Watch the whole series for free on YouTube... youtube.com/playlist?list=PL… #josephcampbell #powerofmyth #mythology #consciousness #jcf #josephcampbellfoundation

Jensen closed his GTC Berlin 2026 keynote with this Hermes Agent demo as the finale. He introduced it by saying the way to build an agent is to ask an agent to build it for you, so he installed and set up a customized Hermes in one prompt. Then he used Hermes, running on @nvidia RTX Spark, to create a simulated training environment for the @huggingface Microduck. Hermes planned an obstacle course with Nemotron and had GPT-6 Astra build it using FreeCAD, Omniverse libraries, Blender, Newton, and Isaac Lab. Hermes trained thousands of simulated ducks on that course until the validated policy was ready to run on the real robot in the physical world. At Nous, we believe open source is a practical tool as much as a philosophical ideal. It gives users the ability to build powerful, complex workflows chaining numerous local+cloud models, devices, and tools themselves instead of waiting for a company to enable them.

ELON MUSK: SpaceX took the team that dominates space and “applied that same team to the deployment of terrestrial compute.” “This is a bit like the New York Yankees playing in little league. It’s not fair.” SpaceX puts almost 90% of all mass into orbit. China is roughly 6%. The rest of the world combined, including the rest of the U.S., is about 4%. That’s “an order of magnitude greater” than all its space competitors combined. Now that team is deploying power, cooling, and infrastructure “vastly faster than anyone else, and may at some point be faster than everyone else combined.” “Let that sink in for a minute.”

Why it's important to know Assembly

The new XPRIZE on Interspecies Communication, with a $10M purse will launch next month. It will challenge teams to demonstrate ethical, verified two-way communication with wild animals, advancing coexistence and cooperation. Dr. Irene Pepperberg spoke to us today about her pioneering work with grey parrots, training them in English to perform many tasks at 6-year old human skill level. “Clearly, animals know more than we think and think a great deal more than we know.” It wasn’t easy when she started. The feedback to her first grant review: “what are you smoking?” And now, her parrots ask questions and learn from the answers. They ask for what they want. She has taught her parrots 100 English labels for objects and materials, exact quantities up to 8 (and addition and subtraction), colors, shapes, materials, concepts like same/different, absence, a zero-like concept (absence of a set, on his own, with no training), relative size comparisons, optical illusions, and they make new word combinations (calling the banana chip “banacker” for a banana cracker). They have a visual working memory (tracking moving cups) that beats adults with 4 swaps. They do inference by exclusion (when you show where food is not located, they figure out where it is). Bird brains look very different at first, a smooth unfolded organ with no cerebral cortex, but further research found a relatively large cortical area similar to non-human primates in relative size and connectivity. They have a dense processor, doing same thing as human children. “Bird brain should be a complement,” she concluded.

AI Agents found 1980s technology And Built A $26 Chip-Design Swarm! The Silicon Compiler Comes Back As An AI Agent Factory: Mead And Conway's 1980 Revolution, And IBM's $26 Chip-Design Swarm. Read more below:

New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale. Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: anthropic.com/engineering/re…

SpaceX has just released a new look at what their 1 million Starmind satellites constellation might look like (dots do not represent true size of sats). SpaceX VP @michaelnicollsx said today: "We need to operate clusters of satellites in tight formation to get enough coherent compute to run AI models efficiently. A cluster will be 10-ish satellites connected with 10 terabits or so of bandwidth between them, and interconnected to the broader constellation."

A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life. At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday." He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy. Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system. He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting. He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way." The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.

After six years in stealth, Atomic Machines is out. Our mission: on-demand, universal command of matter. First beachhead: the Matter Compiler, an AI-native manufacturing system that builds working micro-machines from code alone. No per-product tooling. No process development. Different code, different machine.

We announced an agreement to acquire a nationwide low-band spectrum license portfolio that will pave the way for @Starlink to become a major mobile carrier in the US. With this new spectrum and our Gen2 constellation, Starlink Mobile can ensure Americans have access to high-speed mobile broadband no matter where they are → spacex.com/updates#starlink-…

Very happy to announce that our team @GoogleDeepmind has pushed the boundaries of generative biology, achieving the successful synthesis of AI-designed proteins that are both functional and watermarked. This proof-of-concept watermarking of the building blocks of life is enabled by SynthID Bio, our new protein watermarking method. It is designed to safeguard the new era of AI-powered generative biology and strengthen global biosecurity. You can read my thoughts here on why watermarking AI-designed proteins is an important research breakthrough: xitter.cf/pushmeet/status/210531…

Elon Musk's new full interview on superintelligence with Jensen Huang, Gavin Baker, and Tom Brown. 0:04 Go America 0:07 How America wins superintelligence 0:42 Jensen: SI reinvented the whole compute stack, energy is first 2:53 Elon, how do we win? 3:01 Elon: scale power + chip fab, China has 3x US electricity 4:00 We need the Wright brothers on the job 4:02 SpaceX 10 GW = ~25% of all new US power 4:24 Elon: US is ~500 GW. Every 5 GW = 1% more power ≈ 1% GDP 5:29 Jensen: each GW ≈ $40–50B of economic output 5:45 1% of the US = $300B 5:52 Elon: 5 GW = $300B. $60B per GW 6:16 Elon: orbital compute. SpaceX + Tesla targeting 200 GW/year solar 7:24 Jensen: launch cost is worth it, put NVIDIA compute in space 7:45 Climbing the Kardashev scale / data centers and small towns 8:24 Jensen: these are SI factories, not data centers. ~1 million jobs 10:08 Colossus and MacroHard 10:21 Elon: job shortage, doubled local taxes, $250M water plant, half-price Starlink 11:10 Jensen: market is funding nuclear, fusion, storage with no subsidy 11:47 Combined $5T+ of 401k wealth for ordinary Americans 12:09 Elon: Jensen $5T by himself, Elon ~$3.5T 12:23 Starship first orbit + NVIDIA open agent safety 12:52 Jensen: OpenShell containment + BlueField monitoring 15:17 Same playbook as making the internet safe 15:38 Safety and advancing SI are the same thing 16:08 Elon, Monday’s Starship flight 16:19 Elon: first orbit, Starlink V3, 737 wingspan, biggest payload since Skylab 16:51 Tom Brown walks in 17:20 Elon: 1M tons to Moon/Mars + 200–300 GW/year of AI compute 18:06 What can Opus 5.5 do for ordinary Americans? 18:32 Tom: longer tasks + a flood of AI-written software 19:39 SI finding life-saving drugs 20:09 Jensen uses Claude: 8-hour research becomes a 3-minute report 21:19 Elon, what does SI do for ordinary Americans? 21:32 Elon: AI catching bad diagnoses. People would have died 22:19 Should SI be imbued with American values? 23:00 Jensen: SI is a tool. The steak-knife / judgment problem 24:26 What came out of the White House lunch? 24:42 Elon: joint SI safety declaration. Grade each other’s homework 25:12 Jensen: internal controls, external audits, industry best practices. POTUS pulled it together

This is pretty amazing + historic BRAVO to all @spacexai engineers + crew

THE ONLY REASON Antropic and OpenAI exists is because of the work of this man. What a breath of fresh air. Listen to @JensenHuang leave these hosts speechless as he deconstructed AI fear theater calmly and cogently.