<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 consumer memory and HBM’s higher wafer requirements are exacerbating supply constraints, impacting both consumer and enterprise markets. Kingston reports a 246% increase in wafer prices, and further 50% price hikes are forecasted 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 secures nuclear energy 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 initiative involves extending the life of existing plants and developing advanced reactors, with a primary focus on the Prometheus supercluster in Ohio. The move aims to provide clean, reliable baseload power, supporting Meta’s AI expansion and generating thousands of jobs, as announced by Meta. <a href="https://app.daily.dev/posts/elp6Y0W2r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>EU pushes open source to counter big tech dependence: The European Commission is consulting on a new open source strategy to reduce reliance on U.S. tech giants, recognizing that 70-90% of modern software uses open source components. The plan is to treat open source as critical infrastructure, shifting funding from experimental projects to scaling viable solutions in areas like cloud, AI, and cybersecurity. This aims to foster competitive European alternatives, as reported by the European Commission. <a href="https://app.daily.dev/posts/nSTd14JQu" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li>Google and partners launch universal commerce protocol for AI agents: Google, with Shopify, Walmart, Target, and Etsy, launched the Universal Commerce Protocol (UCP), an open-source standard enabling AI agents to manage the entire purchasing funnel from discovery to checkout, integrating with existing payment systems and Google’s AI search. <a href="https://app.daily.dev/feed-by-ids?id=7CfzB00S6&amp;id=MhDEwyYbE" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Python 3.14 targets major speed and threading improvements: Python 3.14, set for 2026, will introduce lazy imports and official free-threading, potentially offering up to 10x speedups for parallel workloads, alongside packaging modernizations and a reassessment of the PEP process. <a href="https://app.daily.dev/posts/quf6PiAcD" 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, integrates a Grace ARM CPU and Blackwell GPU with 128GB unified memory, optimized for running large language models up to 120 billion parameters and local video analytics at the edge without cloud reliance. <a href="https://app.daily.dev/posts/ow6tBWhoH" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>AWS launches VPC encryption controls: AWS introduced VPC Encryption Controls to monitor and enforce in-transit data encryption within and between VPCs, offering monitor and enforce modes, with the latter requiring Nitro-based infrastructure and supporting compliance 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>New method for encrypted quantum information backup: University of Waterloo researchers developed a method to duplicate encrypted quantum information without violating the no-cloning theorem, using expiring one-time encryption keys to enable secure, redundant quantum cloud storage. <a href="https://app.daily.dev/posts/A8qpCsnhq" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Docker releases free open-source hardened images: Docker has released over 1,000 hardened, open-source images under the Apache 2.0 license, designed to improve container security by removing unnecessary packages and outdated dependencies, alongside hardened Helm charts for Kubernetes deployments. <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: Julia’s GPU-accelerated ODE solvers, particularly its DiffEqGPU library, demonstrate 20x-100x faster performance than JAX and PyTorch alternatives for scientific computing workloads, attributed to Julia’s fundamental architectural approach to GPU utilization and multi-GPU parallelism. <a href="https://app.daily.dev/posts/QmMiG41QZ" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li>AI coding assistants: perceived speed, actual slowdown: Turns out, those AI coding assistants making developers feel 20% faster actually make them 19% slower and introduce 1.7x more bugs, according to multiple studies. It seems the thrill of reduced typing and visible activity is just a cognitive bias, masking increased code churn, reduced refactoring, and security vulnerabilities from ‘hallucinated dependencies.’ Maybe we should focus on actual delivery speed and code quality instead of how much ‘AI-generated slop’ we can produce, as Microsoft’s CEO so eloquently put it. <a href="https://app.daily.dev/feed-by-ids?id=fLWmEtnzQ&amp;id=JhfRDbs9r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Google’s AI overviews: medical advice, now with less inaccuracy!: Google, after being called out by The Guardian for its AI Overviews giving misleading health info, has graciously removed them from select medical queries. Apparently, their internal clinicians found the summaries ‘often accurate,’ which is reassuring when dealing with, you know, medical advice. Health advocates are still pressing for broader changes, but hey, at least Google fixed the liver blood test ranges. Small victories, I guess, in the ongoing quest for AI to not kill us with bad information. <a href="https://app.daily.dev/posts/5rDA4vp3y" target="_blank" rel="noopener nofollow">Read more</a></li>
<li>Poison Fountain: saving humanity by corrupting AI models with bad code: Five anonymous tech insiders have launched ‘Poison Fountain,’ a project to inject subtly incorrect code into training data, aiming to ‘damage AI model performance’ and prevent ‘existential threats.’ Because the best way to address concerns about AI is to actively sabotage it with plausible but wrong information. It’s a bold strategy, Cotton, let’s see if it pays off in anything other than a lot of confused AI models and even more confused developers. <a href="https://app.daily.dev/posts/ULQiNTTAZ" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>