Wolfram Ravenwolf

Things Wolfram Says on Podcasts

Tests and compares large language models for a living, running structured benchmarks like MMLU-Pro Computer Science on new releases as they come out, from closed models like GPT to open-weight models like GLM and DeepSeek. Focuses especially on local and open-source LLMs that people can run themselves, and publishes detailed write-ups of each comparison. Works as an AI engineer and consultant based in Germany. Co-hosts and regularly guests on ThursdAI, a weekly roundup of AI news and model releases, and posts benchmark results and commentary on X, Bluesky and GitHub under the handle WolframRavenwolf.

Where to Find Them

Wolfram Ravenwolf hosts ThursdAI - The top AI news from the past week .

Recently: “ThursdAI - Oct 29 - Gemini 4 Carbon is the new #1, Anthropic files to go public & more” on ThursdAI - The top AI news from the past week (October 2026); “ThursdAI - Oct 22 - AI finds all the vulnerabilities, Claude Duet, DeepSeek drops Infer & more AI news” on ThursdAI - The top AI news from the past week (October 2026); “Claude now leads 26% of Anthropic’s R&D, Meta drops an 816B open model & Gemini 4 Argon” on ThursdAI - The top AI news from the past week (October 2026); “ThursdAI - Oct 1 - OpenAI joins the assistant race, CoreWeave drops serverless GPUs & more” on ThursdAI - The top AI news from the past week (October 2026); “Opus 5.5 is your new workhorse! OpenAI ships GPT 6 Sol and Luna before DevDay and Meta goes all in on Muse! Your friday read is here” on ThursdAI - The top AI news from the past week (September 2026); “ThursdAI - Sep 17 - TypeSafe's Jev is a ChatGPT moment for decisions, Pace the Frontier splits the labs & more” on ThursdAI - The top AI news from the past week (September 2026).

What They Said

“The models are finding security holes that have been there for years. And I think it's a good thing that they are being found instead of remaining hidden. We have to find them, we have to fix them, and that needs a lot of tokens and that costs a lot of money. So the cheaper the model that can do this, the better for everybody.” — Wolfram Ravenwolf, ThursdAI - The top AI news from the past week

Asked for his first reaction to Google's new Gemini model, Wolfram described it as a cybersecurity and coding model. His point is that low cost per task matters because finding and fixing old vulnerabilities at scale burns a lot of tokens.

ThursdAI - The top AI news from the past week · 2026-10-29 Permalink → Listen →
ThursdAI - The top AI news from the past week Around 10:41 into the episode
Nisten Tahiraj

Yeah.

Alex Volkov

…folks, cybersecurity gets it. And Google is working on releasing this to ultra subscribers. All right, let's go wide and let's talk about this, folks. Wolfa, were you surprised? You weren't that excited about Argon, I remember, because it refused some prompts of yours. Immediate thoughts on Carbon?

Wolfram Ravenwolf

So Carbon, it's basically their cyber security and coding model, the state of the art right now in all of AI, I guess. Since it's only available in limited quantity, that limits its reach. But the pricing is very interesting because it is very competitive compared to other models. Let me just check on the page where we are. So the pricing was $1.80 for the median task house according to Arena, which is 72% cheaper than Opus 5.5. So this is very interesting. And making Frontier capabilities available at an affordable price is super important for developers that they can use it to secure their software. And the more affordable a model is and the more tuned for cybersecurity, the better for everybody because we are all using the software and it has to be secured. The models are finding security holds that have been there for years. And I think it's a good thing that they are being found instead of remaining hidden. We have to find them, we have to fix them, and that needs a lot of tokens and that costs a lot of money. So the cheaper the model that can do this, the better for everybody.

Alex Volkov

Google definitely leans into their competitive advantage of, hey, we have a buttload of CPUs and we can like, you know, we can do a loss leader here. Peter, I know you tested the model. Let's look at some of the evals. I don't remember seeing a chart quite like this from Gemini for a long, long…

Peter Gostev

Yeah, I think I must say the whole sequence of releases is a little bit odd. I'm not quite sure why you'd release one model. So this is Agent Arena, I'm showing right now. And Argon was seventh, which was like okay, to be honest. It kind of matches Tara, which is crazy. And now it's second. One…

Alex Volkov

want this a little bit. Bit bigger. Let's take a look. So, this is the overall chat, right? And the two preferred models on arena for chat is both Gemini models, which is from the last two weeks.

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.
“My P doom for AI is much less than my P doom for humans. If you look at the world where humanity has gone without AI, I think we should risk the chance that with AI we will get something better if it's widely distributed.” — Wolfram Ravenwolf, ThursdAI - The top AI news from the past week

This closes a run of argument about a doomer post that had prompted talk of pausing training, with Ravenwolf pointing out that nothing came of an earlier warning. The conditional at the end is the actual claim: the bet only pays off if the technology is widely distributed. Alex Volkov cut in to say they could feel a whole debate coming, and Chris Alexiuk picked up the distribution thread straight after.

ThursdAI - The top AI news from the past week · 2026-09-11 Permalink → Listen →
ThursdAI - The top AI news from the past week Around 1:25:00 into the episode
Wolfram Ravenwolf

Did you hear anything that anything happened after that came out? Nothing, right? Nothing. And

Alex Volkov

the world didn't end.

Wolfram Ravenwolf

My P doom for AI is much less than my P doom for humans. If you look at the world where humanity has gone without AI, I think we should risk the chance that with AI we will get something better if it's widely distributed.

Alex Volkov

All right, folks, I think we could feel a whole debate.

Chris Alexiuk

Anti-democratic views and the healthiest thing you can have is an ecosystem. So a monoculture is bad in any ecosystem, whether silicon or organic-based. And still, encryption works. If you want it to work, it does work. And that's the main tool we have. If we distribute it and we're able to have…

Alex Volkov

All right, folks, I think we've covered this thing enough. There's plenty of stuff to cover in the big war, big labs, but we will keep monitoring. We'll let you know if anything major happens there. I think we'll skip Apple's event that has nothing to do with AI. The only few things about the Apple…

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.