Almost a decade after handing in my thesis, I finally propose a new detector. #HEP is a funny branch of science.

RT @Kamiokaobs_pr: Excavation of the Colossal Cavern for Hyper-Kamiokande Completed.

RT @chrisquigg: Fine obituary for my friend and colleague, Mary K Gaillard, who contributed greatly to the search for charmed particles and….

RT @ABC: Scientists have discovered a giant new species of stick insect in Australia, which is over 15 inches long and researchers say may….

This thread is amazing because people are actually out here defending the concept of age verification for pizza purchases.

RT @generativist: i mostly think DOGE was a god-tier catastrophic failure and the people who invested large swaths of their personality in….

RT @dcastelvecchi: A new way of detecting neutrinos is 100 to 1,000 times more efficient than existing techniques — meaning that you can ca….

And yet all that any of us really want is for google search to become usable again.

RT @Aishik_Ghosh_: What if you could beat the Likelihood Ratio Test?. A fun and potentially transformational phy-statistics paper with Ann….

Will Science retract the CDF W mass measurement next?.

An obvious case of lex specialis. There is no way such a standard can be applied consistently and its existence will encourage academics to substitute lobbying and pressure campaigns for open collegial debate. Very poor.

RT @artistmalevich: Red Cavalry #artbots #malevich

RT @MarioHolzner: "The dominance of neoclassical economics in our university curricula has created a world where we are told there is no al….

RT @ShoahUkraine: This is a map of the extermination and concentration camps in Yugoslavia. The Ustaše regime operated 40 of them, includin….

I actually did this (ok, a few of them) at Zermatt, a couple of puny thousands of metres high, and the fever and muscle aches I went through that night were something I will never forget.

RT @balazskegl: I think this is also the majority view in industry.

I think the threshold for AI to be genuinely transformative in scientific discovery remains "can this model ask interesting questions" rather than "can this model suggest useful answers". And that remains some way off.

If you treat AI (or machine learning) as a tool, then it has been useful in many scientific domains for a long time and the latest models are impressive but not yet transformative. If you treat AI as an end in itself, then I can see why the last years feel transformative.

This LIGO AI stuff sounds like a cool piece of work but "we really needed the AI" is not what I would conclude from this paragraph

Small team focused on the project at hand, well defined quantifiable goals, short iterative dev cycles: none of this is original or should be very controversial by now. And yet. And of course you feel the difference when a motivated CS dev joins the team. Blinding light.

Some of the biggest timesinks when developing software in experimental high energy physics were caused by making choices based on our abstract impressions of what is "good" code rather than defining quantitative metrics and chasing them. And vice-versa.