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A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used as part of RAG pipelines. The approach is straightforward: retrieve relevant documents, feed them to an LLM, and let the model generate an answer based on that context.While retrieval might have...
Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 billion parameters, compared to the hundreds of billions or trillions used by leading foundation large language models (LLMs).But MiroThinker 1.5 stands out among these smaller reasoners for one major reason: it offers agentic research capabilities rivaling trillion-parameter...
Right now in the AI world, there are a lot of percolating ideas and experimentation. But as far as Replit CEO Amjad Masad is concerned, they're just "toys": unreliable, marginally effective, and generic. “There's a lot of sameness out there,” Masad explains in a new VB Beyond the Pilot podcast. “Everything kind of looks the same, all the images, all the code, everything.”This "slop," as it’s come...
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidia's latest B200 graphics processors.The model, called NousCoder-14B, is another entry in a crowded field of AI coding assistants...
In the fast-moving world of AI development, it is rare for a tool to be described as both "a meme" and AGI, artificial generalized intelligence, the "holy grail" of a model or system that can reliably outperform humans on economically valuable work. Yet, that is exactly where the Ralph Wiggum plugin for Claude Code now sits. Named after the infamously high-pitched, hapless yet persistent...
The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an independent AI benchmarking organization whose rankings are closely watched by developers and enterprise buyers, released a major overhaul to its Intelligence Index that fundamentally changes how the...
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to digest long docs, tickets, and logs, this is a bid to get “long memory” without paying attention costs that grow with context length.The approach, called “End-to-End Test-Time Training” (TTT-E2E),...
For the last two years, the prevailing logic in generative AI has been one of brute force: if you want better reasoning, you need a bigger model. While "small" models (under 10 billion parameters) have become capable conversationalists, they have historically crumbled when asked to perform multi-step logical deduction or complex mathematical proofs.Today, the Technology Innovation Institute (TII...
Nvidia CEO Jensen Huang said last year that we are now entering the age of physical AI. While the company continues to offer LLMs for software use cases, Nvidia is increasingly positioning itself as a provider of AI models for fully AI-powered systems — including agentic AI in the physical world.At CES 2026, Nvidia announced a slate of new models designed to push AI agents beyond chat interfaces...
Fintech Brex is betting that the future of enterprise AI isn’t better orchestration — it’s less of it.As generative AI agents move from copilots to autonomous systems, Brex CTO James Reggio says traditional agent orchestration frameworks are becoming a constraint rather than an enabler. Instead of relying on a central coordinator or rigid workflows, Brex has built what it calls an “Agent Mesh”: a...