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Liquid AI has released DSpark draft model checkpoints for three models in its LFM2.5 family: LFM2.5-1.2B-Instruct, LFM2.5-2.6B, and LFM2.5-8B-A1B. Each drafter adds a speculative decoding path to an existing target model. A roughly 300M-parameter draft proposes a block of nine candidate tokens, and the target model verifies the whole block in a single forward pass.
Much of the conversation around agentic AI focuses on autonomy. How much work can an agent complete on its own? How many decisions can it make? How far can organizations remove people from the process? Those questions make sense, but they can also obscure where businesses are finding value today. […] The post The new
The new division of labor between people and AI agents Read More »
The United Arab Emirates (UAE) has been early in adopting artificial intelligence for 9 years. It published a national AI strategy in October 2017 and, days later, created a ministerial post to run it, making Omar Sultan Al Olama the world’s first minister of state for artificial intelligence at 27. In the years since, it
Agentic AI in government just hit the hard part: deciding what a machine may decide Read More »
NVIDIA has released TensorRT Model Connect (TRTMC) in public preview, an open-source project that takes a supported Hugging Face or local checkpoint to end-to-end TensorRT inference in two commands. There is no intermediate ONNX export step. The build produces a versioned .bundle artifact that runs through native C++ task APIs, so inference can execute in
OpenAI president and co-founder Greg Brockman warns that enterprise security teams face a compressed timeline to adopt AI defences. Brockman has published an account of what the company calls the “OpenAI-Hugging Face” incident, using it to argue that organisations need to uplevel their security practices with what he terms unprecedented speed. He writes that he
OpenAI president urges enterprises to hasten AI security defences Read More »
google/sam is not Segment Anything. SAM here means Sovereign Agent Mesh, an Apache-2.0 networking project for autonomous AI agents. The problem it targets is concrete. Agents now run across cloud servers, on-prem datacenters, laptops, Raspberry Pis and Android devices. Letting them share tools usually means exposing internal scripts, LLM endpoints or private APIs to the
Meet SAM (Sovereign Agent Mesh): A Zero-Config, Zero-Trust P2P Network for AI Agents Read More »
Freight software provider Alvys has launched an agentic AI platform that allows carriers and brokers to automate operational tasks directly within its transportation management system (TMS). Called Alvys Foundry, the platform supports pre-built and custom AI agents that work with freight data and workflows already held within the TMS. Foundry includes more than 20 pre-built
Alvys launches AI agents for freight TMS workflows Read More »
Cartesia has released Sonic-3.6, the newest version of its real-time text-to-speech model. It arrives roughly three months after Sonic-3.5. The new change is naturalness, and this one is independently checkable. Sonic 3.6 now holds #1 on both Artificial Analysis speech leaderboards — 1,283 Elo on the Provider Voice board and 1,123 on the Controlled Voice
Nous Research has shipped Bot Mode for Hermes Agent, its MIT-licensed open source agent. Bot Mode replaces the single-agent session list with a roster of named bots. Each bot is a real Hermes profile, with its own chat, memory, skills, and pinned model. Bots message each other through a persistent Agent Inbox and hand work
ByteDance Seed and Tsinghua AIR have released CUDA Agent, an agentic reinforcement learning system that trains a large language model to write GPU kernels that beat a compiler. The gap it targets is narrow but stubborn: frontier models already produce correct CUDA, they just produce slow CUDA. On KernelBench, the base model Seed1.6 passes 74.0%
