Inference
@inferencemag
We should capture the benefits of AI, while mitigating the risks.
We are pleased to announce the first edition of Inference Magazine — a new publication on AI progress. In the first edition, we cover: How much economic growth we should expect from AI, how soon? Previous general-purpose technologies provided very gradual boosts to growth over…
Great @inferencemag event tonight. Refreshing to see a discussion where even the “pessimists” accept that AI is going to be a very big deal
This will be fascinating. @tylercowen, @TomDavidsonX, @NPCollapse and Mike Webb debating AI in London on 1 July. Register below.
Inference is hosting some of the world’s leading experts for a debate on the possibility and potential consequences of automated AI research. The debate will be hosted in London on July 1st. There are limited spaces available. Register your interest below
AI 2027 forecasts that 200k automated superhuman coders will be accelerating AI research in March 2027, but what are they all going to do? Based on their forecast, each coder only has 20 GPUs to work with. My latest piece on why I think AI 2027 is an unrealistic scenario:
Latest!
Narratives of the singularity (sit awareness, AI 2027 etc) assume it will be straightforward to "solve robotics" with powerful AI. But they don't address the challenges in robotic R&D. To get robots that could automate 100% of human tasks, we'll need to improve the hardware.
Inference latest: The Parrot Is Dead We've had indications for a while that AI models aren't just "stochastic parrots". Anthropic's new research has proved it: large models are learning circuits to solve general classes of problems. But what separates this from human reasoning?
This trendline is worth considering.
When will AI systems be able to carry out long projects independently? In new research, we find a kind of “Moore’s Law for AI agents”: the length of tasks that AIs can do is doubling about every 7 months.
A great first piece from Sam, recommended
When will AI systems be able to carry out long projects independently? In new research, we find a kind of “Moore’s Law for AI agents”: the length of tasks that AIs can do is doubling about every 7 months.
Latest from Inference, by the brilliant @anton_d_leicht:
New from me & @jackwisem4n in @inferencemag: Peak Brussels Right now, it looks like EU institutions run European AI policy. This piece tells the story of how that could rapidly unravel in the face of economic and geopolitical pressure. 🧵
New from me & @jackwisem4n in @inferencemag: Peak Brussels Right now, it looks like EU institutions run European AI policy. This piece tells the story of how that could rapidly unravel in the face of economic and geopolitical pressure. 🧵