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An interesting development, you could say revision, or even a back-tracking on the vision for just what it is that Meta plans to build, eventually.

I think it’s important to keep in mind, despite the excitement, that these technologies are still experimental in many ways, they take time to develop, and they will change. Keeping this in mind can help to temper our expectations, but also to spot the hype.


Nick Clegg, Meta’s president of global affairs, published an 8,000 word essay about metaverse ideals.

Large language models (LLMs) have been shown to be capable of impressive.
few-shot generalisation to new tasks. However, they still tend to perform.
poorly on multi-step logical reasoning problems. Here we carry out a.
comprehensive evaluation of LLMs on 50 tasks that probe different aspects of.

Logical reasoning. We show that language models tend to perform fairly well at.

Single step inference or entailment tasks, but struggle to chain together.
multiple reasoning steps to solve more complex problems. In light of this, we.

Propose a Selection-Inference (SI) framework that exploits pre-trained LLMs as.

General processing modules, and alternates between selection and inference to.