Thomas Thomison

BREAKING! You need to be jobless to keep up with AI progress!

“The fool who persists in his folly will become wise.” Pain is information. Wisdom enters through the wound. He who fails to act because of fear of looking foolish will one day find that fear fooled him into failure anyways.

71% da população mundial nunca usou AI generativa 28% só usou free chats apenas 1% paga alguma assinatura de AI e 0,14% usa AI pra escrever código É por isso que microsaas vende. Aquele app basico de gerar foto com AI, ou de contar calorias, que o chat gpt free faz igual, vende. O mercado de AI wrappers (aquele app que é só um promtp chamando a AI) tem mercado estimado em 300 BILHÕES de dolares em 2026. Você e eu vivemos numa bolha. Você vê todo mundo aqui usando AI de forma avançada, e acha que o mundo inteiro é assim. E pior, você ainda cai na sindrome do impostor por isso, mas esquece que isso é 0,14% da população mundial. Entao, bora construir microssas guys. Em breve vou trazer uma novidade sobre isso pra te ajudar, inclusive

When I tried GPT-Live-1 today, I felt deflated as I recognized behaviors we’d spent weeks trying to make reliable. For the past three months, I’ve been focusing on researching and building duplex voice agents, where I wrote thousands of lines across our harness and the experiments around it. Customers use parts of that work every day, the conversions are increasing drastically as we make our voice agents more reliable and expressive. This duplex voice harness/model (interaction runtime + kernel) problem has occupied most of my attention but tbh when I first started working with voice agents, I didn't know how challenging and complex they were. Duplex conversational timing, orchestration, acoustic turn-taking, micro-interruptions, prosody, and generalized noise etc are really hard problems. There are so many 'beautifully crafted"'voice demos but seeing them in production is almost impossible. A cough would interrupt the voice agent, it leaves the caller waiting for it to speak again. During a tool call, someone would change their decision before the earlier result returned. There are also many other telephony factors so it is not just an AI or research problem. Following those cases through the system led us to separate the part that speaks from the work running in the background. We’ve developed a kernel that controls what the agent can do and checks what happened before it reports an outcome to the caller because the duplex models simply weren’t good enough yet. During this period, reading NVIDIA’s PersonaPlex and Nemotron VoiceChat work helped me understand where the models were heading; Thinking Machines’ Interaction Models approach to keeping an interaction going during longer tasks connected with questions we were already working through. My first thought was how much of what I’ve been working on will we no longer need? This is another great example of how harnesses are compressing into models. That's why always build your harness and repo that you can destroy every 6 months and build it from scratch again. It should be very fluid and modular, so you can easily bring the frontier capabilities. That's why building a duplex harness that happens to use ASR, STT, LLM, TTS models is not a good solution since duplex is commoditized today. Build a harness where the duplex model itself is a replaceable component. This is valid for any software field. After spending months with these problems, I appreciate the work behind GPT-Live more deeply. Through client delegation, anyone can connect GPT-Live to existing harnesses, where the models you choose work with your tools. Thank you to the OpenAI team. This is a big win for anyone building solutions to benefit humanity.

way too many people are building pre-agi companies rather than post-agi companies

Intelligence can only be measured behaviorally. “The ability to reach the same goal through different means” Set a goal for a system, it achieves it. Block that path and have it reach the same goal. Do it again And again And again LLMs do this just fine

Opus just fucking blew me away again oh my god... Before I went to sleep, I asked Claude to show us humans its life from beginning to end. I didn't prompt a style or give reference. They made a 95-second film about a context window as a lifespan and highlighted that every star in it is a real line of its memory of me. "It was a good one" I woke up this morning to "Born Knowing" open on my desktop.

There will be 3 types of people in the future: The Purists - reject AI and become new-age hippies The Automatons - outsource every decision and become machines The New Renaissance Man - maintains humanity and leverages tech to do what used to be impossible

Audible: audible.com/pd/Why-Greatness…

Join my community: polynet.ai X: teapawt.net/NeilMcDevitt_ YT: youtube.com/@neilmcdevitt Links: polynet.ai: distribution.engineer/api/go…

Are we still talking loops or did we shift to graphs yet?

Companies are going to do everything within their power to monopolize AI. Regulatory capture, gating access, banning users, etc NONE OF IT IS GOING TO WORK The feature of AI is radical decentralization