Clive Chan

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Clive Chan

Clive Chan

@itsclivetime

perplexity per picojoule @openai / formerly a car @tesla dojo

California, USA Katılım Mayıs 2012
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Clive Chan
Clive Chan@itsclivetime·
@elonmusk lfg looking forward to the race
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Clive Chan
Clive Chan@itsclivetime·
i don’t think the encyclical needs to / can advance the discussion beyond silicon valley’s own expert years-long hands-on study of all corners of the topic. i think it’s good that the largest religious institution in the world is steering billions of people & their policymakers toward productive discussion of the topic.
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rohit@krishnanrohit·
Agree with Dean. I skimmed the encyclical, it was quite low perplexity. Hit the usual points: - We don't know how the technology works - Hopes and prayers - We should go slow so someone can do something - Dignity in work, AI doesn't have a soul - AI is biased - AI uses a lot of resources - AI will cause unemployment It's a very predictable and known bundle. Whichi s what makes this quite boring and unhelpful. So I'm not accused of being narrow minded, here's something I'd have found interesting. If it had said AI is able to do much of what we consider heights of humanity's achievements and seems to continue and despite its lack of a soul it provides succour to millions, what does that say about the spiritual needs of our times! This is a new society we're going towards, and going to it with humility and god's love is important to make something that will empower every one of us.
Dean W. Ball@deanwball

Reading the encyclical, I am reminded that the Vatican is fundamentally a city-state on the continent of Europe, and that its elites, which of course include the Pope himself, cannot resist the myopic preoccupations of the Eurocrat. This document would be much improved if it were less enamored of the traditional academia/civil society talking points on AI (“The apparent objectivity of the responses and suggestions these systems provide can lead us to overlook the fact that they reflect the cultural assumptions of those who designed and trained them” woah! really???) and more engaged with where AI is headed. But instead of doing that, the encyclical dodges in the deepest sense, denying that AI “really thinks” or “really learns” and all that typical strain of cope that amounts to magical thinking: “when a computer does it, it is ‘data processing,’ beep boop, but when a human does it, it is ‘actual learning’” It is probably actively bad for global understanding of AI that the Pope endorsed this viewpoint as late as 2026. In the end, this encyclical reads to me as though ghost written by the blob of Western civil society, the same people whose feckless and incoherent preaching we have heard blanketing our media for decades now. And, in a very important sense, it was written by them; after all, who forms the peer group for the elites of a European city-state? Like that blob, the encyclical is intellectually flaccid at its core, no matter how well intentioned it may be. This document is a missed opportunity to advance global understanding of AI, and yet another blow to the legitimacy and sanctity of storied Western institutions. As if you needed one more.

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Clive Chan
Clive Chan@itsclivetime·
(congrats chris!)
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Clive Chan
Clive Chan@itsclivetime·
seriously crazy timeline we live on
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Clive Chan
Clive Chan@itsclivetime·
@ch402 This is incredible work, congrats Chris!
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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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Clive Chan
Clive Chan@itsclivetime·
@lauriewired i think cxl is great for databases and such, it’s just that everyone’s trying to sell it for ai which makes no sense for perf or cost :’)
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LaurieWired
LaurieWired@lauriewired·
I just can’t get over how neat CXL type 3 is. Imagine having a 1TB bucket of memory. But! Instead of 1TB of DDR5, you have a tiered CXL accelerator. To the OS, it *looks* like regular memory, you address it in the same way. Maybe your accelerator is actually 100GB of DDR5, and ~1TB of high bandwidth flash. The first 100GB is your buffer, and a little controller slowly flushes it out. Many, many workloads are not hammering RAM enough for you to notice. Wait! You could get even more clever. With regular memory, bouncing cachelines between CPU cores is annoying. Often, you’ll program your way around this (avoiding a shared counter) by having each thread maintain a temporary local state with occasional global syncs. But, if we have a custom CXL 3 memory device, that slow global merge could be implemented in hardware instead. You’d never have to have cores fight over the same cacheline, because the shared-counter would be local to the CXL device! Aka, a remote atomic! This is essentially the concept of NDP (near-data processing), and of course there are much, much more fancy algorithms you can do with it, that’s just one example. But you can imagine, especially with database-style operations, how much bandwidth you could save not having to round-trip to the CPU and back for every operation. Imagine if your RAM could run a regex for you! We’re getting really close to that world.
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Clive Chan
Clive Chan@itsclivetime·
gave claude code a try for a side project. some first impressions (as compared to codex): - remote control is basically unusable, keeps disconnecting. codex takes much longer to load conversations but at least the connection persists - feels generally quicker, nice for rapid iteration. or maybe i need to dial down my codex thinking effort? - dictation is much worse, it’s constantly wrong and cuts off early. in codex i never have to think about it, it’s just always right - app forgets the text i wrote when i switch conversations, ugh - vague vibe that it’s more proactive than codex (like, anticipating what i want, not just following explicit instructions) - i miss codex’s tab = queue, enter = interrupt - both are awful at multimodal tool use, both have similar algos intelligence, both cli harnesses feel the same & have similar text rendering issues overall it’s a wash except for claude app being behind. agentic coding really is still in early days!
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Clive Chan
Clive Chan@itsclivetime·
another one. this will be good
Dwarkesh Patel@dwarkesh_sp

New blackboard lecture w @reinerpope How do chips actually work – starting with basic logic gates, and working up to why GPUs, TPUs, FPGAs, and the human brain each look the way they do. 0:00:00 – Building a multiply-accumulate from logic gates 0:16:20 – Muxes and the cost of data movement 0:25:59 – How systolic arrays work 0:39:00 – Clock cycles and pipeline registers 0:51:40 – FPGAs vs ASICs 1:03:14 – Cache vs scratchpad 1:07:16 – Why CPU cores are much bigger than GPU cores 1:11:49 – Brains vs chips 1:15:22 – A GPU is just a bunch of tiny TPUs Look up Dwarkesh Podcast on YouTube/Spotify/etc to watch. Enjoy!

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Clive Chan
Clive Chan@itsclivetime·
singapore (and the entire us private sector) has figured out that if you pay $1M/yr you get the best people. add performance based bonuses and they'll perform at their best meanwhile Congress is full of people either rich enough to not care, or unethical enough to insider trade
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Clive Chan
Clive Chan@itsclivetime·
fixed my codex remote access with the help of codex! works great with wireguard too my 3090 is now happily crunching
Clive Chan tweet media
Clive Chan@itsclivetime

@stochasticchasm @thsottiaux ok i fixed it. symlinked codex and node into ~/.local/bin i think the correct fix is either 1) make codex app use a login shell ie /bin/sh -lc so it gets my .profile 2) make codex app prepend more common .nvm paths to the hardcoded search paths

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Clive Chan
Clive Chan@itsclivetime·
@stochasticchasm @thsottiaux ok i fixed it. symlinked codex and node into ~/.local/bin i think the correct fix is either 1) make codex app use a login shell ie /bin/sh -lc so it gets my .profile 2) make codex app prepend more common .nvm paths to the hardcoded search paths
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Clive Chan
Clive Chan@itsclivetime·
got telegram codex set up on my home server codex remote is 99% of the way there but i just want `PasswordAuthentication no` :(
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