For 28 years: a journalist in print, TV, radio @ CBC, POLITICO, CP. Next: Getting a master’s in Artificial Intelligence management at Georgetown.
Alex Panetta
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/ The paper concludes by insisting that the path for AI can't be predicted, and ends with this powerful quote to illustrate that uncertainty: [cont'd]
Striking paper from Wharton: AI must increase productivity 2.7x -- quickly -- or tech companies risk bankruptcy. For context: this is how a quickie 2.7x compares to historical precedent. Useful context for OpenAI reportedly talking to the US government about a bailout (ahem, I mean ownership stake)
/ "If the [productivity] boom fails to materialize, the current [AI] buildout will be the largest misallocation of capital in history. On the other hand, those who are certain of that outcome may be making a mistake analogous to that which many forecasters made in 2007, but in reverse..../
/ ... "Rare events are hard to imagine until they occur."
Anthropic's powerful new Mythos-level model stopped while rendering my Daily AI briefing note. Its security flag went up.... simply because I mentioned its own system card!
/ That surprise aside, here's my daily briefing: The good, the bad, and the ugly of Claude's Fable 5.
A highly capable model -- that raises new and unsettling questions about inequality, power, and speech.
Also today: Canada gets new legislation and a new open-source model.
/ In my daily AI digest. It's the lead item in the 'What's In Academe' section.
dailyaidigest.net/archive/2026...
