Pathway bets on life after the Transformer at a $500M valuation
AI research company Pathway, which develops models based on what it calls a Post-Transformer BDH architecture, has closed a $30 million seed round at a $500 million valuation.
Model launches, new versions, benchmark results.
AI research company Pathway, which develops models based on what it calls a Post-Transformer BDH architecture, has closed a $30 million seed round at a $500 million valuation.
DeepSeek's leaderboard-topping V4 Flash completed only 53.8% of complex agent tasks in testing. Thirty hard tasks were run across eight different agent harnesses.
DeepSeek took V4-Pro out of testing, open-sourced its agent software and raised API prices. The new rates make usage outside Chinese business hours cheaper.
Microsoft Research's open-source Orchard framework provides shared infrastructure for agent training. Orchard-SWE scores 69.7 percent on SWE-bench Verified.
Cactus Compute's open model Needle 2 is built for tool calling. It ships as a single 14MB binary and runs a full session in about 28MB of RAM.
Writer has launched Palmyra X6, built on the open source GLM-5.2. Its own research says harness efficiency cuts costs more reliably than choosing a different model.
NVIDIA has released Nemotron 3.5 Lightning for long-running agentic workloads, alongside NeMo Switchyard, an open source library that routes each request to the most suitable model.
Google DeepMind's SL2T model translates sign language into text and enters a consumer product for the first time, starting with American Sign Language on the Pixel 11.
SpaceXAI's new model invests in post-training rather than a larger base. Grok 4.6 brings a 500K-token context, an agent focus and API pricing that undercuts rivals.
Alibaba's Qwen team has published the 27-billion-parameter multimodal Qwen3.8-27B under the Apache 2.0 licence. The model handles a 262,000-token context natively.
Google announced Gemini 3.7 Flash three weeks after Gemini 3.6 Flash's release, offering improvements in coding and agent tasks while halving its price.
Z.ai has introduced GLM-5.3, using the same 743-billion-parameter base model as GLM-5.2; all improvements came from post-training scaling.
Alibaba's open-weight Qwen model family surpassed 3 billion downloads globally in six months, outpacing Google and Meta. According to Hugging Face data, Qwen has become the most-derived model in the open-source ecosystem.