Open Jarvis: making local LLMs work as agents
Running an open-weight model is only half the job. The other half is the harness: what tells the model what to do, which tools it can use, and how to learn ...
Lambda to build new data center in Mayes County, Oklahoma, generating half a billion dollars in tax revenue over next decade
Facility will be built in MidAmerica Industrial Park & deploy closed-loop cooling technology to preserve and recycle water; all energy costs paid in ...
Building multimodal models for spatial reasoning
What is spatial reasoning? AI is moving beyond the digital world. The next generation of AI systems needs to understand and interact with physical ...
From structures to dynamics: scaling AI for molecular dynamics in drug discovery
Why molecular dynamics matters for drug discovery Molecular dynamics (MD) is an important tool in modern drug discovery. While structure prediction and ...
Closing the loop: agentic evaluation for image editing foundation models
Why evaluating image editing models is both critical and challenging Instruction-based image editing is becoming a core capability of multimodal foundation ...
MLPerf Inference v6.1: pioneering agent, VLM benchmarks
First agentic workload on datacenter hardware in MLPerf, and the first model over a trillion parameters. Plus 8.85% more throughput on identical hardware since ...
Lambda signs the White House Ratepayer Protection Pledge, reinforcing commitment to community benefits and grid reliability
SAN FRANCISCO, CA, September 14, 2026 — Lambda, Inc. (“Lambda”), the Superintelligence Cloud, today announced it has signed the White House Ratepayer ...
OpenResearcher: a reproducible and scalable pipeline for training deep research agents
A deep research agent has to do more than answer a question. It plans, searches, opens documents, gathers evidence, reasons across sources, and keeps going ...
Giving robots 3D vision without depth sensors
Giving robots better 3D perception Robots are becoming increasingly capable of learning manipulation skills directly from images. Most robot policies still ...
How SPREEAI trains the model behind photorealistic virtual try-on
A shopper uploads one photo. Ten seconds later, they’re looking at themselves wearing a garment from a brand's catalog, rendered photorealistically rather than ...
ReviewGrounder: grounding AI-assisted peer review in evidence
Peer review is buckling A scientist lives two lives. In one, they produce research. In the other, they judge everyone else's. That second job, peer review, is ...
Lambda closes $926 million senior secured term loan B facility, backing GPU deployment for an investment-grade customer
Marks Lambda’s second major debt financing this year, extending a repeatable, asset-backed model for funding committed AI infrastructure deployments
AgentFlow: when the agent's workflow learns
For two years, the field has gotten very good at training models, and it still hand-wires the agents around them. Whether an agent plans, searches, calls a ...
Build and buy: why the smartest AI teams do both
Not every workload needs a frontier model. The teams that want to keep costs predictable run open-weight models on compute they own, and save the frontier for ...
A world model for market microstructure
In Part 1 of this blog post series, I described the preprocessing problem that kept surfacing in conversations with HFT firms: their pipelines are either too ...
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