AndreiRadulescu-Banu

AI. Robotics. Math.

[Rohit @heyrohitai]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and Bookmark it now.

[AndreiRadulescu-Banu @bitdribble]

Rachel Kuznetsov interviewed me on KDNuggets - about AI, and about how to be an entrepreneur

[KDnuggets @kdnuggets]

Through the lens of a serial entrepreneur, this article explores how the AI revolution is shifting from infrastructure to the application layer, where the greatest opportunities lie in solving specialized, data-heavy in... https://t.co/pL900qwNoP

[Min Choi @minchoi]

This is insane.

Meet Blender MCP, Claude AI can now talk directly to Blender.

Instantly turn any prompt or 2D image into stunning 3D scenes.

Creativity unlocked.👇

[AndreiRadulescu-Banu @bitdribble]

@DAcemogluMIT Any movement, progressive, conservative - cannot be self restrained. They can only restrain each other.

Daron's #3 can only come from a push outside of liberalism. And #2 is already in place.

This can't be solved by planning, but by the 'invisible hand'.

[Aman Sanger @amanrsanger]

Really enjoyed this conversation!

would recommend taking a listen

[AGI House @agihouse_org]

Come join us at MIT this Saturday:

https://t.co/4VXy7mWsvm

[Liam Fedus @LiamFedus]

Happy to release a couple of our reasoning models today (🍓)! At @OpenAI , these new models are becoming a larger contributor to the development of future models. For many of our researchers and engineers, these have replaced a large part of their ChatGPT usage.

https://t.co/TalK9SpgEM

Instead of blurting out an answer right away, ChatGPT can now think through it first. The best analog is that ChatGPT is evolving from using only System-1 thinking (fast, automatic, intuitive, error-prone) to System-2 thinking (slow, deliberate, conscious, reliable). The allows it to solve things it couldn’t before.

From a user experience in ChatGPT today, this is a small step forward. On easy prompts, a user likely won’t notice much of a difference (but you will if you have some gnarly math or coding problems 🙂). But this is an important sign of what’s to come.

[OpenAI @OpenAI]

Some favorite posts about OpenAI o1, as selected by researchers who worked on the model 🧵

[AndreiRadulescu-Banu @bitdribble]

@hunterlightman Good job guys. Wish I was a fly on the wall.

[swyx @swyx]

we crossed 1m downloads* of @latentspacepod!

celebratory recapisode with @fanahova + special @chatgptapp voice mode demo with @ethansutin!

*not even counting spotify which rehosts the file so we dont get stats but estimate 200k

[AndreiRadulescu-Banu @bitdribble]

https://t.co/yxgNAUU00g Bengio interviewed by string theorist Brian Greene:
- Dangers of AI
- Mechanisms for safety
- Could LLMs do science? Yes, in the future, it could, if it searched an answer space. AlphaGo does that.
- Mechanistic theory of consciousness

[AndreiRadulescu-Banu @bitdribble]

- Not clear (my interpretation) if economics makes sense yet for mass deployment
- Sora should be seen (the makers say) as GPT1 for video generation
- With expectation of a Sora2,3,4 to follow, if scaling infrastructure can be sorted out

[AndreiRadulescu-Banu @bitdribble]

https://t.co/tnRg682LxA

@NoPriorsPod interview with the makers of Sora, the OpenAI model for video generation. Takeaways:
- Scale matters.
- No word on how training or inference GPU scale compares to LLMs
- But, internally, OpenAI has estimated scaling laws

[AndreiRadulescu-Banu @bitdribble]

- E.g. when painting brush touches canvas, it leaves paint mark
- At current state, Sora does not have 'artistic' optimizations, over just natural training for image generation
- Style, in other words, is emergent, not built in
- Model still expensive to run

[Reid Hoffman @reidhoffman]

Why did I deepfake myself? To see if conversing with an AI-generated version of myself can lead to self-reflection, new insights into my thought patterns, and deep truths.

[AndreiRadulescu-Banu @bitdribble]

https://t.co/9UVJd4WDDc CEO at the MIT IIA Conference https://t.co/vIKtezwG0J

[AndreiRadulescu-Banu @bitdribble]

ODSC Boston - What I Learned https://t.co/pi28oYsYRp

[Nat Friedman @natfriedman]

Some observations/questions:

- Did you know that Gemini traffic is already ~25% of ChatGPT? And Google isn't pushing it through their massive distribution channels yet (Android, Google, GSuite, etc).

- Big on X, but Claude usage is still very low. Should Anthropic advertise?

- ChatGPT is still the big brand, but usage relatively flat over the last year. Why isn't it growing? Is OpenAI compute limited or demand-limited?

[OpenAI Developers @OpenAIDevs]

GPT-4 Turbo with Vision is now generally available in the API. Vision requests can now also use JSON mode and function calling.
https://t.co/cbvJjij3uL

Below are some great ways developers are building with vision. Drop yours in a reply 🧵