维尼诗人 | Winnie the Poet

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维尼诗人 | Winnie the Poet

维尼诗人 | Winnie the Poet

@JaredLipton

Boston, MA Katılım Mart 2020
51 Takip Edilen119 Takipçiler
Iwakura Lain
Iwakura Lain@1wakur4Lain·
@JaredLipton @trevorm4xdd @PDoomOrder1 @TaliaRinger Has one done that? Every single bit of math I've seen it do that was claimed as "novel" was shepherded by humans and based on earlier work that had not synthesized into the field. It mined currently available but unadvocated for solutions not generated something creative in math?
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Talia Ringer 🕊
Talia Ringer 🕊@TaliaRinger·
The math community is not angry about the fact that this was formalized, but rather the way in which it was formalized without respecting norms for mathematical collaboration. Something I hope to talk to Jesse more about
Mario Krenn@MarioKrenn6240

After the apparently amazing announcement by @mathematics_inc on the formalization of a major recent Fields-medal winning theorem, i had no idea how pissed the math-formalization community is. Very worrying discussions by some of the leaders/founders of Lean's mathlib. cc @ChrSzegedy

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Mathieu
Mathieu@miniapeur·
I hear many prospective PhD students say things like, “Wow, imagine being advised by [insert some famous professors].” Yeah, but actually, the more famous they are, the less likely you are to have much interaction with your advisor. It’s typically much better to have a rising-star professor as your advisor if you want real supervision and support.
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Trevor
Trevor@trevorm4xdd·
@PDoomOrder1 @1wakur4Lain @JaredLipton @TaliaRinger Nobody cares about engine chess and nobody uses the term "top level chess" to describe engine chess. Just because computers are better at certain things doesn't mean humans are obsolete at those things (esp for games like chess that are for human enjoyment)
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Bella
Bella@BellaBaddie__·
can I ask a dumb question… what’s the K for “thousand” stand for
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Sanjeev Arora
Sanjeev Arora@prfsanjeevarora·
At a recent meeting I heard similar comments/worries from a leader in the Lean community. I suggest that people designing AI tools here make them helpful to humans. We need a loss function that captures elegance and human utility.
Mario Krenn@MarioKrenn6240

After the apparently amazing announcement by @mathematics_inc on the formalization of a major recent Fields-medal winning theorem, i had no idea how pissed the math-formalization community is. Very worrying discussions by some of the leaders/founders of Lean's mathlib. cc @ChrSzegedy

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Daniel Litt
Daniel Litt@littmath·
Given what current-gen LLMs (say, in math, but whatever) can do, I think their apparent limitations are kind of mysterious. What is the blocker preventing, at present, high quality fully autonomous work?
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Martin Ziqiao Ma
Martin Ziqiao Ma@ziqiao_ma·
What is upsetting here is not whether the proposal gets accepted (TBH why would I even care...), but that "the inclusion of an undergraduate on the organizing committee" was treated as a concern in itself. That sends an extremely discouraging message to junior researchers. Seeing our junior colleague apologize over this was honestly heartbreaking. ACs could have just said "space is limited" right? We were all undergraduates once, before grad school, and most of us entered this field with very limited connections, nothing but curiosity, and a willingness to contribute. I have had the chance to work with many outstanding undergraduate researchers, and I have learned a great deal from them. Many remarkable open-source contributors are not even undergraduates yet, but still high school students. If the argument is that workshop organization requires time and community connections that undergraduates may lack, then that standard should be applied consistently: (i) stop asking undergraduates to review teh main conference, and (ii) let senior people provide the missing connections instead of using status as a gatekeeping criterion. If the concern is their lack of connections, then fine, I'll be their connection, even if I'm still a rather useless one for now.
Freda Shi@fredahshi

@cypaquette @neu_rips After seeing the decision comment, our undergrad apologized to us, which I do feel bad about. Our community could’ve been more considerate and show more welcome to outstanding junior researchers. (2/)

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B/R Open Ice
B/R Open Ice@BR_OpenIce·
It's pretty simple... if McDavid doesn't score, the Oilers don't win.
B/R Open Ice tweet media
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Courtney Paquette
Courtney Paquette@cypaquette·
ICML workshop acceptance rate was 18% this year (due to space constraints), with submissions up 60% from last year. That meant many very strong, high-quality workshop proposals could not be accepted. (1/) @neu_rips @fredahshi
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UThink
UThink@ut32_com·
@KKaWSB Windows 11的运营就该交给中国公司,只有中国公司才懂广告怎么放,用户一点办法都没有
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KK.aWSB
KK.aWSB@KKaWSB·
微软服软了。 Windows 11声誉跌到谷底后,执行副总裁Pavan Davuluri发布长文《Our commitment to Windows quality》,几乎是一封没有道歉的道歉信。 核心改动: 1)Copilot踩刹车。从Notepad、Photos、Snipping Tool、Widgets中移除AI入口。不再到处塞按钮。 2)广告收敛。开始菜单推荐栏广告减少,甚至可以完全关掉。 3)任务栏终于能移了。上下左右随便放,右键直接设置。Windows 10时代的基本功能,花了四年才还回来。 4)Windows Update不再流氓。可以跳过、可以延后、可以关机不装更新。强制重启减少。 5)内存占用下降。低配机器跑得动,高配机器也受益。 6)文件资源管理器修bug。启动更快、闪烁更少、导航更顺。 首批改进3月和4月进Insider,全年逐步铺开。 Engadget的标题写得最狠:"在你们太多人威胁要换Linux之后。" 用户骂了四年,微软终于听进去了。
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emirate🕊️
emirate🕊️@clinton_emirate·
Is she Korean, Japanese or Chinese?
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Hoops
Hoops@Hoopss·
Honestly can’t decide here 😳
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维尼诗人 | Winnie the Poet
@fredahshi Isn't this against diversity, equity, and inclusion? Why can't undergrad help organize workshops? Organizing is just helping! Sending emails is organizing.
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Freda Shi
Freda Shi@fredahshi·
Our workshop was rejected by #ICML2026. Despite having 3 professors (2 full profs) and 2 senior research scientists, the only reason for rejection was "you got an undergrad on the organizing committee," who is actually a highly competent incoming PhD student. (1/)
Freda Shi tweet media
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Henry Shevlin
Henry Shevlin@dioscuri·
just got invited to peer review a paper I'm one of the authors on
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eigenron
eigenron@eigenron·
so basically no question of prime interest was asked.
Dwarkesh Patel@dwarkesh_sp

The Terence Tao episode. We begin with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion. People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops. But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long. During this time, what we know today as the better theory can often actually make worse predictions (Copernicus's model of circular orbits around the sun was actually less accurate than Ptolemy's geocentric model). And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don’t even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy! 0:00:00 – Kepler was a high temperature LLM 0:11:44 – How would we know if there’s a new unifying concept within heaps of AI slop? 0:26:10 – The deductive overhang 0:30:31 – Selection bias in reported AI discoveries 0:46:43 – AI makes papers richer and broader, but not deeper 0:53:00 – If AI solves a problem, can humans get understanding out of it? 0:59:20 – We need a semi-formal language for the way that scientists actually talk to each other 1:09:48 – How Terry uses his time 1:17:05 – Human-AI hybrids will dominate math for a lot longer Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.

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