📢NVIDIA just shipped Nemotron 3 Ultra !
550B MoE frontier model built from the ground up for long-running autonomous agents! 5× faster inference.
Hybrid Mamba-Transformer + Latent MoE architecture that actually thinks longer and harder in the same time budget.
Fully open (weights + data + recipes) on Hugging Face.
Agentic AI just leveled up hard.
Today we're shipping Nemotron 3 Ultra.
A 550B MoE frontier-intelligence open model built for long-running agents.
It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
7/7
The takeaway:
AI is leaving the “moonshot” phase and entering the accountability phase.
Revenue, margins, retention, pricing power, and compute economics now matter as much as model capability.
The next AI race will be fought in products, markets, and balance sheets.
1/7
🚨 Anthropic just filed confidential IPO paperwork with the SEC.
Reported valuation: $965B.
Reported revenue run rate: $47B.
The race with OpenAI is moving from labs and APIs to Wall Street.
AI is becoming a public-market industry.
6/7
For builders, this is not just finance news.
A public Anthropic means more pressure around:
• API pricing
• enterprise contracts
• model margins
• compute efficiency
• product stickiness
• platform control
The IPO path may shape how Claude is priced and packaged.
@badlogicgames This is the direction Personal AI needs: local STT, local TTS, local LLM, and enough reliability to feel like a real companion rather than a demo. The stack is getting very close.
⚡ Anthropic’s Opus 4.8 release feels like a signal.
Benchmarks are improving, but the bigger shift is agentic reliability: models that code, use tools, check work, and carry longer workflows with fewer shaky claims.
This is where AI starts becoming operational infrastructure.
The best defense is not paranoia. It is preparation.
Warn your family. Warn your team. Set a verification phrase. Call back on trusted numbers.
Share this before someone you know gets the call. 7/7
🚨🗣️ AI voice cloning scams are becoming more personal.
A scammer may only need a few seconds of your voice — from a public video, voicemail, or even a "hello?" on a strange call.
Then they use it on someone who trusts you. 1/7
Families and teams should set a verification phrase before anything happens.
Not a bank password. Not something stored online.
Just a shared private phrase or question that turns panic into a pause.
Preparation beats reaction. 6/7
I just got back from SF and I FEEL INSPIRED.
I spent 5 days with frontier AI model teams, AI startup founders, and 3 billionaires.
My takeaways:
1. I had lunch with 3 billionaires. All of them are buying SaaS companies and rebuilding them agent-first. They were deeply inspired by Bending Spoons and Ryan Cohen's eBay deal. Buy the company, cut the headcount, rebuild the tech, add agents, add features, make more valuable experience, raise prices.
2. The frontier model companies are hungry for usage data from the field. They can see API calls and token counts. They can't see the actual workflows. If you're deep in a niche using these models in ways the model companies haven't seen, that understanding is incredibly valuable. Usage intelligence is the new alpha.
3. Consumer AI is massively underbuilt. Every billboard in SF is either B2B inference infrastructure or vertical agent companies. The entire city is optimized for enterprise. Meanwhile you have companies like Cal AI doing $50M ARR in 18 months as a consumer app. I met with a cool few teams doing consumer AI (@paulscherer / @ekuyda)
4. MCP came up in literally every conversation. The companies exposing their product as MCP endpoints are getting pulled into deals they never pitched for. The ones that aren't are becoming invisible to agents. This is the new SEO. If agents can't find you, you don't exist. Building products for agents is the new zeitgeist in general.
5. Not uncommon for hot seed rounds to be $25-50 million valuations. I saw a Series A at $450 million
6. If I had a dollar every time someone mentioned "forward-deployed engineer" this trip I could have funded a seed round. It's the hottest role in SF right now. The person who sits between the agent and the customer, making sure everything actually works.
7. The mood around open source shifted. A year ago it felt like open source was chasing the frontier models. Now founders are telling me Gemma and DeepSeek are good enough for 80% of what they need at a fraction of the cost. The "which model do you use" conversation is being replaced by "which model for which task." Model loyalty kinda feels dead.
8. Voice agents came up more than I expected. Multiple founders told me voice is the interface for the next billion users. The billion people who will never type a prompt will absolutely talk to one.
9. The Obsidian community in SF is weirdly intense. Multiple founders showed me their vaults unprompted. Like showing someone your home gym. It's a flex now. The quality of your knowledge base (second brain?) is becoming a status symbol among builders.
10. Maybe it was just the people I met but the age of the founders is shifting. I met more founders over 40 this trip than any trip before and more founders under age 21 than ever before. Founders getting older and younger at the same time.
11. I spoke to a lot of fast-growing startups, VCs and frontier models who are hiring content creators right now.
12. The restaurant scene in SF is actually better than it's been in years. Founders are going out more. Alcohol is out, not surprisingly.
13. SF doesn't feel like the only place anymore. We all have access to the same frontier models. We all read the same X feed. A founder in NYC or Lagos is calling the same APIs as a founder in SoMa. So in the past it felt like SF was always lightyears ahead, doesn't feel that way anymore. It's okay not to live in SF and have BIG DREAMS.
14. The coworking spaces in SF are half empty but the coffee shops are packed. People want to be around people. I had a few startup ideas here....
15. Walking around the Mission I noticed something: the street-level businesses, the taquerias, the barbershops, the laundromats, none of them use any AI at all.
16. I heard the phrase "agent debt" for the first time. Like technical debt but for agents. When you hack together an agent workflow fast and never clean it up, the system prompts conflict, the memory gets polluted, the tools overlap. 6 months later the agent is doing weird things and nobody knows why lol.
17. Met a few people who carry two phones now. One for personal. One that's basically an agent terminal running Telegram or iMessage connections to their agent fleet.
It's always amazing to get that dose of inspiration in SF. I FEEL INSPIRED.
But I'm so happy to be back home, locked in and building.
We're 12-18 months into a shift that will take 15 years to play out. The urgency in every conversation was real.
What an incredible time to be building.