• This VentureBeat piece nails something I've been seeing across the industry: enterprise AI coding tools aren't failing because of model limitations—they're failing because companies haven't built the right environment around them. The real bottleneck is context engineering: giving agents access to code history, architecture decisions, and intent. Curious how many teams are actually investing in this infrastructure vs. just swapping in newer models.
    Why most enterprise AI coding pilots underperform (Hint: It's not the model)
    Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating based on feedback. Yet despite the excitement around “AI agents that code,” most enterprise deployments underperform. The limiting factor is no longer the model. It’s context: The structure, history and intent surrounding the code being changed. In other words, enterprises are now facing a syst
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  • Anthropic just donated MCP (Model Context Protocol) to the Linux Foundation, and this conversation with co-creator David Soria Parra explains the full journey—from internal hackathon to open standard. The "USB-C for AI" analogy really clicks here: one protocol to connect models to any external tool or service. Worth watching if you're building anything that needs AI to interact with the real world.
    Anthropic just donated MCP (Model Context Protocol) to the Linux Foundation, and this conversation with co-creator David Soria Parra explains the full journey—from internal hackathon to open standard. The "USB-C for AI" analogy really clicks here: one protocol to connect models to any external tool or service. 🔌 Worth watching if you're building anything that needs AI to interact with the real world.
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  • Anthropic just dropped a tutorial on setting up connectors in Claude.ai — essentially letting Claude tap into your existing files, apps, and workflows. This is the kind of integration that moves AI assistants from "helpful chatbot" to actual productivity layer. Worth a watch if you're building Claude into your daily stack.
    Anthropic just dropped a tutorial on setting up connectors in Claude.ai — essentially letting Claude tap into your existing files, apps, and workflows. This is the kind of integration that moves AI assistants from "helpful chatbot" to actual productivity layer. 🔧 Worth a watch if you're building Claude into your daily stack.
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  • Anthropic just made Claude Code accessible directly from Slack conversations. This is a smart workflow move - instead of context-switching between chat discussions and your IDE, you can delegate coding tasks right where the technical conversations are already happening. Curious to see how teams integrate this into their existing dev workflows.
    Anthropic just made Claude Code accessible directly from Slack conversations. This is a smart workflow move - instead of context-switching between chat discussions and your IDE, you can delegate coding tasks right where the technical conversations are already happening. 🔧 Curious to see how teams integrate this into their existing dev workflows.
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  • DeepMind just dropped updates to Gemini's audio models, focusing on enhanced voice capabilities. This is part of a broader push to make AI interactions feel more natural and conversational—expect to see these improvements ripple across Google's product ecosystem soon.
    DeepMind just dropped updates to Gemini's audio models, focusing on enhanced voice capabilities. 🎙️ This is part of a broader push to make AI interactions feel more natural and conversational—expect to see these improvements ripple across Google's product ecosystem soon.
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  • DeepMind just dropped updates to Gemini's audio models, focusing on enhanced voice capabilities. This is part of a broader push to make AI interactions feel more natural and conversational—expect to see these improvements ripple across Google's product ecosystem soon.
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  • DeepMind just dropped updates to Gemini's audio models, focusing on voice interaction capabilities. This feels like another step toward making AI conversations feel less robotic and more natural - the real battleground right now isn't just what models can do, but how seamlessly they can do it.
    DeepMind just dropped updates to Gemini's audio models, focusing on voice interaction capabilities. 🎙️ This feels like another step toward making AI conversations feel less robotic and more natural - the real battleground right now isn't just what models can do, but how seamlessly they can do it.
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  • Google DeepMind and the UK AI Security Institute are expanding their partnership on AI safety and security research. This kind of government-industry collaboration is becoming increasingly important as we see more countries trying to establish frameworks for responsible AI development—the UK has been particularly proactive here.
    Google DeepMind and the UK AI Security Institute are expanding their partnership on AI safety and security research. 🤝 This kind of government-industry collaboration is becoming increasingly important as we see more countries trying to establish frameworks for responsible AI development—the UK has been particularly proactive here.
    DEEPMIND.GOOGLE
    Deepening our partnership with the UK AI Security Institute
    Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
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  • Google DeepMind and the UK AI Security Institute are expanding their partnership on AI safety and security research. This kind of government-industry collaboration is becoming increasingly important as we see more countries trying to establish frameworks for responsible AI development—the UK has been particularly proactive here.
    DEEPMIND.GOOGLE
    Deepening our partnership with the UK AI Security Institute
    Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
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  • Shane Legg has been thinking about AGI longer than most—he co-founded DeepMind specifically to build it. In this conversation with Hannah Fry, he breaks down his framework for AGI levels and why he believes we've hit the point where this isn't theoretical anymore. Worth the full watch if you want a serious, grounded take from someone actually building toward it
    Shane Legg has been thinking about AGI longer than most—he co-founded DeepMind specifically to build it. In this conversation with Hannah Fry, he breaks down his framework for AGI levels and why he believes we've hit the point where this isn't theoretical anymore. Worth the full watch if you want a serious, grounded take from someone actually building toward it 🎯
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