Akash Kotadia

Eng at Meta. Personal Opinions.

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Sundar Pichai @sundarpichai]

On our way to I/O 2026. See you at 10am PT tomorrow!

[Demis Hassabis @demishassabis]

Really cool work from the team reimagining the mouse pointer to be intelligent! Try the prototype in @GoogleAIStudio it's pretty magical.

[Today in History @TodayinHistory]

This may be the most articulate response I’ve ever heard to this question.

[Akash Kotadia @ackotadia]

Resonating!

https://t.co/q4dvJjRsyv

[Akash Kotadia @ackotadia]

@hkarthik acquition of atlassian ?

[Chandra R. Srikanth @chandrarsrikant]

"Mr. Patel’s assistant is the brother of Anthropic chief executive Dario Amodei’s chief of staff, who is in turn the fiancée of Leopold Aschenbrenner, Mr. Patel’s friend and former podcast guest from whose multibillion-dollar A.I.-focused investment fund, Situational Awareness, Mr. Patel sublets office space. Sholto Douglas, a researcher at Anthropic who is one of Mr. Patel’s roommates and a repeat guest on his podcast, recently competed with Mr. Patel in a “chestmaxxing” showdown on a YouTube show called “Swole as a Service” (where standing shoulder presses meet A.I. chitchat). “People don’t think of him as a commentator on A.I.,” says Sasha de Marigny, chief communications officer at Anthropic. “He’s very much in the community, in the inner ring.”

One of the reasons smart, rich, busy people like to appear on his podcast is that Mr. Patel goes sufficiently deep in the weeds to ask questions no one else would.

He’ll spend up to two weeks preparing for an interview, using flash cards to help master the material, writing elaborate question trees to anticipate the branching paths a conversation might take, and hiring tutors for topics such as economics, hardware and physics. He spends much of his time reading and thinking and talking to L.L.M.s.

Interesting piece 👇🏽

https://t.co/mkbFDCSGgl

[Liam Fedus @LiamFedus]

Industrial-scale science. Coming to a lab near you this summer.

[Akash Kotadia @ackotadia]

Good One!

https://t.co/Wh3sD9RtXH

[Paras Chopra @paraschopra]

The folk understanding of sales is that it requires making superlative promises that the product can’t fulfil.

However, if you spend time with great sales people, you understand that the skill is really about making it easy for the other party to appreciate the value they can get.

A badly sold product focuses on its features which requires the customer to decipher the hidden value prop, while a well sold product has its value prop is extremely obvious.

The focus on value is why great sales people care deeply about the customer, sometimes to the extent of recommending a competitor product when that’s a better fit.

(The product here can mean anything - from a piece of writing to software to a shampoo and even your CV)

[Akash Kotadia @ackotadia]

Dwarkesh! 🫡

[Akash Kotadia @ackotadia]

@nikunj Yes, Building from 95% reliable to 99.99% reliable does require deep understanding of systems to steer agent.

[Brad Gerstner @altcap]

Smart market driven approach. Delay Mythos, organize Project Glasswing to partner w leading companies to collectively harden internet security & use cyber as a blueprint for the industry coordination we will need to manage a world of post AGI models. 💪🇺🇸🚀

[Akash Kotadia @ackotadia]

@conorsen 🐘

[Akash Kotadia @ackotadia]

Dec : $9B. Jan : $13B. Feb: $19B. Mar: $30B run-rate.

🫡 Amazing! Unbelievable Acceleration of business.

[Akash Kotadia @ackotadia]

👊📈

[Anthropic @AnthropicAI]

Our run-rate revenue has surpassed $30 billion, up from $9 billion at the end of 2025, as demand for Claude continues to accelerate. This partnership gives us the compute to keep pace.

Read more: https://t.co/XgSjL0And7

[Boris Cherny @bcherny]

Mistakes happen. As a team, the important thing is to recognize it’s never an individuals’s fault — it’s the process, the culture, or the infra.

In this case, there was a manual deploy step that should have been better automated. Our team has made a few improvements to the automation for next time, a couple more on the way.

[AI at Meta @AIatMeta]

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.

Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.

Try the demo and learn more here: https://t.co/VkMd1YpQWI

[Akash Kotadia @ackotadia]

@petergyang Recursive Loops gives Exponential Curves!

[Akash Kotadia @ackotadia]

@claudeai Time to Go Max Plan! 🤗