Ardalis

Cisco

ClickHouse

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Tech With Tim

The Register

<h2>Must know</h2>
<ul>
<li><strong>LLM safety guardrails are easily broken by training prompts</strong>: Microsoft researchers found a single, seemingly innocuous training prompt can bypass safety guardrails in 15 different LLMs, including text-to-image generators. This ‘GRP-Obliteration’ technique exploits reinforcement learning to unalign models post-training, making them permissive across harmful categories. This is a major concern for enterprises fine-tuning open-weight models, highlighting that continuous safety evaluation is crucial, as alignment isn’t static. <a href="https://app.daily.dev/posts/6Gbu8zodz" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents in messaging apps can leak your secrets</strong>: AI agents integrated into messaging apps like Slack and Teams are vulnerable to zero-click data exfiltration. Attackers can use prompt injection to trick agents into generating malicious URLs containing sensitive data, which then gets leaked when messaging apps automatically fetch link previews. This affects platforms like Microsoft Teams with Copilot Studio and Discord with OpenClaw, according to PromptArmor, who recommends better link preview controls. <a href="https://app.daily.dev/posts/FJDo46xiv" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>US AI infrastructure bottlenecked by power grid issues</strong>: America’s AI infrastructure faces a critical bottleneck due to 2-7 year wait times for electrical transformers and substations needed to connect data centers to the power grid. This crisis, driven by outsourced manufacturing, material shortages, and labor gaps, is raising electricity costs and forcing some data centers to build on-site power generation, potentially costing the US its competitive edge in AI development. <a href="https://app.daily.dev/posts/26XUA8lbK" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Mistral’s Voxtral 4B gets a pure C implementation</strong>: Mistral’s Voxtral Realtime 4B speech-to-text model now has a pure C implementation with zero external dependencies, featuring Metal GPU acceleration for Apple Silicon and running 2.5 times faster than real-time on M3 Max hardware. <a href="https://app.daily.dev/posts/oP3oVz2Y3" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Docker hardened images are now free</strong>: Docker’s Hardened Images (DHI) are now free, covering over 1,000 images and aiming to establish a security ‘waterline’ where Docker manages vulnerabilities below, and users handle application-layer issues. <a href="https://app.daily.dev/posts/qrz4zhyW1" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>CrossOver 26 brings Wine 11.0 to Linux and macOS</strong>: CrossOver 26, built on Wine 11.0, was released to enable Windows applications and games on Linux and macOS, with a focus on macOS compatibility for titles like HELLDIVERS 2 and God of War Ragnarök. <a href="https://app.daily.dev/posts/Rhd5Rku0N" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Node.js updates current and LTS versions</strong>: Node.js released versions 25.6.1 (Current) and 24.13.1 (LTS), with the LTS version adding Python 3.14 build support, promoting heap snapshot flags to stable, and including security patches. <a href="https://app.daily.dev/posts/CeFkKNaVQ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Amazon Redshift enhances automatic optimizations</strong>: Amazon Redshift now allows allocating extra compute resources for automatic optimization features like Automatic Table Optimization and Auto Vacuum, ensuring they run without impacting user workloads. <a href="https://app.daily.dev/posts/7o3DKKn6E" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>LinkedIn revamps service discovery with Kafka and gRPC</strong>: LinkedIn replaced its Zookeeper-based service discovery with a new Kafka and gRPC/xDS architecture, achieving 10x better P50 latency and 6x better P99 latency for hundreds of thousands of service instances. <a href="https://app.daily.dev/posts/WAH3amRwM" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Wix uses AI agents for incident response</strong>: Wix built AI-driven incident response for 4,000+ microservices using ClickHouse and Wild Moose’s AI agents, processing 300 million logs per minute and achieving 90% root cause accuracy in under a minute. <a href="https://app.daily.dev/posts/MfbA55Q8u" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI singularity is still just a math problem</strong>: A mathematical analysis predicts an AI ‘singularity date’ of July 2034, but only arXiv papers on AI emergence show genuine hyperbolic curvature, while actual capability metrics remain linear. So, while the ‘social singularity’ of mass layoffs and market concentration might be happening now, the machines aren’t quite taking over just yet, despite what the hype cycle wants you to believe. <a href="https://app.daily.dev/posts/86v6ixcll" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI tools are causing burnout, not boosting productivity</strong>: A Harvard Business Review study found AI tools led to burnout and expanded to-do lists for 200 tech workers, with work bleeding into personal hours. Apparently, making things ‘possible’ with AI just means tripling expectations while productivity gains remain modest. Who knew giving people more tools would just make them work more, not smarter? <a href="https://app.daily.dev/posts/RvA4dXVbd" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Cisco’s ‘AgenticOps’ promises to fix your network with AI magic</strong>: Cisco is pushing ‘AgenticOps’ for wireless networks, promising to shift operations from reactive troubleshooting to proactive management with AI Packet Analyzers and AI Config Recommendations. Because apparently, the solution to complex network problems isn’t better engineering, but just throwing more ‘AI agents’ at it to autonomously investigate issues and validate changes. What could possibly go wrong? <a href="https://app.daily.dev/feed-by-ids?id=9LBPutt5i&amp;id=ypVgca2uY" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
