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The Download: GLP-1s and Eating Disorders, Self-Aware Cities,β8
GLP-1 weight-loss drugs may worsen rising eating disorders, plus self-aware cities, forever chemicals, and Binance's record crypto hack in today's Download.
Nirva Raises $33M for a Pendant That Only Listens to Youβ8
Nirva raises $33M for a lightweight AI pendant that passively listens only to the wearer, blending fashion with privacy-focused ambient AI.
Dropbox: The PC Builder's Ultimate Safety Netβ9
Discover how Dropbox acts as a PC builder's ultimate safety net, enabling full system recovery and seamless backups after catastrophic hardware failures.
The AI Notetaker Has Been Invited to All the Meetingsβ9
Wispr Flow launches real-time AI meeting notetaker, joining a crowded market in 2026, focusing on privacy, transcripts, and summaries for virtual meetings.
Microsoft's Satya Nadella Says AI Models Need an 'Emergency Brake'β8
Microsoft CEO Satya Nadella calls for an AI "emergency brake," urging a new trust architecture with external safeguards and human override controls.
The Download: Anthropic's IPO, Smarter Power Grids, and Exercise Pillsβ8
Anthropic's IPO prospectus, grid-enhancing technologies for AI data centers, and the race toward an exercise pillβtoday's tech news in The Download.
Intel Stock Plunges 28%, Erasing $12B from U.S. Government's Stakeβ8
Intel stock plunged 28% on weak Q4 guidance, erasing $12B from the U.S. government's stake, though the position remains profitable.
Sparse Tensor Networks for Individual Tree Diameter Estimationβ8
TreeNext, a lightweight sparse tensor network, estimates individual tree diameter from UAV laser scanning point clouds in mixed forests, outperforming Random Fo...
Can an Open Model Do Security Research? Cantina's apex-flash-1
Cantina's open-weights apex-flash-1, a fine-tuned GLM-5.3-Flash model, solves 40 of 60 held-out bug tasks for vulnerability research.
As AI Content Floods the Internet, Pangram Raises $9M to Detect Itβ9
Pangram raises $9M to detect AI-generated text and images, launching Pangram 4 with over 99% accuracy in identifying machine-written content.