Anthropic partnering with SpaceX to lease their Colossus 1 data center (over 220,000 NVIDIA GPUs).

While that on it's own is interesting, the astonishing side effect of that is a sharp increase in usage limits in paid Claude plans and their APIs.

The following three changes—all effective today—are aimed at improving the experience of using Claude for our most dedicated customers.

• First, we’re doubling Claude Code’s five-hour rate limits for Pro, Max, Team, and seat-based Enterprise plans.
• Second, we’re removing the peak hours limit reduction on Claude Code for Pro and Max accounts.
• Third, we’re raising our API rate limits considerably for Claude Opus models.

I think people will generally appreciate this too:

Finally, we recently made a commitment to cover any consumer electricity price increases caused by our data centers in the US. As part of our international expansion, we’re exploring ways to extend that commitment to new jurisdictions, as well as partnering with local leaders to invest back into the communities that host our facilities.

The title here, a paraphrased quote from [Gary Marcus], on TNW, today, evaluating a claim from “OpenAI president [who] says AI is now writing 80% of the company’s code”.

Marcus' specific point about coding is structurally important: a model that produces code which compiles and passes the tests it was given is not the same as a model that produces correct, secure, maintainable, well-architected software. The first is verifiable in seconds; the second requires the kind of judgement that has been the historical bottleneck on engineering productivity. Brockman acknowledges the gap, even as he argues it is closing. "The technology we have right now is very jagged," he said in the Big Technology interview. "It is absolutely superhuman at many tasks. When it comes to writing code, those kinds of things, the AI can just do it. But there's some very basic tasks that a human can do that our AI still struggles with."

Realism re AI coding is knowing that next-word prediction gets us a surprisingly long way in writing code, but less far in making sure that code is robust. Coders (especially vibe coders with little experience) beware

As good as these tools are getting — and they are getting really good and helpful — I don't see a non-technical person, say a product manager or marketing person, being able to steer and coerce these LLMs into producing software that any company should be willing to expose to the internet and their user base if they care about robustness, security, reliability and maintainability of the system. Especially if revenue and reputation are on the line.

While all the talk is about Anthropic’s “terrifying” new Mythos model, and it being too dangerous to release to the public, it looks like we may be able to get our hands on an upgraded Opus 4.7 in the meantime, possibly as soon as this week.

While 4.5 and then 4.6 were total game changers, there is still often frustration working with them, as with all other models. If 4.7 is anything like the upgrade from 4.5 to 4.6, then we should see a notable and much-welcomed increase in capability.