Perplexity's CBO Dmitry Shevelenko reveals how AI agents are transforming the workforce, why small teams will dominate the future, and which three human skills remain irreplaceable as AI takes over knowledge work.
LMCache, an open-source KV cache management layer for LLM inference, surpasses 9,100 GitHub stars as it transforms temporary GPU cache into persistent, reusable knowledge—cutting time-to-first-token and boosting throughput across major hardware vendors like NVIDIA and AMD.
Databricks open sources Omnigent, a groundbreaking meta-harness under Apache 2.0 that unifies AI agents like Claude Code and Codex into one interoperable platform, enabling real-time collaboration, dynamic security policies, and cloud sandboxing across multiple agent frameworks.
Oracle shares plunge up to 11% as the tech giant reveals plans to raise $40 billion in debt and equity financing amid a staggering $23.7 billion in negative free cash flow, spooking investors despite a strong earnings beat with revenue surging 21% to $19.18 billion and capital expenditures skyrocketing 162% …
Google is investing $50 million to train over 300,000 skilled trade workers through 14 labor unions, tackling a looming crisis where 2.1 million trades jobs could go unfilled by 2030, threatening the future of AI infrastructure expansion across the U.S.
As AI spending rockets toward $2.6 trillion in 2026, enterprises are abandoning reckless 'tokenmaxxing' in favor of smarter, cost-conscious AI usage, with a rising 'tokenminning' movement pushing companies to swap expensive frontier models for leaner, cheaper alternatives.
Microsoft CEO Satya Nadella confesses he is personally guilty of 'tokenmaxxing'—wasting powerful AI resources on simple tasks—while pushing employees to work smarter by matching tasks to the right AI model, as he drives Microsoft toward a leaner, AI-native future.
OpenAI acquires cloud startup Ona to supercharge its AI coding tools, as Codex surges past 5 million weekly users, signaling a major push to make AI-driven development more powerful for businesses.
Global AI spending is surging toward $2.59 trillion by 2026, a 47% year-over-year increase, as AI models lead growth at 110%, yet enterprises remain stuck in tactical, incremental investments while hyperscalers dominate transformative AI infrastructure spending.
Microsoft's free ML-For-Beginners curriculum is taking the developer world by storm, amassing 86,600 GitHub stars with its 12-week, 26-lesson open-source course teaching classic machine learning through Python, R, and Scikit-learn — no deep learning required.