Ethan陪你读英文

reinvent myself

[Ethan陪你读英文 @EthanGmat]

"Every second wasted is a moment lost forever."

[Ethan陪你读英文 @EthanGmat]

@GrettaGao 你变了

[Ethan陪你读英文 @EthanGmat]

年纪大了，精力已经大不如从前，忙完一天的工作之后，连娱乐的精力都没有了。

[Ethan陪你读英文 @EthanGmat]

神经病😂

[Ethan陪你读英文 @EthanGmat]

awesome

[kepano @kepano]

I can't go back to the regular YouTube UI after this 😅

Obsidian Reader now makes the transcript interactive so you can scrub, highlight, auto-scroll. It feels so nice.

[Andrej Karpathy @karpathy]

LLM Knowledge Bases

Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:

Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.

IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).

Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.

Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.

Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.

Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.

Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.

TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

[Ethan陪你读英文 @EthanGmat]

Do I have to reset my timeline in the tab For you each time when I open the app? It’s so annoying. @nikitabier

[Andrej Karpathy @karpathy]

- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol

The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.

[kepano @kepano]

Defuddle now returns Youtube transcripts!

Paste a YouTube link into defuddle.md to get a markdown transcript with timestamps, chapters, and pretty good diarization!

...or if you just want to read it, try the new Reader mode in Obsidian Web Clipper powered by Defuddle.

[Ethan陪你读英文 @EthanGmat]

解剖小龍蝦 — 以 OpenClaw 為例介紹 AI Agent 的運作原理 https://t.co/a5yy45oxzu via @YouTube

讲得清晰易懂，推荐。

[Ethan陪你读英文 @EthanGmat]

The agent-shaped world https://t.co/zc3euW3Rzt

[Science girl @sciencegirl]

Home made games console

[qw @QwQiao]

for the past 2 years ive been deeply paranoid about my kids’ future in the post-agi era. things im increasingly convinced of

-> ai will be smarter than the average human before my kids enter adulthood, possibly well before.

-> therefore agency and taste r the only things that matter (old adage but obv true).

-> the current school system which emphasizes compliance and repetition is already obsolete.

-> so what do i need to do as a parent?

1. have them use ai as much as possible.
2. give them as much freedom as possible (agency).
3. expose them to as many things as possible so they know early on in life what they r naturally good at and interested in (taste).
4. give them a lot of time and love.

that's it, 2-4 probably applied before ai, but certainly more-so in the next 10-20 yrs.

[Andrej Karpathy @karpathy]

How to become expert at thing:
1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise)
2 teach/summarize everything you learn in your own words
3 only compare yourself to younger you, never to others

[Nathan Lambert @natolambert]

Software is becoming free, good decision making in research, design, and product has never been so valuable. I hope people realize this and work less, spend more time cultivating peace, so the brain can do its best -- let the agents do most of the hard work.

[Ethan陪你读英文 @EthanGmat]

ideas are worthless without action.

[Ethan陪你读英文 @EthanGmat]

2026年的目标是，
做一些让自己骄傲的事情，改善与自己的关系，
善待身边的亲人和朋友，改善与他人的关系。

[sysls @systematicls]

https://t.co/FQe5bCBqW1

[Andrej Karpathy @karpathy]

Agency > Intelligence

I had this intuitively wrong for decades, I think due to a pervasive cultural veneration of intelligence, various entertainment/media, obsession with IQ etc. Agency is significantly more powerful and significantly more scarce. Are you hiring for agency? Are we educating for agency? Are you acting as if you had 10X agency?

Grok explanation is ~close:

“Agency, as a personality trait, refers to an individual's capacity to take initiative, make decisions, and exert control over their actions and environment. It’s about being proactive rather than reactive—someone with high agency doesn’t just let life happen to them; they shape it. Think of it as a blend of self-efficacy, determination, and a sense of ownership over one’s path.

People with strong agency tend to set goals and pursue them with confidence, even in the face of obstacles. They’re the type to say, “I’ll figure it out,” and then actually do it. On the flip side, someone low in agency might feel more like a passenger in their own life, waiting for external forces—like luck, other people, or circumstances—to dictate what happens next.

It’s not quite the same as assertiveness or ambition, though it can overlap. Agency is quieter, more internal—it’s the belief that you *can* act, paired with the will to follow through. Psychologists often tie it to concepts like locus of control: high-agency folks lean toward an internal locus, feeling they steer their fate, while low-agency folks might lean external, seeing life as something that happens *to* them.”

[Ethan陪你读英文 @EthanGmat]

How To Explain Things Real Good (Stanford mini-talk) https://t.co/WcQCJi9iFE via @YouTube amazing talk!

[Ethan陪你读英文 @EthanGmat]

你无法跟一个没有孩子的人解释有孩子是一种什么体验。