<h2>Must know</h2>
<ul>
<li><strong>European Parliament bans cloud AI on devices</strong>: The European Parliament has banned cloud-based AI features on lawmakers’ corporate devices due to data security and privacy concerns, as their IT department can’t guarantee data security when AI assistants use cloud services. This temporary ban, affecting tools like writing assistants and summarization, highlights broader European unease about reliance on U.S. tech companies and the handling of sensitive legislative data. It signals a pragmatic approach to AI adoption, prioritizing security over convenience, and suggests on-device AI processing as a potential solution. <a href="https://app.daily.dev/posts/NW6nIRqB9" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Alibaba launches Qwen3.5 multimodal AI</strong>: Alibaba has released Qwen3.5, a new multimodal AI model designed for enterprise agent workflows, claiming benchmark improvements over GPT-5.2, Claude 4.5 Opus, and Gemini 3 Pro. Available in both open-weight and hosted versions with context windows up to 1 million tokens, it expands language support to 201 languages. While analysts see strong potential for structured enterprise workflows, they also highlight adoption challenges due to trust concerns regarding its Chinese origin, limited global ecosystem maturity, and compliance requirements for data residency and governance. <a href="https://app.daily.dev/posts/UOocLbfK4" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI accelerates code generation, but also technical debt</strong>: AI agents are accelerating code generation but also amplifying existing software pipeline problems if engineering fundamentals like testing, security, observability, and CI/CD are weak. This can turn AI into a “technical debt accelerator,” according to sources like S6u98Bbpq. Senior engineers are now tasked with mentoring newcomers who enter through AI tools to maintain architectural rigor, and programming languages may evolve to optimize for both human and AI agent readability. <a href="https://app.daily.dev/feed-by-ids?id=S6u98Bbpq&amp;id=ZrBLHCGzU&amp;id=vtqAmTWpP&amp;id=xGLYUerTw" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Meta deploys Nvidia Grace CPUs for AI workloads</strong>: Meta is deploying Nvidia’s Grace CPUs as standalone processors at scale for general-purpose and agentic AI workloads, marking a shift from the typical Grace-Hopper Superchip configuration and delivering 2x performance per watt. <a href="https://app.daily.dev/posts/tohNH8UoB" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Python security team seeks new members</strong>: The Python Security Response Team (PSRT) is actively seeking new members with security expertise to help coordinate vulnerability reports and remediations for CPython and pip, having published 16 advisories in the past year. <a href="https://app.daily.dev/posts/k8sHlR5Xv" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Figma integrates Claude Code for bidirectional design</strong>: Figma now supports converting live code interfaces from Claude Code into editable Figma designs, enabling a bidirectional workflow from code-first exploration to collaborative canvas-based design iteration. <a href="https://app.daily.dev/feed-by-ids?id=iBUqWA8OS&amp;id=jwuzwzVmy" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Temporal raises $300M for AI workflow orchestration</strong>: Temporal secured $300M in Series D funding at a $5B valuation, driven by a 380% YoY revenue growth and demand for Durable Execution in AI and long-running workflows, with companies like OpenAI using it for AI agent orchestration. <a href="https://app.daily.dev/feed-by-ids?id=Btt27SjiL&amp;id=H860fyfMj&amp;id=HqHJFpyjl&amp;id=ME7WSXyrj&amp;id=O7fDdRA8l&amp;id=X1zVEwts3" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>DJI robot vacuum vulnerability exposed by AI</strong>: A hobbyist, using Claude AI, accidentally exposed a vulnerability in DJI’s MQTT broker while reverse-engineering a robot vacuum, granting access to 7,000 devices across 24 countries, including live camera feeds and floor plans, due to missing access controls. <a href="https://app.daily.dev/posts/sfYExhzMO" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OWASP highlights smart contract governance risks</strong>: The OWASP Smart Contract Top 10 2026 framework identifies governance failures, privilege misconfiguration, and upgrade authority concentration as dominant security risks in blockchain systems, based on hundreds of millions in losses from 2025 exploits. <a href="https://app.daily.dev/posts/U7Z7c8wKd" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Linux 7.0 optimizes close_range system call</strong>: Linux 7.0 introduces a performance optimization for the <code>close_range</code> system call, reducing its complexity from O(range size) to O(active file descriptors) by utilizing <code>find_next_bit()</code> on the <code>open_fds</code> bitmap, significantly speeding up operations on sparse file descriptor tables. <a href="https://app.daily.dev/posts/2IrhD5aAX" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>Toilet maker Toto is an “AI play” now</strong>: Activist investor Palliser Capital claims Japanese toilet manufacturer Toto is an “AI play” due to its advanced ceramics division, which produces electrostatic chucks for 3D NAND memory chip manufacturing. Apparently, a toilet maker is now a tech darling because they make a component for chips. Who knew the future of AI was in the bathroom? <a href="https://app.daily.dev/posts/08TkDSLKo" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Quest Software launches AI-powered data platform</strong>: Quest Software launched its “Trusted Data Management Platform” with an “Automated Data Product Factory” that uses generative AI to create data products from natural language prompts. They claim up to 54% faster delivery and 40% cost savings. Because nothing says “trusted” like letting an AI generate your data products from a prompt, and those efficiency numbers sound totally verifiable. <a href="https://app.daily.dev/posts/wlE5eAAsI" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Moonshot AI launches Kimi K2.5 multimodal LLM</strong>: Moonshot AI launched Kimi K2.5, an open-weight multimodal LLM with vision capabilities, claiming its coding performance is comparable to GPT-5 and Gemini, and it features an “Agent Swarm mode” orchestrating up to 100 sub-agents. They also claim it outperformed “frontier models” on research benchmarks. Self-reported benchmarks from a company named “Moonshot AI”? What could possibly go wrong? <a href="https://app.daily.dev/posts/tfdJsRaBj" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
