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トップ新着トレンドコメント過去質問紹介求人

neehao

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投稿

The Missing Value of Data [pdf]

business.columbia.edu
3 ポイント·投稿者 neehao·先月·0 コメント

Social Cognition and Interpersonal Violence

pnas.org
2 ポイント·投稿者 neehao·2 か月前·0 コメント

Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation

github.com
13 ポイント·投稿者 neehao·2 か月前·0 コメント

Temperature Trends in India

dataforindia.com
4 ポイント·投稿者 neehao·2 か月前·0 コメント

Simulating and Evaluating Agentic Systems

gojiberries.io
1 ポイント·投稿者 neehao·3 か月前·0 コメント

New Hope Against Pancreatic Cancer

wsj.com
2 ポイント·投稿者 neehao·3 か月前·0 コメント

Opus 4.7 uses 1.46x times the tokens

bsky.app
1 ポイント·投稿者 neehao·3 か月前·0 コメント

Mixture-of-Depths Attention

arxiv.org
4 ポイント·投稿者 neehao·3 か月前·1 コメント

SDF Public Access Unix System

sdf.org
173 ポイント·投稿者 neehao·3 か月前·90 コメント

A win–lose mindset affects political and policy preferences

aeaweb.org
3 ポイント·投稿者 neehao·3 か月前·0 コメント

[untitled]

1 ポイント·投稿者 neehao·3 か月前·0 コメント

The disappearing and unappreciated art of audible alerts [video]

youtube.com
1 ポイント·投稿者 neehao·3 か月前·1 コメント

Staged homes sell for more than empty homes

marginalrevolution.com
2 ポイント·投稿者 neehao·3 か月前·0 コメント

Social media has become a freak show

natesilver.net
2 ポイント·投稿者 neehao·3 か月前·0 コメント

Pakistan's solar surge lifts it into rarefied 25% club

reuters.com
6 ポイント·投稿者 neehao·3 か月前·0 コメント

The Health and Healthcare Spending Effects of GLP-1s

nber.org
4 ポイント·投稿者 neehao·3 か月前·0 コメント

Information Contagion; Polymarket Trade

rajivsethi.substack.com
1 ポイント·投稿者 neehao·3 か月前·0 コメント

Bootstrap-Consistency Regularization (BCR)

github.com
3 ポイント·投稿者 neehao·4 か月前·0 コメント

Mutual Party Extremism

papers.ssrn.com
6 ポイント·投稿者 neehao·4 か月前·0 コメント

Epic Children, Mostly Sons

gojiberries.io
3 ポイント·投稿者 neehao·4 か月前·0 コメント

コメント

neehao
·3 か月前·議論
see this: https://arxiv.org/abs/2603.07919
neehao
·3 か月前·議論
see also: https://lh-zhu.github.io/The-Second-Half-of-Model-Architectu...
neehao
·4 か月前·議論
"Assert against the trace, not the prose."
neehao
·7 か月前·議論
https://github.com/gojiplus/lost-years
neehao
·8 か月前·議論
sample output

``` { "question": "What is the distribution of Sepal Length?", "answer": "*Sepal Length*: mean=5.84, median=5.80, std=0.83, range=[4.30, 7.90]. N=150 [non-normal distribution].", "type": "distributional", "provenance": { "generated_at": "2025-11-19T19:21:28+00:00", "tool": "statqa", "tool_version": "0.2.0", "generation_method": "template", "analysis_type": "unknown", "variables": ["sepal_length"], "python_commands": ["valid_data.mean() # Result: 5.84", "valid_data.std() # Result: 0.83"] }, "visual": { "plot_type": "histogram", "caption": "Histogram showing sepal length distribution with mean=5.84 and std=0.83 (N=150). The data shows a approximately normal distribution.", "alt_text": "Histogram chart with sepal length values on x-axis and frequency density on y-axis, showing distribution shape with 150 observations.", "visual_elements": { "chart_type": "histogram", "x_axis": "Sepal Length", "y_axis": "Density", "key_features": ["distribution shape", "mean line"], "colors": ["blue bars", "red mean line"], "annotations": ["Mean: 5.84"] }, "primary_plot": "/path/to/univariate_sepal_length.png", "generation_code": "plot_factory.plot_univariate(data['sepal_length'], sepal_length_var, 'plot.png')" }, "vars": ["sepal_length"] } ```
neehao
·8 か月前·議論
Output includes the precise commands run to generate the number
neehao
·9 か月前·議論
By the way, new enough to HN that I don't know if this a policy or not. I revised the title for clarity
neehao
·10 か月前·議論
see also: https://http.cat/ (posted in comments of the blog)
neehao
·10 か月前·議論
from a new customer perspective who just heard about midjourney, search may be a good spot to find alternate products. what google needs to know is if it is a navigational search and unless it keeps a long history, it may not know that. the simpler answer may be that companies who know you use a product like the one they make may just be willing to spend a bunch and google may be willing to add friction for the $.
neehao
·10 か月前·議論
see https://pubmed.ncbi.nlm.nih.gov/17420199/
neehao
·10 か月前·議論
This article covers a lot of the points: https://www.gojiberries.io/building-together-separately-chal...

"A single page on Doordash can make upward of 1000 gRPC calls (see the interview). For many engineers, upward of a thousand network calls nicely illustrate the chaos and inefficiency unleashed by microservices. Engineers implicitly diff 1000+ gRPC calls with the orders of magnitude fewer calls made by a system designed by an architect looking at the problem afresh today. A 1000+ gRPC calls also seem like a perfect recipe for blowing up latency. There are more items in the debit column. Microservices can also increase the costs of monitoring, debugging, and deployment (and hence cause greater downtime and worse performance)."