I was using Opus via Cursor, did an audit with Gemini 3.1 Pro, Opus 4.6 and GPT-5.4. Then I asked Opus to give assessment of the audit quality (anonymously). And I think it 100% nailed the current state of the models: Gemini 3.1 Pro: The weakest. Looked at the screen. Found the
MARKET TRENDS
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Interview with Nvidia CEO on Accelerated Computing
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3-17-2026 An Interview with Nvidia CEO Jensen Huang About Accelerated Computing https://stratechery.com/2026/an-interview-with-nvidia-ceo-jensen-huang-about-accelerated-computing/ [Translated from EN to English]
→ View original post on X — @benthompson, 2026-03-17 10:00 UTC
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Apple and Google sign $1 billion deal to power Siri with Gemini
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Apple and Google quietly confirmed a deal worth ~$1 billion/year. Gemini will power the new Siri — with on-screen awareness, cross-app intelligence, and real context. The world's most-used AI assistant is about to get serious. applemagazine.com/apple-targ… #AI
→ View original post on X — @svenphilipsen, 2026-03-17 10:00 UTC
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T-Mobile Security Coverage Ensures Business Operational Continuity
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Well-framed message, because it shifts the discussion from raw speed to operational continuity. T-Mobile points to a more concrete reality since security and coverage limits emerge exactly when business is most exposed. Solutions like SuperMobile make sense in this context,
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AI Factories: From Training Models to Efficient Inference Everywhere
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At this week’s NVIDIA GTC, much of the conversation will focus on the infrastructure powering the next wave of AI. One concept gaining traction is the idea of “AI factories.” Data centers designed to convert energy and data into intelligence at scale. Ahead of GTC, Alexis sat down with theCUBE Research for a panel to explore that idea and what it means for the future of AI infrastructure. Training builds the models. Inference delivers the value. Every recommendation, vision system, assistant, or autonomous decision happens at inference time. Which means the future of AI infrastructure will not just be about bigger training clusters. It will be about running inference efficiently, everywhere. Watch the conversation: eu1.hubs.ly/H0sHJZQ0 #AIInfrastructure #AIInference #EdgeAI #GTC
→ View original post on X — @axeleraai, 2026-03-17 09:16 UTC
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Discussion on AI compute capacity and research sharing
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Interesting idea, but the compute per lab will still be the same, and why would they share research with competitors?
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Industrial AI Shifts from Experimentation to Operational Deployment
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Industrial AI is entering a new phase where experimentation gives space to real operational deployment. What I find particularly interesting is how ecosystems and skills are converging to turn AI capabilities into practical solutions for industry.
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Anthropic Makes Claude Memory Free with ChatGPT Gemini Import
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Anthropic just made Claude's memory free for everyone — including free users. Even better: you can now import your context and preferences from ChatGPT or Gemini. No starting from scratch. Switching AI assistants just got easier. macrumors.com/2026/03/02/ant… #AI
→ View original post on X — @svenphilipsen, 2026-03-17 08:00 UTC
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AI product adoption benchmarking discussion
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When the tool is good enough, adoption stops being a training problem.
— God of Prompt (@godofprompt) 17 mars 2026
People don't want to stop. That's the benchmark every AI product is racing toward. https://t.co/cg1fYaKCVGWhen the tool is good enough, adoption stops being a training problem. People don't want to stop. That's the benchmark every AI product is racing toward.
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Nvidia Launches Nemotron 3 Super for Enterprise AI Agents
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Nvidia launched Nemotron 3 Super at GTC 2026 — open model, 5× throughput, built for agents. Adobe, Salesforce, and SAP are among the first 17 adopters. Enterprise open AI isn't a future promise. It's here. venturebeat.com/technology/n… #AI
→ View original post on X — @svenphilipsen, 2026-03-17 06:00 UTC