GOP setting 'dangerous precedent' with off-limits [budget reconciliation] move — and it may backfire: House Dems - Raw Story
https://www.rawstory.com/republicans-reconciliation-immigration/
Legendary composer Èliane Radigue died this past week at the age of 94. She was a pioneer of electronic music and many of her compositions expressed her Buddhist practice in their spacious and slow moving sonic fields.
A few years ago I was asked by my friend Audra Wolowiec to respond to Radigue’s beautiful ambient work, L’Îsle Re-Sonante, for Sound American.
#music
Paying Our Great Transportation Security Administration Officers and Employees (Donald J. Trump/The White House)
https://www.whitehouse.gov/presidential-actions/2026/03/memorandum-for-the-secretary-of-homeland-security-and-the-director-of-the-office-of-management-and-budget/
http://www.memeorandum.com/260327/p95#a260327p95
Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training
Anas Barakat, Souradip Chakraborty, Khushbu Pahwa, Amrit Singh Bedi
https://arxiv.org/abs/2602.21189 https://arxiv.org/pdf/2602.21189 https://arxiv.org/html/2602.21189
arXiv:2602.21189v1 Announce Type: new
Abstract: Pass@k is a widely used performance metric for verifiable large language model tasks, including mathematical reasoning, code generation, and short-answer reasoning. It defines success if any of $k$ independently sampled solutions passes a verifier. This multi-sample inference metric has motivated inference-aware fine-tuning methods that directly optimize pass@$k$. However, prior work reports a recurring trade-off: pass@k improves while pass@1 degrades under such methods. This trade-off is practically important because pass@1 often remains a hard operational constraint due to latency and cost budgets, imperfect verifier coverage, and the need for a reliable single-shot fallback. We study the origin of this trade-off and provide a theoretical characterization of when pass@k policy optimization can reduce pass@1 through gradient conflict induced by prompt interference. We show that pass@$k$ policy gradients can conflict with pass@1 gradients because pass@$k$ optimization implicitly reweights prompts toward low-success prompts; when these prompts are what we term negatively interfering, their upweighting can rotate the pass@k update direction away from the pass@1 direction. We illustrate our theoretical findings with large language model experiments on verifiable mathematical reasoning tasks.
toXiv_bot_toot
Of course Trump is killing off libraries & museums: He wants every voter as ignorant as his base. And GOP Congress will let him burn it all to the ground.
You did this to yourselves, Trump voters.
▶️ Trump’s budget would gut local libraries and museums. Congress is not on board. | News From The States
from my link log —
Bertrand Meyer remembers Tony Hoare.
https://bertrandmeyer.com/2026/03/16/celebrating-tony-hoares-mark-on-computer-science/
saved 2026-03-18
Trump’s economic agenda has created a new level of volatility for the federal budget,
as the Supreme Court ruling against many of his tariffs appeared to create a trillion-dollar hole on Friday morning that Trump quickly said he could fill.
Mr. Trump has reshaped the country’s fiscal situation since he took office last year.
He passed an expensive income tax cut that economists warned could put the already-indebted nation on an even more perilous path.
But he also ins…
This is how you judge the Starmer government.
Weapons more important than child health.
No morals. Just panic.
Some of the world’s poorest countries to lose UK aid due to 56% budget cut | Global development | The Guardian
https://www.theguardi…