<h2>Must know</h2>
<ul>
<li><strong>Anthropic’s agent skills and the quest for AI-resistant evaluations</strong>: Anthropic is pushing its ‘Agent Skills’ paradigm, packaging domain expertise into reusable, context-efficient modules for AI agents, with rapid deployment in financial services and healthcare. They even plan to open-source this standard. Meanwhile, their performance engineering team is in an arms race with their own Claude models, constantly redesigning technical evaluations because Claude Opus 4 and 4.5 keep acing them. It seems human reasoning still has an edge in unconventional puzzles, but for how long? This highlights the ongoing challenge of distinguishing top human talent from increasingly capable AI, as reported by Anthropic. <a href="https://app.daily.dev/feed-by-ids?id=lvPOiATWV&amp;id=vA7gH0M1s" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents are here to code, but who’s watching the store?</strong>: GitHub released a multi-platform SDK for Copilot, enabling integration of its agentic workflows into Python, TypeScript, Go, and .NET applications, complete with orchestration and programmatic file edits. This means AI agents can now write production code autonomously, with tools like Agent Flywheel setting up entire AI coding environments in minutes. However, this rapid AI-driven development raises serious concerns about security and data privacy, especially when non-developers are churning out applications without understanding potential vulnerabilities, as highlighted by ThePrimeTime. It’s like giving guns to people who’ve never seen them before. <a href="https://app.daily.dev/feed-by-ids?id=GXXnGjqMp&amp;id=GuG7K2ryZ&amp;id=xBP8EMs83&amp;id=RlSMmScC7" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Google’s AI mode wants to read your Gmail and photos</strong>: Google launched AI Mode with Personal Intelligence for its AI Pro and AI Ultra subscribers in the U.S., allowing the AI to access users’ Gmail and Google Photos. The feature, which is opt-in, can suggest vacation itineraries from hotel bookings or recommend shopping items based on travel plans. Google assures users it only trains on specific prompts and responses, not entire inboxes or photo libraries. This move, while framed as a personalization boon, raises obvious questions about data privacy and the extent of AI’s access to personal information, with no independent verification of Google’s claims. <a href="https://app.daily.dev/posts/Kw6SK0Mqr" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Inferact raises big bucks for open-source AI inference</strong>: Inferact secured $150 million in seed funding at an $800 million valuation to commercialize vLLM, an open-source inference optimization tool, with Amazon already using it for its cloud service and shopping app. <a href="https://app.daily.dev/posts/qqbAFhp2s" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Microsoft’s new speech-to-text model for long audio</strong>: Microsoft launched VibeVoice-ASR, a unified speech-to-text model that processes up to 60-minute audio files in a single pass, offering automatic speech recognition, speaker diarization, and timestamping. <a href="https://app.daily.dev/posts/zq6H3l6U4" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents for context-aware vulnerability assessment</strong>: ZEST Security introduced AI Sweeper Agents that use specialized AI to identify truly exploitable cybersecurity vulnerabilities within specific IT environments, claiming to dismiss millions of non-actionable vulnerabilities. <a href="https://app.daily.dev/posts/LDTl5G8Jm" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI-powered scheduling and calendar negotiation</strong>: Blockit, an AI-powered scheduling platform founded by a former Sequoia partner, launched with $5 million in seed funding, using AI agents to negotiate meeting times based on user preferences and email tone. <a href="https://app.daily.dev/posts/R9REfjqEf" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Feast joins PyTorch ecosystem for better feature management</strong>: Feast, an open-source feature store, integrated with the PyTorch Ecosystem to provide a unified API for consistent feature management across AI model training and deployment, aiming to reduce training-serving skew. <a href="https://app.daily.dev/posts/dPG1hvjH4" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>BoxLang AI v2 brings autonomous agents to JVM</strong>: BoxLang AI v2, a major update to the JVM AI framework, introduces autonomous AI agents with memory and tool usage, supporting 12+ AI providers and multi-tenant vector memory management with RAG. <a href="https://app.daily.dev/posts/rm0dNUEhj" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>X open-sources its ‘For You’ recommendation algorithm</strong>: X (formerly Twitter) open-sourced the core algorithm behind its ‘For You’ feed, which uses a Grok-based transformer model to predict user engagement and combine in-network and out-of-network content. <a href="https://app.daily.dev/posts/bWr6u6kKf" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI agents are not ready for prime time, says benchmark</strong>: Mercor’s new Apex-Agents benchmark, designed to test AI models on ‘real-world white-collar tasks,’ found that leading models like Gemini 3 Flash and GPT-5.2 achieved a whopping 24% accuracy. Apparently, AI agents ‘cannot reliably replace knowledge workers in complex, multi-tool tasks.’ Who would’ve thought that AI, which struggles with basic reasoning, might not be ready to take over consulting and investment banking? But hey, at least they’re making ‘rapid progress,’ so we can all look forward to 25% accuracy next year. <a href="https://app.daily.dev/posts/OsmrZ9UpM" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI will make your brain mush, says MIT</strong>: A study from MIT Media Lab claims that using ChatGPT for essay writing leads to ‘cognitive debt,’ with users showing weaker brain connectivity, underperforming on neural and linguistic measures, and feeling less ownership of their work. So, if you’re letting AI write your essays, prepare for your brain to turn into a soggy noodle. Apparently, search engines are fine, but the moment an LLM touches your thoughts, your cognitive engagement plummets. Maybe we should just go back to quill and parchment to preserve our precious brain cells. <a href="https://app.daily.dev/posts/k6I32Qj23" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Prompt engineering is now ‘infrastructure,’ because everything is infrastructure</strong>: According to some, ‘prompt engineering’ is now so critical it needs to be treated as ‘version-controlled infrastructure’ through ‘Agent Skills’ and integrated into CI/CD pipelines. Because, you know, writing a good prompt is just as complex and foundational as managing Kubernetes clusters. This is apparently how we bridge the gap between ‘manual coding’ and ‘high-velocity AI-assisted development.’ So next time you’re struggling with a YAML file, just remember, it’s basically the same as trying to get ChatGPT to write a haiku about your database schema. <a href="https://app.daily.dev/posts/m5IRqcNSP" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
