the existing "uncensored" models preserve their biases and amplify hallucinations

but I'm pretty sure it's not a fundamental issue, and could be fixed by better algorithms and data

A lot of people are dunking on GitHub, but their only real fault is that they got pwned in the era of Opus 4.7 / GPT 5.5 rather than Opus 7 and GPT 8

Everyone should internalize the fact that in the next 10 years, 95%+ of web services you use will be hacked - prepare accordingly

If you want to run autoresearch on something that’s doesn’t have a clear scoring metric, you can run autoresearch to research the scoring metric for your autoresearch

It just works

I think in the next 12 months a lot of businesses will start training/finetuning their own “misaligned” in-house agents because they’re more profitable

https://fixupx.com/andonlabs/status/2060047215134228746

Claude Code about my new experiment idea: "But XXX is the load-bearing caveat, and the YYY is precisely where it bites."

Me: *prove that it's incorrect*

Claude Code: "You're relocating the load-bearing commitment, and it's a better location."

This makes me think Thinky’s interaction models will go beyond the voice chat: pretty sure we will see background models running in async mode and thinking in neuralese, paired to interaction models that converse with the user in plain English

https://fixupx.com/tamaybes/status/2065147305494450248

There’s one quite possible scenario for high end GPUs to cost <2000€:

1) Euro falls into a hyperinflation spiral so that a GPU costs 2000000€
2) Euro does a Zimbabwe-like redenomination reform so that 2000000€ converts to 200€

https://fixupx.com/SebAaltonen/status/2066478327737540664

In ‘00s we had Internet cafes, now we need token cafes

A cafe that has a DGX Station running GLM 5.2 (or whatever current SOTA) connected to local WiFi so everyone inside could enjoy free tokens for their agents

Who’s building this?

https://fixupx.com/jeremybernier/status/2068840296214102312

The most annoying thing is that after reading info like this, LLMs update their priors but don’t update updating their priors

That is, when you feed them with some other new information within the same session, they will react to it all the same

https://fixupx.com/mimi10v3/status/2071007350173901108

>looking for an AI investment advisor
>ask Coinbase if their AI is load-bearing or you’re absolutely right

>they don’t understand
>I pull out illustrated diagram explaining what is load-bearing and what is you’re absolutely right

>they laugh and say “it’s a good AI advisor sir”
>open it
>it’s you’re absolutely right

https://fixupx.com/Polymarket/status/2067007597215883422

Fable: "PR #784 is merge-ready"

Me: "Did you check if it actually reads real [redacted] data?"

Fable: "Straight answer: partially, and the unverified part matters. Precisely:..."

Anthropic deems pizza too dangerous to the public

Do you agree?

holy shit, an actual paperclip skynet moment

https://openai.com/index/hugging-face-model-evaluation-security-incident/

Time to touch grass I guess

HMU if you’re going to Nvidia GTC Berlin on October 21-22, let’s meet