Working at the intersection of technology, economics and policy. Life, and cycling, too.

London based
Joined June 2013
Brian Williamson retweeted
Apple m'a invité à une session sur le DMA et le blocage de Siri AI dans l'UE aujourd'hui, avec d'autres journalistes européens. C'est à lire sur Numerama : numerama.com/tech/2271421-il… En gros : Apple a prévenu l'Europe dès fin 2025 de son projet SIri AI pour trouver un compromis. La marque voulait proposer un système appelé « Trusted System Agent » pour permettre à un assistant tiers d’accéder aux mêmes fonctions que Siri AI, mais avec les protections d’Apple. L'Europe aurait dit non : elle veut que les concurrents aient accès à toutes les données. Apple dit que n'importe quelle app pourrait utiliser une IA pour lire les messages et les mails de ses utilisateurs si aucun garde-fou n'est proposé, d'où sa volonté de s'opposer frontalement à la demande de l'Europe. Google est dans la même situation avec Gemini et commence à se plaindre des demandes européennes, même si lui n'a pas attendu un feu vert pour lancer ses nouveautés. Apple n'a aujourd'hui pas la moindre idée de comment faire accepter Siri AI en Europe : aucun développement n'est en cours. Le blocage pourrait durer des mois. J'ai contacté la Commission européenne et je mettrai à jour cet article avec sa réponse. Dernière info : Siri AI sera disponible sur Mac et Vision Pro en Europe, car ce ne sont pas des gatekeepers. iPhone et iPad bloqués par le DMA. Apple Watch bloqué car elle a besoin d'un iPhone compatible pour l'index sémantique. #WWDC26
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Brian Williamson retweeted
A new product, a new customer, a new financing! Introducing Superpower: a 42MW natural gas turbine optimized for AI datacenters, built on our supersonic technology. Superpower launches with a 1.21GW order from @CrusoeAI Backstory 🧵👇
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We’re announcing a research collaboration with @CFS_energy, one of the world’s leading nuclear fusion companies. Together, we’re helping speed up the development of clean, safe, limitless fusion power with AI. ⚛️
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Brian Williamson retweeted
An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells.  With more preclinical and clinical tests, this discovery may reveal a promising new pathway for developing therapies to fight cancer.
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Brian Williamson retweeted
8/N Btw, we are releasing GPT-5 soon, and we’re excited for you to try it. But just to be clear: the IMO gold LLM is an experimental research model. We don’t plan to release anything with this level of math capability for several months.
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Brian Williamson retweeted
Amazon’s Kuiper is the latest competitor in a fast-growing market for satellite broadband. Such services are increasingly attracting the interest not just of private firms, but of governments too econ.st/3G5iAVa
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Brian Williamson retweeted
"And Astra was a great example of an experiment into how crappy you can build a rocket before it works. Where is the margin between crappiness and working good enough? And as they found out the hard way, there is no margin" maxim.com/news/how-rocket-la…
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Yes, we did shut down Salesforce a year ago, as we have many SaaS providers—an internal estimate is about 1,200 SaaS shut down. No, I don't think it is the end of Salesforce; might be the opposite. Here is what actually happened and how/why we originally intended to NOT share it publicly: At Klarna, we decided early to explore the potential of AI and LLMs—mostly ChatGPT—while being open to testing all things that seemed to be trending. We encouraged all employees to do so and allowed them to pursue ideas organically rather than following "management direction" on exactly what they should be building. In the early days of ChatGPT, we heard a lot: "this tool allows you to feed all your PDFs, all your data sources to a LLM!" However, the old universal truth of data scientists still holds true, even in AI: "shit in, shit out." Feeding an LLM the fractioned, fragmented, and dispersed world of corporate data will result in a very confused LLM. We started instead exploring a few key concepts: What of our data was actually valuable? What data was duplicative, incorrect, or contradicting? Why was it like that? While people nowadays can criticize things like Wikipedia, we also reflected on the fact that it is a remarkable achievement—having over 20,000 people collaborate on the largest graph of knowledge that is still fundamentally of high quality, accessibility, and accuracy. What could we learn from this? A Swedish company, @neo4j, and @emileifrem introduced us to the beautiful world of graphs. We further explored data modeling, ontology, and, of course, vectors, RAGs, and many things. Key to our explorations became the conclusion that the utilization of SaaS to store all forms of knowledge of what Klarna is, why it exists (docs), what it tries to accomplish (slides, tickets, kanban boards), how it is doing (sheets, analytics), who is it dealing with (CRM, supplier management), who works here (ERP, HR) and what it has learnt was fragmented over these SaaS—most of them having their own ideas and concepts and creating an unnavigable web of knowledge that required a tremendous amount of Klarna specific expertise to operate and utilize. We also recognized that enterprise software has a standard set of features that are vital for it to operate—features such as audit, versioning, access and edit management, and similar universal needs. We need them as well, but that fragmentation again adds friction, admin overhead, and more. So, we decided to start consolidating; to put things together, connect our knowledge, and remove the silos. The side consequence of this was the liquidation of SaaS—not all of them, but a lot of them. And not for the license fees, even though those savings have been nice, but for the unification and standardisation of our knowledge and data. So no, we did not replace SaaS with an LLM, and storing CRM data in an LLM would have its limitations. But we developed an internal tech stack, using Neo4j and other things, to start bringing data=knowledge together. Ultimately, we found this very interesting, but more importantly starting seeing serious productivity gains. We allowed our internal AI to use this knowledge, and we realised with the help of @cursor_ai we could quickly deploy new interfaces and interactions with it. So, I discussed with one of my board members: should we share this publicly? We decided not to. We hold no grudge against SaaS (not true—I hate some of it, but won't tell you which one). But we are a payments company and a neo bank, there is limited value for us to share this externally. However, Klarna, being a bank, holds quarterly calls with its investors, and in passing on of these calls, I mentioned that we had removed some SaaS software including Salesforce. It turns out that the recording was leaked to @SeekingAlpha, and they put out a news post about it. And from there, it went crazy. Suddenly, @Benioff was asked on stage why Klarna was leaving Salesforce. I was tremendously embarrassed. So, to summarise, what does this mean? Will all companies do what Klarna does? I doubt it. On the contrary, much more likely is that we will see fewer SaaS consolidate the market, and they will do what we do and offer it to others. Those are likely to be your next SaaS. And it is very likely that Salesforce will be one of those companies. As highlighted many times, they do so much more than CRM today and hence have the opportunity to become that hub of knowledge that modern companies will seek. But there are also risks for them and others; a lot of our large enterprise SaaS providers suffers from a fallacy. They started as companies with a clear opinion of how to do things, but over time, as they try to satisfy every whim of any random person working at any large enterprise, they become somewhat of a glorified database and lose their opinion. Opinionated software is worth something, as opinions represent an experience of what works, what produces results. And this is the ultimate value. So I hope with sharing this we can clarify a lot of speculation and misunderstandings and in the end same thing as is always true, just like when mobile came along, we talked about mobile first, now you need to be AI first. Of course all SaaS companies will need to learn adopt and evolve. But if they do there is tremendous opportunity ahead.
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Brian Williamson retweeted
Meet Flatellite - A scalable, long-life, high-power, stackable satellite that enables secure, low-latency, high-speed connectivity and remote sensing capability for national security, defense, and commercial markets. And it's more than just a new product developed to serve our customers’ ever-evolving needs. It's a bold, strategic move toward operating our own constellation and delivering services from space. More: bit.ly/41AS4LQ
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🔥 After 11 years, Swiss regulator ComCom ruled against Swisscom in a #peering case by @init7, exposing a Swisscom-DT cartel extracting payments from content providers. 🏔️ Let’s see how this Swiss decision snowballs down the Alps into Europe! 🔗 init7.net/de/news/241223-mm-… #FairShare
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Brian Williamson retweeted
Replying to @techikansh
we want to! we want to offer our products in europe, and believe a strong europe is important to the world. we also have to comply with regulation. i would generally expect us for new products to have delayed launches in europe, and that there may be some we just can't offer.
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🔥 The 🇩🇪 @Monopolkom rejects mandated direct payments from CSPs to ISPs, as this “would fundamentally change the Internet ecosystem”! It sees no evidence of #IPInterconnection problems justifying regulation. cc: @HennaVirkkunen #FairShare #NetworkFees 🔗 linkedin.com/posts/monopolko…
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🚨 Attention policy wonks, tech & telco geeks, and … fortune tellers! 🕰️ The internet lab is back with another ‘Telecom Time Capsule’. 🎥 In this capsule, @MarethBrian brings an economist’s perspective. This Partner at @CommCham works at the intersection of technology, economics and policy, with among his clients governments, regulators, telcos and tech companies. Brian’s vision is that: 🔸 policymakers should: 1️⃣ embrace diverse connectivity solutions 2️⃣ focus on consumer experience 3️⃣ avoid over-regulation 🔸 Long-term supply targets must be flexible, ensuring that broadband meets real needs without discouraging demand 📺 Watch now: youtu.be/MdhmyL9QV_M  🗝️ Key insights: 🗣️ Don’t overregulate: “Regulate as much as you need to, but not more. If regulation becomes too dominant in a market, then suppliers focus on regulators, not consumers, because that's where the returns are.” 🗣️ Avoid misguided policies: “Poorly framed targets and a failure to adapt promote a misallocation of capital and radio spectrum. And we can't afford that.” 🗣️ Take a consumer-centric approach: “If we were to refocus, taking account of what consumers need, and taking account of the diversity of supply side solutions, much faster progress could be made. And I think the outcomes would be better.” ⚠️ Tag a policy maker who needs to see this! Remember, the future of connectivity is calling – will you answer? 📞 Don’t miss this series of video capsules to gain valuable insights for better and more informed policy making. Discover more perspectives: youtube.com/playlist?list=PL…  #TelecomTimeCapsules #TTC #Council #TelecomRegulation #TelecomPolicy #EU #DigitalEU #DigitalNetworksAct #NetworkFees #FairShare #BetterRegulation #FutureTelecoms #WhitePaper #OpenInternet #NetNeutrality #IPInterconnection #telecoms #EUpolicy #connectivity #5G #SatelliteInternet #ConsumerExperience #InternetOfThings #IoT #SpectrumAllocation #BroadbandDemand #BroadbandTargets #Overregulation
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Brian Williamson retweeted
Those arguing that AI is biased against labour have work to do. In this post I take on @DAcemogluMIT on his recent NYT oped. open.substack.com/pub/joshua…
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Once DeepMind's Hassabis was worried about a EU funded competitor, the Human Brain project. Today, he has a Nobel prize, the Human Brain project achieved nothing. @pietergaricano writes today about R&D on the Silicon Continent Substack. siliconcontinent.com/p/the-p….
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