The future is for everyone (on Meta)

Via Matthew Cassellini as I tend not to follow or read much about Meta these days.

Mark Zuckerberg has penned a very long manifesto on the future of AI.

I’ve had a skim through it, then got bored and asked AI to generate a summary for me. It gave me this:

“It is simultaneously a philosophy of AI and an extremely effective piece of corporate positioning.”

“AI is going to become extremely powerful. We don’t think we should slow it down. We think it should be open and available to everyone, with each person having their own highly capable AI agent. Meta wants to build the models, infrastructure and devices that make that possible — and wants governments to avoid regulating the technology into submission.”

No big surprises there.

One thing that struck me, from the title and through the opening paragraphs, is the repeated use of the word “everyone”.

Others will pull this statement apart with far more grace and thought than I, but it’s worth bearing in mind one thing if you choose read his manifesto. WE are the product. Meta wants EVERYONE on their platform because that means more money for them.

Note: I think this is the first time I’ve used AI for something beyond my initial ‘playing’ with it for images and the like.

Further links:

• The Verge — Four takeaways from Mark Zuckerberg’s massive AI manifesto — the main source for the four themes: personal AI, regulation, data centres and government security.
• The Guardian — Zuckerberg pushes ‘superintelligent’ AI for all — useful overview of the open-weight/personal-superintelligence argument.
• Reuters — Mark Zuckerberg’s AI treatise is more ad than tech — the critical perspective behind my point that this is partly corporate positioning.
• Reuters — Meta launches new AI model as Zuckerberg champions open-weight push — additional context on Meta’s new model and its open-weight strategy.
• The Verge — Mark Zuckerberg doesn’t understand how to live — the more philosophical critique of Zuckerberg’s vision, particularly the tension between AI efficiency and the value of human experience.