A week in Generative AI: Bernie, Mistral & Runway
News for the week ending 7th December 2025
This week wasnāt one for big headline, frontier AI releases, but its been an interesting one with a great video from Bernie Sanders about the threats from AI, a huge set of open-weight models released from Mistral and Runway launched their latest text-to-video model.
There was some interesting Web 4.0 news this week as well with reports that AI shopping grew significantly year on year over the Black Friday period with both Amazonās Rufus and ChatGPT driving sales. There was also a report that ChatGPTās growth has stalled and lots more rumours about their incoming advertising product.
Thereās also a good Long Read from Stratechery on Google, NVIDIA, and OpenAI thatās worth checking out.
The threats from AI are real
Sometimes Bernie says it best, and itās great to see a US senator taking a proper look at AI technology and the issues weāre all facing around it. My only bugbear in these debates is how we talk about risk: people frame the āthreat of AIā as if the technology itself is dangerous, when in reality the danger lies in the choices humans make when building and using it. Technology isnāt a threat on its own.
Below are some of the questions that Bernie raises and says must be answered as AI brings about an unprecedented transformation of society:
Are we comfortable with the Billionaire class controlling AI without any democratic input or oversight?
What impact will AI and robotics have on our economy and the lives of working people?
What impact will AI have on democracy?
Could AI redefine what it means to be a human being?
What impact is AI having on our environment?
How will AI and robotics impact foreign policy and warfare?
Is AI an existential threat to human control over the planet?
The video is 15 minutes long and well worth a watch - it gives a good overview on the big important questions weāre facing around AI as well as some good examples of the challenges itās presenting.
Mistral closes in on Big AI rivals with new open-weight frontier and small models
This is a huge release from Mistal, 10 open-weight models in total that includes a large frontier model as well as smaller models that can be customised and used on device (i.e. offline).
A lot of Mistralās business customers are looking for models that are faster and cheaper to use, as well as easier to deploy. Theyāre also less worried about standard benchmark comparisons as they think that the value for businesses is when they customise their models and rate them against their own internal benchmarks.
Their new large frontier model, Mistral Large 3, has both multimodal and multilingual capabilities and has a context window of 256,000 tokens. Itās suitable for powering document analysis, coding, content creation, AI assistants, and workflow automation.
Mistral are leading the way for AI research in the EU and its great to see this release from them.
Runway says its new text-to-video AI generator has āunprecedentedā accuracy
Thereās been some really impressive progress made on text-to-video models this year and Runway themselves only released their Gen-4 model back in April. Since then weāve also had Veo 3 (May) and Veo 3.1 (Oct) from Google, and Sora 2 (Oct) from OpenAI.
I think weāre now in the territory we were in with text-to-image models around 18 months ago where most of them are now āgood enoughā and are able to generate mostly realistic and convincing content. Theyāre incredibly powerful tools that should be used responsibly, but I think weāll see a lot of creative uses of them next year start to hit the mainstream.
Web 4.0
ChatGPT referrals to retailersā apps increased 28% year-over-year, says report
Opera rolls out Gemini-powered AI features across its Neon, One, and GX browsers
AI Ethics News
Meta strikes AI licensing deals with CNN, Fox News, and USA Today
The New York Times sues Perplexity for producing āverbatimā copies of its work
āThe biggest decision yetā - Allowing AI to train itself
Long Reads
Stratechery - Google, NVIDIA, and OpenAI
āThe future is already here, itās just not evenly distributed.ā
William Gibson




