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The most uncomfortable benchmark result in agentic AI right now: a single agent matched or outperformed multi-agent architectures on 64% of tested tasks —...
A customer support agent shipped last quarter at a startup I advise. It handled refund requests beautifully — for the first ten turns of each conversation.
A researcher opens a GitHub issue. The title reads: "The login button does not work!
OpenAI was spending fifteen million dollars a day running Sora. The product generated $2.
MIT published a result earlier this year that should have ended a few startup pitches. Take a multi-agent system performing reasonably well — 90.
Most image generation workflows aren't about getting one perfect shot.
NVIDIA quietly shipped one of the most interesting open model architectures I've seen this year, and most of the coverage buried the lede.
Last week I added a fifth MCP server to a coding agent I've been running in production. Response quality dropped off a cliff.
Every agent framework that shipped before 2026 solved the same problem in the same embarrassing way.
Every 3D format goes through the same lifecycle.
A year ago, the A2A protocol was a spec and a press release.
Rufus served 300 million Amazon customers last year. It answered product questions, helped people compare items, and...
Databricks just GA'd Zerobus Ingest, and its pitch is blunt: for most streaming ingestion workloads, the message bus is dead weight.
Twelve months ago, Google published the Agent-to-Agent protocol spec with 50 supporting organizations.
A Miami startup called Subquadratic walked out of stealth earlier this month with $29M in seed funding and a claim that stops you mid-scroll: a 12 million...
On May 5, OpenAI swapped GPT-5.3 Instant for GPT-5.
Google just shipped a development platform that actively discourages you from writing code. Antigravity 2.
Every tech publication ran the same headline in April: venture capital just posted its biggest quarter in history.
Content teams keep buying faster drafting tools while the actual chokepoint sits two steps downstream.
Growth teams love acquisition metrics. MQLs, CPAs, traffic growth — all top-of-funnel numbers that look great in board decks.
Two years ago, knowing the difference between --ar 16:9 --s 750 --c 40 and --ar 3:2 --s 250 --c 15 was a genuine edge.
Two days ago at I/O, Google dropped WebMCP — a proposed standard that lets websites expose structured JavaScript functions to AI agents running in the browser.
Most debugging happens after the code is written. You find a bug, trace it, fix the logic, ship a patch.
Eddie Larsen runs three SaaS products — AIpolicies.io, BioBuild.