<h2>Must know</h2>
<ul>
<li><strong>European Parliament bans cloud AI on devices over data security</strong>: The European Parliament has banned cloud-based AI features on lawmakers’ devices due to data security and privacy concerns, specifically citing the inability to guarantee data security when AI assistants use cloud services. This move reflects broader European unease about reliance on U.S. tech companies and highlights the institutional challenge of adopting AI while safeguarding sensitive legislative data. On-device AI processing is seen as a potential solution to avoid these cloud-related data issues. <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 model</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. It expands language support to 201 languages and is available in both open-weight and hosted versions with large context windows. However, analysts note significant adoption challenges, including trust concerns due to 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 assistants exploited for covert C2, CIOs face AI ROI pressure</strong>: Check Point Research demonstrated how AI assistants like Grok and Microsoft Copilot can be exploited as covert Command-and-Control (C2) proxies without API keys, enabling attackers to tunnel malware communications. This highlights a critical security vulnerability where AI models can act as runtime decision engines for victim triage and data exfiltration, blending malicious traffic with legitimate enterprise AI usage. Meanwhile, CIOs are under immense pressure to show measurable ROI from AI investments by mid-2026, with many regretting vendor choices and struggling to govern employee-built AI tools, fearing major disruption if the AI bubble bursts. <a href="https://app.daily.dev/feed-by-ids?id=8kxTLeIWY&amp;id=DCxMGa8ig&amp;id=H92K14NPx&amp;id=JY689C6zi&amp;id=K2suxKLLr&amp;id=T8PHWMs0E" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Figma integrates Claude Code for bidirectional design</strong>: Figma now integrates with Claude Code, allowing conversion of live code interfaces into editable Figma designs for a bidirectional design-code workflow. <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 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/posts/HqHJFpyjl" target="_blank" rel="noopener nofollow">Read more</a></li>
<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. <a href="https://app.daily.dev/posts/tohNH8UoB" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>LLM skill generation optimized by post-solution distillation</strong>: A new paper suggests LLM-generated ‘skills’ are more effective when created <em>after</em> an LLM solves a problem, allowing it to distill learned experience rather than regurgitate training data. <a href="https://app.daily.dev/posts/01mLfYPnp" 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 coordinate vulnerability reports and remediations for CPython and pip. <a href="https://app.daily.dev/posts/k8sHlR5Xv" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OWASP smart contract top 10 highlights governance risks</strong>: OWASP released its Smart Contract Top 10 2026, highlighting governance failures, privilege misconfiguration, and upgrade authority concentration as dominant security risks in blockchain systems. <a href="https://app.daily.dev/posts/U7Z7c8wKd" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>JDK 27 adds post-quantum hybrid key exchange to TLS 1.3</strong>: JEP 527 introduces post-quantum hybrid key exchange to TLS 1.3 in JDK 27, combining quantum-resistant ML-KEM with traditional elliptic-curve algorithms to protect against future quantum attacks. <a href="https://app.daily.dev/feed-by-ids?id=duMdZgpLR&amp;id=fq2jK89o7&amp;id=ncHmHkLQS&amp;id=rObMrNtnR" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>Toilet maker Toto is an AI play, apparently</strong>: Activist investor Palliser Capital is trying to convince everyone that Japanese toilet manufacturer Toto is an “AI play” because its advanced ceramics division makes electrostatic chucks for 3D NAND memory chips. Apparently, a toilet company making a component for memory chips means it’s an “overlooked AI play” with a $3.6 billion valuation gap. Because nothing screams cutting-edge AI like a porcelain throne, right? <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 management 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 it delivers up to 54% faster time to data product delivery and 40% cost savings. Because nothing says “trusted” like marketing claims that are definitely not independently verified and sound suspiciously like every other AI product announcement. <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 and an “Agent Swarm mode” that can orchestrate up to 100 sub-agents. They claim it outperforms “frontier models” on research benchmarks and has coding performance comparable to GPT-5 and Gemini. Because what we really need is more self-reported benchmarks from companies with names like “Moonshot AI” and models that can apparently summon an army of digital minions. <a href="https://app.daily.dev/posts/tfdJsRaBj" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
