From the presentation: "Desiderata for Advanced Machine Intelligence: Systems that learn world models from
sensory inputs, ... have persistent memory, ...plan actions ...to fulfil an objective... can reason,... are controllable & safe by design".

LeCun's lecture at NYU gives a better indication of what he considers as 'advanced machine intelligence', i.e. what he wants to work on after his stint with Meta. It is a bit more than training AI on videos of cats. drive.google.com/file/d/1j3A8...

I may be over-interpreting this, but I was having issues with Copilot Researcher (Microsoft's Deep Research app) whole day yesterday. When a colleague checked Microsoft's product health status page, it mentioned large number of queries and data centre capacity issues....

Here's a couple of suggestions: www.quora.com/What-are-the...

Fair point about R&D costs being the biggest part of OpenAI bills. But if they decided to ditch their R&D, it would take about 6 months for open models to catch up, at which point the cost of inference would be equal to the cost of hardware.

My guess is that all LLMs are currently trying to capture a market share with a view that they will commercialise it later on. From that perspective EM may be trying to capture a market share of people who do appreciate 'fancy Daily Mail'.

It is almost sure none of the big LLMs are currently commercially viable. Even the most successful one (OpenAI) is losing significant amount of money, have minimal moat to protect themselves from new entrants and open source / open models are only something like six months behind.

@richardveryard.bsky.social Any recommendations?

In the real actual world we already live in, restaurants are already reverting to only taking reservations by phone, or charging huge reservation fees, to stop automated booking. This is with basic bots!

CBBC Newsround had a segment on tariffs on Wednesday or Thursday: www.bbc.co.uk/newsround/vi...