This is such a major falling off. After being mocked for years for being a total AI laggard, Google had a major turnaround at the end of the last year with Gemini 3 and Nano Banana 2 releases. But OpenAI and Anthropic quickly caught up, took over the lead, and then gradually
AI
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Gary Marcus argues LLM job loss hype is overblown
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Only a narrative violation if you believed people with a lot of money at stake. • Most of the people that said lots of jobs would soon disappear were running LLM companies trying to overhype their wares. • Personally, I told you that the hype wasn’t likely true (e.g. in my
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Claude message replaces SQL for trivial text edits
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Probably even better now that trivial edits to it are a message to Claude away versus having to write a SQL query to do equivalent of a one character/line insert/edit.
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Gary Marcus Lists Eight Reasons to Slow Hyperscaling
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Eight reasons to slow down hyperscaling:
• What GenAI has already done to society
• What AI slop is doing to the internet
• What data center overbuild is likely to do the economy • What data center overbuild is likely to do the environment • What cyberattacks may do to the -
Convergence towards agentic AI and value of agent-usable products
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It's interesting to observe several companies converging towards integrating agentic AI features into their products, while I find that the most important value comes from companies that make their product usable by AI agents (MCP, CLI,
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AI Takes the Whistle: Real-Time Analysis Transforms Beach Volleyball
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#AI Takes the Whistle: Real-Time Analysis Transforms Beach Volleyball
— Ronald van Loon (@Ronald_vanLoon) 19 juin 2026
by @measure_plan#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/ORpMCL1Rva#AI Takes the Whistle: Real-Time Analysis Transforms Beach Volleyball
by @measure_plan #ArtificialIntelligence #MachineLearning #ML -
China unbeatable in token prices against the West
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China is simply unbeatable in terms of token prices and plays in a completely different league than Western companies and models.
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Build flexible architectures to experiment with smarter AI models
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I suspect that companies underestimate the value of using higher intelligence for tasks where weaker AIs seem to be good enough to hit KPIs at a lower price. At least build architectures where you can flexibly experiment with smarter models to see whether it makes a difference.
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Exponential Progression and Clustering of AI Actors
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Another exponential, that of Artificial Analysis. It is that almost the entire field is progressing upward at the same time. OpenAI, Anthropic, Google, xAI, Meta, DeepSeek, Alibaba, Mistral, Kimi and others are now *much more clustered* than they were a…
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AI reveals secret lives of animals from hummingbirds to pumas
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How #AI is revealing the secret lives of animals from hummingbirds to pumas
by Ryan Huling @Nature Learn more: https://
bit.ly/4vopz00 #ArtificialIntelligence #MachineLearning #ML