@ns alumn @superteamCAN member Founder https://xitter.cf/t.co/UtPNqifaT7 | https://xitter.cf/t.co/ap3lnQgXkm | https://xitter.cf/t.co/gq3LHhF8X6

Internet
Joined December 2011
The elites don’t want you to know you can get delicious, instant, $5 gnocchi at Bathurst and Bloor
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We are not ambitious enough
will write about how to be more ambitious with evals as models achieve super human level of intelligence stay tuned
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How about you open source it?
We've decided to sunset Arc on December 22, 2026. That's not an easy sentence to write. We spent years building Arc and celebrating each and every release along the way: we have so much pride and love for what we made alongside the Arc community. Our priority is to deliver best-in-class security for our members. Keeping a browser secure takes constant, dedicated work that is only increasing in the age of AI. Dia was built from the ground up to meet today’s security standards, so that's where our engineering and security teams will focus moving forward. We've worked to make switching to @diabrowser as easy as possible for Arc members. Here's how: · Your passwords, bookmarks, extensions and history come over to Dia seamlessly. · Spaces, Folders, and Tab Groups are in Dia and import over with your data intact. · Dia now surpasses Arc benchmarks in stability, speed, and security. · The browser features you use in Arc are free in Dia, and the AI is optional. Thank you for using Arc, for pushing us to make it better, and for building alongside us. The team that made Arc is the same team behind Dia, and some of our most ambitious work is just ahead. We'd love for you to be there with us when it lands.
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So glad to see someone else say this I am not that brave 😂
project hail mary is probably fine idk i haven’t seen/read it, but i read the author’s debut novel and it made me homicidally angry
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Simon retweeted
"We should be more ambitious with the software we build" This is a must-read post from @danluu for optimists looking to take advantage of this moment of AI innovation in software engineering TLDR: Software isn’t “solved.”. Better models just move us to more challenging work. What models can build vs what they can verify on their own will continue to grow. danluu.com/ambitious/
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who is funding this
we absolutely should in fact genetically engineer bioluminescent plants & trees and then completely eradicate the affront to God that is LED street lights from the face of the Earth
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Thank you for a great event @nextpredictio 🔥🙌 @PredictToronto had a good time 🇨🇦🫡
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the opportunity cost of not working on maximally fun and exciting things is too huge having fun is like a 10x multiplier on your creativity, intelligence, charisma and just overall lifeforce so everytime you are not engaging in maximal fun you are missing out on that upside and 0.1x’ing your life discipline and routine only gets you so far, it only ever helps you sustain your baseline or maybe a slight boost so 1.0-1.2x your lifeforce so there’s no time to waste, go and do the fun thing and 10x your lifeforce
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LLMs have a score doubling time of 53.9 days on a robotics benchmark between July and October 2026, while speed increased by 4.4x and cost fell by 6.2x. More results in our new paper: The Bitter Lesson Comes to Robotics 🧵
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Biggest opportunity now as a software engineer is clear: master parallelism → outsize scale of output. Value creation in software has always come from leverage: small input, outsized output. Parallelism-maxxing is not extremely quantifiable because it's so new. The spectrum runs between people managing a couple of agents on their local machine to those running an infinite number of agents + computers at a time than can be spun up and down on demand. You want to be at the far end of this spectrum, and you should be ROI-maxxing every token spent. If you can do this and prove it, you will have an infinite number of opportunities available. If you're still trying to do this locally you are at an objective disadvantage, equivalent of hosting a startup on a server in your closet vs using AWS. And if you're spending your time building and maintaining infrastructure that gives you no competitive edge, the AWS analogy applies in the question "why are you wasting your time doing undifferentiated heavy lifting instead of building unique customer-facing features?".
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Finance. SHe’s describing finance.
the perfect job - earns enough to sustain life - defensible before god - can be easily explained to a child
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BREAKING: github is currently experiencing unplanned uptime
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The HL Radio Singapore recordings are now live. At the @HyperliquidX Community Event on October 5, we sat down with @chameleon_jeff and builders and contributors from across the Hyperliquid ecosystem. All 13 sessions available here: youtube.com/playlist?list=PL…
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I can actually see AI driven code as an industry requirement moving forward along with some formalized verification process. The machines won
We’re about to learn that most code written over the last 20 years was complete slop and most software developers were never that good
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We’re about to learn that most code written over the last 20 years was complete slop and most software developers were never that good
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New on our Frontier Red Team blog: using Claude to formally verify software at large scale. Formal verification can prove that code is free of certain bugs, but historically it has only been feasible for small codebases (or required a lot of expert time). With AI models, however, this is beginning to change. In collaboration with @theoremlabs, we used Claude to prove security properties in over one hundred real-world open-source libraries over the span of a few weeks. Read our research in full here: anthropic.com/research/forma…
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who’s hiring? not asking for a friend. DMs are open. if you know me or we’ve worked together, a RT would mean a lot ❤️
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hi everyone! excited to finally share what we've been building at sprout our team of ex-fb engineers and a PM (founders’ median tenure: 6 years) banded together to save your kids from brainrot, and give parents their time back.
We just launched ParentBench, a live board testing whether AI can do the school-app errands parents do every day. Muse is way ahead: Muse Power can save parents 56 minutes every week. Help us map your kid's apps: sproutgoodhabits.com/map View article
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The first rule of cybersecurity is to have fun and be yourself
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I love nyc man
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