The EU has no real reliance on US military might. Russia has been shown to be a paper tiger and the EU can use Ukraine as a proxy to cripple Russia while keeping their hands relatively clean.
I wish you were right, but look at Ukraine's desperate requests for Patriot missiles and Switzerland letting the US screw them repeatedly to get F-35 and Patriot.
Patriots are a big issue now, but they are also for the US after the Iran war. You now also see European countries starting to European alternatives as a result (e.g. SAMP/T and IRIS-T). While these are also still low(er) volume, the EU controls its own destiny by switching to alternatives to US systems.
Russia went into the war with armed forces that turned out as you say (possibly except the nukes, hard to tell unless they attempt to use one); the war forced them to develop substantial drone and anti-drone capabilities that the EU nations are not yet in a position to counter.
Yes and no. A lot of the drones are developed by Ukraine in cooperation with companies in EU countries and production facilities are being opened quite rapidly in European countries (e.g. VDL in NL, Innokas in Finland). The EU is pumping a lot of money into Ukraine and we learn a lot from Ukraine.
This is the way if you need speed. It costs a little bit in smarts, but compare the MTPLX option listed above with the oQ4e-mtp quant using oMLX. The good cacheing layer in oMLX will help things feel faster for some classes of tasks in my experience.
There is also a good Behind the Bastards episode about this case. Truly bizarre obsession on the part of the CEO and a completely off the rails security org doing his bidding.
Bay-area folk may be familiar with Roaring Camp Railroads up in Felton, which has a Shay engine pulling the train along the scenic tour. Fun stuff if you have any kids who like trains.
I can run qwen3.6-27b on a four year-old Macbook Pro that dominates ChatGPT-4o (the frontier model from 2 years ago) and is competetitve against early ChatGPT-5 versions. We are also getting a lot smarter about using and deploying these local models. Your entire AI stack from two years ago would be absolutely crushed by a todays local LLM models and a high-end local inference system when combined with a good modern coding agent.
Today open weights frontier models cannot run locally, unless quantization is used. Deep seek v4 pro require almost 1 TB of RAM in INT4.
I hardly doubt there will be consumer grade HW to run it in 2 years either. And deep seek v4 pro is not even close to OAI or anthropic frontier models.
I had to convert a build pipeline from just one linux distro to multiple and then get arm64 going. Not the most difficult thing in the world but quite annoying when there's 100 binaries and a complex dep tree with lots of moving pieces. Anyway AI for sure increased project cadence by at least 2x. Not sure why there's so much denial in these threads.
I can also claim a bunch of things. If you manage to read the comment I was originally replying to, and my reply:
--- start quote ---
- Just what kind of evidence do you suppose they could have?
- Showing actual improved products and features. Showing actual code. etc.
--- end quote ---
Note how you provided neither. It's just claims.
> Anyway AI for sure increased project cadence by at least 2x.
As in: you claim this. Also, no one denies that you can ship a lot of code much faster with AI. However, somehow, very little actual evidence of grandiose claims (see farther up in the context) besides anecdotal "I'm so faster and features are being shipped left and right".
Oh, I certainly believe this. LLMs tend to be quite good at the: I'll give you a well-designed example, now extrapolate to other cases-cases.
I think it's a great example of using LLMs effectively. In the end becoming more productive is understanding where LLMs work great and where they fail miserably.
But it is a step similar to, say going from assembly to a higher-level programming language, not the silver bullet that AI astroturfers like you to believe (fire all the programmers to buy more tokens!)
I am amused that you think IT is going to respond to an unmanaged LLM tool that operates outside of the LLM policies all serious enterprises have set up by now and say 'wow, that is cool and maybe we should buy in to this!'
What is going to happen is that the emplyee who tries to sneak OpenAI into our org is going to have two meetings set up by the end of the day, one with IT to ensure the whatever tool they installed is burned out with fire and one with HR to ensure they know the company policy and acknowledge that another fuck-up like this is a firing offense.
Isn't that exactly how the iPhone won though? As another commenter said, once the cool gadget becomes a must have for executives, IT will be told to find a way to make it work.
Phone jammers are illegal because they are broadcasting into regulated spectrum. There is no such spectrum regulation around audio transmissions. I will not say one way or another if this device actually works as adertised, but particularly if the signal is outside the range normally audible to people there should be nothing illegal about this device.
Gelatine melts at a lower temperature and has a much better mouthfeel for most of these traditional recipes. It is creamy and adds body to a stock or sauce. Agar is brittle and requires a higher temperature to set. Agar would be a good choice for something where you want it to stay in a particular shape, but it is much more of a one-trick pony when it comes to cooking. Each can act as a poor man's version of the other, but neither really hits the same features as the other.
Agar is great for a gel, especially one you want to stand up to a bit of heat and remain stable at room temp, and I would always reach for it instead of gelatine when doing most desserts or pastry work. OTOH I would only use it in a sauce if I needed to accommodate a vegan guest.
> I would only use it in a sauce if I needed to accommodate a vegan guest.
As an alternative, I've found methylcellulose to be pretty good for thickening my vegan homemade sauces (mainly tried it because I use it for other stuff, like fakemeat homemade protein sources). That's for homemade mayo or the like; for sauces in stews and similar, flour does the job - though US cooks seem obsessed by cornstarch instead for that use case.
They are ‘obsessed’ with cornstarch instead of flour because cornstarch is almost pure starch and doesn’t add a flavor the way that flour does. It shares that property with methylcellulose.
Definitely a blast from the past. One of the things that made PipeNet very interesting compared to its contemporary peers (e.g. onion routing) was that it used fixed size pipes with constant traffic. An observer would be unable to know when traffic was being sent down the pipe so correlation attacks become significantly more difficult. Pair it with some probabilistic encryption like Blum-Blum-Shub and you can party like a late 90s cypherpunk.
