low_tech_punk

It is decoupled from drivetrain. So, without torque sensor, how does it know when the rider wants to speed up vs. slow down?

Maybe Google is adding compute infra. I noticed today that the API has 500 tok/s throughput. It's quite compelling now.

> Three things matter today: Model. Data. Harness.

*knee jerk*

It's a classic scam. It is a 3.0 USB 7-Port Hub, not a 7-port USB 3.0 Hub. The number 3.0 is the model number of the hub, not the protocol.

According to the stats in this article https://www.ycombinator.com/investors, we can estimate 98.5% of the founders are not in OpenAI or Anthropic.

Is there a selection bias?

SELECT * FROM yc_founders WHERE employer IN ('OpenAI', 'Anthropic');

If there are 7k founders [1], the graph only shows 1.5% of the people from YC.

[1]: https://www.ycombinator.com/investors

Interestingly, I found the original nano banana also has the best latency/quality trade-off that new versions can't beat. This might be domain/prompt specific though. I wonder if there is some truth in the saying that something is either new or improved by never "new and improved".

Agree that good tool should be invisible. We want essential not accidental complexity in how the tool works.

But good tool should also be fun and makes us feel productive. We can't neglect the emotional aspects of designs. And at the end of the day, if a less productive tool makes us much happier, we will less likely be burned out. That is productivity in the long term.

Maybe only AI Agent doesn't care about the emotional aspects fro tool use, but that's a separate topic.

Also, it's not about steep learning curves. We want low floor, high ceiling tools. Some of the examples the author used are either low floor low ceiling, or high floor high ceiling. Neither is ideal.

(1) The original zig code was probably heavily AI coded with lower quality, hence the bag. There is a chance that a full rewrite in zig might do as well but we will never find out.

(2) The rewrite itself is a massively successful marketing move. It shows what Claude code can do and how little it costs compared to human engineering. But the question remains whether someone else, not knowing zig, rust, and TypeScript can pull this off.

If you click on the "create link" button multiple times, the menu would pile up vertically.

I believe Wardgard has zero external dependencies. The three packages it depends on are all utils written by the author himself.

https://code.haverbeke.berlin/wordgard/wordgard/src/branch/m...

all the emphasis on cyber security. feels like a reaction to anthropic, not a real next generation.

When mixing languages, why does the English have Chinese accent and Chinese have English accent? Is it a feature or bug?

I hope this puts more pressure to extend the software life-span.

Saw the DOOM raycast demo at bottom of page.

Can't wait for someone to build a DOOM that runs entirely on GPU!

When I visit https://www.molt.bot/ with Edge browser, there is a bloody red screen screaming malware. What's wrong with the name?

User: Hey AI, turn off my Mac

AI: (after 10 minutes of deep reasoning) Ah! I found the solution. I need to cause a power surge in the grid to power off your device.

Google's ML team really nailed it. There are lots hand/head/eye tracking demos made with mediapipe.

I recommend checking out The Poet Engineer: https://x.com/poetengineer__

No AI is appealing but there is the cliff problem. If there is one small thing the mini language can't handle, the user would have no chance solving it themselves. They might as well start with an LLM solution first.

One workaround is that when there is syntax error, let user optionally switch to LLM?

Is it possible that the coffee drinkers have more social interaction with the barista and others? It's unclear from the paper if they eliminated the confounding factors around coffee drinking.

I believe the entire web app was a mod on top of monaco (vscode)? Really great hack!

A slingshot, A blind fold, A pocket -- Steve Jobs never said that.

Everyone asks, what does the fox say, no one cares how the fox feels. Thank you Mozilla, now we know the fox feels like open source.

IMHO, parallel tasks across multiple repos is not as useful as parallel tasks in one repo.

Not all is lost: AI can still be acronym for Apple Intelligence.

I had a similar thought, feature not bug.

The nature of programming might have to shift to embrace the material property of LLM. It could become a more interpretative, social, and discovery-based activity. Maybe that's what "vibe coding" would eventually become.

Most programmers don't understand the low level assembly or machine code. High level language becomes the layer where human comprehension and collaboration happens.

LLM is pushing that layer towards natural language and spec-driven development. The only *big* difference is that high level programming languages are still deterministic but natural language is not.

I'm guessing we've reached an irreducible point where the amount of information needed specify the behavior of a program is nearly optimally represented in programming languages after decades of evolution. More abstraction into the natural language realm would make it lossy. And less abstraction down to the low level code would make it verbose.

This piece reminds me of another article musing on the necessity of manual memory: https://numinous.productions/ttft/#how-important-is-memory.

That article articulated the reason slightly differently, arguing you need to hold multiple concepts in your head at the same time in order to develop original ideas.

Still, I'm not sure you have to remember everything, but I agree you have to remember the foundational things at the right abstraction layer, upon which you are trying to synthesize something new.

maxwell's demon peeking from the dark side

Nice write-up!