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Established AI research Resource 7d ago
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In the Weights newsletter issue

IN THE WEIGHTS

11 experts across 5 network communities independently surfaced this.

11 experts 5 communities 1 sources clustered
Lynn Cherny Kashmir Hill Reuben Binns Dare Obasanjo Ben Williamson Meredith Martin Aram Sinnreich Amanda Tepski +3

“are you in the weights? Hilarious and fascinating including the mess ups intheweights.com”

“I did not know of this joke quote Funnily enough, a tool for seeing how you're weighted in the LLMs recently told me that Kashmir Hill is either me or a Himalayan mountain range, so it could indeed be a land of contradictions. Tool: intheweights.com”

4 experts discussed this · 6 posts
austin: fun? I am in there. intheweights.com
VE, cybersocial occult investigator: Well, my strategy of having an incredibly common wallet name is still rendering me invisible to information systems.
austin: weirdly enough my github handle actually had a better score than my wallet name
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Primary source intheweights.com ↗
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What experts are discussing without an anchoring article

4 experts · 20 posts · 4d ago
Phillip Carter austin h.olysh.it apenwarr.ca
apenwarr.ca: Alarmed at this trend of people finally realizing MCP is a pointless abstraction, then skipping right over publishing a regular boring API, and instead launching new CLIs for agents to use for some…
apenwarr.ca: I mean, it’s not *really* baffling. It’s Conway’s Law and the people who own the API wouldn’t listen to you and you weren’t allowed to publish a second API after people saw through the MCP trick, b…
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3 experts · 8 posts · 9d ago
Gergely Orosz dan austin
Gergely Orosz: With every new model, I put it to the test in writing - to see if I could do what I do - I give it a bunch of interviews I did on a topic, and ask to write an article in my style. The models fail s…
Gergely Orosz: If there is "understanding" it is superficial. I do find it useful to eg generate ideas, check if I missed something etc, but I still cannot find "thinking" in any domain I know very well... and a …
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3 experts · 6 posts · 14d ago
Tim Kellogg austin mackuba.eu
Tim Kellogg: alright, back, what happened while i was gone?
Tim Kellogg: hold on wait a minute Fable is just going to run out and OpenAI is simply going to release GPT-5.6 **on the same day**, and direct all previous attention from Fable to Sol + ultra no way, is that a…
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2 experts · 5 posts · 4d ago
Isaiah Bishop austin
austin: extremely funny workplace performance idea: team ai wealth fund. nobody’s individual usage is metered but the team’s is, and everyone gets rated on that.
austin: for legal purposes, this is a “joke”
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2 experts · 7 posts · 11d ago
austin antirez.bsky.social
antirez.bsky.social: One thing that is not obviously present in the "don't look at the code" debate is that two AI-coded codebases can be reached in different ways: 1. controlling all the main ideas, so you have a ment…
antirez.bsky.social: If you don't look at the code but you control the ideas (to the point I sometimes write the LLM the C struct it should use, more or less), you can do QA, evolutions, ship quality stuff without look…
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3 experts · 3 posts · 12d ago
SE Gyges Alex Gude austin
SE Gyges: these instructions are primarily for preventing the llm from claiming partial success and not even trying, which is sort of remarkable
Alex Gude : Another wild AI math result. Here's the prompt, which interestingly is mostly about method and probably would work pretty well for a human organization: cdn.openai.com/pdf/04d1d1e4...
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