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Autoregressive approaches with large language models, such as long chain-of-thought reasoning, have become the default for new AI applications because they…
Recent advances in Gaussian splatting have enabled efficient and photorealistic head avatar reconstruction, yet monocular video-based or image-based methods…
We present WeLM-Image, a unified image foundation model that integrates multimodal understanding into text-to-image generation, instruction-guided editing, and…
Current medical benchmarks typically break down clinical competence into isolated factual questions, single-image tasks, or static case vignettes.
Reliable robotic manipulation requires both semantic understanding and precise control in three-dimensional space.
Models for physical AI tasks, such as robotics and autonomous driving, need not reason solely in language.
When firms respond to new market opportunities, their capacity choices alter the future discounted free cash flows available to both competitors and investors.
LLM-guided evolutionary search uses AI agents to improve programs for mathematical and computational problems by iteratively refining solutions and combining…
Agent harness evolution enables recursive self-improvement (RSI) without updating model weights.
How can an agent handle a real-world task end to end? Frontier models with their own harnesses still fall short on real-world benchmarks: on Terminal-Bench…
Intra-weight injection lets one model change another model's behaviour by editing its weights directly, without gradients.
Language agents increasingly work for users on the open Web, and finance is where trusting them is hardest.
Different optimizers impose different geometries on parameter updates. Adaptive methods such as Adam and AdamW use coordinate-wise updates, while matrix-aware…
Visual interaction models that support users during ongoing physical tasks require evaluation in closed loop, where assistant responses can change subsequent…
Texas is the fastest-growing data center market in the US and ground zero for Big Tech’s largest AI buildouts.
Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question.
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more…
Nothing CEO Carl Pei said in a post on X that the company's launching its first AI device in December.
What is he talking about? The post Sam Altman Makes Weird Tweet After Bruising Midterm Results appeared first on Futurism.
During one of his most recent interviews, the Nobel Prize winner provided even more of his takes on AI and the dangers associated with it.
This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear…
Data centers were on the ballot in dozens of races last night. They lost most of them.
Data centers proved to be a powerful midterm issue. The post Americans Just Resoundingly Rejected AI Data Centers appeared first on Futurism.
Elon Musk spent nearly $500 million backing Republicans in the 2026 midterms. Now election results could complicate his AI data center expansion plans.
Marketers shouldn’t have to wait for a new dashboard to understand how a campaign is performing.