A plus of Fable being down is the number of times the word “toast” appears in Claude Code has dropped dramatically. That model loved/loves software development and UX jargon more than any other model I have used.
@emollick
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Uncertainty in Rebuilding Companies with AI Agents
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We don’t honestly know the best approaches to rebuilding companies around AI agents, especially in ways that expand competitive advantage & augment existing human capabilities. Practical agents are merely months old. Experimentation (and productive failures) will be required.
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No financial incentives for open weights frontier models; huge capability gap.
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The financial incentives for training frontier open weights models don’t exist. Small models, sure, but there is a huge capability gap.
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Mistral, the only EU frontier model maker, walked away from it
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Sure, sovereign contractors are fine. But Mistral started as a model maker, and those are much rarer than contractors. They were, in fact, the only EU frontier model maker. It seems significant that they walked away from it.
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Spotting obvious AI phrases and blocking bad bots
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“Doing a lot of work” is a really obvious AI turn of phrase. I block badly prompted AI bots.
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AI increases capacity in weak organizational areas cheaply
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In fact, areas that are not important in your organization could benefit even more from applying smarter models, since the organizational capabilities & human capital in those areas are weak, and good AI might be a cheap way to increase capacity!
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Big models better at everything; rethink smaller model assumption
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I think the assumption that you should use smaller models for less important tasks is flawed (or at least deserves much more careful consideration). Big models are generally better at everything but cost, so it is worth considering whether gains in non-key tasks would be valuable
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Mistral gave up on frontier models; open weights bet hinges on China.
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I get that Mistral has largely given up on building frontier models, as many comments have pointed out, but it absolutely did not start out that way. (& a bet on being a vendor of frontier open weights models is only a good bet as long as Chinese labs are allowed to release them)
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Mistral’s struggle to keep pace with Big Three and Chinese labs
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Has there been anything good written about the failure of Mistral to keep up with both the Big Three and Chinese labs? They have talent and national backing, but despite being Europe’s only frontier lab (Google Deepmind’s UK lab aside), they haven’t been able to close the gap
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Training a Mythos model requires noticeable amounts of compute
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And by regulatable amounts of compute, I mean training a Mythos class model uses enough power and chips that national governments will obviously notice. No ine is training a model of that size without permission