AI agents
79 published articles
Synthetic Data Strategy
Nvidia's data atlas shows why synthetic data matters more than model weights
Nvidia's Nemotron Post-Training v3 Prompt Atlas provides an interactive map of billions of synthetic data samples, highlighting how open synthetic data is the missing layer for building reliable AI agents. The company argues that agent behavior must be inspectable and that synthetic data, released openly, is the only way to preserve proprietary signals without exposing trade secrets.
2026-07-12
Product strategy
Atlas is dead. OpenAI's agent strategy just got narrower and riskier.
OpenAI is shutting down its experimental ChatGPT browser Atlas less than a year after launch, absorbing its learnings into new productivity features. The shutdown reflects a company-wide pivot from exploration to consolidation as it races to catch Anthropic on agentic work tools.
2026-07-11
AI Agents
OpenManus killed the AI agent invite wall. Here is how to run it in ten minutes.
OpenManus is an open-source AI agent framework anyone can install and run immediately: no invite code, no gimmicks, just a Python environment and an API key. Here is why you need it.
2026-07-11
AI Research
Your AI assistant forgets you every morning. This benchmark proves it.
VitaBench 2.0 tests whether AI agents can continuously extract and update user preferences from fragmented interactions over time. Results show that even state-of-the-art models struggle to build persistent user models, revealing a wide gap between chatbot competence and genuine collaborative intelligence.
2026-07-11
Grok 4.5
Cursor's Grok 4.5 was built by AI agents, not humans. That's the real story.
Cursor's Grok 4.5 is a Mixture-of-Experts model built using reinforcement learning in environments created by earlier AI agents, not humans. It handles complex, long-duration tasks across software engineering, data science, finance, and law, and it's available now.
2026-07-10
AI Agents
The planning trap: why AI agents that work in demos stall in production
As AI agents move from demos to production, operators find that the hardest failures are not in reasoning but in subtle mismatches between autonomous planning and deterministic infrastructure. This analysis unpacks the three silent failure modes that keep CTOs up at night.
2026-07-10
Product Launch
Anthropic launches Claude Tag on Slack for team-wide AI collaboration
Anthropic's Claude Tag brings proactive, context-aware AI collaboration to Slack. Teams can tag @Claude in channels and assign tasks ranging from code generation to data analysis. The tool builds shared memory, works asynchronously, and can take initiative, with 65% of Anthropic's product team code now created by the internal version.
2026-07-09
Enterprise AI
Anthropic and DXC Technology Launch Global Alliance to Embed Claude in Enterprise Systems
DXC Technology and Anthropic announce a global partnership to deploy Claude across DXC's managed environments for regulated industries. The deal includes certifying thousands of engineers and using Claude as the default AI in DXC's new OASIS platform.
2026-07-09
AI Agents
Parallel agents aren't about speed. They're about coordination.
Parallel agents split complex tasks across concurrent workers, each with isolated state and defined scope. The real challenge isn't speed, it's coordination.
2026-07-09
Frameworks & Tools
Microsoft's Flint hides the chart boilerplate so AI agents stop drawing wrong axes
Microsoft Research introduced Flint, a visualization intermediate language that helps LLMs and AI agents create polished charts without hand-coding low-level parameters like scales and axis formatting. In a study across three models, Flint outperformed direct Vega-Lite generation, and is already used internally in Data Formulator.
2026-07-08
agent reliability
AI agents can't tell when a Java migration is actually done
IBM Research introduces ScarfBench, an open benchmark for evaluating AI agents on enterprise Java framework migration. Early tests reveal that frontier agents are systematically overconfident about their own results, that configuration layers dominate effort, and that environment issues like Docker caches regularly derail migrations even when code transformations succeed.
2026-07-06
Open source
Microsoft just opened a codebase that kills the worst part of enterprise data work
Data Formulator 0.7 is an open-source AI system from Microsoft Research that helps enterprise teams connect fragmented data sources, prepare and analyze data with context-aware agents, and iteratively refine visualizations in a shared workspace, all without requiring SQL or programming skills.
2026-07-03