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neehao

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Submissions

The Missing Value of Data [pdf]

business.columbia.edu
3 points·by neehao·mese scorso·0 comments

Social Cognition and Interpersonal Violence

pnas.org
2 points·by neehao·2 mesi fa·0 comments

Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation

github.com
13 points·by neehao·2 mesi fa·0 comments

Temperature Trends in India

dataforindia.com
4 points·by neehao·2 mesi fa·0 comments

Simulating and Evaluating Agentic Systems

gojiberries.io
1 points·by neehao·3 mesi fa·0 comments

New Hope Against Pancreatic Cancer

wsj.com
2 points·by neehao·3 mesi fa·0 comments

Opus 4.7 uses 1.46x times the tokens

bsky.app
1 points·by neehao·3 mesi fa·0 comments

Mixture-of-Depths Attention

arxiv.org
4 points·by neehao·3 mesi fa·1 comments

SDF Public Access Unix System

sdf.org
173 points·by neehao·3 mesi fa·90 comments

A win–lose mindset affects political and policy preferences

aeaweb.org
3 points·by neehao·3 mesi fa·0 comments

[untitled]

1 points·by neehao·3 mesi fa·0 comments

The disappearing and unappreciated art of audible alerts [video]

youtube.com
1 points·by neehao·3 mesi fa·1 comments

Staged homes sell for more than empty homes

marginalrevolution.com
2 points·by neehao·3 mesi fa·0 comments

Social media has become a freak show

natesilver.net
2 points·by neehao·3 mesi fa·0 comments

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

reuters.com
6 points·by neehao·3 mesi fa·0 comments

The Health and Healthcare Spending Effects of GLP-1s

nber.org
4 points·by neehao·3 mesi fa·0 comments

Information Contagion; Polymarket Trade

rajivsethi.substack.com
1 points·by neehao·3 mesi fa·0 comments

Bootstrap-Consistency Regularization (BCR)

github.com
3 points·by neehao·4 mesi fa·0 comments

Mutual Party Extremism

papers.ssrn.com
6 points·by neehao·4 mesi fa·0 comments

Epic Children, Mostly Sons

gojiberries.io
3 points·by neehao·4 mesi fa·0 comments

comments

neehao
·3 mesi fa·discuss
see this: https://arxiv.org/abs/2603.07919
neehao
·3 mesi fa·discuss
see also: https://lh-zhu.github.io/The-Second-Half-of-Model-Architectu...
neehao
·4 mesi fa·discuss
"Assert against the trace, not the prose."
neehao
·7 mesi fa·discuss
https://github.com/gojiplus/lost-years
neehao
·8 mesi fa·discuss
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 mesi fa·discuss
Output includes the precise commands run to generate the number
neehao
·9 mesi fa·discuss
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 mesi fa·discuss
see also: https://http.cat/ (posted in comments of the blog)
neehao
·10 mesi fa·discuss
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 mesi fa·discuss
see https://pubmed.ncbi.nlm.nih.gov/17420199/
neehao
·10 mesi fa·discuss
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)."