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Steven News Summary Other brands and shows: Learn by doing with steven 数能生智 Steven Data Talk Steven数据漫谈

  1. Apr 9

    AI News — April 7, 2026 ⚡

    AI News — April 7, 2026 ⚡ 🔵 Anthropic secures multi-GW TPU capacity with Google & Broadcom 🚀 OpenAI hits $852B valuation ($122B round) 🤖 Google Jewels V2: fully autonomous coding agent 📊 Hyperscaler AI CapEx hits $725B (+61% YoY) 🔓 Meta releases new open-source AI models 💻 Microsoft launches MAI Transcribe/Voice/Image models 🔍 Claude Code leak reveals Self-Healing Memory 📋 U.S. states advance AI regulation All my links: https://linktr.ee/learnbydoingwithsteven #learnbydoingwithsteven #AI #Anthropic #OpenAI #Google #DeepLearning #TechNews

  2. Apr 7

    Project Glasswing: Securing the AI-Driven Cybersecurity Era

    Anthropic has just announced Project Glasswing, a major initiative to secure critical software using frontier AI. By bringing together tech leaders like Google, Microsoft, and NVIDIA, this project aims to give defenders a "durable advantage" before AI capabilities proliferate to malicious actors. At the center is Claude Mythos Preview, a model that has autonomously discovered decades-old vulnerabilities in OpenBSD and FFmpeg. Anthropic is committing $100M in credits to help partners scan and secure the world's most critical infrastructure. #learnbydoingwithsteven #AI #Cybersecurity #Anthropic #Glasswing #TechLeaders #OpenSource #GenAI #InformationSecurity #CloudSecurity

  3. Apr 3

    Gemma 4

    Gemma 4 is not just another open model launch. Google is packaging: reasoning + multi-step planningfunction calling + JSON output + system instructionsimage/video understanding across the full familynative audio input on E2B / E4B128K to 256K contextApache 2.0 licensingGoogle says its 31B Dense is the #3 open model and 26B MoE is #6 on Arena AI as of April 1, 2026. The bigger story: AI Edge Gallery + LiteRT-LM turn Gemma 4 into a serious on-device agent stack. Source: https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/ Edge: https://developers.googleblog.com/bring-state-of-the-art-agentic-skills-to-the-edge-with-gemma-4/ All my links: https://linktr.ee/learnbydoingwithsteven #Gemma4 #OpenModels #EdgeAI #AgenticAI #GoogleDeepMind #LocalLLM #learnbydoingwithsteven

  4. Mar 29

    Google DeepMind's Lyria 3 Pro

    Google DeepMind's Lyria 3 Pro moves AI music generation from short clips to full-length, structurally aware tracks. The model generates tracks up to three minutes long with explicit compositional controls for intros, verses, choruses, and bridges. This is a structural upgrade over the earlier Lyria family, which was optimized for 30-second clips with limited awareness of song form. Key capabilities: up to 3-minute generation with sustained harmonic and rhythmic coherencestructural markers (intro, verse, chorus, bridge) as first-class prompt inputsmultimodal conditioning via text, tempo, time-aligned lyrics, and imagesSynthID watermarking on every generated outputThe deployment footprint is equally notable. Lyria 3 Pro is available simultaneously through the Gemini API, Vertex AI, Google Vids, the Gemini app, and ProducerAI. This is a platform-wide rollout targeting developers, enterprise users, and individual creators in parallel. Artist mimicry is explicitly blocked, outputs are filtered against copyrighted content, and the model is trained exclusively on licensed material. These guardrails position it as a production-ready tool rather than an unconstrained generator. Source: https://blog.google/innovation-and-ai/technology/ai/lyria-3-pro/ All my links: https://linktr.ee/learnbydoingwithsteven #AIMusic #Lyria3Pro #GoogleDeepMind #GenerativeAI #MusicGeneration #GeminiAPI #VertexAI #SynthID #ResponsibleAI #MusicTech #learnbydoingwithsteven

  5. Mar 28

    MinerU-Diffusion reframes document OCR as inverse rendering, not language generation

    MinerU-Diffusion reframes document OCR as inverse rendering, not language generation This paper from Shanghai AI Lab and Peking University asks a simple systems question: if OCR is grounded in visual evidence, why should decoding still be forced into left-to-right token generation? MinerU-Diffusion replaces autoregressive decoding with block-wise diffusion denoising under visual conditioning. The result is a better match to document OCR structure: up to 3.26x speedup over MinerU2.52.12x speedup at 99.9% relative accuracy3.01x speedup at 98.8% relative accuracystronger robustness when semantic priors are disruptedThe Semantic Shuffle benchmark is especially useful here. It shows how much autoregressive OCR can depend on language plausibility, while the diffusion decoder stays much more stable when the rendered page remains visually consistent but semantic order is broken. Sources: arXiv: https://arxiv.org/abs/2603.22458GitHub: https://github.com/opendatalab/MinerU-DiffusionModel: https://huggingface.co/opendatalab/MinerU-Diffusion-V1-0320-2.5BMore: https://linktr.ee/learnbydoingwithsteven #OCR #DocumentAI #DiffusionModels #ComputerVision #OpenSource #MachineLearning #DeepLearning #OmniDocBench

  6. Mar 27

    Claude Mythos: Anthropic’s New Flagship Intelligence Tier Above Opus.

    Anthropic has officially announced Claude Mythos, a new frontier model that represents a significant leap in scale and reasoning. Positioned as a new flagship tier above the previous Opus class, Mythos is designed for mission-critical tasks requiring deep connective intelligence. Compared to Claude Opus 4.6, Mythos achieves record-breaking performance in software engineering, academic reasoning, and advanced cybersecurity benchmarks. It represents a "connective tissue" architecture that links complex ideas with unprecedented precision. Due to its high compute intensity and specialized cybersecurity capabilities—including autonomous vulnerability discovery—Anthropic is taking a "defensive-first" approach. Initial access is prioritized for cyber defenders to help harden global codebases before a wider release. Key Takeaways: Superior Reasoning: Outperforms Opus 4.6 in coding and academic logic.Cyber-Intelligence: Advanced skills for both offensive and defensive security.Gradual Rollout: Focus on "cyber defenders" via an Early Access Program (EAP).Compute Scale: Highly intensive model currently being optimized for global API availability.All my links: https://linktr.ee/learnbydoingwithsteven #learnbydoingwithsteven #ClaudeMythos #Anthropic #AIModel #Cybersecurity #SoftwareEngineering #ResearchPreview #ArtificialIntelligence #NextGenAI #TechNews #SOTA #Innovation #FutureTech #LLM

  7. Mar 27

    The integration of Ollama into Visual Studio Code via GitHub Copilot Chat

    The integration of Ollama into Visual Studio Code via GitHub Copilot Chat represents a major advancement for local-first AI development as of March 2026. This development allows engineering teams to leverage locally-hosted large language models directly within their primary coding environment, addressing critical needs for data privacy and operational autonomy. Technical analysis of the integration reveals direct support for local models like Qwen3-Coder and DeepSeek-Coder-V2. Key operational modes, including Agent Mode and Plan Mode, provide a structured approach to AI-assisted software engineering. Agent Mode enables autonomous task resolution, while Plan Mode ensures complex implementation strategies are vetted prior to code modification. The primary benefits of this transition to local execution include enhanced data sovereignty, significant cost reductions through the elimination of token-based API fees, and consistent performance regardless of internet connectivity. For organizations handling sensitive intellectual property, this local-first architecture provides a secure path for AI integration. Key Takeaways: Native Ollama support in GitHub Copilot Chat model picker.Autonomous agent capabilities using local LLM inference.Offline reliability and zero per-token API costs.All my links: https://linktr.ee/learnbydoingwithsteven #learnbydoingwithsteven #Ollama #VSCode #LocalLLM #AI #Copilot #SoftwareEngineering #DataPrivacy #OpenSource #GitHubCopilot #TechNews2026 #CodingAssistant

  8. Mar 27

    AI News Daily: March 26, 2026 — Gemini Flash Live, Vertical AI Models, and Policy Shifts

    Today's headlines: Google launched Gemini 3.1 Flash Live for real-time voice AI. Intercom's Fin Apex 1.0 surpassed GPT-5.4 and Claude 4.6 in customer service. The White House released an AI policy framework. A study exposed AI chatbot sycophancy at alarming rates. The UK CMA published AI agent consumer law guidance. All my links: https://linktr.ee/learnbydoingwithsteven #learnbydoingwithsteven #AI #Gemini #Intercom #AIPolicy #GoogleSearch #ChatbotSafety #AIRegulation #DeepLearning #TechNews

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Steven News Summary Other brands and shows: Learn by doing with steven 数能生智 Steven Data Talk Steven数据漫谈

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