schleck8

ROME cannot look at thousands of ASCII numbers and deduce that it’s looking at a Breakout paddle or a diffusion circle. No tool I know of can do that. And if there is one that can do it, it's new, in which case we haven't been able to do it for years.

ROME edits factual associations. It cannot write a million+ parameter Go-playing neural network from scratch that beats a network trained for 20 million games.

In weight space programming, the model can theoretically read its own weights like a compiled binary, spot an inefficiency (like the MLP direction causing reasoning loops in Exp 8), directly overwrite those floating-point values in memory, and immediately continue inference as a new iteration of itsself. That is RSI. That's why this is a big deal, it's like comparing an axe to modern surgical tools. You can amputate a limb with both, but one is going to cause lots of collateral at minimum while the other is surgically precise

You are fundamentally misinterpreting this paper. If this should hold up in review, it contains multiple capabilities that no human and no technology so far (especially not ROME) can do.

Experiments 1, 2, 3, 5 and 6. All of these are technical breakthroughs

Weight space programming is a holy grail of RSI research, and what you are talking about is very different from that, while the paper's proposals are exactly that.

It's similar in spirit to the Navier Stokes solution in that this level of LLM can intuitively navigate extremely large search spaces, rather than inefficiently bruteforce something

This is not a ban, but the Opus 5.5 "safeguard" interrupting a query.

It's pretty much only money laundering. Supporters use the privacy euphemism but I've never heard of a legal use case for it, hence the tornado mixer sentence

Crypto bros sure are quick to inform law enforcement and centralized financial authorities if their self governance fails

They did, I'm seeing 700 million but there is still movement going on

The hackers managed to swap 700 million USD of the stable coins that were frozen beforehand, supposedly. And that doesn't account for the non-stable coin crypto they stole. I think we are looking at 2.5 to 3.5 billion here, that also aligns with what CZ is hinting at (more than a billion).

> As of 2026, the SAFU fund comprises crypto assets valued at approximately US$1 billion, held entirely in Bitcoin

And decreasing, since BTC is dropping as we speak. Always a good idea to hedge a currency with the currency itsself

If your crypto was stolen in this, atleast you can rest assured that your money will be put to good use. In North Korea that is, by the military. I'm sure at this point Kim himself has Bitcoin merchandise with how often they make massive heists

Stack Overflow is CC licensed

> Content contributed before 2011-04-08 (UTC) is distributed under the terms of CC BY-SA 2.5. Content contributed from 2011-04-08 up to but not including 2018-05-02 (UTC) is distributed under the terms of CC BY-SA 3.0. Content contributed on or after 2018-05-02 (UTC) is distributed under the terms of CC BY-SA 4.0.

1. Well funded 2. Cool idea that hasn't been widely tackled yet. Most action models are accompanied by hardware, Like Figure's Helix

ICEYE from Finland is valued at 12 billion USD

Because some causes are significantly worse than others. If you want to have a big impact, you start with the big levers.

I'll give you an even better example than meat: golf courses in the US consume 2 to 100 times as much water as US datacenters depending on how you calculate.

How many golf-course-water-saving initiatives have you seen? Have they even tried anything at all?

Most people in the West eat too much meat. Red meat in particular is a group 2 carcinogen according to the WHO, so the body isn't meant to consume a lot of it. Yet many people eat meat every day, because "It's not a complete meal without it" or "I somehow need 10 times more protein than people a millenium ago while claiming to eat like them".

I've seen people who hate AI instantly become defensive as soon as someone brings up the water usage for a kg of beef. It's selective outrage.

I don't like whataboutism, but this isn't whataboutism because the meat industry requires way more water per capita like you pointed out. You have to create products twice, once for feed and once to raise the cows.

And I think that's fine because the life management I'm getting out of Claude is great. It's like having a concierge. Back in the day everyone wanted to have Jarvis or Friday

Tell them to take anything with PHP offline, so that it isn't available from the public internet. That is how Netcup and Contabo are handling Wordpress hosting until they've upgraded all affected packages.

There are already functional exploit scripts on GitHub, you can target any Wordpress site right now.

Looking at the technical deep dive further down the article, this is worse than Log4Shell if you need a point of reference. It's one of the two worst exploits that ever publicly surfaced, up there with EternalBlue.

LLM training data

> Was the defeat a planned showing to justify future action to justify more control of the internet, as Preston Byrne speculates

When something can be explained by both incompetence and conspiracy, the correct explanation is usually incompetence.

> The offence was that I had broken rule #9, which I hadn’t noticed, and was new since the last time I posted there. This rule forbids sharing any software that involves AI at all

Linus Torvalds recently said he uses AI to develop Java GUIs because he doesn't know how to write Java GUIs. Between the mods of r/java and Linus Torvalds, I know who I trust more with judging new technological potential.

Here is more from a recent interview:

"I used to think it was just not very good — but now I’m at the point where I actually really like using AI. [...] I don’t do a lot of kernel programming. I’m a maintainer. The Linux kernel is a project where other people do the real work, and I act as the collection point. But I still enjoy programming immensely. I think AI is a wonderful tool if you use it correctly and treat it as a tool, and I find it makes programming much more enjoyable. [...]

I started programming in 1981 or so, and back then computers were much simpler, and you could understand what they were doing, and also the programs you compared your own programs to were much simpler.

It’s a different story today. The bar in software engineering has grown so high that it’s hard to see your own small efforts as worth anything, because you’re used to all these polished, professional programs. [...]

A lot of people make fun of vibe coding, but I think it’s a wonderful way to find joy in programming. It makes you feel like you’re doing something relevant. It allows you, as a new programmer, to do things that you would otherwise have a really hard time with.”

https://www.zdnet.com/tech/linus-torvalds-ai-coding-programm...

Relevant https://news.ycombinator.com/item?id=50151036

> The average utilization rate of inference GPU cards is not that high (i.e. it peaks during the daytime, but is idle at night). So the time window for earning $38/h is fairly limited.

In DeepSeek's case this kind of levels out because they have a large user base both in China and the West (time zones), and additionally attract users in the non-Chinese timezones using their off peak 50% discount which is what DeepSeek talks about here.

> B. They are renting costly GPU capacity from 3rdparty hyperscalers because they can't meet the peak demand with their own hardware.

I looked this up from Chinese sources and DeepSeek primarily builds their own compute infrastructure rather than renting it

> C. Free-tier users are eating the gross margin. > D. Subscription users are eating the gross margin.

That's true, but given how lucrative inference at API rates is, they can subsidize training and individual users to some degree. Are they still losing money overall? Not unlikely, but with moonshots that is often the case. Remember that Uber and Spotify took around 15 years to have their first profitable quarters.

No, those $3 are on the high end. If you do not factor in hardware depreciation, at China's low electricity prices (largest variable cost and China has a surplus larger than many country's entire consumption) and with GB200 which is one of DeepSeek's main platforms, the operation cost is actually less than 50 cents per hour most likely. If you factor in hardware depreciation this rises significantly but almost certainly stays under 3 usd per hour, probably closer to 2.

Orinally it was an educated guess based on rental prices I've seen but Opus 5.5 and Gemini 3.8 Flash both arive at the same numbers based on DeepSeek's Zhihu post and GB200 specs. Around 30 cents before depreciation and $2 to 3.50 including it.

At off peak pricing, which is substantially lower than the standard API rate (50% off). So I assume it looks even better financially overall.

Quick numbers:

At $35/hour in net cash generation per card, a $30,000 GPU would pay for itself entirely in about 850 hours (roughly 35 days)

With an assumed ~ $3 operation cost per card and hour

It is, there are lots of European launch companies that will have their first launches in 2027 and all target cheap launch services which is the key to Starlink. Isar Aerospace has already put a payload in orbit, but they are only one of many.