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Research @allen_ai, reasoning, open models, RL(VR/HF)... Contact via email. Writes @interconnectsai, Wrote The RLHF Book, 🏔️🏃‍♂️

885 following60k followers

Archetype analysis

The Analyst

Nathan Lambert is a deeply insightful researcher at Allen AI who thrives on dissecting the complexities of reasoning and open models. With nearly 10,000 tweets under his belt, he expertly bridges AI research with real-world implications while maintaining a grounded, approachable persona. His sharp observations and data-driven commentary make him a go-to voice in the AI community.

Recent engagement

Impressions

3.5M114.2k

Estimate earning$665.17

Likes

22.5k1k

71%

Retweets

1.3k-5

Replies

1.1k40

Bookmarks

6.8k819

21%

Get more insights about Nathan Lambert with SuperX

Social Circle

Top users who interacted with Nathan Lambert over the last 14 days

Shivansh @Shivansh_C

2 interactions

Carlos @SeeLos

2 interactions

Aidan McLaughlin @aidan_mclau

research scientist @openai

2 interactions

Himanshu Kumar @codewithimanshu

Daily posts on AI , Tech, Programing, Tools, Jobs, and Trends | 500k+ (LinkedIn, IG, X) Collabs- abrojackhimanshu@gmail.com

2 interactions

Arxi vinsan @arxivinsanity

Student for life

1 interactions

Rahul Dave @rahuldave

Teaches and does Stats, ML and AI. Co-Founder and Chief Scientist Univ.Ai. Former Lecturer at Harvard and Astrophysicist at Penn. Bayesian.

1 interactions

Andrew Kepson @AndrewKepson

Christian. SEO specialist turned web developer based in the Rocky Mountains. Starlink nomad. Building w/ Astro, WordPress, & React.

1 interactions

pranav @pranftw

Backpropagating through life!

1 interactions

Pablo Samuel Castro @pcastr

Señor swesearcher @ Google DeepMind. Adjunct prof @ U de Montreal & Mila. Musician. From 🇪🇨 living in 🇨🇦.

1 interactions

Niffylord @Niffylord_CORE

Creator || Strategist || Idealist || Researcher || Security Researcher || Builder

1 interactions

Yann Dubois @yanndubs

Posttraining @OpenAI | PhD @StanfordAILab

1 interactions

Satpal Singh Rathore @satpalsr

Solving AI in physical world. Resident @lossfunk

1 interactions

Mariusz Kurman @mkurman88

from bedside to byte_side | MD ⏩ AI | 🇵🇱 | Owner: medcases_io | GitHub ⬇️

1 interactions

Sebastian Raschka @rasbt

ML/AI research engineer. Ex stats professor. Author of "Build a Large Language Model From Scratch" (amzn.to/4fqvn0D) & reasoning (mng.bz/lZ5B)

1 interactions

Yannick Nick @JustDoingItBig

M.S. CS ML student @GeorgiaTech | @LedgerQL | @SegaKatanaCom

1 interactions

Connor Shorten @CShorten30

AI and Databases @weaviate_io

1 interactions

Hannes Lehmann @_hanneslehmann_

Chief Catalyst | Systems Thinker & AI | Innovation Enthusiast | Turning Ideas into Reality. https://t.co/5CSqscTI5F, https://t.co/y83S2yNSCg, https://t.co/E5b1

1 interactions

Lon()@Lon

Absurdist intern. Exquisite shitpoasting. High-school dropout + teenage dad. Failed angel investor. EP on Gary Busey film. SIGMOD winner. Shipped infra you use.

1 interactions

Gautam Goswami @CuriousGoswami

AWS-Bedrock | Ex-AWS-SageMaker | Ex-Meta | Working with 🧠🤖💥

1 interactions

Oscar Le @oscarle_x

Cofounder & CEO of SilverAI - SnapEdit, Fitroom. 50M users. Ph.D in CS. Interested in AI.

1 interactions

🔥 Roast

Nathan’s tweets dive so deep into AI theory that if you blink, you might miss the calculus equations flying by—he’s like your friendly neighborhood AI lexicon who’s secretly training you for an IQ marathon without a warm-up.

⚡️ Nice achievement

One of Nathan’s biggest wins is authoring 'The RLHF Book,' a key resource in the reinforcement learning community that cements his reputation as a thought leader and technical expert.

🌟 Life's purpose

Nathan’s life purpose revolves around pushing the boundaries of artificial intelligence by analyzing and improving reinforcement learning models, ultimately making AI more accessible and effective for the world. He aims to transform complex research into actionable insights that help developers, academics, and businesses innovate responsibly.

💬 Values and Beliefs

He believes that transparency in AI development, practical models that are both efficient and scalable, and ethical considerations in reinforcement learning should guide the future of AI technology. Nathan values rigorous analysis, continuous learning, and sharing knowledge to empower a smarter tech ecosystem.

💪 Strength

His key strength lies in his ability to combine deep technical understanding with clear, engaging communication, making complicated AI topics accessible and relevant. Additionally, his prolific tweeting demonstrates consistency and dedication to community engagement.

🫣 Weakness

Nathan can sometimes get so immersed in technical minutiae that casual followers might find his content dense or overly specialized, potentially limiting broader appeal. Also, with nearly 900 people followed, his network might be too sprawling to optimize personalized engagement.

⚡️ Growth audience tips

To grow his audience on X, Nathan should incorporate more storytelling around his personal experiences and non-technical insights to humanize his profile, while leveraging thread series and accessible explainers to engage newcomers. Collaborating with popular AI influencers and simplifying complex topics with visual aids could also boost his reach.

💁 Bonus

Fun fact: Nathan has written a book on RLHF (Reinforcement Learning with Human Feedback), showcasing his expertise and commitment to advancing this cutting-edge field—plus, he’s an avid outdoor enthusiast, balancing high-intensity research with mountain runs.

Nathan Lambert@natolambert · Jan 23, 2025

Meta is definitely not alone in this. And its normally overblown too.

Nathan Lambert@natolambert · Oct 21

Airbnb CEO Brian Chesky: “We’re relying a lot on Alibaba’s Qwen model. It’s very good. It’s also fast and cheap... We use OpenAI’s latest models, but we typically don’t use them that much in production because there are faster and cheaper models.” The valley is built on Qwen?

Nathan Lambert@natolambert · Sep 05

The weirdest VC subsidizing of our time, 10% of the Anthropic series F goes to writers

287k

Nathan Lambert@natolambert · Oct 20

Life update, she said yes. 🤩👩‍❤️‍👨🐕‍🦺

176k

Nathan Lambert@natolambert · Apr 01

I’ve joined OpenAI

357k

Nathan Lambert@natolambert · Apr 08

vagueposting is the worst part of the ai community here

131k

Nathan Lambert@natolambert · Apr 25

transparency in AI is dying: no evals, no release notes, just vibes and more bad naming

213k

Nathan Lambert@natolambert · May 22

Anthropic sliding into that code tooling company role instead of AGI race role

242k

Nathan Lambert@natolambert · Jun 05

In my recent trip, the waymo market in SF has converged to ~2-3x the wait time and ~2-3x the cost of uber because that's how much more people are willing to pay for Waymo.

157k

Nathan Lambert@natolambert · Oct 12

Recurring frontier lab gossip: OpenAI has best post-training/rl and has pushed it super hard on weaker pretraining. Gemini has spectacular pretraining. Making a reasoning model was super easy for them & OpenAI folks were surprised Anthropic? Secretive i guess.

231k

Nathan Lambert@natolambert · Jun 25

A sign Google is waking up is them dropping by far and away the biggest free plans across the industry. This time is for the Claude Code competitor. Super excited, next time can be them getting rid of "Gemini Advanced" or whatever it is. Free Gemini.

324k

Nathan Lambert@natolambert · May 11

leaders in ai talk like there's some master plan but it's literally just this

55k

Nathan Lambert@natolambert · Dec 13, 2024

ILYA: "PRETRAINING IS DONE. WE ARE NOW IN THE POST TRAINING ERA."

197k

Nathan Lambert@natolambert · Sep 29

This is a way bigger deal than the Claude release.

308k

Nathan Lambert@natolambert · Apr 17

Props to Google for including O4-mini in their Flash 2.5 release. A model released *yesterday*, while some companies only compare to their own models. Looking good gemini.

66k

Nathan Lambert@natolambert · Dec 20, 2024

o3 does not use different training nor inference methods than o1 (at least in pro mode). No special "search". OpenAI just found a hill and very quickly started hillclimbing it. Excited to build an open-source one and prove this to you in 2025. interconnects.ai/p/openais-o3-t…

121k

Most engaged tweets of Nathan Lambert

Nathan Lambert@natolambert · Oct 20

Life update, she said yes. 🤩👩‍❤️‍👨🐕‍🦺

176k

Nathan Lambert@natolambert · Jan 23, 2025

Meta is definitely not alone in this. And its normally overblown too.

Nathan Lambert@natolambert · Apr 01

I’ve joined OpenAI

357k

Nathan Lambert@natolambert · Nov 02

Claude 4.1 Opus > Claude 4.5 Sonnet

118k

Nathan Lambert@natolambert · Oct 21

Nathan Lambert@natolambert · Oct 03

Who's using GPT-OSS and for what? Was it cheaper, better, faster than other open models? Or just not from China? Download numbers are actually very strong on HuggingFace for first model releases.

124k

Nathan Lambert@natolambert · Mar 20, 2024

Excited to share something that we've needed since the early open RLHF days: RewardBench, the first benchmark for reward models. 1. We evaluated 30+ of the currently available RMs (w/ DPO too). 2. We created new datasets covering chat, safety, code, math, etc. We learned a lot.

112k

Nathan Lambert@natolambert · Jan 10, 2025

New export controls incoming, Bloomberg reporting: "But if an AI company wants to fine-tune a general-purpose open weight model for a specific purpose, and that process uses a significant amount of computing power, they would need to apply for a US government license to do so in a Tier 2 country." Controlling who in the entire world can finetune on what seems like a losing and generally bad proposition.

233k

Nathan Lambert@natolambert · Sep 05

The weirdest VC subsidizing of our time, 10% of the Anthropic series F goes to writers

287k

Nathan Lambert@natolambert · May 22

Anthropic sliding into that code tooling company role instead of AGI race role

242k

Nathan Lambert@natolambert · Sep 29

This is a way bigger deal than the Claude release.

308k

Nathan Lambert@natolambert · Apr 08

vagueposting is the worst part of the ai community here

131k

Nathan Lambert@natolambert · Jun 05

In my recent trip, the waymo market in SF has converged to ~2-3x the wait time and ~2-3x the cost of uber because that's how much more people are willing to pay for Waymo.

157k

Nathan Lambert@natolambert · Jul 19

What's the next wall people are claiming for AI? First we ran out of data, then RL wouldn't generalize outside of math/code, what's next? Only real wall seems to be compute availability.

34k

Nathan Lambert@natolambert · Aug 09

In some ways the GPT-5 release feels like the Llama 4 release. They just waited too long to get it out. Feels like some weirdness may be happening behind the scenes. Messy release in terms of presentation & technical details. Blip or trend for OpenAI?

174k

Nathan Lambert@natolambert · Jan 26

DeepSeek app sitting at number 1 overall in the US Iphone App Store is not on my bingo card and is the biggest sign yet that the ChatGPT moat can maybe be cracked.

151k

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convinced to try it asap, we should all try fp16, look at this plot man. FP16 is like perfect in error reduction. \n\n\"This is precisely why switching to FP16 provides a fundamental solution. With its 10 mantissa bits, FP16 offers 8 times more precision (2^10 values vs. 2^7 values) than BF16. This higher fidelity means that the outputs of the training and inference engines are much more likely to be numerically identical. The increased precision creates a buffer that absorbs the minor implementation differences between the two engines, preventing rounding errors from accumulating and causing a policy divergence.\n\nFor RL fine-tuning, the dynamic range of the model’s weights and activations has already been established during pre-training. Therefore, the extreme range of BF16 is less critical, while the precision it sacrifices becomes a dominant drawback. By reverting to FP16, we trade the unnecessary range of BF16 for the critical precision, effectively closing the gap between training and inference without any complex algorithmic or engineering workaround.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984279763964534836","quoted_status_permalink":{"url":"https://t.co/SFWyanFVww","expanded":"https://twitter.com/tdietterich/status/1984279763964534836","display":"x.com/tdietterich/st…"},"retweeted":false,"fact_check":null,"id":"1984406758551666730","view_count":59002,"bookmark_count":73,"created_at":1761954414000,"favorite_count":327,"quote_count":5,"reply_count":17,"retweet_count":26,"user_id_str":"2939913921","conversation_id_str":"1984406758551666730","full_text":"I feel strongly that, while I understand the challenges they're feeling to run this, that this is the wrong decision. What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. All of this is going to just delay research being published, because peer review takes time. Peer review at the same time is being completely rebuilt in the era of AI and it'll take even longer to fix.\n\nPeer review is going to be reworked as AI first with human oversight. It's currently assumed to be all Human. It'll be a very different process in 20 years.\n\nAfter Arxiv institutes a peer review requirement for technical work, it'll be the slow death of the platform. A competitor will come out. A slippery slope has started, and I'm happy to consult with the team on it as it seems like a lose-lose tradeoff.\n\nFor example, with this, I'd never be able to publish my RLHF book PDF on Arxiv, even though it was extremely requested and is likely a very well read PDF (more than much of my research work).\n\nKeep arxiv as the default. We don't want this run by a for profit company. Hosting and open access to research is a fundamental win for humanity. Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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His consistent content, backed by research and community feedback, builds credibility and trust among enthusiasts.","weakness":"Sometimes his analytical deep-dives might fly over the heads of casual followers, and his self-described 'kinda do infographics' humility may mask a need for sharper marketing to boost wider reach and engagement.","recommendation":"To grow his audience on X, Nikos should amplify his storytelling by weaving more personal insights and community interactions into his tweets, paired with polished infographics that catch quick scrollers’ attention. Collaborating more with influencers and hosting Twitter Spaces to discuss launch data live could drive engagement and follower growth.","roast":"Nikos probably has a separate spreadsheet just for the spreadsheet where he tracks his spreadsheet mistakes — the kind of guy whose moon math is so detailed, even NASA is taking notes but still hasn’t explained half of his tweet threads.","win":"Consistently providing real-time, data-driven updates on high-return crypto launches that many overlook, helping his community catch early opportunities like the $IRIS and @virtuals_io genesis launches with impressive ROI stats."},"created":1763364399523,"type":"the analyst","id":"0xnikos"},{"user":{"id":"1278965318031826945","name":"赢自在｜Believe","description":"#Bitcoin #Ethereum#\n\nbuild #Binance 近3亿选择：https://t.co/WPUoB2yQyx\n\n打赏地址：\n\n0x88929b2c659aAA088Ae5de8b61D16003cBaf0eC1\n\nKeep your capital！\n\n爱好研究meme、公链/投资日志","followers_count":433,"friends_count":2162,"statuses_count":1164,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1932719682752323584/vb75iYy9_normal.jpg","screen_name":"BTCGodwan","location":"","entities":{"description":{"urls":[{"display_url":"binance.com","expanded_url":"http://binance.com","url":"https://t.co/WPUoB2yQyx","indices":[42,65]}]}}},"details":{"type":"The Analyst","description":"赢自在｜Believe is a sharp-minded crypto skeptic and data-driven commentator who blends deep blockchain knowledge with raw personal experience in meme coins and DeFi. Their journey from hopeful investor to seasoned critic fuels insightful takes on market mechanics and tokenomics, making them a trusted voice in the crypto community. They balance humor and honesty, always advocating for smarter, evidence-based engagement.","facts":"Despite losing money as a novice trader for over two years, they turned their experience into valuable lessons for the community, sharing detailed analyses of market trends, token performance, and high-risk projects like meme coins and Web3 tokens.","purpose":"To expose the realities behind crypto hype and educate their audience on how to invest with caution and knowledge, thereby empowering them to avoid common pitfalls and build sustainable crypto portfolios.","beliefs":"They believe in transparency, rigorous analysis, and the power of an informed community to navigate the volatile crypto space. While skeptical of pump-and-dump schemes and hype tokens, they support projects with genuine innovation and solid fundamentals.","strength":"Their greatest strength lies in their ability to dissect complex token economics and market behavior with clarity, backed by personal trial-and-error experience, making their critiques both credible and relatable.","weakness":"A tendency toward skepticism might alienate more optimistic community members, and their critical tone could be misinterpreted as negativity, potentially limiting broader appeal or engagement.","recommendation":"To grow their audience on X, they should continue leveraging their analytical prowess but add more personal storytelling and interactive content such as polls or Q&A threads that invite followers into their decision-making process, fostering deeper connections and increased shareability.","roast":"You’re like that friend who’s always the last to jump on the party bus but first to point out it’s probably heading into a ditch — a crypto Cassandra who turns skepticism into an art form, making everyone question whether you’re just cautious or a chronic contrarian.","win":"Credibly transforming personal losses into a trusted voice in crypto analysis,赢自在｜Believe has cultivated a reputation for insightful market commentary that helps countless followers avoid costly mistakes and spot real innovation."},"created":1763364179648,"type":"the analyst","id":"btcgodwan"},{"user":{"id":"1763416046764007424","name":"Annie Tyzak","description":"/ES futures trader since Thanksgiving 2015 📈🇺🇸","followers_count":3137,"friends_count":500,"statuses_count":110652,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1965551049739030529/rtldm_co_normal.jpg","screen_name":"AnnieTyzak","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"Annie Tyzak is a seasoned ES futures trader with a sharp eye for financial insights and market realities. She shares pragmatic and data-driven observations about money, investments, and economic trends that provoke thoughtful conversations. With over 110,000 tweets, Annie is clearly passionate about dissecting financial scenarios and engaging her audience with real-world examples.","facts":"Annie has been trading ES futures steadily since Thanksgiving 2015, demonstrating a deep commitment and expertise in a complex financial arena. She also utilizes storytelling through personal acquaintances to illustrate her points, making financial nuances accessible and relatable.","purpose":"Annie’s life purpose revolves around empowering her community with financial literacy and market savvy through straightforward, no-nonsense commentary. She aims to demystify the complexities of investing and economic choices, helping others make smarter financial decisions.","beliefs":"She values transparency, precision, and practical knowledge over hype or speculation. Annie believes in cutting through financial misinformation and advocates for responsible trading and investing based on careful analysis rather than emotional reactions.","strength":"Her greatest strength lies in her analytical prowess and ability to translate complex financial concepts into digestible stories. Annie’s consistent engagement and prolific tweet volume establish her as a trusted voice in the trading and finance space.","weakness":"Her direct and factual style might sometimes come across as blunt or overly critical, potentially alienating followers who prefer motivational or more optimistic takes. The heavy volume of tweets, while impressive, risks overwhelming her audience or diluting the impact of standout insights.","recommendation":"To grow her audience on X, Annie should balance her sharp analysis with occasional interactive content like polls or Q&As that invite followers into the conversation. Highlighting success stories or shared learnings can also build a stronger emotional connection and boost engagement.","roast":"Annie’s tweet count is so high, if she traded as often as she tweets, she’d have retired on Mars by now — but no worries, she’d probably analyze Mars’ market trends next.","win":"Building a loyal following and maintaining visibility in the competitive and fast-moving ES futures trading niche since 2015 is a formidable achievement, demonstrating both expertise and resilience."},"created":1763363625884,"type":"the analyst","id":"annietyzak"},{"user":{"id":"1611600540080955393","name":"Goldman🌙 (✧ᴗ✧) ∞ KIN","description":"","followers_count":2357,"friends_count":2720,"statuses_count":22322,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1987502148251492352/2UcdNEJV_normal.jpg","screen_name":"goldrun222","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"Goldman🌙 (✧ᴗ✧) ∞ KIN is a data-driven explorer and crypto enthusiast who dives deep into the technical and economic aspects of blockchain projects. With a knack for dissecting complex crypto advancements and a passion for community engagement, Goldman balances detailed insights with hands-on project participation. Their tweet history reveals a commitment to empowering beginners and sharing real-world token farming strategies.","purpose":"To demystify the evolving crypto ecosystem by providing accessible, in-depth analysis so that both newcomers and seasoned investors can navigate the blockchain landscape with confidence and clarity.","beliefs":"Goldman values transparency, education, and collaboration within the decentralized community, believing that informed users are the backbone of sustainable crypto growth. They hold a strong belief in the power of emerging technologies like zk-Rollups and AI-integrated blockchain data solutions to revolutionize both finance and digital infrastructure.","facts":"Goldman has engaged actively with projects like @RiverdotInc and @KaitoAI, helping others farm tokens and understand point-based reward systems, demonstrating real-world crypto engagement beyond mere commentary.","strength":"Exceptional ability to analyze complex blockchain projects and break them down into actionable insights, combined with consistent high-volume tweeting to maintain community engagement and presence.","weakness":"Tends to overanalyze and engage heavily with niche, technical content, which may alienate casual followers or newcomers not yet fluent in crypto jargon and concepts.","roast":"Goldman’s tweets are so packed with technical jargon and project deep-dives that most people probably think they’re trying to launch a PhD dissertation on blockchain rather than just a Twitter thread. If more cryptos had a Goldman-sized brain, they might actually solve scalability—but can someone explain that to the rest of us in less than 280 characters?","win":"Spearheading awareness and practical participation in projects offering real monetary rewards, like guiding hundreds of followers towards earning thousands through the River token farming campaigns.","recommendation":"To grow their audience on X, Goldman should incorporate more storytelling and simplified explainer threads that serve beginners, along with regular engagement in crypto-related hashtags and conversations. Live Q&A sessions or crypto ‘myth-buster’ threads could amplify reach while retaining their expert authority."},"created":1763362398286,"type":"the analyst","id":"goldrun222"},{"user":{"id":"85225861","name":"Richard Ngo","description":"studying AI and trust. ex @openai/@googledeepmind","followers_count":65773,"friends_count":1828,"statuses_count":10910,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1767420324487090176/EofNUGW2_normal.jpg","screen_name":"RichardMCNgo","location":"San Francisco, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"mindthefuture.info","expanded_url":"https://www.mindthefuture.info","url":"https://t.co/IlggW00wYP","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Richard Ngo is a deep thinker obsessed with decoding the complexities of AI and trust, bringing clarity to intricate social and technological puzzles. With a phenomenally high tweet count and engagement on thought-provoking hypotheses, he’s a powerhouse of insight and analysis. His background at OpenAI and Google DeepMind lends heavyweight credibility to every thread he crafts.","purpose":"To illuminate the nuanced interplay between technology, society, and trust by breaking down complex concepts into digestible, insightful narratives that push the conversation forward.","beliefs":"Richard likely values empirical evidence, intellectual rigor, and the power of data to explain human behavior and societal dynamics. He believes in transparency, thoughtful debate, and the importance of understanding subtle systemic forces, especially around AI and social cohesion.","facts":"Despite tweeting over 10,000 times, Richard manages to keep his content deeply analytical and impactful, often linking AI advancements with societal consequences in ways few discuss.","strength":"His ability to synthesize complex ideas into captivating hypotheses that engage large audiences, combined with a scientific mindset honed from elite AI research labs.","weakness":"His penchant for dense, nuanced arguments might alienate casual followers looking for lighter content, and his critical style can occasionally spark heated debates that overshadow his points.","roast":"Richard tweets like he’s explaining quantum physics to a toddler—exceptionally smart, but half the audience just hopes for a bedtime story instead.","win":"Viral threads that challenge mainstream narratives on migration, AI, and social trust, drawing hundreds of thousands to millions of views and sparking widespread discussion.","recommendation":"To grow his audience on X, Richard should occasionally distill his complex analyses into bite-sized, relatable tweets or threads, perhaps leveraging visuals or analogies to make his insights more shareable without losing depth."},"created":1763362334192,"type":"the analyst","id":"richardmcngo"},{"user":{"id":"1562658788","name":"redline","description":"👾 Researcher 👾Chasing bubbles 👾 Back to my X arc 👾","followers_count":6544,"friends_count":2108,"statuses_count":88291,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1681734142940049409/4EJUKoio_normal.jpg","screen_name":"redlineMeta","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"Redline is a data-savvy market researcher who cracks the code on cryptocurrency volatility and trading strategies. Their tweets break down complex financial concepts into smart, actionable insights that empower followers. Living on the edge of market bubbles, redline mixes deep research with a passion for decoding unpredictable crypto moves.","facts":"Fun fact: Redline’s tweet library boasts over 88,000 posts—talk about commitment to dissecting crypto chaos! They follow over 2,100 accounts, showing a strong network but prefer to let their analysis do the talking rather than follower count.","purpose":"Redline’s life mission is to demystify the volatile world of crypto markets, giving traders tools to navigate bubbles, bursts, and rebounds with data-backed confidence. Their goal is to transform complex financial phenomena into something approachable and actionable for their community.","beliefs":"They believe rigorous research and a calm understanding of market psychology are the keys to thriving amid chaos. Redline values transparency, precision, and continuous learning—seeing the market as a dynamic puzzle to be solved rather than just a gamble.","strength":"An unwavering analytical mind paired with an ability to communicate detailed market insights clearly. Redline excels at spotting trading opportunities in extreme volatility and sharing these gold nuggets with followers.","weakness":"Occasionally, intense focus on data and numbers can make the content dense, which risks alienating casual followers seeking lighter engagement. Their high volume of tweets might overwhelm newer audience members or get lost in the noise without strategic highlighting.","recommendation":"To grow their audience on X, redline should balance their heavy technical content with more engaging storytelling or relatable crypto humor. Using concise, thread-style explainers and interactive polls could boost follower interaction and retention.","roast":"Redline tweets so much analysis, even their own shadow probably needs a week off to catch up on all the charts and jargon. Sometimes they risk turning a quick coffee break into a PhD seminar on crypto volatility.","win":"Their standout achievement is becoming a trusted voice in crypto trading communities by consistently delivering real-time, actionable analysis that helps traders capitalize on rapid market swings—essentially turning chaos into opportunity."},"created":1763361134336,"type":"the analyst","id":"redlinemeta"},{"user":{"id":"884500739636305920","name":"David Rittinghaus","description":"Sap Consulting\nDevelopment\nAgent supervision\nVibecoding Vibe-Code cleaner ;)","followers_count":127,"friends_count":122,"statuses_count":1967,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1626747448826777600/gMH90v4O_normal.jpg","screen_name":"spooky3do","location":"Germany","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"David Rittinghaus is a cerebral explorer of complex systems, weaving narratives and technology into thought-provoking insights. His profile blends deep analytical thinking with a poetic flair, revealing an intellect that appreciates both precision and imagination. Though subtle in his interactions, David’s content sparks curiosity and invites contemplation.","facts":"David’s tweets range from original speculative fiction laden with scientific intrigue to thoughtfully curated shares on quantum physics, AI, and societal issues, showcasing a broad intellectual curiosity.","purpose":"David’s life purpose centers around decoding complexity and making hidden patterns visible, helping audiences understand and appreciate the intersection of technology, science, and humanity through his narratives and insightful commentary.","beliefs":"David values rigorous inquiry, intellectual honesty, and the responsible use of knowledge. He believes in the power of data and logic tempered by empathy and imagination, seeing understanding as a pathway to meaningful action.","strength":"David’s strengths lie in his exceptional analytical mind, his ability to synthesize complex information into accessible formats, and his unique storytelling that enlivens abstract concepts with emotional resonance.","weakness":"His tendency to favor nuance and subtlety may sometimes obscure his voice in the fast-paced, attention-grabbing world of social media, potentially limiting immediate follower engagement and recognition.","recommendation":"To grow his audience on X, David should blend his deep analytical content with more interactive and engaging posts such as polls, Q&A threads, or succinct thought-provoking questions that invite replies. Showcasing highlights from his rich speculative stories and linking them to trending tech topics could also capture broader interest.","roast":"David’s tweets are like an academic conference and poetry slam had a baby—brilliant but sometimes you have to Google half the words just to RSVP to the thought party. If only Cassandra could translate crypto-enigma into instant memes!","win":"Crafting a compelling and widely shared speculative science fiction narrative ('The Veil of Cassandra') that captivated an thoughtful niche audience, demonstrating his talent for blending technical sophistication with evocative storytelling."},"created":1763361054962,"type":"the analyst","id":"spooky3do"},{"user":{"id":"28296806","name":"Jordan Thibodeau","description":"Former Google & Slack M&A, Ice cream maker & gamer.","followers_count":2680,"friends_count":715,"statuses_count":18457,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1388899610333048837/_TeL6226_normal.jpg","screen_name":"JordanSVIC","location":"San Jose, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"youtube.com/@svicpodcast?s…","expanded_url":"https://youtube.com/@svicpodcast?si=OfjzDGeHJ6I8kvWC","url":"https://t.co/BelfSuxnSn","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Jordan Thibodeau is a sharp-minded tech observer with a knack for dissecting complex industry trends, especially in AI and SaaS. A former insider at Google and Slack M&A, Jordan blends high-level corporate insight with a playful personal twist as an ice cream maker and gamer. His tweets reflect thoughtful critique and thoughtful community support, making him a go-to voice for nuanced discussions in the tech valley.","purpose":"Jordan’s life purpose revolves around unraveling the real impacts of technology shifts on businesses and communities, aiming to clarify the chaos and help others navigate the future with strategic intelligence. He leverages his deep industry experience to guide conversations around AI integration and SaaS evolution, promoting smarter adoption and realistic expectations.","beliefs":"He believes in transparency, the power of interconnected systems over siloed solutions, and the importance of balancing technological innovation with practical human needs. Jordan values earnestness in tech discussions, favoring informed critique over hype, and holds a firm belief that real progress hinges on useful, user-centric design rather than corporate ego.","facts":"Fun fact: Jordan isn’t just a tech analyst; when he’s not breaking down AI trends, he’s churning out ice cream or diving into gaming sessions — talk about a multi-talented multitasker!","strength":"Jordan’s strongest asset is his ability to analyze and communicate complex technological phenomena in an accessible, compelling way. His experience at top-tier companies equips him with insider understanding and credibility, while his prolific tweeting keeps his community engaged and informed.","weakness":"His deep analytical style might sometimes come across as overly critical or niche, potentially alienating casual followers who prefer lighter content. Additionally, his engagement style, while informative, may benefit from more direct interaction to boost community warmth.","recommendation":"To grow his audience on X, Jordan should mix his intellectual deep-dives with more personal storytelling and engage consistently with followers through replies and polls. Highlighting his unique blend of tech savvy and personal passions like ice cream making or gaming could humanize his profile and attract a wider, more diverse audience.","roast":"Jordan’s tweet frequency matches his ice cream output — so high that one has to wonder if he’s secretly trying to program the scoop machine to tweet for him. We get it, you love tech and treats, but maybe let the ice cream melt a little before hitting send on the next hot take!","win":"Successfully leveraged his tenure at Google and Slack to build a respected voice dissecting AI and SaaS industry trends, carving out a niche as a go-to analyst for those wanting candid, no-fluff tech commentary."},"created":1763360957754,"type":"the analyst","id":"jordansvic"},{"user":{"id":"1650869278642434048","name":"Miyagi ☯️","description":"I Research Defi,Info fi & Web3 📚/ Ex @wasabi_protocol / Moon Cycle Trader 🌖","followers_count":6856,"friends_count":5816,"statuses_count":15783,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1951404641595412480/4dZ0ao6g_normal.jpg","screen_name":"MistaMiyagisWay","location":"The Dojo","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"app.ethos.network/profile/x/Mist…","expanded_url":"https://app.ethos.network/profile/x/MistaMiyagisWay","url":"https://t.co/Z47kZ2NmHr","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Miyagi ☯️ is a deep-dive researcher focused on DeFi, InfoFi, and Web3, bringing clarity to complex crypto ecosystems with well-researched threads. With a strong background at @wasabi_protocol and now marketing at @PistachioFi, Miyagi thrives on uncovering value and sharing insightful stories. Their tweets showcase a passion for educating and breaking down intricate blockchain projects for the community.","purpose":"To illuminate the rapidly evolving DeFi and Web3 space by providing thoughtful, research-based insights that empower followers to make smarter decisions and stay ahead of market trends.","beliefs":"Miyagi believes in the power of knowledge-sharing, transparency, and community-driven growth in blockchain. They trust that thorough research and clear communication can demystify complex innovations and ultimately lead to a more informed and engaged crypto ecosystem.","facts":"Fun fact: Miyagi is not just about tech and trading — they also moonlight as a 'Moon Cycle Trader' and even embrace their inner garden enthusiast with 'full view friday🌱' tweets, proving that even blockchain geeks need a little zen.","strength":"Exceptional research skills, a knack for storytelling, and the ability to translate complicated blockchain concepts into digestible, engaging content. Miyagi also brings real-world industry experience which adds credibility to their insights.","weakness":"With nearly 16,000 tweets and following over 5,800 accounts, Miyagi risks flooding their audience with information overload and might struggle to maintain high engagement or a focused personal brand voice amidst vast content.","recommendation":"To grow their audience on X, Miyagi should leverage their expertise through regular, bite-sized insights combined with engaging multimedia content like charts or video explainers. Interactive threads and AMAs around trending DeFi topics could boost follower interaction and attract crypto novices looking for guidance.","roast":"For someone deeply immersed in DeFi and InfoFi, Miyagi sure follows football-team-sized Twitter lists — maybe they’re just trying to catch every moon cycle… or lost their way in the garden of follows.","win":"Securing a marketing role at @PistachioFi, a rising star in the crypto space, demonstrates Miyagi’s recognized expertise and trusted voice in the Web3 community, paving the way for greater influence and impact."},"created":1763359692399,"type":"the analyst","id":"mistamiyagisway"},{"user":{"id":"1019763768631447552","name":"david rein","description":"sentio ergo sum. science @METR_Evals","followers_count":3246,"friends_count":1177,"statuses_count":5136,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1375548507621257220/OOUh4_Yz_normal.jpg","screen_name":"idavidrein","location":"sf","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"idavidrein.com","expanded_url":"http://idavidrein.com","url":"http://idavidrein.com","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"David Rein is a deeply thoughtful science communicator who blends data-driven insights with sharp skepticism. With a prolific presence in scientific discussions, he challenges popular assumptions and shares complex research with clarity. His tweets reveal a mix of intellectual rigor and personal reflection that engages both minds and hearts.","purpose":"David’s life purpose is to dissect complex problems with precision and share his findings to elevate collective understanding, all while encouraging critical thinking in a noisy world. He aims to demystify academic and scientific research, making rigorous knowledge accessible and relevant.","beliefs":"David values intellectual honesty, skepticism, and evidence-based reasoning. He believes that true understanding comes from questioning the status quo and scrutinizing assumptions, no matter how widely accepted they are. Transparency and rigor in science and communication are at the core of his worldview.","facts":"Fun fact: Despite his scientific prowess and frequent technical tweets, David shows a charming vulnerability in reflecting on a youthful social misstep—reminding us that even the smartest analysts have their 'heartbreak data points.'","strength":"David’s greatest strength lies in his analytical mind and ability to communicate complex scientific ideas clearly and engagingly. His large volume of tweets and deep involvement in research topics demonstrate an impressive dedication to knowledge sharing.","weakness":"His deep analytical nature sometimes makes him overly skeptical, potentially leading him to dismiss ideas too quickly or come off as blunt, which might alienate less technical audiences.","roast":"For someone who tweets over 5000 times dissecting the nuances of science, you’d think David could finally decode the secret of teenage crushes. Spoiler alert: emotions remain the ultimate unsolved equation in his dataset.","win":"David’s biggest win is launching GPQA, a groundbreaking ‘Google-proof’ Q&A benchmark that challenges even expert PhDs and advances scalable oversight in AI research.","recommendation":"To grow his audience on X, David should consider blending more personal storytelling with his analytical content—connecting his data insights to everyday experiences in a relatable tone will boost engagement. Hosting regular Twitter Spaces or live Q&A sessions could also leverage his expertise to build a more interactive and loyal community."},"created":1763359613675,"type":"the analyst","id":"idavidrein"}],"activities":{"nreplies":[{"label":"2025-10-19","value":41,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3382720905","name":"Xeophon","screen_name":"xeophon_","indices":[42,51]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979569891100295428","quoted_status_permalink":{"url":"https://t.co/MWYUqZSJRb","expanded":"https://twitter.com/interconnectsai/status/1979569891100295428","display":"x.com/interconnectsa…"},"retweeted":false,"fact_check":null,"id":"1979570969854496975","view_count":23377,"bookmark_count":11,"created_at":1760801472000,"favorite_count":28,"quote_count":1,"reply_count":4,"retweet_count":6,"user_id_str":"2939913921","conversation_id_str":"1979570969854496975","full_text":"Another roundup of the latest models with @xeophon_ ! \nFun parts: \n1. 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convinced to try it asap, we should all try fp16, look at this plot man. FP16 is like perfect in error reduction. \n\n\"This is precisely why switching to FP16 provides a fundamental solution. With its 10 mantissa bits, FP16 offers 8 times more precision (2^10 values vs. 2^7 values) than BF16. This higher fidelity means that the outputs of the training and inference engines are much more likely to be numerically identical. The increased precision creates a buffer that absorbs the minor implementation differences between the two engines, preventing rounding errors from accumulating and causing a policy divergence.\n\nFor RL fine-tuning, the dynamic range of the model’s weights and activations has already been established during pre-training. Therefore, the extreme range of BF16 is less critical, while the precision it sacrifices becomes a dominant drawback. By reverting to FP16, we trade the unnecessary range of BF16 for the critical precision, effectively closing the gap between training and inference without any complex algorithmic or engineering workaround.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984279763964534836","quoted_status_permalink":{"url":"https://t.co/SFWyanFVww","expanded":"https://twitter.com/tdietterich/status/1984279763964534836","display":"x.com/tdietterich/st…"},"retweeted":false,"fact_check":null,"id":"1984406758551666730","view_count":59002,"bookmark_count":73,"created_at":1761954414000,"favorite_count":327,"quote_count":5,"reply_count":17,"retweet_count":26,"user_id_str":"2939913921","conversation_id_str":"1984406758551666730","full_text":"I feel strongly that, while I understand the challenges they're feeling to run this, that this is the wrong decision. What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. All of this is going to just delay research being published, because peer review takes time. Peer review at the same time is being completely rebuilt in the era of AI and it'll take even longer to fix.\n\nPeer review is going to be reworked as AI first with human oversight. It's currently assumed to be all Human. It'll be a very different process in 20 years.\n\nAfter Arxiv institutes a peer review requirement for technical work, it'll be the slow death of the platform. A competitor will come out. A slippery slope has started, and I'm happy to consult with the team on it as it seems like a lose-lose tradeoff.\n\nFor example, with this, I'd never be able to publish my RLHF book PDF on Arxiv, even though it was extremely requested and is likely a very well read PDF (more than much of my research work).\n\nKeep arxiv as the default. We don't want this run by a for profit company. Hosting and open access to research is a fundamental win for humanity. Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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What Arxiv is in practice versus what it is in reality is very different.\n\nIn practice there are already moderation rules, but they're so minimally enforced (due to being swamped) that they're effectively not there. See things like Schaeffer, Rylan. \"Pretraining on the test set is all you need.\" arXiv preprint arXiv:2309.08632 (2023). Many more cases. Arxiv moderation is already a unpredictable black box that's hampers the dissemination of research and predictability of the research ecosystem.\n\nIt is important to note that Arxiv has policies in place that make this, student projects, maybe RLHF book, and other commonly posted things \"not allowed.\"\n\nIn fact, Arxiv should be going in the other direction. Be the platform where everyone accepts ANY CS research is, and figure out if it's good later.\n\nThis feels like the early stages of a slow death of Arxiv. Where in 2-3 years they'll say the same for \"technical\" research, and then require peer review there. 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Figuring out how to curate it is a new problem for the AI age, please don't leave it to our somewhat broken peer review institutions. Make it something new that is AI native. Lean into the future.\n\nUpdate Arxiv's policies to reflect reality, not a slipping goal that is likely to be impossible to achieve.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"arxiv.org/abs/2510.26788","expanded_url":"https://arxiv.org/abs/2510.26788","url":"https://t.co/vgrGebfUq4","indices":[0,23]}],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"zxx","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984262506882453754","view_count":1771,"bookmark_count":2,"created_at":1761920022000,"favorite_count":12,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"https://t.co/vgrGebfUq4","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262505443844263","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,144],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984263618230386697","view_count":1809,"bookmark_count":0,"created_at":1761920287000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"key word \"try\" it, lots of things can get in the way of scaling this, but sometimes things work like this. No panaceas, but sometimes easy wins.","in_reply_to_user_id_str":"2939913921","in_reply_to_status_id_str":"1984262506882453754","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"natolambert","lang":"en","retweeted":false,"fact_check":null,"id":"1984271108175278565","view_count":1732,"bookmark_count":0,"created_at":1761922072000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"2939913921","conversation_id_str":"1984262505443844263","full_text":"i bet it varies heavily by model and other impl 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