Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Flux, a Boston-based engineering intelligence startup, raised $5 million in seed funding led by Calibrate Ventures with participation from True Ventures and Glasswing Ventures. The company will use the capital to acceler…
Zyphra released ZONOS2, an open-weight real-time voice-cloning model under the Apache 2.0 license, including model weights on Hugging Face and inference code on GitHub. The company also introduced ZTTS1 Eval, a new bench…
Nobel laureate Geoffrey Hinton predicts AI will surpass humans in mathematics within 10 years, arguing math is a closed system like chess or Go. Hinton, who resigned from Google in 2023 over AI safety concerns, now estim…
Frontier AI technology is being integrated into the planning and analysis of the 2026 FIFA World Cup, with applications in match predictions, player performance tracking, and tournament logistics. The collaboration aims …
The share of traffic to a personal blog from Google has steadily declined since July 2024, while visits from alternative search engines have risen, according to self-hosted analytics data analyzed by the blog's author. T…
Continual learning, where AI agents undergo persistent updates during deployment, is expected to become a key feature of advanced LLM agents because it would likely improve performance on important tasks like AI research…
Continual learning (CL) could significantly enhance the capabilities and safety of AI agents by enabling them to improve at tasks like AI research through persistent updates during deployment, though key questions about …
A developer is still seeking teammates for upcoming hackathons, offering both technical and non-technical skills. The developer is looking for people interested in AI, ML, cloud, backend, frontend, or anyone who enjoys b…
A new benchmark called FactWorld reveals that hybrid AI models combining transformer and recurrent architectures can simultaneously excel at both associative recall and state tracking, capabilities that pure transformer …
Google released the Google Colab CLI, a command-line tool that connects local terminals to remote Colab runtimes, enabling users to provision CPU, GPU, and TPU sessions and execute local Python scripts remotely. The open…
FastAPI developers often confuse authentication with authorization, but the two concepts solve distinct security problems. Authentication verifies a user's identity through credentials like passwords or tokens, while aut…
Google DeepMind researchers developed a model diffing agent that automatically discovers and validates behavioral differences between two large language models, addressing the limitation of standard evaluations that can …
Google launched the Google Colab CLI, a command-line tool enabling developers and AI agents to interact with remote Colab runtimes from a local terminal. The tool allows users to provision cloud-based GPUs and TPUs, exec…
A new method could help law enforcement identify fentanyl variants that haven't been cataloged yet, using a reference library that doesn't rely on measurements of known molecules. This approach aims to stop drug traffick…
SkyPilot released Sandboxes, a bring-your-own-cloud code execution layer that runs untrusted agent code on a user's existing Kubernetes infrastructure instead of a hosted third-party vendor. The tool allows teams to laun…
A new era of machine intelligence is emerging where artificial agents learn not from human data or solitary practice, but by interacting with each other inside learned world models. Researchers argue that multi-agent env…
Nick, a developer, ran a three-month head-to-head test comparing a fine-tuned OpenAI model against a Retrieval-Augmented Generation (RAG) stack built on the same dataset for document QA. The RAG approach delivered a 3.2×…
Nick Creighton, a developer and host of the *Build Log* podcast, has published a practical comparison of full-model fine-tuning, LoRA, and QLoRA for adapting large language models in 2024. The guide details how LoRA and …
Nick, a developer, reduced his production AI inference costs to under $50 per month by moving from cloud APIs to a local setup. After experiencing API fees exceeding $300 monthly for 13 sites, he deployed a Raspberry Pi …
The Allen Institute for AI released olmo-eval, an open-source evaluation workbench designed to support the iterative process of developing large language models. The tool builds on the institute's earlier OLMES standard …