jpdus

germany as well. Claude down too

I think no one believes that R1 costs $5.5m from scratch. People in this project (most, not all) are very aware of the realities in training and are very well connected in the US as well. Besides Leonardo there are JUWELS, LUMI & other which can be used for ablations and so on.

This will never compete with what the frontier labs have (+ are building) but might be just enough for something, that is close enough to be a useful alternative :).

PS: Huge fan of Latent Space :)

I agree that the announcement should´ve talked more about goals and performance than regulatory stuff ;-).

But I think there is a new understanding among the bureaucracy that regulation (alone, without innovation) will kill Europe´s competitiveness and that some acceleration and cutting of red tape is necessary.

Can't say with certainty that this will be successful. But that we, as a very young startup that is barely known outside of our AI Open Source niche, are part of this, is already a sign in itself - a year ago I´d have never believed that this might be an option (and also probably would've declined if someone asked us to join a EU-funded project).

We will have engineers without a degree (but hundreds of thousands of HF downloads) working side-by-side with some of the top researchers + HPC centers.

There definitely is - but that we, as a startup that is barely a year old and not widely known outside our niche in AI dev circles and on Huggingface, are part of this is already a sign that times are changing.

To be fair: We probably couldn't have handled the paperwork without LLM´s - but due to this technology, the process was still long and involved but manageable.

(BTW: We´re hiring, if you really want to work on this ;-). As a freelancer/solo entrepreneur this will be difficult though..)

might be debatable - but I tend to agree with Dario Amodei on this; my guess is that R1 is 7-10 months behind the internal frontier at the big labs, while having a few small novel tricks. (But i might err, will be interesting to see the development going forward)

As someone who is in general skeptical of programs like this (and an European) there are 2 remarkable / timely things about this:

- This project doesn't just allocate money to universities or one large company, but includes top research institutions as well as startups and GPU time on supercomputing clusters. The participants are very well connected (e.g. also supported by HF, Together and the likes with European roots) - Deepseek has just shown that you probably can't beat the big labs with these resources, but you can stay sufficient close to the frontier to make a dent.

Europe needs to try this. Will this close the Gap to the US/China? Probably not. But it could be a catalyst for competitive Open source models and partially revitalize AI in Europe. let's see..

PS: on Twitter there was a screenshot yesterday that in a new EU draft, "accelerate" was used six times. Maybe times are changing a little bit.

Disclaimer: Our company is part of this project, so I might be biased.

Wow, actually this cookbook is really bad? I expected something like the OpenAI or Anthropic cookbooks, but this seems to be some AI generated low-quality content without any code examples or interesting examples?

The Phi-3 models are great though, especially the vision model has great potential for low latency applications (like robotics?)...

This is such a good comment and should be auto-posted to every pro-nuclear thread. I get why people want to believe in nuclear and i'd wish that we invested a lot more in development, security and scaling of this technology.... 30 years ago. Now, it's just too late and we have better viable alternatives.

One additional argument that's mostly missed: every fission reactor is only economically viable (if it is at all) when discounting the implicit state guarantee, that's necessary as no insurer will take on the risk. Adding a theoretical risk premium paid by taxpayers to the calculation, nuclear will never be competitive.

I have the same question. Noticed that Ollama got a lot of publicity and seems to be well received, but what exactly is the advantage over using llama.cpp (which also has a built-in server with OpenAI compatibility nowadays?) Directly?

Does nobody question how they get from a non-preregistered, 9-mouse study (where the treatment group gets only 6%-10% acoholic drinks and nothing non-alcoholic for 10 weeks) to this headline?

Addtionally:

> First, we did not generate offspring using the cessation males. Therefore, we do not know if the sperm noncoding RNA signature we identified correlates with changes in offspring fetoplacental growth or if the resulting offspring would develop normally. However, as significant differences in the ncRNA signature of EtOH-cessation sperm and epididymal mtDNAcn remained, we speculate that abstinence for 1 month is insufficient for the epigenetic memory of paternal alcohol exposure to abate, likely due to the ongoing stress associated with alcohol withdrawal.45, 46 Furthermore, we acknowledge that our analysis does not distinguish between changes in sperm ncRNAs that are causal drivers of altered epigenetic programming in the next generation versus abnormalities that are merely additional symptoms of alcohol-induced stress.

I´m all for science on alcohol abuse and effects of moderate drinking, but this doesn't look like solid science for me (especially as afaik, there is still very few reliable, double-blind controlled evidence on epigenentic effects at all).

But please correct me if I´m wrong (worked with biotech companies on admission studies for several years but no biologist myself).