TW Radar 2025-Apr.

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Learning dynamics, which describes how the learning of specific training examples influences the model's predictions on other examples, gives us a powerful tool for understanding the behavior of deep learning systems. We study the learning dynamics of large language models during different types of finetuning, by analyzing the step-wise decomposition of how influence accumulates among different potential responses. Our framework allows a uniform interpretation of many interesting observations about the training of popular algorithms for both instruction tuning and preference tuning. In particular, we propose a hypothetical explanation of why specific types of hallucination are strengthened after finetuning, e.g., the model might use phrases or facts in the response for question B to answer question A, or the model might keep repeating similar simple phrases when generating responses. We also extend our framework and highlight a unique ``squeezing effect'' to explain a previously observed phenomenon in off-policy direct preference optimization (DPO), where running DPO for too long makes even the desired outputs less likely. This framework also provides insights into where the benefits of on-policy DPO and other variants come from. The analysis not only provides a novel perspective of understanding LLM's finetuning but also inspires a simple, effective method to improve alignment performance.

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SQLite database

Hovering over Europe’s flattest floor with AI Posted 24 (24) April 2025

--- This begins and ends as a nice essay; there is a long section in the middle which is DH vaporizing about contradictions in motion. (_He_ thinks what he says is meaningful.) But it's also an account of fundamentally mathematical controversies by someone who, by his own account, lacks the mathematics to actually follow the points at issue. (His attitude towards his own incapacity here might be described as "cheerfully embarrassed", the way I'd laugh at myself if someone asked me to play music or even follow a beat.) This makes this an almost actively-misleading guide to the debate.
--- I will say, without indulging in any math myself, that it's incredible DH doesn't realize how much of what (following Robinson and Sraffa) he taxes the neo-classicals with also applies to Marx, at least if one takes Marx seriously. The latter's economics relies entirely on measuring the heterogeneous use-values of different sorts of capital good in homogeneous units of exchange value. It's true that Marx says exchange value is itself measured by quantity of socially-necessary labor time, or rather quantity of socially necessary abstract homogeneous labor, but that's interconvertible with money. (There's a wage rate.) If the neo-classicals aren't allowed to aggregate heterogeneous sorts of capital, why is Marx? If the neo-classicals are in trouble because the monetary values of different sorts of concrete capital goods change with the structure of demand, but (per DH) "socially necessary labor" also changes with the structure of demand, why isn't Marx in just as much trouble?

These four essential design elements will help you create a stylish new commercial awning with Carroll Architectural Shade.

Music materials digitized by the Stanford University Libraries: "Our holdings span nearly a thousand years and represent a diversity of formats, from medieval books and fragments to score manuscripts, correspondence, first and early editions, documents, engravings, and photographs. These rare materials, and in particular score manuscripts and musicians' letters, are increasingly being made available digitally to a worldwide audience through this website"

A new era of forest monitoring is quite literally taking off, ushering in what scientists are calling the ‘forest space age’. On April 29, ESA will launch its revolutionary Biomass mission, the first satellite to carry a P-band radar into space – technology that is set to transform how we understand forests and the carbon they store. Along with other space agencies’ instruments already in orbit or soon to be launched, there has never been so many ‘eyes in the sky’ focused on forests.Yet, the work of people on the ground –often in the most remote and challenging forest regions – also remains essential. Posted 24 (24) April 2025

via Ammon

ESA's Biomass mission is on the launch pad at Europe’s Spaceport in Kourou, French Guiana. Don’t miss the live coverage of liftoff on Tuesday 29 April, on ESA WebTV. Coverage will start at 10:55 CEST with commentary live from Kourou and ESA’s European Space Operations Centre in Germany. The Vega-C rocket carrying Biomass is scheduled for liftoff at 11:15.

When Theodore Roosevelt Urged Americans to “Speak Softly and Carry a Big Stick” via Instapaper https://ift.tt/oSQ4uPH

In the recent case, Pummer v. Engelbrecht, 2024 WL 5245037, (Pa. Super.https://mccormickpriore.com/2025/04/courts-chip-away-at-hit-and-run-reporting-requirements-for-uninsured-motorist-claims/https://mccormickpriore.com/2025/04/courts-chip-away-at-hit-and-run-reporting-requirements-for-uninsured-motorist-claims/

psycho prashil

On 28 March 2025, a powerful magnitude 7.7 earthquake struck central Myanmar, sending shockwaves through the region. While the country is still dealing with the devasting aftermath, scientists have used radar images from the Copernicus Sentinel-1 satellites to reveal a detailed picture of how the ground shifted as a result of the quake – offering new insights into the mechanics of the tectonic Sagaing Fault and the scale of the seismic rupture.

"【郭晓奇"

linkhut v0.1.0 — Documentation

elfutils: a collection of utilities and libraries to read, create and modify ELF binary files, find and handle DWARF debug data, symbols, thread state and stacktraces

senpai: Your everyday IRC student

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Solar Orbiter’s widest high-resolution view of the Sun

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