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> My primary concern is the risk that authoritarian governments—not solely the Chinese Communist Party (CCP), although the CCP is clearly the most capable threat—build AI models that are more powerful than those built by the US, and use them to achieve permanent military superiority or perpetrate incredibly deep repression of their own people.

That is not an argument against open weight models. That's just a generic protectionist argument against any Other lab.


They hook into industrial water supplies (usually not potable, unless the utility has no other option)


I would say that is the exception rather than the rule (potable is normal).


You can drink it, but the utilities don't rate it for that / guarantee (complete) treatment, IIRC.


"Fable 5 (disabled) Most capable for your hardest and longest-running tasks · Disable zero data retention to unlock Fable 5 access"


> Crazy. Those same enterprises will get sticker shock and leave.

They are already. Both for sticker shock, and also because of developer sentiment beginning to shift towards Codex. …and then in a month or two the winds will shift again, I'm sure.

It's interesting to see how Claude Code got commoditized so quickly.

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> and they have the vastly better brand

Strong disagree there. Anthropic has pretty successfully branded themselves as the more ethical & 'human' of the two companies. (whether that's the actual reality is irrelevant)


Especially considering this is very very similar to Figma Make


Same here. And just recently made the switch back to VS Code with CC

Also means you don't have to deal with Cursor's busted VS Code plugins due to licensing or forking drift (e.g. Python intellisence, etc)


https://gist.github.com/kieranklaassen/d2b35569be2c7f1412c64...

Looks like claude calls it just "teams" under the covers


Juniors are also more likely to be the MOST proficient/comfortable with AI tooling.

Pair them with a senior so they can learn engineering best practices:

And now you've also just given your senior engineers some extra experience/insights into how to more effectively leverage AI.

It accelerates the org to have juniors (really: a good mix of all experience levels)


> Juniors are also more likely to be the MOST proficient/comfortable with AI tooling.

Why? That seems unlikely to me. That's like saying juniors are likely the most comfortable with jj, zed, or vscode.


I think a big part of the switching cost is the cost of learning a different model's nuances. Having good intuition for what works/doesn't, how to write effective prompts, etc.

Maybe someday future models will all behave similarly given the same prompt, but we're not quite there yet


Same here. Gemini really excels at all the "softer" parts of the development process (which, TBH, feels like most of the work). And Claude kicks ass at the actual code authoring.

It's a really nice workflow.


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