ICE Emails Discuss Using Palantir-Supported Tool to Investigate Voter Fraud
Documents obtained by Democracy Forward show that ICE looked into feeding voter roll data into the ELITE tool, normally used to identify targets for deportation.
Documents obtained by Democracy Forward show that ICE looked into feeding voter roll data into the ELITE tool, normally used to identify targets for deportation.
Most of us now carry in our pockets devices capable of running small AI chatbots. These chatbots have little safety oversight to ensure they don’t provide information and answers with the potential to encourage self-harm, lead to financial loss or promote extremist notions—especially when operating offline.
Since i saw a post for native support in comfyui for Hunyuan image 3 i got really exited to try it out locally. On Strix Halo (Ryzen ai max 395+) i’m getting around 300 seconds per generation while on rtx 3090 it gets around 60 to 70 seconds for 1 megapixel (crashes if i go …
In this article, you will learn how to choose the right agentic AI framework for your production system by working through a structured decision-tree based…
Today, we’re excited to announce the availability of Claude Haiku 5.5 on Amazon Bedrock and Claude Platform on AWS. According to Anthropic, Claude Haiku 5.5 is the fastest and most efficient model in the Claude 5.5 family, built for subagents and high-volume, cost-sensitive work. It also costs around 75 percent less than Claude Haiku 4.5 …
Amazon Prime Big Deal Days are here, and we’ve tracked down the best discounts on all the gear our team recommends.
A new technology has been developed that can rapidly predict city-scale structural damage even when portions of satellite imagery are obscured by clouds or smoke immediately after a disaster.
I’ve been working on native ComfyUI support for Tencent’s HunyuanImage 3.0, the 80B mixture-of-experts image model (13B active per step). It isn’t a wrapper around Tencent’s pipeline: it uses the normal KSampler, the normal VAE Decode and ComfyUI’s own memory management, which streams the experts from system RAM so the model fits on one consumer …
In this article, you will learn how synchronous and asynchronous execution patterns differ architecturally, and how to choose between them when deploying LLM-based agents to…
Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing curriculum and data-selection strategies often allocate training at the environment level or prioritize local reward-based signals, without explicitly considering relationships between current rollouts across environments for prompt-group selection. Meanwhile, as environments are learned at …
Read more “RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation”