Latest AI News
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology is the...
In a sea of agents, AWS bets on structured adherence and spec fidelity
Despite new methods emerging, enterprises continue to turn to autonomous coding agents and code generation platforms. The competition to keep developers working on their platforms, coming from tech companies, has...
From shiny object to sober reality: The vector database story, two years later
When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as...
How much of the AI data center boom will be powered by renewable energy?
According to a new report from the International Energy Agency, the world will spend $580 billion on data centers this year — $40 billion more than will be spent finding...
Human-centric IAM is failing: Agentic AI requires a new identity control plane
The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across business applications promise unprecedented efficiency. But in the rush to...
CFOs Bet Big on AI-But Warn the Real Wins Come Only When Strategy Takes the Wheel
AI in finance has, however, started to become a little louder lately. I came across a recent article on how finance leaders are embracing automation and analytics with unexpected urgency while...
When AI Goes Super-Sized: Why Wall Street Thinks 2026 Could Drown in $1.8 Trillion of New Bonds
The buzz on Wall Street: The mood appears confident that the borrowing binge for next year’s offerings could surge to record levels, thanks in no small part to the global race...
Leaked documents shed light into how much OpenAI pays Microsoft
Leaked documents reveal how much OpenAI paid Microsoft under a revenue-share agreement. They also indicate inference costs.
Google’s new AI training method helps small models tackle complex reasoning
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning tasks. Supervised Reinforcement...
Databricks co-founder argues US must go open source to beat China in AI
VC Andy Konwinski argues that the U. is losing its AI research dominance to China.