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BUSINESS
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Unexpected xAI-Anthropic alliance shows duopoly’s rapid progress
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The unexpected xAI-Anthropic alliance being a good indicator of how rapidly this duopoly progressed.
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Anthropic and OpenAI dominate AI market, only Google and Meta compete
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It is remarkable how quickly this market shook out. Anthropic & OpenAI are in business take-off, at least: they have the model development, enterprise deals, compute deals, government & press attention and consumer recognition. Only potential competition is Google (& maybe Meta)
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Zillow’s 7,000 employees questioned; cheaper 3D home capture proposed
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Why on earth does Zillow have 7,000 employees.
— AI Breakfast (@AiBreakfast) 7 mai 2026
Someone could raise $5M and pay taskers to do 3D capturing for $50 per home with their phone and make 100,000 3D walkable homes in SF/Austin/NYC in about a month, have OpenClaw agents run the entire site with an MLS subscription. https://t.co/2KUJ1JpaBSWhy on earth does Zillow have 7,000 employees. Someone could raise $5M and pay taskers to do 3D capturing for $50 per home with their phone and make 100,000 3D walkable homes in SF/Austin/NYC in about a month, have OpenClaw agents run the entire site with an MLS subscription.
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AI spending triggers market inflection for DevOps and observability sector
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We’ve seen waves in which different parts of tech light up as they are favored with a portion of the enormous spending on artificial intelligence. This morning’s report feels like something of an inflection for “DevOps” and “observability.” Datadog soars as AI-driven outlook the
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AI geniuses by 2028 require hired forward-deployed engineers
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Labs; “we will have a nation of geniuses in a data center by 2028, capable of beating humans at every task, but you will need to hire our newly trained forward-deployed engineers for a six month engagement to deploy them to a single project”
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Underinvestment in enterprise pivot: Labs build consultancies, lack of trust
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Seems like a massively underinvested area in the “pivot to enterprise.” The fact that the Labs are building their own deployment consultancies (which will take a long time) suggests a failure of imagination or a lack of trust that models will be up to that task in coming years.
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AI’s inability to self-consult limits enterprise transformation potential
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The inability of AI systems to act as their own deployment consultants, process mappers, and change management experts is what makes AI use in enterprises so “normal” – the tools are powerful, but you need a lot more to transform enterprises. Possible to imagine that changing .
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Top AI stories: partnerships, trials and tools
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Top stories in AI today: – Anthropic, SpaceX partner in new compute deal
– Mira Murati speaks out in Musk vs. OpenAI trial
– Use Claude Design’s slide decks feature like a pro
– DeepMind picks EVE Online game as next AI testbed
– 4 new AI tools, community workflows, and more -
Agent Swarms use top LLMs to vibe code and build billion-dollar business
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🚨 BREAKING – Agent Swarms Are Multi-Agent Systems That Create Agents with Top LLMs Including
— Abacus.AI (@abacusai) 7 mai 2026
– GPT 5.5
– Opus 4.7
– Sonnet 4.6
– Gemini 3.1
They help you vibe code apps and build a billion dollar business!! pic.twitter.com/uvC6kTVLOJBREAKING – Agent Swarms Are Multi-Agent Systems That Create Agents with Top LLMs Including – GPT 5.5
– Opus 4.7
– Sonnet 4.6
– Gemini 3.1 They help you vibe code apps and build a billion dollar business!!