Lars Rinnan (@lamirin) header
Lars Rinnan (@lamirin) profile picture

CEO @nextbridgeas, futurephile, board director, AI advisor, keynote speaker, podcast host, founder of 6 BI/AI companies.

Oslo
Joined May 2009
Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)Photo by Lars Rinnan (@lamirin)
today, we introduce a little mischief to the world. for four years, we’ve been brewing real brain cells on electrodes to understand how they compute. now, we’ve turned those discoveries into a video model anyone can use. from 0.5¢ a second, mischief 1 is at least 5x faster than its base and the cheapest image-to-video model on @fal and @OpenRouter. soon to be on @awscloud marketplace. it’s not a delusion anymore. biocompute is real, commercial and this is just the beginning. happy halloween.
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Larry Ellison said this week that AI will bring universal income and make “everyone wealthier,” and that we should tax the value robots add. He gave it a decade. The AI Pledge for Humanity (aipledgeforhumanity.org) asks those gaining most from AI to commit now to sharing those gains through unconditional cash. @AndrewYang and @moskov have signed. Larry, will you sign? Or are you just saying it as a way to get people to support your AI investments?
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Replying to @hilbertspaess
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Good morning and Happy Wednesday to everyone who agrees that President Obama ALREADY got Iran to agree not to "seek, develop, or acquire any nuclear weapons," so if that's all trump's Iran deal does, it's garbage. It cost American and Iranian lives. And over $100 BILLION.
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See how @heavypulp made a trailer worthy of the big screen with this powerful new model:
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Exciting news: Claude Fable 5 ranks #1 on the new Agent Arena leaderboard! Fable 5 leads by the widest margin ever over Opus-4.8 and GPT-5.5 on two key signals: confirmed task success rate and praise vs. complaint, despite weaker steerability. If Fable can do something, it will do it very well. If it can't/doesn't want to do something, it may be hard to steer the model towards the goal. In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks. Models get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide deck, researching the web, building apps, and analyzing documents. We use the causal tracing methodology to measure a model's net improvement which indicates how much it improves outcomes relative to the average model. Huge congrats to @AnthropicAI for the incredible milestone! Below we break down how Claude Fable 5 (based on Mythos) scored across 5 signals, drawn from tasks submitted by a global community of users.
Introducing Agent Arena: real-world agentic evals at scale. How do you evaluate agents doing actual work? We measure millions of live sessions where real users accomplish real tasks. On Arena, models now get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide deck, researching the web, building apps, and analyzing documents. Every session produces rich signals. Users iterate with the agent turn-by-turn: approving, editing, correcting, praise or expressing frustration. The environment gives feedback too: shell errors, tool failures, recovery attempts, and more. Our leaderboard measures each model's agentic performance using causal inference across five signals: task success, steerability, error recovery, user praise vs. complaint, and tool hallucination. This leaderboard snapshot is built from 300K+ tasks, 2M+ tool calls, and 40M lines of code by agents. Top labs in Agent Arena: - #1 @OpenAI: GPT-5.5 (High) - #2 @AnthropicAI: Claude-Opus-4.7 (Thinking) - #3 @Zai_org: GLM-5.1 - #4 @GoogleDeepMind: Gemini-3.1-Pro - #5 @Kimi_Moonshot: Kimi-K2.6 More analysis in the thread, with the full technical blog below.
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Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better. This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.
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We’re reimagining a 50-year-old interface - the mouse pointer - with AI. 🖱️ These experimental demos show how people can intuitively direct Gemini on their screens using motion, speech, and natural shorthand to get things done 🧵
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Day 2 is Live: Watch humanoid robots Bob, Frank, and Gary running 24/7. This is fully autonomous running Helix-02 xitter.cf/i/broadcasts/1rxmqoaVg…
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Why Every CEO Needs an OpenClaw AI Strategy — Whether They Know It or Not Open AI ecosystems like OpenClaw could reshape competition, innovation and business strategy — making it essential for CEOs to pay attention now. Read more 👉 bernardmarr.com/why-every-ce… #AI #Leadership #BusinessStrategy #BernardMarr
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Most people are still leaving huge amounts of value on the table when they use AI. The reason is simple: better prompts produce better results. In this video, I share eight practical ways to get more from tools like ChatGPT, from assigning the right role and giving clearer instructions to adding context, asking for missing information, fact-checking outputs, and refining results over time. The biggest shift is to stop treating AI like a vending machine and start treating it like a collaborator. The quality of what you get back often depends on how well you shape the task. Which prompting tip has made the biggest difference for you?
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We taught two F.03 robots to clean a room and make a bed in under 2 minutes - fully autonomous.
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Made with ChatGPT Images 2.0
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Last year, this news would have been science-fiction: GPT5.4 Pro found an elegant solution to a 60 year old conjecture, Erdős Problem #1196. The proof subverted the natural human intuitions. A day later, the proof was fully formalized in Lean by Gauss. What a time to be alive
In surprising news, GPT5.4 Pro just found a solution Erdos Problem #1196. Now Gauss has formalized the proof of #1196! The initial proof was 7.2K lines of Lean, done in ~5 hours. Subsequent golfing has compressed it down to 4K lines. (sorry-free, with comparator check)
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Toyota Motor Corp. showcased its latest AI-powered basketball robot, CUE7, showcasing advances in AI robotics. The robot will make its first public appearance at halftime at a B League game.
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A new video model dropped at #1 on the leaderboard 👀 It's called HappyHorse-1.0, and it's currently leading in both text-to-video and image-to-video. From my testing, it's particularly good at multi-shot videos and following detailed directions 👇
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Conversations tend to go better with a face and a voice. That’s why we’re thrilled to release the beta version of the first video chat skill for ANY agent, powered by our new real-time model, PikaStream1.0. The skill preserves memory and personality, and enables real-time adaptability. And if you use it with your Pika AI Self, they’ll be able to execute agentic tasks during the call 💅
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Please, put your phone down! @joinnoblemobile
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Collaborating with multiple coworkers can lead to messy @GoogleDocs with inconsistent voices and tones. ✍ With a single click, Gemini suggests edits that make your writing style consistent throughout the entire draft. 🌟 goo.gle/3OW1BJu
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Optimus
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