December, 2024

December, 2024

A new kind of crypto ETF weighs market trends
This is a segment from the Forward Guidance newsletter. To read full editions, subscribe. A fund issuer has adjusted several of its crypto ETFs to accommodate those seeking a different type of ...

Congress is back in session. Here’s what to expect in these final weeks.
This is a segment from the Forward Guidance newsletter. To read full editions, subscribe. Congressional leaders are back on the Hill today for the final weeks of the session, and they have thei...

Social media image sizes for all networks [February 2025]
Social media image sizes seem to change constantly. One moment you have the perfect cover page for your account. The next, it’s been resized and looks all pixelated and wrong. It doesn’t hel...

Bitcoin range consolidation a ‘healthy next step’ before BTC attempt at $100K
Bitcoin's price cooled off at the start of December, but several bullish catalysts support investor anticipation that $100,000 BTC is around the corner....

Bitcoin Price Could ‘Easily Double’ In A Short Time, Predicts Hedge Fund CEO
In the latest episode of The Milk Road Show, Charles Edwards, founder of crypto hedge fund Capriole Investments, provided an in-depth analysis of Bitcoin’s current state, its future trajectory, and ...

HyperRing Releases Payment Ring with International Support
HyperRing introduced its second-generation payment ring on December 4, which operates in multiple countries through Visa and Mastercard networks. The device functions without batteries and processes t...

The Role of Human-in-the-Loop Preferences in Reward Function Learning for Humanoid Tasks
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

Tracking Reward Function Improvement with Proxy Human Preferences in ICPL
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

Few-shot In-Context Preference Learning Using Large Language Models: Environment Details
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

ICPL Baseline Methods: Disagreement Sampling and PrefPPO for Reward Learning
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

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