Brad Glisson

329 posts

Brad Glisson

Brad Glisson

@GlissonBrad

San Francisco, CA Katılım Ocak 2013
238 Takip Edilen249 Takipçiler
Brad Glisson retweetledi
lucas gelfond
lucas gelfond@gucaslelfond·
we must end the quirk chungus terrible creative technology project industrial complex (i’m in the @clereviewbooks today about the arts collaborations at Bell Labs and RAND in the 70s!)
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Brad Glisson
Brad Glisson@GlissonBrad·
@signulll the post-post economy is built on the right people finding each other from latent interests not always visible from public feeds. people will post actively or passively to the "mesosphere" in the future and find each other without having to perform.
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Brad Glisson
Brad Glisson@GlissonBrad·
@signulll simplest way to think of it is how many minutes a day go to thinking about product vs thinking about posts. posts expand footprint before or after PMF but don't make a market need real or a product better.
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signüll
signüll@signulll·
which one do you think is easier: for a poaster to become an amazing ceo or a ceo to become an amazing poaster?
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Brad Glisson retweetledi
signüll
signüll@signulll·
the most underrated hire right now is a great product person. when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that. i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it. & the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start. the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled. before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.
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Brad Glisson retweetledi
signüll
signüll@signulll·
there is no one in ai today that has created any sort of meaningful network effects. ai today is ~single player & single player only. it is only multiplayer if you consider ai as another user which is entirely reasonable. multi player ai experiences are still mia & are incredibly fun to think about.
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Brad Glisson retweetledi
Nicolas Cole 🚢👻
Nicolas Cole 🚢👻@Nicolascole77·
X algo has officially changed. Feed is filled with sensational, lowest-cognitive-load, generally polarizing content. Will be interesting to see how niche creators need to adapt (a question I’m asking myself as someone who has written on this platform for years).
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Brad Glisson retweetledi
Kirsten Green
Kirsten Green@kirstenagreen·
• Prosumer companies match Consumer Tech performance at IPO • New AI-powered prosumer cos already show 3x higher willingness to pay ($78 vs $25 median price point) • 50%+ of consumers use prosumer tools in their personal lives Our latest research! forerunnerventures.com/research/our-s…
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Brad Glisson retweetledi
Sam Altman
Sam Altman@sama·
algorithmic feeds are the first at-scale misaligned AIs
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isabelle
isabelle@isareksopuro·
i analyzed 5000 policies in San Francisco built a website to explore in 3D
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Brad Glisson retweetledi
parker
parker@parkerhendo·
The correct Aesthetic of Software
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Brad Glisson retweetledi
roon
roon@tszzl·
in the next few years the global tele-operation industry will expand dramatically as the promise of data labeling -> autonomous robotics makes this idea more tempting. geographic capital of blue collar workers will be further eroded, on top of what has already happened due to global logistics you can imagine people playing videogame-like construction robots in a room in shenzhen. moreover, the cost of logistics itself will fall by orders of magnitude in the immediate future seeing as self-driving cars and trucks are already operational. the ratio of goods produced elsewhere vs near you will increase yet again this would actually be long etsy or shopify-like stores relative to amazon sellers. everything will be in motion, constructed off-site, brought in just in time
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Brad Glisson retweetledi
will depue
will depue@willdepue·
do not build Infinite Jest (V), do not build the infinite AI TikTok slop machine, do not build the P-zombie AI boy/girlfriend, do not build the child-eating short-form video blackhole, do not build the human-feedback-optimized diffusion transformer porn generator. save yourselves
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Brad Glisson retweetledi
roon
roon@tszzl·
companies like Facebook record every imaginable interaction their users have with the platform. they log each of your clicks and taps. they keep track of how long your gaze lingered on a post, whether you were on the same WiFi as that woman who might be your friend, which instagram reel you watched three times. for a single user this is quaint, but these practices are done on a planetary scale across all technology giants. they create petabytes of data per day and keep it for as long as the European regulators will let them. then they can have machine intelligence instrument it into useful knowledge for their cybernetic control systems that build newsfeeds, serve ads, decide how much compute to spend on you, which SKUs should be in which warehouses right before you want them. the Hive metastore bills run into the billions hospitals throw most of their data and telemetry out after each case, every single day. they record videos of vascular surgeries, endoscopies, discovering interesting physiologies. sometimes they're not recorded at all and most of them the time they delete them as soon as they’re done it's even worse for physiologic waveforms (ECG, EEG, arterial lines) which are essentially never recorded anywhere at all. milisecond scale views of patient's brains, vasculatures, hearts are generated and instantly destroyed. all of these time series of course predict people's hearts stopping, brains exploding, etc ahead of time. surgeons teleoperate robots, none of the micro-movements are recorded, policies never learned, never correlated into which outcomes were successful or not this would be unthinkable to most software people whose instinct is to record everything everywhere never mind the cloud costs, because we are sure there will be some use for it later and some model to be trained later. i don't have a prescription here per se my point is just that our civilization routinely hoards and treasures some of the silliest data in the world "i pressed like on the john pork reel" & destroys much of all the most important data it generates and limits what machines can learn
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Dimitris Papailiopoulos
Dimitris Papailiopoulos@DimitrisPapail·
Every tool is "superhuman", in the specific use cases relative to it. Otherwise we would not use it.
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