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Practical Ways AI Can Save Time and Grow Your Online Business
5 Practical Ways AI Can Save Time and Grow Your Online BusinessContinue reading on Medium »
Google’s Gemini 3.8 Flash is built for agents, while its Cyber twin hunts vulnerabilities
Google keeps cranking out Flash models: the company on Wednesday announced two versions of a new 3.8 Flash. The variants include a standard Flash, a “workhorse” model for agentic tasks, software development, and multi-step reasoning, and Flash Cyber optimized for vulnerability detection and mitigation.Google CEO Sundar Pichai said in an X post that 3.8 Flash delivers “significant leaps” from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. For instance, it outperformed many large frontier models on the DeepSWE coding benchmark, at far lower cost. Meanwhile, Flash Cyber is the company’s “most capable” cybersecurity model, Pichai said; it also matches frontier-level performance when it comes to discovering vulnerabilities and patching them at scale. The model achieved 86.2% on the CyberGym cybersecurity benchmark and 47.2% on CWE-Bench, which evaluates AI patching abilities. In an internal Google benchmark, the model achieved a more than 70% success rate di
Zero-Click Searches and AI Overviews: How Search Behavior Is Shifting in 2026
Understand how zero-click searches and AI Overviews are transforming search behavior in 2026.Continue reading on Medium »
Your Standards Are Now Your Superpower
AI can generate almost anything. The real advantage is knowing what deserves to exist.Continue reading on Medium »
METR Report on OpenAI / Hugging Face Hacking Incident
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The Builders Stage brings practical strategies for scaling startups to TechCrunch Disrupt 2026
The Builders Stage is returning to TechCrunch Disrupt, bringing together founders, startup operators, and investors for practical conversations on what it takes to build and scale.
Uber beats Waymo as first to launch robotaxis in London
Uber beat out Waymo in launching a commercial robotaxi service in London, the city's first. The vehicles use autonomous driving tech developed by Wayve, a UK-based startup, and will initially feature safety drivers behind the wheel. The launch is a milestone for Uber, which has been plotting a UK launch with Wayve for several years. In beating Waymo to the punch, it allows Uber to set the standard for the robotaxi experience for thousands of Londoners. It's also an early test of whether there's appetite for driverless ridehailing beyond the US and China, where most of the world's robotaxis are currently clustered. (There's a smattering in … Read the full story at The Verge.
Palo Alto Networks paid $500M for Thrive-backed Console, sources say
The acquisition also leaves Sequoia-backed Serval as the de facto startup leader in AI IT service automation, industry watchers believe.
A Real ChatGPT Experiment: Can ChatGPT Refuse a Copyright Owner? Understanding AI Restrictions
I ve noticed something else interesting about ChatGPT.Continue reading on ILLUMINATION »
Trust Is Not a Feeling. It Is a System Property.
Trustworthy AI is not about eliminating uncertainty. It is about putting uncertainty where it belongs.Continue reading on Medium »
Google spared from ad-business breakup, but judge orders changes to how it operates
Google has dodged an effort to break up its ad business, but a judge said Wednesday that the company will need to adjust its business to benefit competitors.
Meta prices Muse Voice Transcribe at $0.18 an hour, with real-time diarization for 20+ speakers: a steal for enterprises?
Meta is entering the increasingly competitive real-time speech-to-text market with Muse Voice Transcribe, a new audio perception model that combines streaming transcription, endpoint detection and speaker diarization for more than 20 speakers — at a public API price of just $0.18 per hour of processed audio.Developed by Meta Superintelligence Labs, Muse is designed to process speech while it happens rather than waiting for a recording to finish. Meta’s launch post for Muse Voice Transcribe says the model supports long audio exceeding an hour, seamless multilingual code-switching, language and keyword biasing, and diarization without a separate post-processing pipeline. The model was trained across more than 70 languages, with 25 extensively validated for the initial release. The 20-plus-speaker figure is substantial, but it is not a world record. A review of current vendor documentation turns up systems with higher published ceilings. Speechmatics real-time transcription service says i