xavi

[Fei-Fei Li @drfeifei]

Scientific research is fundamental to advancing civilization and helping people globally to solve the most critical problems, from medicine to materials, from brain science to physics, and much beyond. This is only possible when scientists have access to the best tools of the time to conduct scientific research, including having access to AI-based tools.

[Opal @opalelectronics]

the table.
an update on opal electronics.

https://t.co/91eGxO5qV6

[xavi @xroma__]

@jordiebarstool You forgot to add sugar

[xavi @xroma__]

review tab:
- delimiter between files would help review
- stacking workflow support

files tab:
- make it an editor, have to switch between codex and ide too often bc of it

—

- long side chats crash and are almost unusable
- something is off in multi window state management, multiple windows at the same time unusable
- feature to have a note pad to dump thoughts
- feature to fork my thread into a new worktree

[Exa @ExaAILabs]

We raised $250M in Series C funding at a $2.2B valuation, led by a16z.

Exa is a search lab organizing the web's data for agents.

[xavi @xroma__]

@ExaAILabs this is huge, congraats!!

[Michael Fine @fine_whines]

Fun nugget from our research here -- using a better search backend during training leads to better performance at inference time not just on the one it was trained on, but also when you swap the backend for each agent.

[Exa @ExaAILabs]

How does Exa compare to Google for training LLMs to search?

In this blog post, we find that LLMs using Exa during reinforcement learning reach higher performance with 70% less training compute.

https://t.co/i1cAXcfLxE

[xavi @xroma__]

@thsottiaux - Mon: reset limits

[xavi @xroma__]

@yacineMTB can we buy

[xavi @xroma__]

@gabriel1 there’s something off putting of having a piece of plastic strapped to my face

[xavi @xroma__]

@thsottiaux Pr stacking

[Exa @ExaAILabs]

We're excited to partner with Google to offer Grounding With Exa inside of Gemini models!

Using Exa's agent-first search, Gemini models can now access billions of websites, technical docs, papers, people, companies, and more.

10^18🤝10^100

[Exa @ExaAILabs]

Exa now reduces input tokens for web agents by 96%.

We trained a text extraction "Highlights" model to dynamically select only the most relevant tokens from a webpage, for a given query. Only 500 tokens of highlights are needed to match the RAG performance of a full 10K token webpage.

We find Highlights to be particularly useful for frontier models like GPT 5.5, where content density enables longer horizon tasks by preventing context bloat. You can use it today by using the "highlights" content type in our API!

[xavi @xroma__]

@levelsio Southern Europe has come to believe they are at the end of history, and everything must remain unchanged

[Julien Chaumond @julien_c]

“gpt2-large is too powerful to be publicly released” vibes

[NASA @NASA]

Hello, Moon. It’s great to be back.

Here’s a taste of what the Artemis II astronauts photographed during their flight around the Moon. Check out more photos from the mission: https://t.co/rzM1P0QbOl

[xavi @xroma__]

@taiuti so you do believe in internal representations

[xavi @xroma__]

@0xSero 🙋‍♂️🙋‍♂️

[xavi @xroma__]

@RhysSullivan @vikhyatk This made my day