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I'm really anxious. I don't know if what I'm learning will still be useful in the next ten years. I also don't know where all the effort I'm putting in right now will actually take me. We're not in Kansas anymore.🤒
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Hayashi Heikichi
23.9K posts
Hayashi Heikichi
@lianda_edu
ADHDer- Übermensch Defi ,Fintech , EconCS @HKUniversity Adrasteia Labs @UofIllinois
Adrasteia Labs شامل ہوئے Ekim 2022
1.1K فالونگ2.1K فالوورز
Hayashi Heikichi ری ٹویٹ کیا
En el curso de macroeconomía 2 (maestría) de @FLACSOec vamos revisando diversos macro con dinámicas complejas. Todo en Python (Google Colab). Espero pronto consolidar este material y difundirlo, pues quizá pueden abrir nuevas discusiones "heterodoxas" e incluso "ortodoxas".
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Hayashi Heikichi ری ٹویٹ کیا
The ranks of academia are also filled with people who:
- Think of themselves as high status despite having mediocre CVs etc. and below-average scholarly output
- Cosplay as exploited proletariats despite being from upper middle class backgrounds and earning well above the median salary in their city
- Imagine themselves as important experts despite a research output consisting exclusively of ideological frippery that nobody ever reads
- Believe they earned their faculty position on merit, when it was really a combo of ideology and a nepotistic phone call from their grad adviser
- Think of themselves as overworked even though they put in about 30 hrs a week during the semester with long summer and winter breaks in between
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Almost no one discloses their use of AI. A research team conducted a thorough full-text search across more than 160,000 academic papers. The results show that among the 75,000 papers published after 2023, only 76 explicitly admitted to using AI — a disclosure rate of approximately 0.1%.Even by early 2025, the disclosure rate had risen to only 0.43%.The study offers a very intuitive estimate: For every 40 papers that display statistical characteristics of AI-generated writing, only 1 formally discloses its use of AI.
pnas.org/doi/10.1073/pn…
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Being able to read Latin was originally a good thing. But once it becomes a gatekeeping tool or screening system, my response is the same as Tyndale’s.
I defy the Pope and all his laws. If God spare my life, ere many years I will cause a boy that driveth the plough to know more of the Scriptures than thou dost.
Alvaro Lozano-Robledo@mathandcobb
You may be able to ask Mythos if "the image of an ell-adic Galois representation attached to an specific abelian variety with complex multiplication is surjective onto the maximal subgroup of Aut(T_ell(A)) allowed by its CM" but what good would an answer be if you don't know what any of these words mean? How would you formulate such a question in the first place? What you call "high priests" are people who have dedicated their lives to understand extremely technical fields. If AI systems lower the entry bar and students are able to understand what these words mean faster, we would all welcome that. But if you are going to produce quick AI answers that you yourself do not understand, and expect *us* to verify them for you, then that's not how any of this works or should work.
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This is no different from the Latin that medieval monks chanted. Back then, if you didn’t know Latin, you couldn’t read the Bible. The role of AI is equivalent to Martin Luther’s. It translates what you say into plain human language. After all, if students had to ask the teacher about every single question like this, the teacher would be exhausted to death.
Alvaro Lozano-Robledo@mathandcobb
You may be able to ask Mythos if "the image of an ell-adic Galois representation attached to an specific abelian variety with complex multiplication is surjective onto the maximal subgroup of Aut(T_ell(A)) allowed by its CM" but what good would an answer be if you don't know what any of these words mean? How would you formulate such a question in the first place? What you call "high priests" are people who have dedicated their lives to understand extremely technical fields. If AI systems lower the entry bar and students are able to understand what these words mean faster, we would all welcome that. But if you are going to produce quick AI answers that you yourself do not understand, and expect *us* to verify them for you, then that's not how any of this works or should work.
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Can we do some placebo tests Such as Putting some top journal published work on @RefineDotInk ?
Noah Williams@Bellmanequation
@mattkahn1966 @RefineDotInk If I only got picky minor details from @RefineDotInk, does that mean it’s a good paper?
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Hayashi Heikichi ری ٹویٹ کیا
The new, one-year doctorate will address the terrible, multigenerational shortage of humanities professors.
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Hayashi Heikichi ری ٹویٹ کیا
Very disappointed to see that @AramHur's latest paper in @koreaobserver has six completely fabricated citations.
Academic integrity matters, people.
A short 🧵
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Hayashi Heikichi ری ٹویٹ کیا
On this day 150 years ago William Sealy Gosset was born. He spent his whole career as a brewer at Guinness, working on a problem the textbooks ignored: how to draw conclusions from tiny samples, like four plots of barley or a handful of hops. The statistics of the day assumed large samples so Gosset invented the statistics of small ones.
Guinness barred its employees from publishing after one of them leaked trade secrets, and did not want competitors knowing it used science to brew beer so when Gosset published his method in 1908 he signed it with a pseudonym: Student.
Every clinical trial, lab experiment and A/B test that runs a t-test today is using the work of Student. The most famous name in statistics is a fake one.
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"Mythos 5 and Fable 5 models would be subject to export controls to any location outside of the U.S. and to all foreign persons within the country." So international students at US colleges won't be able to use it?
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I believe the greatest beneficiaries of AI are junior researchers dedicated to academic careers. They are not outsiders or “barbarians at the gate.” Having undergone years of systematic training—and often extensive self-study—some have even worked as interns in the very industries they research. They combine solid academic judgment with up-to-date knowledge of real-world frontiers, allowing them to use AI far more effectively than either pure novices or the established luminaries of academia to produce work that the academic community actually cares about. The more renowned someone becomes, the weaker their incentive to learn and embrace new technologies.
As alz said “In times of chaos, what is rewarded most is agency, adaptability, quickness, hard and fast work, hustle. The world as you know it may be over. Those who will win in the new world are those most excited at the thought of playing on a whole new level playing field
Existing hierarchies will be disrupted, unlikely entrants will rise rapidly to the tops of fields thought to be impossible to disrupt”
Soumitra Shukla@soumitrashukla9
This is great take and very Bourdieusian in how academic fields often use "difficulty" as a signal of priesthood
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Hayashi Heikichi ری ٹویٹ کیا
it's not lack of compute that's the issze. it's that in Europe, it's unthinkable to pay a guy in his mid 20s $600k salary and give him resources and freedom to train models without having oversight by a committee of gerontocratic professorswho don't keep up with the research
antirez@antirez
Btw I believe we have a mostly wrong framing of what could be done in Europe. Italy's Leonardo supercomputer datacenter alone plus Swiss National Supercomputing Centre has more than enough compute to train a very large LLM. It's not something impossible, also there is not magic recipe: it's just scaling, every smart team with the GPUs is doing it. People that fatally believe it is not something within reach are wrong.
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@LakeCattt And he said, Oh let not the Lord be angry, and I will speak yet but this once: Peradventure ten shall be found there. And he said, I will not destroy it for ten's sake
Genesis 18:23-33 KJV
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雖然但是
貓貓並不排斥簡體字和大陸的慣用語，在合適的語境底下，只覺得是一種中性的語言，不必然天生就要帶有什麼原罪。
而且貓貓也並不支持盲目的仇恨。
即使受到威脅、被對方視為敵人，也仍不代表我們要連坐的仇視所有與對方關聯的事物。
無條件的仇恨只會讓我們變的盲目，當目標從保護自己、讓自己強大，轉變成打倒仇人、確保對方過得不好時，我們保護自己的力量會被分散，我們真正在意的東西反而被我們遺忘了。
別人的不幸不會讓我們變得更好
貓貓總是希望，世界上所有溫柔的靈魂都能夠擺脫被加諸於自身的原罪。
湖邊的貓@LakeCattt
称呼 自指 他指 男的 🟨 🟩 男娘 🟨 🟩 伪娘 🟥 🟨 药娘 🟥 🟨 跨女 🟥 🟩 女的 🟨 🟩 mtf 🟥 🟩 貓貓 🟩 🟩
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