Ali Asif

The AI log, open weights · agents and coding · science

HiRO-ACEv2 opens 3 km climate runs, Earth AI and Deep Review

AI2 releases a 3 km weather emulator at 1/300th the cost, Google opens Deep Review, and OpenAI's SDK starts adding browser and computer toolsets.

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What shipped

  1. Allen AI

    HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost

    Pairs a 100 km emulator with a 3 km downscaler for about 1/300th the cost of X-SHiELD, with weights on Hugging Face.

  2. OpenAI

    openai-python v3.31.0

    Adds browser and computer toolsets to the Python SDK, labelled part 1 of 4.

  3. NVIDIA

    Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym

    Targets agents that produce plausible but wrong artifacts in chip design workflows.

  4. ElevenLabs

    How we solve 22,000 support tickets every month with ElevenAgents

    A first-party account of an agent that looks up accounts, takes actions and escalates, using procedures and simulation tests.

  5. Google Research

    Putting Earth AI to work: Geospatial agents for our planet's biggest challenges

    A geospatial reasoning agent via Ask Google Earth and an A2A API, plus two new benchmarks.

  6. Google Research

    Analyzing technical documents with Deep Review

    An agentic document checker piloted on more than 16,000 manuscripts, now open to the public with two free reviews a week.

No big frontier launch landed in my window today. What did land is a quieter set of releases that I'd actually use, so I'm leading with the one you can download.

HiRO-ACEv2 puts 3 km climate runs in reach

Allen AI released HiRO-ACEv2, an emulator that combines ACE, which runs at 100 km resolution, with HiROv2, a downscaling model that adds detail down to 3 km. Their number: global 3 km output at about 1/300th the cost of X-SHiELD. They say it matches the target simulation's statistics within 3% for extreme events, and that it reproduces tropical cyclone energy and realistic hurricane structure. Over 10-year runs, the hurricane energy lines up with the reference data.

The part I care about is the release. Weights are on Hugging Face, there are tutorial notebooks, and a web demo lets you look at output without running anything. Cheap, open, high-resolution climate simulation is the kind of thing that changes who gets to do the research. These are the lab's own claims, and I haven't run it.

Agent plumbing keeps moving

OpenAI's Python SDK hit 3.31.0 with browser and computer toolsets. The release note labels it part 1 of 4, so expect more to follow. It's a small diff today and a large one if the other three parts arrive.

NVIDIA published a post on agent reliability and tool-calling efficiency for chip design using NeMo Gym. The framing is the honest one: agents are productive in complex design work, but they generate plausible, wrong artifacts. Anyone who has watched an agent confidently fill a spreadsheet with bad numbers knows the problem.

ElevenLabs wrote up how it handles 22,000 support tickets a month with ElevenAgents. The agent looks up account information, takes actions and escalates, built on procedures, simulation tests and tools. I like that simulation tests are in the list. That's the part most teams skip.

Google Research, two science releases

Earth AI now has a geospatial reasoning agent, reachable through Ask Google Earth and an Agent-to-Agent API, with two new benchmarks, GeoKTools and GeoExpertQueries. Google cites WHO AFRO mapping 48 exposed settlements and 45,500 at-risk people during the 2026 DRC Ebola outbreak in minutes rather than weeks. Early access is by interest form.

Deep Review is the one you can try today. It's an agentic system for checking technical documents: segmentation, adaptive budgeting, parallel verification, synthesis. Google piloted it on more than 16,000 manuscripts across STOC, ICML, NeurIPS and ICLR. You get two free reviews a week, then you bring a Gemini API key.

What I'd watch next

Whether parts 2 to 4 of the OpenAI toolsets show up this week. Whether anyone outside AI2 publishes numbers on HiRO-ACEv2. And whether Deep Review holds up on documents that aren't academic papers, since that's where I'd want to use it.

Sources

Topics: OpenAI, NVIDIA, Google Research, Ai2, Analyzing technical documents with Deep Review, Climate, Earth AI, HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost