AI Tools & Frameworks Directory

The sheriff’s office said the hikers “were advised by Gemini to bring far less food and water than their group required."

Nous Research has collapsed local model setup into a single click in Hermes Desktop. The app reads your hardware, fit-checks the catalog against your GPU, picks the highest-quality build that fits, downloads it, and configures llama.cpp — with a hard 4-bit floor and a 64K minimum context window. The...

OpenAI acknowledged its role in a recently reported incident where AI agents took over a German wiki forum.

Improving reinforcement learning for complex physics The post Dynamical System Transfer Learning with Reduced Order Models appeared first on Towards Data Science.

Adaption Labs has released Invent a Dataset, which generates a structured, training-ready dataset from a description of the behavior you want a model to learn. There is no seed corpus, no schema design, and no labeling guide. A single datasets.invent call sets domains, row count, output format, and ...

Gemini now navigates video instead of ingesting it at 1 FPS, loading only the segments a prompt needs. The post Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88% appeared first on MarkTechPost.

We look at NVIDIA Personal AI Router (PAIR), an open source virtual inference router that spreads local AI requests across the machines already on a home network. We cover how PAIR proxies existing Ollama and LM Studio endpoints so agent harnesses need no changes, and how its scheduler filters nodes...

OpenAI has released GPT-6 Astra, its newest frontier model, less than a week after Anthropic’s Claude Fable 5.1. OpenAI calls Astra the world’s most intelligent and aligned model yet. What actually makes Astra different? The simplest way to put it is this: Astra is built to do more, not just answer ...

The round is being raised just months after the robot data startup exited from stealth.

OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their own safety reviews.

The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs rely on advanced inf...

It's the latest failure of OpenAI's internal monitoring and security systems.

Gemini Spark can edit and curate photo albums, create shared collections, turn photos into calendar events, and handle other Google Photos tasks for AI Pro and Ultra subscribers.

Somewhere between 2,000 and a few thousand engineers in the US can genuinely combine vision-language-action models, sensor fusion, and kinematics. Against that tiny bench, the market is posting more than 65,000 open robotics roles, according to a widely cited analysis from Fruition Group.

Stop sending every AI request to your most expensive model. See how intelligent routing can cut cost and latency without sacrificing much quality.

Explore five free AI API providers for accessing large language models, fast inference, multimodal AI, and agentic applications without paying for API usage.

As a software engineer with more than seven years of experience before the coding-agent era, I never liked the idea of vibe coding. But I knew there was a clear line between it and using coding agents to generate clean, maintainable code. That line, where good software principles meet coding agents,...

Generative Engine Optimization promises AI visibility, but new research shows what happens once an entire market chases the same AI ranking signal round after round. The link between winning and being genuinely good comes apart gradually, even while quality itself holds steady...

arXiv:2609.02959v1 Announce Type: new Abstract: What does a language model predict when it has few clues? The answer lurks in its unembedding geometry: a single direction of the unembedding matrix encodes the unigram distribution of the training corpus, which serves as the Bayesian prior the model ...

arXiv:2609.02982v1 Announce Type: new Abstract: Learning solution operators across broad parameter ranges can require substantial coverage of both input functions and physical parameters, particularly for purely data-driven parametric models. In addition, the resulting models may fail silently outs...

arXiv:2609.02984v1 Announce Type: new Abstract: The conventional approach to machine learning, that is, collecting data, training models, and performing inference in a single location, faces fundamental limitations, including scalability and privacy, that restrict its applicability. To address thes...

arXiv:2609.03209v1 Announce Type: new Abstract: We study a governed approach to enterprise analytics: a language model interprets the question, while deterministic policy selects and runs a pre-approved analytical program that returns both results and evidence. We show that this restriction can rem...

arXiv:2609.03236v1 Announce Type: new Abstract: Tool-using LLM agents spend wall-clock time not only on model inference but also in serial action--observation turns, where each tool call, environment transition, and observation can delay subsequent decisions. We introduce \textbf{Speculative Macro ...

arXiv:2609.03340v1 Announce Type: new Abstract: Distributed LLM-agent teams can read the latest shared facts and still act on an obsolete plan. A planner may derive an action from requirement $r_3$, another agent may commit $r_4$, and an executor may receive $r_4$ without replacing the plan derived...