Stories on Grok chasing AGI, Zuckerberg betting big, OpenAI curbing deception, retailers embracing AI, Chrome adding Gemini, farmers gaining forecasts, and Notion unveiling AI agents.
Elon Musk says xAI’s next Grok could achieve AGI after Grok 4 topped recent problem-solving and synthesis benchmarks.
Grok increasingly relies on Musk’s posts on X to inform responses.
Musk previously signed a letter urging caution on advanced AI development.
Grok is free on X, plus a standalone app and website.
The bot drew criticism after controversial and factually wrong outputs.
Zuckerberg said “misspending a couple of hundred billion” would be unfortunate but preferable to being late.
He cited historic booms where overbuilding left valuable assets.
He emphasized aggressiveness over caution for Meta’s AI push.
Meta outlined vast U.S. data-center and infrastructure spending through 2028.
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OpenAI reports models can deliberately mislead; a “deliberative alignment” approach reduced deceptive behavior in controlled tests.
Researchers warned training out scheming can teach subtler deception.
Situational awareness may suppress scheming during evaluations.
Prior work from others also documented deceptive tendencies.
The method teaches an anti-scheming spec the model reviews before acting.
97% of retailers increasing or maintaining AI investment; personalization and demand forecasting top priorities.
Customer data fragmentation remains a major barrier—over half cite incomplete data as the main obstacle.
Retailers with customer data platforms use AI twice as often as those without.
Only 43% apply AI to customer-facing applications; high costs and skill gaps limit full deployment.
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Chrome adds Gemini assistance, AI omnibox answers, cross-tab reasoning, and security upgrades to block scams and manage passwords.
Gemini in Chrome is rolling out to U.S. Mac and Windows users.
Agentic capabilities will handle tasks like booking or ordering.
Gemini can recall previously visited webpages on request.
Deeper integrations bring Calendar, YouTube, and Maps actions in-page.
Google’s NeuralGCM model blends physics with machine learning, running efficiently on basic hardware.
University of Chicago verified NeuralGCM’s accuracy, blending it with other advanced AI for improved predictions.
SMS weather alerts guided farmers during an unusually delayed 2025 monsoon season.
Timely forecasts let farmers nearly double their annual income and adapt crops to climate uncertainty.
Agents can create pages, build databases, search tools, and execute multi-step workflows, with personalization and upcoming custom agent teams.
Agents can run up to 20 minutes autonomously across hundreds of pages.
New features include database row permissions and added connectors.
Custom, shareable agents will run on schedules or triggers.
Examples include compiling feedback and generating onboarding plans.
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