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Pulse · finance.biggo.com

finance.biggo.com · Nov 13

a16z Introduces "B2A Economy" Thesis: AI Agents Are Replacing Humans as the Internet's Primary Users

Andreessen Horowitz (a16z) published an article titled "Welcome to the B2A Economy," arguing that AI agents are becoming the internet's primary users…

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arXiv

Nov 10

Medical Image Segmentation: Foundation Model Adaptation versus Task-Specific Training

Foundation models pretrained on large natural-image collections are increasingly adapted for medical image segmentation, in the expectation that they will replace models trained for each task. Most comparisons, however, use data from the training distribution and a single task-specific baseline whose configuration is rarely justified, and therefore provide limited evidence of performance at new clinical sites. It also remains unclear how much of a foundation model must be adapted, and what determines this. We adapted a foundation model, DINOv2, with strategies ranging from tuning only its bias terms to full fine-tuning, and compared it with U-Nets and ResU-Nets trained from scratch. Experiments covered colonoscopy, breast ultrasound and dermoscopy, with testing on held-out data from the training source and on independent datasets from other institutions. The adapted foundation model generalised better on every external dataset. Within the training distribution, the task-specific models remained competitive when training data were abundant, and delineated boundaries more precisely, while the foundation model more often missed small lesions. Only a small fraction of the foundation…

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arXiv

Nov 6

When Instruction Files Go Stale: Documentation Debt and Hidden Cost in Coding Agents

LLM-based coding agents such as Claude Code are guided by repository instruction files (also called context files or agent configuration files) like AGENTS.md and CLAUDE.md, which are read in every agent session. As any documentation artifact, these files can fall behind the…

arXiv

Nov 6

Test-Time Compute Scales Better with Parallel Agent Teams

Test-time scaling improves the performance of a fixed model by spending more computation at inference. There are two common ways to spend it on agents when a verifier can score every attempt. Best-of-N sampling runs many independent agents and keeps the best result but…

Hacker News

Nov 6

Flawless UI-UX Skill 1.0.0

Discussed on Hacker News · 31 points · 34 comments · github.com

AR-Edit: Training-Free Autoregressive Video Editing without Inversion

Editing a video stream in real time, without access to future frames, is essential for interactive applications. Existing training-free video editing methods, however, assume full offline access to the entire sequence, while streaming approaches either rely on additional…

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