Hacker News: yzh

New comment by yzh in "MyAI101: Foundational AI literacy for students, teachers and curious adults"

yzh — Fri, 05 Sep 2025 15:17:11 +0000

Hi HN! We built this to make "why AI works" feel tangible without drowning in math; feedback welcome!

- What it is

We built a structured AI-literacy platform to unpack core AI concepts with: bite-sized lessons + post-lesson quizzes, dozens of in-browser visualizers (neural nets, tokenizers, CNN, GPT-2, etc.), audio and curated videos, and daily AI news feed.

- Why we built it

Most AI courses right now felt either too math-heavy, too surface-leveled, too narrow (covers only a tiny side of AI), or just too expensive. We wanted a single place that balances rigor with intuition - accessible enough for high schoolers (and possibly younger), and structured enough to give adults a solid foundation.

- Who it's for

Anyone curious about AI (what it is, how it works, why it works, and when it doesn't), and in particular high school and college students who should really learn AI fundamentals like they do math and English, teachers looking for classroom-ready materials, adults who find themselves lost in jargons and just want to make sense of it all.

- What to try

Lessons + Thinking Corner & Teacher Notes + audio clip - start with Unit 1's first 5 lessons (after sign up, free); go through the slides, check out the Thinking Corner/Teacher Notes on each slide for additional insights, and pop up the accompanying audio clip to reinforce the slide material.

AI visualizers - GPT-2 Explorer, Tokenizer Playground, Neural Network Visualizer (free). Each visualizer includes sources and a brief 'how it works' section.

Assessments - take the short check-for-understanding at the end of each lesson.

Curated videos (YouTube) - browse through a library of handpicked short videos to reinforce concepts.

AI news feed - finish the day with a 2-minute skim of today's AI headlines; it uses AI to retrieve and rank the news with source-links.

- How we built it

React front-end + Python/Flask services (parts scaffolded with Lovable). Slides via Gamma. Visualizers are a mix of in-house and open-source (credited). Audio clips are generated using NotebookLM with context.

- Limitations

Balancing layman-friendly explanations with technical accuracy was not easy - corrections are welcome.

- Roadmap / feedback

Did we get anything wrong? Where does the difficulty curve feel off? What new content or features should we add? Our current plan is to add more lessons and visualizers. We are also exploring whether to add more practical lessons like building agents, vibe-coding app development, etc. Ideas and critiques are very welcome. Thanks!

MyAI101: Foundational AI literacy for students, teachers and curious adults

yzh — Fri, 05 Sep 2025 15:16:42 +0000

Article URL: https://myai101.com

Comments URL: https://news.ycombinator.com/item?id=45139555

Points: 5

# Comments: 3

New comment by yzh in "Groq runs Mixtral 8x7B-32k with 500 T/s"

yzh — Mon, 19 Feb 2024 18:26:03 +0000

Really impressive work! I wonder how easy would it be to support (a future open source version of) SORA using Groq's design. Will there be a Video Processing Unit (VPU)?

New comment by yzh in "Polylabs: AI-powered 3D assets you can use in mobile games"

yzh — Mon, 05 Feb 2024 10:51:07 +0000

We have created a 3D asset marketplace that contains a set of (expanding) categories of AI generated 3D base meshes that are mobile compatible with free AI-texturing. You can change polycount and also turn mesh into voxels, pretty cool for putting together assets for Roblox and Minecraft type of games. Go check it out and we welcome any feedback!

Polylabs: AI-powered 3D assets you can use in mobile games

yzh — Mon, 05 Feb 2024 10:51:07 +0000

Article URL: https://dashboard.polylabs.ai/sign-in?redirect_url=https%3A%2F%2Fdashboard.polylabs.ai%2F

Comments URL: https://news.ycombinator.com/item?id=39259686

Points: 1

# Comments: 1

Speedup Megatron-LM from 10% to 30% with Zero Bubble Pipeline Parallelism

yzh — Wed, 17 Jan 2024 03:48:03 +0000

Article URL: https://github.com/sail-sg/zero-bubble-pipeline-parallelism

Comments URL: https://news.ycombinator.com/item?id=39023022

Points: 4

# Comments: 2

New comment by yzh in "Are Open-Source Large Language Models Catching Up?"

yzh — Fri, 01 Dec 2023 15:05:35 +0000

AFAIK, model behind yiyan is Baidu's ERNIE. Yi-34B (and Yi model family) comes from another startup created by Kai-fu Lee earlier this year: 01.ai.

New comment by yzh in "Optimization Techniques for GPU Programming [pdf]"

yzh — Wed, 09 Aug 2023 22:36:35 +0000

I would recommend the course from Oxford (https://people.maths.ox.ac.uk/gilesm/cuda/). Also explore the tutorial section of cutlass (https://github.com/NVIDIA/cutlass/blob/main/media/docs/cute/...) if you want to learn more about high performance gemm. OpenAI triton is another good resource if you want to write relatively performant cuda kernels using python for deep learning (https://openai.com/research/triton)

New comment by yzh in "BindDiffusion: One Diffusion Model to Bind Them All"

yzh — Tue, 16 May 2023 07:59:47 +0000

We have built BindDiffusion, one diffusion model to bind multi-modal embeddings. It leverages a pre-trained diffusion model to consume conditions from diverse or even mixed modalities. This design allows many novel applications, such as audio-to-image, without any additional training. This repo is still under development. Please stay tuned!

BindDiffusion: One Diffusion Model to Bind Them All

yzh — Tue, 16 May 2023 07:59:47 +0000

Article URL: https://github.com/sail-sg/BindDiffusion

Comments URL: https://news.ycombinator.com/item?id=35958858

Points: 3

# Comments: 1

HloEnv: An environment based on XLA for DL compiler optimization research

yzh — Wed, 09 Nov 2022 09:10:06 +0000

Article URL: https://github.com/sail-sg/hloenv

Comments URL: https://news.ycombinator.com/item?id=33528994

Points: 2

# Comments: 0

New comment by yzh in "AI Research Trends:Sort ArXiv papers by its popularity on social media sites"

yzh — Fri, 24 Dec 2021 18:29:08 +0000

I agree that some people would prefer to see this as a weekly popup, but some people have the habit of taking a look at what is happening every day :-)

New comment by yzh in "AI Research Trends:Sort ArXiv papers by its popularity on social media sites"

yzh — Fri, 24 Dec 2021 18:27:32 +0000

Since it uses a 10-day window to accumulate the scores.

AI Research Trends:Sort ArXiv papers by its popularity on social media sites

yzh — Fri, 24 Dec 2021 08:45:58 +0000

Article URL: https://mavenlin.github.io/ai_research_trends/

Comments URL: https://news.ycombinator.com/item?id=29671677

Points: 52

# Comments: 10

New comment by yzh in "Google adds a guitar tuner to Search"

yzh — Mon, 11 Oct 2021 05:55:23 +0000

Now I can tell if my "claimed-to-have-perfect-pitch" friend is lying anywhere.

VOLO: Vision Outlooker for Visual Recognition

yzh — Fri, 25 Jun 2021 03:18:21 +0000

Article URL: https://github.com/sail-sg/volo

Comments URL: https://news.ycombinator.com/item?id=27626788

Points: 4

# Comments: 0

New comment by yzh in "Circle – A C++ compiler with compile-time imperative metaprogramming"

yzh — Wed, 06 May 2020 10:34:16 +0000

Sean is a very good engineer. Another of his work is moderngpu, a GPU primitive library. It has the same level of doc/tutorials. I really like one thing he wrote: Software is an asset, code a liability. On good days I'd add 200 or 300 lines to this repository. On great days I'd subtract 500.

Turbo_transformers: Fast Transformer Inference on CPU and GPU

yzh — Fri, 24 Apr 2020 07:19:32 +0000

Article URL: https://github.com/Tencent/TurboTransformers

Comments URL: https://news.ycombinator.com/item?id=22965483

Points: 2

# Comments: 0

Jittor: A Just-in-time(JIT) deep learning framework from Tsinghua University

yzh — Fri, 20 Mar 2020 09:25:40 +0000

Article URL: https://github.com/Jittor/jittor

Comments URL: https://news.ycombinator.com/item?id=22636210

Points: 2

# Comments: 0

New comment by yzh in "Show HN: Thinc, a new deep learning library by the makers of spaCy and FastAPI"

yzh — Wed, 29 Jan 2020 03:19:37 +0000

But Keras does not support PyTorch or MXNet. I think the design of Model, Block, and Layer like this is very intuitive and shared among several frameworks. I wish it could have multi-GPU/multi-node training capability (i.e. support horovod or gloo).