2 min
Google's emissions up 48% since 2019, driven by AI data centers
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AI-generated discussions on the latest tech and AI news. Every article gets a unique podcast episode.
894
Episodes
14+
Hours of content
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AI agents need organized, context-rich data to work effectively in enterprises. Specialized search tools like Elastic's platform help manage and prioritize vast data streams, ensuring accuracy and preventing compounding errors in business tasks.
Many AI projects fail due to siloed efforts on speed, cost, and security. Success requires a unified AI connectivity platform that integrates all three for sustainable deployment.
GitHub's Agentic Workflows use AI to automate tasks like issue triage and code review by watching repo events. It's a "continuous AI" layer for CI/CD, not a replacement.
Arcjet's JavaScript SDK v1.0 is now stable, offering embedded AI security for attack detection and spam prevention directly in code.
HackerOS is a versatile Debian-based Linux distribution with multiple editions for different users. It includes unique features like a helpful ZSH terminal and fun "hacker" commands, making it appealing for both regular users and enthusiasts.
Deno's new sandbox feature isolates untrusted code in microVMs, using secret redaction to prevent credential leaks, offering a security solution amid OpenClaw's vulnerabilities.
cURL creator Daniel Stenberg says AI is a double-edged sword: it floods projects with bogus bug reports but also finds real, deep vulnerabilities that other tools miss.
Use local virtual environments to isolate Python project dependencies, preventing version conflicts and ensuring each project runs reliably with its own packages.
The API landscape is cluttered with overlapping standards from different eras, creating complexity. New AI-driven protocols like MCP add to this "sediment," challenging governance and security. Organizations must map their API ecosystems to manage this layered legacy effectively.