Jacqline Geng
2 followers · 15 following · 254 views
on the atlas — 42
- Optimization Methods | Sloan School of Management | MIT OpenCourseWare1 savers
- Introduction to Probability1 savers
- MAP | Kaspersky Cyberthreat live map2 savers
- Terminal | Glint1 savers
- Autodata: An agentic data scientist to create high quality synthetic data | alphaXiv1 savers
- The Future of Work — Result2 savers
- Who Owns the Generative AI Platform? | Andreessen Horowitz3 savers
- Mind Lab - Macaron1 savers
- Macaron-V1-Preview: 749B MoL Agent Model post-trained from GLM5.11 savers
- THU-MAIC/OpenMAIC: Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click ·1 savers
- lllyasviel/Fooocus: Focus on prompting and generating ·2 savers
- MuscleWiki - Free Exercise Library | Interactive Muscle Map2 savers
- Anara | AI you can trust2 savers
- Swishy - AI Motion Designer & Animator | Create Stunning Animations2 savers
- What’s Trading on Capitol Hill? - Capitol Trades1 savers
- AirMore AI - Focused on AI Tech and Products Reviews - From hands-on reviews and product comparisons to a curated library of free online AI utilities, AirMore AI make it easier for everyone to navigate the fast-changing world of artificial intelligence.1 savers
- eBooks List - YarrList1 savers
- Multi-Agent Reinforcement Learning: Foundations and Modern Approaches1 savers
- Deep Learning12 savers
- udlbook6 savers
- THE CYBERDECK CAFE1 savers
- Google to pay SpaceX $920 million a month for xAI compute capacity1 savers
- The Cypherpunk Library1 savers
- tidal-cheat-sheet/tidal-cheat-sheet.pdf at master · jokroese/tidal-cheat-sheet1 savers
- uzu/strudel: Web-based environment for live coding algorithmic patterns, incorporating a faithful port of TidalCycles to JavaScript - Codeberg.org1 savers
- The 100 Series: TouchDesigner Fundamentals – TouchDesigner Curriculum1 savers
- AllTouchDesigner – TouchDesigner Community & Learning1 savers
- Decoding Emotion from EEG: Introducing NOVA | Alljoined Blog8 savers
- [2602.22480] VeRO: A Harness for Agents to Optimize Agents1 savers
- [2601.21557] Meta Context Engineering via Agentic Skill Evolution1 savers
- [2604.11811] M$^\star$: Every Task Deserves Its Own Memory Harness1 savers
- [2604.21003] The Last Harness You'll Ever Build1 savers
- [2604.25850] Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses1 savers
- The Genius Who Invented Reverse Mathematics - YouTube1 savers
- A Mathematical Framework for Transformer Circuits39 savers
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.35 savers
- Distill — Latest articles about machine learning16 savers
- Yes you should understand backprop | by Andrej Karpathy | Medium14 savers
- [1911.01547] On the Measure of Intelligence12 savers
- Beyond P(doom) for AI Risk: Quantifying Uncertainty Without Probability | Center for Security and Emerging Technology2 savers
- The Mathematical Reason Most People Never "Make It"2 savers
- Constellation2 savers
highlights — 3
They ask whether Claude will replace a paralegal, or whether an LLM can outperform a junior accountant. These are pretty interesting questions, but they’re the wrong questions. They assume the institutional form of the firm (a hierarchical entity that pays salaries to coordinated workers) is the constant, and that AI is the variable acting on it. It is, (un)fortunately, the other way round.
The Future of Work — ResultThe divergence in preferred axis over time for familiar versus unfamiliar faces suggests that the brain would need to use a different decoder for familiar versus unfamiliar faces at long latencies
Temporal multiplexing of perception and memory codes in IT cortex | NatureFor each cell, the preferred axis is given by the coefficients c in the equation r = c·f + c0, where r is the response of the cell, f is a vector of shape and appearance features and c0 is a constant offset (Supplementary Methods)
Temporal multiplexing of perception and memory codes in IT cortex | Nature