That’s what happened in US manufacturing. It’s now 20-30 years down the line and the economically important US manufacturing sectors, like defense, are scrambling to hold onto institutional process and trade knowledge as the final remnants of the old industrial system retire. We all know how useful someone with a fresh comp sci degree and no experience is in a real dev environment. Imagine the leads showing them the ropes graduated two years prior?
I've put Grok 4.7 on the Redactle LLM benchmarks. It's a bit of a silly eval since it's a puzzle game but it tests omniscience really well.
Grok 4.7 is near the top of the board. A significant improvement over Grok 4.6 but still not as good as Gemini 3.8 Flash which is very cheap and fast too.
My theory is that people run into the inevitable difficulty of math and rather than look inwards and come to the conclusion they aren't as smart, or special as they once thought, they blame "the system". It can't be that they haven't tried hard enough or aren't smart enough, it's the gated community who hides behind esoteric jargon that stops them from being successful in their mathematical studies.
They believe this despite the fact that there are a million different textbooks, all explaining the same concepts in different ways, or different branches that specify the same structures with unique methods. It's really strange when I read threads like this. I'm not the greatest at math either, but that's because it's a hard thing to be good at.
To learn math is an exercise in humility. You must struggle hard, do hundreds of problems, spend years refining your understanding, redoing proofs, finding counter examples, just to be at a good undergraduate level. Much harder than pretty much all CS classes, except maybe Theory of Computation, which is pretty much math.
best thing as always - simply do not read the news. take care of yourself and your family, reading the news is futile. been quite some time since "news people" reported on actual news
> Please explain how putting an upper bound on how good the strongest models can be prevents cheaper less strong models from catching up, rather than enabling it. I do not understand this argument at all.
They are not proposing to regulate only the strongest models. They are proposing to regulate all models. If they are already on top, regulation may stop them from proceeding further, but it also stops the cheaper alternatives from catching up.
If they feel they have reached the asymptote of the curve, then regulation doesn't affect them, it affects those who have yet to reach the asymptote.
It's definitely part of many intro explanations, but it sits in a weird position where you have to know MLPs well but not Transformers for this to be enlightening, which is a shrinking set of people nowadays. Either someone is a novice to all this, or know both, so beginner Transformer explanations can rarely assume deep familiarity with MLPs.
But yes, a Transformer block can be thought of as basically input-dependently deciding the weight vector of a dense layer. In classical MLP-like networks there was never any multiplication between input-dependent values (there are exceptions, like Squeeze-and-Excitation layers). Multiplication is always between parameters (that don't depend on the input) and activations that depend on the input. With Transformers attention provides a lot of multiplicative interactions between input dependent activations.
Also obligatory: Schmidhuber talked about this a long time ago.
Canadian pharmacies pay Canadian tariffs. Americans pay American tariffs. American importers are no longer exempted from paying American tariffs applied by the US government for goods de minimis goods they import from Canada.
This post is about American importers no longer having exemption on tariffs they would have otherwise paid to the US government.
At no point has Canadian pharmacies ever paid American tariffs. This is fiction you invented.
This so much, I'm (mildly) surprised at how quickly the news industrial complex did a 180 to revere and repeat the new boss, same as the old boss. I'll continue to pray we don't get fooled again
If enough people are buying a certain car in your country, you can't go too wrong with it. So even if BYD turns out to be less reliable than Toyota, maybe the price is so much lower upfront that it doesn't matter. The much scarier thing is buying a "reliable" car that nobody knows how to repair.
Trump is trying to trade the petro dollar and opec for Venezuelan oil that will tank the dollar and make debt unpayable (every advisor has said this), how he's trying to make medicine unaffordable before alternatives are ready. Sheesh.
Every use case for tarrifs include got subsidy and small trade barriers so it can grow with market share.
Apparently you don’t care that Grok’s owner bought an entire social media platform so he can advocate for “re-migration” in europe, also known as the forceful ethnic cleansing of non-white immigrants.
I personally cannot ignore that, and I will not stop reminding people of what they’re supporting when they use this model.
Before they had personal computers I always figured the established computer experts were going to get their mainframes to do AI a lot sooner than it turned out.
That was a non-starter though, not many people could afford huge amounts of hardware in a centralized datacenter where you don't have unlimited access. How was the next level of progress supposed to occur if you didn't fully own the electronics?
It was pretty impressive when it required a forklift to move the CPU, but kind of forbidding too.
PCs took over fast for that very reason and rapidly became more powerful until they were quite capable of incredible amounts of automation well over 20 years ago for so many things.
The whole time since the mainframe days the thing that has held true for AI in automation, is that it has to take the same powerful, sophisticated PC hardware that already works so well without AI, and bring that to the next level in logical progression.
No dependency on remote data, remote storage, network or internet at all. Otherwise why bother?
As long as AI can not make the same stand-alone hardware outperform what it's already capable of beforehand, there's quite a bit more work to do.
An idealized automation workflow on a new PC without AI:
Insert blank SSD > Install OS > Install automation app > Program app > Run automaton
Same stand-alone hardware, with AI:
Insert blank SSD > Install OS > Install AI app > Train app > Run automaton
If AI can't make the same hardware run smarter, it's not as intelligent as it could be, is it?
SIP is a good thing and prevents a lot of (usually PEBKAC) problems. It is also the direction where Linux is going (is now? or maybe they gave up? idk, it’s been a while since I heard about immutable distros).
For tech-aware people, it is probably not necessary indeed.
However, given that now “tech-aware” people are running completely random and unvalidated scripts w/o second thoughts (or even first thoughts actually) on their main machine, I’d say the “tech-aware” line is very very high…
My biggest takeaway (as a one man band 20 leagues below this spending time optimizing Gitlab free plan and self hosted runners): they did not worry about any of this until 100M ARR and more 1B valuation[0].
Stop rubber stamping stupidity like RFK, pass a war powers resolution, and reign in the vengeance based tariffs.