272 posts from this source
OpenAI & Anthropic Release Reasoning‑Based Vulnerability Scanners Key takeaway: Both labs have shown that traditional static application security testing SAST...
The past ten days have been among the most consequential in OpenAI's history, with developments stacking up across product, politics, personnel, and the courts...
Microsoft vs. Google AI Showdown While Microsoft rolled out its Copilot Cowork announcement yesterday, Google is now stealing the spotlight with a sweeping set...
The AI Hype Cycle It’s always the same story: a new technology appears and everyone starts talking about how it’ll change everything. Then capital rushes in, c...
Presented by 1Password Adding agentic capabilities to enterprise environments is fundamentally reshaping the threat model by introducing a new class of actor i...
Over the weekend, Andrej Karpathy—the influential former Tesla AI lead, co‑founder and former member of OpenAI who coined the term “vibe coding”—posted on X abo...
Agentic Commerce: Azoma’s Agentic Merchant Protocol AMP For future‑focused e‑commerce brands, the primary customer is rapidly changing from a person behind a s...
Anthropic Launches Code Review – A Multi‑Agent Pull‑Request Auditor Anthropic on Monday released Code Review, a multi‑agent code‑review system built into Claud...
It’s always the same story: a new technology appears and everyone starts talking about how it’ll change everything. Then capital rushes in, companies form overn...
Microsoft Announces General Availability of Agent 365 and Microsoft 365 Enterprise 7 May 1 – Wave 3 of Microsoft 365 Copilot launches with expanded AI capabilit...
Presented by Celonis The Ambition–Readiness Gap > 85 % of enterprises want to become agentic within three years — yet 76 % admit their operations can’t support...
Introduction Agentic AI enables businesses to operate more dynamically. Unlike traditional pre‑programmed bots and static rules, agents can “think” and devise...
As models get smarter and more capable, the “harnesses” around them must also evolve. This “harness engineering” is an extension of context engineering, says La...
“When you get a demo and something works 90 % of the time, that’s just the first nine.” — Andrej Karpathy The “March of Nines” frames a common production reali...
Anthropic’s Claude Marketplace: What It Is and Why It Matters San Francisco startup Anthropic continues to ship new AI products and services at a blistering pa...
Harness engineering As models get smarter and more capable, the “harnesses” around them must also evolve. This “harness engineering” is an extension of context...
Enterprise‑Scale Memory Bottleneck in Large Language Models Large‑document or long‑horizon AI applications quickly run into a memory bottleneck. As the context...
Google’s Open‑Source “Always On Memory Agent” Author: Shubham Saboo – Senior AI Product Manager, Google Release: Open‑source on the official Google Cloud Platf...
What's Old Is New: The Command Line in Agentic AI The command line — the original, clunky, non‑graphical interface for interacting with and controlling PCs, wh...
Most enterprise RAG pipelines are optimized for one search behavior They fail silently on the others. A model trained to synthesize cross‑document reports hand...
Overview Generative‑AI diffusion models such as Stable Diffusion or FLUX have traditionally depended on external “teachers” frozen encoders like CLIP or DINOv2...
Microsoft Releases Phi‑4‑reasoning‑vision‑15B Microsoft announced on Tuesday the launch of Phi‑4‑reasoning‑vision‑15B, a compact open‑weight multimodal AI mode...
The Federal Directive & Enterprise Reality The federal directive ordering all U.S. government agencies to cease using Anthropic technology comes with a six‑mon...
Alibaba’s Qwen Team Faces a Leadership Exodus Alibaba's Qwen team of AI researchers has long been among the most prolific and well‑regarded in the internationa...
