Will tailcalled think that the Brain-Like AGI alignment research program has achieved something important by October 20th, 2026?
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The Brain-Like AGI research program by Steven Byrnes is based on taking brain models from neuroscience, containing a genetically hard-coded steering system and a learned-from-scratch thought generator and a learned-from-scratch thought assessor, and analogizing this to a method of creating artificial general intelligence.
- A hope is that it may provide a factorization of the problems involved in alignment that better fits together with the products that capabilities researchers are actually producing.
- In 4 years, I will evaluate Brain-Like AGI and decide whether there have been any important good results since today.
- I will probably ask some of the alignment researchers I most respect (such as John Wentworth or Steven Byrnes) for advice about the assessment, unless it is dead-obvious.
- About me: I have been following AI and alignment research on and off for years, and have a somewhat reasonable mathematical background to evaluate it.
- I tend to have an informal idea of the viability of various alignment proposals, though it's quite possible that idea might be wrong.
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- Quali sono le probabilità attuali per Will tailcalled think that the Brain-Like AGI alignment research program has achieved something important by October 20th, 2026??
- Manifold Markets quota No al 89% al 8 settembre 2026.
- Quando si risolve Will tailcalled think that the Brain-Like AGI alignment research program has achieved something important by October 20th, 2026??
- Will tailcalled think that the Brain-Like AGI alignment research program has achieved something important by October 20th, 2026? dovrebbe risolversi il 20 ottobre 2026.
- Come viene liquidato Will tailcalled think that the Brain-Like AGI alignment research program has achieved something important by October 20th, 2026??
- Manifold Markets liquida questo mercato come segue: The Brain-Like AGI research program by Steven Byrnes is based on taking brain models from neuroscience, containing a genetically hard-coded steering system and a learned-from-scratch thought generator and a learned-from-scratch thought assessor, and analogizing this to a method of creating artificial general intelligence.