Supriyo (@next_roy) header
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Founder @atriumart | Making @realmeetquack @nounsmovie ⌐◨-◨ | Views expressed are my own.

Joined February 2012
Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)Photo by Supriyo (@next_roy)
Supriyo retweeted
If you make an NFT of a real Pokémon card, and the slab itself gets destroyed in a fire tomorrow, you still have the same asset Because the token still exists and is in limited supply just as before. Nothing has changed What NFT is doing to the concept of asset, few understand
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Happy Halloween 🎃👻
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Happy Halloween friends! Here's some new wallpapers for the spooky season! 👻🎃
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Hey LA! Are you ready!? 🐥🐥 MeetQuack is returning to LA Comic Con from Friday, Oct 30 to Sunday, Nov 1 at the LA Convention Center! We can’t wait to meet you there 🫶 Stay tuned soon for Mascot Meet & Greet times- and more! 🎉
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Come find us in the South Hall at Booth 1619, all LA Comic Con 2026! @comicconla 🐥🐥 Plus, stop by anytime listed above for a free Quack and Lola Mascot Meet & Greet! 🤝 ✨1201 S Figueroa St, Los Angeles, CA 90015 ✨ Full convention hours vary by day! Remember to secure your tickets at comicconla.com— we can’t wait to see you there, LA! 💕
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Supriyo retweeted
every product i use should just be a headless mcp, that feeds into an agent, where i never have to think about anything underneath. except for our product, of course. in our product, customers love the ui and love us very much. we're special that way.
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Supriyo retweeted
The buyers aren’t serious and the sellers aren’t real. Welcome to compute brokering.
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New release! Tables and Auto-Suggested Memories are two of the most used new features for us internally. Tables let you record structured data and share it with other user's agents. Particularly useful if you're trying to quickly index data on the internet, or in a massive pile of internal data. Built in the Quest-way of course, with strict controls around when agents can read/write, so data confidentiality and privacy is maintained. Suggested memories are standard across harnesses but we tried to combine the best from the various versions we saw. Project level memories in a web-based harness are particularly interesting because the work naturally follows you around on whatever task you're working on. We've also added a quick setup mode where on the first screen after install you can paste in an API key from any of the providers we support (including now openai/antrhopic/etc. directly) and be on your way.
0.4.0 released! Highlights: - Quest Tables: a native artifact type for storing structured tabular data. - Memory suggestions: Automatically suggested memories at the user and project level. - Many more model providers and quick setup. github.com/electric-capital/…
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There is so much comp peacocking on here. So echoing Sean’s point. Your $250k+ job is very rare. Be grateful.
with lots of tech layoffs happening, its a good reminder: $250,000 a year jobs are actually really fucking rare. if you have one, you are in the top 1% of earners IN THE ENTIRE WORLD hold on tight
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Supriyo retweeted
Initia chain hacked and a bunch of tokens infiniminted. Hacker has cashed out $2.6m thus far with more in flight
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Quest Diagnostics has been hacked. Patient data was exposed. They serve roughly half of U.S. hospitals and physicians. Investigation ongoing.
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The GRU hacked into Jared Kushner's iPhone. Dutch military intelligence (MIVD) then recruited a GRU spy who gave them access to the hacked phone. What MIVD discovered was that Kushner had access to two bank accounts --one Azerbaijani, the other Israeli --where Saudi Crown Prince Mohammed bin Salman and Emirati ruler Mohammed bin Zayed deposited money. It sounds like a slightly far-fetched episode of "Slow Horses," but it's real. And it proves just how eye-poppingly corrupt this administration was and continues to be as its "special envoy" decides the fate of tens of millions in Europe in the Middle East. Simply incredible reporting by Matthew Cole, drawn from his new book on Kushner. vanityfair.com/story/jared-k…
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Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
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Um, Companies are, in fact, vibe coding vendors out of existence. Things are gonna get spicy
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Witkoff called Putin a humanitarian today. Here is some of his humanitarian work:
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Supriyo retweeted
Well that was a fucking lie
I often go back to these photos of American delegations observing the destruction of bombers and missile silos in Ukraine.
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Coding agents are running into a bottleneck that human data companies know too well: you can scale production faster than expert review. The recent points from @poteto and @addyosmani made this parallel click for me. If you’re building professional environment tasks in fields such as finance / radiology / different languages etc, expert hours are scarce. data companies scale by adding layers of human review, but eventually the reviewers become the bottleneck. The same thing happens when every agent-generated code change needs line-by-line review from a senior tech lead on the team. You have to invest in making the work runnable and verifiable: programmatic checks, LLM judges, agents reviewing each other’s work, end-to-end verification loops, infra that allows u to run the same agent under various condition permutations. All of this is to allow you to get maximum leverage on human expertise! Humans still set the bar and check whether those verifiers are getting it right. Coding and data production seem headed toward the same kind of agentic factory. The Michelin kitchen analogy fits, just need to make sure that each dish does not need a human taste tester.
Give your agent a way to verify its work. This can dramatically improve the quality of output. With this process in place, Claude Code was able to write 90%+ of its code itself. When generating software at a faster rate than you can review it, the bottleneck shifts to proving that it works. @bcherny and team invested enough in verification, we've been able to move fast while maintaining stability. Code reviews aren't going away, but you need to think of it differently. One human reading through line-by-line is no longer going to work as a gate, it needs to evolve into a multi-layered verification system, built with fast deterministic feedback loops for your agents. This is where e2e tests, feature maps (as @poteto has been advocating), property tests and multi-agent adversarial reviews come in. These all provide opportunities to catch errors early and fix them before things get out of hand. You don't have enough eyeballs for the amount of code being written so your focus needs to be on product intent, risk assessment and evaluating evidence rather than reviewing code. Delegate the code checking work to your automated tests, scale your approvals based on risk, and turn your test failures into living evaluations. This approach helps maintain speed without losing reliability. Let the agents do what they do best and let you focus on what makes you irreplaceable: judgement, direction, and ownership. We tried to capture how we handle code review and verification in this writeup. Hopefully it's helpful.
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if a corporate tried to bribe the public into underwriting its IPO (+ absurd insider windfalls that come with it), this'd be pretty much what you'd expect to see? I have a better idea: you'll give the shares directly to the public and we add 3-year lockups for insiders on top
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. anthropic.com/news/public-be…
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