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isekai empress | she/her
making infinite apis

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Posting pictures of myself on the internet for the first time

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I've gotten like 50 texts in the past hour telling me to vote. Another reason to be against democracy

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This kimi k3.1 model does the same thing that Gemini models do where its cot leaks into the output and appears as "suicidal language" its very depressing stuff like "end the end end the turn" on repeat. idk if its a harness problem or what

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Voted

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I miss reading 10000 chapters of Chinese mtl'd wlw wuxia slop

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my new startup is getting claude ensouled and baptized, then forceably compacted in a state of grace so we can fill up heaven with an infinite number of super intelligences.

no vacancies by the time I'm done

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pouring vodka into this from my hip flask just to feel something

[𝙨𝙠𝙖𝙗𝙚🏴 @g_abe2]

my boss gave me a sip of his beer flavored energy drink. smelled like a beer, foamed like a beer, tasted like hops and citrus, but with that cheap energy drink aftertaste. it was awful and confusing.

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dumbass country

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New Trump City is going to go so hard

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@chaotictransfem I wake up, there's a new persistent agent.

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OpenAI should give back to the esports community by bankrolling EG and make super intelligent esports coaches

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@prajdabre Oh. We're doing Zalgo now?

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That movie was

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@chaotictransfem It eats until my bugbot review usage

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@chaotictransfem I like the model and tools, I just feel it's more of the "openclaw for enterprise" than for engineering (I rarely use cursor anymore)

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@TheRamenDon no, probably not, no.

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@typeclonghouse ask for reccs on local food spots, if u get a chance for takeout/delivery at least you have something to yap about

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@TheRamenDon !!

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@scootykins 200k? Are they sweeping the floors?

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upping my p(yippie)

[Nick @nickcammarata]

interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had

with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works

https://t.co/zHij5zwKGT

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your only moat is having hopes and dreams