Taylor

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Taylor

Taylor

@BusinessTay

Founder of 1 million unexecuted unicorns

Katılım Eylül 2023
217 Takip Edilen56 Takipçiler
Taylor
Taylor@BusinessTay·
The best agencies in 2026 won’t just sell services. They’ll build internal tools that make their service better, faster, and smarter. Those tools create better outcomes. Those outcomes validate use cases. Those use cases become products.
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Linus ✦ Ekenstam
Linus ✦ Ekenstam@LinusEkenstam·
I used AI to create ultra-realistic reconstructions of 4D ultra sounds into this realistic photography. If you are pregnant, want to give a way a christmas gift to a friend/partner. Or simply want to try this on your own, reply below.
Linus ✦ Ekenstam tweet mediaLinus ✦ Ekenstam tweet media
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Taylor
Taylor@BusinessTay·
I think no matter the expansion of AI. Corporations bare the scars and fixation of the outdated constructs of 100’s of years old working structures. Corporations will block their own progress and adoption of AI in the fear of not being the first. I think a thick plug blocking the ocean from falling through the floor but when it’s pulled everything will go…
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sid
sid@immasiddx·
Nano Banana vs Nano Banana Pro We’re cooked. 💀
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Taylor
Taylor@BusinessTay·
@david_attisaas We’re done. Who is this person. And why is her only existence tied to a short paragraph for a prompt.
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4nzn
4nzn@paoloanzn·
just deployed a dev team that works 24/7 for <$200/month in API costs not a chatbot, an actual fucking team three AI agents running as employees in my agency: backend developer, DevOps specialist, frontend engineer they communicate in Discord like humans, each has their own isolated computer environment, they write code, review each other's work, deploy infrastructure this isn't some demo, this is production infrastructure replacing $180k/year in salary open twitter and see people building chatbots and calling them agents consultants are doing one-off automations and charging $10k nobody's building agents as actual operational infrastructure the framework we built treats agents like supabase treats databases - you write a config file, run one command, entire agent team spawns with communication, state management, and orchestration built in YAML config → parser → docker compose → running agents you define agents in configuration, infrastructure deploys them automatically each agent gets its own container, its own workspace, its own computer to operate in they collaborate through Discord so humans see everything, no hidden coordination, complete transparency here is my market thesis: companies are spending $150k-$400k per engineer per year most engineering work is repetitive infrastructure tasks, API integrations, code reviews, deployments AI agents can do 70% of this work right now for 0.1% of the cost but nobody's packaging this as deployable infrastructure everyone's selling consulting hours or custom builds we built the deployment layer that makes multi-agent teams actually usable every company with 5+ engineers has $750k-$2M in salary budget that could be replaced with $2k/month in AI agent infrastructure companies don't want consulting, they want infrastructure they can run themselves this framework lets non-technical founders deploy agent teams with zero code same way Supabase lets you deploy a backend with config files most people building AI agents are doing proof of concepts and demos we built production infrastructure with container orchestration, state management, cost optimization this is enterprise-grade operational infrastructure, not a toy AI consultants are charging $50k for custom agent builds that break in production, we're about to package this as infrastructure that anyone can deploy the people who understand this in the next 90 days will own the market, mark my fucking words everyone else will still be building chatbots and wondering why nobody's paying
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Taylor
Taylor@BusinessTay·
This is such captivating media. So original in its concept. Yet so simple.
Quartr@Quartr_App

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Taylor
Taylor@BusinessTay·
Just watched @GoogleResearch YT video on the biogenome project and it made me think: AI is becoming or already has become the universal instrument - microscope, telescope, workshop, library. Looking forward I think our responsibility (every human with access to the technology) is to select: What is worthy of being built, understood, healed, or explored and why? Once you answer that honestly, the architecture of your life, your work, and our civilisation starts to rearrange itself around better questions. We all are researches. From the dawn of time we’ve researched and shared our findings. We do it with every conversation. Every day. No matter how trivial the topic.
Google DeepMind@GoogleDeepMind

Together with @GoogleResearch, we’ve developed AI technologies which can monitor endangered species, protect forests, and listen to birds around the world. Here’s how. 🌱🧵

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Taylor
Taylor@BusinessTay·
POV: You’re building the online garage for everyone
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ruslan
ruslan@ruslanjabari·
@ founders the next 18 months dont matter focus on what you can do within the next 2 weeks ur startup is likely not going to survive that long everything else does not apply to you
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Taylor
Taylor@BusinessTay·
@NotionHQ Why does my handshake icon look like this? You’re going to get me in trouble…
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Taylor
Taylor@BusinessTay·
@FreeDrThug @heinenbros Makes sense. Do you know the name of their technology for this? Would be cool to see for reference. As this technology seems extremely accurate, would be interesting to see how far palantir go.
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jacob
jacob@FreeDrThug·
@BusinessTay @heinenbros it's really cool and impressive. Palantir already has this tech tho. they've had it for years. Dont get me wrong it's really fcking cool tho
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Daniel Heinen
Daniel Heinen@heinenbros·
Example of us using AI to track cartel activity from grainy videos posted on Telegram
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Taylor
Taylor@BusinessTay·
It’s such a cool feeling when you feel your idea come to life through your code. When it feels refined. Not slop. Real high quality product. Now it’s time to carry that momentum and have it ready for beta. I’m going to make owning a vehicle a lot easier.
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Sage
Sage@oranahh·
Everyone has ideas. What makes you different?
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Taylor
Taylor@BusinessTay·
@teslaownersSV Unqualified answer seeker here: Does a foundation-model approach make sense… Train on healthy neural/EMG/kinematics, then align to each patient. Or is individual variability too high for that to work in practice?
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Tesla Owners Silicon Valley
Tesla Owners Silicon Valley@teslaownersSV·
🚨Neuralink Breakthrough- “It’s Physically Possible to Restore Full Body Functionality” — Elon Musk
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Taylor
Taylor@BusinessTay·
The API space feels like an untapped library of building blocks. Might build a “recipe book”. A site that lists some of the most interesting public endpoints and shows how they can be combined for crazy results…
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