I guess you don't become the world's richest man by paying people fair wages.

You don't really need a cult following, either. Most engineers just want to get paid well for their hard work and experience. Does Musk pay well? I don't know. But it's hard for me to believe so many smart people work for him just because of a cult following.

Totally agree. It’s really about wealth distribution and who controls the resources. Altman is just trying to steer the conversation toward efficiency instead.

That was a really interesting and well-written read, though I got a bit lost when the logic took some sharp turns. The idea of fascism in LLM systems was new to me and certainly got me thinking.

Here is the excerpt for the lazy

Addressing abusive behavior toward our models

We’ve added a prohibition on sustained and needless abusive or cruel behavior toward our models. The policy update is meant to apply only in extreme cases, where users repeatedly act cruelly toward our models, with no discernible purpose. It does not apply to common versions of user frustration, pushback, dark creative themes, or model testing and research.

This addition aligns with a step we've already taken, allowing Claude models to end rare conversations with persistently abusive users on Claude.ai and Claude Code. Such abuse is the main focus of this update; Claude’s ability to end these interactions will remain the primary enforcement mechanism.

Too bad, this isn't happening as a kernel patch. Adding to that point:

The key detail is that CRAM is a hardware implementation of compression, meaning the logic is in the memory controller rather than in software, so it's not a pure software trick like ZRAM. However, it uses standard off-the-shelf DRAM and a normal memory bus, so no exotic modules or custom interfaces are required.

Shallow Hal is a pretty good contender

I agree that support is needed, but I can't take this argument seriously.

Your anecdote is an annoying case, sure. But one personal experience isn't representative of the broader homeless population, and it's certainly not a good argument for hostile architecture.

Using a single cherry-picked encounter to draw sweeping conclusions is exactly how you get policy that "solves" a stereotype instead of a real problem. Broad statistics don't care about your one story, and neither should public policy.

Hey, did you actually read that article you linked? It clearly states Nissan's the worst offender, and Tesla's privacy issue was that 2022 data breach where employees shared videos. I'm not defending Tesla, but let's stick to the facts here.

https://rounded.com/daily-collection-hd4646/

Might not be the cheapest, but there are compatible listed models you can try search for as well.

Was this not the plan all along? I thought it was an open secret to open woth high price, let initial investors sell their shares. Let 401K and small-time investors buy it, up and take the fall.

Context engineering is a skill analogous to communicating a problem to fellow maintainers. This typically involves articulating the issue within an issue tracker, pull request, or comment using written text. Therefore, proficiency in "prompt engineering" is essentially a measure of one's articulacy.