Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) introduced JAZ, a minimalist agent framework that scored 70% on the StuLife long-term recall benchmark versus 62% f…
Researchers at MIT CSAIL led by Zhening Li, Omar Khattab and Armando Solar-Lezama built JAZ, an agent framework whose only primitive is an LLM-backed `invoke` function that lets the model write arbitr…
Liquid AI released an experimental 279.5-million-parameter draft model, DSpark, for its LFM2.5-VL-3B vision-language model on September 24th, which the company says cuts decoding time by up to 3.13x o…
MIT CSAIL and Stanford HAI leaders discussed academia's role in artificial intelligence, edge AI, open source, education, and innovation, according to a Forbes Innovation contributor piece by John Wer…
MIT CSAIL director Daniela Rus and UC Berkeley professor Ion Stoica discussed infrastructure, memory, edge computing, and alignment challenges facing agentic AI, according to Forbes contributor John W…
MIT CSAIL professor Tim Kraska's G5 Labs emerged from stealth on September 15 with $14 million in seed funding co-led by Pillar VC and Battery Ventures to build a bidirectional ontology compiler that …
A new study published in Nature Communications found that it is impossible to draw a direct causal link between a specific artwork and the output of diffusion-based image generators like Midjourney an…
Liquid AI, an MIT spinout, released four updated LFM2.5 checkpoints on August 19, trained with quantization-aware distillation (QAD) to retain roughly 97% of their BF16 average benchmark performance w…
Researchers at MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL) found that diffusion models trained on larger datasets exhibit 'attribution decay,' where individual training inputs …
A new MIT CSAIL study published in Nature Communications finds that individual training examples often have no measurable influence on any specific output of large generative image models, a phenomeno…
A peer-reviewed MIT CSAIL study published August 18 in Nature Communications found that diffusion-model outputs become harder to attribute to any single training image, person, or artist as training s…
MIT CSAIL and Tsinghua University researchers developed GeoPT, an AI pre-training method that learns physics from 1.3 million synthetic particle interactions, cutting labeled data needs by 60% and ach…
Rodney Brooks, the roboticist who co-founded iRobot and now serves as co-founder and CTO of Robust.AI, argued in an August 1st essay that technology forecasts conflate four distinct time scales: resea…
MIT CSAIL and Microsoft Azure Research have developed Murakkab, a resource-efficient serving system for AI agent workflows that cuts cloud costs by up to 4.3x without requiring changes to workflow log…
Turing Award winner Richard Sutton and co-founder Khurram Javed left John Carmack's Keen Technologies to launch Oak Lab, a Canadian AI startup building continuously learning agents based on Sutton's O…
MIT CSAIL and Toyota Research Institute have developed SceneSmith, a framework using three AI agents powered by GPT-5.2 to build detailed 3D virtual environments for robot training, generating scenes …
TinyAgents, a Rust-based recursive language model harness, was released on Hacker News. It implements the Recursive Language Model (RLM) execution model, enabling agents to call sub-agents, graphs to …
MIT CSAIL Alliances launched a new podcast called Building 32, hosted by Karen Given, featuring conversations with pioneers and researchers shaping AI, robotics, and computing. The podcast explores th…
Liquid AI released LFM 2.5-230M, a 230-million-parameter model that outperforms larger models on data extraction benchmarks, achieving 22.51 on CaseReportBench versus 13.83 for Qwen3.5-0.8B and 2.28 f…
Blueshoe, an AI-native law firm founded by Casey O'Grady and Kai Yee Wan, launched as a full-stack consumer and plaintiff-side firm, not a legal AI tool. The Y Combinator-backed startup aims to rebuil…