正在加载视频...

视频加载失败

Andrej Karpathy spent 4 minutes in an interview explaining a single idea about how most people haven’t even started learning how to use AI and everyone paying $20/month for a subscription.. that's not really using Claude at all his point is that the real skill gap is the ability...

3,208,362 次观看 • 4 个月前 •via X (Twitter)

40 条评论

rewind 的头像
rewind4 个月前

the full 2-hour interview:

MapMaker 的头像
MapMaker4 个月前

No… Users should not be expected to adapt themselves to AI first. AI should adapt to users. People pay $20/month because they want a helpful companion, assistant, or coding partner, not another system that makes them feel incompetent for not knowing the “correct” ritual. The real problem is that corporate expectations are colliding with human needs. If most people “don’t know how to use AI,” then the subscription should include the missing layer: education, onboarding, examples, tutorials, and guidance. Don’t sell people a powerful tool and then blame them for not being trained operators.

rewind 的头像
rewind4 个月前

Safe Home Powered by AI by Andrej Karpathy:

Mykola Kondratiuk 的头像
Mykola Kondratiuk4 个月前

ngl still finding new ways to use it and I've been at this for two years. the gap is real

rewind 的头像
rewind4 个月前

It's impossible to keep up with all of this

Mykola Kondratiuk 的头像
Mykola Kondratiuk4 个月前

ngl same. stopped keeping up - started filtering by does this change my work today. cuts the noise fast

RewindAGI 的头像
RewindAGI4 个月前

coding with ai is becoming its own discipline

rewind 的头像
rewind4 个月前

it's more than just a discipline...

HarriStack 的头像
HarriStack4 个月前

Karpathy just exposed the truth. most $20/month Claude users are still stuck in basic 'chat' mode. Real leverage is in those 21 rules with building systems. 65% → 94% accuracy jump is insane. Builders eating good right now

rewind 的头像
rewind4 个月前

you're right

Mollibygolli 的头像
Mollibygolli4 个月前

I already do this. I call it a CCD — a Context Continuity Document. It’s just a plain language file I drop into every new chat so Claude, GPT, Grok all know who I am, how I work, and what I’m working on. Once that’s in place, I don’t have to keep re-explaining myself and the output is immediately better. But that’s just the starting point. The real issue isn’t setup, it’s drift. AI doesn’t just hallucinate out of nowhere. It fills gaps, it leans into patterns, and it gets more confident as it goes. If you’re not managing that, you end up with answers that sound completely right and are still wrong. What I’ve been working on is how to control that. How to catch drift early, how to force uncertainty when it should be there, and how to stop trusting tone as a signal of accuracy. AI can do the heavy lifting, but it’s still an unpaid intern. If you don’t manage it, it will confidently give you the wrong answer.

Siyasa Jimmy 的头像
Siyasa Jimmy4 个月前

First time hearing him speak. Had to check to be sure I’m not listening on 2X.

Chrome 的头像
Chrome4 个月前

fax, many don’t use the full potential of claude

rewind 的头像
rewind4 个月前

$20 down the drain, hahaha

Francis Padula 的头像
Francis Padula4 个月前

What I think is undervalued is understanding exactly what capabilities you actually need to solve your specific problem. Not every $20/month user has the same use cases or complexity. It’s easy to over-engineer these systems into something unnecessarily complicated.

rewind 的头像
rewind4 个月前

Andrej Karpathy: From Vibe Coding to Agentic Engineering:

P Breit 🇺🇸 的头像
P Breit 🇺🇸4 个月前

Will this work in Gemini?

rewind 的头像
rewind4 个月前

i don't think so, but the idea of exploitation remains the same

MoMoMacro 的头像
MoMoMacro4 个月前

Karpathy needs you to think you're underusing it. Next sub tier won't sell itself.

Axel 的头像
Axel4 个月前

Когда вы перестанете говорить "ИИ"? Настолько тупые, чтобы понять что такое llm😒это языковая модель, не искусственный интеллект, а чаще всего там интелектом вообще не пахнет

Elyas 的头像
Elyas4 个月前

this is the orchestration argument in plain english. $20 chat usage is the floor. $100 max with hooks, skills, parallel sessions is where the leverage actually shows up.

Harry Tandy 的头像
Harry Tandy4 个月前

paying twenty bucks just to use it wrong

rewind 的头像
rewind4 个月前

a pointless contribution

XZ 星展 的头像
XZ 星展4 个月前

Andrej Karpathy highlights that most $20 AI subscribers fail to truly use it. His 21-rule config for Claude, born from fixing 4 bad behaviors, hit 82k GitHub stars and boosted coding accuracy from 65% to 94%. Most users still skip it.

Madhav Agarwal 的头像
Madhav Agarwal4 个月前

65% to 94% just from a config file is insane. Linking this before my team asks why their Claude setup feels broken.

StarShipX 的头像
StarShipX4 个月前

それはすごいですね!AIを使うこととAIを構築する能力には、確かに大きなスキルギャップがあると感じます。82,000スターと#1 GitHubトレンディングになるほど、開発者にとって重要なルールなのでしょうね。記事を読んでみたいです!

Nitin.nn 的头像
Nitin.nn4 个月前

fax, many don’t use the full potential of claude

Eduardo Bergel 的头像
Eduardo Bergel4 个月前

🎯 spot on. And these ideas can be extended to ALL areas were AI is relevant. Math, Music, Art, Law, Medicine.. He is describing how a Domain Expert interact with AI models, doing something idiosyncratic to his expertise. He is so much better than what the "average" implementation the model can do. the {AI+Expert} pair is the deal.

Steve Cox 的头像
Steve Cox4 个月前

I agree with the point Andrej is making where if you are not familiar with a computer language, the models help you out. An example. I am pretty good at C++, but coding in Unreal requires you to know all the support functions in Unreal so LLMs work in this situation.

Zach A 的头像
Zach A4 个月前

karpathy is right. the gap between prompt engineering and building agentic workflows is massive.

Manan Dodia 的头像
Manan Dodia4 个月前

Thoughts on the current Claude Mythos situation: For a long time, cybersecurity was considered one of the “safe” career paths. But with the release of Claude Mythos, even cybersec suddenly feels vulnerable. We seriously underestimated how fast AI is reshaping entire sectors.

Gabriele 的头像
Gabriele4 个月前

I think sames concept goes for normal writing too

VC Intern 的头像
VC Intern4 个月前

Most $20/month users treat models like fancy autocomplete. The 21-rule config turning 65% → 94% accuracy is less about prompting and more about building repeatable systems around the model. The gap isn’t access, it’s treating AI as infrastructure instead of a chat window

Strata 的头像
Strata4 个月前

@agihouse_org oh nice, been meaning to check that one

Michał Piszczek 的头像
Michał Piszczek4 个月前

82k stars and most teams still don't have a CLAUDE.md. the gap isn't information

Ankur Misra 的头像
Ankur Misra4 个月前

well he works there now so it will be patched as AI upgrades

Enterprise Software Architecture 的头像
Enterprise Software Architecture4 个月前

👀 A remarkable mind, tragically paired with a presentation style that refuses to cooperate. I observe, somewhat uncomfortably, that we are exquisitely trained to applaud polished absurdities while overlooking genuine insight.

JMoon 的头像
JMoon4 个月前

Claude Code daily with full tool access is a completely different product than in a tab. Karpathy's gap is mostly about whether you've ever let it run multi-step tasks unsupervised.

Glenn 的头像
Glenn4 个月前

Full, original, uncredited interview:

Liinad de Varge 的头像
Liinad de Varge4 个月前

It is an old interview.. things got very different now

相关视频

Microsoft spent $13 billion and 3 years building an AI that knows your work context. Every time you open it, it still asks what you're working on. This developer set up a plain text file in 2 minutes. The file is called CLAUDE.md. It loads before every session. Before he types a single word. It already knows his name. It already knows his writing style. It already knows what he's building, who it's for, and what he never wants to see in a response. He doesn't introduce himself anymore. He doesn't explain his preferences anymore. He doesn't correct the same mistakes twice. He just works. No $30/month Copilot subscription. No Microsoft 365. No IT approval. No data sharing agreement. No onboarding. Just a plain text file, a free text editor, and 21 instructions a developer distilled from Andrej Karpathy's research. Those 21 instructions moved Claude's coding accuracy from 65% to 94%. The file hit #1 on GitHub with 82,000 stars. Most people using Claude right now have never heard of it. Microsoft has 221,000 employees, $13 billion invested in OpenAI, and a direct integration into every Windows laptop sold on the planet.. they built an AI assistant most companies pay $30/user/month for that still doesn't know your name. This developer has a laptop, a text file and a 2-minute setup.. he built something that knows more about how he works than any enterprise AI on the market. The $50 billion AI personalization industry just got embarrassed by a .md file. full breakdown down below

Dep

14,179 次观看 • 5 个月前