Laurent (@Laurentxdev) header
Laurent (@Laurentxdev) profile picture

28 | Self Funded AI Founder Building my financial iOS app Senior AI developer → shipping AI apps & games solo Coding is a fun game

France
Joined September 2025
Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)Photo by Laurent (@Laurentxdev)
One prompt + one image → a playable ski game GPT-6 Astra & Rodin MCP handled most of the heavy lifting Game development is getting weirdly accessible
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Google just released its next frontier model and most people can't use it yet Gemini 4 Carbon is going to trusted cyber defenders first, then more partners over time Slow and careful rollouts might be the new normal for top models Do you like this approach?
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
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Imagine your AI texting you first Your move is Friday. Want me to set up your internet? That's the new texting feature from @ChatGPT Send it text, photos or voice notes and it keeps an eye on things for you What would you ask it to watch for you?
By popular request, you can now text your dot. Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant updates. Safe, secure texting via iMessage or RCS. You’re the only one who can text your dot, and your dot can only text you. Rolling out now as a preview for Pro users in the US.
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Ever wanted to try yoga but had no idea what to even buy? Thats the kind of question scene by @daletlabs is built for You type something loose like "what do I need to get into yoga" and it shows you real looking scenes with the mat, the outfit and the blocks Every photo is made by AI but every product in it is real Tap what you like and buy it right there
🤝 Paid partnership
We raised a $7M pre-seed to make shopping fun again. @daletlabs generates media just for you: like walking into a mall built around your taste. And you can buy everything in-app. Built by researchers from Google, Runway and MIT. Backed by @lightspeedvp and amazing angels.
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Most VCs try to win deals with money Begin Capital won one with a printed photo They hung a top founder's portrait next to Elon Musk on their office wall He laughed and gave them a spot in the deal That pirate style grew their first fund from $20M to $72M and into the top 1% worldwide Now Season 2 is here: $100M for deep tech founders I love VCs with a sense of humor 🏴‍☠️ What's the boldest deal move you've seen?
Renewed for Season 2. $100M for deep tech founders. Now casting: begin.capital
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Cheers to the Judgment team on GA 🥂
Today, @JudgmentLabs opens for general access. We believe long running agent systems will generate more exhaust data than the world can currently process. Hidden within agent traces are rich records of how to make these systems better: what users ask for, when agents stumble, and how agents interact with the external world. Judgment is the most performant monitoring and improvement layer for long-horizon agents. We’re excited to see what you build!
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Taku takes its name from Takumi, a master craftsman. Behind it is a team united by a love for what they do and a relentless pursuit of excellence. Meet the people and the craftsmanship behind robots built to last. Come build with us: dyna.co/careers
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What if your app could watch a video, hear a question and answer out loud without ever touching the internet? Thats LFM3 from Liquid AI. The vision model is small enough for a phone yet keeps up with models around 6 times its size I'd love to see what indie devs build with this first
🤝 Paid partnership
Replying to @liquidai
𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 can also serve as a foundation for robotics. We explore three adaptations spanning the robotics hierarchy, from tool-based task planning to navigation and manipulation. Tool orchestration: ground objects by pointing, measure them with depth tools, call motion planners, and check outcomes in new camera images. Pair it with a fine-tuned d1-2B skill monitor to detect failures and guide recovery. Navigation: translate route instructions and a sequence of image observations into visually grounded waypoint trajectories. The model achieves 53% success on R2R and 43% on RxR in unseen scenes under strict continuous-control evaluation with wall sliding disabled. Manipulation: turn images, language, and robot state into multi-step action chunks in one forward pass. Jointly trained across 15 embodiments, the resulting VLA achieves 96.2% average success across the four LIBERO suites and 45.7% on RoboCasa-GR1 tabletop tasks. The manipulation VLA generates action chunks in under 50 ms on an @nvidia Jetson AGX Orin using TensorRT in FP16, enabling real-time action generation on embedded hardware. 10/
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Laurent retweeted
AI agents aren’t just answering questions anymore. They’re shopping on people’s behalf. Today we’re launching Scope Journeys for Muse and Instinct. Want to see how agents purchase from you? Book a demo: tryscope.com/ See what agents are trying to buy, follow their buying decisions, and find out what stops them from purchasing. Scope identifies the issue and prepares the fix. All you need to do is approve it. See how it works 👇
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🚨 Big news today: We’ve raised $100M for our Series A! 🎉 🚀 We believe demand for fast inference is many times larger than demand for slow inference, and it’s about to go exponential. Thanks to our co-leads @BlackbirdVC and @Abstractvc. Two visionary partners join our journey 🎉 🚀
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How do you check a proof that no human has ever fully read? You give it to a team of AI agents. Each one takes a piece, they check each other's work and a computer confirms every step is right Axiom just did this with the "periodic table of symmetry", the biggest proof in math history. If agents can team up like this, building big apps the same way feels very close
🤝 Paid partnership
The largest math proof in human history is now computer-verified. Today, Axiom announces a complete Lean auto-formalization of the Classification of Finite Simple Groups, the "periodic table of symmetry." About 15,000 pages, built by over 100 mathematicians across generations.
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Chatting about a video idea → actually making it, same window. Cardboard is now a plugin in chatgpt and claude. Drop in clips or a reference video, ask for captions, motion graphics or music and keep tweaking in the chat Which edit would you try first?
🤝 Paid partnership
Introducing Cardboard for ChatGPT and Claude. You never know when your best ideas will find you. So we made sure that @usecardboard is there, whenever they do. At your desk, or on the go, wherever you are :)
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What if your AI could see your screen and just do the clicking for you? That's the idea behind Terra, the new model from @OpenAI It reads what's on screen, works across your apps and writes like a person All at a lower price What's the first task you'd hand it?
GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
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I believe we'll look back at this past week as a turning point in cybersecurity. AI is fundamentally changing the speed and scale of cyber threats, and the industry needs to move faster. Today, @Eon_io_ is launching the Data Resilience Initiative, helping companies find and protect their most sensitive data immediately. Eon is the only data protection company founded this decade, and the only one that can be deployed in a day. That's why we feel a responsibility to act. While the cybersecurity industry races to address these new threats, companies can't afford to wait to protect their most critical data. Traditional data protection solutions were built for a different era. They still rely on paradigms from the on-prem world, often taking months to deploy. Eon was built differently. We help companies quickly discover their most sensitive data, identify protection gaps, secure it with air-gapped backups, detect ransomware, and recover rapidly from attacks. As part of the Data Resilience Initiative, any company can start deploying Eon today. To remove barriers to getting protected, we're making Eon available at no cost for the first three months. We're also calling on other cybersecurity and data protection companies to join the initiative.
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I used to think I needed to understand every part of the code before I could build something useful. Working with AI has changed how I approach it. I can explain what I want, explore possible solutions, review the code, test it, and keep improving the result. I still need to understand what I'm shipping. But I don't have to figure everything out alone
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If you were building your first app with AI, would you start with a mobile app or a web app? I'm curious what other builders would choose and why
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the best AI help happens while you're away from the screen Claude can now give plugins long jobs through MCP Tasks and report back when they're done Plugins can even stop and ask you for input when they need it Would you trust Claude with a job overnight?
We’re adding support for MCP Tasks and Elicitations in Claude. Tasks let Claude give plugins long-running jobs such as deep research and report back when they’re done.
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My goal is simple Build things I actually want to use, with AI doing as much of the heavy lifting as possible What’s your goal?
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