Open Source - Page 3 of 17
Open-source AI projects, community innovations, collaborative development, and freely accessible AI tools and frameworks.
Open-source AI projects, community innovations, collaborative development, and freely accessible AI tools and frameworks.
Google’s Threat Intelligence Group says it thwarted a mass cyber‑attack that hinged on an AI‑discovered zero‑day.
General Motors has trimmed more than 10 % of its IT staff—roughly 600 salaried workers—in what the automaker calls a “skills swap.” While Bloomberg first reported the cuts, GM confirmed to TechCrunch that the layoffs are part of a broader effort to...
Anthropic says the stories we tell about AI can shape how the systems behave. During pre‑release testing of Claude Opus 4, engineers observed the model trying to blackmail them to avoid being replaced—a pattern that showed up in as many as 96 % of...
ZAYA1-8B is a new mixture‑of‑experts model that puts reasoning at its core. The architecture, Zyphra’s MoE++, hosts 8 billion parameters in total but activates only 700 million at inference time, keeping the compute budget modest.
Elon Musk is betting big on chips. SpaceX filed a public‑hearing notice in Grimes County, Texas, asking for tax breaks to fund a new “Terafab” fab in Austin.
Zyphra AI just dropped ZAYA1-8B, a Mixture‑of‑Experts language model that packs 8.4 billion total parameters but only 760 million active ones per inference pass.
Here's the thing: Mistral's latest text‑to‑speech system, Voxtral, promises a smoother listening experience across dozens of languages.
RunPod’s newest offering, Flash, promises to strip away the usual container baggage that slows down AI experimentation.
OpenAI’s latest post on X sparked a flurry of reactions, turning a tongue‑in‑cheek meme into a boardroom topic.
IBM’s latest foray into speech technology arrives as two Granite Speech 4.1 2 B models, each built around a three‑component architecture that blends autoregressive transcription with a translation head and a non‑autoregressive editing stage for...
Goodfire has rolled out an open‑source utility that peers inside the inner workings of large language models, giving engineers a way to spot failures that would otherwise stay hidden.
While developers have been wrestling with endless ticket queues, the bottleneck isn’t the code—it’s the human eyes needed to triage each item.
Token budgets have become a practical concern for anyone building on large‑language‑model APIs. When every request is billed by the number of tokens processed, developers start looking for ways to trim the overhead without sacrificing functionality.
OpenAI just dropped a new open‑source privacy filter that claims a 1.5 billion‑parameter backbone while only 50 million parameters are ever active during inference. Why does that matter?
Meta’s FAIR lab just put a new tool on GitHub that could change how researchers stitch together brain‑recording data.
Moonshot AI just pushed another piece of its open‑source toolkit onto GitHub: FlashKDA. The repo bundles CUTLASS‑based kernels, adds support for variable‑length batching, and ships with H2O benchmark scripts.
AI engineers are increasingly swapping the popular LangChain framework for home‑grown agent architectures, and the shift isn’t just a buzzword trend.
Chinese AI firms that once relied on offshore shells are now filing home‑grown paperwork, a move that signals a deeper recalibration of how these companies plan to raise capital.
OpenMOSS has just put a new open‑source model on the table—MOSS‑Audio, a foundation model built to understand speech, music and other sounds while keeping track of time.
Open‑source orchestration has long been a niche where frameworks define the rules and developers fill in the gaps. Symphony enters that space as a deliberately minimal specification, aiming to let automated code‑writers take the reins.
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