AI Reading for Monday November 3

Circularity ultimately will be tested by demand

The press, the stock market like big numbers, so you give them big numbers.

You sign a top NFL draft pick, nominally it's a $20m contract. But if it's not a guaranteed contract, you cut the player, you don't pay. Those numbers are like option strikes. As long as the player is worth at least $x he gets paid, otherwise he gets cut. Win-win or at least no-lose for the club.

OpenAI gives people what they want. $1.4T? The actual meaning of the big number is not that clear. Is it hype? yeah. Is it round-tripping and fraud? not necessarily. As Satya says, 'circularity will ultimately be tested by demand'.

I could sign a contract giving me the right to buy up to $1.4T in power from the electric company, I'm not at risk of bankruptcy over it.

OpenAI signs a contract with big but favorable numbers, Oracle stock goes up, giving Oracle financial firepower to deliver, they buy it, competition is locked out. Open AI can trade their cachet and imprimatur for deals where counterparties take more of the risk, and create a dynamic that locks out competition.

They are probably not going to build the full $1.4T unless the demand is foreseeably in the ballpark, and if they overbuild, it's not too clear who ends up holding the bag, but I kind of suspect it will skew toward OpenAI’s counterparties and the public securities buyers.

If they solve knowledge transfer / memory and move to 1b parameter models that need a fraction of the training and inference things will be different. If that happens and they build $1.4T of compute no one needs, someone will really be left holding a bag.

Musk and Altman trade Twitter jabs - X (formerly Twitter)

If your agent is using SaaS…all your users can queue a request to the agent… you only need 1 SaaS seat for the agent LOL

AI Chiropractor 😵‍💫 - Reddit

"And so one day, 1,000 people show up in your village of 500 and start raping the kids"

"This has now happened, God knows how many times in Britain"

I guess when humans get old they do suffer model collapse from repeatedly training on their own outcomes from repeated experience from their own increasingly ingrained flaws

Follow the latest AI headlines via SkynetAndChill.com on Bluesky