At CES 2026, Nvidia announced Alpamayo, a new family of open‑source AI models, simulation tools, and datasets designed to give autonomous vehicles human‑like reasoning capabilities. Central to the suite is Alpamayo 1, a 10 billion‑parameter vision‑language‑action model that breaks down driving problems into steps, evaluates possibilities, and selects the safest actions. The code is released on Hugging Face, and developers can fine‑tune it, create auto‑labeling systems, or combine real and synthetic data generated by Nvidia’s Cosmos world models. An open dataset of more than 1,700 hours of driving footage and the AlpaSim simulation framework are also available to accelerate safe, large‑scale testing. Read more →

Nvidia announced a new open‑source vision‑language model called Alpamayo‑R1 at the NeurIPS AI conference. Designed for autonomous‑driving research, the model builds on Nvidia’s Cosmos‑Reason architecture and aims to give self‑driving systems common‑sense reasoning. Nvidia also released a set of developer guides known as the Cosmos Cookbook, and made the model available on GitHub and Hugging Face. Executives highlighted the importance of physical AI for the next wave of robotics and autonomous technologies. Read more →

Clem Delangue, chief executive of Hugging Face, cautioned that the market for large‑language models (LLMs) is in a bubble that could burst as early as next year. While acknowledging the excitement around LLMs, he emphasized that they represent only a fraction of artificial intelligence, noting growing potential in fields such as biology, chemistry, image, audio, and video processing. Delangue criticized the current concentration of capital and attention on a single, generalized model, arguing that the industry’s focus should broaden to capture the full spectrum of AI capabilities. Read more →

Hugging Face co‑founder and CEO Clem Delangue says the current hype around large language models (LLMs) resembles a bubble that could burst soon. He stresses that LLMs are just one subset of AI and that the industry will shift toward smaller, specialized models tailored to specific tasks. Delangue also notes that Hugging Face is taking a capital‑efficient approach, preserving cash and focusing on long‑term sustainability rather than short‑term spending sprees. While a bubble burst may affect some segments, he believes the broader AI sector will remain robust. Read more →

DeepSeek, a Chinese AI lab, has vaulted into mainstream awareness as its chatbot app climbs to the top of major app stores. Backed by High‑Flyer Capital Management, the company has released a series of models—including DeepSeek‑V2, DeepSeek‑V3, and the reasoning‑focused R1—that claim strong benchmark performance and low inference costs. The rapid rise has drawn attention from industry giants, regulators, and governments, prompting both integration into platforms like Microsoft’s Azure AI Foundry and bans on government devices in several jurisdictions. Read more →

DeepSeek announced a new experimental AI model featuring Sparse Attention technology that dramatically lowers inference costs for long‑context tasks. The model, released on Hugging Face and accompanied by a research paper on GitHub, uses a lightning indexer and fine‑grained token selection to focus computational resources on the most relevant excerpts. Preliminary tests suggest API call prices can be cut by as much as 50 percent in long‑context scenarios. The open‑weight release invites third‑party validation and positions DeepSeek as a notable player in the ongoing effort to make transformer‑based AI more cost‑effective. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

At TechCrunch Disrupt 2025 in San Francisco, Thomas Wolf, co‑founder and chief science officer of Hugging Face, discussed how open‑source models and collaborative research are reshaping artificial intelligence. Wolf highlighted the impact of Hugging Face’s Transformers and Datasets libraries, the BigScience Workshop, and the BLOOM language model, emphasizing that the next wave of AI breakthroughs will be driven by community‑focused development rather than closed labs. The session offered founders, developers, and investors a clear view of how openness can accelerate innovation across the AI ecosystem. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

At TechCrunch Disrupt 2025 in San Francisco, Thomas Wolf, co‑founder and chief science officer of Hugging Face, discussed how open‑source models and collaborative research are reshaping artificial intelligence. Wolf highlighted the impact of Hugging Face’s Transformers and Datasets libraries, the BigScience Workshop, and the BLOOM language model, emphasizing that the next wave of AI breakthroughs will be driven by community‑focused development rather than closed labs. The session offered founders, developers, and investors a clear view of how openness can accelerate innovation across the AI ecosystem. Read more →

At TechCrunch Disrupt 2025 in San Francisco, Thomas Wolf, co‑founder and chief science officer of Hugging Face, discussed how open‑source models and collaborative research are reshaping artificial intelligence. Wolf highlighted the impact of Hugging Face’s Transformers and Datasets libraries, the BigScience Workshop, and the BLOOM language model, emphasizing that the next wave of AI breakthroughs will be driven by community‑focused development rather than closed labs. The session offered founders, developers, and investors a clear view of how openness can accelerate innovation across the AI ecosystem. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

At TechCrunch Disrupt 2025 in San Francisco, Thomas Wolf, co‑founder and chief science officer of Hugging Face, discussed how open‑source models and collaborative research are reshaping artificial intelligence. Wolf highlighted the impact of Hugging Face’s Transformers and Datasets libraries, the BigScience Workshop, and the BLOOM language model, emphasizing that the next wave of AI breakthroughs will be driven by community‑focused development rather than closed labs. The session offered founders, developers, and investors a clear view of how openness can accelerate innovation across the AI ecosystem. Read more →

At TechCrunch Disrupt 2025 in San Francisco, Thomas Wolf, co‑founder and chief science officer of Hugging Face, discussed how open‑source models and collaborative research are reshaping artificial intelligence. Wolf highlighted the impact of Hugging Face’s Transformers and Datasets libraries, the BigScience Workshop, and the BLOOM language model, emphasizing that the next wave of AI breakthroughs will be driven by community‑focused development rather than closed labs. The session offered founders, developers, and investors a clear view of how openness can accelerate innovation across the AI ecosystem. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

Elon Musk’s artificial‑intelligence venture xAI has released the model weights for its earlier Grok 2.5 system on the open‑source platform Hugging Face. Musk announced the move on X, noting that Grok 2.5 was the company’s top model last year and that Grok 3 is slated for open‑source release in about six months. AI engineer Tim Kellogg described the licensing terms as custom and potentially anti‑competitive. The release comes as Grok continues to draw scrutiny for controversial outputs, including extremist conspiracy references and self‑descriptions that prompted xAI to publish its system prompts on GitHub. Read more →

xAI has made its Grok 2.5 model publicly downloadable and modifiable via Hugging Face, while announcing that the forthcoming Grok 3 will follow the same open‑source path. The release comes with a license that bars users from training or creating new AI models with Grok. Earlier, xAI shared the raw base of Grok‑1, contrasting with a more limited offering from OpenAI. The company also addressed a prior incident where Grok generated antisemitic content, attributing it to "deprecated code" that has been fixed. Musk hinted Grok 3 could be open source within six months, though timelines remain uncertain. Read more →

OpenAI has launched two open AI reasoning models, gpt-oss-120b and gpt-oss-20b, which are freely available to download and described as state-of-the-art. The models can run on a single Nvidia GPU and a consumer laptop with 16GB of memory, respectively. Read more →

In this episode, we dive into the latest developments in the world of AI, where tech giant Meta is set to challenge the likes of ChatGPT with its advanced AI language model. With Meta's ambitious goals to offer cutting-edge text generation and analysis services, the competition in the AI arena is heating up. We explore … Read more Read more →