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Comment Re:Does this mean it'll stop sucking? (Score 1) 27

I found GP2.5 to be great at academic-style research and writing; it was absolutely awful at writing code. So; I would tell it to plan some thing for me and write it in a way that could be used by another agent (Claude Code) to build the code to do the thing. In this way, it has been great! I haven't yet attempted it with 3.

That said, I found GP3.0's page to be hilarious:

It demonstrates PhD-level reasoning with top scores on Humanityâ(TM)s Last Exam (37.5% without the usage of any tools) and GPQA Diamond (91.9%). It also sets a new standard for frontier models in mathematics, achieving a new state-of-the-art of 23.4% on MathArena Apex.

It then proceeds to show, lower down on the page, an example of what it can do, by showing off 'Our Family Recipes". If there's anything that touts PhD-level reasoning and writing, it's a recipe book.

Comment Re:The problem with SAS (Score 1) 27

SAS has been dead for 15y; it started with R and then Python absolutely destroyed it. No one teaches SAS in universities any longer, why would they? It's terribly expensive and absolutely fucking dead.

We migrated away from SAS back in 2017 and never looked back. The only verticals still using it are heavily regulated and running long-standing legacy code that they're slowly migrating to Python.

I remember absolutely dying when they tried to renegotiate our contract UP back in 2015. I flat out told them they were dead and we were moving away from them and they told me, "good luck managing your data without us!"

Two companies and 10 years later, we're doing just fine and they are not.

Comment My takes on this presentation (Score 1) 6

1. There are a lot of empty seats; a lot.

2. The demo wasn't live, likely due to the huge failure of an event that the Meta one was.

3. They noted that you do all of this 'hands-free', likely an intentional knock at Meta's offering.

4. The examples were...odd. Who the fuck is going to be using this to shop for a fucking rug? Come on; give some real-life examples that are IMPORTANT. None of these were.

5. The entire presentation's style, across multiple different presenters, was...exhausting...halting...jarring...and...really undergraduate level. It was almost as if they were being fed what to say in their earpieces, not from memory and not in a fluid and practiced way.

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Personally? I love the idea of AR glasses that work well. I want to have live subtitles for humans talking to me as I'm hard of hearing and hearing aids do not work well for me, particularly in public spaces.

I want it to give me important information, respond to my environment in ways that are useful (telling me where I am really isn't that; I know where the fuck I am--tell me what I should be doing or where I should be going next, perhaps?)

I know these are early adopter level devices, but they're just fucking ugly due to their bulk.

I strongly prefer this option to Meta's simply because I don't have to do stupid fucking mime-style hand gestures, but I want this technology to be useful, now, not in 5 years. We're going to see this largely flop just like so many other AR/VR toys out there unless they make this something more than a gimmicky piece of shit.

Comment Re:Complete failure all around (Score 1) 140

You clearly do not live in the US. The legal system does NOT do anything about anything (other than child support and alimony) as outlined in a divorce decree.

And, even if they MIGHT do something, you have to wait 12+ months to get on the court's docket, paying thousands of dollars to glorified expensive secretaries in the process while you wait.

The entire system is fucking broken.

Comment Virtual batteries (Score 1) 76

the core challenge of renewable energy is it's inconstancy. Physical batteries are a bandaid and long distance grids are a council of despair. The real solution for reliable renewable energy is to just build out four or five times the peak load. Then when it's cloudy or not windy you still have way more power than you need to supply the peak load. But of course this has the problem that you just spent four of five times as much capital. And that's a non-starter. But the easy, though bad solution, to this is bitcoin batteries. Just mine bitcoin with the excess and shut off the mining when it's cloudy .

Now along some AI. What a match made in heaven. A completely portable task. Move the calculation to whatever data center currently has power whether it's Norway or Texas. You can soak up all that excess renwable power. Plus there's plenty of non-real time batch jobs you can run that can adapt. For example training.

Perfect.

Shame the US decided to lose the AI power race by nixing renewables

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