AI Radar

Qwen image 2.1 int8 convrot more tests

There is some color tint is observed. I'm not sure I like it. Lots of body horrors in hands and nails. Nothing particularly impressive but it's okay in 1girl images I guess. Well it's always good to have more free models. The transparency support is nice too. All generated in comfy template workflow, 25 steps, euler, simple. I think we have to increase the steps to 40~50, but I didn't bother. submitted by /u/Ant_6431 [link] [comments]

Higgsfield AI ships new video features in a day with GPT-6 Astra

With GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.

Quick test of some popular MiniMax H3 LoRAs

Hello everyone.. did a quick test of some of the more popular H3 LoRAs using: minimax_h3_fl2va_pruned_int8_convrot.safetensors same Will Smith reference image, same seed, same prompt, same general settings for all tests.. Resolution: 2144 × 1216 ~2.5 MP Duration: 5s Sampler: Euler Scheduler: Simple LoRA strength: 1.0 Prompt used: subject_definitions: is Will Smith shown in . Preserve his facial identity, hairstyle, skin tone, facial proportions, body proportions, and overall recognizable appearance from . summary: [reference generation] The target video is a realistic live-action restaurant…

GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay

Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control over multiple temporal horizons. Existing datasets and benchmarks, however, either cover a narrow range of games, lack language instructions, or rely on high-variance online rollouts. To address these challenges, we introduce GameHorizon, a unified data and evaluation suite that measures gameplay capabilities at different horizons for diverse model families. GameHorizon Suite consists of three components. First…

From simulation to real-world deployment: Unity Simulation Pro early access

Explore Unity Simulation Pro Early Access, a supported robotics toolkit for training and simulation.

Tokyo Game Show 2026 celebrated the past, and an uncertain AI future | Opinion

Tokyo Game Show's 30th anniversary badged itself as "the longest five days of nonstop play", a showcase of the future of gaming. In reality, the event in Japan's largest gaming convention center, Makuhari Messe, ended after only four, the final day canceled due to the risk of an oncoming typhoon , and seemed to be mightily obsessed with the past, only otherwise hinting towards a more uncertain future. Read more

iPhone Users Can Get a Share of Apple's $250 Million Settlement

Eligible iPhone users can now file claims as part of Apple's $250 million Siri AI settlement.

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model. Recent methods increasingly automate this process by iteratively proposing and selecting component-wise edits of an agent harness, practically establishing a form of recursive self-improvement (RSI) at the agent-system level. However, such recursive evolution may overfit by memorizing the training tasks, showing large in-distribution gains that shrink or even vanish on out-of-distribution benchmarks. We introduce…

Jev introduces a new shape of LLM - System One, aka Decision Models

Last week TypeSafe AI unveiled Jev , their first example of a new category of model that they are calling "System One models" (I'm with Maggie Appleton, I think "decision models" is a better name for these). Jev is an interesting variant on the usual LLM format: it still accepts text inputs, but instead of text output it returns floating point numbers corresponding to categories, yes/no questions, ratings, and associated confidence scores. TypeSafe describe Jev like this: Think of Jev as a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out. It's also…

Advisory Group on Mathematics and Artificial Intelligence

OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.

Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community