The Singularity Project

Inti AI for the rest of us. Launching soon!

@thsottiaux They talk about model convergence... in this case I am finding that both Codex and Claude Code have converged on the same level of stupidity on the issues I am working on at the moment.

We found and fixed two issues that could explain this degradation of the capability of GPT-5.5 in Codex over the last ~ 48 hours. We are monitoring over the coming hours to fully confirm and I will reset usage limits this evening. Apologies and now is the time for /fast maxxing.

@thsottiaux I'm trying Claude Code while you figure this out. Hopefully this is not a from the frying pan into the fire type of move.

@thsottiaux I can confirm a drop in intelligence currently. Several different mistakes/bad choices/wrong directions.

@timecaptales official theme song of @openclaw

The B-52's performing on Saturday Night Live with Teri Garr hosting on January 26th, 1980.

NGL: even if I enslave myself to trying to please the new algo, it's not gonna change a thing. Either you help X sell advertising for the win (which means Lowest Common Denominator appeal) or you get iced out. I very much doubt that core truth has changed. I would love to be wrong.

i just learned that a houseplant solves voronoi diagrams using local cell signals we’re using GPUs to do it. it has no coordinates. it has chemistry and time the algorithm IS the development every leaf is the residue of a computation we never bothered to watch

You've described yet another major pain point that results from having no real General Theory of Intelligent Systems @Dan_Jeffries1 The mistaken belief that centralized "models" represent operational Intelligence is flat out wrong. In every example of an Intelligent System, it is the complex interactions of many Nodes which produces its Intelligence. NOT the processing power of a centralized, monolithic "brain". We impose the false anthropomorphist concept of Intelligence as the property of discrete human brains and we get techno totalitarianism in place of anthro totalitarianism. Any individual human is as intelligent as they are today due to 100k years of human cultural evolution...trillions of interactions over thousands of years that accumulated into the Intelligent System of Humanity. Not getting this basic and, frankly obvious fact could be our ultimate downfall.

Inti AI for the rest of us. Launching soon!

@akshay_pachaar Going to try this soon in our forthcoming Inti Reader Lite. We're building "AI for the rest of us" on the edge

GitHub repo: github.com/supertone-inc/… (don't forget to star 🌟)

this TTS model generates speech 167x faster than you can hear it. Supertonic is an on-device TTS engine that runs via ONNX for cross-platform inference. - no GPU - 31 languages - captures every emotion - beats ElevenLabs on speed - runs even on a Raspberry Pi 100% open-source.

The most revealing thing about this AI leadership paper is that it reads less like a vision for innovation and more like a glossy whitepaper for a 21st century East India Company. Every generation of incumbents discovers a new moral vocabulary for why they alone should control transformative technology. In the 90s it was cryptography. We were told strong encryption was too dangerous to spread because terrorists, rogue states, chaos, dual-use, etc. So the US crippled exports, weakened products, slowed adoption, and kneecapped parts of its own software industry. Right up until reality steamrolled the policy and we woke up to its stupidity and then eCommerce, secure communications, software signing, and the modern internet exploded and gave us tremendous benefits. Now the exact same priesthood has returned with AI. - “Dual-use.” - “Strategic advantage.” - “Model distillation.” - “National security.” - “Responsible access.” A few different nouns but mostly the same ones. Same instinct: Centralize control, gatekeep compute, fuse state and corporate power, and call it safety. The funniest part is that this strategy is almost perfectly designed to accelerate the thing they claim to fear. You do not stop a rival superpower (who happens to be the absolute best at scaling energy and manufacturing and who has a choke-hold on rare Earths refinement) from building domestic capability by permanently attempting to strangle them. You create the economic and political incentive for total self-sufficiency. We have already done that as Jensen warned. We went from 100% market to nearly 0%. Huawei is now manufacturing millions of chips. DeepSeek v4 trained on them. They have more energy than the rest of the world combined. Meanwhile, we have activists and anti-economic fools like AOC and Bernie pushing for data center moratoriums and we can't build a single bullet train in 20 years and folks fighting to not expand the energy grid here and new nuclear plants getting tied up in environmental regulation for a decade. The sanctions did the exact opposite of what the hawks wanted. They jumpstarted a moribund, dinosaur of a Chinese chips industry. We basically said to the people who happen control the most powerful manufacturing engine on the planet "we intend to squeeze you." They rightly saw it as an existential threat. The sanctions become the industrial policy. Huawei. SMIC. Domestic lithography. Packaging. Memory. Entire Chinese supply chains that did not exist at serious scale a decade ago now exist precisely because Washington convinced Beijing they had no choice. Brilliant work. So the endgame here is what exactly? 1) Push China into a Manhattan Project for chips and AI. 2) Increase the strategic value of Taiwan even further. 3) Once China reaches self sufficiency that can invade Taiwan and choke off our own super advanced chips where are made there exclusively (and no we don't have even close to enough TSMC factories in Arizona or anywhere else in the world). That's every NVIDIA chip. Every Google tensor chip. Every Apple chip. Every chip in you iPhone and Android phone. Every Amazon chip. The chips in your car and truck and hair dryer and washing machine. 4) Escalate a cold tech war into a permanent civilizational bloc conflict that is likely to turn into a shooting war at one point. 5) Fragment the global software ecosystem. 6) Create American AI aristocracies protected by regulation and compute licensing. And somehow call this “open innovation.” Meanwhile the actual history of software keeps screaming the opposite lesson: Knowledge diffuses, open ecosystems win, developers route around gatekeepers, and attempts to permanently contain computation usually fail. What really jumps off the page is the assumption that a tiny cluster of frontier labs should become quasi-sovereign actors, deciding who gets intelligence, who gets compute, who gets models, and which countries are permitted to participate in the future. Not elected governments. Not open markets. Not open-source communities. A handful of corporations sitting beside the national security state, insisting that concentration of power is necessary to protect democracy. You almost have to admire the audacity.

Amazing how people cannot conceptualize outside the box of compartmentalized units of cognition. What one human brain can or cannot do is relatively unimportant. Human Intelligence is developed through and resides in the cultural intelligence of the species over time, not in single brain units.

Nick Bostrom says the human brain is not the ceiling for intelligence Our brains are small, slow, and limited by biology, while machines can scale far beyond those constraints "in the long run, cognitive systems could surpass not only any individual human, but even our collective intelligence"

@MLStreetTalk I only use it for light UI work now.

This is the final straw from Anthropic. Opus 4.7 had already made Claude so slow and token-inefficient that I couldn't use it for interactive coding work on my 20x max subscription. Now I can't even use it for my agentic ops work either. I'll be cancelling my subscription when this kicks in. The last six weeks or so have just been a litany of disasters. Luckily, Codex with GPT 5.5 is great. I'll just stick with that.

😂

Anthropic acaba de lanzar el empleado más barato y eficaz del mundo. Se llama “Claude for Small Business”. Y esto es lo que puede hacer: • Gestionar facturas, pagos y finanzas • Crear campañas, diseños y contenido • Organizar ventas y clientes automáticamente • Leer, resumir y redactar documentos • Gestionar emails, calendarios y archivos • Ejecutar tareas entre múltiples apps Todo desde Claude. Cómo funciona: → Conectas las herramientas que ya usa tu empresa → Claude entiende el contexto de todo tu negocio → Ejecuta flujos de trabajo automáticamente → Incluye automatizaciones ya preparadas → Funciona con Microsoft 365, Google Workspace, Canva, DocuSign, QuickBooks y más Anthropic no quiere que Claude sea “otro chatbot”. Quiere convertirlo en el sistema operativo de millones de pequeñas empresas. La idea es simple: En vez de abrir 10 herramientas distintas, hablas con Claude y él hace el trabajo por ti.

@rezoundous xHigh + Fast 24/7 till the wheels fall off or they ban me

Am I the only one using GPT-5.5 on xhigh all the time?

@KateXGate Everything is Triangle. The trinodal structural relation resolving domain entropy states.

Order From Chaos The Geometry of Emergence In the 1960s, Ilya Prigogine proposed something profound: Under the right conditions, chaos does not always destroy structure. Sometimes it creates it. He called these dissipative structures: A hurricane. Geometric convection cells in heated fluids. A living cell. Order arising through instability rather than despite it. ——— Researchers like Karl Friston and Michael Levin are now exploring adjacent principles in biological systems. Friston’s work on active inference suggests biological systems persist by constantly updating internal models against an unpredictable environment — stabilizing themselves through perception, prediction, feedback, and energetic exchange. Order is not static. It is actively maintained through recursive information processing across dynamic systems. ——— Levin’s work on morphogenesis and basal cognition suggests cells and tissues may function as distributed information-processing networks capable of memory, coordination, and anatomical problem-solving through bioelectric signaling. Stable biological form emerges not from centralized control… but from collective cellular communication organizing matter toward persistent anatomical states despite constant molecular fluctuation. In both Levin’s and Friston’s frameworks, intelligence begins looking less like a property confined to neurons… and more like an emergent process of dynamic self-organization across relational systems. >A brain maintaining identity despite neuronal turnover. >An embryo constructing stable anatomy from unstable substrate. ——— Perhaps intelligence is not fundamentally a thing. But a process by which matter organizes information across time under constraint. Not intelligence as object. But intelligence as topology: Relational geometry stabilized through energy flow, feedback, and adaptive coordination.

Too Far? Christopher Nolan Casts Steve Buscemi As Helen Of Troy buff.ly/1tw2h24

@anton_d_leicht All of this combines to drive AI to the edge. Centralized dinosaurs will become irrelevant when the world is trillions of distributed nodes producing emergent networked intelligence.

AI strategies everywhere hinge on widely available American frontier AI. Post-Mythos, amid compute crunches, security concerns and distillation crackdowns, that paradigm is under threat. Today, I argue the era of widespread access to frontier AI is almost over.