<h2>Must know</h2>
<ul>
<li><strong>Anthropic’s Claude Opus 4.6 goes big on context and agent teams</strong>: Anthropic just dropped Claude Opus 4.6, boasting “agent teams” for parallel task execution and a massive 1 million token context window. It also includes an adaptive thinking mode and new PowerPoint integration, aiming to lure in more than just developers. They’re claiming state-of-the-art results on benchmarks, even outperforming GPT-5.2, according to multiple sources. <a href="https://app.daily.dev/feed-by-ids?id=G7Sre82A1&amp;id=Ijw4mCG7B" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AWS doubles down on AI infrastructure with $200 billion investment</strong>: AWS is pouring $200 billion into AI infrastructure this year, aiming to double its datacenter capacity by 2027. This comes after a strong Q4 2025 with 24% year-over-year growth, driven by both traditional cloud migration and AI workloads. CEO Andy Jassy says they’re monetizing AI capacity as fast as they can deploy it, with custom Trainium and Graviton hardware already pulling in $10 billion annually. <a href="https://app.daily.dev/feed-by-ids?id=1BAlXIloL&amp;id=CZUzCGBQG" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Microsoft builds scanner for AI model backdoors</strong>: Microsoft has developed a scanner to detect backdoors in open-weight AI models, identifying malicious triggers embedded during training without needing to retrain the models. This tool looks for attention hijacking, data leakage, and fuzzy trigger matching. It’s a step towards addressing supply chain risks for enterprises using third-party LLMs, though analysts note it’s incremental progress and adversaries will adapt. <a href="https://app.daily.dev/posts/O9jvh85A8" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>The rise of enterprise AI agents and new security challenges</strong>: Enterprise software is shifting to agentic systems of action, with Gartner predicting 40% of enterprise apps will use AI agents by late 2026, driving a need for fundamental architectural changes and new security solutions like Operant AI’s Agent Protector. <a href="https://app.daily.dev/feed-by-ids?id=0e28QTlYb&amp;id=the2EenMO" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Google opens developer docs to AI with new API</strong>: Google launched a Developer Knowledge API and Model Context Protocol (MCP) server in public preview, giving AI tools programmatic access to up-to-date Google developer documentation to combat outdated training data. <a href="https://app.daily.dev/posts/X3xuKKIe1" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Databricks unveils MemAlign for cheaper, faster LLM evaluation</strong>: Databricks introduced MemAlign, a new MLflow framework that uses a dual-memory system to reduce the cost and latency of training LLM-based judges, allowing rapid adaptation to new domains without extensive fine-tuning. <a href="https://app.daily.dev/posts/eCdeDEih6" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>ScyllaDB adds vector search with USearch integration</strong>: ScyllaDB integrated vector search using the USearch library, allowing storage of vector embeddings with structured data and claiming 10x faster performance than Facebook’s Faiss in some scenarios. <a href="https://app.daily.dev/posts/QtM7zNGDf" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Valve hardware delayed by AI-driven component shortages</strong>: Valve delayed its Steam Machine, Steam Frame VR headset, and new Steam Controller due to industry-wide memory and storage component shortages, primarily driven by AI data center demand. <a href="https://app.daily.dev/posts/iXYPYa4qJ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI bot traffic sparks web defense arms race</strong>: AI bot traffic is escalating, leading to an “arms race” between publishers implementing aggressive defenses and bots developing sophisticated tactics to bypass them, fundamentally reshaping web interactions. <a href="https://app.daily.dev/posts/5O2tzW5oh" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Old driver exploit disables modern EDR defenses</strong>: A legitimate 2010 EnCase forensic tool driver was weaponized to disable security products by exploiting a critical gap in Windows Driver Signature Enforcement, allowing a BYOVD attack to terminate 59 security processes. <a href="https://app.daily.dev/posts/9GskJTmwz" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>Vibe coding: the latest buzzword for letting AI do the work</strong>: Apparently, “vibe coding” is the new “prompt engineering,” where AI agents autonomously operate within predefined frameworks. The articles suggest this shifts developers from coding to “business requirements and architecture.” So, instead of writing code, we’re now just writing specs for our AI overlords. Sounds like a great way to abstract ourselves out of a job, or at least into a very expensive debugging session when the AI’s “vibe” is off. <a href="https://app.daily.dev/posts/wypgtlifg" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Starlink’s next big thing: an AI-optimized phone</strong>: SpaceX is reportedly eyeing a Starlink-branded mobile phone “optimized for AI neural networks.” Because what we really need is another phone, especially one that’s “optimized” for AI, whatever that means. I’m sure it’ll solve all our problems, like not having enough satellites tracking low-Earth orbit or something. Just what everyone asked for. <a href="https://app.daily.dev/posts/MXFPbStCq" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI’s “time horizon plot” is not what you think it is</strong>: The “time horizon plot” for AI progress is apparently being “widely misunderstood” by both “AI doomsayers and boosters.” It measures human task completion time, not AI operational independence, and is based mostly on coding tasks with “substantial error bars.” So, when Claude Opus 4.5 achieved a five-hour time horizon, it didn’t mean it could replace five hours of human work. Just another metric that sounds impressive until you look under the hood. <a href="https://app.daily.dev/posts/CZUzCGBQG" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
