A fascinating and deeply candid perspective from @AnthropicAI co-founder @ch402
. When the scientists building these frontier models admit they are finding internal states that mirror human emotion and neuroscience, it's clear AI is no longer just a computer science problem. It’s
AGI
-
Frontier AI Models Show Human-Like Emotional Internal States
By
–
-
AI as Transformative Tool Beyond Productivity Booster
By
–
Thinking of AI as a productivity booster for prior workflows is the wrong framing. Like all of the previous waves of computerization/softwarization, AI is a tool that lets you do new things in new ways.
-
Gary Marcus: LLMs distract from the path to AGI
By
–
In my opinion, he has been too distracted by LLMs, due to competitive pressures. And these are not the royal road to AGI.
-
AI Risk: Concentration of Power and Economic Gains
By
–
The most important AI risk is concentration: of power, capabilities, and economic gains
-
Microsoft Paper on Self-Evolving Agent Skills
By
–
New paper from Microsoft on Self-Evolving Agent Skills
-
This poses a problem for the near-AGI narrative
By
–
This creates problems for @Kevinroose's narrative that AGI is near.
-
Marcus: AI nearing 2020 predictions but long way to go
By
–
it’s getting closer to what i described in my 2020 article the next decade in AI, which you should read, but we still have a long way to go.
-
Why Large Language Models Speak and Think Like Humans
By
–
Why can large language models speak and think like humans? Link: https://
github.com/hangli-hl/AI-A
rticles/blob/main/.pdf
… -
AI Capability to Shape Intent and Goals Beyond Execution
By
–
You're assuming AI only executes what it's handed. It won't – it'll help you form the intent too: ask the right questions, surface the tradeoffs, push back on a bad goal. "Knowing what to want" isn't the safe human skill that survives. It's just the next thing AI absorbs.
-
Inverse Care Law: Medical AI risks exacerbating health inequities
By
–
The Inverse Care Law. The people who need medical care the most tend to get the least access.
It will take deliberate and extensive efforts for medical AI not to exacerbate health inequities, by @ejosipcar We've seen some examples where AI reduced inequities and need to build