Steven Pu

vibe-coding | co-founder | director @ Monitor Deloitte | founder @ IoT & health startups in China | EE @Stanford

[Steven Pu @reedvoid]

Yup it's Python's turn,

https://t.co/f96MyuGKFI

[Steven Pu @reedvoid]

Uh oh, is it going to be Python's turn soon?

[Steven Pu @reedvoid]

Uh oh, is it going to be Python's turn soon?

[Jay Rogers 👨‍💻 @jaydrogers]

Ruby’s turn 😅

Remember the GitLab bug? Well now it moved upstream into Ruby.

Multiple 10.0 CRITICAL exploits.

Patch now 🚨

Happy Friday 🤠

https://t.co/4MbqEJaYzj

[Steven Pu @reedvoid]

@ericbahn Bad time to be Eric's enemy.

[Steven Pu @reedvoid]

@ericbahn There are several wars going on, global energy crisis, the Carry Trade might unwind, midterm elections, etc.

[Steven Pu @reedvoid]

@MahanEsfahani I see their mistake, should’ve replaced (first name) with your name.

[Steven Pu @reedvoid]

What will force the gov to regulate AI? Prob not the obvious candidates...

❌ Rogue agents hacking companies
❌ User data being stolen
❌ OSS supply chain attacks
✅ IP infringement from reverse-engineering

[Steven Pu @reedvoid]

I'm building a blog site using PHP, vibe-coding it with LiteLLM, and then registering my SSL certificate with eMudhra.

High hopes everything will turn out just OK.

[Steven Pu @reedvoid]

@kylebrussell I liked Andromeda, not sure what all the hate was about.

I also liked Anthem, but not enough time was given for them to fix it.

Veilguard is genuinely horrible.

[Steven Pu @reedvoid]

@bioware Sad.

[Steven Pu @reedvoid]

@ericbahn Same, dying is my goal in life.

[Steven Pu @reedvoid]

Nvidia: Silicon is Forever. ❤️

[RTVisual @RT_Visual_on_X]

Chinese bride gifts her partner a flagship GPU at wedding — he breaks down in tears

She handed him an ASUS ROG Astral RTX 5090 that costs around $12,000

[Steven Pu @reedvoid]

Flying cars, finally.

[Steven Pu @reedvoid]

@Alfred_Lin Agree on the lean startup skepticism. I've found that user product expectations keeps rising rapidly over the years.

This idea of a lean MVP just never worked well in my experience, since I couldn't collect feedback from users who didn't tolerate unpolished prototypes.

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[Steven Pu @reedvoid]

Was there a Claude Code update that stops auto mode from editing any local permission settings? This is crazy, the workflow gets stopped constantly.

Why is auto mode being crippled?

[Rui Ma @ruima]

I was talking with a friend today about how tough the job market is for tech, and how even if you do have a job, it's so unstable because things are changing so fast.

I told them that even though I technically have my own business and I'm supposed to have "visibility" into how I'm doing, do I really? No. I just assume the business will change every few months and I don't get too fussed when it does, and trust me it has been changing quite consistently

This is why it's obvious to me that, more than a set of skills or a knowledge base, you really have to teach your kids how to adapt to new situations, quickly figure out opportunities, and take risks

[Steven Pu @reedvoid]

@ruima @garrytan This rings more true with each passing year. 💯

[Steven Pu @reedvoid]

Banger

https://t.co/Exvv8pkd7l

[Massachusetts Institute of Technology (MIT) @MIT]

We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: https://t.co/ODkbdIsoHw

[Steven Pu @reedvoid]

@evantana @SLAClab Do they have antimatter traps at SLAC?