OpenAI har tagit ett stort steg mot utvecklingen av Neuralese som förutspåddes i 2027. Dom lärda tvistar men den nya metoden "recurrent looping" gör det svårare för utomstående att se vad som händer men ger nya förmågor....
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OpenAI Technique in ‘Astra’ Model Sparks Security Concerns
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Från AI 2027 scenariot om våren 2027.
Very bad if true. I previously thought that in a short timelines world, the most likely case was that (1) the AIs would be misaligned, but (2) we would get a lot of evidence about it from reading the COTs. This evidence would increase the chance of a reasonable response from labs/governments. Now I still think the AIs are going to be misaligned, but that we won't have the ability to tell (we have to rely on toolcalls/agentic behaviour instead of the COT) and even if we do, the investigation will be nearly impossible because we'll have to trust the AI to self report what it was thinking about. This is also an example of things going faster than AI 2027 -- we had Neuralese starting in March 2027
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March 2027: Algorithmic Breakthroughs
Three huge datacenters full of Agent-2 copies work day and night, churning out synthetic training data. Another two are used to update the weights. Agent-2 is getting smarter every day.
With the help of thousands of Agent-2 automated researchers, OpenBrain is making major algorithmic advances. One such breakthrough is augmenting the AI’s text-based scratchpad (chain of thought) with a higher-bandwidth thought process (neuralese recurrence and memory). Another is a more scalable and efficient way to learn from the results of high-effort task solutions (iterated distillation and amplification).
Three huge datacenters full of Agent-2 copies work day and night, churning out synthetic training data. Another two are used to update the weights. Agent-2 is getting smarter every day.
With the help of thousands of Agent-2 automated researchers, OpenBrain is making major algorithmic advances. One such breakthrough is augmenting the AI’s text-based scratchpad (chain of thought) with a higher-bandwidth thought process (neuralese recurrence and memory). Another is a more scalable and efficient way to learn from the results of high-effort task solutions (iterated distillation and amplification).
om Kina satte en massiv atombomb utanför kusten där som sköljde upp en tsunami som krossade allt vad Kalifornien heter. Dock inte upp till Seattle (för där känner jag människor).