<h2>Must know</h2>
<ul>
<li>RAM and storage prices skyrocket due to AI demand: The insatiable demand from AI data centers, particularly for high-bandwidth memory (HBM), has caused RAM and storage prices to surge 2-3x in early 2026. DDR5 and SSD prices are expected to rise another 50% in the first half of the year, according to Kingston. This isn’t just a minor fluctuation; it’s a fundamental shift driven by AI’s massive hardware appetite, impacting everything from consumer PCs to enterprise infrastructure. <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 for its AI infrastructure and data centers. This massive investment aims to provide clean, reliable baseload power, with projects including extending existing plants and developing advanced Natrium and Aurora Powerhouse reactors. It’s a clear signal that AI’s energy demands are pushing tech giants towards large-scale, long-term power solutions. <a href="https://app.daily.dev/posts/elp6Y0W2r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Google, Shopify, Walmart, and Etsy launch Universal Commerce Protocol for AI agents: Google, in collaboration with major retailers like Shopify, Walmart, Target, and Etsy, has launched the Universal Commerce Protocol (UCP). This open-source standard enables AI agents to handle the entire purchasing funnel, from discovery to checkout, by standardizing how merchants expose their capabilities. Google will integrate UCP directly into its AI search and Gemini apps, potentially revolutionizing e-commerce by making shopping fully agent-driven. <a href="https://app.daily.dev/feed-by-ids?id=7CfzB00S6&amp;id=MhDEwyYbE" 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, will introduce lazy imports and official free-threading support, aiming for up to 10x speedups for parallel workloads and addressing long-standing performance demands. <a href="https://app.daily.dev/posts/quf6PiAcD" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Dell GB10 brings Nvidia Blackwell superchip to the edge: Dell’s new GB10 device, featuring Nvidia’s Blackwell GB10 superchip, is an edge AI platform optimized for running large language models up to 120 billion parameters locally, emphasizing low latency and data privacy without cloud reliance. <a href="https://app.daily.dev/posts/ow6tBWhoH" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>AWS introduces VPC encryption controls for in-transit data: AWS has launched VPC Encryption Controls, a new feature to monitor and enforce encryption for traffic 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>Docker releases free open-source hardened images: Docker has made over 1,000 hardened, security-focused container images and Helm charts free and open source, aiming to reduce supply chain vulnerabilities by removing unnecessary packages and outdated dependencies. <a href="https://app.daily.dev/posts/E2h3E1Ajx" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Julia GPU ODE solvers outperform JAX and PyTorch by up to 100x: Julia’s GPU-accelerated ODE solvers, particularly the DiffEqGPU library, are demonstrating 20x-100x faster performance than JAX and PyTorch alternatives for scientific computing workloads, attributed to Julia’s fundamental architectural approach to GPU utilization. <a href="https://app.daily.dev/posts/QmMiG41QZ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>New quantum method for encrypted information backup: Researchers at the University of Waterloo have developed a method to duplicate encrypted quantum information without violating the no-cloning theorem, enabling secure, redundant quantum cloud storage with one-time encryption keys. <a href="https://app.daily.dev/posts/A8qpCsnhq" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>EU open source strategy targets big tech dependence: The European Commission is consulting on an open source strategy to reduce reliance on U.S. tech giants, treating open source as critical infrastructure and shifting funding to scale viable solutions in cloud, AI, and cybersecurity. <a href="https://app.daily.dev/posts/nSTd14JQu" 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, developers using AI coding assistants think they’re 20% faster, but research shows they actually take 19% longer and introduce 1.7x more issues, including security vulnerabilities from ‘hallucinated dependencies.’ So, while you’re feeling super productive typing less, your code quality is quietly tanking. Maybe we should focus on actual results instead of how busy our AI makes us feel, as multiple studies suggest. <a href="https://app.daily.dev/feed-by-ids?id=fLWmEtnzQ&amp;id=T7lz8DVGQ&amp;id=JhfRDbs9r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Google’s AI Overviews: misleading medical advice, then a quiet retreat: Google’s AI Overviews were caught giving misleading medical advice, like generic liver blood test ranges without crucial context like age or sex. After The Guardian called them out, Google quietly removed AI Overviews from some medical queries, claiming their internal clinicians found them ‘often accurate.’ So, Google’s AI is ‘often accurate’ until it’s not, and then they just sweep it under the rug. Trustworthy, right? <a href="https://app.daily.dev/posts/5rDA4vp3y" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Poison Fountain: the hero AI needs, or just more chaos?: A group of ‘insiders’ from major U.S. tech companies, calling themselves Poison Fountain, are encouraging website operators to inject poisoned data into content scraped by AI crawlers. Their noble goal? To ‘undermine model training’ and prevent AI from posing ‘existential threats.’ Because nothing says ‘responsible AI’ like intentionally corrupting data with ‘plausible but subtly incorrect code.’ What could possibly go wrong? <a href="https://app.daily.dev/posts/ULQiNTTAZ" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>