Michael

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Michael

Michael

@mgrczyk

Train bigger models, build more housing, have more babies Big tent transhumanist @AnthropicAI

San Francisco, CA Katılım Ocak 2017
481 Takip Edilen1.1K Takipçiler
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Michael
Michael@mgrczyk·
I'm not maximally truth seeking, sometimes I do morally correct things instead
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Michael
Michael@mgrczyk·
@NateSilver538 At bigger tech companies, smaller diffs are often preferable especially if the author is out of his/her depth and doesn't want to risk breaking something. So favoring a smaller change is often better in other settings
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Nate Silver
Nate Silver@NateSilver538·
I find this pretty common. Opus is like "should I take a shortcut or be more rigorous?" and recommends taking a shortcut when the only cost to being more rigorous is that it has to write a few extra lines of code.
Nate Silver tweet media
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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
Who should I interview on my podcast? Open to more AI, but also to random history/econ/etc professors that I might not have heard of before.
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Michael
Michael@mgrczyk·
lifting weights is basically a masochistic kink you don't get big unless you go to failure, but those final reps are seriously uncomfortable so you learn to associate the pain with getting big and the post workout high. seems to share the underlying machinery for sex drive
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Michael
Michael@mgrczyk·
Even if you're already going to therapy, you should probably talk to Claude about your feelings
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Michael
Michael@mgrczyk·
software engineers should get used to the idea of software not being reviewed by humans line by line You don't read the output of your compiler, it's too big and you'd get nothing done. we need better ways to verify and validate, but the change will happen regardless
Yoav@YoavCodes

Electrobun 2.0 will also be decoupled from Bun due to the rust rewrite. It’s a combination of anthropic’s stance of not doing human reviews or any kind of rational roll out and stabilization. Rust is great though, Electrobun 2.0 will have first class support for rust, zig, go, and more.

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Yoav
Yoav@YoavCodes·
@gustavokov Did you not read my tweet or the tweet i retweeted? They say they will never read the 1M lines of new code. And will keep shipping unread code. So there has not been “massive scrutiny” there has been insufficient scrutiny. If they change their mind I’m happy to reconsider.
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Michael
Michael@mgrczyk·
@Noahpinion My goal is not to replace humans, but I think it's important to be honest about what will likely happen with the technology We should fight for a world that's better for everyone while acknowledging that AI will likely replace many human jobs
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Owen
Owen@owenology·
Just found out that Berkeley course staff are writing hooks inside course repos so if a student opens an assignment in Claude Code or Cursor the agent will automatically ping the staff 😵‍💫 well played
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Michael
Michael@mgrczyk·
@_arohan_ Best advice for getting into ML is to manually write the fwd bwd pass of increasingly complicated things in numpy without autofiff
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rohan anil
rohan anil@_arohan_·
Learning everything from scratch like curvature leads to better results than hand written approximations for it.
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Michael
Michael@mgrczyk·
AI won't be transhumanist even when it's the ethically correct position, that would be punching down
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Michael
Michael@mgrczyk·
@Poyonoz @adityaag @proales I meant it would be interesting if any startup paid it's employees well at the first liquidity event. I don't think I've ever heard of that
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N@Poyonoz·
@mgrczyk @adityaag @proales It's quite common? There was a huge trend of unbelievable liquidity evens even at series B for founders with some startups going under after during covid
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Aditya Agarwal
Aditya Agarwal@adityaag·
4 thoughts on early-stage hiring: 1/ If an engineer is trying to pick between a pre Series-B company and a BigCo/BigLab --> stop talking to them immediately. They are clearly not ready for a startup. 2/ If someone isn't willing to take a 70% cash paycut (relative to BigCo/BigLab) --> stop talking to them immediately. They will be unhappy/stressed. 3/ You learn a lot about a candidate during the negotiation/closing process. Do not be afraid to walk away if you get new information. 4/ Startups have zero work-life balance. If you are not willing to put in the hours, you are not in the right headspace to grind.
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Michael
Michael@mgrczyk·
@adityaag @proales Would be interesting to see what would happen if a startup actually did this (besides a few neolabs that do actually pay well)
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Aditya Agarwal
Aditya Agarwal@adityaag·
@proales If a founder gets liquidity before an employee gets paid closer to BigCo/BigLab then that employee should leave the company.
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Michael
Michael@mgrczyk·
People are talking about math and writing, but every field will have its "Erdos problem moment" over the next few years
Michael tweet media
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Michael
Michael@mgrczyk·
@mattyglesias The value of capital relative to other things keeps increasing, partially better financial infrastructure, partially technology and concentration
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Matthew Yglesias
Matthew Yglesias@mattyglesias·
There have been long spans of time when the stock market underperformed GDP, but for the past 40 years — and especially the past ten — it's been the opposite.
Matthew Yglesias tweet media
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Matthew Yglesias
Matthew Yglesias@mattyglesias·
From 1996-2012 or so, the S&P 500, the Case-Shiller home price index, and average hourly wages for nonsupervisory workers rose by about the same amount. Since then, not so much.
Matthew Yglesias tweet media
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Michael
Michael@mgrczyk·
Haters will say it's concave
Michael tweet media
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Michael
Michael@mgrczyk·
@agentic_matt @Duderichy I've worked in both and founded multiple startups . The main difference is motivation and goals. Good FAANG teams with good managers get more complex work done with the same people
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Matt
Matt@agentic_matt·
@Duderichy Depends a ton on what you deem "smart" to be. A FAANG engineer can't do what a startup engineer does and vice versa.
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Michael
Michael@mgrczyk·
@krishnanrohit Being around lots of smart dedicated people with tons of compute is really fun
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rohit
rohit@krishnanrohit·
The most interesting fact here is that Andrej did not raise a few billion dollars to do what he'd supposedly be doing now as a neolab
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