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Comment Re:An AMAZING number of flaws (Score 1) 76

It's bad, but Microsoft has a awfully large number of lines of code to run through Mythos or whatever (whether they need that many is a whole other discussion). A more useful metric on overall code quality would be how many bugs are being found per 10k lines of code compared to their peers (including FLOSS); e.g. if Microsoft ran 10m SLOC through Mythos to get those 570 bugs, and a smaller project ran 1m SLOC and got 57 bugs, then you could reasonably argue that their code quality is about on a par with the smaller project. It's still Apples to Oranges though, because some coding solutions are going to be much more challenging to code, and therefore more likely to contain bugs.

On the upside, we're probably going to get several months of this while everyone with access to Mythos et al runs their existing code through it and integrates into their release processes for new code, and the end result will be things being much harder for all the bad actors in the world. Even if you don't use the improved code yourself, that's hopefully going to have a significant impact on the number and size of all the botnets out there, and that's a net benefit to everyone apart from the bad actors.

Comment Re:American Open Weight Models (Score 1) 109

Wait, what? They're *making* money now? Last I heard they were still playing shell games with pretend money in a financial merry-go-round of pinky swear deals to make it seem like they are somehow not haemorrhaging quite so many hundreds of billions of dollars as they actually are to try and keep the VC funding flowing in.

The AI endgame, sure. That's totally going to be the kind of bait and switch that Google pulled when they transitioned from a search provider into an ad provider; get everyone hooked on your services, then monetise all the data you've captured and start cranking up the token fees until your customers (only they are actually more your "product" now) squeal, then turn it up some more while offering a rent-seeking subscription model that looks like a good deal until you realise (too late) what they've buried in the small print.

Drug pushers are probably looking at the tech industry in awe at this point.

Comment Re:wow, clever. (Score 1) 50

Previous planetary probes have done figure-8s around the Earth & Moon to build up velocity before heading off for their target planets, so you could possibly do something similar with this to shorten the transit time; a few laps to provide initial acceleration to escape velocity, then coast to Mars using the panels to keep any systems ticking over and batteries topped off. Mars orbital insertion might need a little thought as to how to manage deceleration, or a secondary means of braking propulsion, if you can't do that using Mars' gravity alone though.

Comment Re:ok (Score 1) 20

There are at least a few teams out there doing just that. In this case, finding software bugs, get one LLM to look for potential bugs, and use a second independent LLM to try and validate the potential exploits it finds / develop a PoC. Depending on what you are doing and how critical/sensitive the code is, you could also add more independent LLMs in each group to provide additional layers assurance before any output is passed over for human review.

There's also supposed to be a training loop with LLMs, so you should be flagging any false positives and feeding those back into your model so that the quality of findings improves. The current versions of Mythos/Fable might not be perfect, and probably never will be, but with a few more iterations Anthropic should be able to decrease the FP rate considerably, and ultimately that's going to be a big win for everyone with an interest in bug & exploit free code.

Comment interest to hear how they define the tools. (Score 1) 56

I think I still agree about what this article says about "user interfaces", even if the word user has lost the connotation of 'human' it used to have.

But if you are an actual flow user who actually needs to get something done, WA could give you an alternative, manual interface for selecting your tool. You might perform the discovery task by browsing, say, a good old-fashioned menu. For example, the Nutrition Facts tool might come with its own URL, which you could bookmark and navigate to directly. There might even be a special form for entering your recipe. Yes, I know none of this is very high-tech. (Obviously the coolest thing would be a true command lineâ"but the command line is truly not for all.)

https://www.unqualified-reserv...

btw, I am astonished that there has been almost no progress in designing interfaces to be used by programmers.

Comment Re:Industrial scale (Score 4, Insightful) 74

Espresso is a base for other coffee drinks, hot and cold. Putting a shot of room temperature espresso from a dispenser into one of those is going to save quite a bit of both time and money at the scale of something like a Starbucks franchise, and if you're getting your coffee from that kind of chain you're either not going to notice any difference anyway - or deny ever being there in the case of the coffee snobs. No more scooping grounds, prepping the machine, and forcing hot water through the grounds into the cup; the barista just shoves the cup under an optic, pushes a button, then moves onto the next step.

The real savings though are going to come for the manufacturers of those pre-bottled coffee drinks you find in the chillers at supermarkets; that's the kind of scale TFS is alluding to; where the coffee is brewed in industrial sized vats. Especially so if the concentrate approach is viable; add one 10L (or whatever) carton to your vat, then dilute with whatever milk/fake-milk/water/flavouring combinations needed to assemble your pre-bottled coffee-based drink. Coffee snobs are not admitting to buying those either. Also, as a side-benefit, there will be less waste as the grounds will be processed centrally so can be collected and fed into a suitable secondary product - they're excellent for providing fertiliser for some plants, for instance.

All of which probably saves you enough power and money (globally) to run a single AI data centre for a few minutes, but such is the price of progress I guess. :)

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