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The phrase "full-duplex" feels like a signal amongst the noise.
Note: Eleven Labs' leading conversational AI operates on a half-duplex architecture. But even they released Eleven v4 Turbo in September and that is Full-Duplex.
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
"AI Agents don't click on Ads" so what is the future business model of the web?
youtu.be/tX3DkdxAe5c?si=ianF…
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Can we finally make a theory for Darwin's "Endless Forms Most Beautiful and Most Wonderful"?
Introducing ruliobiology as a path to general theory in biology, starting with foundations for a theory of biological form
writings.stephenwolfram.com/…
Carl Jeffrey retweeted
A legal tsunami is heading for government. They system is not built to handle the volume of input that agents are now able to produce. Without new infrastructure, our institutions will be under permanent DDOS attack. Who wants to build this?
Carl Jeffrey retweeted
Gonna re-post this post again because I think of it EVERYTIME my I instinctively/subconsciously reach for my phone (like a baby reaching for its binky or stuffy)
Cell phone addiction is an absolute thermonuke to the brain and nobody 'takes it seriously' because it is not clear that there is any solution in a world where the revealed preference of everyone across the globe, regardless of income, race, age, any factor whatsoever, would rather be on their phone than do *anything* else. Deciding "I use this too much" and meaningfully altering one's behaviour doesn't seem to have much success for any of the very small minority of people with the sentience or self-reflection to realize how bad it is. Most people seem to think of it as an unproductive habit at most, rather than an addiction. Any attempt to speak seriously about this is met with derision, accusations of pretentiousness. There is no real solution to it. The future of human cognition fifty years down the line is horrifying if you stop and think about it for even a moment.
An update:
No, a Yandex cloud malfunction did not take down disinformation/troll bots. It's a dangerous misconception. This is not how it works, not even technically. After Ukrainian drones hit Yandex data centers, a viral chart showed Russian "bot traffic" collapsing. But those bots are mostly Yandex's own search crawlers, not the info-ops social media accounts. Troll farms hide behind proxies, hijacked devices and Western clouds. They're still operating. Hired influencers are also still around. The "bots went silent" story is misinformation. Believing it is plainly dangerous. It tells people the threat is gone while influence operations keep going. Ahead of elections that complacency is what they may count on.
The Ronco Principle:
paulgraham.com/ronco.html
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1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
Someone made a video explainer of @nickcammarata's thinking. I wonder if he agrees fully with the interpretation or if any edits are suggested. Either way, interesting! 👀
xitter.cf/anabology/status/21108…
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/




































