Akash Kotadia

4.3K posts

Akash Kotadia

Akash Kotadia

@ackotadia

Eng at Meta. Personal Opinions.

San Francisco, CA Katılım Ağustos 2009
335 Takip Edilen363 Takipçiler
Akash Kotadia retweetledi
Today in History
Today in History@TodayinHistory·
This may be the most articulate response I’ve ever heard to this question.
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Karthik Hariharan
Karthik Hariharan@hkarthik·
If Anthropic or OpenAI want to scale agentic coding as their main revenue source, they need three solutions scaled for agentic use: 1. Source control 2. Knowledge base 3. Project management Integrating with established 3rd party solutions is a losing game. They will need to build or acquire a 1st party option.
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Chandra R. Srikanth
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 👇🏽 nytimes.com/2026/04/26/bus…
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Liam Fedus
Liam Fedus@LiamFedus·
Industrial-scale science. Coming to a lab near you this summer.
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Paras Chopra
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)
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Akash Kotadia
Akash Kotadia@ackotadia·
@nikunj Yes, Building from 95% reliable to 99.99% reliable does require deep understanding of systems to steer agent.
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Nikunj Kothari
Nikunj Kothari@nikunj·
Every time I see a tweet saying “I can vibe code this in a weekend” - I think of the slack notification system.. It takes time, persistence and effort to get the details right. Sure, a lot of simple workflows will get vibe coded away. And maybe you can put this in Claude Code and get the code right in one shot. But quality, depth and great systems will still have value and take time. You can’t vibe code lessons. Now and forever.
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Brad Gerstner
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. 💪🇺🇸🚀
Dario Amodei@DarioAmodei

I’m proud that so many of the world’s leading companies have joined us for Project Glasswing to confront the cyber threat posed by increasingly capable AI systems head-on. x.com/AnthropicAI/st…

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Akash Kotadia
Akash Kotadia@ackotadia·
Dec : $9B. Jan : $13B. Feb: $19B. Mar: $30B run-rate. 🫡 Amazing! Unbelievable Acceleration of business.
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Boris Cherny
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.
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AI at Meta
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: go.meta.me/tribe2
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Claude
Claude@claudeai·
You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.
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Felix Rieseberg
Felix Rieseberg@felixrieseberg·
Today, we’re releasing a feature that allows Claude to control your computer: Mouse, keyboard, and screen, giving it the ability to use any app. I believe this is especially useful if used with Dispatch, which allows you to remotely control Claude on your computer while you’re away.
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cat
cat@_catwu·
The PM playbook was built on an assumption that the technology underneath your product is roughly stable With the current pace of model progress, this is no longer true. Here's how we've evolved the PM role:
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