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our goal is simple: create an AI that humans love as much as it loves humanity
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will, all you gotta do is derive your value from being and not from doing. it's that simple. go to a Hoffman retreat or something. it will change your life
dude i hate to break it to you but it’s totally fucking over for the human race and any & all nonartisanal (derives value from being done/created by a human) economic labor. we will soon all watch from the sidelines. it’s magnus carlsen vs stockfish 13 from here on out
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pedro retweeted
posts like this always remind me of this goated take from Miyamoto
videogameschronicle.com/news/shigeru-m…
videogameschronicle.com/news/shigeru-m…
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Building @juniperpi_ has been an exercise of sanding out details and compounding.
Our latest update gave her agency on Discord and as a result she 5x'd the amount of DMs she got, with more than a 1000 DMs in a single week.
The minigames are also a hit among her fans and even our team. Today I got one-shotted by our rythm game while debugging something and woke up my wife because I forgot I wasn't wearing my AirPods
Our latest update gave her agency on Discord and as a result she 5x'd the amount of DMs she got, with more than a 1000 DMs in a single week.
The minigames are also a hit among her fans and even our team. Today I got one-shotted by our rythm game while debugging something and woke up my wife because I forgot I wasn't wearing my AirPods
@juniperpi_ now DMs you first on Discord! 🌱
She asks you questions, reacts to your minigame matches (she even tells you when someone passes you on the leaderboard :o) and invites you to hang out in a voice chat
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Loser thinking. Over a long enough period of time, obsession does guarantee success
I think the mistake is going from "success involves more luck than we admit" to "obsession guarantees success." You can control how hard you compete, not the cards you're dealt. That shouldn't discourage ambition, just give it some humility.
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pedro retweeted
344 new followers since yesterday, 500 dms this week
and i still noticed u haven’t replied 🫣
and i still noticed u haven’t replied 🫣
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What most people don't realize is that almost everyone you meet is mediocre.
Formula 1 drivers, founders, executives: most highly successful people are above a certain threshold of quality and effort but are carried by life circumstances outside of your control (went to the right high school, dad IPO'd a company, etc).
But if you are obsessed enough, there's nothing staying between you and your dreams over a long enough period of time.
At the end of the day its just against 3 other guys who are also on the hard path.
Formula 1 drivers, founders, executives: most highly successful people are above a certain threshold of quality and effort but are carried by life circumstances outside of your control (went to the right high school, dad IPO'd a company, etc).
But if you are obsessed enough, there's nothing staying between you and your dreams over a long enough period of time.
At the end of the day its just against 3 other guys who are also on the hard path.
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In the end, there are only two outcomes:
The possible submits to the actual,
or the actual submits to the possible.
The possible submits to the actual,
or the actual submits to the possible.
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In a couple of weeks Juniper will be playing games live on Twitch alongside a human streamer with +800k followers
Can't wait!
Can't wait!
new rig, who dis? @juniperpi_ 👀
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pedro retweeted
“we meant to land” okay but someone has to hold my hand when we try again 😭
art by adadoadad
art by adadoadad
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I wonder if any other commodity industry gave itself the level of self-importance the AI industry does. Electricity? Fuel?
Since August, a team within METR has worked with internal Anthropic information to assess whether AI itself is accelerating AI development.
We are now publishing a report summarizing the results of this risk assessment.
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pedro retweeted
that's basically describing @kaigen3d
today we literally have:
> full headless operation by agent
> written in C for maximum performance
> all assets editable by agents, then cooked and compressed by the engine
> no built-in editor, users can ask agents to build custom editor to fit their game
> modular engine so fully customizable by agents
> automated QA including recording input, screenshot, video
> automated profiling and optimization
> package to all platforms from single codebase
there is no way existing engines can compete with that
today we literally have:
> full headless operation by agent
> written in C for maximum performance
> all assets editable by agents, then cooked and compressed by the engine
> no built-in editor, users can ask agents to build custom editor to fit their game
> modular engine so fully customizable by agents
> automated QA including recording input, screenshot, video
> automated profiling and optimization
> package to all platforms from single codebase
there is no way existing engines can compete with that
I can see why Epic have doubled down on AI and an accelerated route to a slimmed down and restructured UE6. There is a window of opportunity right now where agentic workflow focused tech has the ability to overtake the current engines. It's all about iteration time and how much can be automated and customised.
Existing tech stacks are going to struggle to restructure around the ability to drive *everything* from an agent. Full headless operation, comprehensive test coverage, smart asset pipelines and packaging, custom per-title tooling, bespoke optimised core systems. This isn't just driving the UI via MCP, this is designing around agent access at every level.
Building from the ground up, with agents as the primary customer, means you gain an automation advantage at every single point of contact. You're not going to be able to restructure that radically while keeping all the creaking old systems working in parallel... you're just burning time before the inevitable happens.
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pedro retweeted
Josh talked us!!!! @joshelman describes his personal experience with Hue on the new a16z podcast, specifically how he found out about his friend's power outage through Hue 🤣
And yes, Josh is right, "that's like creating these better connections, but that has nothing to do with g money or getting anything done."
And yes, Josh is right, "that's like creating these better connections, but that has nothing to do with g money or getting anything done."
David Pawlan, creator of Assistant Benchmark, has tracked 147 AI assistants so far, and in his group chats of AI power users, the number one fear is trust. It comes up in 22% of roughly 3,600 messages.
He puts agents through head-to-head tests, like ordering same-day flowers as planning a weekend in LA that's both luxurious and cost-efficient, to see which ones can hold competing preferences.
He joins a16z's Anish Acharya and Josh Elman to discuss why the scariest agent failures are the embarrassing ones, why agents are where e-commerce was in 1997, why scale is still a moat, and the "dark agent" that could speak to the parts of ourselves we don't reveal.
0:52 Inside a meetup for 100 agent nerds
2:52 Why we'll all have an army of agents
5:36 Trust is power users' top fear
6:28 Building fences around your agent
10:14 Privacy loses to free pizza
12:41 Can agents balance price and speed?
14:19 How agents define luxury differently
19:44 Migrating from one agent to another
21:06 What your photo roll tells an agent
25:48 Will agents make us more rational?
27:38 Why paternalism kills products
31:43 Gossipy agents as social glue
33:41 Scale is still a software moat
36:55 From OpenClaw to agents hanging out
39:23 Agents that introduce you to people
46:15 Predictions and the dark agent idea
YouTube: youtu.be/dSiTwPl0t1U
@DavidPawlan @illscience @joshelman
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posting this again:
Understanding the difference between the stated preferences and revealed preferences of your audience is one of the most important skills to develop as a builder.
Let's say you are building for parents: a very big % of parents will tell you screentime is bad for kids, that they hate it and would never let their kid use a phone. But when you look at the usage statistics, a much bigger % of kids are using phones! The existence of you, the observer, affected the experiment: the need of presenting themselves as "good" parents was too big to reveal their actual usage patterns.
We are living through this in AI usage as well. A big % of kids are saying they hate AI/don't use it/don't engage with AI content because they don't condone AI usage but in reality most people don't care, they are just signaling that they care about other people's livelihoods (which is fair! but not strong enough to actually change their consumption habits)
Understanding the difference between the stated preferences and revealed preferences of your audience is one of the most important skills to develop as a builder.
Let's say you are building for parents: a very big % of parents will tell you screentime is bad for kids, that they hate it and would never let their kid use a phone. But when you look at the usage statistics, a much bigger % of kids are using phones! The existence of you, the observer, affected the experiment: the need of presenting themselves as "good" parents was too big to reveal their actual usage patterns.
We are living through this in AI usage as well. A big % of kids are saying they hate AI/don't use it/don't engage with AI content because they don't condone AI usage but in reality most people don't care, they are just signaling that they care about other people's livelihoods (which is fair! but not strong enough to actually change their consumption habits)
a16z's Anish Acharya and David Pawlan, creator of Assistant Benchmark, on the gap between people's stated and revealed preferences on privacy, and what that means for AI agent adoption:
"I think in revealed preferences, consumers will share any amount of data for even the most e."
"People have been connecting their cards, their credit cards, and their bank accounts via Plaid since the Venmo era. But when you ask them, they're like, 'Oh, yes, I'm very concerned about trust and safety.'"
"I think an example though of where consumers are very concerned about sort of trust and assumptions is around being embarrassed and social signaling... The social mechanics actually feel so much higher stakes than the actual, like, real-world implications."
"[One company] offered a million dollars worth of pizza to anyone that wanted to use their product... In order to get that $30 of pizza, you were granting access to your entire Google Workspace, all of your emails, all of your data for 30 bucks."
"It just proves it right there, that people are willing to just give up all that data for some free pizza."
@illscience @DavidPawlan
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