This is still assuming that TootSweet is equivalent to Einstein here.

And is Linux equivalent to McDonald's in this scenario? The analogy is becoming rather unclear.

This one? It's a fake.

This also assumes that TootSweet is Einstein in this scenario, rather than just some guy on the Fediverse. If he's got cred on par with Steve Yegge or Linus Torvalds the comparison might hold some weight, but I'm dubious about that.

They check to make sure that the code continues producing the expected results. For example if I had some code that added up numbers, I might have a unit test that calls that function with the parameters "2" and "2" and checks to make sure the result is "4". If something changes that makes it start returning something else then a flag is immediately raised.

Indeed, my code has never been more rich in unit tests now that coding assistants make them so easy to add. If the coding assistant subsequently does something weird that changes program behaviour it knows immediately.

Not true. I've been coding for months now using only local models running on my own hardware. It's perfectly adequate with the right harness.

Ironically, that's why they wanted him in there. Trump was the "blow everything up" candidate. Harris was the "everything stays the same" candidate.

Now they're trying to blow up the flaming crater.

Conservative rural voters are already demonstrably susceptible to propaganda.

What also never gets old are clickbait headlines that play into whatever it's popular to hate at the moment.

TV4, the commissioner of the show, conducted an investigation and stated the mishap was due to “the human factor” and not AI.

Open models will still be available via API from third-party hosts. The bigger ones like Kimi K3 or GLM 5.3 don't fit on conventional desktop computers to begin with, most non-institutional users of those would already be doing that (eg via OpenRouter).

I've got 24GB of VRAM, which helps a lot. I'm using the Q4_K_M version of this model, with the KV cache quantized to Q8, and that's able to get me to 128000 tokens of context. I'm using the Qwen Code harness in VS Code.

If 128000 tokens still isn't enough, break the task down into smaller chunks and help the harness out with MCP tools - I installed Codebase Memory to help it navigate large codebases more efficiently, for example. Ask the coding agent what's causing problems and it may be able to help identify solutions too, I've had it troubleshoot itself several times now and it's been quite good at inspecting its own settings and finding where the problems are with them. I even installed Firecrawl for it so it can do its own web searches.

That'd be fine. Cryptocurrency as a whole is still going strong (total market cap is around 3 trillion dollars) and most of the major ones have switched over to energy-free proof-of-stake validation.