Long-term brand equity accounts for 63% of what makes a brand visible in AI. This is what WARC published in their LLM Visibility Drivers study last week. This is unsurprising if you work in brand strategy. But it should be a caution if you are solely focused on GEO tactics for performance, because it means the entire optimisation playbook is short term ( again ). If you are a high performing CMO, you wouldn't pour all of your marketing investment into META - why would you make your AI strategy dependent on GEO tactics alone? Each AI model weights things differently. Some pull from community sentiment. Others lean on content consistency and product reviews. The models change constantly and the weighting is still largely a black box - but the frontier model orgs are transparent about their channel inputs. Either way - brand equity keeps showing up as the dominant signal across all of them. Brave brands perform even more! This is why I built ATTENT10N as a brand performance platform for AI. After two decades of digital marketing optimising for short-term returns, the data is clear that long-term brand value will be rewarded and recommended by AI models. I developed a simple model for how this works. The traditional brand architecture is shifting as media interfaces and AI merge. We are focused on LLMs now, but voice, video and other modalities are coming fast. More on that soon. 👀 Sign-up for our newsletter if you want to test the platform next week. Details in the image below... ✌🏻

Rolex just opened a new boutique on the Swiss Alps inside a former telecommunications tower 🤯

I’m a forward deployed CMO. This year, I’ve taught approximately 250 people how to code and advised 15 boards on AI transformation I’ve built six products from start to finish. Finally about to launch a product I’m excited about. It took approx 600 hours to build and I’m wondering if the 10k rule still holds.. I can’t see how the future isn’t “forward deployed” - but I’ve observed some valuable things as someone in this position - especially as an early adopter as a non-technical vibe coder. 1) Even when you ship something rapidly - the time to take others on the journey isn’t rapid - people don’t like the detachment. People want to feel connected to their tools and products. I think there is a gap in the market for something that facilitates this - while retaining the efficiency. Maybe this will come from @thinkymachines - it’s a new form of glue work ( AI glue work ). 2) Agentic obsession - everyone wants something agentic until they realize it’s software they have to maintain. I spend lot of time suggesting off the shelf stuff versus bespoke or agentic. 3) While we wait for businesses to learn more about open source models and get more comfortable with server locations and data security - we have a two tier AI transformation journey - high token budgets and low. Claude vs. Co-pilot. 4) Even when people know forward deployed capabilities exist - they don’t think to ask “Can I or someone build this.” Or “Can AI solve this.” - this is mostly outside of Deep tech - which is most industries. 5) Communication is essential - that’s why non-technical, forward deployed leaders are useful. We know how to connect a P&L with a PRD.

I used AI to explain the Anthropic drama to my girlfriend, with fruit.

While Anthropic is fighting with the US government, Europe quietly built the most powerful AI in the world Mistral, the best EU model, completely dominated competition in the most crucial benchmark We must now ban access to Mistral for all Americans It's just too powerful. It's a matter of national EU security

Whatchamacalliting....

Researchers show that Claude Code is 98% not AI. Anthropic never gave us the architecture for Claude Code. There were no docs. Just a tool that every developer is currently obsessing over. Until it leaked recently. A research team pulled the source code, analyzed all 500,000 lines, and found something ridiculous. Only 1.6% of the codebase actually interacts with the AI model. The core of Claude Code is literally just a simple while-loop. It asks the model what to do, runs a tool, and repeats. So what is the other 98.4%? It is hardcore, traditional software engineering. The researchers found a massive, complex infrastructure designed entirely to babysit the AI and keep it from hallucinating or destroying your computer: - A 7-mode permission system acting as a security bouncer. - A 5-layer context compaction pipeline so the AI doesn't forget its goal. - A subagent delegation mechanism with strict worktree isolation. - Four different extensibility hooks to manage external tools safely. Every startup right now is trying to build a better AI model to get better results. Anthropic did the exact opposite. They took an existing model and built a fortress of deterministic software around it. They realized that the AI doesn't need to be smarter. It needs to be managed.

Fellowship talks with @john__gerrard john gerrard is a key figure in contemporary digital media, known for real-time simulations that appear like film but operate as virtual worlds. Using technologies rooted in military visualization and gaming, his work examines the hidden structures of power, energy, and human expansion. We sat down with him in our London gallery space to talk about power, simulation and what it means to make contemporary art with the tools that are changing the world. In the first section, gerrard traces the origins of a practice rooted in his encounters with art school, programmers and the 3D scan as what he calls an image object; a simultaneous picture and sculpture. He reflects on the moment he saw how electronic tools were changing music and asked himself what technology was going to do to art. In the second part, gerrard unpacks the thinking behind his work on energy and power. He walks us through three important works in his oeuvre: Western Flag, Flare, and Standard. As a triptych, they present us with the cumbersome legacy of petroleum on our planet, moving from the carbon past, through the burning present, toward a hopeful image of thinking the atmosphere as a shared space. In the final part, gerrard turns to where he is now: Gaussian splatting, WebGL, art tokens, and a bid to get contemporary art into the phone through his latest project called Spirits. ↓ Watch the full conversation below 🎧

A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix. He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one. Now your agent does the same. Before writing anything, it looks for a reason not to. 80-94% less code. 47-77% cheaper. 3-6x faster. The best code is the code you never wrote. GitHub Repo: github.com/DietrichGebert/po…

Two days ago the US banned Claude Fable 5. Yesterday China dropped GLM 5.2. Today GLM 5.2 is #1 on @bridgebench BS at 100.0, and #1 on Reasoning at 42.8, beating Fable 5. At 1/10th the cost and 300 tokens per second. You cannot export control your way out of an open source race. The ban didn't slow China down. Unban Fable 5.

High tax doesn’t just take a slice of your profit. It marks down the price of your entire company. UK companies are worth less than US companies because they operate within a more burdensome system. Here’s the part politicians and wealth tax campaigners miss: a valuation is based on future after-tax returns. Crank up the tax and regulatory drag, and the same business with the same revenue, same team, same customers is simply worth less here than it would be across the Atlantic. So a buyer sitting in a lighter regime can pay more than any domestic owner ever could, and still walk away with a better return. The high-tax economy doesn’t become a fortress. It becomes the bargain bin. The longer it runs, the worse the spiral. The best assets drift into foreign hands. Profits get routed out to wherever the rate is kindest. UK Founders exit to US acquirers. All future growth and profit is on their books. This isn’t theory, I see it happening regularly. A British company worth $100m will be worth $130m on the balance sheet of an American company. The state thinks it’s squeezing capital harder. What it’s actually doing is discounting the whole country and putting it on the shelf for someone else to buy. You don’t tax your way to wealth. You tax your way to being foreign owned.

今ネットで話題になっているSpaceXの27歳女性、郭璨。スターシップの女王と言われ注目されている。 SpaceXのミッションコントロールルームを支える中核エンジニア ↓ ロケットエンジンのパラメータをリアルタイムで監視、異常があれば中止指令を出す統括 ↓ 彼女が20代で開発したコードが打ち上げ制御ロジックとしてメインで使われている ↓ 年俸はたった13万ドル（約2,000万円） シリコンバレーのこの役職では低年俸 ↓ しかしSpaceXを8-15万株ほど保有しており、先日の上場で資産価値が2,400万ドル（約38億円）に 単なる個人の話ではなく、低現金高株式で恩恵を受ける分かりやすいロールモデルとなった

i made a "brand engineering" tool to let me convert the svgs into a 3d scene and then generate a sprite sheet to actually use on my site

“Virtually ZERO sovereign AI capability”? UK is No.3 on the planet according to Top Ranked AI Nations (TRAIN) Index. And tell that to Isambard-AI, the 11th most powerful supercomputer on earth, funded by the last Conservative government and unveiled at the Bletchley summit we convened to put Britain at the front of global AI. Britain is building its own frontier model right now, backed by a £500m fund. As ever from Reform: capital letters, no plan. Why are you always talking Britain down?

What comes next: The govt will rollout an emergency citizenship program for any foreign-born employee working in a lab contingent on them immediately moving to the U.S. Everyone will be heavily vetted via the same screening construct already utilized by the defense primes. Google will have to move the entirety of DeepMind to the U.S. and fire whoever refuses to relocate. People will gleefully assume Demis will just start his own UK lab instead before realizing the next step is the US is about to gut foreign “unmonitored” access to compute. You can pull a LeCun but you won’t have sufficient compute to do shit. Greencards will be given to family members too. Foreign govts will freak out when they realize what is happening. We are gatekeeping and hoarding intelligence preemptively. Why? Because by GPT 7 France will be like “oh you just destroyed our services sector we are going to tax the labs to pay for the necessary benefits to prevent riots” and it’s a lot easier to do that if labs have critical employees based in Paris. Ditto for every other foreign nation. Anyone acting like this is surprising is simply incapable of thinking four steps ahead. We are going to see industries nuked over night. There will be civil unrest. The only way to navigate that is to tax and gatekeep. The only way you can tax something is if it lives in your borders. We are repatriating exposure points preemptively. Compute gatekeeping comes next. 🫡

i built a app that's perfect for shy vloggers meet stitch: the pressure free mini-vlog app that's so low key that anyone can vlog, even if you are a shy introvert

LOS DISEÑOS DE IA SE VEN GENÉRICOS PORQUE NO SIGUEN NINGÚN SISTEMA DE COMPOSICIÓN REAL. Esta Skill lo resuelve → le enseña a tus agentes el sistema de grid de Müller-Brockmann (la base del diseño editorial moderno, en 162 páginas) y ahora lo aplican directamente en código. Cuadrícula real, jerarquía visual, tipografía y maquetación con criterio. No “que se vea bien a ojo”, sino reglas de composición de verdad. 100% gratis y Open Source. Funciona en Hyperagent o con cualquier otro agente. Yo la voy a probar en mis próximos proyectos web y demos. Enlace a la Skill abajo 👇 #HyperagentPartner

Possibly the worst billboard campaign I’ve ever seen

Oh yes please. I’d love to sell you all my proprietary operating data so you can give it to frontier models and then sell it back to people - looools. Hard no.

New server tool: Subagent 🤖 Your model can now delegate focused sub-tasks to a smaller, cheaper, faster model mid-generation. The big model orchestrates, the subagent executes. The subagent can use any model on OpenRouter.