Jake Colling

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Jake Colling

Jake Colling

@JacobColling

Cofounder @ Firstloop, an ai-native software development agency | DMs open

Denver, CO Se unió Eylül 2013
922 Siguiendo3.3K Seguidores
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Jake Colling
Jake Colling@JacobColling·
I failed. The story of the last year and what's next: An AI Canvas: Last year I had a niche tool (obsidian plugin) go modestly viral. It brought LLMs to a true 2D infinite canvas and enabled new UX for interacting with them.
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Jake Colling
Jake Colling@JacobColling·
@thesamparr Hasn't Kalshi also renegged on number of important market resolutions too...
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Einar Vollset 🇳🇴🇺🇸
I can’t stop laughing at Bernie convincing himself talking to Claude is a cogent way to understand AI risk. Hehehe
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Jake Colling
Jake Colling@JacobColling·
One of my all time life experiences was climbing Capitol Peak with my friend Sam. Just before the summit block you hit the famous Knife's Edge, with a sheer drop on both sides (picture). Gnarly. The standard route is 17 miles, 5,000 feet of elevation gain and a class 4 summit. Many people break this up into multiple days. But Sam and I had been smashing 14ers all summer and were in peak shape. So we did the whole thing in a day and ran most of the way down. Lots of great memories but I always think about how good it felt to have my body be that capable. (I'm not in that kind of shape right now). It's an incredible experience to have trained so much and then be able to put it to use tackling a really challenging route.
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Jake Colling
Jake Colling@JacobColling·
To borrow a video game analogy, using Claude Code when others aren't makes it feel like I'm a maxed, endgame character stomping around in the noob area
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Jake Colling
Jake Colling@JacobColling·
oh looks like I still got logged in though
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Nikita Bier
Nikita Bier@nikitabier·
@0x45o My job is to increase unregretted time spent. Every tap, every word must be intentional and valuable to the user. If you get sucked into bad content, that’s time taken away from a conversation you could be having elsewhere.
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Jake Colling
Jake Colling@JacobColling·
@AlexPalcuie Really cool that you monitor X like when on all call. Is that a widespread practice across Anthropic?
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palcu
palcu@AlexPalcuie·
i have a tweetdeck column for “claude down” because i’m oncall right now and want to follow users who might tweet useful things but it also matches “hands down, claude code is great...” and every time it’s first a jumpscare, then a laugh
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Jake Colling
Jake Colling@JacobColling·
@charliermarsh Congrats!! Legendary team and well deserved exit uv makes python great
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Charlie Marsh
Charlie Marsh@charliermarsh·
We've entered into an agreement to join OpenAI as part of the Codex team. I'm incredibly proud of the work we've done so far, incredibly grateful to everyone that's supported us, and incredibly excited to keep building tools that make programming feel different.
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Jake Colling
Jake Colling@JacobColling·
@JustJake @Suhail Just want to say I really appreciate the consistency in how you are constantly asking for feedback and genuinely making yourself available to the community Extra Impressive considering the hyper growth you are going through
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Jake
Jake@JustJake·
@Suhail Thank you! Much more to come Feedback always welcome BTW. Just tag me or any of the team 🫡
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Awni Hannun
Awni Hannun@awnihannun·
I joined Anthropic as a member of the technical staff. Excited to work on frontier modeling at a place with unwavering values and a generational mission.
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Matt Arderne 🌊
Matt Arderne 🌊@mattarderne·
2 questions on Agentic workflows 1. which product has the best "structured workflow" primitive. I need predetermined steps that an agent must follow. Think SOP meets Skill. 2. what is the best format to communicate this workflow to an agent? Mermaid diagram? please RT if you are curious!😅
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Jake Colling
Jake Colling@JacobColling·
@DavidSHolz @Austen @bdmarotta @midjourney I think you should charge insane prices and see what happens. Midjourney images are uniquely good. You might have more pricing power than you think Do easy validation - Let people pay upfront for the API credits before you even build the API
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David
David@DavidSHolz·
@Austen @bdmarotta @midjourney so this seems crazy to me unless we charge insane prices, right now it feels like it would be a extension to the current subscription system and drain normal credits through there (and you can buy fast hours on top of that)
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Jake Colling
Jake Colling@JacobColling·
I think this is misstating where the optionality comes from. Optionality of a model within a given vendor harness just doesn't matter. What matters is the quality of the outcome you get and what it cost you. A company like Sierra will be able to charge more to the extent that they deliver better outcomes + how sticky they are. Switching costs come from where and how deeply the vendor is integrated with the rest of a company's systems. If Sierra is charging $1.80 per outcome and then a new startup can get the same outcome for $0.80 per outcome there will be pressure on Sierra to lower prices. Customers won't get lower prices because a model got cheaper. They will get lower prices if there is a competitive dynamic driving them down
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🅱🅔🅝
🅱🅔🅝@ben_mathes·
@pzakin @hypersoren These companies are not wiring in single model inference API endpoints, but layering proprietary harnesses, or at least trying to. I.e. they are actively trying to cut out the optionality
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Soren Larson
Soren Larson@hypersoren·
I had hoped sharp New Yorkers would resist the outcomes-pricing mind virus but it seems coatue has succumbed. Outcomes pricing means turning yourself into a RL env for your service provider at cost to you while enabling your competitors without promise of declining costs. 🫠
COATUE@coatuemgmt

AI labs are out scaling the most iconic SaaS businesses in history. The core driver: A fundamental shift from Selling Software (per-seat) to Selling Work (per-output). The Market Shift: Legacy: Tool-based subscriptions ($0.2T TAM). New Paradigm: Direct monetization of work ($5.5T TAM). By shifting the unit of value from the tool to the output, the addressable market potential expands by 25x. @LucasSwisher1 breaks down the data in our latest C:\Take

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