@GaryMarcus@elonmusk Is it really that absurd? Hybrid surgery is active reality right now. Humans manage the operation, but robots handle the ultra-precise tasks. In fact, @Neuralink appears to use this exact method already...
@OortCloudAtlas “The tip of my tongue” moments feel so familiar: the harder I try to force the word, the less likely it is to come.
This essay captures a similar paradox beautifully: how trying too hard to make intuition explicit can make it disappear.
https://t.co/JpmognAsj6
@keithfrankish I find it quite amusing that this tweet popped up in my timeline just before yours. Perhaps it’s just a mere coincidence or the power of algorithms, but it’s certainly a very interesting thought.
https://t.co/q5CtjNRx0Q
Community First Theory is out!
My latest paper, “How Collective Organization Generates Individual Diversity,” has been published in Entropy.
Individuality may not precede the collective—it may emerge from it.https://t.co/GlnD3ESRC0
Das ist, ganz konkret. was Björn Höcke, unwidersprochen bei dir fordern und vermarkten konnte, lieber @benungeskriptet. Das fasst die Problematik eigentlich ganz treffend zusammen. (Video von Insta: goldenesschiff)
@NotebookLM I’ve already got a few ideas, but unfortunately, even as a Pro Subscriber, I still can’t access it from here in Germany. When will it be available here?
@fchollet In a society that tends to discipline rather than cultivate children’s desire to learn, the word “thinking” has long since lost its real meaning.
@FranzHoegl Meiner Meinung nach können LLMs mit der richtigen Haltung und Methodik ein sehr gutes Werkzeug für Textverständnis sein. Ein vernünftiger Umgang mit ihnen braucht aus meiner Sicht aber auch andere Motive als Uni-Credits oder berufliche Karriere...
Leif Weatherbys „Language Machines“ hat mir dabei geholfen, LLMs als Technologie zu verstehen, die Sprache selbst produktiv nutzen kann. Vielleicht verhalten wir uns kulturell häufig einfach sehr „LLM-mäßig“ und haben dadurch verlernt, hier den Unterschied zu erkennen.
Es. Gibt. Keine. „KI“. Und die Leute sollten damit aufhören, Chatbots, die auf Large Language Models basieren, so zu benutzen – auch wenn ihnen die zum Marketing von Privatunternehmen geronnene „KI“-Geschichtsphilosophie etwas anderes suggeriert.
@evan_mcgl Your podcast with Friston was excellent, too.
I really hope there will be a second part focusing on technological implementation, AI, etc. in the near future.
From the e/acc trenches to watching @extropic ship.
Congrats @beffjezos can't wait to run this on actual stochastic silicon instead of simulating it digitally.
65k spins finding equilibrium using THRML.
Extropic's THRML library built for their thermodynamic hardware. Currently Running on GPU/CPU now, but one day we might all be running quantum on our devices.
Traditional computing fights physics (force bits to 0/1).
Thermodynamic computing uses physics (p-bits that naturally fluctuate). For sampling problems, that's orders of magnitude more efficient.
This is energy-based inference in your hands.
I would have never ventured into looking into this, still way over my head but its so fucking cool
wish I could have had the capital to put cheques into extropic, nous_research and rysana but lets build to the top.
@eshear Even if the FEP itself isn’t falsifiable as a principle, its implications can be tested. Mark Solms, for instance, proposes such a test for artificial consciousness in systems built on FEP and Active Inference.
@eshear I’d recommend Shannon Vallor, a philosopher of technology exploring how tools shape our moral and intellectual capacities. I really enjoyed her new book The AI Mirror.
@RCarhartHarris On this topic, I recommend The AI Mirror by Shannon Vallor. In it, she argues that it is the irresponsible use of new technologies that weakens our capacity for self-reflection and meaning.
@GaryMarcus Detectorists is the kindest and most wholesome series to watch when you want to switch off and wind down.
It is perfect for truly relaxing.