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France isn't "broke", its debt-to-GDP ratio is actually lower than the US right now and it's not in a situation where it can't pay its loans.

There is currently no real trade war EU-China; Chinese EVs are streaming into the EU while the US is blocking them completely for one example.

While Germany and more specifically Volkswagen is having some issues, EU industrial production actually had growth last year.

The $100 billion aid packages to Ukraine are also a bit overblown based on public figures https://www.kielinstitut.de/media/news/ukraine-support-track....

I feel like your comment pulls on some real threads, then blows things out of proportion.

> The US Government is not a major funder of frontier labs (who are almost exclusively VC and private money funded)...

There isn't a lot of VC funding available in Europe compared to the US, so without government intervention catching up will be very tricky.

Assuming you are right, the "build-up" of more physical datacenters isn't really the difficult part, training frontier models is. The open-weight Chinese models are several months behind frontier models at this stage and as long as you're not interested in burning cash to stay in the lead you can just wait it out. Many signs (upcoming ridiculous IPO figures and benchmarks) point to the current LLM paradigm reaching a plateau.

I think that currently the EU is focusing on strengthening itself from a military perspective due to US policy shifts, so the EU just doesn't have the funds to divert to AI without impacting day to day life of people, thus prioritizing safety and perhaps energy production, as electricity is considerably more expensive here than in the US or China. If you ask the people who vote, they'll put safety, grocery and gas prices way above EU's LLM capabilities.

You've posted a link that doesn't support your statement.

Here's the front page from 12 years ago, not exactly riveting debates in top hats.

https://web.archive.org/web/20140929012305/http://www.reddit...

https://web.archive.org/web/20140929073818/http://www.reddit...

https://web.archive.org/web/20140929232807/http://www.reddit...

This has always been Reddit, aside from the niche subreddits.

> This is YET AGAIN another Sonnet model that is just a FAR worse version of Opus at every part of the cost AND speed curve.

It's been out for an hour and you've already concluded this?

You don't have to run Claude/Codex in auto-approve mode, you can manually approve its interactions with your machine without having to copy your code back and forth between the website and your local files.

Trying to appeal to the LLM is pointless, everyone would just claim that they're working on their own code.

I've found that if you're seeing refusals and you have a more permissive model available, you can use that to find the issues and pass them back to Claude for review and implementation.

This is some main character energy right here.

While stdlib doesn't handle this, there are libraries that can support your use case https://github.com/jizhuozhi/go-future

If you only need to launch work and wait for completion, Go 1.25 has sync.WaitGroup.Go -> wg.Go(f) -> by wg.Wait(). No channels like the page says.

The $23 trillion economy "collapsing" is quite amusing.

It will lead to a gradual escalation, probably air spaces closed over Kaliningrad, Belarus and Ukraine for Russian planes and army mobilization towards the eastern flank of NATO in the first steps.

Sufficient assistance can be given to the Ukrainians without deploying troops to the battlefield so that the Russians are pushed out completely. Losing Crimea would be Putin's death knell.

Where are the goalposts for "losing"? Is "not winning" considered the same? Because the "three day to Kiev special military operation" has turned into a 5 year war with very little progress made in terms of conquering Ukraine.

There is absolutely no reason why triggering article 5 will end with nuclear annihilation, MAD doctrine remains in effect.

If the person who is charged with resolving the issue is capable, there's no point in a senior manager knowing the details outside of professional curiosity.

Don't reach out to random strangers on the Internet. Instead, reach out to the official support hotlines in your own country and talk to someone with training:

https://en.wikipedia.org/wiki/List_of_suicide_crisis_lines

This is another one of those "kids these days" thing based on nothing but vibes. https://www.science.org/doi/10.1126/sciadv.aav5916

I'll give you some N=1 sample on older doctors since I'm also from Romania: a lot of these older doctors haven't opened a book in a very long time and are still using older practices instead of providing their patients with the latest and most effective treatments available because they're too lazy and/or prestigious to go and learn new things. Would you say that they "into medicine"?

> Would it help if we get a lot more of the first kind of doctors?

It would certainly help hypochondriacs a lot. Ordering "a ton of tests" needs to have some basis behind it, and doing it just to make the patient "feel seen" is not a great way to do your profession. People being dismissed quickly also happens in the US quite a lot, sometimes with disastrous results though it's not incredibly common, it's typically labeled under "diagnostic error" https://qualitysafety.bmj.com/content/23/9/727.long

If the goal is to write a blog post to advertise the product, I'd ask the LLM to summarize the content a bit, as there's quite a lot of structure for very little content.

I also have a feeling that the "40k to 250k EUR" to build this is a bit exaggerated. One ChatGPT/Claude subscription and the following can put together the described system, perhaps with fewer bells and whistles:

- OpenAI Agents API

- GitHub

- CI/CD

- identity system

- MCP/tools

- an eval suite

- a small UI

If you're producing slop, the quality of the model is irrelevant as long as it compiles. I frequently catch Opus/Sol making silly errors and over-engineering solutions while small ones like Luna struggle with complex tasks.

I think highly unlikely, they'll get slapped with a cease & desist and just change the name.

Those two reasoning efforts are for entirely different classes of problems. I'd compare Opus Medium vs Sol High.

This is explained a bit in the API docs but you also have to adjust it based on your own tasks.

https://developers.openai.com/api/docs/guides/reasoning?api-...

It's not, I have a subscription to both and Astra burns usage like crazy.

How about cheaper? Astra is $10 in $50 out, Opus is $4 in $20 out. Even on a subscription you'll get considerably more usage out of Opus.

I use it frequently with a lot of success on "Medium" effort, it overthinks like crazy on higher levels, but YMMV.

The people that buy into "AGI is here" and the people that understand what Jev is and how useful it would be to hook it up to an LLM are two separate circles, so there's no "defeat" being admitted.

Not really. People follow trends in all avenues of life and AI usage is just another trend; creating some LinkedIn slop post or some infographic may be something people just do for social proof.

No word on model hallucinations in the blog post.

https://artificialanalysis.ai/models/gpt-6-astra?omniscience...

For non residential consumers electricity is actually more expensive in China than in the US https://www.iea.org/reports/electricity-2026/prices