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Alternate hypothesis: Kimi K3 and Qwen 3.8 show that leading in model releases does not esp. matter commercially. MSFT and GOOG may well have figured out that what will matter is effective agentic integration with the vast user data in their core office suites. That’s hard but worth getting right.

Ethan Mollick@emollick.bsky.social

Both companies took tremendous reputational risks on an early technology before there was even a market for it (Bard was inaccurate and had controversial imagegen, Sydney was insane). Their inability to be daring now, when the market is clearer, is more surprising as a result.

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im very curious how this is gonna play out, i see the risk as well, but two forces go against it i think: more user data makes the problem of creating good llm results much harder. its basically why all all these harnass memory providers like mem0, honcho and Hindsight suck, they pollute context

using memory/user data is much more a problem of what data not to use than what data to use, and getting this wrong results in worse output than no memory/personalisation so far my experience with llm memory providers is that it is very easy to overshoot and get worse results than no memory

the 'organise-my-life' assistant's value comes from the ability to integrate with every possible service. so even google/msft will have to balance providing open data in some form as well, otherwise theyre gonna get shut out in retaliation

for both, will this be enough? no idea, good change that msft/google will continue to dominate. but i do think the dynamics are quite a bit different now, where just a pure 'we have all your data' isnt enough

I agree. There are lots of models frontiers and lesser but the people implementing it struggle to get them to work. Remember ERPs have been around for a long time. Most of them are botched implementations in one way or another. We seek the frontier but can’t handle it when we have it.

Personally, I hope Ethan is right and they are being timid, because their potential ability to lock customers into an agentic environment where all their email and other data already lives seems overpowered to me.

Ted Underwood@tedunderwood.com

I continue to think the killer app of AI is help with organization and executive function, and continue to think MSFT and GOOG are positioned for a scary sort of lock-in there. Model quality is much less of a moat than "we have your data."

in order to really make “we have your data” a moat, Google would have to close off access to gmail and drive and calendar to external tools, and they understand their role as a platform differently. which is probably wise, closed is a short-sighted strategy

hink they can leave it open and undercut competitors just by being the agent that is *right there built into the product.* If user laziness is your moat, you sleep well at night.

Look by contrast at something like OAI’s Sora. Technically it was impressive at the time. But it was a niche product; most people don’t need to generate videos that often. Personal assistant who tracks your todos by observing your email and what you’ve written lately? Widely needed.

Final prediction: The whole culture war over Gen AI is just gone when effective assistants roll out. People who hated chatbots declare victory: “we were right all along: chatbots were terrible.” Companies run ads confirming that new product is rly different: it supports you without replacing you.

I suspect it will look like it does now. To satisfy anti-trust, there will be ways to evacuate your data. Most people will not and be stuck in a hall of mirros where the hyperscalers retain massive margin on housing data with AI.

Coding already ran this experiment. Copilot had the deepest integration in the market - GitHub, VS Code, the enterprise deals - and it still lost the practitioners to a bare model in a terminal once the pricing changed.

Anecdotal, but in my circles Copilot was losing well before the pricing change — its performance and result quality kept degrading. I had paid yearly and by the end I was only using it for last pass code review. Not performing was what killed it, pricing change was MS pissing on the open grave.

Yes the only reason copilot appeared to hang on is because you could get opus4.6 for $10/mo flat, not token rated, via Copilot pro. An insane deal. Copilot itself was always hot garbage.

They did have the pricing edge… but once you’d tried Claude Code directly, the only reason to go back to Copilot was valuing the cost difference a lot more than your time. And don’t get me started on their unfathomably shitty “auto”, which I’m sure boiled down to “whichever is cheaper right now”.