Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it
Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without sacrificing performance.Read More
A Top NASA Official Is Among Thousands of Staff Leaving the Agency
Makenzie Lystrup’s departure from NASA’s Goddard Space Flight Center comes soon after the resignation of the director of JPL.
AI chatbots remain overconfident—even when they’re wrong, study finds
Artificial intelligence chatbots are everywhere these days, from smartphone apps and customer service portals to online search engines. But what happens when these handy tools overestimate their own abilities?
The Gory Details of Finetuning SDXL and Wasting $16k
Details on how the big diffusion model finetunes are trained is scarce, so just like with version 1, and version 2 of my model bigASP, I’m sharing all the details here to help the community. However, unlike those versions, this version is an experimental side project. And a tumultuous one at that. I’ve kept this …
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Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad
Our advanced model officially achieved a gold-medal level performance on problems from the International Mathematical Olympiad (IMO), the world’s most prestigious competition for young mathematicians. It earned a total of 35 points by perfectly solving five out of the six problems.
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
The ever-increasing parameter counts of deep learning models necessitate effective compression techniques for deployment on resource-constrained devices. This paper explores the application of information geometry, the study of density-induced metrics on parameter spaces, to analyze existing methods within the space of model compression, primarily focusing on operator factorization. Adopting this perspective highlights the core challenge: …
Build an AI-powered automated summarization system with Amazon Bedrock and Amazon Transcribe using Terraform
Extracting meaningful insights from unstructured data presents significant challenges for many organizations. Meeting recordings, customer interactions, and interviews contain invaluable business intelligence that remains largely inaccessible due to the prohibitive time and resource costs of manual review. Organizations frequently struggle to efficiently capture and use key information from these interactions, resulting in not only productivity …
Crowdstrike’s massive cyber outage 1-year later: lessons enterprises can learn to improve security
The incident’s legacy extends far beyond CrowdStrike. Organizations now implement staged rollouts and maintain manual override capabilities.Read More
Leaked Memo: Anthropic CEO Says the Company Will Pursue Gulf State Investments After All
“Unfortunately, I think ‘No bad person should ever benefit from our success’ is a pretty difficult principle to run a business on,” wrote Anthropic CEO Dario Amodei in a note to staff obtained by WIRED.
AI models learn to split up tasks, slashing wait times for complex prompts
As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with respect to how quickly they can respond to our increasingly intricate prompts requesting answers to ever-challenging problems and tasks.