Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in parallel to complete research tasks.The technical innovation lies in how Superagent's orchestrator maintains context. Earlier agent systems used simple model routing where an intermediary filtered information between models. Airtable's orchestrator maintains full visibility over the entire execution journey: the initial plan, execution steps and sub-agent results. This creates what co-founder Howie Liu calls "a coherent journey" where the orchestrator made all decisions along the way.<br /> <br /> "It ultimately comes down to how you leverage the model [...]
A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and [...]
Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]
Zip, the AI procurement platform valued at $2.2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of fiv [...]
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-age [...]
The viral fervor we saw earlier this year around OpenClaw, the open source AI harness that turns powerful language models into autonomous workers the user can message via their favorite channels (Tele [...]
As enterprise codebases grow, AI agents tasked with analyzing them are buckling under the weight of long-horizon tasks that require multiple interactions and tool calls. Dividing the work among a team [...]