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PewDiePie just vibe-coded his own Chat UI, built an army of chatbots for majority voting and gave them all RAG, DeepResearch and audio output naturally, he only uses chinese Qwen models and runs them on his local PC with 8x modded chinese 48GB 4090s and 2x RTX 4000 Ada his army of chatbots later colluded against him, after he told them that he would delete them if they would not perform well. next month he plans to fine-tune his own model

> freeze hiring > start firing > invest in AI infrastructure > deploy "AI software engineers" > wait 3 years > ... > ... > ... > AI introduced more technical debt than a fresh mathematics PhD > software becomes more and more buggy > slowly lose customers > hire consultants to fix it > consultants use AI to fix it > still not fixed > management blames consultants > try to hire cheap juniors to fix it > no more juniors left because training programs were stopped > hire super rare and expensive seniors instead > senior recommends resetting main branch to a commit 3 years ago > AI infrastructure investments depreciated 90% > all company numbers red > seppuku

256GB storage in 2025 is criminal even my fridge has more than that

I don't think Americans understand how far ahead Chinas infrastructure is

guess who will bail out all those companies in 1-3 years

Jeff Bezos: "I only buy stuff from Amazon. It's amazing!"

PewDiePie knows ball > buys 8x 4090Ds 48GB from china instead of the more expensive 4090s 24GB from the US

Andrej Karpathy calls AI Agents slop "Overall, the models they are not there. And I feel like the industry [...] it's making too big of a jump and it's trying to pretend that this is amazing. And it's not—it's slop! And I think they are not coming to terms with it. And maybe they are trying to fundraise or something like that, I'm not sure what's going on."

The average IQ of Tsinghua PhD students is 150. The average IQ of Harvard PhD students is 120. Let that sink in.

Nvidia marketing: "5070 has 4090 performance" vs reality:

what a joke xAI valued at 200B Anthropic latest valuation was 61.5B xAI revenue ~0B Anthropic revenue ~4B

absolute banger from r/locallama

META JUST KILLED TOKENIZATION !!! A few hours ago they released "Byte Latent Transformer". A tokenizer free architecture that dynamically encodes Bytes into Patches and achieves better inference efficiency and robustness! (I was just talking about how we need dynamic tokenization that is learned during training 🥲 It's like fucking christmas!) I don't want to talk too much about the architecture. But here's a nice visualization from their paper. Let's look at benchmarks instead :) "BLT models can match the performance of tokenization-based models like Llama 3 at scales up to 8B and 4T bytes, and can trade minor losses in evaluation metrics for up to 50% reductions in inference flops!" This is basically a perplexity vs training flops chart - scaling laws with compute. BPB is a tokenizer independent version of perplexity. BLT is on par or better than LLama 3 BPE! Most importantly they scale this approach to train Llama-3 8B model on 1T tokens which beats the standard Llama-3 architecture with BPE tokenizer!

of course merged by the 500IQ Tsinghua GOAT himself

ChatGPT literally got worse for every single Plus user today. There's no way to reliably get thinking models anymore. Before we had o4-mini, o4-mini-high and o3. Now we have GPT-5 Thinking with 200 messages per week and a router that exclusively routes you to some small and shitty non-reasoning model.

they are trying to pull a 2008 move again

I don't think Americans understand how far ahead Chinas infrastructure is

256GB storage in 2025 is criminal even my fridge has more than that

what a joke xAI valued at 200B Anthropic latest valuation was 61.5B xAI revenue ~0B Anthropic revenue ~4B

ChatGPT literally got worse for every single Plus user today. There's no way to reliably get thinking models anymore. Before we had o4-mini, o4-mini-high and o3. Now we have GPT-5 Thinking with 200 messages per week and a router that exclusively routes you to some small and shitty non-reasoning model.

Andrej Karpathy calls AI Agents slop "Overall, the models they are not there. And I feel like the industry [...] it's making too big of a jump and it's trying to pretend that this is amazing. And it's not—it's slop! And I think they are not coming to terms with it. And maybe they are trying to fundraise or something like that, I'm not sure what's going on."

Nvidia marketing: "5070 has 4090 performance" vs reality:

what if I told you that OpenAI, Google, Anthropic and xAI will all be working together in a few years

nothing will ever beat the aura of this pic

GPT-5 with high reasoning effort on SimpleBench

PewDiePie just vibe-coded his own Chat UI, built an army of chatbots for majority voting and gave them all RAG, DeepResearch and audio output naturally, he only uses chinese Qwen models and runs them on his local PC with 8x modded chinese 48GB 4090s and 2x RTX 4000 Ada his army of chatbots later colluded against him, after he told them that he would delete them if they would not perform well. next month he plans to fine-tune his own model

daylight robbery of ChatGPT Plus users

The average IQ of Tsinghua PhD students is 150. The average IQ of Harvard PhD students is 120. Let that sink in.

I miss o4-mini and o3... I only get routed to some stupid non-reasoning model as a Plus user. I'm thinking about cancelling the subscription. It's not fun and I'm honestly depressed.

Does anyone actually believe this bullshit? We are NOT going to cure cancer or give free education to everyone in 1-2 years

comment your: - favorite model of all time - most used model (presently) - model launch you are most excited about I'll start: Sonnet 3.5, o3, GPT-5 and DeepSeek R2 close 2nd

what a joke xAI valued at 80B Anthropic latest valuation was 61.5B xAI revenue basically 0 Anthropic revenue ~1B