<h2>Must know</h2>
<ul>
<li><strong>Anthropic and OpenAI drop new models</strong>: Anthropic just released Claude Opus 4.6, boasting ‘agent teams’ for parallel task execution and a massive 1 million token context window, aiming for broader appeal beyond just developers. Not to be outdone, OpenAI quickly followed with GPT 5.3 Codex, which they claim outperforms Opus 4.6 on benchmarks like Terminal Bench 2.0 by 10%. Both models are pushing the envelope on agentic workflows, code review, and long-running operations, with GPT 5.3 Codex adding real-time steering during execution. <a href="https://app.daily.dev/feed-by-ids?id=G7Sre82A1&amp;id=Ijw4mCG7B&amp;id=CZUzCGBQG&amp;id=I2PdjppNx&amp;id=IDVrBk7Fu&amp;id=J2cljSBHP" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AWS plans massive AI infrastructure investment</strong>: AWS reported a strong Q4 2025 with 24% year-over-year growth, driven by cloud migration and AI workloads. They’re planning to invest a staggering $200 billion in 2026 to double their datacenter capacity by the end of 2027, primarily for AI infrastructure. CEO Andy Jassy stated they’re monetizing AI capacity as fast as it’s deployed, with custom Trainium accelerators and Graviton CPUs already generating $10 billion in annualized revenue. <a href="https://app.daily.dev/feed-by-ids?id=1BAlXIloL&amp;id=CZUzCGBQG&amp;id=I2PdjppNx&amp;id=IDVrBk7Fu&amp;id=J2cljSBHP" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Old driver flaw disables modern EDR</strong>: Threat actors are weaponizing a legitimate, decade-old Windows kernel driver from EnCase forensic tools to disable security products. This attack exploits a critical gap in Windows Driver Signature Enforcement, allowing a revoked 2010 certificate to load due to backward compatibility. Huntress detected this during a SonicWall VPN breach, where the malware targeted 59 security processes to blind endpoint defenses, highlighting how legacy flaws can compromise modern systems. <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>AI bot traffic escalates, publishers fight back</strong>: AI bots are now a significant portion of web traffic, scraping content for training and real-time agents, leading to an ‘arms race’ as publishers implement aggressive defenses. <a href="https://app.daily.dev/posts/5O2tzW5oh" 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 in open-weight AI models, addressing a critical supply chain risk for enterprises using third-party LLMs. <a href="https://app.daily.dev/posts/O9jvh85A8" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Google launches developer knowledge API</strong>: Google introduced a Developer Knowledge API and Model Context Protocol (MCP) server in public preview, providing AI tools with programmatic access to up-to-date Google developer documentation. <a href="https://app.daily.dev/posts/X3xuKKIe1" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Databricks introduces MemAlign for LLM evaluation</strong>: Databricks launched MemAlign, a new MLflow framework that uses a dual-memory system to reduce the cost and latency of training LLM-based judges, enabling rapid adaptation to new domains. <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 launched Agent Protector, a real-time security solution for autonomous AI agents, addressing challenges like shadow agent discovery and privilege escalation in the shift to agentic systems of action. <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>Postgres consolidates database functions</strong>: Postgres, with extensions like pg_textsearch and pgvector, is being positioned as a consolidated solution capable of replacing specialized databases for 99% of companies, reducing operational complexity. <a href="https://app.daily.dev/feed-by-ids?id=QtM7zNGDf&amp;id=VBHSJlMha&amp;id=pKNE7iWlw&amp;id=xEaqTmGWC" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Valve delays hardware due to component shortages</strong>: Valve has delayed pricing and shipping for its Steam Machine, Steam Frame VR headset, and new Steam Controller, blaming industry-wide memory and storage component shortages driven by AI data center demand. <a href="https://app.daily.dev/posts/iXYPYa4qJ" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>Vibe coding is just prompt engineering with extra steps</strong>: Apparently, ‘vibe coding’ is the new hotness, an ‘evolution of prompt engineering’ where AI agents autonomously operate within predefined frameworks. So, instead of writing code, you’re just writing really detailed specs for the AI to implement. It’s almost like we’re back to spec-driven development, but now with a fancy new name and the promise that AI will do all the boring bits. Sure, it’ll ‘shift the developer’s focus to business requirements,’ but let’s be real, it’s still just telling a machine what to do, only now with more ‘vibe.’ <a href="https://app.daily.dev/posts/wypgtlifg" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI-optimized phone plans are the next big thing</strong>: SpaceX is reportedly exploring a Starlink-branded mobile phone ‘optimized for AI neural networks,’ because apparently, your current phone isn’t AI-optimized enough. This sounds suspiciously like a solution in search of a problem, or perhaps just another way to slap ‘AI’ on something to make it sound futuristic and essential. One has to wonder what exactly an ‘AI-optimized’ phone does that a regular smartphone with AI apps can’t, besides perhaps draining your battery faster while trying to look smart. <a href="https://app.daily.dev/feed-by-ids?id=MXFPbStCq&amp;id=afU8DAFQ0" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>The ‘time horizon plot’ for AI progress is still being misunderstood</strong>: The ‘time horizon plot’ for AI progress, a ‘valuable scientific tool,’ is still being widely misinterpreted by ‘AI doomsayers and boosters.’ Apparently, a five-hour time horizon doesn’t mean AI can replace five hours of human work, but rather measures human task completion time. It’s almost as if people are taking a scientific metric and applying it to real-world scenarios without understanding the nuances. Who would’ve thought that a plot based primarily on coding tasks with ‘substantial error bars’ might not be a perfect predictor of societal impact? <a href="https://app.daily.dev/feed-by-ids?id=CZUzCGBQG&amp;id=I2PdjppNx&amp;id=IDVrBk7Fu&amp;id=J2cljSBHP" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
