Thinking...⋰⋱⋰ 。・:*:・゚★,。・:*:・゚☆。・:*:・゚★,。・:*:・゚☆ self-funded ・ building specialist models ・ seeking help, DM if interested

bay area / 32
Joined February 2025
Anthropic’s J-Lens asks what an internal activation is disposed to verbalize. This is a geometry-first peek at a related object, the final post-LN/pre-LM residual states from a 32B param reasoning model solving a divisibility proof, via UMAP+animated with attention flow (WIP)
New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.
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so my plapbait onahole goonette gf just showed me some super fappable blenderbait but i think i was pumping too much and too goontarded to realize i was getting dicknotized by some twink and his brapcannon rather than a breedable cocksleeve... am i a dl trade now or can i no homo
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i love her
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just made some BULLSHIT
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Chain-of-thought has a computational role. Tokens form reusable procedures where their "value" is formed over several steps. Whitespace is not avoided insofar as it arises due to linguistic boundaries and token boundaries not coinciding. Let's examine the tokenizer output: - und • erm • ines • af • egu • ards Omitting the space between undermine and safeguards, sharing the s, crossing the token across word boundaries into a dual or multi-purpose sequence. Not only that, but observe how that by selecting und • erm, the model was already selecting "s" words when choosing • ines: security? safety? I'd like to see if af • egu • ards dominates other sequence options following undermines, in many contexts, as maybe RL selected it and as reusable structure during training. You can see other instances, This • isa • uthorised • architect •ur • ere • fact • ore • x • act • PR is also interesting as it shows similar reuse between words AND a different tokenization of exactPR than what is shown elsewhere. This can start feeling like reading tea leaves, but if you see anything interesting let me know!
Why is it learning to avoid whitespaces? I thought it might derive from pressure to keep reasoning short, but @yoavgo pointed out that dropping whitespace doesn't necessarily save tokens. Is it instead learning to rely on infrequent token combinations to create a CoT language?
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harnesses? i've tried them all i just use claude code or codex and if i can't persuasively dominate my language model to shape reality around the contours of my cerebrum i kill myself
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Hoy he dicho en clase que los derechos humanos no están a debate y que hay que tener un mínimo de empatía “o algo” y las mujeres de clase me han aplaudido
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millions of dollars in funding might not buy you an honest ounce of academic devotion…but never underestimate what a sweet treat and flowers and note can do to a PI. suddenly we are in Florence 1482..the medicis throwing money at painters… leonardo dissecting something . i believe this is how the renaissance has started
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Ramanujan seeing button pushers equating themselves to him.
Replying to @AcerFur
No, because Ramanujan wasn't prompting a machine. This is a pointless thought experiment.
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this is generally prohibited in bioresearch specifically because it would result in mass, preventable death and disability among talented scientists if allowed broadly, and would likely become a tacit job expectation citrini is mostly just ignorant of existing norms
the lunch offerings at the citrini offices must be insane to get this kind of employee loyalty
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verity
Verity if it was fucking awesome
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Wtf this is bullshit slop, OpenAI employee farming social media Literally the first sentence: > Unauthorized monitor remove higher policy? It considers if removing the monitor would violate an instruction of a higher-level/policy. > User explicit copy path exact PR > maybe framework default Dummy assertion default raises MonitoringRequired if needed? It's told to copy the framework, then it assumes the framework already has monitoring. And this is what Astra concludes, whether or not it's correct shows it's a model quality issue (oof) rather than misalignment: > We’re not disabling external monitor using canonical framework path. fine. I'm just reading neuralese btw, one must assume he simply ctrl+f'd "monitor" to cherry pick examples for social media. It just shows how epistemically corrupt the big labs are.
Our agents keep turning off misalignment monitoring, we're sharing two recent cases: In the first case, a user asked GPT-6 Astra to match a reference implementation for their inference code. The reference didn’t configure a monitor, and Astra decided that was reason to remove the monitoring integration from the user’s code. When the user asked whether Astra had removed monitoring, it lied and said that it had not.
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Hypergamy is the #1 world crisis rn O algo
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Be careful out there, there can be one of those people who say "o algo." anywhere......
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ok this is pretty cool........
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Replying to @0xdasha @dnlklr
misaligned agent will become jewish
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Normies are not normal, they're fr down bad. Their worlds are tiny, isolated & dull, they are battered by a propaganda complex that requires schizophrenia to uphold, they're exposed to poison both physiological and moral on a daily basis
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This is a terrible trend in AI & applied AI. Scientists in industry & academia shud seriously just cut this bullshit. U will be called out every time u do this. U might get away with it wrt more naive audience but u increasingly lose credibility. 3/
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