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dataviz1000

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Show HN:Goldseam – 用本地法学硕士治愈破碎的赛普拉斯选择器

github.com
2 分·作者 dataviz1000·5天前·0 评论

Show HN: Visualizing Contrastive Language-Audio Pretraining (Clap)

adamsohn.com
3 分·作者 dataviz1000·8天前·0 评论

Filtering music and speech in YouTube videos to isolate the car engine audio

adamsohn.com
2 分·作者 dataviz1000·9天前·0 评论

Show HN: Classify mechanical faults using Contrastive Language-Audio Pretraining

github.com
35 分·作者 dataviz1000·9天前·3 评论

An Interview with Josh Fisher – Inventing VLIW, Multiflow, Itanium [video]

youtube.com
4 分·作者 dataviz1000·2个月前·0 评论

Show HN: Agent that mines academic research for novel time series discoveries

github.com
2 分·作者 dataviz1000·2个月前·0 评论

Show HN: Mapping Sonnet's thinking process via flame charts

adamsohn.com
3 分·作者 dataviz1000·3个月前·0 评论

Show HN: HNswered – watches for replies to your Hacker News posts and comments

github.com
30 分·作者 dataviz1000·3个月前·33 评论

Show HN: Group Relative Policy Optimization, visualized step by step

adamsohn.com
1 分·作者 dataviz1000·3个月前·0 评论

Show HN: Reliably Incorrect – explore LLM reliability with data visualizations

adamsohn.com
2 分·作者 dataviz1000·3个月前·3 评论

Show HN: Agent Tuning, using recursion to achieve predictable agent output

github.com
5 分·作者 dataviz1000·3个月前·0 评论

Show HN: A technique for self-improving agents

1 分·作者 dataviz1000·4个月前·0 评论

How an Early 20th Century Steam Ship Works [video]

youtube.com
1 分·作者 dataviz1000·4个月前·0 评论

"Civil Disobedience" – Henry David Thoreau (1849) [pdf]

blogs.law.columbia.edu
8 分·作者 dataviz1000·6个月前·0 评论

Ask HN: What share of your daily dev tools/libraries are from Microsoft?

4 分·作者 dataviz1000·10个月前·3 评论

评论

dataviz1000
·3小时前·讨论
> 首席执行官被解雇,然后政变又回到了公司

我们正在讨论 1985 年的史蒂夫·乔布斯吗?
dataviz1000
·6小时前·讨论
[deleted]
dataviz1000
·13小时前·讨论
我也这么做了,并且取得了令人难以置信的成功。

这是我定义的技能的示例。 [0] 它将存储库复制到 /tmp/ 文件夹中,加载所有依赖项,更改重要位置的所有代码,注入带有时间戳和元数据的调试语句,打印到文件中,即使代码有效,它仍然会分析输出。它还将使用快照测试实用程序,该实用程序在性能调整后比任何 MCP 或浏览器使用服务便宜几倍,推动用户寻找任何像素不完美的地方。 (嗯,我没有将快照实用程序折叠到该项目中,因为该项目首先是一个测试工具)。这是快照实用程序。 [1]

它在迭代中几乎没有摩擦地做到了这一点,我的狗屎是完美的!此外,在这种方法上,《Fable》并没有比《Opus》有任何优势。另外,红队,尤其是任何对手测试实用程序或技能都会触发寓言。

[0] https://github.com/adam-s/goldseam/tree/main/.agents/skills

[1] https://github.com/adam-s/HNswered/blob/main/scripts/snapsho...
dataviz1000
·昨天·讨论
你很聪明!

另一家 YC 初创公司走的也是这条路,他们刮擦目标端点,但并没有获得太多的牵引力,后来他们就转向了。

> 我们维护缓存层,避免对网站进行敲击。

这让我想到了这一点。这是另一种避免锤击网站的方法,通过使用极具针对性的请求,在大多数情况下绕过 HTML、DOM 和 JavaScript。
dataviz1000
·昨天·讨论
看看拦截。 [0] 我不需要它,可能它已经过时并且需要更多调整,并且我想摆脱抓取。您可能会发现为任何网站创建类型化 Typescript 代理 API 很有用。

> 通过对每种传输方式(JSON、WebSocket、WebRTC、GraphQL、SSE、HLS、PubSub)进行广度搜索,将它们全部列出,并生成绕过几乎所有机器人保护(包括 Turnstile)的类型化 JSON API,对任何网站进行逆向工程。我没有包含该功能,但它绕过了最先进的 ChatGPT + Turnstile。由自我改进的克劳德代码代理构建,重写自己的指令,直到新的代理不断取得成功。

> 连接到页面后,它会拦截网络流量的每个字节 - 然后主动将页面驱动到仅在交互时触发的表面端点。它输入表单、单击按钮、滚动、触发模式、分页、提交搜索,并遍历多步骤流程,观察每个操作在网络上产生的结果。每个请求都会捕获其方法、标头、有效负载形状和响应,然后按传输(JSON、WebSocket、WebRTC、GraphQL、SSE、HLS、PubSub)进行分类。结果是站点真实 API 表面的完整地图(包括仅存在于单击之后的隐藏端点),转换为您可以卷曲的类型化代理路由。

[0] https://github.com/adam-s/intercept
dataviz1000
·昨天·讨论
另一种看待它的方式;当今天出生的孩子付钱的时候,我早就离开了。你认为我为什么会担心一个我永远不会见到的孩子会陷入我投票产生的债务之中?
dataviz1000
·昨天·讨论
可能是一个问题,但海龟的听力适应的是海洋而不是空气和低频。此外,海浪和风的吹动可能会消除很多噪音。

执行此操作的组织拥有移动应用程序并收集大量数据。如果我使用机器学习,我会从时间序列预测开始,看看是否可以在几个小时内完成窗口。
dataviz1000
·昨天·讨论
这是为儿童教育开发人工智能的工作的最初文化/行为面试。考虑到链接文章中这些无人机的使用方式,这个问题是恰当的。
dataviz1000
·前天·讨论
我们约有 350,000,000 人。当我读到我们花了 10 美元时,我想到我要对其中的 3 美元负责。考虑到我所承担的约 117,550 美元的国债,这并不重要。与我负责的国债每年 3,000 美元的利息相比,这显得微不足道。
dataviz1000
·3天前·讨论
Thank you for the thoughtful reply.

I would make the argument that people would have to weigh the cost of being accessible to the last 2% vs the cost of losing the last 2%.

Anyone who delivers mail to rural farmers 100 years ago would lose money. There are 3 options. 1. If farmers want mail, they can pay the extra costs. 2. Force, by law, mail carriers to deliver at a loss to farmers. 3. Rural Free Delivery, the government taxes everyone and pays for the free delivery to farmers.

Although almost all farmers in the United States and a majority of users on Hacker News would disagree with me, the answer is the government should continue to deliver free mail to rural farmers. The collective benefit outweighs the cost.
dataviz1000
·3天前·讨论
Your comment very much makes my point.
dataviz1000
·4天前·讨论
Former chef here (2 Michelin starred restaurants).

5% is beyond plenty; it is awesome!

> works for 98% of the population, that means that it won’t work for ~150 million people

If I can only cook for 70 people a night, I most likely can't serve the ~150 million people who do not have access to modern browsers. And, those who do have access to those browsers and choose not use those browsers likely will not enjoy my food either. I don't need to make 8 billion people happy for my restaurant to survive. I only need to make ~1000 people happy who keep returning for anniversaries, birthdays, and the pure enjoyment of creativity with food.

I was a yacht chef for years and only needed to make 10 people happy. The technique I used was everyone eats the same thing, crew and guests. Saving money doing my own shopping instead of relying on provisioning companies that would send me food not handled correctly, my monthly expense went from ~$30k to ~$10k when guests are on board a month -- food in St. Barts was flown in from France everyday and expensive, circa 2005, so I could afford to serve the chateaubriand, osso bucco, and everything else to the crew. Therefore, what I wanted to eat everyday which likely was balanced, had lots of fiber, and healthier choices was the thing that everyone ate everyday.

People ask if the guests and owners would tell me what they want to eat everyday. The Mister was CEO of a fortune 500 company and when retired still chairman of the board. This guy was making billion dollar decisions everyday and the Mrs. was very busy also. The last thing they want to do is answer what is for dinner every night. They delegated the decision making to me. I always cooked what I wanted to eat and was always correct.

It is impossible to make everyone happy. Don't try -- it will break you.
dataviz1000
·9天前·讨论
The Shop at the CAC is the nicest co-work space in the world. Sorry I missed it.
dataviz1000
·9天前·讨论
Location: New Orleans, LA, USA

Remote: Yes

Willing to relocate: Yes

Technologies: TypeScript, JavaScript, Python, PHP, React, React Native, Svelte, Express, Bun, Angular, GraphQL, D3.js, visx, Backbone, jQuery, LangChain, Mastra, FastAPI, pandas, scikit-learn, Optuna, Chrome Extension API, Playwright, Electron, Stagehand, browser-use, Web Audio API, WebRTC, WebSockets, PostgreSQL, TimescaleDB, MySQL, MongoDB, Redis, AWS, EC2, S3, Lambda, Docker, Git, LLM agent design, agent evaluation, reinforcement learning, browser automation, MCP

Résumé/CV: Ask via email

Email: [HN username]@gmail.com

For one year I reverse-engineered the major education platforms — Google Docs, Microsoft Office, Nearpod, Kahoot, ect. — so that AI agents can drive them on a teacher's behalf and automate classroom workflows. The work runs in over 10,000 classrooms today.

Building agents against production code you don't control is harder than it sounds. The code is mangled, so first you have to understand how the app was built and then take it apart from the outside. It's reverse engineering, but it depends on knowing how to build the thing in the first place.

The role came with monthly compliance and security training centered on FERPA, so I'm fluent in handling student data responsibly. That's not new ground for me. I spent five years building on Drupal, which the most prestigious learning institutions still run today, and version control and access control were the hard part of every project. Student data is the same problem.

I've been building browser agents and browser automation since 2018, well before it was a category. That's paired with 13 years of building dynamic, data-heavy UIs for web and mobile.

I've also built admin dashboards for a custom legal document management system. And a CRM for email marketing, with a drag-and-drop interface for designing and branding email templates for social campaigns. I've taken several companies from 0 to 1, as a consultant and as a full-time employee, across fintech, streaming, real estate, education, marketing, and media. I've worked at a 130-person AI company and on a 7-person team where I wore every hat. I do my best work on small, fast-moving teams.

https://github.com/adam-s

https://adamsohn.com
dataviz1000
·12天前·讨论
So was Rural Free Delivery. Farmers being able to communicate was a massive boon. There is a channel for farmers called RFD tv. They completely scrubbed the free provided by the government part after private equity bought the tv channel targeting farmers. Then they got Imus in the Morning so farmers listed to Imus, Rush, Hannity, and orielly forgetting the government helps them.
dataviz1000
·12天前·讨论
This is exactly the first thing I thought of considering the influence of Germany in Brazil culture especially in the south like Curitiba.
dataviz1000
·13天前·讨论
Reinforcement learning can solve a Rubik’s Cube. A LLM that hasn’t been trained to solve a Rubik’s Cube can not.
dataviz1000
·14天前·讨论
There is a lot of copying that isn't protected by copyright. It is possible to include what can't be copied that might not fall under copyright in the terms of service contract. Many people not being able to use copyright to prevent copying instead successfully sued based on breach of contract.

Companies should understand that they can protect their IP this way.
dataviz1000
·14天前·讨论
Did you agree to terms of use? Did you have to click a check box that you agree to terms of use before seeing or having access to the items you copied? Click wrap. If in the contract that you agreed to there is language that you agreed to not copy the work, then you likely are in breach of contract. If it is publicly available knowledge probably not breach of contract. I’m not a lawyer of course.
dataviz1000
·16天前·讨论
The largest provider of residential ISP, BrightData, has installed them on smart TVs made by Samsung and LG, millions of them, unknown to the people who purchase and use the TVs.