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mooneater

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robin@pathwayi.com

Head of Engineering @ SF VC AgFunder. Reinforcement learning fanatic. Host TalkRL Podcast talkrl.com Ex-Microsoft Technical PM Alum Waterloo Computer Engineering Alum Woodstock School

Vancouver BC area.

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www.talkrl.com 6y ago

Csaba Szepesvari of DeepMind on TalkRL

mooneater
2pts0
www.talkrl.com 6y ago

Dopamine author Pablo Samuel Castro on TalkRL: Reinforcement Learning Interviews

mooneater
2pts0
www.talkrl.com 6y ago

Kamyar Azizzadenesheli on TalkRL: Reinforcement Learning Interviews

mooneater
2pts0
agfundernews.com 6y ago

Why technology could make animals obsolete

mooneater
6pts0
www.talkrl.com 6y ago

ACM Fellow Michael Littman on TalkRL: Reinforcement Learning Interviews

mooneater
2pts0
www.talkrl.com 6y ago

Natasha Jaques on TalkRL: Reinforcement Learning Interviews

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2pts0
medium.com 9y ago

R Markdown Hacks

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3pts0
medium.com 12y ago

The Bitcoin blockchain/DNA metaphor

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1pts0
randomfeelsgood.blogspot.ca 12y ago

Karachter: the tiny, slow social network one-ups Path and Twitter

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1pts0
news.ycombinator.com 13y ago

Ask PG: Can you make a statement on privacy regarding HN servers?

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18pts4
myceli.al 13y ago

Spore: Open source, Open standards encrypted VOIP client and network for Android

mooneater
8pts1
news.ycombinator.com 16y ago

Ask HN: Emulation for a wide variety of cell phones?

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1pts1
news.ycombinator.com 17y ago

Ask HN: Best practices for ASPs handling Enterprise customer data?

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4pts1
news.ycombinator.com 17y ago

Ask HN: VC are calling later today, how much should I reveal?

mooneater
10pts13
martinfowler.com 18y ago

Evolutionary Database Design Tools

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3pts0
courses.cs.vt.edu 18y ago

An Investigation of the Therac-25 Accidents (1993)

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4pts2
laserlike.com 18y ago

Venture capital, entrepreneurship, big companies, and innovation

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4pts0
news.ycombinator.com 18y ago

Ask YC: Discussing your secret weapon?

mooneater
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news.ycombinator.com 18y ago

Exposing a language-agnostic API?

mooneater
7pts8

Because postgres and postgis are awesome!

I migrated to them in 2005 (from mysql) and was amazed by how much happier I was. And it never cost me a dollar.

I loved it so much I visited its authors in Victoria and bought consulting from them. They are amazing folks.

Its... cool?

Alternative would be: clone the repo, do your changes, run gitk to be sure.

Which has advantage that result looks exactly the same as it will in production (no new diagram type b/c only using git and gitk), with zero risk that sim differs from reality.

Wrong. No way they could scale using humans. Humans were used only for training data.

ChatGPT itself says all kinds of things; journalists using it as a source are either badly uninformed or purposely misleading readers.

How much of this would be fixed if you lived in the woods and did the same job remotely (which is my situation with similar work).

Sounds similar to what Google's SayCan is doing. https://say-can.github.io/

They taught it separate skills. When a situation arises, the skills (which you could almost consider sub-agents) compete to decide who is most likely to be relevant here. Then that skill takes over for a bit.

They also have a version called "Inner Monologue" in which the different parts "talk to each other" in the sense of collaboratively creating a single inner monologue, allowing for reactiveness/closed loop behaviour.

I interviewed 2 authors of SayCan/Inner Monologue here: https://podcasts.apple.com/us/podcast/karol-hausman-and-fei-...

I'm glad they are thinking through the details on barrier design.

Lets not forget that is only necessary because the automotive industry is barbaric to begin with. Let's recall why trains dont require advanced crash barrier design like this.

I remember in grade 8 my geography teacher noticing I wasn't paying attention and asking: "What did I just say?"

The sound of his last couple sentences were in my recent memory (timestamped?), but it seems I hadn't fully parsed them yet. When he asked, I took a brief moment to parse them, then to his disappointment I repeated them verbatim to him.

I'll never forget the way my brain processed delayed audio that day!

not prediction based on anything statistical but based on one's understanding

It is still statistical. You still want to predict a distribution over expected next token.

However, the function needed to estimate the likely next tokens are not simple max over enumerated next tokens like in a language model. It's more like a transition model in reinforcement learning.

trying to work the concepts out in my own mind and to anticipate what the authors are going to say before turning each page. I usually fail to guess what the next page holds, but the fact that I've tried and failed makes me more ready to understand why the authors chose the paths that they did

TIL Donald Knuth operates a bit like GPT-3 but for research paper narrative.

Unneeded complexity is the greatest enemy of the software engineer.

Unnecessarily complicated is the default. Choose the elegant thing wherever possible (its not always possible, but often is).

Actively avoid complexity, or it will shackle you.