AI Daily · Oct 16, 2026 · Friday
Meta open-sources Muse Spark Open, an 816B-parameter MoE multimodal model
AI summary
Meta has released Muse Spark Open, an open-weight model built on a MoE architecture with roughly 816B total parameters and about 42B activated per token. It supports text, image, audio and video input, with a context window of up to 1 million tokens. The model is also available on Amazon SageMaker JumpStart from the same day.
Model releases
Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
Muse Spark Open is an open-weight model from Meta. The mixture of experts model brings text, images, audio, and video into a model with approximately 816 billion parameters, around 42 billion active per token, and a context window of up to one million tokens.
Welcome FLUX.3 Image Klein in Diffusers
Black Forest Labs FLUX.3 Image Klein is here, and it runs in Diffusers from day one. One model does text-to-image and multi-reference image-to-image, and it adds something new, the layout control.
Apertus 1.5 Release Notes
Our latest release, Apertus 1.5, extends the 8B and 70B Apertus 1.0 models with image/audio understanding, an optional thinking mode, a four times longer context window, improved instruction-following, and better tool use. The updated 8B and 70B model weights were released to Hugging Face on July 24, 2026 under an Apache 2.0 license.
Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
Introduced last spring, the Granite Switch project enables a modular approach to model development. Now Granite Switch 4.1 models, armed with a Decision adapter and the fastest ASR model on the OpenASR leaderboard, can move efficiently between natural-language responses, general and specialized decisions, and speech-to-text tasks—all from one hosted endpoint.
Introducing Timestral
State-of-the-art probabilistic forecasting in four sizes (5M–209M params), CPU-efficient, zero-shot ready.
Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using SageMaker Studio or the SageMaker Python SDK, and run your first inference request.
Product releases
Accelerating the search for antimicrobial peptides with Google Antigravity
Accelerating the search for novel antimicrobial peptides using Google Antigravity for Science.
Be There for the Beginning: Celebrate the Launch of NVIDIA RTX Spark
A new beginning for Windows PCs starts tomorrow with the launch of NVIDIA RTX Spark — one PC built for creators, gamers and AI agents. All are invited to celebrate with NVIDIA and partners at launch events around the world. Share Your Spark Every PC has a story.
Industry
Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO
Anthropic hit $16.8 billion in third-quarter revenue, a 45 percent gain that still falls far short of Q2's 140 percent surge. With a November IPO approaching, some investors now expect the company's valuation to drop below $1.5 trillion. Slowing growth and a tough market are cooling expectations for the AI boom's biggest Wall Street test yet.
Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Research
GPT-6-Astra solves 49 of 50 physics research problems at $2.40 apiece
On the TheoPhysEval benchmark, GPT-6-Astra solves 49 of 50 unpublished theoretical physics calculations as accurately as leading specialists. In some cases where the agent seemed to fail, the experts' own reference solutions turned out to contain errors. But the researchers say physics hasn't had a breakthrough like the ones in mathematics, because the agents lack "taste."
Proof-based general-purpose computing with Magnetar
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security.
How-to and opinion
Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics
Our first robotics pod with Dyna’s Chief Scientist on their big bet on World Action Models & the Next Frontier of Physical AI
Trust in Depth: Giving agents more autonomy without losing control
Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their own when their actions can be verified, reserving human judgment for the decisions that need it.