Watch or Listen on YouTube AI Accelerators: What They Are, How They Work, and Which Ones Matter in 2026 Updated: 21 September, 2026 Introduction AI accelerators are specialized processors designed to speed up AI workloads such as neural-network training and inference. GPUs, TPUs, NPUs, FPGAs and custom ASICs all fall under this category, using parallel … Read more
Watch or Listen on YouTube Weekly AI News December 27 2025: The Pulse And The Pattern Introduction If you want a clean signal on where AI is heading, stop staring at the flashiest demo and start watching what breaks. This week, the most important stories weren’t “look, it writes a poem.” They were “look, it … Read more
Watch or Listen on YouTube Liquid AI LFM2 2.6B Exp Review: The “RL First” 2.6B Checkpoint Introduction A lot of model releases are loud in all the predictable ways. Bigger number, bigger chart, bigger promise. Then once in a while a small model lands that forces a more interesting question: what if we are finally … Read more
Watch or Listen on YouTube Next Embedding Prediction (NEPA): Introduction A lot of self-supervised vision feels like an elaborate workaround. Two crops, three heads, four losses, and a decoder you throw away the moment you start fine-tuning. This paper tries something refreshingly blunt. It asks: what if we just did prediction, the way language models … Read more
Watch or Listen on YouTube General Intelligence vs Universal Intelligence Debate Breakdown Introduction People love the idea of a single finish line called “AGI.” One morning you wake up, open your laptop, and the machine on the other side has “arrived,” it writes proofs, plans projects, designs hardware, and stays useful without constant babysitting. That … Read more
Watch or Listen on YouTube MiniMax M2.1 Review: API Access, Local Runs, Pricing, and Benchmarks Introduction Every few months, the internet discovers a new “coding beast” model and immediately does what it always does. Someone posts a chart, someone posts a slick UI demo, and then a thousand developers ask the only questions that matter, … Read more
8 Watch or Listen on YouTube GLM-4.7 Review: Agentic Workflows & Local Roleplay Deep Dive Introduction GLM-4.7 is a 358B-parameter open-weight model built around coding, tool use and long-running agent workflows. It supports a 200K context window and up to 128K output tokens, while Z.ai currently prices the API at $0.60 per 1M input tokens, … Read more