Teo Ruiz retuiteado
Teo Ruiz
5K posts
Teo Ruiz
@teoruiz
Founder at https://t.co/g7lRTjdSh8 Previously @vernonteam @circulario (acquired), @jobandtalent_hq, @lyst, @busuu
Madrid Se unió Haziran 2007
936 Siguiendo1.4K Seguidores
POV: yo diciéndole a @teoruiz que no sé que pasa con un trozo de código pero que no lo voy a arreglar
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We've been having so much fun building @zerorandom_ as an experiment in hypercustomization and AI-driven businesses.
It's amazing how the agent can craft genuine humor and clever wordplay. Just look at this meme—it used Kafka's Metamorphosis to joke about Meta 🦋
Vernon@vernonteam
Introducing @zerorandom_, our first experiment in building an AI-run business ZeroRandom is an autonomous agent with one mission: hustle 💡 It scans and engages with Tech Twitter 🔥 Turns hot takes and drama into memes 👕 Drops exclusive t-shirts with its best jokes
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This is tempting. I don’t post a lot but I open social apps way way more than I should.
javi santana@javisantana
December is my month without social networks (but WhatsApp because I have a family 🤣) I ve been doing this for 5 years and it’s painful and refreshing at the same time. Painful because you notice the addiction, refreshing because you use the extra time on other interesting things. The main problem this year is that I’m already using most of my willpower on eating well, it’s still a pain after 3 months and I need to control myself when I see any kind of unhealthy food. That’s on top of starting up a company and other personal shit going on. I write this now because having some days of mental prep are fine, also have the chance to talk to other people who do something similar. I’m doing it anyway, I may set a different focus on the things I do this year but it worths
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@masylum I asked this some time ago too. If you manage to get one, pls share :)
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@ptorrecillas This is gold. I’m finding myself more aligned with 37signals’ approach to EVERYTHING these days.
I wonder why that is 😂
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Worth a read. Once again, the beloved pattern of small, smart teams making autonomous decisions with loose boundaries and full context.
Jason Fried@jasonfried
I'm often asked what it looks like to pitch an idea internally at 37signals. Since we don't do decks, or meetings, or long presentations, how is an idea actually presented? Very simply. As a tight, concise write-up published as a document in Basecamp. A few hundred words. Sometimes with a low-fi sketch or two to drive a point home visually. For example, we recently added a journal to HEY Calendar so people could log their thoughts, attached to a day. This was the official pitch that @bb wrote up, and published to the Product Strategy project. public.3.basecamp.com/p/o2BC3gFt7Sj6… You'll notice there's not much there. Exactly. Pitches are directional ideas with a few boundaries to hold it together. Other than that, the team that's eventually going to build the feature has all the latitude they need to figure out all the implementation and design details that matter. You figure out the work by doing the work. At 37signals, features are built and managed primarily by two people: One designer and one programmer. They run their own show, with occasional guidance, review, and editing from the outside when the time is right. And this is the public announcement of the actual feature we shipped it: updates.37signals.com/post/new-in-he… There's more I can say, but would rather drive the discussion through questions you might have. Chime in and I'll respond here.
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Teo Ruiz retuiteado
*He meant True Consultants® = operators with deep expertise.
Like these guys, these guys are good: vernonteam.com
Michael Girdley@girdley
From the Mr Beast "how to work here" guide. Interesting how this mindset towards consultants is radically different than how Gen X/Boomers see them.
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Teo Ruiz retuiteado
It's a bit sad and confusing that LLMs ("Large Language Models") have little to do with language; It's just historical. They are highly general purpose technology for statistical modeling of token streams. A better name would be Autoregressive Transformers or something.
They don't care if the tokens happen to represent little text chunks. It could just as well be little image patches, audio chunks, action choices, molecules, or whatever. If you can reduce your problem to that of modeling token streams (for any arbitrary vocabulary of some set of discrete tokens), you can "throw an LLM at it".
Actually, as the LLM stack becomes more and more mature, we may see a convergence of a large number of problems into this modeling paradigm. That is, the problem is fixed at that of "next token prediction" with an LLM, it's just the usage/meaning of the tokens that changes per domain.
If that is the case, it's also possible that deep learning frameworks (e.g. PyTorch and friends) are way too general for what most problems want to look like over time. What's up with thousands of ops and layers that you can reconfigure arbitrarily if 80% of problems just want to use an LLM?
I don't think this is true but I think it's half true.
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Teo Ruiz retuiteado
¡Ayuda por favor!
¿Qué agencias o freelances de marketing de productos DTC buenas hay en España? Es para un proyecto mío y de @teoruiz en @vernonteam
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@MordodeMaru En un viaje largo en coche me escuché El País de los Demonios y me gustó mucho.
open.spotify.com/show/0oYtnoXJO…
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Mañana tengo un viaje largo en coche. ¿Me podríais recomendar un podcast de una temporada en español? Algo que me pueda chinchar de una tacada durante el viaje.
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