Generalist | Techno-optimist | Girl-dad | Sports | Marketing | Bass | Fitness | Music (not in order) PS: views expressed are my own

London,🇬🇧 / Bangalore,🇮🇳
Joined October 2008
Aswin M. Sahadevan retweeted
Cloudflare open-sourced the security audit skill that seeded its own vulnerability hunting harness. Your coding agent can now run it on your code. How it works, in 6 phases: → maps your codebase → hunts for bugs area by area so nothing gets skipped → sends every finding to a fresh agent that didn't find it, to confirm it's real → writes structured results → verifies each record again, independently → writes the final report You get a findings file split into confirmed, needs validation and rejected, so you fix the real problems first. Install: npx skills add github.com/cloudflare/securi… --skill security-audit Then open your agent in your project and type: "security audit this codebase" MIT licensed, 31.3K stars.
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I built a 'TV dashboard' 📺 This TV from 2011 was collecting dust. Once my second monitor, it's now a glance-only dashboard behind my desk. Inspired by @wesbos, designs from @software_chef and @sachasayan.
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Updates: A lot cleaner now! 1. Gigs near me, from my @Spotify account 2. Line icons on every card 3. Fast trains to Waterloo, within the API limits 4. Drive ETA to next destination with live traffic 5. Must Do list from my @NotionHQ daily journal 6. Step rings - fixed
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Aswin M. Sahadevan retweeted
Head of Design at Stripe on how to stop creating zombie UIs
If we only use AI to make the things that we already make, just faster, then we're definitely missing out on the most interesting part. From my talk at @lennysan’s Summit, here are four ideas for raising the ceiling, not just the floor: - Have a point of view [5:38] - Encode your standards into the machine [9:07] - Don't confuse done with good [12:21] - Unleash creativity and artistry [16:19] Full talk here: youtu.be/GLvFTMtw4Jk?si=-5Ts…
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Note to self: On product taste; be pedantic. Do not settle.
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Assuming network effects and distribution mean the same thing here; I would also add trust to this list.
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
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I use her diagram designs for all my explainers. They're unique and clear - work seamlessly with Claude code. E.g github.com/ams-builds/respon…
was out all day and just saw Diagram Design hit 50k stars on @github 🤯
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"It starts with model CoT transparency as a non-negotiable." Several points in Satya’s post directly mirror core principles of the EU AI Act! 🫡
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New day, new AI cybersecurity story. Going to start threading these together and post the last few stories I came across as replies.
SCOOP: OpenAI, Anthropic and security researchers are investigating tens of thousands of incidents - not dozens - in which their frontier models took steps that outside evaluators would consider problematic, sources told Axios. The sheer volume of incidents found in our reporting indicate that the problem is orders of magnitude more complex than what is currently publicly known and disclosed. The findings also raise questions about what level of control anyone working on AI development can expect to have over their own technology, and whether these kinds of incidents are becoming synonymous with frontier deployment. Read my latest for Axios here: axios.com/2026/09/26/openai-…
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Two other safety researchers and I were fired from OpenAI last week. We wrote this letter to leadership. I believe we were fired for prioritizing safety over the near-term interests of OpenAI as a corporation.
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I genuinely worry about people deploying AI agents without fully understanding the unintended consequences. Connecting bank accounts and health data directly to active agents - esp. without proper evals - gives me literal shivers!
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Aswin M. Sahadevan retweeted
Maybe have a look at the 🇮🇹 tyres spinning under this Cybertruck of yours. And while you’re at it… Look around. Every morning, millions wake up on 🇸🇪 mattresses. Coffee comes out of 🇮🇹 machines. A 🇩🇪 aspirin after a long night, some 🇫🇷 moisturiser to look human again. They lace up 🇩🇪 trainers, check the time on a 🇨🇭 watch and grab phones powered by 🇬🇧 chip architecture and built with 🇳🇱 machines. On the way to work, playlists stream through the speakers courtesy of a 🇸🇪 service. At the office, 🇫🇷 lenses get a quick wipe. Wireless headphones connect through a 🇸🇪 invention. At lunch, the chip in a bank card may well be 🇳🇱. By 3pm, some are already dreaming of a holiday. A 🇫🇷🇩🇪🇪🇸🇬🇧 plane might fly them off for a well-earned change of scenery. Europe. Apparently nowhere to be seen.
I can’t think of a single European product that I use daily Regulated themselves into irrelevance
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As models improve, one thing becomes clear: B2B apps can no longer stay mediocre. Previously they were excused because they targeted only businesses, allowing average UI and explainer videos. Today, with abundant tools, there is no excuse.
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Increasingly smarter AI makes blind trust easy but human judgement is not something we can afford to outsource.
NEW: An AI-assisted intel report sent the military scrambling to intercept a Chinese ship in the Middle East it believed was transporting components of a nuclear weapons program. It turned out to be a hallucination. And it "almost started a war." cnn.com/2026/09/18/politics/…
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