<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 significant data security and privacy concerns. Their IT department can’t guarantee data security when AI assistants use cloud services, fearing confidential information could be processed in unknown locations, especially given many AI servers are US-based. This move highlights a pragmatic, security-first approach to AI adoption, prioritizing control over convenience, despite the EU’s own AI Act. <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 offers context windows up to 1 million tokens. However, analysts note potential 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 agents disrupt saas business models</strong>: AI developments are threatening the traditional SaaS per-seat pricing model, with major software companies reportedly losing $1 trillion in market cap due to recent advancements. New AI models like OpenAI’s Codex app and Claude’s Opus 4.6 are enabling agents to replace human seats and automate development workflows. This shift is driving a need for platform-native AI integration and protocol standardization, as seen with OpenAI’s Codex App Server and the Agent Client Protocol (ACP) aiming to unify agent-editor communication. <a href="https://app.daily.dev/feed-by-ids?id=BEYbuELEG&amp;id=LytVQeSZ8&amp;id=V16f6xKqK&amp;id=v0Pl5Xxg1&amp;id=wj4NMewlB" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Temporal raises $300m for AI workflows</strong>: Temporal secured $300M Series D funding at a $5B valuation, driven by demand for Durable Execution in AI and long-running workflows, with companies like OpenAI and ADP 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>Google I/O 2026 announced</strong>: Google I/O 2026 is scheduled as an online event for May 19-20, promising AI breakthroughs, Gemini model updates, agentic coding developments, and product announcements across Android, Chrome, and Cloud. <a href="https://app.daily.dev/posts/S1mq2rdE3" 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>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 coordinate vulnerability reports and remediations for CPython and pip, having published 16 advisories last year. <a href="https://app.daily.dev/posts/k8sHlR5Xv" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OWASP releases smart contract top 10 2026</strong>: OWASP released its Smart Contract Top 10 2026 risk framework, identifying governance failures, privilege misconfiguration, and upgrade authority concentration as dominant security risks in blockchain systems based on 2025 exploit data. <a href="https://app.daily.dev/posts/U7Z7c8wKd" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>GlassFish 8.0 released with jakarta ee 11</strong>: GlassFish 8.0 has been released as a compatible implementation of Jakarta EE 11, requiring JDK 21+ and featuring virtual thread support, Jakarta Data 1.0 integration, and enhanced security. <a href="https://app.daily.dev/posts/c8IbRHUTq" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>Toilet maker is an AI play, says activist investor</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 maker is an “overlooked AI play” if you squint hard enough and want to pump up the stock. Because nothing says cutting-edge AI like a bidet, right? <a href="https://app.daily.dev/posts/08TkDSLKo" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>LLM skills are only good after the fact</strong>: A new paper claims LLM-generated “skills” are only effective if created <em>after</em> the LLM solves a problem, not before. Apparently, pre-generated skills just regurgitate bad assumptions from training data. So, the AI needs to figure it out itself, then tell us how it did it. Revolutionary. Who knew that learning from experience was a good idea? <a href="https://app.daily.dev/posts/01mLfYPnp" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Quest software launches magic AI data platform</strong>: Quest Software launched an “AI-powered” data management platform that supposedly creates data products from natural language prompts and offers up to 54% faster delivery and 40% cost savings. These are, of course, direct marketing claims from Quest Software, completely unverified. Because every data platform needs a generative AI magic wand to make all your data problems disappear, right? Just prompt it and watch the savings roll in! <a href="https://app.daily.dev/posts/wlE5eAAsI" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
