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Siva

@ergodicthought

Soul of an artist in the mind of a scientist | “... specialization is for insects.”

Bengaluru, India Katılım Ekim 2008
2.6K Takip Edilen494 Takipçiler
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Siva
Siva@ergodicthought·
@cvkrishnan I wish there was a cultural artifact that we could point people to -- convincingly articulating how lack of sovereignty is fundamentally a cap on wealth. Still seeing too many delude themselves that one can jugaad around it with appl layer / business model innovations.
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Krishnan
Krishnan@cvkrishnan·
@ergodicthought It is already. But the powers that be will begin to notice it only when other powers start squeezing our balls in tech.
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Siva
Siva@ergodicthought·
@_onionesque @sanjeevsanyal Your comments were premised on highly subjective (ad-hominem) assertions, which made it impossible to engage in constructive discussion.
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Shubhendu Trivedi
Shubhendu Trivedi@_onionesque·
@ergodicthought @sanjeevsanyal I can definitely see the civility. I didn't say anything uncivil. I made an observation (made over a long period of time), and agreed with your reply. Might have been the first time I replied. I just find the juxtaposition of progress-oriented talk with charlatans very curious.
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Siva
Siva@ergodicthought·
@_onionesque @sanjeevsanyal You're welcome to dam the rivers you don't like, including mine. I like the technical content you share, but I don't appreciate your public defecation in my replies. Use your own river for that. I like to keep my spaces civil.
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Siva
Siva@ergodicthought·
@_onionesque @sanjeevsanyal "No man ever steps in the same river twice, for it's not the same river and he's not the same man..." The feed is a river 😝
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Siva
Siva@ergodicthought·
@michaelhedgpeth That's exactly what makes it an interesting experiment. In the spirit of discovery -- it would be no fun if they half-assed it🙃 Anthropic seems fully committed to the agentic style, at least for Claude Code. We'll see how it works out. Let 'em cook, and vote with your feet!
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Michael Hedgpeth
Michael Hedgpeth@michaelhedgpeth·
@ergodicthought It's interesting to me to see what codex is putting out vs claude. Codex feels planned an intentional. Claude feels like YOLO. I really hope Anthropic moderates into proper product management; the product right now is starting to show the chaotic center of the process.
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Siva
Siva@ergodicthought·
Claude Code is going to be an interesting crucible for this. The devs are self-professed AI coding maximalists, and it's a highly public app with vigorous growth in features and substantial code churn.
Mitchell Hashimoto@mitchellh

I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.

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Siva
Siva@ergodicthought·
🤔 MTTR wins out only if code asymptotically approaches completion and new errors are made unlikely (essential complexity resolved with understanding). Otherwise, MTBF will plummet as the system keeps encountering new ways to break in exploding incidental complexity of code.
Mitchell Hashimoto@mitchellh

I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.

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Nando de Freitas
Nando de Freitas@NandoDF·
Feynman: “What I cannot create, I do not understand" Me + AI: “What I create, I struggle to understand”
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Siva
Siva@ergodicthought·
@LucaAmb @octonion Maybe they should take their name off so many papers and instead be credited with acknowledgements?
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Luca Ambrogioni
Luca Ambrogioni@LucaAmb·
No, you are supposed to obsessively check everything line by line after any of your coauthors make any update to any of your papers. Major PIs will author more than 15 papers a year with several tens of coauthors. Now they are supposed to check everything line by line at every single update without failure rate. If the failure rate of any of this is 0.5-1%, a PI who publishes 15 papers a year or more will likely be banned in a few years at best
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Siva
Siva@ergodicthought·
@stellensatz 🤔 Why disrupt simple market mechanisms? Is this to benefit students or to benefit companies looking to lock down students at lower pay if they interview earlier in the cycle? Sounds very coercive TBH; yet another common policy which disrespects & mistreats talent.
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Siva
Siva@ergodicthought·
@svembu "Make incorrect states unrepresentable" (h/t Joe Armstrong)
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Sridhar Vembu
Sridhar Vembu@svembu·
If we want to be clearly understood, we need to speak precisely. But precision does not require pomposity and ceremony. "Everything should be made as simple as possible, but no simpler" as Einstein said. (Note to programmers: I am talking about type systems!)
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Siva
Siva@ergodicthought·
@Gena_I_Gorlin @shreyas Described this way, high agency sounds suspiciously similar to omnipotence. Is high agency a specific pattern of behavior with it's pros & cons? Or is it an unqualified good in every situation, with no pernicious side effects?
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Gena Gorlin
Gena Gorlin@Gena_I_Gorlin·
Counterpoint: if you don’t think everyone can develop high agency, you have too narrow a definition of it (as most do, in fact). And spinning your wheels anxiously over things you can’t control is almost the sine qua non of Low Agency.
Gena Gorlin@Gena_I_Gorlin

Sometimes it’s high agency to move fast and break things; sometimes it’s to move slow and demand perfection. Sometimes it’s to plan ahead; sometimes it’s to be spontaneous. Key question is: are you doing what you honestly judge best, by your own lights, given your own context?

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Shreyas Doshi
Shreyas Doshi@shreyas·
I’m a huge fan of High Agency. But 2 things I now understand about it: 1) Not everyone can develop High Agency—and High Agency people will find it hard to accept this 2) It has major professional upsides, but also creates chronic anxiety in life situations you can’t control
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Siva
Siva@ergodicthought·
@star_stufff No one dares :-) I think there's definitely room for a good one -- which marries the hep & cond-mat perspectives, and also covers RG. IIRC, even among textbooks, it was all Peskin & Schroeder for a long time, before we got a few maybe 10-15y ago (Zee, Schwartz, etc)
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Akshat
Akshat@star_stufff·
why are there so many popular level books on quantum mechanics but hardly one or two on quantum field theory
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Natesh
Natesh@entropic_d3ath·
What is the temperature of a superconducting electronic computer operating at say 20 K, simulating the boiling of water at 398 K? Either you distinguish b/w sim of a property vs its instantiation or assume consciousness is computational to begin with.
Ryota Kanai@kanair

I often hear arguments that simulated consciousness cannot be real consciousness. But these arguments often miss the point that simulations are physically instantiated in a computer with real causal dynamics. It is not like a fictional character with no internal mechanisms.

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Siva
Siva@ergodicthought·
@paraschopra @siddarthpaim Gentle problems will just become like homework assignments; it's not like there was a pressing need for those results anyway 🤷‍♂️ Quite common in fields with a high entry barrier for grad students to be doing these for the first half of their PhD.
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Paras Chopra
Paras Chopra@paraschopra·
This is also true for AI / ML research. Models have gotten to a point where they can autonomously do empirical research. They still aren’t doing frame-shifting research but then most humans aren’t there too. The floor for what counts as a good human researcher has gone up.
Paras Chopra tweet media
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