Frontier models can recover up to 65% of facts they can't directly recall — just by thinking longer

GPT-5 and Gemini-3 encode 95-98% of tested facts, but a Google Research and Technion study finds they fail to recall a third ...
Tech Times on MSN

Enterprise GPU chaos ends: VMware AI Factory ships full stack from bare metal to model

VMware AI Factory, launched by Broadcom at VMware Explore 2026, automates enterprise GPU deployment from bare-metal server to ...
HackerNoon

Small Specialized Models Are Eating the AI Stack (While Everyone Watches Frontier LLMs)

Everyone's watching the frontier models, but the real work in your AI agent happens in the small stuff. Here's why that's ...
InfoWorld

AI inference: Five best practices for successful AI applications

The pilot stage is the best time to consider the implications of architecture, security, and operations for running AI ...
MarkTechPost

Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark

Benchmarking the lowest-latency inference APIs for voice agents: measured TTFT, time to first audio, and full-pipeline ...
Forbes

The Current And Future Path To AI Inference Data Center Optimization

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
Tech Times on MSN

Ox Alpha was GLM-5.3-Flash: China inference chip claim stands unverified

GLM-5.3-Flash, the AI model Z.ai previewed anonymously as Ox Alpha, ran on 100,000 Chinese chips during its launch week ...
JD Supra

Model inversion and membership inference: Understanding new AI security risks and mitigating vulnerabilities

Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...