<h2>Must know</h2>
<ul>
<li><strong>AWS invests big in AI infrastructure, reports strong growth</strong>: AWS is pouring $200 billion into AI infrastructure in 2026, aiming to double its datacenter capacity by 2027. This massive investment follows a strong Q4 2025, with revenue up 24% year-over-year, driven by both traditional cloud migration and increasing AI workloads. CEO Andy Jassy noted that AWS is monetizing AI capacity as fast as it’s deployed, highlighting the company’s commitment to leading the AI compute race. <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>Anthropic and OpenAI release new flagship models</strong>: Anthropic launched Claude Opus 4.6 with ‘agent teams’ for parallel task execution and an expanded 1 million token context window, aiming for broader appeal beyond developers. Shortly after, OpenAI released GPT 5.3 Codex, which reportedly outperformed Claude Opus 4.6 by 10% on Terminal Bench 2.0. Both models show significant advancements in agentic tasks, code review, and long-running operations, pushing the boundaries of AI capabilities. <a href="https://app.daily.dev/feed-by-ids?id=G7Sre82A1&amp;id=Ijw4mCG7B&amp;id=CZUzCGBQG" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Old driver flaw disables modern EDR defenses</strong>: Threat actors are exploiting a legitimate, decade-old Windows kernel driver from EnCase to disable security products, bypassing modern Driver Signature Enforcement. This ‘bring-your-own-vulnerable-driver’ (BYOVD) technique leverages Windows’ backward compatibility policies, allowing revoked pre-2015 signed drivers to load. The attack, detected by Huntress, targeted 59 security processes to blind endpoint defenses, underscoring a critical vulnerability in legacy system interactions. <a href="https://app.daily.dev/posts/9GskJTmwz" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>ScyllaDB integrates vector search with USearch</strong>: ScyllaDB now offers vector search capabilities using the open-source USearch library, allowing storage of vector embeddings alongside structured data, leveraging its shard-per-core architecture for performance. <a href="https://app.daily.dev/feed-by-ids?id=pKNE7iWlw&amp;id=xEaqTmGWC" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Google launches developer knowledge API for AI tools</strong>: Google introduced the Developer Knowledge API and Model Context Protocol (MCP) server in public preview, providing AI tools programmatic access to up-to-date Google developer documentation to combat outdated training data issues. <a href="https://app.daily.dev/posts/X3xuKKIe1" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Microsoft develops LLM backdoor scanner</strong>: Microsoft has created a scanner to detect malicious triggers embedded as backdoors in open-weight AI models, identifying attention hijacking patterns, data leakage, and fuzzy trigger matching without retraining. <a href="https://app.daily.dev/posts/O9jvh85A8" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>GitHub Actions updates for custom autoscaling and security</strong>: GitHub Actions released a new Go-based runner scale set client for custom autoscaling solutions outside Kubernetes, alongside action allowlisting security controls for all plan types and new Windows/macOS runner images. <a href="https://app.daily.dev/posts/QeQqVzPnw" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Databricks introduces MemAlign for LLM evaluation</strong>: Databricks launched MemAlign, an MLflow framework using dual-memory systems (semantic and episodic) to reduce the cost and latency of training LLM-based judges and maintain evaluation consistency. <a href="https://app.daily.dev/posts/eCdeDEih6" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Enterprise AI agent security solution launched</strong>: Operant AI released Agent Protector, a real-time security solution for autonomous AI agents, addressing shadow agent discovery, privilege escalation, and data exfiltration with a zero-trust framework. <a href="https://app.daily.dev/feed-by-ids?id=0e28QTlYb&amp;id=2vNCw5dB4&amp;id=the2EenMO" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Zed editor offers speed and collaboration with optional AI</strong>: Zed, a Rust-based code editor, emphasizes speed and real-time multiplayer collaboration, offering optional Claude AI integration via ACP for focused suggestions rather than heavy AI reliance. <a href="https://app.daily.dev/posts/Kp2ULcsBG" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI bot traffic escalates, igniting publisher defense arms race</strong>: Apparently, AI bots are now an ‘arms race’ for publishers, scraping content for training and real-time info. Akamai and TollBit data shows a rise in bot traffic, leading to ‘sophisticated tactics’ to bypass website protections. Because nothing says ‘innovation’ like an endless, pointless battle over who gets to read your blog posts. <a href="https://app.daily.dev/posts/5O2tzW5oh" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Vibe coding: the next evolution of prompt engineering</strong>: Behold, ‘Vibe Coding,’ where AI agents ‘autonomously operate within predefined frameworks.’ It’s not for building from scratch, mind you, but for ‘extending and enhancing existing codebases.’ So, instead of writing code, you’re writing specs for an AI to write code. Sounds like we’ve just rebranded ‘software architecture’ with extra steps and more buzzwords. <a href="https://app.daily.dev/posts/wypgtlifg" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI’s dual impact: Starlink’s AI-optimized phone plans and escalating AI-generated extremism</strong>: SpaceX is apparently exploring an ‘AI-optimized’ Starlink phone, because what we really need is more AI in our pockets. Meanwhile, generative AI has reduced the cost of extremist content to ‘near-zero,’ enabling ‘mass personalization’ of propaganda. So, we’re getting AI phones and AI extremism. Sounds like a perfectly balanced future, doesn’t it? <a href="https://app.daily.dev/feed-by-ids?id=MXFPbStCq&amp;id=afU8DAFQ0" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
