Models & Research
Artificial intelligence models and research encompass the foundational algorithms, architectures, and scientific studies that drive system capabilities. Truncated covers new model releases, underlying technical advances, and published research papers.
Nvidia Open Models Help Developers Accelerate Science And Engineering
🚨 Sonnet 5.5 Extra looks like routing to next claude model asked "do you where karpathy went in 2026 do not use web" —…
Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
The Decoder — Baidu releases ERNIE 5.5 Flash Base: a 280-billion-parameter MoE model pre-trained on 33.5 trillion tokens, shipped deliberately without fine-tuning, so developers can take it wherever they want.
GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents
It's Swapping Season
Latent Space — November 4, 2026 — OpenAI’s Linux kernel security work, Kimi K3.1 Pro’s open weights, and Ricursive’s Ripple-65B.
GSLM2: Multi-Stream Speech Representation Learning and Generative Spoken Language Modeling
Change the model, effort, and thinking settings | Claude Help Center
Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai
Latent Space — November 3, 2026 — A quiet day lets us share some behind the senes.
OpenAI designs working hardware device in under one week with GPT-6
Interesting Engineering — OpenAI used GPT-6 and Astra to design a working Codex device in under a week, while testing engineering applications with Mazda.
Cost per task: Using cheap classifiers to route across Gemini models and thinking levels- Google Developers Blog
Build World Models for Interactive Simulation with NVIDIA Cosmos
NVIDIA Technical Blog — Physical AI developers working with world models face two distinct challenges: adapting models to their sensors, tasks, and data, and getting those models into applications reliably.
AI learns to predict the world without ever seeing it
Tech Xplore — Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?
Gemini Omni 1.2 Flash now GA: cost-effective video
Google Cloud Blog — Gemini Omni 1.2 Flash is now generally available on Google Cloud: fast, cost-effective, and reliable video generation and editing via API.
200× faster simulation tool could improve space docking safety
Interesting Engineering — Flexcompute has introduced its new Physics Twin for Space Plume Impingement, powered by a Physics World Model.
Tencent shares jump 6% to three-week high after Hunyuan AI model launch By Investing.com
Investing.com — Tencent shares jump 6% to three-week high after Hunyuan AI model launch
Ex-Googlers' new Apache 2.0 model Ripple-65B Preview claims the U.S. open coding lead on two major benchmarks
Some AI bots work harder to defy stereotypes, study finds
Tech Xplore — Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn't mean they aren't biased. Some models are more prejudiced than others, a Rutgers University researcher has found.
Agile Deliberation: How AI helps humans define the gray areas
moonshotai/Kimi-K3.1-Pro · Hugging Face
huggingface.co — Image-Text-to-Text model with 2.8T parameters. Download, explore files and run it on Hugging Face.
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