Zuckerberg saying he expects to hire more customer support people after deploying AI is not a PR line. The unit economics of that statement are actually straightforward once you run them.
@aihighlight
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Marpipe Enables AI-Powered Dynamic Product Ads at Scale
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Most brands running large catalogs have been invisible in the DPA creative race since gen AI arrived.
— AI Highlight (@AIHighlight) 31 mars 2026
Marpipe just handed them a weapon pick your model, set your direction, and let it enrich and deploy across your entire SKU library in minutes.
The playing field just… https://t.co/l8JIS2Ers7Most brands running large catalogs have been invisible in the DPA creative race since gen AI arrived. Marpipe just handed them a weapon pick your model, set your direction, and let it enrich and deploy across your entire SKU library in minutes. The playing field just shifted. Dan Pantelo (@danpantelo) Gen AI works for one-off ads, but is unusable for product catalogs / DPA. Ecom brands have hundreds of SKUs and are spending 50%+ ad spend on DPA. They’re being left behind. Until now. Introducing, Generative Catalogs: redesign your entire product catalog and DPA in minutes. — https://nitter.net/danpantelo/status/2039010334908850327#m
→ View original post on X — @aihighlight, 2026-03-31 18:17 UTC
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New arXiv Paper and Official Launch of ARC Prize
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arXiv paper: arxiv.org/abs/2603.24621 ARC Prize official page: arcprize.org/blog/arc-agi-3-launch [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-03-31 16:46 UTC
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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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Contra Labs: First Frontier Data and Evaluation Lab for Creative AI
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Introducing Contra Labs.
— ben (@contraben) 31 mars 2026
The first frontier data and evaluation lab for Creative AI. pic.twitter.com/4AYT4WG1FFIntroducing Contra Labs. The first frontier data and evaluation lab for Creative AI.
→ View original post on X — @aihighlight, 2026-03-31 16:44 UTC
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Semantic Collapse: Fixing AI Agent Production Issues at Root
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Semantic collapse is killing production agents and this team is actually fixing it at the root.
— AI Highlight (@AIHighlight) 31 mars 2026
Not patching it. Fixing it. https://t.co/4Vbq4v9q5YSemantic collapse is killing production agents and this team is actually fixing it at the root. Not patching it. Fixing it. Nishkarsh (@contextkingceo) AI agents are failing in production…not a surprise. As you scale your knowledge base, embeddings start creating noise. It’s called ‘semantic collapse’ – when conversations run too long, you have hundreds of PDFs, millions of data points to give to your AI. Your AI can’t flag it because it doesn’t know it’s hallucinating. Similarity gets passed off as relevance. Fix your context. Make your agents work. Build intelligent AI. If your AI is plateauing at 50% accuracy and hallucinations are still a problem, let's talk. Book a 20 minute demo with the link in the next thread. We'll dig into your setup and find out how we can help. — https://nitter.net/contextkingceo/status/2038979631144116613#m
→ View original post on X — @aihighlight, 2026-03-31 15:31 UTC
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Anthropic Package Removal: GitHub Archive Remains Permanent
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Anthropic pulled the package and deleted older versions from the registry but the GitHub archive is already permanent. That's how npm incidents work in 2026 and they know it.
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The paradox of watching AI work: fascinating yet unsettling
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Staring at the monitor while it works is somehow both the best and most unsettling part of the whole experience
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Grok’s Benchmark Success: Context and Limitations
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The post frames this as Grok taking over but the benchmark is one specific slice of agentic performance. Useful signal, not the whole picture.
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Windows Developers Face Familiar Tech Initiative Pattern Amid AI Focus
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Windows developers have seen this energy before, UWP, WinUI, Project Reunion, all started with similar momentum before losing executive sponsorship quietly. The difference this time is it aligns with hardware strategy, AI integration and competitive pressure against Apple