Dimitri

@doctordoom4 @robert_aristide @MatthieuGariel L'entreprise peut abonder le PERCO hors charges patronales semble-t-il economie.gouv.fr/particuliers/p….

@robert_aristide @MatthieuGariel je suis au max, et si je veux augmenter faut que j'augmente ma rém et je me fais massacrer de tous les cotés

Euh et le PER c’est quoi ?! 🤣

NEWS: Renault has created a R17 electric restomod based on the 1970s 17 fastback coupe. • Rear-mounted 270-hp electric powertrain • Body is 6.7" wider • LED lights • Deep Galactic Brown paint • Wheels look like a vinyl record • Weighs 3,086 pounds

For those who want to see all the data and not just the 1982-2025 mean compared to 2026, the answer is yes, global sea-surface temperatures are currently at a record daily high. The rise in SSTs represents billions of Hiroshima bombs worth of heat.

waiting for cathie wood to show these pessimists how it’s done

@Krysoph @_mohansolo This update got me to start using pi. dev with Deepseek as an underlying model and it works better for me.

Everything in AntiGravity 2 seems incomplete when compared to Cursor or Codex, including the model limits. Truly a downgrade from v1. I will not be renewing the plan, specially since the web Gemini became useless as every question is answered with an excuse that it's either too difficult or that the server is busy. Migrated to Codex/ChatGPT and haven't looked back, it generates images better, uses search when asked about anything, never heard an excuse about a thing from it, it just works.

We heard concerns that Antigravity consumes many tokens for simple tasks now. So, we're adding Gemini 3.5 Flash (Low) as a way to optimize token usage for these tasks. In our internal testing, it generates around 45% fewer tokens than Gemini 3.5 Flash (Medium) and generally outperforms Gemini 3 Flash (High) on SWE tasks. We've also gone ahead and reset Gemini quota across all paid plans to make sure you have all the tokens needed to build for the next week 🙂

Spotted in the NYC subway. “Zero screen time.” An iPod Shuffle ad in 2026. When we built the iPod, the goal was the technology disappeared and you could have your music wherever you were. 1,000 songs in your pocket. Now we’re living through a moment where people are actively looking for ways to disconnect from the infinite feed, algos, and constant notifications. That doesn’t mean technology is bad. It means the best technology understands when to step back. Not every problem needs another screen, another menu, or another layer of complexity. Constraints create freedom (read: @DavidEpstein new book Inside the Box). And often removing features creates a better product than adding them. The future of technology shouldn’t just be more engagement. It should help us be more human.

41 kidnappings of crypto holders in France in 3.5 months of 2026. Why? 🥖 French tax officials selling crypto owners' data to criminals (Ghalia C.) + massive tax database leaks. Now the state also wants IDs and private messages of social media users. More data = More victims.

$NKE CEO recently purchased approximately $1 million in shares shortly before the company announced a 1,400-job reduction, primarily in its technology segment, as part of its “Win Now” turnaround strategy. In 2026, Nike has laid off more than 2,100 employees as part of a broader restructuring effort, aimed at addressing slowing global sales and a projected around 20% decline in China. Despite China challenges, North America is showing signs of recovery, revenue grew +3% YoY, with wholesale up +11%, driven by stronger partnerships with key retailers such as Dick's Sporting Goods, Foot Locker, and JD Sports. This marks the first time in two years that Nike achieved growth across all channels in the region. Additionally, the Running category grew +20% globally, validating its athlete-led, segmented, and integrated marketplace approach. Nike is actively restructuring its cost base to restore profitability. The company recorded a $230-$300 million severance charge, reflecting workforce reductions and operational changes across supply chain, technology, and its Converse division. The FIFA World Cup (June–July) is expected to provide a boost to sales, particularly in North America. However, the financial impact is more likely to materialize in FY2027 and extend into FY2028, rather than providing an immediate uplift. As has happened with other companies, insider buying can be a meaningful signal. The CEO has now invested roughly $2 million in the stock within six months, suggesting confidence in the long-term turnaround. Is this a signal that the stock is undervalued today, or is it still too early?

Anthropic is low key onto something with Claude Design great onboarding experience (uploaded our design system so it maintains consistent branding) and then one-shotted a logo animation for extend

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

"Do not learn to code" is the worst career advice of the decade. People are telling college students to skip Computer Science because AI will just automate it all. Andrew Ng just killed this myth at Stanford with a brilliant analogy. When he tried to generate images with Midjourney, he typed: "make pretty pictures of robots" and got garbage. His collaborator, however, understood Art History. He knew the exact vocabulary of lighting, genre, and palette. He spoke the "language of art," and generated masterpieces. Andrew Ng is seeing the exact same thing happen in software engineering right now. AI didn't replace the need to understand Computer Science. It made Computer Science the required vocabulary to control the AI. If you don't understand how computers actually work, you are just typing "make a pretty app" into Cursor and shipping fragile, unscalable logic. Here is Andrew Ng's exact hiring hierarchy today: Level 1: 10 years of experience, but codes by hand (He won't hire them). Level 2: Fresh college grad, but highly fluent in AI-assisted coding (He hires them over the 10-year veteran). Level 3 (God Tier): Deeply understands CS fundamentals AND uses AI-assisted coding. When humanity went from punch cards to keyboards, coding got easier, and more people coded. We are at that exact inflection point again. AI doesn't replace fundamentals. It multiplies them.

Thoma Bravo draws a line between two types of software companies: More exposed: simple workflows, generalist knowledge, light regulation, easy to replace. More protected: zero tolerance for errors, deep domain expertise, heavy compliance, proprietary data, embedded across customer systems.

If one stock defined the SaaS era, it was Constellation Software. It rolled up 500+ niche software firms on premise that their products were so embedded in customers’ workflows that demand was relatively inelastic to steep annual price hikes. It’s now the face of AI disruption.

@bygregorr @kaostyl N8N scraps your instance and workflows when you cancel the subscription, so it's a good idea to have a backup

@kaostyl What made you think exporting your workflows as JSON would be a good idea in the first place? Did you anticipate a use case like feeding them to an AI later?

n8n is dead. I fed my AI all my workflow JSONs and it replaced every single one. I ran n8n for over a year. 15+ workflows on a Hetzner VPS. HTTP nodes, webhooks, JSON parsing, conditional branches, error handling. Then I did something stupid: I exported every workflow as JSON, dropped them into @OpenClaw, and said "replicate all of this." It took 20 minutes. Not 20 minutes per workflow. 20 minutes TOTAL. The AI read every JSON, understood the logic, and rebuilt each one as a self-healing cron job. Here's the difference nobody talks about: n8n workflow: → 47 nodes connected with spaghetti → API changes? Rebuild 6 nodes manually → Edge case? Add more conditional branches → Breaks at 3am? Wake up and debug OpenClaw workflow: → "Scan X for trending AI news, write a 1000-word article, generate a thumbnail, publish to WordPress, submit to Google Search Console" → API changes? The AI adapts automatically → Edge case? It figures it out → Breaks at 3am? It reads the error and tries a different approach. You sleep. The craziest part: I now have 20 autonomous jobs that do MORE than my n8n ever did. Because here's what n8n can't do: • Write a full SEO article from scratch • Generate images for thumbnails • Decide NOT to publish if the content is trash • Review its own mistakes every 4 hours • Learn from yesterday's failures • Generate full YouTube videos — script, voiceover, stock footage, animated whiteboard, editing — completely autonomously That last one blew my mind. I give it a YouTube URL, and it comes back with a fully edited video summary: AI-generated narration, Excalidraw animated scenes, relevant stock footage, transitions. No editing software. No templates. The AI figured out how to use Remotion, FFmpeg, and TTS on its own. Try doing THAT with n8n nodes. My AI scrapes Instagram, transcribes reels, hunts expired domains, deploys websites, writes posts on X — all on cron. If one task fails, it self-corrects and keeps going. n8n doesn't think. It executes. OpenClaw doesn't just execute. It understands. You can literally hand it your n8n JSON export and say "do this but better." And it will. Because it doesn't need nodes and connectors. It needs intent. My n8n VPS is still running. I haven't logged in for 3 weeks. Stack: Mac Mini, @OpenClaw, plain English prompts. That's it.

I'm so glad A.I is about to commoditize special effects. Now hopefully Hollywood will focus on making good stories again.

In 10 years, there will be two classes of people. Economists call it the "K-shaped economy" - and the next 2-3 years will decide which line you're on. • An overclass that uses AI as a lever to build wealth, automate income, and make decisions at a speed no human can compete with alone. • And an underclass that gets managed by it. This isn't just "coming". It's already happening. Some mind-blowing stats: • Workers with AI skills earn 56% more than the same job without them. That premium doubled in a single year. • Industries adopting AI are seeing 3x the revenue growth per employee. • Meanwhile, 90% of workers haven't taken a single hour of AI training. • Goldman Sachs estimates 300 million jobs will be affected by AI by 2028. That's 24 months from now. If you're reading this now and you haven't built systems with AI - haven't automated a single workflow, haven't used it to create anything that makes you money or makes you irreplaceable - you are currently on the wrong line. That's not an insult. You have the agency to change your trajectory right now. But six months from now, the gap will be twice as wide. And a year from now, it may not be crossable.

@NCheron_bourse @MaxEuler24 Les Quark glasses d'Alibaba y sont peut être pour quelque chose.. youtu.be/BGcFyU_z1Gg?si…

Essilor vue hebdomadaire Ouverture +10% mais cadeau matinal, le retour à +1.5% Une belle porte d'entrée !

Private Equity...à suivre : 40 % des transactions de private equity des dix dernières années concernaient des logiciels !

#g9plus Pour les #ESN avec l'IA, "Il y a une vraie prime a l'orchestration et à savoir énoncer une fonctionnalité". "Partager la valeur via la propriété intellectuelle des agents est une alternative au modèle du TJM".

This high speed FPV drone shot chasing athletes with synchronized telemetry got the winter olympics looking like a real life video game. x.com/BrandGraffismo…