Thinking Machines Lab has unveiled Inkling, its first general-purpose open-weights foundation model. It is a multimodal MoE model with 975B parameters, 41B active parameters, and a 1M-token context window. Rather…
A user asks the pipeline: “what is the premium?” on a fifty-page insurance policy. The parser looks at the doc profile it just got from the parsing brick: doc_type: insurance_policy…
Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language…
Inkling is a large (1T params!) open model to natively accept image, text, and audio inputs. TLDR; Inkling by Thinking Machines is out on Hugging Face. Inkling is a huge…
to understand backpropagation? If you’re trying to understand how modern AI systems like large language models (LLMs) are trained, backpropagation is one of the most important concepts to understand. But…
Research agents already handle real knowledge work today. Teams delegate competitive mapping, due diligence, and literature review to them. However, most benchmarks test a single answer, not large evidence-backed collections….
Existing benchmarks suggest voice AI is nearing human-level performance but real-world conversations tell a different story. Voice is rapidly becoming AI’s primary interface. From customer support and healthcare to education,…
If you’ve spent any time on GitHub Trending this month, you’ve probably noticed a pattern: it isn’t research papers turning into repositories anymore, it’s agents. Coding agents, pentesting agents, trading…
and expensive. The fast parser misses the table the answer lives in. Run the heavy one on every page of a 200-page report and you pay for 200 pages to…
Three Chinese labs now hold the top of the open-weight leaderboard. Moonshot AI’s Kimi K3, DeepSeek V4 Pro, and Zhipu AI’s GLM-5.2 are all sparse Mixture-of-Experts (MoE) models with million-token…
