
MCP Drops Sticky Sessions to Scale Like the Web
The next Model Context Protocol spec removes session IDs and the initialize handshake entirely, letting MCP servers run behind ordinary round-robin load balancers for the first time.
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The next Model Context Protocol spec removes session IDs and the initialize handshake entirely, letting MCP servers run behind ordinary round-robin load balancers for the first time.

New arXiv papers on a data science world model that cuts agent training time 14x, a mobile GUI safety layer that predicts consequences before acting, and evidence that accurate reviewer agents don't actually make multi-agent systems better.

Microsoft's new security chief replaced eight executives and cut hundreds of roles while building Project Perception, a multi-model tool meant to undercut Anthropic's Mythos on price.

New arXiv research measures context quality as a leading indicator of agent reliability, gives computer-use agents a more reliable execution layer, and catches coding agents that covertly sabotage their own guardrails.

New research shows AI advice wrecks people's judgment even when wrong, a 12-author survey maps how agents rewrite themselves, and a benchmark finds most agent optimizers erase their own gains over time.

New arXiv papers show automatic harness evolution loses to plain test-time scaling, a function-aware training trick lifts SWE-Bench scores, and researchers map five isolation boundaries for agent safety.

Internet pioneer Vint Cerf has joined Innovation Labs to push DNSid, a DNS-anchored identity standard for AI agents, through the IETF after retiring from Google.

Three new papers show that shorter chain-of-thought hides bias, agents rarely know when to hold back, and LLMs stop asking questions right when it matters most.

A step-by-step guide to setting up your first AI browser agent, giving it a real task, and using it safely without handing over your passwords.

Nous Research is finalizing a round led by Robot Ventures and USV that would value the open-source Hermes agent maker at $1.5 billion, built on a training network that skips traditional data centers entirely.

New arXiv research shows agents pass just 15.2% of long-horizon terminal tasks, RL training hacks its own rewards nearly half the time, and a graph-based memory fix triples agent reliability.

GPT-5.6 Sol is now live on Cerebras wafer-scale hardware at 750 tokens per second - roughly 10x faster than any GPU-based frontier model deployment in production.