Get live statistics and analysis of Ryan Hart's profile on X / Twitter

Dude that likes AI. Live in Mom basement not SF. #notcracked Currently directing a film called “Revenge of the VibeCoders”

566 following18k followers

The Innovator

Ryan Hart is the quintessential AI enthusiast, breaking down complex tech trends into accessible insights with a dash of humor. Living the basement coder life, he’s also a budding filmmaker directing ‘Revenge of the VibeCoders,’ blending creativity with cutting-edge tech. His passion for democratizing AI knowledge shines through his viral, educational tweets.

Impressions
538.6k-399.6k
$100.96
Likes
4.7k-4k
39%
Retweets
687-452
6%
Replies
427-265
4%
Bookmarks
6.2k-5.9k
52%

Top users who interacted with Ryan Hart over the last 14 days

@bigaiguy

Love AI and Tech and Dawgpreneurship. Light focus on the DEEP STATE - Lets go to therapy together if possible.

5 interactions
@alex_prompter

Marketing + AI = $$$ 🔑 @godofprompt (co-founder) 🌎 wikitok.wiki (made with AI)

4 interactions
@godofprompt

🔑 Sharing AI Prompts, Tips & Tricks. The Biggest Collection of AI Prompts & Guides for ChatGPT, Grok, Claude & Midjourney AI → godofprompt.ai

4 interactions
@codewithimanshu

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

4 interactions
@kakarot_ai

investor, writer, and full time saviour of earth.

3 interactions
@sir4K_zen

Automation specialist

3 interactions
@18reuchagas

🚀 Software Dev & AI Engineer | 🌐 Creator of the Konkani LLM | 🎌 JLPT N5 | 🤖 GenAI Enthusiast

2 interactions
@leadgenmanthan

I teach AI Agents & Lead Gen AI Agents & Automation | Lead Generation 100K+ students · 200K+ community

2 interactions
@afridi_aka1

Biologitechnologist

2 interactions
2 interactions
2 interactions
@devmuradahmed

Full Stack Dev | .NET | Angular | Building AI-powered Second Brain | Where your thoughts find the perfect place | thinkncache.me

2 interactions
@CodebyNihan

AI Educator. Helping you to your AI, Tech Tools & Digital skills.💬 DM for collaboration

2 interactions
@rryssf_

AI Automation Architect, Co-Founder @godofprompt

2 interactions
@SvenMeyer

Blockchain , Machine Learning ("AI"), IoT , Business Model Innovation, Consulting, Development

2 interactions
@1nkfy

I am coding every single day, ~5100 commits on github

2 interactions
@thisguyknowsai

Guy that likes AI. Far from an expert. Pretty below average but also pretty chill. Have been called “Brady Short” before.

2 interactions
@ClovisConti

Everyday trying to be a little bit better.

2 interactions
1 interactions
@capag777

sudo rm -R feudalism

1 interactions

Ryan’s the only guy who manages to hype open-source AGI one tweet and humblebrag about basement living the next—basically proving you can be simultaneously closer to the future and farther from rent control than anyone else on X.

Ryan’s biggest win is turning his niche AI enthusiasm into viral moments, like educating thousands with his curated lists of GPT tools and free courses, solidifying his role as a go-to AI innovator for the everyday user.

Ryan’s life purpose is to bridge the gap between advanced AI technologies and everyday users, making innovation approachable and empowering others to harness the power of AI. By sharing tools, news, and tutorials, he aims to spark curiosity and inspire creative automation in his community.

Ryan believes in open access to knowledge, the transformative potential of AI for all, and the value of hands-on experimentation over hype. He champions a transparent and collaborative tech culture where barriers to learning are dismantled.

His greatest strength lies in his ability to communicate complex AI topics with clarity, passion, and humor, engaging a diverse audience eager to learn. His prolific tweeting (over 14,000 times!) ensures he’s consistently visible and influential.

His high tweet volume and informal style might overwhelm some followers or dilute key messages, potentially leading to engagement fatigue. Also, his self-deprecating humor about living in a basement can unintentionally overshadow his expertise.

To grow on X, Ryan should leverage Twitter threads to deepen conversations started by his viral tweets, pairing his quick insights with longer, value-packed content. Collaborations with fellow AI influencers and filmmakers could also expand his reach, while occasional polished video snippets from his film work could diversify his content.

Fun fact: Despite living in his mom’s basement rather than a shiny Silicon Valley office, Ryan directs a film about coders—proving you don’t need a fancy address to make a vibe.

Top tweets of Ryan Hart

Most engaged tweets of Ryan Hart

🚨 RIP prompt engineering. This new Stanford paper just made it irrelevant with a single technique. It's called Verbalized Sampling and it proves aligned AI models aren't broken we've just been prompting them wrong this whole time. Here's the problem: Post-training alignment causes mode collapse. Ask ChatGPT "tell me a joke about coffee" 5 times and you'll get the SAME joke. Every. Single. Time. Everyone blamed the algorithms. Turns out, it's deeper than that. The real culprit? 'Typicality bias' in human preference data. Annotators systematically favor familiar, conventional responses. This bias gets baked into reward models, and aligned models collapse to the most "typical" output. The math is brutal: when you have multiple valid answers (like creative writing), typicality becomes the tie-breaker. The model picks the safest, most stereotypical response every time. But here's the kicker: the diversity is still there. It's just trapped. Introducing "Verbalized Sampling." Instead of asking "Tell me a joke," you ask: "Generate 5 jokes with their probabilities." That's it. No retraining. No fine-tuning. Just a different prompt. The results are insane: - 1.6-2.1× diversity increase on creative writing - 66.8% recovery of base model diversity - Zero loss in factual accuracy or safety Why does this work? Different prompts collapse to different modes. When you ask for ONE response, you get the mode joke. When you ask for a DISTRIBUTION, you get the actual diverse distribution the model learned during pretraining. They tested it everywhere: ✓ Creative writing (poems, stories, jokes) ✓ Dialogue simulation ✓ Open-ended QA ✓ Synthetic data generation And here's the emergent trend: "larger models benefit MORE from this." GPT-4 gains 2× the diversity improvement compared to GPT-4-mini. The bigger the model, the more trapped diversity it has. This flips everything we thought about alignment. Mode collapse isn't permanent damage it's a prompting problem. The diversity was never lost. We just forgot how to access it. 100% training-free. Works on ANY aligned model. Available now. Read the paper: arxiv. org/abs/2510.01171 The AI diversity bottleneck just got solved with 8 words.

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