Jayanth Ramesh @jayanth22

@freddiexpott Data

More SF observations: 1. Seeing the word "inference" on billboards in SF still blows my mind. 99.9% of america has no idea what inference is and I wonder how many know what an agent is. Will Muse, Instinct, Dots etc will change that over the next 12 months? 2. You know who doesn't get enough credit? Manus. In March 2025 they shipped the blueprint for AI agents: every task gets its own computer in the cloud, you can watch it work, it writes a todo list and checks it off, and you walk away while it finishes. So much of what we use today runs on those ideas! 3. Your product now has to sell itself twice. First the agent has to pick it, then the human has to trust that pick enough to say yes. 4. I was talking to a guy who told me we should just destroy all the data centers. I think that sentiment is more common than people in SF realize. You can already see some of the big AI companies adjusting positioning their AI as something that helps people and gives them more time/cures for cancers etc. 5. AI is making people work 5x faster (at least), so for freelancers/agencies that charge per hour you're earning 5x less per unit of work. But your rate is the same? I think a lot of freelancers and agencies are about to have to rethink how they price. 6. Running a company now feels kinda dystopian sometimes, especially with a small team of a few humans and a lot of agents. Some days the Slack channel is mostly bots reporting to each other, and you're the only one in the room with a pulse. 7. Every product company is turning into a product studio. I see it firsthand as a co-founder of @meetLCA , which is basically a Labs as a Service company incubating new products for companies. (DM me if you want to work together in 2027). 8. Personal software is exploding. People at every company are building their own little tools for their own jobs. It's amazing for productivity and a nightmare for IT, because nobody knows what's running or who owns it. 9. Revenue per human is the new flex. Founders used to brag about headcount. Now they brag about how much they're doing with how few people. 11. More founders are using agents for customer research. Agents run the interviews, read every support ticket and summarize what people are begging for. Synthetic market research is the new thing. 12. Shipping technology that actually takes 3-6 months with unique partnerships that are hard to replicate. So, partnerships are sooo back! 13. Insane amount of young people (22 or younger) making absurds amounts of money. At least it feels that way. Never seen anything like that, even during mobile era. 14. Only 2% of the US is paying for AI products, but it feels like 110% SF is. 15. Advice for college grads used to be “follow your passion” and now it’s follow careers that are not document- driven, rules-bound and verifiable 16. Seeing the word inference on billboards in SF still blows my mind. 17. Agents paying for things feels futuristic. I think its coming, only a matter of time, but I’m wondering when it becomes mainstream. 2027? 18. Lots of talk about proactive agents being the next phase of personal agents. Right now you ask your agent to do something. In 2027, it’s all going to be about noticing things (context/memory) and acting first. "Your flight got delayed, I already rebooked you." 19. The quote "what the smartest people do on the weekend is what everyone else will do during the week in 10 years." by Chris Dixon. It feels like that length of time isnt 10 years anymore, its 12 months. 20. This is the most asymmetric window I've ever seen in business. My DMs are open. Respond to the most interesting ones. Loved my trip to SF. Until next time. Maybe NYC next? Thank you for everything. I'm rooting for you.

GREG ISENBERG @gregisenberg

a week ago

I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies. My observations: 1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble,

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these are defining characteristics of genius btw

CG @cgtwts

a week ago

anthropic’s lead engineer btw.

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@termsheetinator 63

@Jacobsklug Playbook

@freddiexpott Lab

@seanlongden Send

"explain how Shazam works" I had no idea Karpathy is so right about this custom explainer videos will change education

Andrej Karpathy @karpathy

3 weeks ago

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for

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holy sh*t. Sam Altman shows his personal dots setup one dot. one job. it works the night shift so he doesn't have to: -> reads everything that came in overnight: email, calendar, Slack, DMs -> sorts it into urgent vs can wait, based on how he likes to work -> drafts the replies and sends nothing -> checks every action against his custom rules: proceed, ask him, or hand it off -> before his day starts he gets one ping with only the urgent stuff, drafts attached -> it reaches him in ChatGPT, Slack, Teams or by call -> whatever he edits or ignores goes back into memory runs 24/7 on its own cloud computer, through plug-ins he already connected how i'd copy it: > one job first > read-only for a week > sending always asks > correct it out loud included in Pro, Business Premium and Enterprise give yours the night shift tonight

NO1ennn @N01ennn

3 weeks ago

x.com/i/article/2105…

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@freddiexpott Plug

The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker. It’s hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all. Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call. I’m so incredibly proud of this team and what they’ve built.

Tavus @tavus

3 weeks ago

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

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Introducing dots, powered by GPT-6 Astra. Remarkably capable, always-on agents built to handle everything.

@mikefutia Nano

@rom1trs editor

@_adishj Freegen

Be the first to enjoy Nano Banana Pro in CapCut🍌 Enjoy free trials with AI Image, AI Design and AI Effect. Next-level AI image model with realistic physics. Generate images you never imagined in CapCut! RT to get 1000 credits in your DMs (9h)

Dear Wokes, please see this video. #IndiaPakistanWar

Not a meme, but an emotion. Salute to Indian Army. #IndianArmy | #IndiaPakistanWar | #OperationSindoor2

@hamplda Leads. Thanks

Demonstrate Tesla self-driving to a friend tomorrow. It feels like magic.

Whole Mars Catalog @wholemars

2 years ago

Here's Tesla FSD 13.2 driving for an hour and 40 minutes through LA traffic with zero interventions. I know watching a video of my car sitting in traffic may not be very exciting, but imagine what a life changer this is for people who do this commute every day.

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