AI Post — Artificial Intelligence

I guess it's only a matter of time before humanoid robots start teaming up as bandmates with human musicians. AI Post ⚪️ | Our X 🏴

NOETIX has developed bionic humanoids that could serve as receptionists or guides in museums and other public spaces. Would you want to see a humanoid like this in public? 🤔 AI Post ⚪️ | Our X 🏴

Tesla said it has begun testing driverless robotaxis in Texas, marking another step in the company’s autonomous driving efforts. Investors reacted quickly to the announcement, sending Tesla shares to a new all-time high. Attention is now turning to where Tesla might expand next, with Elon Musk known for eyeing unconventional and potentially high-growth markets. @aipost 🏴

🖼️ ChatGPT gets a built-in image editor with fast, precise visual edits What’s new • OpenAI added a dedicated Images section inside ChatGPT. • It works as a standalone photo editor directly within the AI interface. • Powered by a new image model that runs ~4× faster than before. Key capabilities • Remembers how a person or object looked in previous frames, keeping visual consistency. • Accurately follows prompts instead of distorting the whole image. • Allows targeted edits: pose, lighting, clothing, background without breaking the rest of the frame. Why it matters • Image editing shifts from “prompt-and-hope” to controlled, granular changes. • Makes AI image tools practical for real workflows, not just experimentation. • Already live for all ChatGPT users. This is a quiet but meaningful step toward ChatGPT becoming a full creative workspace, not just a text-first AI. @aipost 🏴

OpenAI Introduces ChatGPT Images, powered by our flagship new image generation model. - Stronger instruction following - Precise editing - Detail preservation - 4x faster than before Rolling out today in ChatGPT for all users, and in the API as GPT Image 1.5. Source. aipost.ai ⚪️

🔥 AI will accelerate drug discovery 1000's fold "Researchers use AI and Reverse Vaccinology 2.0 on human blood samples to identify a potential new mpox (a viral infectious disease caused by the mpox virus) target, and use the target in a vaccine that elicited mpox-neutralizing antibodies in mice" AI Post ⚪️ | Our X 🏴

The R2-D2 robot. Connected and smart. Some use cases: play with your kids, surveil the house at night, welcome guests. AI Post ⚪️ | Our X 🏴

🗣 Yann LeCun explains that large language models are trained on about 30 trillion words, representing nearly all public internet text. He says it would take a human over 500,000 years to read that much. But a 4-year-old child sees just as much visual data in their first few years of life. This shows how much richer and more complex real-world experience is compared to reading text. Training on the web is huge but it still doesn’t match what a child learns just by living. AI Post ⚪️ | Our X 🏴

⚡️ Resemble AI introduced Chatterbox Turbo, the fastest open source Voice AI model with emotions. ResembleAI allows you to clone ANY voice without verification using on 5-10 seconds of audio, and dominates on paralinguistic tags for human-like expressions. Chatterbox Turbo delivers: • <150ms time-to-first-sound • State-of-the-art quality that beats larger proprietary models • Natural, programmable expressions • Zero-shot voice cloning with just 5 seconds of audio • PerTh watermarking for authenticated and verifiable audio • Open source, full transparency, no black boxes Try it on HuggingFace: https://huggingface.co/spaces/ResembleAI/chatterbox-turbo-demo AI Post ⚪️ | Our X 🏴

LimX's new humanoid robot, Tron's evolution: Tron2, features dexterous hands with two arms and a head... it looks flexible and agile, ready for future tasks. However, it looks more like a humanoid data acquisition system. AI Post ⚪️ | Our X 🏴

📈 Howard marks on the AI bubble: Euphoria, uncertainty, and capital at risk Howard Marks, co-founder of Oaktree Capital Management and one of Silicon Valley’s most influential investors has weighed in on the AI boom. In a recent memo titled “Is It a Bubble?”, Marks examines the most overheated corners of the AI market and asks a question investors have been circling for months. Rather than offering a binary answer, his argument is more nuanced: AI may well be transformational, but the market behavior around it shows clear signs of excess. 15 key theses from Marks’ memo

• Bubbles are driven by psychology, not technology. Breakthroughs don’t create bubbles, human behavior does. • Debating whether something is technically a bubble misses the point. What matters is how investors are behaving. • Marks’ own view is deliberately dual: investors are clearly overexcited about AI, yet AI may also be the most important technological development in decades. • Not all bubbles are equal. Some are “meaningless” and leave little behind; others are “inflationary,” permanently reshaping the economy as the internet did. • Even productive bubbles can accelerate innovation while destroying most of the capital invested in them. • AI already dominates market narratives, driving massive capex, infrastructure build-outs, and expectations of future growth. • The biggest unknowns remain unresolved: what AI will truly be capable of, when those capabilities will mature, and how they will be monetized. • It is still unclear where long-term value will accrue chips and cloud providers, application developers, or end users. • AI markets tend to be winner-takes-most: many losers, very few durable winners. • Risk escalates sharply when growth starts being financed with debt rather than equity. • Debt works best with predictable cash flows; technological uncertainty belongs on equity balance sheets. • Infrastructure is a particular risk: data centers and hardware may become obsolete before they pay for themselves. • The growing use of SPVs and off-balance-sheet financing obscures the true level of leverage in the system. • If AI capex proves to be structurally “above normal,” excess capacity could lead to price pressure and painful capital reallocation. • Dot-com comparisons are unavoidable and imperfect. There are strong arguments on both sides, but certainty is impossible in real time.

The core conclusion: Marks stops short of calling the AI boom irrational. The enthusiasm is real, but so is the potential. As history shows, bubbles are usually obvious only in hindsight. His final point is almost philosophical: sophisticated markets resist simple answers. High-IQ investors, research suggests, are more tolerant of uncertainty they don’t bet everything on a single outcome, but weigh probabilities and manage risk accordingly. That may be the most actionable takeaway of all. Context note: Goldman Sachs data shows that during 1988–2000, the P/E ratios of Microsoft, Cisco, and Oracle were several times higher than those of today’s Nvidia, Microsoft, Alphabet, Amazon, and Meta, suggesting today’s valuations, while elevated, are not without precedent. AI Post ⚪️ | Our X 🏴

🗣 ELON MUSK: "If civilization continues, A.I in space is inevitable. In order to achieve any meaningful percentage of a Kardashev II scale civilization where you're using even a millionth of the sun's energy, you must have solar powered AI satellites in deep space. My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative." AI Post ⚪️ | Our X 🏴

Robot core. AI Post ⚪️ | Our X 🏴

Unsupervised Tesla Robotaxis are driving on the streets of Austin, TX! There is no safety monitor inside the vehicle. Tesla has solved self-driving. AI Post ⚪️ | Our X 🏴

📈 AI debt is fueling the global corporate debt surge: US AI-linked bond issuance rose +$145 billion YoY, to a record $220 billion in 2025. This is equal to the combined total issued over the last 3 years. Including loans, technology corporate debt issuance jumped to $270 billion, the 2nd-largest on record. US AI-linked debt was the biggest driver of rising global corporate debt this year, according to IIF. As a result, world non-financial corporate liabilities are close to $100 trillion, an all-time high. The AI financing boom is reshaping global debt dynamics. AI Post ⚪️ | Our X 🏴

🗣 Nvidia CEO: "The problem is this. We're at the beginning of this technology buildout. I'm improving the performance by a factor of 10 times each year, but demand is going up by a factor of 10,000, a million times each year. AI is getting more compute intensive, adoption is going way up." AI Post ⚪️ | Our X 🏴

Robert Kiyosaki believes there’s an AI bubble and it’s going to cause the biggest financial crash in history in the next 3-4 months. AI Post ⚪️ | Our X 🏴

🥺 Altman’s reflections on OpenAI’s 10th anniversary.

“OpenAI has already achieved more than I ever dreamed possible. We began with an ambitious, almost outrageous goal. Through relentless work, it now feels like we have a real chance of achieving it. Ten years is not a long time to bend the arc of history. Everyday life may not look radically different from a decade ago, but the range of possibilities opening up today is entirely unlike what it was when we were just fifteen geeks trying to make something work. In the early days, few people understood what we were doing. But we were deeply convinced that the idea mattered enough to dedicate ourselves fully to it. We built an extraordinary culture one that encouraged discovery and repeatedly overcame obstacles. We became pioneers in the practical creation of safe and reliable AI, and that DNA remains at the core of the company today. In 2017, we reached several foundational breakthroughs successes like Dota 1v1 and the discovery of the unsupervised sentiment neuron. We knew then that these ideas needed to be scaled with massive computing power. We kept pushing the technology forward, and three years ago we launched ChatGPT. The world paid attention. After GPT-4, that attention intensified even further; suddenly, AGI no longer seemed like a fringe or unrealistic concept. The past three years have been extraordinarily intense full of pressure and responsibility as this technology has entered society at an unprecedented speed. Growing from almost nothing into a large organization during that time was anything but easy. I’m proud of how many right decisions the team has made. One of the best was releasing early versions of the technology so people could build an intuitive understanding of it, allowing society and technology to evolve together. After ten years, we now have AI systems that perform many tasks better than the smartest people on Earth. I’ve never felt more optimistic. I believe that within the next decade, we will almost certainly create AGI. Our mission is to ensure that AGI benefits all of humanity. There is still enormous work ahead but I’m proud of the path our team is on.”

— Sam Altman, marking a decade of OpenAI AI Post ⚪️ | Our X 🏴

An interesting illustration of the different camps within AI. The survey below includes overlapping options. The point isn’t to predict what will happen, but to capture the feeling that dominates you right now even if it changes in five minutes or a few days. AI Post ⚪️ | Our X 🏴

The reason Google didn't release their chatbot, allowing OpenAI to be the first to widely use it, was that they thought it was too stupid? 🤔 In other words, they were worried it would damage the company's reputation. This was probably one of the most serious misjudgments of decades, because it gave OpenAI free market dominance for many years and made the term "chatbot/AI" synonymous with "ChatGPT" for the average user. AI Post ⚪️ | Our X 🏴