engineering @ render, prev @ replit

San Diego
Joined June 2013
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im tired guys
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The Not Exactly Sure What We're Doing Here Company of New York
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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This quoted post is unavailable.
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please let me merge
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how it feels to submit a PR for the infra team to review
how it feels being the only react programmer in a platform engineering meeting
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Replying to @barrkel @samuelclay
I think we're talking past each other. I'm not talking about capitalism or markets or an abstract Pandora. I'm saying: you, as an individual, have the luxury (I assume, as a SWE)—and the obligation—to choose what you believe it is Good to work on and what not.
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Talor retweeted
I will not, under any circumstances, be installing muse
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are we so back?
Replying to @claudeai
Opus 5.5 communicates more naturally, addressing some of the most common feedback we heard on Opus 5. It puts the most important information up front and follows the writing rules you give it, which makes long sessions easier to follow.
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yes YES
Incredible photos of the San Francisco mountain lion — now tranquilized and removed — by @manuelorbegozo Story by @aidinvaziri and @stjbs sfchronicle.com/bayarea/arti…
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this is truly one of the movies of all time. find a way to watch it. it's a treat.
The 2-disc blu ray includes 3 commentary choices - sober, drunk, and wasted - that can be turned on at any moment under the movie OR the VFX breakdown. (Sign up at hundredsofbeavers.com to receive a code next week for $15 off the newest slipcover. You’ll get your code September 23 at launch. )
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incredibly funny that the subagent being told this completely ignores the instruction and doesn't do anything different
An unreleased Astra-family model added this to its persona during RL training.
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Landed in Burbank 🇺🇸 Airport and it’s so good! In 5 minuts from landing I was inside the Uber, when I landed in Los Angeles, LAX, it took 3 Buses just to get to Uber pick up zone. If you ever need to fly to Los Angeles I highly recommend this airport.
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Any indication on if this is good for environment-operating agents (in the classical RL meaning)? seems that you could get LLM intelligence applied to discrete actions (chess moves, or whatever)
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Jev VS Fable 5.1 VS GPT-6 Astra: chess typesafe's new Jev V13 isn't an LLM. it doesn't chat, doesn't explain, doesn't write code — it only makes decisions. so we made it play blitz against frontier LLMs. the test: 5+0 blitz. every move is one API call. Jev V13 vs Fable 5.1: • fable outplayed it. by move 29 it was +16 in material and even promoted a second queen • but it kept burning 6-15 seconds per move on analysis. jev answered in ~2.6s • so fable didn't have enough time and lost Jev V13 vs Astra: • astra didn't bother winning on material. it mated jev in 18 moves. Qe1#, with 2:27 to spare
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side project I've been working on lately: I wrote a game engine! it might be the smallest magic: the gathering engine at ~10k lines of engine code, supporting 5k cards and most common behavior.
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