extremely important We now need a second axis for AI evaluations: cost or time, and not just performance. Previously, models were weak enough that the only relevant question was: can they accomplish the
MARKET TRENDS
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AI workplace excitement meets ROI skepticism at Asana summit
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There is a lot of excitement around AI in the workplace, but many leaders are still asking the same question: where is the ROI?
— Bernard Marr (@BernardMarr) 9 juin 2026
At Asana’s Work Innovation Summit in London, this question came up again and again. The research shared by Asana highlights the challenge clearly: 66%… pic.twitter.com/AmXO1C51OfThere is a lot of excitement around AI in the workplace, but many leaders are still asking the same question: where is the ROI? At Asana’s Work Innovation Summit in London, this question came up again and again. The research shared by Asana highlights the challenge clearly: 66%
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TensorFlow vs PyTorch: Choosing Your ML Framework
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#TensorFlow Vs #PyTorch: Choosing Your ML Framework. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/TensorFlow-Vs-
PyTorch
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Google Search gets biggest upgrade in 25 years with AI intent-based experience
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The search box is getting its biggest upgrade in 25 years. @Google is moving from keyword matching to a fully agentic, intent-based experience powered by @GeminiApp.
— Harold Sinnott 📱 (@HaroldSinnott) 9 juin 2026
Search isn't just about finding links anymore; it's about building custom solutions. #AI
Check out the full… https://t.co/XgghNyUf1zThe search box is getting its biggest upgrade in 25 years. @Google is moving from keyword matching to a fully agentic, intent-based experience powered by @GeminiApp
. Search isn't just about finding links anymore; it's about building custom solutions. #AI Check out the full -
Gratitude for focus on real problems over wrappers and agents
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I am glad more and more people are starting to tackle the actual real problems rather than building wrappers and “agents”
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OpenAI enters third phase as economy reshapes around AI
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OpenAI is "entering the third phase. The economy is beginning to reshape around AI." – The first phase of OpenAI was about doing research toward AGI
– The second phase began when the research became relevant to the real world and OpenAI became a product company Their goal for -
DeepAgent for competitive analysis
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deepagent for competitive analysis https://t.co/5WCFalQKTd
— Harrison Chase (@hwchase17) 8 juin 2026deepagent for competitive analysis
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Recursive self-improvement imminent until Anthropic IPO
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Recursive self-improvement is imminent until Anthropic IPOs.
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Apple’s AI problem not yet an iPhone problem, but for how long?
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Happy #WWDC26 day! Something to think about as the keynote gets underway: @Apple
’s AI problem still hasn’t become an iPhone problem. And so far that's fine, but for how long? Read more in today's @BigTechnology preview from me and @Kantrowitz
: https://
bigtechnology.com/p/apples-wwdc-
reality-scaled-down-ai
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Tau Scaling: AI inference as system-level time problem in post-Moore era
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My takeaway: AI inference is no longer just a model problem. It's a system-level time problem. For enterprise leaders, AI performance and AI economics are becoming inseparable. Learn more about Tau Scaling and what it means for the post-Moore era: https://
chinaxiv.org/abs/202605.002
24?locale=en
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