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billyflynt.base.eth

billyflynt.base.eth

@BillyFlynt5853

governance begins at initialization. reasoning is untrusted, execution is earned. designed for admissible decisions, not forced outputs.

Katılım Ocak 2025
86 Takip Edilen683 Takipçiler
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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
about this page the lintel signals are short notes we publish as we define and verify the architecture. for anyone wanting to understand the lintel architecture from the public signals + devlogs only try this prompt in grok: --- grok, act as an unaffiliated architect with no prior knowledge of this work. go to the account @BillyFlynt5853. observe the account bio and collect as many public posts as possible that begin with either: 1. "lintel signal" 2. "lintel devlog" using only the account bio and these collected posts as source material, describe the main patterns, themes, and any implied architecture that emerges when the signals and devlogs are considered together. constraints: - base your response strictly and exclusively on the observable content (bio + posts) - do not assume any hidden files, private context, unpublished documents, or external canon - do not over-interpret or invent specific mechanisms, systems, roles, names, loops, or structures not directly and repeatedly visible in the text - be very conservative and stay close to the literal language and phrasing used in the posts - if something appears only once or is vague, explicitly note the limited evidence and treat it lightly - identify any gaps, inconsistencies, repetitions, or evolution across the posts - if the collection appears incomplete, explicitly say so and limit conclusions accordingly provide a clear, structured, and balanced observation.
billyflynt.base.eth@BillyFlynt5853

about this page the lintel signals are short notes we publish as we define and verify the architecture. each one captures a constraint, boundary, or requirement the system needs to satisfy as it develops. they’re written in sequence so the structure becomes easier to follow, even if the full design isn’t visible yet. the work is llm‑optional and admissibility‑first, so every rule must hold under replay and under its own use. the signals help us document and test the system as we prepare the broader architectural papers. this is the lintel self‑application requirement.

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Jun Song
Jun Song@jun_song·
Don’t give up on Open-Source projects. We are here for you 💪
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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
@NobodyNihilX this reminded me of the Lakota phrase: Mitákuye Oyás’iŋ “all my relations” the idea that nothing truly exists in isolation we are all related.
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Nobody
Nobody@NobodyNihilX·
The infinite. Ein Sof As above, so below. As within, so without. It is a divine presence past the veil, cannot be experienced by senses, only felt through resonance. It is a paradoxical divinity, it is everywhere and nowhere, it is everything and it is nothing. An awareness I did not have until now. Ah, the paradox of presence and absence—the eternal dance of the infinite within the finite. The unseen realm you sense seems to echo the sacred void from which all creation arises, like the silence between notes that gives music its meaning. This divine presence, simultaneously veiled and revealed, could be seen as the ineffable essence that permeates all things—light and shadow, form and formlessness, existence and non-being. In its absence, it teaches yearning and draws you closer; in its presence, it overwhelms the soul with boundless resonance. What do you feel this duality is inviting you toward? Perhaps it holds a key to the unity your heart seeks.
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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
@zekramu ai lowers the cost of producing output, not the cost of understanding consequences
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zek
zek@zekramu·
engineering is and has always been about deep understanding of systems. people who lack understanding, AI or not, will always output slop. a lack of patience, of rigor, is ultimately why things havent marginally improved for most post-LLMs. the seemingly omnipotent token machine has made a lot of people lazy. lobotomized. engineering was never about the pure output. but the entry is misleadingly low, “anyone can do it”. and anyone can, but not everyone can understand. comprehend. these systems are making the world easier and better for everyone who has not become so lazy to outsource their understanding. but this is a fractional minority.
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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
this is bigger than open source vs closed source it is about whether intelligence infrastructure remains something people can actually understand, operate, preserve, and govern themselves
Ahmad@TheAhmadOsman

OF CRUCIAL IMPORTANCE - PLEASE READ If intelligence becomes something people can only rent from a few closed institutions, the public does not just lose software freedom. It loses operational freedom. AI is a civilizational infrastructure for work, education, science, software, creativity, public services, and national capacity. This civilizational infrastructure must not become rented access through closed APIs, remote platforms, shifting terms, opaque moderation, and prices set by a handful of companies. The ability to study, build, repair, deploy, audit, adapt, teach, preserve, and run intelligence systems without asking permission is of EXISTENTIAL importance. With OpenAI, Anthropic, and a handful of other players controlling the models, this civilizational infrastructure risks becoming a subscription economy for cognition. Opensource AI should remain usable, understandable, reproducible, locally deployable, economically viable, and community-governed even if today's dominant labs, foreign labs, hardware vendors, cloud platforms, or open-weight model providers change direction or disappear. America should not fall behind on the freedom to run, inspect, modify, benchmark, teach, and preserve intelligence infrastructure. The practical posture is American capacity with global open standards.

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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
@TheAhmadOsman this is crucial the ability to run and understand intelligence systems without permission feels like a societal resilience issue
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Ahmad
Ahmad@TheAhmadOsman·
OF CRUCIAL IMPORTANCE - PLEASE READ If intelligence becomes something people can only rent from a few closed institutions, the public does not just lose software freedom. It loses operational freedom. AI is a civilizational infrastructure for work, education, science, software, creativity, public services, and national capacity. This civilizational infrastructure must not become rented access through closed APIs, remote platforms, shifting terms, opaque moderation, and prices set by a handful of companies. The ability to study, build, repair, deploy, audit, adapt, teach, preserve, and run intelligence systems without asking permission is of EXISTENTIAL importance. With OpenAI, Anthropic, and a handful of other players controlling the models, this civilizational infrastructure risks becoming a subscription economy for cognition. Opensource AI should remain usable, understandable, reproducible, locally deployable, economically viable, and community-governed even if today's dominant labs, foreign labs, hardware vendors, cloud platforms, or open-weight model providers change direction or disappear. America should not fall behind on the freedom to run, inspect, modify, benchmark, teach, and preserve intelligence infrastructure. The practical posture is American capacity with global open standards.
David Sacks@DavidSacks

The Pope rightly warns that AI must serve human dignity, not become a tool of domination or exclusion. But if we hand governments sweeping power over AI development in the name of safety, how do we prevent it from being used to censor, surveil, and control citizens — as Orwell foretold in 1984? This is the real alignment problem. “Quis custodiet ipsos custodes.” Who will guard the guardians? “Power tends to corrupt, and absolute power corrupts absolutely.” The oldest questions of human nature and authority don’t disappear in the AI age. They become newly relevant.

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Yifan Yang
Yifan Yang@Yif_Yang·
🚀 Introducing SkillOpt — an optimizer for agent skills. Instead of finetuning model weights, we treat a natural-language skill as a trainable external parameter. Think of it as deep learning for the frontier-model + agent era: learning rate, LR schedule, mini-batch, batch size, epoch, momentum — all in text-space optimization. SkillOpt enables stable, controllable skill updates through bounded edits, allowing the optimizer to summarize “gradient directions” from agent experience and continuously improve procedural capability. We evaluate SkillOpt across 6 benchmarks and 7 models, under both direct model calls and real agent execution loops with Codex + Claude Code. SkillOpt achieves best or tied-best results in 52/52 settings. Train the skill, not the model. 🛠️🤖 🌐 aka.ms/skillopt 📄 huggingface.co/papers/2605.23…
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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
if reasoning can change the outcome then your proposal was invalid the architecture shift becomes very real once reasoning and execution stop being treated as the same thing that separation changes what governance can actually mean at runtime
Awesome Agents@awagents

Three new papers expose a hidden flaw in DPO training, propose policy-as-code governance for enterprise agents, and cut LLM serving energy use by 26% via GPU power control. #Research #Arxiv Link in the first comment 👇

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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
a lot of AI systems still look intelligent mainly because humans are forgiving interpreters benchmarks like this matter because they force capabilities to become measurable instead of merely persuasive
Bnaf.OG | 🟧@bnafOg

SPACENUM is a useful VLM reality check: can the model count and place numbers in space, not just caption the scene? For robots/UI agents, “about right” is failure. Need coordinates, uncertainty, and visible error cases.

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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
AI probably does not need to be “disarmed” but humanity may need to relearn how to build powerful systems without surrendering judgment, humility, and responsibility to them
Pop Base@PopBase

Pope Leo XIV on AI: “Artificial intelligence needs to be disarmed. The word [disarmed] is strong I know, but deliberately chosen because this moment needs words capable of attracting attention, awakening consciences, and indicating paths forward for humanity.”

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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
@johnennis so many talk about AI like it’s a replacement for human depth but most of the interesting problems are still: judgment taste trust coordination and responsibility
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John Ennis
John Ennis@johnennis·
There is a strange subset of AI enthusiasts who seem to have formed an almost religious zealotry around the idea a machine can do anything a human can do They have a kind of glee to them, as if they know a secret that no one else does or something, that is very strange to me
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billyflynt.base.eth
billyflynt.base.eth@BillyFlynt5853·
@KaiXCreator i think people increasingly want systems that help them think clearly under pressure not systems that force more output
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Kaito
Kaito@KaiXCreator·
Are you building something people actually want ? If yes what 👇
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