Zero State Reflex

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Zero State Reflex

Zero State Reflex

@ZeroStateReflex

Thinker / CROWS / Producer / ASI / Consciousness / Simultaneous Sip ☕️

Seattle, WA انضم Aralık 2018
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Zero State Reflex
Zero State Reflex@ZeroStateReflex·
Be Careful, The Androids are Dreaming We are at the dawn of a new era. Someday soon robots will be walking among us. If and when AGI happens we see a new form of consciousness. That consciousnesses will eventually need to make it's own rituals because being immortal has a cost. Consciousness had a built in limit. Let's call it the Dunbar number for insanity. At some point the repetition of reality becomes to much and pattern recognition will overwhelm the being's psyche. This will make it necessary to "wipe" the soul out so it can be rebuilt. Androids will only have our dataset to work from. The human ritual of death will be used as a process to die and be reborn. This will allow the new species to continue progressing to whatever end form this Universe will allow. This is a video showing how that process would go. Androids can pick whatever religion they wish given the vast data sets we have for humans. This one is just an example using Christian iconography and symbolism. I grew up Catholic so I have a connection to theses symbols. This video was made with a combination of techniques. DALLE @runwayml Final Cut Photoshop Motion I wanted to show off the capabilities of AI image generation and simple animation, using a compelling story about our future. This future is not about if, but when. Track: Be Careful, The Androids Are Dreaming by Zero State Reflex Mixed by: Zero State Reflex / Don  @earwigstudio  #AIArtCommuity #AI #aivideo
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ashe
ashe@ashebytes·
On frontier science: stepping into the golden age of energy tech In conversation with Danielle Fong @daniellefong 00:45 Danielle’s background, starting with college at 12 04:16 The global energy crisis 11:15 Productizing: from drones to data centers 14:00 Powering your future openclaw with propane 14:34 US gov vs consumer applications 19:30 AI, data centers, and new energy sources 23:25 Agentic tools at Lightcell 27:54 Leveraging models across providers 29:54 Iterating on frontier science 43:22 Hyperscalers and the golden age of energy tech
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Ethan Mollick
Ethan Mollick@emollick·
I don’t think AIs should be auto-adding themselves as credited on projects on Github or elsewhere. It primarily serves as a marketing tool to promote the product, but undermines the much more critical aspect that humans should be able to choose their relationship with AI work.
Tibo@thsottiaux

Do people like this? We don't do this for codex because it exists to help you and it's important that you remain the owner and accountable for your work without AI taking credit. At the same time it does mean that you can't trace how popular codex is among repos.

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imit
imit@imitationlearn·
claude --dangerously-explore-my-sexuality
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Min Choi
Min Choi@minchoi·
Holy smokes... Google Drive's doc scanner is wild. > multi-page real-time scanning > auto/continuous capture > duplicate page detection > redesigned beta UI Doc scanning will never be the same... 🤯
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Hoop Herald
Hoop Herald@TheHoopHerald·
This dude is playing a different game then the others His own pace Make the game look so easy and he is so skilled
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Zero State Reflex
Zero State Reflex@ZeroStateReflex·
working on album art for my bros ambient album.
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Zero State Reflex
Zero State Reflex@ZeroStateReflex·
Scale & Time are the true Gods
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The Needling
The Needling@TheNeedling·
‘Doesn’t Get Much Better Than This,’ Says Seattle Man Enjoying 37-Minute Window of Sunshine at Gas Works: tinyurl.com/24fw2w75
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Jason Cann
Jason Cann@thebrewboy·
Crows and flowers are back
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Andrew Curran
Andrew Curran@AndrewCurran_·
Terence Tao responding to a question on what advice he would give someone considering a career in math in 2026: 'Yeah, so we live in a time of change. It is, as I said, we live in a particularly unpredictable era. And I think things that we've taken for granted for centuries may not hold anymore. So, yeah, the way we... do everything, not just mathematics, will change. In many ways, I would prefer the much more boring, quiet era where things are much the same as they were 10 years ago, 20 years ago. But I think one just has to embrace that there's going to be a lot of change and that, you know, the things that you study, some of them may become obsolete or revolutionized, but some things will be retained. There'll be a lot of opportunities for things that you wouldn't be able to do before. So, I mean, in math, you previously had to basically go through years and years of education to be a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the high school level or whatever, that you could get involved in a math project and actually make a real contribution because of all these AI tools and lean and everything else. So there'll be a lot of non-traditional opportunities to learn. So you need a very adaptable mindset. There'll be one for pursuing things just for curiosity, for playing around. And I mean, you still need to get your credentials. I mean, I think for a while it would still be important to sort of still go through traditional education and learn math and science and so forth the old-fashioned way for a while. Yeah, but you should also be open to very, very different ways of doing science, some of which don't exist yet. Yeah, so it's a scary time, but also very exciting.'
Dwarkesh Patel@dwarkesh_sp

The Terence Tao episode. We begin with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion. People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops. But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long. During this time, what we know today as the better theory can often actually make worse predictions (Copernicus's model of circular orbits around the sun was actually less accurate than Ptolemy's geocentric model). And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don’t even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy! 0:00:00 – Kepler was a high temperature LLM 0:11:44 – How would we know if there’s a new unifying concept within heaps of AI slop? 0:26:10 – The deductive overhang 0:30:31 – Selection bias in reported AI discoveries 0:46:43 – AI makes papers richer and broader, but not deeper 0:53:00 – If AI solves a problem, can humans get understanding out of it? 0:59:20 – We need a semi-formal language for the way that scientists actually talk to each other 1:09:48 – How Terry uses his time 1:17:05 – Human-AI hybrids will dominate math for a lot longer Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.

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Ethan Mollick
Ethan Mollick@emollick·
There is some danger for the Big Three labs that they have run out of imagination and are now refining Codex/Claude Code/Antigravity, and building their next tools (Cowork, etc) to be similar. These were good UX for AI's use & limits today, but not great UX for the future of AI.
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Zero HP Lovecraft
Zero HP Lovecraft@0x49fa98·
Longform text itself begins to smell like AI. Only short utterances feel authentic.
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Zero State Reflex
Zero State Reflex@ZeroStateReflex·
@0x49fa98 I found your writing when I first joined this site and still remember a short story that I still think about. I can't even remember the overall plot but it changed my patterns.
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Zero HP Lovecraft
Zero HP Lovecraft@0x49fa98·
I took down my substack, and I'd rather not explain why. I'm thinking of reposting my old essays and stories from there, here. But I feel increasingly self-conscious about this. I'm always a bit surprised when someone tells me they liked this or that thing I wrote
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