#gpt5 #openai Hype: overstated. I asked gpt for a crossword in the style of NYT. Failure on so many levels.
08.08.2025 18:34 β π 0 π 1 π¬ 0 π 0@jeffzemla.bsky.social
Asst Prof of Psychology @ Syracuse University. Interested in memory, reasoning, aging, Alzheimer's, computational modeling.
#gpt5 #openai Hype: overstated. I asked gpt for a crossword in the style of NYT. Failure on so many levels.
08.08.2025 18:34 β π 0 π 1 π¬ 0 π 0Is Prolific overrun with AI bots like MTurk? 300 participants in the 10 minutes since it was posted seems faster than usual...
02.05.2025 15:56 β π 0 π 0 π¬ 0 π 0They mention POs several times (who have absolutely nothing to do with indirects) but leave out the DFAS, who negotiates indirects at NIH on behalf of taxpayers. I would rather have accountants negotiate indirects than a dude and his vibes about whether indirects are too high
19.03.2025 18:33 β π 1 π 0 π¬ 1 π 0It'd be nice to see a real discussion of this, but the article ignores the negotiation process (with real budgets and audits), regulations (esp at public Us), and positive externalities. Instead they make up figs and say "I don't know where the $ goes" That's not a productive way to lower indirects.
19.03.2025 18:26 β π 1 π 0 π¬ 1 π 06/ 3) Don't trust, verify. For things that matter, carefully review every single line of AI generated code. Step through with a debugger. There are lots of great IDEs that make this easy by using diffs to integrate AI generated code with your own (Cursor, Windsurf, Copilot)
06.03.2025 17:56 β π 0 π 0 π¬ 0 π 05/ 2) Context helps. AI is great at generating code that runs. Problems are often introduced in the translation of ideas. This is reduced by providing context. In research, this may mean giving AI your manuscript or a few papers that carefully describe the procedures you are trying to implement
06.03.2025 17:56 β π 0 π 0 π¬ 1 π 04/ 1) Consider the costs of a mistake. In data analysis, costs are large. Retractions, reputational costs, money, etc. But if there's a mistake in my class demo? Not a big deal.
06.03.2025 17:56 β π 0 π 0 π¬ 1 π 03/ A lot of people tell me they don't trust AI to code correctly. Good, you shouldn't! I've seen it make mistakes on much simpler tasks. But keep a few things in mind:
06.03.2025 17:56 β π 0 π 0 π¬ 1 π 02/ I did this to replace paid solutions that are less versatile for psychology instruction. I think it is a example of how instructors can use AI to revamp their classes in ways that are traditionally onerous (costing time or money).
06.03.2025 17:56 β π 0 π 0 π¬ 1 π 01/ I built a classroom polling tool using AI with zero coding in about 30 minutes. It allows me to present multiple choice or numeric judgements to students in a lecture, with built-in counterbalancing to demo experiments, and then display results in real time.
youtu.be/k45YidHH_lU
Obviously not a surprise that it's happening, but this is more than speculation
23.02.2025 15:25 β π 0 π 0 π¬ 0 π 0@caseynewton.bsky.social This should be discussed on your podcast. Grok instructed not to tattle on Musk and Trump
www.reddit.com/r/ChatGPT/co...
I don't care what people do with their cars, but increases in supply of the used car market hurt the new car market. So if the goal is to affect Tesla D2C sales, it seems like a plausible strategy if enough people actually followed through?
14.02.2025 19:37 β π 1 π 0 π¬ 0 π 0This but for academic papers. A lot of criticism of work is simply, βwhy didnβt they focus on some other variable/process that I think is importantβ. Taking papers on their own terms first is much more interesting and valuable.
21.01.2024 11:37 β π 276 π 40 π¬ 11 π 6Attenuation strategies like attention checks might only make things worse, because smart bots are more likely to pass these than humans. For those who use online participant pools - do you have plans to move away from them?
02.11.2023 14:59 β π 0 π 0 π¬ 0 π 0Are the days of online participant pools numbered? Creating an AgentGPT-like bot to complete surveys for passive income does not seem very difficult. Bots have always been an issue on platforms, but they have largely been dumb bots: easily detectable in the data or by platforms like Prolific.
02.11.2023 14:58 β π 2 π 0 π¬ 1 π 0Tell your undergrads: PREP at UW offers mentored research, data science training and prof. development for undergraduates from groups historically underrepresented in psych/neurosci. 28 Mayβ9 August 2024. Application window opens 1 November 2023. @spspnews.bsky.social @affectscience.bsky.social
23.10.2023 18:03 β π 15 π 16 π¬ 0 π 0