HN user

vecter

2,921 karma

Feel free to reach out: kev.y.wang [at] gmail

How to run a business: https://www.youtube.com/watch?v=6fQHLK1aIBs

Posts29
Comments821
View on HN
accidentallyquadratic.tumblr.com 6y ago

Elegant fix for quadratic mercurial changegroup application

vecter
1pts0
www.kamcord.com 10y ago

Redfoo from LMFAO helping with our launch. He’s streaming Tinder live

vecter
12pts1
news.ycombinator.com 10y ago

Tell HN: Please don't add noise to the conversation

vecter
71pts32
www.kamcord.com 11y ago

Kamcord (YC S12) launches live streaming for mobile games

vecter
12pts0
www.wsj.com 11y ago

Kamcord (YC S12) raises $15M Series B led by GungHo

vecter
35pts2
www.youtube.com 12y ago

Kamcord (YC S12) - Fundraising Part 2 [video]

vecter
4pts0
www.youtube.com 12y ago

Kamcord (YC S12) - Fundraising [video]

vecter
4pts0
www.youtube.com 13y ago

Kamcord (YC S12) - Networking and early traction

vecter
5pts2
www.youtube.com 13y ago

Kamcord (YC S12) - How to get traction

vecter
4pts0
www.youtube.com 13y ago

The Kamcord Story - Getting into Y Combinator [video]

vecter
12pts1
www.youtube.com 13y ago

Kamcord (YC S12) shares its startup story: finding co-founders

vecter
7pts0
www.theatlanticwire.com 13y ago

Fertilizer plant explodes near Waco, Texas

vecter
35pts24
techcrunch.com 13y ago

Kamcord (YC S12) Helps Record And Share Those Epic Mobile Gaming Moments

vecter
43pts12
www.youtube.com 14y ago

The Most Astounding Fact

vecter
2pts0
online.wsj.com 14y ago

When gaming is good for you [WSJ]

vecter
3pts0
all-that-is-interesting.com 14y ago

A View of the US-Mexican Border

vecter
1pts0
www.nytimes.com 14y ago

Protest on Web Uses Shutdown to Take On Two Piracy Bills

vecter
18pts1
startuprage.com 14y ago

Startup Rage Comics

vecter
11pts1
www.bloomberg.com 14y ago

Princeton Brews Trouble for Us 1 Percenters: Michael Lewis

vecter
1pts0
howtonode.org 14y ago

Adding middleware to node.js with Connect

vecter
1pts0
www.slate.com 15y ago

Bicyclists beat Jet Blue flight from Burbank to Long Beach

vecter
3pts0
www.dailymail.co.uk 15y ago

Lost tribe of 200 found in Amazon spotted by satellite

vecter
2pts1
en.wikipedia.org 15y ago

Keynesian beauty contest

vecter
81pts27
www.nytimes.com 15y ago

Watching the Murder of an Innocent Man

vecter
1pts0
www.nytimes.com 15y ago

Medal of Honor Given to Living Soldier

vecter
3pts2
www.johndcook.com 15y ago

Daily math/regex/tex facts via Twitter

vecter
2pts0
packetlife.net 17y ago

FAQ: Being a network admin in Iraq

vecter
23pts11
bits.blogs.nytimes.com 17y ago

FCC approves first Android phone for use in US

vecter
3pts0
news.ycombinator.com 17y ago

Ask HN: Web Programming Platforms

vecter
2pts5
GPT-5.6 13 days ago

I think all of Luna's are bad. The only decent one is sol @ xhigh. Even sol @ max is weird. Sol @ high and @ medium are ok, and every other single one across every model is bad.

Cursor 3 4 months ago

I assume they meant that "Claude Code is so good..." and that they cancelled Currsor and just use CC + VSCode.

That's all factually incorrect. The reason that HFT is valuable to society is exactly because it trades at the microsecond scale. That's how it provides the most liquidity.

Flash crash was transient and had no impact long term value. Neither does volatility.

Google Antigravity 8 months ago

This is different. AI is an existential threat to Google. I've almost stopped using Google entirely since ChatGPT came out. Why search for a list of webpages which might have the answer to your question and then manually read them one at a time when I can instead just ask an AI to tell me the answer?

If Google doesn't adapt, they could easily be dead in a decade.

Google Antigravity 8 months ago

This kind of cynicism is wild to me. Of course most AI products (and products in general) are for end users. Especially for a company like Google--they need to do everything they can to win the AI wars, and that means winning adoption for their AI models.

When they hit a jack pot. They’d document the mutations, throw the engineered strain out and start blasting them with UV. Afterwards you just scan for the same mutations and voila, now it’s classical strain enhancement!

Instead of starting with a fresh gene pool and blasting it with UV and praying that they get the same jackpot mutations, why didn't they start with an entire population with that desirable jackpot mutation and those blast cells with UV and then select for the ones that survived?

Ah yes. That’s the one thing I need to teach everyone when they’re new to Django. I was wondering if there were other quirks to the ORM beyond avoiding N+1 queries.

The dark forest is such an obviously false theory to me. Its axioms are:

1. Survival is the primary goal of all civilizations.

Agree.

2. Resources in the universe are finite.

True in the theoretical sense, but false in the practical sense.

3. Civilizations cannot be certain of others’ intentions.

Not obviously true or false.

4. Communication is dangerous.

This is such a strong axiom and is almost certainly false.

Its conclusion from applying the four axioms is that preemptive annihilation is the rational strategy.

As an alien civilization, if your strategy for survival in the cosmos is to "immediately and totally annihilate any sign of life", then that is almost a surely losing strategy. If intelligent life is prevalent, and the cost of annihilating a species is so low that they can just do it willy-nilly, then all it takes is one surviving colony to use the same superweapon against you and you're finished. Oh, you'd also have to be annihilating species left and right across the galaxy without revealing your location. And in the worst case, you've just pissed off all the known alien entities in your galactic neighborhood. Good luck to you.

It makes for fun writing, but I don't understand how anyone can take it seriously.

How quickly would the local population of mosquitos adapt to the MosquitoDunks, such that within a few generations, the only surviving ones would be the ones that are unaffected by the dunks? Or is that not a real concern?

It's very common for tech companies to go public without being profitable. As long as their growth is good and they have a reasonable story for how they will achieve profitability, then it typically makes sense. Of course every company is different and not all will reach their profitability goals post-IPO, but in many cases, it wouldn't make sense to wait for profitability before going public.

I've noticed that since I've started using ChatGPT, I've almost entirely stopped using Google (except for the rare case where I need a specific website but don't remember the URL). In addition to a bunch of technical questions related to my work, my ChatGPT chat log has the most mundane things like:

  - What is platos frios
  - Can you download Netflix videos to your local device
  - Who composed the Top Gun theme
  - Who have been the most successful American Idol winners
  - If I check-in the day before a United Airlines flight, can I still buy additional checked bags when I go to the airport
  - If I'm buying a Schwinn IC4 indoor spin bike, do I need a floormat for it also
  - What is pisco 
  - In the US, what is the format for EINs?
  - Is it bad to use tap water in your humidifier?
  - Which NBA players are on supermax contracts
  - What are some of the best steakhouses in Manhattan?
  - How much and how long does it take to procure a DUNS number?
  - In terms of real estate, what is historic tax credit development
LLMs give me the answers I want immediately. Before, I would use Google basically as a proxy to find websites that I'd then have to sift through to find the answers to these questions. It was another layer of indirection. Now that I can have an LLM just tell me the answer (you still need to approach it with a skeptical eye, since it can certainly get some things wrong), I don't need to "search" the search results pages themselves and read multiple articles and blog posts to hopefully find the answer to my question.

Wait, the US overall is ranked 18th out of approximately 50 countries (on the first chart for Math + Science). Obviously some American demographics are doing better, but across all demographics, the US scores are not excellent and not near the top.

The point has nothing to do with Elon. It's just the correct way to analyze revenue graphs due to seasonality. Whether or not X is "collapsing" isn't obvious from the graphs either, and I made no such claim. We'd need to know other things that aren't public, and it's probably too early to tell anyway. But it's incorrect to say that revenue is growing. It's down quarterly YoY, which is the only real meaningful way to look at it.