building 👾 https://xitter.cf/t.co/fuKpzUIJ8E | cooking @israelgov

Joined May 2019
Vercel just did to agents what Next.js did to the web. They released eve: an open-source framework where an agent is just a directory of files. agent.ts → the model it runs on instructions.md → who it is tools/ → what it can do skills/ → what it knows subagents/ → who it delegates to channels/ → where it lives schedules/ → when it acts on its own
We launched a free Vercel Academy course on building @eve agents. Learn how to ship a durable agent to production: set up a project, call tools, add a human-in-the-loop, and deliver the agent through @SlackHQ. vercel.com/academy/building-…
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Vercel just did to agents what Next.js did to the web. They released eve: an open-source framework where an agent is just a directory of files. It handles the model it runs, who is it, what it can do, what it knows, who it delegates to, where it lives, and when it acts in its own.
We launched a free Vercel Academy course on building @eve agents. Learn how to ship a durable agent to production: set up a project, call tools, add a human-in-the-loop, and deliver the agent through @SlackHQ. vercel.com/academy/building-…
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Clarity isn't doing more. It's removing everything that isn't the one thing that matters.
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Genuine question: if coding got so easy and everyone is a genius now why is everyone building useless apps instead of trading algorithms that would actually make them fortune? Maybe, just maybe, the hard part of software was and still is thinking.
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Half my feed: SaaS is dead, software stocks crashing, etc. Other half: Spinning up AI agents in parallel to build apps non-stop. But wait… if software is buried who's going to use or pay for this endless stream of new apps everyone's racing to build? 2026 is wild.
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We are going to have some fun with this 1M token context
Introducing Claude Opus 4.6. Our smartest model got an upgrade. Opus 4.6 plans more carefully, sustains agentic tasks for longer, operates reliably in massive codebases, and catches its own mistakes. It’s also our first Opus-class model with 1M token context in beta.
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Seems interesting to check. Safe zone for multiple agents at once? Who tried it already?
We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks. openai.com/codex
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The last few weeks in AI
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While we argue anthropic ethics
🚨: Google’s quantum chip solved in five minutes a problem that would take 10 septillion years. Physicists say it “proved” we live in a multiverse!
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This insane!
Larry and Sergey can’t stay in California since the wealth tax as written would confiscate 50% of their Alphabet shares. Each own ~3% of Alphabet's stock, worth about $120 billion each at today's ~$4 trillion market cap. But because their shares have 10x voting power, the SEIU-UHW California billionaire tax would treat them as owning 30% of Alphabet (3% × 10 = 30%). That means each founder's taxable wealth would be $1.2 trillion. A 5% wealth tax on $1.2 trillion = $60 billion tax bill, each. That's 50% of their actual Alphabet holdings—wiped out by a "5%" tax. Section 50303(c)(3)(C) of the 2026 Billionaire Tax Act states: "For any interests that confer voting or other direct control rights, the percentage of the business entity owned by the taxpayer shall be presumed to be not less than the taxpayer's percentage of the overall voting or other direct control rights." This means if a founder holds shares representing only 3% of economic interest but 30% of voting control (through Class B supervoting shares), the tax would presume their ownership stake is at least 30% for valuation purposes, not 3%. The wealth tax is poorly defined and designed to drive tech innovation out of California.
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What if the future of AI it’s not even AGI but specific super intelligent AI by domain?
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AI is an amplifier, not a savior: > Low performers + AI = Faster technical debt. > High performers + AI = 10x output. Calculators didn't turn us all into mathematicians. The hard part was never the syntax it was knowing what to solve. The illusion of competence is dangerous.
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In early stage products, founders will go out to look for more traffic to get more users, but the right thing to do is to focus on turning the early adopters into promoters.
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At every stage, 5% of the tasks deserve 95% of the focus.
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Fail enough and you’ll find success. If it’s not hard, it’s not worthwhile as above, so below.
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Still haven't hit a single rate limit on Antigravity using primarily Opus 4.5. Just me?
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With agents that execute instantly, the real work shifts upstream: shaping clarity of intent matters much more. It’s about deciding what’s worth making, why and adding the right context. Great read.
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