This is a kind of nasty tradeoff in space. You can dissipate entropy per unit time from the same radiating area if you use a heat pump, but the heat pump itself uses power even if it’s perfect and operates at the Carnot limit, so you need a larger solar array.
There’s probably an optimum that involves a heat pump, but I don’t think it’s vastly better than not using a heat pump, and it’s certainly heavier and more complex.
Wow, what a bug. I expect the exploit is literally as simple as trying to ssh in as a user with the password has ‘*’ in /etc/shadow and typing anything as the password.
To the extent that systems that are configured in the vulnerable manner exist in the wild, I’m surprised they weren’t exploited years ago by trivial ssh bots.
P.S. Wow, I’m reminded of just how awful traditional UNIX-y C APIs and code are.
P.P.S. The musl code in question is nuts. The API it implements is awful. Seriously, here’s the manpage:
Do you have a list of the publicly discussed or fixed ones?
(As someone who used to handle nonpublic Linux kernel security reports and is still very interested in this stuff, I’d love to review a small sample of these reports to get a feel for what kinds of issues are being unearthed.)
Also, please don’t stop at LPEs and information disclosures. If you find cases where Linux can be convinced to misbehave or where the implemented semantics don’t make sense, these are good, too. I’ve found plenty of interesting kernel bugs, including some juicy LPEs, and almost none were memory safety errors :)
Intel had multiple false starts on getting their platform ready for these devices to be used in a sensible manner. I have one of these false starts in a closet somewhere, and I did some kernel dev work for it. It was an incredible mess.
(I didn't actually have an Intel DIMM module -- I had a different vendor's. But fundamentally there needed to be a clean way to get data from software into the durable memory domain, and there wasn't. There also needed to be a clean way to talk to the module to get health information and to configure it to the extent it was configurable, and that didn't exist either. I wrote the kernel driver for the latter and submitted it upstream, and it probably could have gotten merged if Intel had assisted with the gnarly bits involving coordination with platform thermal firmware that shared the same SMBUS lines, but they didn't.)
If Intel had volume production of Optane and had been able to quickly reconfigure it to produce a device that could stream out model weights fast enough for inference or could have gotten a read-write device that could hold KV caches effectively, they could have made an absolute killing in the current market.
HBF is slowly going after the former market. I'm not sure flash has a great answer for the latter due to endurance issues.
I can't think of any company that is as good as Intel at having a technology that's ready or almost ready at or before the time that the market is ready for it and then completely failing to sell the product into the newly developed market.
But that requires kernel.unprivileged_userns_clone=1 as well as manually setting up ipvlan interfaces and new IP address/routing table, whereas firejail is SUID root and makes the same operation trivially easy.
What they do not have is a version of chatgpt.com that is not a slow, awkward, glitchy mess.
As a user of Astra, it writes code that appears to work. It does not necessarily write sensible code that is architected in a way that makes sense based on what it does. I just watched it do a major rework of a couple thousand lines of code by keeping the original organization and kludging up an adapter to make old code have new semantics.
I would expect that this approach, coupled with lots of fun asking for changes and none of the grunt work of actually thinking about the result, could result in exponentially increasing amounts of mess.
I haven’t used a recent Anthropic model - maybe it’s better at this.
Nah I made a workout app with Claude code. Today it loaded the same warmup exercise as my main block 3 times in a row. The program does not call AI to make the plan so that’s the code it wrote lol. In general though the app is good enough if you know what you’re doing which seems to be the theme with AI.
a real "galaxy brain" epiphany might come when one considers idea that perhaps we dont need software to exercise
just exercise. it will be ok, really. somehow we managed for millions of years, kiddos, and both gravity and the human body are unchanged in any relevant way since which suddenly requires "an app". I can get out of bed without an app, or an AI. I can prepare a meal and eat without any kind of app, or any kind of AI or LLM. its a true and real thing, in the real world, promise!
I guess by that account: somehow we managed without computers for millions of years. Get off the internet, please.
There are tons of different conditions people are in, with different histories of injuries, etc. and even people without any issues benefit massively from having a sensible, well structured workout plan that ensures their weaknesses are addressed and they work towards their personal goals. You don't need AI, an app or a personal trainer for that but while many people do enjoy learning a lot about exercising in their (often limited) free time, many don't and it's great if they have an affordable/free option. Why do you think physiotherapy exists?
Additionally, studies have proven that progressive overload is a really important aspect for progressing, so you should be tracking your workouts in some way, in an app or on paper, to ensure you really are challenging yourself.
"AGI" is an expression on how widely the intelligence can be applied, not how effective that intelligence is. I think it's hard to argue that current (as of the last few years) intelligence tools cannot be applied generally. What can be easily argued is that we have not achieved superintelligence (where AI is better, faster, and cheaper than any human at all intelligence related tasks).
It really depends, right? For some code bases, the author would be pissed if the agent started ripping up all the existing classes. This is where judgment comes in and why you and I are still employable.
I don't know what curse is on my openai account. Since ChatGPT 4o their desktop app does that weird extreme lag slow down in almost any sized chat other than completely new, like 1-2 messages deep. I changed some settings, the problem got better and then immediately broke after they released the codex app(new chatgpt app). It is literally completely unusable on Windows, apparently works fine on mac for my friend. Never had this issue with anthropics desktop app.
Do you have a lot of past chats? The desktop app has been unusable for me when I had more than 20 chats in the side bar. Deleting / archiving fixed most of the lags for me.
Strangler pattern can make sense for that, and that may involve that kind of adapters. But it also involves actually finishing the job and make certain new semantics go through the whole thing and restructuring until it makes sense.
My laptop is shockingly competitive with my quite nice workstation.
(IMO the really impressive part is the thermals. My laptop can dissipate some 45W on a sustained basis, and my workstation takes quite a bit more than 45W to outperform my laptop.)
> A clear example is Google. They can easily give all compute to Deepmind, yet majority is allocated to be sold at market rate.
Google is in the business of buying compute and renting it out. To the extent that their internal use reduces revenues from that business, there is an opportunity cost.
The getting-the-car-over-the-barrier one looks particularly simple. It’s hard to see from the animation, but the obvious solution is to back up then drive forward. I’m not remotely surprised that Astra can figure that out, and I’m also not particularly surprised that Astra can come up with weights that do this.
There’s probably an optimum that involves a heat pump, but I don’t think it’s vastly better than not using a heat pump, and it’s certainly heavier and more complex.
reply