Best Authentication Platforms for AI Agents and MCP Servers in 2026
The Model Context Protocol has moved from Anthropic’s internal experiment to a de facto industry standard at a speed few...
The Model Context Protocol has moved from Anthropic’s internal experiment to a de facto industry standard at a speed few...
There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any...
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OpenAI will open its first Applied AI Lab outside the US in Singapore. The lab is part of a new...
Tencent has released TencentDB Agent Memory, an open-source memory system for AI agents. The project ships under the MIT license....
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On May 19, 633 malicious npm package versions passed Sigstore provenance verification. They were cleared by the system because the...
Every major economy is staring at the same problem right now. Artificial intelligence is consuming electricity at a pace that...
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Microsoft Research’s AI Frontiers lab released Fara1.5. It is a family of computer-use agent (CUA) models for the browser. The...
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests...
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The Nvidia Vera chip is rarely the headline when earnings beat estimates, but it should be. When Nvidia reported Q1...
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Today, Copenhagen-based healthcare AI Corti is launching Symphony for Speech-to-Text, a new generation of clinical-grade speech recognition models engineered specifically...
President Trump flew to Beijing, brought Jensen Huang along at the last minute, and left two days later, telling reporters...
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In 2026, enterprise agentic AI has moved from pilot budgets to production commitments. Salesforce is closing Agentforce deals at 29,000...
Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is...
Amazon has introduced Alexa for Shopping, combining its Rufus shopping chatbot with Alexa+ across its app, website, and Echo Show...
import subprocess, sys def pip(*pkgs): subprocess.check_call() pip("llmcompressor", "compressed-tensors", "transformers>=4.45", "accelerate", "datasets") import os, gc, time, json, math from pathlib import...