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allenleee

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投稿

AirPosture – AirPods as AI posture coach (Open source)

airposture.github.io
2 ポイント·投稿者 allenleee·17 日前·0 コメント

Show HN: AirPosture – Open-Source Posture Coach Using AirPods

github.com
4 ポイント·投稿者 allenleee·18 日前·1 コメント

FPGA Development Deep Dive

modretro.com
2 ポイント·投稿者 allenleee·24 日前·0 コメント

Looking for Backdoors in Jane Street LLMs

alignmentforum.org
3 ポイント·投稿者 allenleee·先月·0 コメント

The West Is Losing Taiwan

allenv0.github.io
2 ポイント·投稿者 allenleee·先月·4 コメント

Measuring LLMs' ability to develop exploits

red.anthropic.com
3 ポイント·投稿者 allenleee·2 か月前·0 コメント

From Open Source Software to Open Source Strategy

p3institute.substack.com
1 ポイント·投稿者 allenleee·2 か月前·0 コメント

RTX 5090 and M4 MacBook Air: Can It Game?

scottjg.com
699 ポイント·投稿者 allenleee·2 か月前·180 コメント

Test your interpretability techniques by de-censoring Chinese models

alignmentforum.org
2 ポイント·投稿者 allenleee·3 か月前·0 コメント

The state of AI safety in four fake graphs

lesswrong.com
3 ポイント·投稿者 allenleee·3 か月前·0 コメント

Modeling the AGI Economy

continuations.com
2 ポイント·投稿者 allenleee·4 か月前·0 コメント

Test your interpretability techniques by de-censoring Chinese models

lesswrong.com
2 ポイント·投稿者 allenleee·5 か月前·0 コメント

Ask HN: What developer tool do you wish existed in 2026?

22 ポイント·投稿者 allenleee·7 か月前·24 コメント

YC's Formula for Startup Manufacturing

investing101.substack.com
4 ポイント·投稿者 allenleee·8 か月前·0 コメント

Tides vs. Waves

allenleee.com
1 ポイント·投稿者 allenleee·8 か月前·0 コメント

The New Ivy League

opencv.md
2 ポイント·投稿者 allenleee·8 か月前·0 コメント

Understanding multi GPU Parallelism paradigms

datta0.github.io
2 ポイント·投稿者 allenleee·8 か月前·0 コメント

Anthropic's Pilot Sabotage Risk Report

alignment.anthropic.com
3 ポイント·投稿者 allenleee·8 か月前·0 コメント

A Brief History of Terminal Emulators

charm.land
4 ポイント·投稿者 allenleee·8 か月前·0 コメント

Emma – a programming language specifically designed to accelerate AI

emma-lang.org
3 ポイント·投稿者 allenleee·8 か月前·0 コメント

コメント

allenleee
·17 日前·議論
[flagged]
allenleee
·先月·議論
>The US is no longer able to understand any political interaction on any level except that of performance

Could you elaborate a bit more?
allenleee
·先月·議論
[dead]
allenleee
·7 か月前·議論
Love this one! My immediate thought for a build: just a camera with on-device VLMs and LLMs. You could point it at a normal whiteboard (or a wall of sticky notes), and the model could interpret the handwriting, track the tokens, and sync the state digitally in real-time without needing any special "smart" hardware.

It feels like a much more flexible approach than an expensive proprietary whiteboard. Would a camera-only setup cover your use case?
allenleee
·7 か月前·議論
have you tried this one: https://github.com/usebruno/bruno
allenleee
·7 か月前·議論
+1!
allenleee
·7 か月前·議論
Thx!
allenleee
·7 か月前·議論
https://www.airposture.pro

an iOS app that unlocks the hidden sensors in your AirPods, turning them into a real-time AI posture coach for work and workouts on iOS.
allenleee
·8 か月前·議論
I mean both, and in AI today, they’re deeply intertwined. The “capital game” isn’t just about money—it’s about access to compute, talent, and time. Whoever has the resources can experiment, iterate, and potentially uncover the next big architecture. That financial power naturally translates into influence—control over the market, narrative, and ecosystem. In practice, the investment game and the market ruler’s game often become the same thing.
allenleee
·8 か月前·議論
With all due respect, AI is ultimately a capital game. World models aren’t where real B2B customer revenue comes from—at least compared to today’s LLMs; they’re mainly a better story for raising huge amounts of private capital. Hopefully they figure out how to build the next-gen AI architecture along the way.
allenleee
·10 か月前·議論
I'm working on an iOS app that unlocks the hidden sensors in your AirPods, turning them into a real-time AI posture coach for work and workouts on iOS and macOS.

Download: https://www.airposture.pro
allenleee
·10 か月前·議論
Really appreciate you saying that! Out of curiosity, what’s been the most helpful part for you so far?
allenleee
·10 か月前·議論
Thank you :)!
allenleee
·7 年前·議論
These are questions Michael Seibel mentioned that he likes to ask startups as part of his 2018 “Building Product” Startup School presentation:

Problem

What problem are you solving? What problem will be solved at the end of what you are doing? What do we expect the result to be? Can you state the problem clearly in two sentences? Have you experienced the problem yourself? Can you define this problem narrowly? Who can you help first? What can we address immediately? How do we get the first indication this thing is working? Is the problem solveable?

Customer

Who is your customer? Who is the ideal first customer? How will they know if your product has solved the problem? How often (frequency) does your user have the problem? Who is getting the most value out of your product? How intense is the problem? Are they willing to pay? How easy is it for your customer to find your product? Which customers should you run away from?

Product

Does your product actually solve the problem? Be truthful. How and why not? Which customers should you go after first?

How do you find people who are willing to use your “bad” first versions of your product? Who are the most desperate customers as how do you talk to them first? Whose business is going to go out of business without using you?

Are you discounting or starting with a super low price? Are you consider this approach? If so, why?

Performance

What are you using to measure how users are interacting with your product? What 5-10 metrics are you measuring to understand how your product functions? Why those metrics? When you build a new product or feature, what is the metric that will improve because of that feature/product? What number do you track to show how well your company is doing? What is your top level KPI (revenue, usage)? What are the underlying metrics that contribute to achieving your top level KPI (new users, retention of users, content created => DAUs at Social Cam)? Which of these metrics are you trying to move this development cycle?

Product Development

How long is your product dev cycle? What is causing it to be that long? Who is writing down notes at your product dev meeting? Which category does each of your brainstormed ideas fit: New features/interactions on existing ones; bug fixes/other maintenance; A/B tests? How easy/medium/hard are they to do? How can you restate the hard ideas (disaggregate idea into smaller ideas)? What parts of hard ideas are useless or hard? Are there other options? Which hard idea will improve act the KPI the most? Which medium? Which easy? What is the spec for the product/feature we want to build?

Problem

What problem are you solving? What problem will be solved at the end of what you are doing? What do we expect the result to be? Can you state the problem clearly in two sentences? Have you experienced the problem yourself? Can you define this problem narrowly? Who can you help first? What can we address immediately? How do we get the first indication this thing is working? Is the problem solveable?

Customer

Who is your customer? Who is the ideal first customer? How will they know if your product has solved the problem? How often (frequency) does your user have the problem? Who is getting the most value out of your product? How intense is the problem? Are they willing to pay? How easy is it for your customer to find your product? Which customers should you run away from?

Product

Does your product actually solve the problem? Be truthful. How and why not? Which customers should you go after first?

How do you find people who are willing to use your “bad” first versions of your product? Who are the most desperate customers as how do you talk to them first? Whose business is going to go out of business without using you?

Are you discounting or starting with a super low price? Are you consider this approach? If so, why?

Performance

What are you using to measure how users are interacting with your product? What 5-10 metrics are you measuring to understand how your product functions? Why those metrics? When you build a new product or feature, what is the metric that will improve because of that feature/product? What number do you track to show how well your company is doing? What is your top level KPI (revenue, usage)? What are the underlying metrics that contribute to achieving your top level KPI (new users, retention of users, content created => DAUs at Social Cam)? Which of these metrics are you trying to move this development cycle?

Product Development

How long is your product dev cycle? What is causing it to be that long? Who is writing down notes at your product dev meeting? Which category does each of your brainstormed ideas fit: New features/interactions on existing ones; bug fixes/other maintenance; A/B tests? How easy/medium/hard are they to do? How can you restate the hard ideas (disaggregate idea into smaller ideas)? What parts of hard ideas are useless or hard? Are there other options? Which hard idea will improve act the KPI the most? Which medium? Which easy? What is the spec for the product/feature we want to build?

Doc link: https://docs.google.com/document/d/1ungItAgriaQk_lDI4aEJNigm...
allenleee
·9 年前·議論
Hacker News is my new Facebook.