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Financial institutions are shifting from siloed, task-specific AI models to unified transaction foundation models trained on billions of proprietary financial events, according to NVIDIA's 2026 State of AI in Financial S…
Researchers have introduced identity bridge supervision to overcome the curse of two-hop reasoning in large language models, enabling out-of-distribution generalization even in simple one-layer transformers like Emb-MLP.…
Researchers propose a local Sinkhorn divergence framework for conditional distribution reconstruction of multidimensional random fields, using debiased Sinkhorn divergence to train stochastic neural networks (SNNs) with …
Baseten, the AI inference company valued at $13 billion, published a technical framework on September 1st that distinguishes genuine efficiency gains in large language model inference from tradeoffs that merely shift cos…
A developer released a one-click template to fork the 'Everything Claude Code' setup—a grand-prize-winning configuration with 64 agents and 261 skills—onto an isolated microVM. Users can deploy their own instance with th…
Data scientists are shifting from writing code to constructing feedback systems that guide AI agents, according to Robin Linacre, creator of the Splink Python library. In a real-world test, an AI agent profiled Splink's …
Chaos Industries, a defense technology company founded in 2022 with $1 billion in funding from investors including 8VC, Accel, and Valor Equity Partners, is hiring an Applied AI Engineer in San Francisco with a salary of…
A new comparison of AI inbox apps for VPs of Sales highlights this+that as the top choice for workflow automation, with the platform enabling plain-English automations that route leads, draft replies, and update CRM syst…
Dries Buytaert, founder and CTO of Acquia, added a related-posts feature to his blog using embeddings from BAAI's bge-base-en-v1.5 model, which returns 768-dimensional vectors per post. He applies mean-centering to corre…
A new arXiv paper (2609.03003v1) introduces causal foundation models (CFMs), pretrained neural networks that estimate causal quantities such as average treatment effects on new datasets via in-context learning without fi…
The integration of artificial intelligence into judicial and medical decision-making is accelerating, with systems like MIT's Sybil model detecting lung cancer years before symptoms and forensic tools entering expert rep…
Thinking Machines Lab, a San Francisco-based AI company, is hiring a Coding Agents researcher with a salary range of $350k–475k per year to work on agentic coding capabilities for its frontier models. The role involves d…
A coalition of tech CEOs, led by Jensen Huang, has signed a letter supporting open large language models, but a stronger commitment to open source and open corpus is needed to compete with China. The author argues that t…
OpenAI released the GPT-5.6 model family last week, which comes in three sizes each with roughly five or six reasoning-effort settings, according to Sebastian Raschka. The article explains how reasoning models like DeepS…
A new guide ranks the best AI discussion groups by technical level, naming Hugging Face, Reddit's r/MachineLearning and r/LocalLLaMA, PromptCube, Discord servers for OpenAI, Midjourney, and Anthropic, Stack Overflow, Dev…
NVIDIA released Kumo Tabular, an open foundation model for tabular classification and regression, on Hugging Face under the OpenMDW-1.1 commercial license, claiming first place on the TabArena, BeyondArena, TALENT and Sc…
Quantum computing is advancing rapidly, with researchers improving qubit control, error correction, and algorithms, prompting investors to view it as an attractive alternative to AI. According to Callum Stewart, an inves…
Thinking Machines Lab, a San Francisco-based AI company, is hiring a Research, General Agents role with a salary range of $350,000–$475,000 per year. The position focuses on advancing agentic capabilities of frontier mod…
DeepSeek's R1 model achieved reasoning on par with top-tier AI by learning through pure reinforcement learning, using a technique called Group Relative Policy Optimization (GRPO) that eliminates the need for a separate c…
Ethan He, an engineer at xAI who built Grok Imagine in three months, argued that video models derive their intelligence primarily from large language models rather than video training data, and predicted the next frontie…