Auto-Research Arena: Benchmarking and Advancing Auto-Research in Language Modeling
As autonomous research systems become more capable, benchmarks must both evaluate their performance and support meaningful…
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Learning Force-Reactive Humanoid Loco-Manipulation
Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated…
On the stability of learning
Learning algorithms are usually analyzed under the assumption that informative gradients are continuously available. But this is…
OpenRadView
Free, open-source viewer for your own CT, MRI and X-rays Discussion | Link
Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3
AI summary AWS has released a refreshed sample showing how to manage computer vision models for each camera across factory fleets with SageMaker Python SDK v3, replacing the deprecated SageMaker Edge Manager with SageMaker Neo. For every camera, a 13-step SageMaker Pipeline trains both an autoencoder that detects anomalies and a ResNet18 classifier for defects, then compiles the approved models with Neo and registers them. To pass quality gates, the anomaly model needs an AUROC of 0.8 or higher, while the classifier must reach 0.6 balanced accuracy and 0.5 defect recall. By default, Step Functions allows up to five runs at once, and a single pass using synthetic data takes roughly $0.07 of compute.
Patient-specific rubric-based evaluation of large language models across longitudinal cancer care
Large language models (LLMs) show promise in specialty medicine, yet existing evaluations largely focus on isolated clinical…
Work Agents: Systems, Capabilities, and Optimization
As foundation models evolve from information generation to digital work execution, agents are increasingly capable of completing…
I-HITL: Inalienable Human-in-the-Loop
Human oversight is a pillar of AI safety. It is often exercised by a human in the loop (HITL) who approves critical actions taken…
Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients, without…
Profiling a Frontier Agent with EBench: From Direct Control to Harness with Policy
Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities…
Researchers find six patterns that make AI text so exhausting to read
AI summary Researchers from the University of Texas at Austin and New York University examined output from 14 language models, including GPT-5.6, Claude and Kimi K2.5, across 980 essays, 45 coding sessions and 120 conversations, comparing it with human writing. They identified six habits that hinder reading, such as rare word pairings, long gaps between linked sentence parts, stacked nouns and nouns used as verbs. The authors point to post-training that rewards correctness in math and code, noting that Llama and the base Olmo model stay closest to human prose. Claude Opus 5.5 outperformed Opus 5 in 19 of 21 comparisons, suggesting targeted finetuning can help.
Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models
A vulnerability costs more to fix the later it is discovered. As coding agents generate code faster than developers can review…
Will the real Anthropic please stand up
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign…
Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent
A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To…
In Leaked Audio, Flock CEO Tells Cops Backlash to the Company Isn’t Real
In comments at a private police conference, Garrett Langley also said his wife advised him to never apologize.
How I Built A $20K/Month Web Design Business Using AI
For years I was building WordPress websites and trying to figure out how people were scaling web design agencies to serious…
AI book prize judges face a major speed-reading challenge
Prix Pascal de Littérature IA | Dickensian solicitors | Cleobury Mortimer | Great Tapestry of Scotland | From Bayeux to Britain…
Riverside Agents
A team of AI agents for video: produce, edit, clip, post Discussion | Link
The RealReal won’t let AI agents hog designer clothing
The RealReal, a secondhand luxury fashion consignment retailer, said it's updating its bot defense system, effectively making it…
Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock
AI summary Amazon Bedrock can store the processed start of a prompt and reuse it on later requests at a reduced input price, which helps AI agents that resend tools, instructions and history at every step. Developers can let Bedrock pick the cached segment automatically (implicit mode), mark its end themselves with prompt_cache_breakpoint (explicit mode), or combine both; a reusable prefix needs at least 1,024 tokens. In a six-turn test with GPT-6 Astra, implicit caching lowered input cost by about 62% and explicit rolling breakpoints by about 61%.
Highway thieves are spoofing GPS to steal millions in data center-bound cargo
Investigators explain how highway thieves stole $100M in data center equipment.
Fitting a 4D Mandelbulb with KS3 vs MLP [R]
For the past year I have been studying using a fast K-dim hermite spline manifold algorithm, called K-Splanifolds or KS, for…
Reddit's r/opensource bans all AI-related projects, sparking backlash and a rival subreddit
AI summary The moderators of Reddit's r/opensource forum announced on Saturday evening that posts about any project using, made with, or aimed at AI are now prohibited. Under the new rules, showcased projects must also be a year old or more, still maintained and backed by several contributors, while posts from non-English speakers will be rejected because moderators cannot distinguish AI-written from translated text. Critics say the policy is overly broad and unclear, noting that the Linux kernel already includes AI-generated code; moderator Wolvereness cited exceptions such as automatic subtitles. A competing subreddit, r/TrueOpenSource, has since launched and permits AI.
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