Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.
It improve on missing anatomic knowledge for female. You can use the provided workflow. Still in beta but good enough to share. Sweet spot is between 0.50-0.60. Higher will degrade the quality. MAKE SURE YOU USE JSON PROMPTS. Will add on CivitAI whenever they support the model. Edit: Already updated to the V1 version. Way …
Physical AI is moving from research into production. Robots are increasingly trained in high-fidelity simulation before being deployed to factories, warehouses, and logistics centers, because training in the real world is slow, expensive, and often unsafe, while GPU-accelerated simulation can compress months of learning into hours. This shifts the challenge to compute. Reinforcement learning (RL) …
Read more “Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI”
Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry’s latest models straight to our Agent Platform. Claude Fable 5 brings the best of Anthropic model capabilities to all customers, with strong safeguards designed to make …
A recent video of a great white shark in the Mediterranean Sea offers the possibility of deriving valuable information for conservation strategies.
Cornell researchers are investigating the potential for using artificial intelligence to give robots social intelligence—the ability to read facial cues, anticipate the needs of those around them, and function within society. The new study tested the ability of vision language models (VLMs)—AI systems that can interpret and generate both visual information and language—to predict whether …
Read more “Robots learn to anticipate chaos, but still fail to read a decidedly human signal”
Like I said in the title, Ideogram 4.0 has the absolute best character and IP knowledge I’ve seen in an open model without loras. I hated on Ideogram 4.0 when it first came out because of the initial workflow issues and the safety filter, but now that both of those things have been sorted out, …
Read more “Ideogram 4.0’s Understanding of Characters and IP is Crazy for an Open Model”
According to Futurum Research’s 2025 market overview of agentic AI platforms,
Editor’s Note: This is the fourth post in a series exploring how Palantir customizes infrastructure software for reliable operation at scale. The following is a guest contribution to the Foundations series from the Gotham Core Platform organization, which builds and maintains the bedrock for mission-critical applications within the Gotham ecosystem. This blog post by Kevin Liang, …
Read more “Managing Elasticsearch Reindex at Scale: Performance, Reliability, and Observability”
With access to the latest generative AI models and high-performance accelerated compute in high global demand, AWS customers need tools to take advantage of model availability and capacity across multiple AWS Regions, while still meeting their security and privacy requirements. cross-Region Inference (CRIS) on Amazon Bedrock meets these needs by automatically routing requests across multiple …