As organizations transition from standard LLMs to massive Mixture-of-Experts (MoE) architectures like DeepSeek-R1, the primary constraint has shifted from raw compute density to communication latency and memory bandwidth. Today, we’re releasing two new validated recipes designed to help customers overcome the infrastructure bottlenecks of the agentic AI era. These new recipes provide clear steps to …
Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure. TQ Ventures led the round, with participation from FPV …
Read more “Railway secures $100 million to challenge AWS with AI-native cloud infrastructure”
From Black vampires gobbling up Oscar nominations to gay pro hockey players dominating the culture, diverse stories broke through in an environment that’s increasingly hostile to them.
Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and generate texts tailored for specific purposes. As these models are trained on large amounts of texts written by humans, they could exhibit some human-like biases, which are inclinations to …
Read more “AI models mirror human ‘us vs. them’ social biases, study shows”
I know that there are AI video generators out there that can do this 10x better and image generators too, but I was curious how a small model like Klein 4b handled it… and it turns out not too bad! There are some quirks here and there but the results came out better than I …
Read more “I converted some Half Life 1/2 screenshots into real life with the help of Klein 4b!”
In languages like C, you manually allocate and free memory.
Diffusion large language models (dLLMs) are compelling alternatives to autoregressive (AR) models because their denoising models operate over the entire sequence. The global planning and iterative refinement features of dLLMs are particularly useful for code generation. However, current training and inference mechanisms for dLLMs in coding are still under-explored. To demystify the decoding behavior of …
Read more “DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation”
This post was co-written with Naveen Pollamreddi and Seth Krause from Thomson Reuters. Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering trusted content and workflow automation solutions. With over 150 years of expertise, TR provides essential solutions across legal, tax, accounting, risk, trade, and media sectors in a fast-evolving world. AI …
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Are generative artificial intelligence systems such as ChatGPT truly creative? A research team led by Professor Karim Jerbi from the Department of Psychology at the Université de Montréal, and including AI pioneer Yoshua Bengio, also a professor at Université de Montréal, has just published the largest comparative study ever conducted on the creativity of large …