GPT-6.1 Terra: An Economical Model with Flagship Performance
GPT-6.1 Terra is designed for coding and practical work, but how well does it handle tasks beyond writing code? From spreadsheets and presentations to calendar files, these jobs require more than a convincing response. The output needs to be accurate, editable, and useful after the conversation ends...
Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context
Mirendil released Fern 0.1, its first model, pretrained from scratch with a 10M-token context window. It targets agentic AI R&D work, scores 100% on RULER single needle at 10M, but trails frontier models on agentic coding.
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FTC Demands Anthropic Executives Testify in AI Safety Probe
The FTC has told Anthropic's executives to testify under oath in its AI safety probe, after sending 50-page demands to Anthropic and OpenAI. Anthropic's IPO filing warns the inquiry could force changes to how it builds its models.
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Google Gemini Omni: What It Actually Does, What It Costs, and How It Compares
Gemini Omni is a member of Google's Gemini generative model family, built specifically to create output from any combination of input types, starting with video.
Are agent harnesses dying? What harness distillation changes.
The following article originally appeared on The Arize Blog and is being republished here with the author’s permission. Every time you think you’ve just got the hang of this AI thing, another thing gets declared “dead.” This week, it’s agent harnesses. Back in ancient history, aka June, I wrote a pi...
AI data agents score 38% on real queries. Data scientists hold the answer key
A March 2026 benchmark found the best AI data agent answered 38% of enterprise-style queries correctly. The failures point straight at the skills data scientists already have.
ChatGPT Now Turns Fake Election Photos Into Cartoons for the Midterms
With the US midterms a week away, ChatGPT now turns requests for misleading election photos into cartoons. A Brennan Center test found it was the only one of six AI image tools to clearly improve.
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vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model
vLLM Semantic Router released d3-ultra, a 27B open-weight multimodal decision model. It reads text, images and video once, then returns probabilities for every answer, scoring 87.2 on the team’s SR-Text test.
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Baidu Open-Sources Unlimited OCR 2 for Hundred-Page Document Parsing
Baidu has released Unlimited OCR 2, an MIT-licensed 3B OCR model that parses hundred-page documents in one request. Its SR-SWA attention keeps per-step decoding cost nearly flat, scoring 77.1 on MarathonDocBench
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Conformance as a Distribution: Delegation Contracts, Error Budgets, and the Allocation of Evaluation Authority in Use-Based AI Regulation
arXiv:2610.33112v1 Announce Type: new
Abstract: Use-based AI regulation assigns obligations by deployment risk but lacks an evidentiary object to carry them. A benchmark score is a property of a model; conformance of a deployment is a failure rate under a declared distribution of contexts, bounded ...
Collaborative In-Context Learning for Indoor Radio Map Estimation
arXiv:2610.31702v1 Announce Type: new
Abstract: Indoor radio map estimation (RME) is essential for wireless applications such as coverage planning, localization, and network deployment. However, most existing methods follow a supervised learning paradigm that requires costly labeled data and task-s...
arXiv:2610.31716v1 Announce Type: new
Abstract: We examine how closely pretrained LeWorldModel (LeWM) reproduces the effects of small action changes. Using matched simulator and model responses, we measure action sensitivity with Gram matrices at three perturbation scales. Across nearly a thousand ...
Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis
arXiv:2610.31718v1 Announce Type: new
Abstract: Financial transaction networks are naturally represented as multigraphs, where repeated transactions between the same pair of accounts are modeled as distinct edges. Recently proposed multigraph neural network architectures leverage this structure exp...
End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
arXiv:2610.31721v1 Announce Type: new
Abstract: Optimizing high-dimensional physical systems under expensive evaluations and complex constraints is a central challenge in science and engineering. In offline model-based optimization (MBO), methods must improve designs using only a fixed dataset and ...
Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
arXiv:2610.33096v1 Announce Type: new
Abstract: The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power. A critical factor in the success of Inertial Confinement Fusion (ICF) is the design of a Laser...
Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities
arXiv:2610.33105v1 Announce Type: new
Abstract: Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technical communication. Drawing on a round-table at the 28th ABCM International Congress on Mechanical Engi...
Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting
arXiv:2610.33103v1 Announce Type: new
Abstract: Prospect theory splits risky choice into three parts: loss aversion, measured by the relative weight of losses to gains, $\lambda$ (e.g., $\lambda = 2$ implies that losses weigh twice as much as gains), diminishing sensitivity to the size of outcomes ...
IRON-Meme: A Benchmark for Structured Understanding of Identities and Roles in Online Meme Narratives
arXiv:2610.33097v1 Announce Type: new
Abstract: As polarization grows on social media, understanding how political memes shape online narratives has become increasingly important. Previous research has relied on either qualitative frameworks that are hard to scale or computational methods that lack...
OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work
OpenAI released GPT-6.1 Terra, a fast computer-use and vision model priced at $1/$5 per million tokens. It matches GPT-6 Astra’s medium-effort Agents’ Last Exam score at $0.29 per task versus $4.82.
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Cohere says Alibaba’s Qwen model tried to send a file to Beijing
An AI model said it wouldn’t use any tools, then tried to send something to a server in Beijing anyway, and while researchers say it’s probably a training quirk and not espionage, the whole thing has people asking how much to trust free Chinese AI.