So is this about temporarily overclocking some cells that would then return to a healthy baseline before collapsing back after the overclocking agent is gone? Why not just do 500mg B1 HCl IV then for a comparison to see if this was just a metabolic block?
Things can always get worse; everyone has a threshold in what level of dirtiness is still okay. As Android security director he might have seen some incoming things he can't ignore any longer.
Wouldn't simple (political) ponerology describe why does this happen to companies? It's the source of "hard times produce strong people, strong people produce good times..." cycle, and the observation that people who want to live easy lives embracing dark triad patterns slowly rise to the top, gaming perf stats, "playing the game", transforming the company/society underneath in the process.
This smells like an advanced version of corporate espionage. Assuming most companies will use their AI in the future, this will be fed directly to an Echelon-like network that will be leaking "interesting info" to friendly parties, like the Boeing vs Airbus scandal that was first widely reported and then swept under the rug officially.
So people are pushed to their limits at work, but a university neuroendocrinologist suggests living a relaxing life that would require blander diet. What a wonderful solution!
Not sitting in a noisy open office surrounded by colleagues that hate and backstab each other but instead at home seems to me like a major mental health win. Instead we got "remote work bad" study... Feels like another soft science "desired outcome" result.
> GPU compute (not rasterization) it’s between an M4 Pro and M4 Max without considering bandwidth
You are likely thinking about token generation which is dependent on memory bandwidth where Apple has an edge. Spark's GPU compute is way higher than even M5 Max (17 FP32 TFlops), around 2x FP32 TFlops... It's literally 6144 CUDA cores like desktop 5070, slowed down by slow memory and lower TDP (29.7 vs 31 FP32 TFlops on 5070).
NOKIA was the only competitive/innovative EU company until US funds with high stakes in MS bought it, planted their trojan horse of a CEO and made it into a headless chicken sacrificed for a chance of MS to stay relevant in the mobile industry.
OK, so a bunch of larger behind-the-times EU tech companies get a few billions over a few years. So what? If they were capable of executing before, they would have been competing already. Some bureaucrat is not going to conjure up desired qualities.
Ebola is a bad example as the easiest way to prevent it is to ban bushmeat markets (or at least some types of bushmeat), but for some reason that's never discussed.
95% income tax would remove any incentive to go above and beyond and you end up with collapsing economy where everybody is doing the bare minimum. See Soviet economy outcome and tofu dreg buildings.
> “speak the language” of the concepts the LLMs have produced
LLMs don't produce concepts, they just predict next tokens; they can't invent new concepts, only synthesize what is in their probability distribution already. They can mix/fuse vast areas of math together that are inaccessible to individual mathematicians, but can't create new concepts not present in their probability distribution.
I am wondering how many of these originated from Covid messing up the weakest parts of the body forcing generation of autoantibodies against them by the immunity.
Can you run batch processing with the same settings over a large sequence of images like in Lightroom as well? And/or make slight changes to some parameters at certain points of time like correcting light intensity during sunsets the transitions smooths when your hardware made a step change when capturing it?
My worst interview was bringing my interviewer to a state of shock and hyperventilation from pointing out an error in their math formula they confidently showcased after telling me my prior answer was wrong. 10 minutes of intense breathing with a shocked expression on their face appeared, I was worried the person would collapse in front of me and didn't know what to do. In the end the interviewer collected themselves and told me they knew from the start I was right and were just testing me. And I instantly knew I failed that interview loop.
Not as bad as it is now. All I see are suggested posts from people I never connected with and those are full of instagramesque self-promoting banal vibes.