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

USGC@usgraphics19h
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United StatesConnected via WebAccount-level information, not a live location or per-post device.
I cannot definitively prove this, but if you demand professionalism in its communication, it appears that its thinking process itself altered. The code it writes has a different quality of modularity/composability. We have a usgc-handbook plugin for internal use, I cannot describe the utter pleasure of working with Claude that speaks proper english and responds in a console style that's professional in true sense of the term.
I see a bunch of memes where the midwit gives a massive md file of instructions and the grug/elite just say "Fix it". I am not sure if this is a good idea. "Write a to-do list app" -> it's output isn't objective and falsifiable unless you are also accepting a wide range of outputs.
From talking to Claude why this may be true:
> Attention heads activate on register features (terseness, formality, vocabulary) and those features are correlated in pretraining with authorship traits — senior engineers, documentation, well-maintained repos. Conditioning on the register moves the model toward that region of the data manifold, and code quality is a property of that region.
I am not an expert at LLM in the slightest, but what I can say is that my observation aligns with it. YMMV.
The @usgraphics IBM engineer naming prompt, for everything. Software went to slop when they traded the pressed shirt and ties for hunchbacked hoodies and backpacks.
Simon retweeted
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.
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/
Simon retweeted
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
Simon retweeted
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 🧵
Simon retweeted
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?".
Simon retweeted
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…
Simon retweeted
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
Simon retweeted

Anthropic@AnthropicAIOct 22
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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…
Simon retweeted
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 ❤️
Simon retweeted
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
Simon retweeted
Five days to go. Toronto, the choice is yours.
If you want to change the city, you have to change the mayor.
Vote for change on October 26.
Simon retweeted
So excited 😆 😭
Replace ticket-taking with shared problem framing. @samjulien on collaborative product-engineering dialogue.
Simon retweeted
It’s our honor to host @luanalopeslara for an exclusive fireside chat on Nov. 2, alongside an industry panel on institutional adoption. We’re looking forward to bringing this conversation to Chicago!
Join us in Chicago on Nov 2 for an exclusive fireside chat with @luanalopeslara !
Plus, an industry panel exploring institutional adoption of prediction markets, featuring representatives from @Cboe, @zerohashx & @CFTC !
Presenting sponsor @Kalshi | Hosted by @FiftyOneAlpha
luma.com/tl6yoi3j
Simon retweeted
The Coverup Beneath the AI Hacking Scandals
Effective Altruist Hiring Scheme Caused and Covered Up AI Cybersecurity Problems 🧵
Simon retweeted
Where do you go next after reporting from the Strait of Hormuz? For the past three months, Citrini Research, an independent research firm, has been working with our team and an internal research model to see if they could use AI to create a new drug. What follows is an entertaining, candid, and humbling account of a group of motivated nonexperts (or “filthy casuals”, as Citrini would say) trying to tackle a real problem in human health with Claude.
We landed on scorpion neurotoxins, which kill over 3,000 people a year. Of the 211 designs we produced and tested, 17 met our criteria for a binder. None of the designs bound more than one toxin and none have been tested for neutralizing a toxin.
One of my favorite quotes from the piece is: “Our virtual biologist may have compressed a year's worth of work into a couple days, but biology works at the speed of life…Over two days, we watched Claude work through problems at a speed that was difficult to comprehend. For the next two months, we spent much of the time becoming familiar with laboratory turnaround times (This mostly involved sending memes in Slack).”
What is AI really capable of in bio?
To separate hype from reality, we spent 3 months working firsthand with @AnthropicAI's internal research model to see if it could create an experimental scorpion antivenom.
Introducing Citrini Therapeutics.
citriniresearch.com/p/citrin…






























