Agree. What I love is how it freezes time, and that is so fresh in our fast moving visually fluid world.

Elon Musk at one point looked to merge OpenAI with TESLA once it became clear the nonprofit could not generate the billions needed.

And she ends chapter one with showing how the quest to win AI domiance is being led by "...the polarized values, clashing egos, and messy humanity of a small handful of fallible people."

Ah here we go... "Over the next four years, OpenAI became everything that it said it would not be." (p.14). With characters such as Thiel, and Musk as backers I can see a pattern here.

Ten pages in and it's reading like a soap opera...who did what to whom, as OpenAI fired and rehired Altman. I need to get past this part and onto how it's an Empire - this is why I bought the book.

Ten pages in and it's reading like a soap opera...who did what to whom, as OpenAI fired and rehired Altman. I need to get past this part.

Bought your book and I'm on page one. Both encouraged and terrified.

Here book is based on over 300 interviews with 260 people and details corroborated with at least two sources.

KH begins with a quote from Sam Altman from 2013, talking about how "The most successful people create religions."

He ends the book with the Luddites and saying the change happening now is different, more adapted to human needs and wants rather than focused on an industrial output, but to get there intense and unprecedented containment is a prerequisite.

NGOs, media, trade unions, grass root campaigns, philanthropic organisations

Despite Suleyman's efforts, DeepMind and Google were not able to establish ethical practices and oversight - AI was supposed to be open source, with finding set aside for social good, but in the end shareholder profit prevailed - but pushing from within for such mechanisms is another of the 10 tools

Choke points in AI tech can be used to slow development and buy time for measured implementation - e.g. just 3 companies collaborte to produce the chips needed: NVIDIA, TSMC, and ASML

Independent audits of AI tools to ensure transparency and trust, examples SecureDNA: an oversight program to screen for potentially dangerous elements.

AI systems can be "boxed" - designed with "air gaps" and "sandboxes" to throughly test AIs before release into the wild.

Lays out 10 steps to AI containment - beginning with direct funding of safety research on how to best teach AI's to be ethical and morally responsible, in the same way we teach children about right and wrong.

Making the case regulation is never enough (e.g. we still have road accidents). And there's also "pessimism aversion" towards change.

these examples and more are why Suleyman says containment must be possible - he refers to EU's AI Act still being developed (actually established post publication of the book) www.europarl.europa.eu/topics/en/ar...