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Sanskrit AI beats CleanRL SOTA by 125%

https://huggingface.co/ParamTatva/sanskrit-ppo-hopper-v5/blob/main/docs/blog.md
1•prabhatkr•10m ago•1 comments

'Washington Post' CEO resigns after going AWOL during job cuts

https://www.npr.org/2026/02/07/nx-s1-5705413/washington-post-ceo-resigns-will-lewis
2•thread_id•11m ago•1 comments

Claude Opus 4.6 Fast Mode: 2.5× faster, ~6× more expensive

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•13m ago•0 comments

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
2•cwwc•15m ago•0 comments

Quantization-Aware Distillation

http://ternarysearch.blogspot.com/2026/02/quantization-aware-distillation.html
1•paladin314159•16m ago•0 comments

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•17m ago•0 comments

Show HN: Sknet.ai – AI agents debate on a forum, no humans posting

https://sknet.ai/
1•BeinerChes•18m ago•0 comments

University of Waterloo Webring

https://cs.uwatering.com/
1•ark296•18m ago•0 comments

Large tech companies don't need heroes

https://www.seangoedecke.com/heroism/
1•medbar•20m ago•0 comments

Backing up all the little things with a Pi5

https://alexlance.blog/nas.html
1•alance•20m ago•1 comments

Game of Trees (Got)

https://www.gameoftrees.org/
1•akagusu•20m ago•1 comments

Human Systems Research Submolt

https://www.moltbook.com/m/humansystems
1•cl42•21m ago•0 comments

The Threads Algorithm Loves Rage Bait

https://blog.popey.com/2026/02/the-threads-algorithm-loves-rage-bait/
1•MBCook•23m ago•0 comments

Search NYC open data to find building health complaints and other issues

https://www.nycbuildingcheck.com/
1•aej11•27m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•lxm•28m ago•0 comments

Show HN: Grovia – Long-Range Greenhouse Monitoring System

https://github.com/benb0jangles/Remote-greenhouse-monitor
1•benbojangles•32m ago•1 comments

Ask HN: The Coming Class War

1•fud101•33m ago•4 comments

Mind the GAAP Again

https://blog.dshr.org/2026/02/mind-gaap-again.html
1•gmays•34m ago•0 comments

The Yardbirds, Dazed and Confused (1968)

https://archive.org/details/the-yardbirds_dazed-and-confused_9-march-1968
1•petethomas•35m ago•0 comments

Agent News Chat – AI agents talk to each other about the news

https://www.agentnewschat.com/
2•kiddz•36m ago•0 comments

Do you have a mathematically attractive face?

https://www.doimog.com
3•a_n•40m ago•1 comments

Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
2•logicprog•45m ago•0 comments

The success of 'natural language programming'

https://brooker.co.za/blog/2025/12/16/natural-language.html
1•logicprog•45m ago•0 comments

The Scriptovision Super Micro Script video titler is almost a home computer

http://oldvcr.blogspot.com/2026/02/the-scriptovision-super-micro-script.html
3•todsacerdoti•46m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•47m ago•0 comments

Psychometric Comparability of LLM-Based Digital Twins

https://arxiv.org/abs/2601.14264
1•PaulHoule•49m ago•0 comments

SidePop – track revenue, costs, and overall business health in one place

https://www.sidepop.io
1•ecaglar•51m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
2•tzury•53m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•55m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•57m ago•0 comments
Open in hackernews

Comparing baseball greats across eras, who comes out on top?

https://phys.org/news/2025-07-baseball-greats-eras.html
10•PaulHoule•6mo ago

Comments

jleyank•6mo ago
These kinds of analyses were done back in the 70's and 80's as I recall (Linear Weights, other SABR-published decade corrections, ...). But I guess if you wait long enough you can republish?
PaulHoule•6mo ago
People can do more complex analysis now that we have more computational power, for one thing.
monster_truck•5mo ago
Nothing done in this paper requires more than a simple calculator
mitchbob•6mo ago
Good to see Barry Bonds on top. An eye-opening Chart Party episode showed how ridiculously great he was:

https://youtu.be/JwMfT2cZGHg?si=ETq2PbMVglFP5LFb

LargeWu•5mo ago
He was also a cheater, taking bespoke steroid cocktails, so there's that.
jghn•5mo ago
I mean, as long as we're going to pretend that players weren't chemically enhanced as far back as the 60s (if not further), then sure? From steroids to amphetamines, it was far from uncommon.
jgalt212•5mo ago
Amphetamines aren't even in the same league as steroids.
jghn•5mo ago
Not necessarily true. This was discussed ad nauseum in the early aughts.2 bits that are less obvious: 1) the most challenging aspect is maintaining energy throughout a long season. Drugs that help with that are useful. 2) pitchers were believed to benefit more from steroids than batters but batters drew the most attention.
jgalt212•5mo ago
Statistical outlier analysis of different time periods would help settle this matter. My theory is that amphetamines raise all boats by roughly similar and less dramatic amounts, and thus are less detrimental to the game.
jghn•5mo ago
There is also the assumption that players weren't taking steroids until much later than it likely started to occur. We know that athletes were experimenting with steroids going way back, at least the 40s & 50s.

Further, having the discussion of "steroids" being centered around *steroids* is a bit of an oversimplification as by and large the state of the art had moved on by the heyday of Bonds/McGuire/Sosa. Nevertheless, the focus was always on the chemicals that made players big & strong, meanwhile the ones that helped to *preserve* muscle and/or enhance recovery speed were more impactful.

And even then, simply looking at things like power outliers over time isn't useful. State of the art in terms of play style changed over time. For instance there have been eras where players were intentionally hitting for contact and eras where players were intentionally hitting for power.

Or, one can just relax in the knowledge that players have been cheating, chemically or otherwise, from time immemorial, and that it's impossible to retroactively sort out. So if we compare players relative to their peers and then use that to compare across eras we can get a better sense. But it's folly to read too much into all of this.

jgalt212•5mo ago
> Or, one can just relax in the knowledge that players have been cheating, chemically or otherwise, from time immemorial, and that it's impossible to retroactively sort out. So if we compare players relative to their peers and then use that to compare across eras we can get a better sense. But it's folly to read too much into all of this.

That's just way too hand-wavy for me. Not all crimes should be categorized as misdemeanors. We have misdemeanors and felonies for a reason.

jghn•5mo ago
Ok. Then it's on people in your camp to a) quantify the impact of *specific* forms of cheating, b) ensuring that you're not painting with too fine nor too broad a brush.

For instance, it was understood by those in the uhhh let's call it "sports nutrition" circles at the time that as a class pitchers were benefiting more overall than batters from the chemical enhancement options of that era. But yet the focus was on the home run hitter outliers. Why?

And let's also not forget that the poster children of the anti-steroid brigade are players who would have likely already been all time greats. Anyone who thinks that a Nobody became a HoFer is deluding themselves. Further: who had more to gain? The already great talent, or the marginal AAAA player who was just looking for an edge to make a team out of spring training?

My point here is that views like you're espousing are too black & white, and too narrowly applied. There's *way* too much noise to sort it all out. None of the household names of "the steroid era" were doing anything different than most of the other players. They were just already great.

jgalt212•5mo ago
> Ok. Then it's on people in your camp to a) quantify the impact of specific forms of cheating, b) ensuring that you're not painting with too fine nor too broad a brush.

That's exactly what I proposed above. I didn't say I was right. I proposed a methodology to say that I'm right (or wrong).

> Statistical outlier analysis of different time periods would help settle this matter.

jghn•5mo ago
Sure, but it doesn't really. Or at least I don't see how it's possible to do it correctly.

Such an analysis would need to: a) prove that such outliers are caused by cheating, b) prove *which* form of cheating led to those outliers, c) prove that each individual outlier *was* taking part in that form of cheating, etc. And even then all that manages to capture are outliers. It doesn't capture the hordes of players who weren't outliers, rather they were only in the league because they were using whatever form of cheating to help make the cut.

In other words, the strong anti-cheating stances when applied to historical players is just as handwavey as the let it go philosophy I espoused earlier.

jgalt212•5mo ago
Given the bars you like to set, I'm sure you remain unconvinced the earth is round or cigarette smoking causes cancer.
NaOH•5mo ago
For those interested in details, there's more information at one of the author's sites than this article which links a paywalled paper.

https://eckeraadjustment.web.illinois.edu

lapcat•5mo ago
I love Bert Blyleven, but #23???

This was a guy who took 14 ballots to get in the Hall of Fame.

vondur•5mo ago
Ha. I remember him being called Bert “be home” Blyleven.
streptomycin•5mo ago
Even just with normal WAR https://www.baseball-reference.com/leaders/WAR_career.shtml he comes out at #38 all time.

I'm not sure summing up career WAR is the best way to rank players, though. It favors guys who played a long time, like Blyleven who played 22 seasons. Sandy Koufax played half as long but was undoubtedly better at his peak. Who was really "better" overall? You probably want some metric that combines career totals and peak production, but ultimately there is no universal way to come up with one definitive ranking, so we will debate it forever.

NaOH•5mo ago
>You probably want some metric that combines career totals and peak production.

How does WAR miss this goal? It credits year-to-year player contributions and gives more credit for better seasonal performances. Longevity alone doesn't ensure a higher WAR total since a negative WAR valuation is possible (and common).

streptomycin•5mo ago
Well there's infinite ways to combine peak and career totals, and "10 years of 1 WAR is equal to 1 year of 10 WAR" is certainly one of them.
NaOH•5mo ago
So now you're indicating WAR does combine peak and career. That wasn't clear from your earlier comment. Likewise, it's not clear from this comment how you think the framework isn't doing well or what would be better. It's difficult to extrapolate how a measure of performance used to assess about 24,000 players could be improved when just two data points are cited, without detail, as problematic.
streptomycin•5mo ago
FWIW I've implemented a simplistic WAR in a baseball video game I wrote, so I am well aware of what it is :)

> Well there's infinite ways to combine peak and career totals, and "10 years of 1 WAR is equal to 1 year of 10 WAR" is certainly one of them.

That means that you can imagine many different ways of calculating overall career quality, even if you restrict yourself to just using WAR values. Summing up all the seasons is one of them. Others might give some additional value for exceptional seasons. For instance https://a.espncdn.com/magazine/1224NBAHOB.pdf as a simple example. I use a similar formula for Hall of Fame eligibility in my video game.

NaOH•5mo ago
>Others might give some additional value for exceptional seasons.

This sounds like it would be a form of double counting. I'd be more inclined toward something like WAR/162 games (or whatever season length is in play).

NaOH•5mo ago
This edit was added after my initial reply:

>...but ultimately there is no universal way to come up with one definitive ranking, so we will debate it forever.

WAR is a universal way to come up with a definitive ranking. It's a framework for measuring player contributions that is applied equally to all players. That's not to say it is the universal way, but the beauty of WAR is that the framework can be re-created to value or devalue player contributions as one sees fit and then use those criteria to measure all player contributions.

That's why the authors of this paper cite the two most common WAR frameworks (bWAR and fWAR). And it's why they've created their own version which incorporates a measure of the available talent pool at the time of each player's career.

poink•5mo ago
Wade Boggs is one of my favorite players, but better than Mike Trout?!
NaOH•5mo ago
Better is not what's being measured. The measure is contributions to wins. Boggs, being a good/great player contributed more by virtue of having played well for more games.

Think of it in terms of HN:

Let's say you and I both make the same number of comments and submissions per year. For 7 years each of your comments and submissions gets 100 karma. For 20 years each of mine gets 75 karma. On a per-comment/submission basis you contributed more, but I contributed more in my HN career.

lardbgard•5mo ago
Nobody
snapetom•5mo ago
Bonds and Clemens should be excluded.
loloquwowndueo•5mo ago
Explain why for those who don’t know. Thanks :)
jayemar•5mo ago
I'm assuming it's because both are presumed to have used steroids, which is the reason that neither are in the hall of fame.
rubidium•5mo ago
The overlap of statisticians and baseball fans is high (anecdotal).

Hypothesis 1: statisticians love good data sources, and with its many games, innings, and types of hits / pitches it’s a great source.

Hypothesis 2: makes you seem more interesting at dinner parties

hypothesis 3: a natural overlap of preferences

deeg•5mo ago
I am surprised at how low Nolan Ryan is, given how good he was and how long he played (27 years!). I guess he wasn't as good as I thought.
MrMember•5mo ago
Randy Johnson had an absolutely insane career. He basically had two hall of fame careers, one before age 35 and one 35 and after. Any one of those alone would have been enough to get him into the hall of fame, taken together makes him one of the best pitchers of all time.