I might be wrong, but I have a feeling that Google might use its search engine to train Gemini long context somehow. One idea is that they might train it to reproduce Google ranking by giving unranked search results as input and training it to reproduce the same documents in the

The MCP hackathon at Y Combinator was so much fun. 80 submissions with a high quality baseline. Some that stood out: ○ An MCP to make cancer researchers more efficient at using ChimeraX for molecular visualization ○ Observee, an observability platform for MCP calls, with

I have a feeling that OpenAI is gradually building long-term memory in ChatGPT by observing implicit user corrections. Like when users rephrase a question or clarify their intent after an unsatisfying answer that pattern might be a proxy signal. At scale, this could train

I wonder if some LLMs are implicitly trained to ignore hallucinations — not by telling them what’s wrong, but by feeding back human-corrected answers over time. Think of it as a soft-filtered dataset, where only the answers humans didn't fix are considered “truthful.” It’s not

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So, if machine-paraphrased text isn't a copyright violation (as our cool visionaries claim), is a machine-rewrite of the Linux kernel a copyright violation?

The next evolution of ML education might not come from books or courses but from the models themselves. Imagine prompting an LLM with thousands of beginner questions… Then training it to become the teacher you wish you had. BURKOV Andrew Ng curious if you see this as a

A good manager doesn't let jobs stick to them. They effectively dispatch problems from an asker to a doer. So, a good manager must know who can do what in the organization and dispatch all incoming demands to the most relevant doer. This profession can be replaced with an

Do you also feel flattered when the language model tells you that you've raised an excellent and subtle point?

We have AI that writes code, APIs that think, and frameworks that scaffold full apps. But most users still just want: – a fast login – a clear UI – and a product that doesn’t break on mobile. Tech evolves fast. Expectations don’t.

This is so cool 😎 Make your espresso on the road while your Tesla drives itself 🤌

In my (quite extensive) experience with LM-assisted coding, if a model can't patch your code after 3 back-and-forths, you should try a different model. I have this list: Sonnet 3.7 -> Gemini 2.5 Pro -> o3. If implementing and testing the patch is very fast, I can also try

The fact that kids and teenagers ask chatbots for advice before making life decisions is an awesome feature that LLMs provide. Not everyone is lucky enough to have wise and supportive parents or mentors. Having an imperfect machine advisor is better than not having any at all.

i think we should stop arguing about what year AGI will arrive and start arguing about what year the first self-replicating spaceship will take off

We need an omnipresent, high-reasoning AI that can bring us “Jamie, pull that up” capabilities into every conversation

Yes

No days off. 💻💪 June & July have been all about building, testing, and improving — and the commit graph says it all. We’re not slowing down anytime soon. 🚀

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