For many possible reasons, depending on where you live.

"But the economy" is an out-of-date framing. The cost of renewables has been plummeting for well over a decade. New renewables are now cheaper than new fossil fuel plants in most of the world, and in many regions they're already competitive with or cheaper than simply running existing fossil fuel infrastructure. As modern wars in Ukraine and now Iran are increasingly demonstrating, they are not only cost effective but rapidly a matter of energy sovereignty and national security.

That's not to say we won't need treaties and supranational entities for some aspects of decarbonization. Methane emissions outside of agriculture are notably a problem of enforcement.

We're badly in need of a collective update to our priors regarding renewables. In the US, a hostile policy toward renewables is not only shooting ourselves in the foot environmentally, we are now actively impoverishing ourselves due to entrenched economic interests across the fossil fuel industry and the cultural inertia they actively worked to develop.

Maybe this is a naive question, but why wouldn't there be market for this even for frontier models? If Anthropic wanted to burn Opus 4.6 into a chip, wouldn't there theoretically be a price point where this would lower inference costs for them?

The demo was so fast it highlighted a UX component of LLMs I hadn’t considered before: there’s such a thing as too fast, at least in the chatbot context. The demo answered with a page of text so fast I had to scroll up every time to see where it started. It completely broke the illusion of conversation where I can usually interrupt if we’re headed in the wrong direction. At least in some contexts, it may become useful to artificially slow down the delivery of output or somehow tune it to the reader’s speed based on how quickly they reply. TTS probably does this naturally, but for text based interactions, still a thing to think about.

I tend to agree, this has been my experience with LLM-powered coding, especially more recently with the advent of new harnesses around context management and planning. I’ve been building software for over ten years so I feel comfortable looking under the hood, but it’s been less of that lately and more talking with users and trying to understand and effectively shape the experience, which I guess means I’m being pushed toward product work.