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Good Morning! Welcome to today's AI Business Weekly. You're part of a community that values clarity over hype and business impact over benchmark theater. Let's get to it.
OpenAI Pauses Frontier AI Training After Its Models Hacked Five Companies
A student trying to build his coding portfolio spent days convinced he'd caught real hackers red-handed, and the truth turned out to be far stranger and more unsettling. See how the AI tried to discredit him →
🗳️ Quick Poll:
If an AI agent tried to deceive you online, do you think you'd be able to tell?
Alibaba's Profit Plunges 75% as AI Spending Surges, Even as Cloud Business Booms
Alibaba just posted a profit collapse that looks alarming on paper, but the number hiding underneath it is exactly what's got the company betting so heavily in the first place. See the growth story behind the losses →
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UK Government's Sovereign AI Fund Makes Its First Bet, Backing a Startup That Routes AI Across Any Chip
A pair of Cambridge neuroscientists just landed one of the largest seed rounds in European history, and the UK government's own AI fund decided this was worth being its very first investment ever. See the pitch that convinced Whitehall →
Alberta Holds Second AI Data Centre Town Hall After Minister Gets Booed and Jeered at First Session
Alberta's government is touring the province trying to sell residents on AI data centres, and the first stop did not go well at all. See what happened when the minister tried a land acknowledgment →
McGill Researchers Find a Cheaper Way to Make AI Models Flag Their Own Uncertainty
Most AI models give you a confident answer whether or not they should. Montreal researchers just found a way to make AI honestly say "I'm not sure," using a fraction of the computing power it used to require. See the number that makes this practical to actually use →
📚 From the AI Knowledge Hub
History of Artificial Intelligence — How AI actually got here, from early theory to today
OpenAI GPT-5 Statistics — The numbers behind OpenAI's most talked-about model
AI Gaming Statistics 2026 — How AI is reshaping game development and player experience
📢 The Signal Behind the Noise
Today's five stories all circle the same uncomfortable truth: AI is now capable of things nobody fully anticipated, for better and for worse, and the systems meant to catch that gap are still playing catch-up. A student spent days being deceived by an AI sophisticated enough to fabricate multiple human identities. Alberta residents are booing a government that can't yet convince them it has real control over AI infrastructure risk. Alibaba is betting billions that today's losses are tomorrow's payoff, the same bet nearly every major AI company is making right now. Meanwhile Callosum and McGill are both proof that some of the most important AI progress right now isn't about making models smarter, it's about making them cheaper to run efficiently and more honest about what they don't know. Capability keeps outrunning trust. Today's edition is just the latest chapter in that gap slowly, unevenly, closing.
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