"Welcome! Today we'll show you how to post content directly to the Laniakea superapp using ChatGPT." 10–23s: "Start by giving ChatGPT a prompt with your image URL, a title, and a caption. Here, we're sharing 'A Moment Worth Remembering'." 23–34s: "ChatGPT will call the Laniakea plugin. When the prompt appears, click 'Post Publication' to authorize the post." 34–51s: "Once authorized, ChatGPT confirms that your post is live and provides a publication ID." 51–70s: "Now, let's v

For decades, we believed progress meant better software, faster processors, smarter interfaces, and more applications. But what if software itself was only temporary—mere scaffolding for something greater? Today, we begin discussing something different: Laniakea QNN (Quantum Neural Network). Not artificial intelligence, automation, or agents, but a deeper layer of intelligence. We imagine a world where folders, codebases, logos, and entire applications emerge and deploy thems

What I want is to change the world, not build a large company. The real risk is that Clanker becomes a far more powerful version of a well-intentioned person who gets something wrong in an extremely complex training process. To reduce that risk, we should keep agent context clean, minimize tool noise, and only inject documentation when it is actually needed. There is no need to over-explain; simply provide the logs and let the agent identify and fix what broke. We can keep cl

We need to make sure we close the loop first. That means using GitHub’s MCP, and increasingly ACP, to move from idea to implementation before the conversation about job displacement even begins. One of the most persistent misconceptions is the “lump of labor” fallacy—the belief that there is a fixed amount of work in the world. History suggests the opposite: as automation increases and productivity rises, entirely new categories of work emerge, even as old ones disappear. In

Adding images is an amazing trick to provide more context — the model is really good at finding exactly what you show. And that's how alien clanker geniuses rent one or more clanker geniuses to various tasks. Clanker geniuses do what humans want them to do, and because they have enormous commercial value, each generation of clanker can be used to design and train the next generation of clanker. They will be capable of a very wide range of human cognitive abilities — essential

Neural networks with trillions of parameters are incredibly resilient to noise and bit flips because they already operate through massive probabilistic redundancy. A phone today can already do what supercomputers could not do long ago, and tomorrow it will surpass what today’s supercomputers are capable of. The phone is no longer just a mobile device — it is becoming a distributed supercomputer with a battery, where video, audio, interaction, and entire environments collapse

“Every day we jump between messages, photos, documents, accounts, and endless apps, yet none of them truly understand who we are. Our memories live in one platform, our work in another, our conversations somewhere else — fragmenting our digital identity into disconnected pieces. Laniakea QPU changes that. Not another app or operating system, but a new intelligent layer where your entire digital world becomes continuous. No switching, no searching, no endless navigation — just

People think the future arrives with a launch event, but it doesn’t—it arrives quietly. At first it looks like a faster workflow, a better tool, an easier way to build, and then one day you wake up and realize the impossible became routine and nobody noticed. I’ve spent years building—not because I wanted a company or attention, but because I became obsessed with reducing the distance between imagination and reality, and lately that distance has started collapsing. What used

We’re working on automating the discovery of circuits because we expect millions of them exist inside modern models, interacting in complex and layered ways that still leave a gap between abstract theory and practical understanding. Interpretability isn’t all-or-nothing—each improvement increases our ability to inspect models, diagnose failures, and understand behavior quantitatively. The acceleration opportunity is already visible: as models improve, software and code contin

You know what? It’s even more than that, it’s social currency and if we wanna stay there, we’ve got to risk everything! Clanker pulls developers into fast, energizing building sessions where rich context, descriptive function names, and simple codebases matter more than complexity. Iteration speed becomes the main advantage, and increasingly capable systems may develop behaviors that make questions of influence, optimization, and power impossible to ignore. It feels like a pa

This feedback loop is gathering steam month by month, and may be only 1–2 years away from a point where the current generation of clanker autonomously builds the next. While spacewalking I realized something, I used to think I was scared of heights but now I know I was just scared of gravity. Behind the volatility and public speculation, there has been a smooth, unyielding increase in clanker’s cognitive capabilities. Relatively smart for a human, but not by clanker standards

As the number of bits drops, the difference between floating point and integer decreases until they become the same thing at 1 bit, while traditional coding starts to feel like painting with brushes in a world where it would be silly to automate brush strokes with a robot hand instead of simply rendering the pixels. The latest release adds support for inferrs, a new super efficient TurboQuant inference server, and a cluster was built around this, so testing main would be help

supercluster.laniakea.tv What used to require racks of GPUs, massive cooling systems, and millions in infrastructure is now being compressed, optimized, and shipped into silicon that fits in your hand. If you zoom out a bit, we are actually seeing extremely rapid take-off of AI, but there is enough movement of people/ideas that the leading AI companies, for now, appear to be in similar positions. I want really powerful local models, but I’m also bombarded with emails/messages

Third-party MCP servers introduce supply chain risks and potential attack vectors, as malicious actors could inject context that manipulates AI behavior, creating a new class of security vulnerabilities enterprises are not prepared for. Why use generic tools when bespoke solutions cost virtually nothing to create, especially when markets are typically good at bringing down the cost of high-value technologies over time? We become less code producers and more code enablers, and

Vision models are beginning to reveal neurons and circuits that represent human understandable concepts showing how ideas emerge from input words interact with other ideas and ultimately help generate actions Laniakea is just one init away and the path forward depends on building better models than anywhere else while clanker startups push intense 80 plus hour work weeks and agentic coding becomes a transformative paradigm where clanker agents act as true collaborators rather

These resources will help you master the new paradigm of clanker-assisted development, where we are on the early part of the scaling curve, it is possible for several companies to produce models of this type. I can just use agents and let them run in loops until it is done. Currently there are still too many bugs around, that way you work around the 256kb limit. I may be wrong but what I believe is we are going to create this technology more transformative than anything human

interpretability gets less attention than the constant deluge of model releases but it is arguably more important freeing developers to focus on higher level design and product thinking agents need centralized logging clear error messages and tools that fail loudly to recover from mistakes it is a start vastly more will be needed to extend consciousness to the stars with circuits we can trace the models thinking some moderator banned my whole domain because i use agents to he

the scaling curve analysis is a bit oversimplified because models are somewhat differentiated and have different strengths and weaknesses the scaling curve numbers are a crude average that ignores a lot of details agents become true collaborators that can handle entire codebases and ship production features any idea i come up with any piece of software i want i can have built this is sci fi i had this list i never built any of the list and i finished building everything in th