baconner
Joined 16 years ago
Joined 16 years ago
Ai makes it a lot more urgent but pm folks who dropped features from on high never worked as well as pms down in the weeds with engineering in the first place, nor did engineers who didn't want to get out there with customers and understand the why deeply.
Lots of responses below give the likely real reasons most of which are probably true in part, but my opinion is it's the primary reason all who is in and who is out decisions are made by the trump administration - fealty. Skills, value brought, qualifications, etc. none of that matter above passing frequent loyalty tests, appealing to ego, bribes (sorry, i mean donations). Imagine thinking "hey, we'll work towards fully autonomous killbots because our adversaries will get them too but the tech isn't strong enough to allow them loose yet" or "yes you can use our ai for your panopticon surveillance, but just not on our own citizens because that is illegal" are lefty woke stances but here we are. Dario failed the loyalty test, as anyone rational would.
...but we're not willing to reject a contract to back that up, and so our words will not change anything for Anthropic, or help the collective AI model industry (even ourselves) hold a firm line on ethical use of models in the future.
The fact is if one of the top tier foundation models allows for these uses there's no protection against it for any of them - the only way this works if they hold a line together which unfortunately they're just not going to do. I don't just see OpenAI at fault here, Anthropic is clearly ok with other highly questionable use cases if these are their only red lines. We don't think the technology is ready for fully autonomous killbots, but will work on getting it there is not exactly the ethical stand folks are making their position today out to be.
I found this interview with Dario last night to be particularly revealing - it's good they are drawing a line and they're clearly navigating a very difficult and chaotic high pressure relationship (as is everyone dealing with this admin) but he's pretty open to autonomous weapons, and other "lawful" uses whatever they may be https://www.youtube.com/watch?v=MPTNHrq_4LU
A. The inevitable breakdown of their massive head start with CUDA and data center hardware. A serious competitor at real scale.
B. Anything that'll cool off the massive data center buildouts that are fueling them.
Seems clear that locking up a major potential competitor especially the minds behind it solves for A. And their ongoing machinations with circular funding of companies funding data centers is all about B - keeping the momentum before it fizzles.
- claude code router - basically allows you to swap in other models using the real claude code cli and set up some triggers for when to use which one (eg. plan mode use real claude, non plan or with keywords use glm)
- opencode - this is what im mostly using now. similar to ccr but i find it a lot more reliable against alt models. thinking tasks go to claude, gemini, codex and lesser execution tasks go to glm 4.6 (on ceberas).
- sub-agent mcp - Another cool way is to use an mcp (or a skill or custom /command) that runs another agent cli for certain tasks. The mcp approach is neat because then your thinker agent like claude can decide when to call the execution agents, when to call in another smart model for a review of it's own thinking, etc instead of it being explicit choice from you. So you end up with the mcp + an AGENTS.md that instructs it to aggressively use the sub-agent mcp when it's a basic execution task, review, ...
I also find that with this setup just being able to tap in an alt model when one is stuck, or get review from an alt model can help keep things unstuck and moving.