stingraycharles

It didn’t read particularly LLM-ish to me, just corporate?

Oh that’s interesting, so it’s actually somewhat doing what it’s supposed to do as a “nice actor”.

Should be more explicit though and users should be able to opt out.

But what is the root cause, why send the email in HTTP requests in the first place?

Docker containers run sshd?

So, what exactly can a base model do? Is this like the pre-reasoning models that just autocompleted, without any alignment, reasoning, etc optimizations?

I may be ignorant, but what do you mean with this and why is it upvoted so much?

To me KISS is basically about how you’d write the code, the architecture, which is something that - at least currently - humans need to oversee when writing new code with LLMs.

But what does it have to do with AI discovering a ton of bugs in a lot of (open-source) software?

Ranges need work as well, there’s lot of opportunity to improve things there.

Concepts are evaluated compile time and make a lot of TMP more elegant. Contracts are runtime check, akin to assertions.

Phrased differently, contracts are to concepts what assert is to static_assert.

I so miss these Airport APs, I really don’t understand why the product line was cancelled, it was perfect.

Ok I may be an idiot, but I just have a permanently attached external disk that does Time Machine, what am I missing out on? Why network location? Or are you backing up massive amounts of data? (for me it’s just 2TB)

Yes but my point is that I never realized that the AI would be writing tools to update the weights directly, rather than improve the existing training process.

A tangent, but I’m now realizing that the “recursive self improvement” thing that these LLM companies are talking about is (probably?) not about unsupervised Claude Code instances improving the training process, but rather LLMs modifying their own weights through tooling directly. It would certainly open up a whole new process for model optimization.

Yeah ok of which $1.1B is stock options, so more like $40k a month in actual salary.

I can only assume the whole announcement is about enabling http compression.

I'm amazed that they're not ashamed that they weren't compressing their requests all this time.

Aren’t the concepts mostly already in place for a decade or two at Meta and Google?

Which would support your argument, but I don’t think this is particularly new.

Assuming it’s entirely unsupervised, yes, which I can only assume to be the case at these volumes (hence the dogfooding).

I do believe this will force the AI labs to eventually solve the bloat problem with AI, but we’re definitely not there yet.

I’m not buying this argument, the apps of the LLM providers are some of the most wasteful apps that exist. Have you ever looked at how much memory / CPU Claude and Codex use? They ship with entire virtual machine hypervisors for sandboxing.

I think it’s simply a matter of dogfooding and new feature development, they do have much higher velocity than companies of equivalent size and an unlimited token budget helps as well.

Not in that way, more that they can predict what good or bad relations between weights would look like.

And what’s the math? OpenAI is not going public, Anthropic is, and the math is… the SEC will block the Anthropic IPO because of what exactly?

It’s astonishing how many people here claim to be financial experts and interpret the Anthropic IPO in a way that makes them look evil.

That’s the old style IPO though, most IPOs nowadays do not actually raise money.

SpaceX made that even more clear by doing an explicit offering of shares to raise money just months after their IPO, which didn’t raise them any money at all but was just for investors and employees.

To let early investors exit? Most private funds like that have a horizon of 10 years, so they want to sell their investments at some point.

If the SEC allowed the SpaceX IPO they most certainly will allow the Anthropic IPO. From my point of view, the Anthropic IPO is a much more genuine one than the shenanigans that were going on with SpaceX, yet we’re all investing into that through ETFs as well.

Additionally, some ETFs have built in protections to rule out businesses that are not yet profitable (like SpaceX and Anthropic), which I think is a great rule.

Well what I do know as someone who has a bird’s eye view into many enterprises is that many of them are starting to realize they’re bleeding money to Anthropic and are telling their teams to be more efficient with tokens.

Don’t forget that weights of models and their behavior may, perhaps unintentionally, be in their training set.

Or at least those of some models, and I wouldn’t be surprised that an LLM model is able to understand correlations between weights and behavior better than humans could ever do.

There are two types of multipath TCP and they are not at all the same.

What Apple does is, for example, being able to have a connection over WiFi and 5G simultaneously, with different IPs and routes.

The more traditional server side multipath is that you have a network card with 4 ports (eg 4x 25gbit) and connect them to a router, and make those 4 physical ports (paths) behave like a single interface. This helps either load balancing or redundancy.

The latter is what this vulnerability is about.

19 hours in and it's still the same, I don't understand why it's not being updated

Wow if that is the case… Cursor certainly needs to communicate much more clearly that Anthropic wasn’t involved in this at all.

I’d still expect a post mortem, be it from Cursor or Anthropic.