The # of DMCAs Anthropic is about to send is going to be crazzzy I personally will spin up 3 Hermes agents to rewrite it in Rust, Zig, and C
MARKET TRENDS
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ARC-AGI-3: New Benchmark Reveals AI-Human Gap
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François Chollet just dropped the toughest benchmark that made every frontier AI look lost. ARC-AGI-3. 135 game environments built from scratch by game designers. No instructions, no rules, no stated goal. The AI gets placed inside and has to work out what it is even trying to do. Untrained humans cleared all 135. Every major model landed below 1%. Humans: 100%. Gemini 3.1 Pro: 0.37%. GPT 5.4: 0.26%. Opus 4.6: 0.25%. Grok-4.20: 0.00%. The scoring is built to punish shortcuts. A human solves it in 10 moves, the AI uses 100, the AI gets 1%. Throwing more compute at it makes no difference. For context: ARC-AGI-1 is essentially a solved problem at this point. Gemini scores 98% on it. ARC-AGI-2 went from 3% to 77% in less than a year with labs pouring millions into it. ARC-AGI-3 made all of that progress feel small. Announced live at Y Combinator in a fireside between Chollet and Sam Altman. $2M in prizes on Kaggle. Every winning solution has to be open sourced. Scaling will not fix this. We are not close to AGI. (Find link in the comments) [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-03-31 16:44 UTC
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Claude versus ChatGPT: Usage Limits and Pricing Compared
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How do people get work done using Claude? I signed up for the $100/mo account and it ran out of limit while creating a pack of 6 slides! I pay $200/mo for ChatGPT/Codex and have NEVER run out of any limit even though I'm working on three projects at the same time. [Translated from EN to English]
→ View original post on X — @learnopencv, 2026-03-31 16:31 UTC
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Compute Wars: Anthropic’s Competitive Advantage in AI Race
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Compute wars – the current state, very clear how much Anthropic benefited from the recent influx of compute.
— Peter Gostev (@petergostev) 31 mars 2026
The interactive version of this site linked in the next post https://t.co/bqc9i1jTw1 pic.twitter.com/gktJT9cTQZCompute wars – the current state, very clear how much Anthropic benefited from the recent influx of compute. The interactive version of this site linked in the next post
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Veo 3.1 Lite: Cost-Efficient Video Generation Model Launch
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’s here to stay – introducing Veo 3.1 Lite, our most cost efficient video generation model to date, and on April 7th we are also reducing the price for Veo 3.1 Fast : )
→ View original post on X — @demishassabis, 2026-03-31 16:20 UTC
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Innventure CEO Claims Stock Undervalued, Accelsius at Center
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A very hot play on AI data centers, Accelsius, continues to be at the heart over the debate about conglomerate Innventure. Innventure CEO says his stock is too cheap; it’s hard to say Bill Haskell, CEO of conglomerate Innventure, which owns a very talked-about maker of technology to cool Nvidia GPUs, Accelsius, says his company’s stock is too cheap relative to the value of Accelsius. Maybe so, although Innventure and Accelsius are still early-stage ventures with a lot to prove. thetechnologyletter.com $INV
→ View original post on X — @tiernanraytech, 2026-03-31 16:08 UTC
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China Mass Produces Humanoid Robots at Record Pace
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China is making ONE humanoid robot every 30 minutes https://
youtu.be/s0t2jxRABlg?si
=TFD6F_sA1aclU2tI
… via @YouTube #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves -
Industrial AI Competitive Advantage Through Contextualized Data Integration
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#Paid Partnership with Siemens
— Lucian Fogoros (@fogoros) 31 mars 2026
"Tailored, domain-specific insights often outperform generic AI strategies." Samuel Schuler, Reimann Investors. The competitive battle in Industrial AI will be won by the company with the best contextualized data and the deepest integration into… pic.twitter.com/aj2wrQcLu3#Paid Partnership with Siemens
"Tailored, domain-specific insights often outperform generic AI strategies." Samuel Schuler, Reimann Investors. The competitive battle in Industrial AI will be won by the company with the best contextualized data and the deepest integration into -
Open and Custom Models as Strategic Competitive Advantage
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The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack
→ Less vendor lock-in
→ Better fit for regulated industries
→ More value from your own enterprise data and IP General -
Three Keys to AI Success: Internal Use, Industrialization, and Control
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My takeaway is simple: The next 2 to 3 years will reward companies that do 3 things well: → use AI internally, so leadership understands it firsthand
→ build with a clear path from pilot to industrialization
→ take control of their own models, data, and evaluation strategy