No, the one that answered:

"You know what he means, ahole. If this were truly a problem the jet fuel would be rationed and private aircraft would be at the bottom of the priority list"

The entire point of rationing would be to REMOVE the pure market forces that would deal out the limited commodity to those with the largest wallets and replace it with a scheme that benefits the most people, instead of the most money.

If you actually knew better, you'd have posted it, not just made a vague assertion.

Yes, and the only ships running on nuclear reactors are military ships. As I said: No civilian use-case.

This is one AC that deserves to be modded up. I already commented, so I can't.

You are aware of what happened Oct 7, 2023, right?

Actually, islamic fundamentalists qualify for that statement in absolutely every way. So at the absolute minimum you'll have to concede that there are two fascist sides.

For sufficiently gracious definitions of "working". Iran was quite busy building up conventional weapons including delivery systems that could be re-purposed for nukes as well as moving towards nuclear weapons. There is no civilian use for 60% enriched uranium. Moreover, the number "60%" is misleading. The work to enrich isn't linear. When you have 60%, you're not 60% of the way from raw to weapons-grade, you're 95% of the way.

To put into context just how insane any claim that they had 60% for any peaceful purposes is: Most nuclear reactors use uranium enriched to 3% to 5%. 60% isn't "a bit more than usual". It's a fuckton more than any non-weapons use can reasonably explain.

Iran didn't need a reason. We all know the reason they already had: Wiping out Israel.

And no strike or other interruption has ever made them learn that JIT isn't all flowers and happiness and moving your warehouse to the road has more consequences than cost savings.

...the country where you can buy firearms at Walmart wants to restrict 3D printing because they worry about gun parts?

What drugs are these people on?

First... We can't release this model because it doesn't work

Second... We need to convince the Christian right that they should use their influence to force this tech down everyone's throats.

Anthropic is going to go public, but this should be considered gross negligence because they are knowingly asking money for something they know can only decline.

Try the open models and tell me that they aren't good enough to replace Anthropic in 95% or more cases already. And how will Anthropic compete with free?

Why open models matter? Well, it's only a matter of a few years before even miniscule devices will be able to locally host AI.

Here's the next thing. You need to see AI as an onion. Neural networks are a series of layers. Last week, I was playing with running layers at differing cost levels of hardware. I uses a cluster of H200s for the outer layers and I used <$100 AI accelerators for the inner layers and I used an RTX3090 for the middle layers. I then tested coding and general nonsense like "what eyeshadow matches these earrings" questions. 85% of all questions were answered quickly on the $100 accelerator. 99% were answered with the cheapest two options. And remember, I wasn't running a small model, I was running a gigantic model sharded across a $100 device, a $1000 device and a $500,000 device. I reduced usage of the $500,000 device to almost nothing. I managed to achieve the same results at about a 20% performance drop on a 1 trillion parameter model while increasing compute density of a cluster of H200s by 100 fold.

So, what this means is that using extreme MoE models sharded properly and adding what currently is a $100 accelerator and soon will be a $5 accelerator and a thin layer in-between, assume a single RTX3090 class card for 1000 users (500 for better performance).... the case for massive inference data centers is screwed. Give me a grant and a few months, I am 100% sure I can get efficiency closer to 10,000x rather than 100x better. And no, this is not exaggerations. I would retrain the models to be spread across more... thinner layers with a LOT more experts. Of course, retraining something on the scale of a $1 trillion parameter model is expensive. What's great is, there is true value in China footing the bill for this because cutting their dependence on gigawatt data centers filled with NVidia and tons of HBM memory (possible literally) is a survival requirement.

If there's anyone in China reading this, take Qwen or Deepseek, spread them REALLY REALLY thin... then distribute the layers and open the weights. You'll make it so that companies like Huawei and the others can layers locally on devices as small as ESP32 and the distribute the layers outward. It was LM Studio's magical cross platform sharding which got me going on this. It just works. It's so simple. It just works.

It doesn't matter if it's Google, Meta, or Apple, it will happen. And the government will LOVE IT. Because it doesn't matter how good the techbro lawyer are. The government will gain access to the data. It would save many many billions in surveillance. It would place the burden of law enforcement on the techbros and they'll pay the price gladly for access to the personal data.

And if the heads up thing isn't good enough, expect everyone to start wearing cute hairclips, headphones, etc... that do the same thing. Glasses are nice for people like me. And the best part is, I would be the best of the assholes because I generally wear my glasses facing the ceiling until I need to read.

It's coming and it will be here soon. I believe even now, I could probably make a video capturing hair clip with android integration and all the fun stuff for maybe $25. And I'm sure Zuck can do it cheaper.

I think it will be funny when it becomes normalize for old men like me to wear hair clips

Well yes, if you put it that way. There is money in ignoring the AI hype if what you are doing works better without.

There's no money in being an AI sceptic in the way that as an AI hyper you can write articles, give presentations or brag about your startup.

There is, however, another market that moves faster than that one: The CEO market.

Any CEO who said "we don't do AI here, that's all bullshit" will find himself on the job market pretty fast in the current mood. So, everyone does AI. Not because it works as a business decision, but because it works as a job security decision.

see also: "Nobody ever got fired for buying IBM"

So called "AI insiders" are almost exclusively people for whom AI is either an active research subject or a business opportunity. There is almost no money to be made from being sceptical about AI. Of course these people feel positive about AI.

The common sense opinion here is more reliable, even if it is less informed.

Go always seemed like something of a niche language to me. Some DevOps folks, and especially people working on cloud-native infrastructure like Docker and Kubernetes, and the tools designed to run on top of them, seemed to love it. I never really heard of it catching on outside that niche, though (except within Google).

Correct. The TIOBE index is currently compiled from results from 25 search engines. You see this in the way the rankings bounce around each time they report them, seemingly with no meaningful explanation. That's why TIOBE always has been and always will be a crappy indicator of which languages are the most used ... especially now that more people are using AIs instead of standard search engines to ask their questions.

However, the index looks like statistics, which makes it attractive to journalists who cover tech. That means it's useful for getting TIOBE's name in the press. (TIOBE is a software quality measuring company),