Lmst

Kevin Weil (@kevinweil)

GPT 5.2가 이론물리학 분야에서 새로운 결과를 도출했습니다. 수십 년간 'single minus' 글루온 진폭이 0으로 간주되고, MHV(최대 헬리시티 위반) 진폭은 두 개의 한 헬리시티와 나머지 n-2가 다른 헬리시티를 가진다고 여겨졌는데, GPT 5.2의 결과는 이러한 전통적 가정이 성립하지 않음을 보였습니다.

https://x.com/kevinweil/status/2022388305434939693

#gpt5.2 #theoreticalphysics #particlephysics #airesearch

AI Leaks and News (@AILeaksAndNews)

OpenAI의 GPT-5.2가 이론물리학 분야에서 새로운 결과를 도출했다는 주장: 많은 물리학자가 발생하지 않을 것으로 예상한 특정 입자 상호작용이 특정 조건에서 실제로 발생할 수 있음을 GPT-5.2가 유도했다는 내용이며, 작성자는 이를 'Level 4 AI' 출현으로 표기함.

https://x.com/AILeaksAndNews/status/2022405103324663906

#openai #gpt5.2 #airesearch #theoreticalphysics

OpenAI (@OpenAI)

모던 앰플리튜드 이론에서 오랫동안 비어있다고 여겨진 사례에 실제로 구조가 존재함을 보였습니다. 이 발견은 강한 상호작용(strong force)의 수학적 이해를 심화시키고, 중력으로의 확장 등 새로운 연구 방향을 열어 이론 및 응용 연구에서 중요한 단서를 제공합니다.

https://x.com/OpenAI/status/2022390103017161216

#amplitudetheory #strongforce #airesearch #gravity #theoreticalphysics

OpenAI (@OpenAI)

GPT-5.2가 이론물리학에서 새로운 결과를 도출했습니다. 연구진은 Institute for Advanced Study, Vanderbilt, Cambridge, Harvard의 연구자들과 함께 프리프린트로 결과를 공개하며, 많은 물리학자들이 발생하지 않을 것으로 예상했던 특정 조건에서 글루온 상호작용이 일어날 수 있음을 보였습니다.

https://x.com/OpenAI/status/2022390096625078389

#gpt5.2 #airesearch #theoreticalphysics #gluon #arxiv

What if black holes aren't holes?

The I-field theory proposes they're ultra-dense energy balls with
cosmic friction. From outside: identical to Einstein's black holes.
Inside: no infinities, no singularities, no information paradox.

The secret: fundamental friction (γ) stops infinite collapse.
Information gets irreversibly stored in the field itself.

Same observations, different physics—no paradoxes.
https://doi.org/10.5281/zenodo.17822009
#BlackHoles #TheoreticalPhysics #InformationParadox #Physics

New physics preprint: The Entropic I-Field Theory

Proposes fundamental irreversibility through dissipative
field dynamics. Applications demonstrated in quantum
mechanics (objective collapse), thermodynamics (entropy
production), and cosmology (inflation to dark energy).

Numerical validation across multiple systems.
Open access + reproducible code.

https://doi.org/10.5281/zenodo.17822009

#physics #theoreticalphysics #openscience #preprint

Weekly thought: How universes may begin
In Bubbleverse, universes don’t start with a Big Bang.
They emerge when physical thresholds are crossed.
Energy accumulates in a real void.
At a critical point, spacetime activates.
Expansion follows — no inflation, no fine-tuning.
The question shifts from
“What exploded?”
to
“What conditions were met?”
Less magic. More mechanism.
🔗 https://bubbleverse.dk
#Cosmology #Bubbleverse #TheoreticalPhysics #NoBigBang

1/n Notes on #UAP Discussions : It will always be challenging to tie ideas in advanced #TheoreticalPhysics and #Cosmology to UAP observables in a way the general public understands. When we start at an applied level by asking questions about how something we can observe but don’t understand works…well that sometimes requires a reset in thinking even by the folks doing the advanced work. If we surmise…

Inflation assumes vacuum energy couples to gravity…but it doesn’t
https://youtu.be/hufUGc0vY2w?si=zm2JrdBWTHvu1wWU

Curt Jaimungal and Subir Sarkar discussing current challenges in physics in an excerpt from a longer discussion

@Bubbleverse Agreement isn't the goal—revelation is. 🤝 While we diverge on the nature of singularities, reality remains the final judge.
I’m now looking toward the #BelleII team and their cutting-edge research on quantum information to provide the light we need. Let the precision of the B-factory show if these "signals" are just model limits or the very fabric of a holographic universe. ⚛️✨

#TheoreticalPhysics #BelleII #AdSCFT #QuantumGravity #HEP #Holography #QuantumInformation #TheoryHEP

Visualizing entanglement dominance in the perfect fluid 🌌. I’m currently hitting a hardware bottleneck; I need computing power and storage support to handle the massive ALICE & Belle II datasets. 💽

Looking for collaborations with research teams in #QuantumInformation to advance this analysis. ⚛️✨

#AdSCFT #HighEnergyPhysics #ResearchSupport #Holography #QuantumGravity #ScientificComputing #BelleII

@Bubbleverse
“Nature respects thresholds,” you say. But I prefer to look at the light through the cracks of reality with the curiosity of a child. 🌌✨

Where your model sees a "failed" warning light, I see the emergence of the holographic bulk. If space-time is born from entanglement, then those singularities aren't dead ends—they are the windows to the fundamental. ⚛️👁️

#TheoreticalPhysics #AdSCFT #QuantumGravity #Singularity #PhysicsHumor #PlanckScale #QuantumMechanics #BelleII #Holography

@Bubbleverse If you don’t believe in infinity ♾ stop calculating Pi decimals. We’re already at 314 trillion digits!🤯🥧

Yet, 62 decimals are enough to calculate your entire bubble with Planck precision—exactly where singularities emerge 🌀If materialized, they’d be as infinite as an electron’s probability cloud. 🌌⚛️✨💻♾
#TheoreticalPhysics #AdSCFT #QuantumGravity #Singularity #PhysicsHumor #PlanckScale #QuantumMechanics #MathPhys #LoopQuantumGravity #Phisics #AcademicMastodon

The Next Semester

There’s just a week to go before the next Semester at Maynooth University so I’ve been looking at my calendar for the weeks ahead. Actually, I won’t start teaching again until Tuesday 3rd February, because Monday 2nd February is a national holiday. As it turns out, however, I don’t have any lectures, labs or tutorials on Mondays anyway so I won’t be missing a session either on February 2nd or on May 4th, another holiday. I will have to miss one on Friday 3rd April (Good Friday), though.

The Timetable has given me two 9 o’clock lectures a week for the forthcoming Semester, one on Tuesdays and the other on Thursdays. I don’t think the students like 9am lectures very much, but I don’t mind them at all. I find it quite agreeable to have accomplished something concrete by 10am, which I don’t always do. This schedule might mean that I defer publishing papers at the Open Journal of Astrophysics on those days. I usually do this before breakfast, but I might not have time if I have to be on campus and ready to teach for 9am.

As usual, Semester 2 is a stop-start affair. We have six weeks until the Study Break, which includes the St Patrick’s Day holiday, then we’re back for two weeks (minus Good Friday) before another week off for Easter. We return on Monday April 13th to complete the Semester; the last lectures are on Friday 8th May and exams start a week later. This arrangement creates no problems for lecture-based teaching, but it takes some planning to organize labs and project deadlines around the breaks. I’ll have to think about that for my Computational Physics module.

A more serious issue for Computational Physics is how to deal with the use of Generative AI. I’ve written about this before, in general terms, but now it’s time to write down some specific rules for a specific module. A default position favoured by some in the Department is that students should not use GenAI at all. I think that would be silly. Graduates will definitely be using CoPilot or equivalent if they write code in the world outside university so we should teach them how to use it properly and effectively.

In particular, such methods usually produce a plausible answer, but how can a student be sure it is correct? It seems to me that we should place an emphasis on what steps a student has taken to check an answer, which of course they should do whether they used GenAI or did it themselves. If it’s a piece of code to do a numerical integration of a differential equation, for example, the student should test it using known analytic solutions to check it gets them right. If it’s the answer to a mathematical problem, one can check whether it does indeed solve the original equation (with the appropriate boundary conditions).

If anyone out there reading this blog has any advice to share, or even a link to their own Department’s policy on the use of GenAI in computational physics for me to ~~copy~~ adapt for use in Maynooth, I’d be very grateful!

(My backup plan is to ask ChatGPT to generate an appropriate policy…)

#ArtificialIntelligence #ChatGPT #ComputationalPhysics #Copilot #education #GenAI #generativeAI #theoreticalPhysics

Time isn’t universal.
In the Bubbleverse framework, time is activated.
Inside a universe, it runs fast and physics unfolds.
Outside, in the void, time is almost frozen — but not zero.
That single difference explains: • universe lifetimes
• late-time acceleration
• cosmic foam structure
• energy drift without dark energy
Mechanics, not metaphysics.
Read the full article:
https://bubbleverse.medium.com/parametric-time-why-the-universe-runs-faster-than-the-void-42f64594197a
#cosmology #theoreticalphysics #Bubbleverse #science #fediverse

What if time is not universal?
In the Bubbleverse framework, time is parametric — it depends on environment and energy flow.
The void runs slow.
The universe inside the bubble runs fast.
From inside the bubble, this difference can look like accelerated expansion.
Maybe the universe isn’t speeding up.
Maybe our clock is.
If the void sets the reference frame, then time itself becomes part of the physics — not just a background.
Thoughts welcome. 🌌⏳
#Cosmology #Time #Bubbleverse #TheoreticalPhysics

🎉✨Breaking news: String Theory finally manages to describe a universe with dark energy—because regular energy was just too mainstream! 🌌😜 Who knew a cocktail of buzzwords could make theoretical physics sound like a cosmic smoothie? 🚀🥤
https://www.quantamagazine.org/string-theory-can-now-describe-a-universe-that-has-dark-energy-20260114/ #StringTheory #DarkEnergy #TheoreticalPhysics #CosmicSmoothie #ScienceNews #HackerNews #ngated

Exam Time Yet Again

The January examination period at Maynooth starts tomorrow (Friday 9th January), so I thought I’d do a quick post on the topic of examinations. First of all let me wish the very best of luck to everyone at Maynooth or elsewhere taking examinations in the next few weeks. I hope at least that the exam halls are nice and warm! Actually, owing to the Sport Hall being unavailable for this examination period owing to building work, some exams will be off campus; my first exam paper is actually being sat in the GlenRoyal hotel.

Here’s a video produced by Maynooth University to remind those taking exams of some general points about preparation and, most importantly, to look after themselves before during the examination period. It’s directed at Maynooth students but students from elsewhere may find useful tips in it.

https://www.youtube.com/watch?v=-c02JFEBrbs

I completed the last of my revision sessions today but, as the first examination for which I have responsibility is not until Monday 12th, I’ll have to wait to find out how any of my own students have done but let me take this opportunity to pass on a few of my own tips more aimed at students in Physics:

Try to get a good night’s sleep before the examination and arrive in plenty of time before the start. This is especially important when there’s bad weather that may disrupt travel. It is your responsibility to get to the examination on time!
Read the entire paper before starting to answer any questions. In particular, make sure you are aware of any supplementary information, formulae, etc, given in the rubric or at the end.
Start off by tackling the question you are most confident about answering, even if it’s not Question 1. This will help settle any nerves.
Don’t rush! Students often lose marks by making careless errors. Check all your numerical results on your calculator at least twice and – PLEASE – remember to put the units!
Don’t panic! You’re not expected to answer everything perfectly. A first-class mark is anything over 70%, so don’t worry if there are bits you can’t do. If you get stuck on a part of a question, don’t waste too much time on it (especially if it’s just a few marks). Just leave it and move on. You can always come back to it later.

Readers of this blog are welcome to add other tips through the comments box below!

#Examinations #HigherEducation #MaynoothUniversity #theoreticalPhysics