Braid lets you delegate to agents without prompts | a multiplayer human machine computing platform | @fkasummer production

Braid exists to multiply human agency.
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LLMs will be disrupted.
LLMs have to be disrupted there’s no other way
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Braid retweeted
every time i get a glimpse of the agent runtimes outside of Braid i’m shocked you all live like this still wrapping automation frameworks huh 😏
how come no browser agent can open Chrome DevTools and just reverse engineer the elements or network tab ????
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Braid retweeted
Replying to @AdamRackis
Adam most software you and I use will be written by other people, mostly by volunteers creating public goods It’s not out of line to ask for basic consideration like not being entitled and dunking on people doing the work devs know their work is a gift & not something they owe
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Braid retweeted
grinding doesn't work when there are paradigmatic issues to be solved you must pursue moonshots there's no safety on the frontier
besides too much group think i feel the traditional startup grind is why we're getting so many people building the same stuff with nothing really shining at the ai app level.
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Braid retweeted
Sober sincere competent judgement is rare. This must be celebrated.
One more piece of evidence to add to the pile. This was an extremely heretic viewpoint in early 2023, and now it is increasingly becoming self-evident conventional wisdom.
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Braid retweeted
if you’re in your 20s in tech right now, a couple of years spent handing the biggest ass whooping anyone has ever seen to OpenAI, Anthropic, or any known AI startup will give you 10x the career juice of any MBA or graduate degree (you’ll build the post-llm intelligence paradigm)
If you’re in your 20s in tech right now, a couple of years at OpenAI, Anthropic or a great AI startup will give you 10x the career juice of any MBA or graduate degree (and a lot less debt).
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Braid retweeted
I feel like language models use space more than time for representation that doesn’t necessarily have to be the case intuitively I’d want the space heavy vs. time heavy trade off to be dynamic at runtime doesn’t make sense for intelligence to have a fixed resource tradeoff
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there is billions of $$ in this tweet btw
I feel like language models use space more than time for representation that doesn’t necessarily have to be the case intuitively I’d want the space heavy vs. time heavy trade off to be dynamic at runtime doesn’t make sense for intelligence to have a fixed resource tradeoff
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Braid retweeted
sometimes people reveal gaps in their world model Think of software at three levels: surface, function, and value Think of the ideal distribution between novelty and stability at each level Do you want the surface to be high novelty or high stability?
Eric Schmidt says traditional user interfaces are going to go away. The WIMP model (windows, icons, menus, pull-downs) was built 50 years ago. In the age of agents, UI becomes ephemeral. Generated on demand, shaped by intent, not layout.
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Braid retweeted
first principle: intelligence is sample efficiency more compute does not compensate for lack of sample efficiency you misunderstand the bitter lesson
Who cares? AI can now do math at IMO level maybe 2-4x slower, at a fraction of the cost, with some prompt engineering. This is huge. The models will get better. The compute will increase. Stop moving goalposts. Start thinking about how to use the intellectual leverage.
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Braid retweeted
When the multiplayer browser demo went viral, I realized it's easy to create charismatic moments. It was not even a launch. I made it in iMovie in 20 minutes. But those moments are mostly a distraction from the technological imagination and invention I have in mind. They certainly don't change the difficulty of the paradigmatic problems. So, I decided Braid must choose a worthwhile mission: multiplying human agency. Our allegiance must be to building technology and solving problems that multiply human agency. Everything else is secondary.
Replying to @anselm_io
not being mysterious, we’ve chosen a demanding slice of enterprise for our market hence the lack of 1-1 playtests and frankly our ability to create a new market and a new economic model ultimate test
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Braid retweeted
what is your timeline for AGI as in an intelligence that can solve ill defined out of distribution problems?
i have short AGI timelines under definitions of AGI that look mostly like the current thing and long AGI timelines under definitions of AGI that look very different from the current thing
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Braid retweeted
I have great affection for these fringe subcultures in computing, but as I get older, I'm becoming more demanding. I want the philosophy to be effective out in the world; otherwise, it's meaningless. Just a bunch of technologists talking to each other. Feckless.
People generally have no idea that there is a fringe subculture in computing that dives deep into the philosophy of representation with the goal of reinventing how we interface with computers.
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Braid retweeted
consensus is opportunity
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Braid retweeted
prompting is compromising, hence @braidbrowser
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Braid retweeted
The killer app model fails for intelligence because it assumes problems can be modeled and hardcoded into software. Intelligence enables the modeling of problems in real time. Traditional software relies on pre-modeled problems: the creator anticipates a user's need, builds it, and distributes. With intelligence, software can model problems dynamically, including ones the authors never envisioned. The value is no longer in the hardcoded features. Surface, function, and value are becoming decoupled.
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an ai company that manages to generate 90% gross margins and unlocks new demand for intelligence will win the paradigm
The missing innovation: generating stable profit.
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Braid retweeted
imagine hundreds of thousands of knowledge workers start delegating bits and pieces of their work to agents significant enough quantities to change the kind of projects they can take on how does this change the nature of the firm
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browsers are simulations
this is on point the browser shaped thing that actually changes the game will do so because of massive research implications around data, verification, etc just a feeling :)
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Braid retweeted
not to rub it in, but this is low taste poor problem selection and doing it six months after Google steelman: there’s some strategic advantage but it’s a product miss if new ai os, what can I do I couldn’t do before?
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