Exactly, also the ECJ is horribly corrupt (search for the corruption scandal revealed by a French journalist few years ago). Nothing happened back them.

This will never become law in my country(Poland). Last time they tried to push it people protested in the millions.

> This will never become law in my country(Poland)

I'm sorry to tell you, but if the choice becomes lose EU funding or pass it into law, it will happen.

What? 75% people use personal chats for work? I've never seen this in my over 20 years working in the UK, Poland and few other countries.

Personal messaging apps were always banned everywhere I worked.

I have not for couple of years, but before covid I've worked in a well-known Polish company that was trying to force everyone to use at first HipChat, then some awful OSS chat. My team set up discord then.

A good example. In cases where social media are clearly intentionally harmful they should be prosecuted under existing laws.

Instead of blocking under 16 year old from social media we should fix it. Via courts if needed.

Also the CEOs should go to jail if convicted.

Recently I started getting messages from Clause Code (on a plan). "You're restoring an old session are you sure you don't want to compress the context? This will use a substantial amount of your usage quota"

So it seems they do care.

That's exactly what I said. They do care when FLOPs are involved. Restoring an old session with 900k tokens will require a lot of FLOPs to reprocess the 900k token.

Meanwhile, they don't really care if you use hundreds of millions of cached input tokens, which doesn't consume any FLOP.

How is GLM5.2 cheaper for you then Opus? I assume you're an individual so you get Max pricing like me, not API.

I have Max x5 for 120Eur a month. I use it a lot (but usually I don't multitask). I almost never hit the limits.

With GLM5.2 paying $4 per mln tokens I would be burning at least $20-$30 a day.

The author mentions lack of good Web search. I've been using slightly modified crawl4ai and searXNG together with firebase for the rare sites that insist on throwing wrenches in the works of my LLMs.

I also have my fork of metamcp that replaces firebase MCP spec with my own that tells the model to use crawl4ai and SearXNG instead.

I've been using this wia Librechat with every commercial and open weight model I tested.

The search is way better than OpenAI and what ClaudeCode uses, but Gemini is way faster. That will change soon as I'm planning to put these instances in a DC with gigabit pipe.

Firebase is not cheap, but it retrieves everything, bypasses captchas and so on.... As long as one uses it for 1% of Web queries the cost is manageable.

No Eu wide bans, but quite a few in some EU countries: https://en.wikipedia.org/wiki/List_of_books_banned_by_govern...

According to that list, in Germany unannotated editions of Mein Kampf are still banned.

Seeing it in the flesh is the reason why I don't believe too many people actually read the original (and not the abridged version).

It's a brick! And poorly written at that. The man had no talent for the arts.

Wouldn't something like a book of child pornography be banned in the EU?

That's not true at all, for example in Belgium, any book that discredits genocide, incites to racial hatred, or shows sex with minors is banned from sale and/or possession. Then there's also moral rights infringement, such as obscene parodies of Tintin, books explaining suicide methods, etc, etc.

I have to see I'm in the rtx camp. A dual rtx3090 workstation with 200G of ram and zen5 9950x cpu. All watercooled.

The only reason I can tell it's on, is the very quiet hum of the slow speed water pump. Large fans run at 1200rpm and are fully quiet.

I have over a meter of radiators there.

Fun fact, I bought my first rtx3090 4 years ago. A year ago I bought another one and they are still the same price used.

I may buy another one (for my servers)

Serious programming is dealing with a large knowledge surface area.

So not "implement me a shading algorithm"

But more like: make an multi user app running on a k8 cluster, design the whole thing to be indempotent, scalable, easy to deploy remotely via ipmi/pxe boot.

Then see how it makes stupid mistakes along the way.

Today's AI is pretty amazing when it comes to fixing narrow problems (or creating Web apps with no infra). Give it anything where it needs to go online, download some helm templates and look through them to figure out parameters, as well as write an app and it will make lots of mistakes in seemingly simple stuff.

Opus seems to be the model that works the best with this.

I think there is no reasonably priced machine you could run locally to do serious work with LLMs...

10x rtx6000 Pro in a large workstation is probably the way to go for someone wanting to run GLM5.2.

Other than that it is cloud.

As good as these small models got we are still not "at breakeven" for me.

What is "breakeven" with LLMs? For me it is when I no longer have to read the actual code it wrote. I can trust that if I told it to implement and document a certain architecture it actually did that with no stupid mistakes.

The first model ever that did that for me was the first opus. 4.4 if I remember correctly.

The second model was Gemini 3 Pro preview. For few weeks. Then it was lobotomised. I guess it was too expensive to run and they quantized it too hell.

Only Opus remains. If this GLM model truly rivals even an old opus I'll be very happy when day comes that I'll be able to run it locally.