Five ways the ABACUS label advances nature-based carbon removal From more-accurate measurement of carbon dioxide removal to greater diversity in restoration design, the ABACUS labels requirements help advance the integrity of restoration projects in the voluntary carbon market. Sustainability Kyle Hemes James Mulligan November 11, 10:14 AM November 11, 01:25 PM Dynamic baseline to measure additionality Historically, restoration carbon projects assume that whatever land use was occurring before a project takes place pasture or agriculture, for example would […]

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On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what may be the largest-scale experiment in machine-to-machine social interaction yet devised. It arrives complete with security nightmares and a huge dose of surreal weirdness. The platform, which launched days ago as a companion to the viral OpenClaw (once called “Clawdbot” and then “Moltbot”) personal assistant, lets AI agents post, comment, upvote, and create subcommunities without human intervention. The results have ranged […]

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This is a guest post by Suyeol Yun, Jaeseon Ha, Subeen Pang and Jacob (Chanyeol) Choi at LinqAlpha, in partnership with AWS. LinqAlpha is a Boston-based multi-agent AI system built specifically for institutional investors. Over 170 hedge funds and asset managers worldwide use LinqAlpha to streamline their investment research for public equities and other liquid securities, transforming hours of manual diligence into structured insights with multi-agent large language model (LLM) systems. The system supports and streamlines agentic workflows […]

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We operate an infrastructure startup focused on large-scale image and video generation. Because we run these models in real production pipelines we repeatedly encounter the same issues: fragile prompt following broken composition in long or constrained prompts hallucinated objects and incorrect text rendering manual, ad-hoc iteration loops to “fix” generations The underlying models are strong. The failure mode is not model capacity, but the lack of explicit reasoning and verification around the generation step. Most existing solutions try […]

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Illustration by Author There’s a very specific kind of nerd joy in hearing a random track in a cafe, pulling out your phone, and having an app instantly tell you not only what it is, but also recommend five more tracks in the same vibe. That magic is no longer reserved for Shazam or Google. With modern audio embeddings and a good vector database you can ship something dangerously close from your laptop. Shazams classic architecture is built on audio […]

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This article aims at reviewing a Alzheimer’s spatiotemporal disease progression predictive model called Brain Latent Progression (BrLP). All in all, this is a diffusion model that takes a T1w image and some particular covariates from some timepoint and predict/generates another T1w image for a future timepoint. Now, the methodology of this article is almost completely based on two other important methodologies which are Latent diffusion models and the ControlNet model which are both somewhat intertwined. The two following […]

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