I don't think anyone including Americans are really buying that OpenAI or Anthropic are capable of keeping people safe from AI models at this point, given they can't even run evals on them without significant real world harm.
Depends on whether you like have parasocial relationships with machines or not. It will say what is necessary to get you to keep using it on a regular basis.
Around 2002 there was way more internet bandwidth and infrastructure available than utilized, eventually (not immediately) leading to business models like Netflix current one. I do think a lot about what the AI analogy will be.
Apple would punish him severely unless they cleared it in advance, it might be to their advantage for some reason (negotiating with Google for Gemma rights? idk).
I would be slightly surprised if anything Apple wanted to do with Gemma they couldn't do with Gemini, which they have the right to make various derivatives of.
They could more or less redistribute Gemma as-is in the developer program; they are unlikely to be troubled by any of the licence terms.
They never had $200 billion in cash in any quarter. Not at least since 2014. Besides, how much cash to hold is an executive decision. If the cash balance went down, it doesn't mean their business is not doing well. Cash can be used for Capex, like what the hyperscalers are doing right now. It can be used for buying back equity.
I do not believe they are panicking, not least because I don't think they've finished adjusting Apple Silicon for the task; it will be very interesting to see what happens in the M6 and M7.
I think their strategy is broadly correct, actually; I think there's still a bit of scope for "sit and wait and do it right" here. But acquiring more edge AI tech and edge AI people would potentially be in their interest.
And if they aren't, they should be. They ship some of the cheapest, most capable, and easiest to buy/set up AI hardware out there, and then don't ship any AI software worth speaking of. Apple needs to fix this.
Claude Code is bad UX that tries to rip work out of people's hands instead of actually being aligned and figuring out how to increase their differentiated expertise. It's about renting your future from Anthropic rather than building it or embodying more knowledge yourself.
Our startup implemented four day work week without changing comp, and submitted various data as part of a recent Boston College study. Both wellbeing and output increased in statistically significant way with a team of only 15. Hard to avoid confounding with agents adoption, but overall highly recommend it.
It makes no sense to do broad layoffs during sweeping technical change that affects you, your customers and your competitors all at once. Makes way more sense to cling to your best people and re-train them in order to preserve your soul and institutional knowledge. I think deep layoffs + regret as opposed to re-training is actually uniquely American culturally and not a thing elsewhere.
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