The summary says: "Microsoft also addressed three zero-day flaws, including two that are already being exploited in the wild. "
(scratches head) How can a flaw be called zero-day and already be exploited in the wild?
Because a zero-day is any flaw made public before the developer knows about it. One of the main ways this happens is by noticing that hackers are breaking into systems using a heretofore unknown exploit.
I'll be charitable, and assume you know the difference between a dark surface and a surface that happens to be in the dark.
I have a physics degree and I was aiming for a +1, Funny. I guess since we're joking about global warming, it counts as "dark" humour.
Outer space is OUTSIDE of the United States.
Your statement would apply if these data center space nutters could certify that everything they launch will reach escape velocity.
For everything else, what goes up, must come down. Right back into our jurisdiction.
We can't afford to let the success of big tech companies depend on the health of fragile meatbags. We need to get resilient, fault-tolerant AGI in there running the enterprise. Also, unlike meatbags, you don't need $100M stock payouts to convince an AGI to work as a corporate executive.
They've already dealt with this. If you read the fine print on these agreements, many or most of the recent ones say that the company has the option of rolling up any "substantially similar" arbitration cases into a single mass arbitration. (Which as usual, is decided by a person whose paycheck ultimately depends on the business of that same company.)
It might be more productive to have third party labs document PFAS contamination of foods and then file a class action suit over the contamination.
Sorry. When you signed up for that discount card a few years ago, you agreed to individual binding arbitration only.
Machine learning/AI models to help with this are quite common in this field, and have been around for decades to help with spectral library lookups - long before the current LLM hype phase.
Yep, I once worked with NIR spectrometry in the paper industry around 2000. The company developed a kind of robot that measured various qualities of pulp and paper in realtime at paper mills. I was more on the hardware side, and I was kind of annoyed when they wanted to switch to spectroscopy for everything and ditch our nice old mechanical robots, parts of which I'd developed earlier. But at the same time I was excited about the ML and pattern recognition bits.
Disc space -- the final frontier!
