<h2>Must know</h2>
<ul>
<li>RAM and storage prices skyrocket due to AI demand: Memory and storage prices have surged 2-3x in early 2026, with NAND flash doubling in six months, primarily driven by insatiable AI data center demand for high-bandwidth memory (HBM). Micron’s exit from the consumer market and HBM’s 3x wafer capacity requirement compared to DDR5 are exacerbating supply constraints, according to industry reports. This means higher costs for PC builders and manufacturers, with forecasts suggesting another 50% increase for DDR5 and SSDs in the first half of 2026. <a href="https://app.daily.dev/posts/RV04f4xGD" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Meta bets big on nuclear power for AI data centers: Meta has partnered with Vistra, TerraPower, and Oklo to secure up to 6.6 GW of nuclear power by 2035, aiming to fuel its expanding AI infrastructure and data centers. This massive investment includes extending the life of existing plants and developing advanced reactors, primarily in Ohio and Pennsylvania. The move, announced by Meta, highlights the immense energy demands of AI and a strategic shift towards reliable, baseload clean energy. <a href="https://app.daily.dev/posts/elp6Y0W2r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Amazon’s AI ‘buy for me’ feature sparks merchant outrage: Amazon rolled out an AI-driven ‘Buy For Me’ feature that scrapes independent merchant websites and lists their products on Amazon without consent, leading to significant backlash. Small business owners reported surprise orders and incorrect product images, with some finding their wholesale pricing exposed. Merchants are criticizing Amazon’s opt-out approach, especially given Amazon’s own blocking of third-party AI crawlers, highlighting ethical concerns in AI-powered commerce. <a href="https://app.daily.dev/posts/HH05G9maY" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li>Python 3.14 promises speed and threading improvements: Python 3.14, slated for 2026, is set to introduce lazy imports for faster module loading and official free-threading support, potentially offering up to 10x speedups for parallel workloads, alongside a growing trend of Rust-based type checkers like Pyrefly. <a href="https://app.daily.dev/posts/quf6PiAcD" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Google launches free AI upskilling platform: Google Skills, a new free online learning platform, offers over 3,000 courses focused on AI and technology, including prompt engineering and machine learning, with personalized paths and Google Career Certificates. <a href="https://app.daily.dev/posts/1LfniMfaa" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>New TypeScript UI framework Ripple focuses on simplicity: Ripple, a new TypeScript UI framework, aims for simplicity and low boilerplate with a compiler-first approach, unique reactivity mechanisms without hooks or signals, and direct DOM updates for efficiency. <a href="https://app.daily.dev/posts/n7wKczt0h" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Dell GB10 edge AI platform leverages Nvidia Blackwell: Dell’s GB10 device, featuring Nvidia’s Blackwell GB10 superchip, is optimized for edge AI, running large language models up to 120 billion parameters without cloud reliance, emphasizing low latency and data privacy. <a href="https://app.daily.dev/posts/ow6tBWhoH" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>AWS introduces VPC encryption controls: AWS has launched VPC Encryption Controls, allowing users to monitor and enforce in-transit encryption within and between VPCs, supporting compliance efforts for standards like HIPAA and PCI DSS. <a href="https://app.daily.dev/posts/aJM4z3V52" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Percona Everest offers open-source cloud-native database management: Percona Everest is a new open-source, cloud-native platform for deploying and managing PostgreSQL, MongoDB, and MySQL clusters on Kubernetes, offering automated backups, monitoring, and scaling. <a href="https://app.daily.dev/posts/OC41GdlTr" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Kilo AI coding agent platform launches with broad IDE integration: Kilo, an open-source AI coding agent platform, integrates with major IDEs, offers over 500 AI models, and supports features like automated code reviews and parallel agent execution with a pay-as-you-go model. <a href="https://app.daily.dev/posts/t9TmWNeD6" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li>AI coding assistants: perceived productivity vs. actual quality: Turns out, those AI coding assistants making developers feel 20% faster actually make them take 19% longer to finish tasks, according to new research. Not only that, AI-generated code leads to 1.7x more issues and introduces security vulnerabilities through ‘hallucinated dependencies.’ So, while you’re busy feeling productive, you’re just generating more bugs and taking longer to do it. Classic. <a href="https://app.daily.dev/posts/fLWmEtnzQ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Google’s AI overviews: misleading medical advice, limited fixes: Google removed AI Overviews from some medical queries after The Guardian exposed misleading health information, like generic liver blood test ranges. Google claims their internal clinicians found summaries ‘often accurate,’ but health advocates are still pressing for broader changes. So, Google’s AI is still confidently wrong about your health, but at least they’re fixing the specific examples that got called out. Progress? <a href="https://app.daily.dev/posts/5rDA4vp3y" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>AI industry insiders launch ‘Poison Fountain’ to corrupt models: Five anonymous tech insiders have launched ‘Poison Fountain,’ encouraging website operators to inject poisoned data into content scraped by AI crawlers. Their goal? To corrupt AI models, citing Anthropic research that a small amount of bad data can significantly damage performance. Apparently, the ‘existential threat’ of AI is best countered by making it subtly incorrect. What could possibly go wrong? <a href="https://app.daily.dev/posts/ULQiNTTAZ" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>