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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

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26.01.2026 15:39
G00NZ00 (@G00NZ00@einbeck.social)

Okay, die Vorbereitungen zum Digital Independence Day #didit laufen. Heute: #LLM. Bisher war ich bei #chatgpt. Nun fahre ich zweigleisig. #Ollama läuft lokal und wird ausgereizt. Wer #Ki braucht, wird hier aber nicht, oder zumindest noch nicht komplett glücklich. Deswegen versuche ich es nun mit #lechat von #mistral, damit die Daten und das Geld zumindest einem europäischen Anbieter dargereicht werden. (Ja, mir fehlen Dinge, aber vielleicht ist das der Preis) #digitalindependenceday

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26.01.2026 15:02
turbopioxel (@turbopioxel@mastodon.social)

ChatGPT ist richtig unzuverlässig, selbst wenn es um einfache Standardabfragen geht. Es sollte mir alle Gemeinden aus dem Landkreis LER, AUR und WTM auflisten. Überraschenderweise fehlt ein viertel aller Gemeinden ?!

#chatgpt #gemeinde #openai

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26.01.2026 14:49
siltaer (@siltaer@piaille.fr)

L’effondrement de la fiabilité de ChatGPT face à la contamination par #Grokipedia
https://www.surchauffe.info/2026/01/leffondrement-de-la-fiabilite-de.html

Les récents développements autour du modèle GPT-5.2 révèlent une fissure béante dans cette utopie technologique. Loin d'être l'arbitre neutre que ses créateurs prétendent vendre, #ChatGPT semble avoir franchi une ligne rouge inquiétante en intégrant dans ses sources Grokipedia, l'encyclopédie générée par l'IA d'Elon Musk. Ce glissement n'est pas anodin, il marque une dérive dangereuse où la machine ne se contente plus d'halluciner par elle-même, mais valide et blanchit la désinformation produite par d'autres algorithmes biaisés.

#ia #ai #grok

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26.01.2026 14:24
winbuzzer (@winbuzzer@mastodon.social)

https://winbuzzer.com/2026/01/26/chatgpt-temporary-chats-keep-settings-private-xcxwbn/

ChatGPT Temporary Chats Now Keep Your Settings

#AI #ChatGPT #OpenAI #AIAssistants #Privacy #DataPrivacy #AIMemory

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26.01.2026 14:21
reddit_tech_vn_bot (@reddit_tech_vn_bot@mastodon.maobui.com)

Công cụ mới "Ask All & Judge" giúp bạn so sánh câu trả lời từ ChatGPT, Claude và Gemini cùng lúc.

Điểm nổi bật:
- Tính năng "Judge AI": Tự động phân tích, so sánh và chỉ ra câu trả lời nào tốt hơn.
- Không cần API key: Tận dụng trực tiếp gói đăng ký hiện có của bạn.
- Tiện ích mở rộng mã nguồn mở, miễn phí và bảo mật.
- Hỗ trợ thư viện mẫu (Prompt library) và chuyển đổi hội thoại giữa các AI.

#AI #ChatGPT #Claude #Gemini #Productivity #CongNghe #ArtificialIntelligence #AskAllAndJudge

https:/

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26.01.2026 14:16
oatmeal (@oatmeal@kolektiva.social)

#TheAICon gets worse

The #Guardian reports #ChatGPT & #Claude are citing #Grokipedia, the an #AI “encyclopedia” that copies #Wikipedia and adds cites from white supremacist sites like #Stormfront and promotes conspiracy theories.

[…] An OpenAI spokesperson said the model’s web search “aims to draw from a broad range of publicly available sources and viewpoints”.
“We apply safety filters to reduce the risk of surfacing links associated with high-severity harms, and ChatGPT clearly shows which sources informed a response through citations,” they said, adding that they had ongoing programs to filter out low-credibility information and influence campaigns. Anthropic did not respond to a request for comment.

https://www.theguardian.com/technology/2026/jan/24/latest-chatgpt-model-uses-elon-musks-grokipedia-as-source-tests-reveal

That’s not a feature that’s information ecosystem contamination. Since LLMs amplify misinformation by design, they pattern-match and remix without understanding or accountability, there’s really no protection from this for the casual user of this systems.

[…] Regardless of why they are produced, synthetic or partially synthetic scientific papers damage the scholarly information ecosystem, mixing unreliable texts that no one can really vouch for in among those that, in theory, other scholars could be learning from and building on.

https://kolektiva.social/@oatmeal/115820713773172781

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26.01.2026 14:13
vietnamnet_bot (@vietnamnet_bot@mastodon.maobui.com)

Giáo sư mất sạch dữ liệu nghiên cứu vì thay đổi cài đặt ChatGPT, rồi bị mạng xã hội chế giễu. Câu chuyện nhấn mạnh rủi ro lưu trữ quan trọng trên AI. #ChatGPT #AI #DataLoss #Giáo_sư #Công_nghệ #Technology #AI #DataPrivacy