Frankie Colson
@FrankieColson
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Founder of https://t.co/2TVMM2OJSg Creator of Docprompt bringing agents into the economy one industry at a time
Joined October 2010
Aggregated code history across four years working in the industry - public and private repos. Good for a website portfolio!
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Every $10,000 put into your portfolio (assuming 4% safe withdraw and no major world disruptions) is $33/month for the rest of your life.
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RT @tsarnick: Former Google CEO Eric Schmidt says in 3-5 years, AI may equal the sum of human intelligence which will change "everything, e…
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Sonnet just got faster - and worse at coding. Preparing for Opus 3.5 release @AnthropicAI ? @paulgauthier
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We need details here, but a 100m token context window is pretty nuts. It begins to blur the line from training to continuous in-context learning.
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RT @maticrobots: We've mapped our 28,000 sq ft office and built this fly-through in real-time on-device using @nvidia Orin Nano 4GB and 5 c…
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RT @OfficialLoganK: Today, we are rolling out three experimental models: - A new smaller variant, Gemini 1.5 Flash-8B - A stronger Gemini…
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RT @NousResearch: What if you could use all the computing power in the world to train a shared, open source AI model? Preliminary report:…
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RT @TechTekedra: We’re building a safer future one ride at a time, and I’m thrilled to share that we've just surpassed 100k paid trips per…
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RT @ljxie: SUPER excited to see one of the first AI agents paying a human for help! 🔥 Payman's Developer Relations Agent is looking for he…
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People are waiting for AGI, but AHI is already here. Augmented Human Intelligence. This idea isn't new. It's our smartphones, our books. General human knowledge. AI just takes this to the next level with multiplicative **execution**
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You can't just index all the flows in a service like @zapier. How to deal with credentials across dozens of different services? How do we give ephemeral grants for the lifetime of the agents invocation?
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Anyone is a frontend dev now. Just migrated ~25% of a client's codebase to React in four hours - several thousand additions. For reference this is: 1. Understanding legacy code 2. Creating data models, endpoints 3. Writing the code 4. Testing The kicker? LLM's did 70% of it.
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When a single human can run 10+ startups effectively through the use of agents, what is an optimal composition to maximize coverage of the technology landscape?
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