Artificial Intelligence (Previously "Chat GPT")
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@Kirwan said in Artificial Intelligence (Previously "Chat GPT"):
WTAF
Hard to know what to make of this. Is it legit in its accuracy? The comments seem to sway between believers and the rest.
If real, man the implications for energy usage are just nuts.
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Ignore the headline - read instead about how very few people are employing technology correctly but the ones who are can benefit.
MIT report: 95% of generative AI pilots at companies are failing | Fortune
There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.
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A bit of a Doomer take, that's all implementation details and in some part that's open slather already before you consider AI. That's why Apple use privacy as a marketing ploy against that trend.
We are in the goldrush stage, and once actual products come out of these things (still smoke and mirrors really) then people will start taking security seriously.
I did have to laught at OpenAI saying very clearly that everything you say to a model could be turned over to the authorities. Helpfully, in testing, the models want to the call the authorities themselves.
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Discovering new solutions to century-old problems in fluid dynamics
Our new method could help mathematicians leverage AI techniques to tackle long-standing challenges in mathematics, physics and engineering.
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Using AI to understand;
Google DeepMind, with Brown, NYU, and Stanford collaborators, developed enhanced Physics-Informed Neural Networks (PINNs) using second-order optimizers to uncover unstable singularities ("blow-ups") in fluid equations like Euler, Navier-Stokes, IPM, and Boussinesq. Discoveries include novel singularity families, a λ-instability order pattern in IPM/Boussinesq, and ultra-precise vorticity visuals (Earth-diameter accuracy).
These singularities probe fluid limits, tying directly to the unsolved $1M Millennium Navier-Stokes problem on turbulence and smoothness. The AI-math hybrid enables rigorous computer-assisted proofs, accelerating breakthroughs in physics (e.g., turbulence modeling) and engineering (e.g., aerodynamics).
Real-world benefits include optimized aircraft/car designs for fuel efficiency, improved weather forecasting via better atmospheric models, enhanced biomedical simulations of blood flow to aid cardiovascular treatments, more accurate ocean current predictions for climate and shipping, efficient petroleum extraction, and pollution dispersion modeling for environmental protection—ultimately enabling safer, greener technologies where traditional math falls short.
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@Kirwan said in Artificial Intelligence (Previously "Chat GPT"):
Using AI to understand;
Google DeepMind, with Brown, NYU, and Stanford collaborators, developed enhanced Physics-Informed Neural Networks (PINNs) using second-order optimizers to uncover unstable singularities ("blow-ups") in fluid equations like Euler, Navier-Stokes, IPM, and Boussinesq. Discoveries include novel singularity families, a λ-instability order pattern in IPM/Boussinesq, and ultra-precise vorticity visuals (Earth-diameter accuracy).
These singularities probe fluid limits, tying directly to the unsolved $1M Millennium Navier-Stokes problem on turbulence and smoothness. The AI-math hybrid enables rigorous computer-assisted proofs, accelerating breakthroughs in physics (e.g., turbulence modeling) and engineering (e.g., aerodynamics).
Real-world benefits include optimized aircraft/car designs for fuel efficiency, improved weather forecasting via better atmospheric models, enhanced biomedical simulations of blood flow to aid cardiovascular treatments, more accurate ocean current predictions for climate and shipping, efficient petroleum extraction, and pollution dispersion modeling for environmental protection—ultimately enabling safer, greener technologies where traditional math falls short.
Yeah, I've been spending a lot of time thinking on this recently also...
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I'm finding I'm increasingly using AI in homelife. I've mentioned medical advice before but just reinforcing that my infant had some health issues and plugging symptoms and blood results into grok gave me real peace of mind as to what the issues could be, and how likely they were. Groks diagnosis turned out to be correct once we eventually went through the system to specialists and more blood tests. I'd never say its a replacement for doctors as such but unlike googling symptoms which generally results in "you and your family have cancer and are going to die" with AI you get much better results in a format that is better than a doctors message at 4pm on a Friday saying you need to get bloodtest done in order for an urgent referral to a specialist early the following week -naturally having us freaked out.
The other area I'm finding it terrific is resolving tech issues. I know enough about tech to fiddle and get myself into trouble. I can generally nut a few things out to get a resolution but sometimes something so illogical happening (like intermittent issues) throws me completely. Just over the weekend I set up 2 wireless access points using old ISP routers to enable better comms to our garage and outdoor entertainment area. A year ago I got them kinda going, like the garage door would work 75% of the time and music streaming would skip every 30 seconds if it would connect at all. Grok was able to isolate the issue being with specific isp routers which have certain settings turned off or unavailable with crazy results being that 'some' websites worked while others didn't. Anyway I was able to bounce ideas off grok and worked out some obscure settings to change which seemed to have done the job.
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I saw a report this morning saying that the Meta data center in Wyoming will use more electricity than the entire state's houses do combined. That's crazy.
Local governments subsidising this 'gold rush' at the expense of local households is insane, the profit extraction is apparently 10:1 and very few jobs are extracted from them, so who is getting the gold?
I like the possibilities of AI but it is hardly being used for really impactful usage.
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@gt12 said in Artificial Intelligence (Previously "Chat GPT"):
I saw a report this morning saying that the Meta data center in Wyoming will use more electricity than the entire state's houses do combined. That's crazy.
Headlines are definitely on the 'big scary thing' side. AI uses a lot of electricity. However:
A 2012 report on Wyoming's energy consumption by the end-use sector showed that the residential sector used about 4.6% of the state's total generated electricity.
Edit: Of course this was AI, so the electricty may be used to hallucinate
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Even if we accept that data, That would still add 5% from one data center.
Fuck it, I checked it - 10% from residential, so this one data center adds that again.
If that cost isn’t being offset for customers (and apparently hasn’t been in other places such as Arizona), its mad that regular working class stuffs will be subsidizing AI slop.
I read that in Virginia data centers consume 40% of electricity
New antibiotic targets IBD — and AI predicted how it would work before scientists could prove it - Faculty of Health Sciences
