Chris Rabl (@crabl) header
Chris Rabl (@crabl) profile picture

🇨🇦/acc, technoalchemist @chaosgremlinlab

Lethbridge, Alberta
Joined August 2008
Chris Rabl retweeted
instead of giving your agents / llm whatever a soul.md, tell it to never use first person, that it is an llm, not an "i" its amazing, never going back
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is this how mathematicians felt last week
BREAKING: OpenAI says it found a critical flaw in Brotli, a widely used compression library built into software like Node.js, Bun and Envoy. The bug could let an attacker take over a system just by sending it malicious compressed data, with no login needed. That works both ways: a hacker could hijack an unpatched server, or a malicious server could hijack an unpatched user’s device.
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Chris Rabl retweeted
Craziest news of the week: Andon Labs has a product
Introducing Pion, agents for running fully autonomous companies, any company. We’ve used Pion to run vending machines, radios, stores, cafes & more. How much could Pion make running other companies? Find out yourself! Setup is trivial, the agents do the rest.
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the CrossX app built by @jtaverasv is phenomenal and "just works". if you have an Xteink X3 or X4 it's definitely worth a download. i'm super impressed by the OSS community around this hardware!
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thoughts on grok @bot: @cursor cooked HARD on this release. imo, lack of a dedicated VM and really solid CUA is what held back tools like @openclaw and @claudeai dispatch. dedicated computer use is so cleanly integrated in Bot & completely obviates the need for MCP/ext tool calls
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incoming @modal appreciation post: i freaking love this product. ridiculously easy to run experiments with serverless GPUs!
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grok 4.5 is decent (not on the same level as opus) but limited by 500k context, where it wins is SPEED omg this thing is fast
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and unlike opus/fable it seems to be very strong with research workflows (reproducing results from literature and building evals + running against them)
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theory: "helpful assistant" role/framing enables sycophancy
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Chris Rabl retweeted
I might be one of the few people who is most bearish on human research taste and bullish on automated research: - "AIs can only do hyperparameter search" is mainly a skill issue with bad automated research setups. - human taste is overrated, e.g. frontier labs / neolabs are doing pretty simlar things. - human taste might win in a low-compute world, but not a high-compute world we're entering.
The bitter lesson in 26 words: Don’t be distracted by human knowledge, as AI has been historically. Instead focus on methods for creating knowledge that scale with computation, like search and learning.
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opus 4.7 is extraordinarily good at following precise instructions, unfortunately it is also extraordinarily good at following instructions precisely
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agile/scrum is the key to unlocking agent swarms, bullish on $TEAM
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calling it now, topology and sheaf theory are going to be key to unlocking AGI. best approach we have so far for sensor fusion.
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didn't expect Claude to have such deep thoughts on the soundtrack choice for today's event 😂
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you should be gremlinmaxxing
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thank you @modal for existing! serverless H200 instances with snapshots are so nice for quick experiments
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opus 4.7 is a VERY GOOD model
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been data mining my claude code transcripts to figure out why conversations "feel worse" lately. pulled out 264 "tilt" incidents across 127 sessions, ~9k tool calls and this is what i found...
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in contrast to others i don't think the fix is more thinking tokens. tool selection and "thrash" detection are two places to start: make the model verify against actual source material before it starts claiming things, and detect when the model starts swirling and second-guessing
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anyway. the anthropic team (@bcherny @trq212 and everyone else) are clearly working hard on this. just wanted to share concrete data instead of vibes. it's easy to criticize those in the arena, but please remember they are humans working their butts off for your benefit <3
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