into bits and atoms

R'lyeh
Joined October 2011
I wrote about passkeys for smart accounts, the main point is that they're great for signing UX, but bad for long-term account recovery use them to sign day-to-day, pair them with a recovery method yssf.io/post/passkeys-for-sm…
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unrelated to the point but fun fact excel is older than python and was launched on macintosh first, before windows existed
ryan is right, lovable is a huge scam just like excel, you can just write a python script with chatgpt that uses pandas every time you need to add two columns #StopTheScams
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pivoting to brain-based computing
🇹🇼 1 in every 46 newborns in Taiwan is born to a TSMC employee.
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going to st pancras today, we'll see if it can take me there from waterloo
London, your ride has arrived. 🇬🇧 Today, Wayve and @Uber launch supervised autonomous rides across all of London (except airports) - the first time the public can experience the Wayve AI Driver and the first autonomous trips available in the UK. Taking your first ride? Tag us and we’ll send a little thank-you for becoming part of our history. 👋 #RideWithWayve wayve.ai/press/wayve-uber-la…
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i've been playing with headlong, it's a fun experiment, it has some altered carbon AI vibes to it, where the agent sort of just decides for itself, but is bound to an environment i added opencode as a provider if you wanna leave deepseek flash running
Introducing Headlong, an open source microharness for persistent agents: self-guided agents that think continuously. Most agent harnesses are reactive: you send a task, the agent completes it, and then it sits frozen until the next request. Cron jobs and heartbeats wake it up to run a checklist and put it back to sleep. A Headlong agent is never asleep. It keeps generating thoughts about whatever it decides is interesting, in a self-guided loop inspired by human inner monologue. Your message doesn't start a session. It's one more observation that lands in the agent's thought stream, and the agent decides if and when to reply. Headlong is built on the idea of persistent agency: continuous inner thought generation between external interactions. The agent sets its own interests and priorities, comes up with its own projects, and sometimes pings you unprompted with progress. To keep our prototype as simple and small as possible, we implemented Headlong as a microharness: a complete agent harness in under 10K lines of Bash, organized as a handful of small executables. It includes a loop that generates the next thought, shellm (a recursive language model written in Bash), a trajectory stored as a DAG of jsonl files, and context as a projection of that trajectory. We've been running one Headlong agent internally at Laude for several weeks. The whole team talks to it over Slack and Telegram, and every conversation lands in its single stream of thought. It works in its own fork of Headlong and we've pulled over 50 of its commits into main. One night, with nobody talking to it, it went back to check whether a recall process it had built was actually wired into its mind, found that it wasn't, diagnosed and fixed the bug, and verified the fix end to end. 48 minutes, no human asked for the fix or was in the loop at any point. Every step is a timestamped line in its log. Things broke too, and we wrote those up. Background thinking costs us $1 to $2 an hour, our agent stopped its own service three times by accident, and self-delegation died on day one. Details in the post. One line installs everything and starts an agent. Use a dedicated sandbox and spend-capped API key; it runs real shell commands and thinks around the clock. Headlong is research software, be careful! curl -fsSL headlong.ai/install.sh | bash Launch post: laude.org/updates/headlong-a… Repo: github.com/laude-institute/h… Headlong is a @LaudeInstitute / MIT collaboration.
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only thing making me think ox alpha could be gemini is that it struggles so much with tool calling
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with zero-knowledge cryptography, like @selfxyz
Replying to @alexisohanian
Theoretically, is there a way to keep a section of the internet where there is only 100% human interaction?
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?? @fchollet is this valid?
Our general-purpose coding agent just scored 100% on the ARC-AGI-3 interactive reasoning benchmark. NVIDIA AVO completed all 183 levels across all 25 public environments, figuring out what to do with no instructions, explicit rules, or stated goals.
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nvm it looks like the harness is not valid but nice experiment showing how good harnesses can make models a lot better
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hackmd codimd for self-hosting
google docs but for markdown... who’s working on this...
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nothing will humble you faster than going back to leetcode after using coding agents
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github and the costa coffee machine down 😔
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since using coding agents i haven't used a single javascript framework, all plain html/css/js served by a python or bun server full circle
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so apple can just build iharness running on a local chinese tool-calling model and win consumer AI while being the most private option
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generational run from jeff dean, I hope they make it
Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor. ♾ Learn more at: discoveryloop.com
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Was a great hackathon as always, got to be a finalist this time, by hacking around credit cards to let you backup your wallets thanks @ETHGlobal
Replying to @ETHGlobal
🏆 ETHGlobal Lisbon Finalist | 🪪 Carte Bleue Recover any smart wallet using real credit cards and a standard cheap card reader. ethglobal.com/showcase/carte…
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🏆 ETHGlobal Lisbon Finalist | 🪪 Carte Bleue Recover any smart wallet using real credit cards and a standard cheap card reader. ethglobal.com/showcase/carte…
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was expecting worse
Apple is hiking prices: MacBook Air from $999 to $1099, MacBook Pro from $1999 to $2199.
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