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Shane

@ShaneSmitas

Building @the_ORQL. Dangerously skipping permissions. I, for one, welcome our new AI overlords

Vancouver Katılım Aralık 2014
880 Takip Edilen495 Takipçiler
Shane
Shane@ShaneSmitas·
@ollieforsyth Love that you offer to bring value to the conversation! Followed
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Ollie Forsyth
Ollie Forsyth@ollieforsyth·
I’d love to angel invest in a handful of new startups this month. Ideally former operators but open to all. If you think I’d make a good addition to your cap table, reach out, DMs are always open! My value add to you: Distribution: Our media channel receives millions of monthly views which you automatically have access to! Power: A mighty powerful rolodex! 😍
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Shane
Shane@ShaneSmitas·
@BatsouElef I'm not too sure gumroad is probably great though. Pretty easy to publish on Amazon I think as well but I'm no expert 😆
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Eleftheria Batsou
Eleftheria Batsou@BatsouElef·
@ShaneSmitas I was thinking of gumroad .com, but I will check my options again... do you have anything better to suggest?
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Eleftheria Batsou
Eleftheria Batsou@BatsouElef·
Sharing this next part from my upcoming book about how to grow on X. [It's coming🥹 - Drop a like or a comment if you think it's interesting.]
Eleftheria Batsou tweet media
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Shane
Shane@ShaneSmitas·
@NanouuSymeon 👆 Nanou is the BEST. Hire her. Amazing person to work with
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• nanou •
• nanou •@NanouuSymeon·
Day 2 looking for a job as a Coding Tutor: • I applied in 12 jobs • Rejected by 2 • Got a reply from 2 • No interview until now
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Shane
Shane@ShaneSmitas·
Generic AI can hallucinate fixes. theORQL sees runtime evidence and maps UI to code instantly. One click runs: reproduce → fix → verify → diff You verify the fix by re-running. theORQL gives you a reviewable diff. Try it! 🔗 theorql.com #VibeCoding #FrontendDev #BuildInPublic
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Shane
Shane@ShaneSmitas·
@rohanpaul_ai If they actually ship strong guardrails and audibility, that's the real unlock for enterprise agents. Most orgs aren't worried about capability, they're worried about traceability when something an agent did hits production.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Wired: Nvidia is getting ready to drop NemoClaw, an open-source platform built for AI agents. They are aiming this for enterprise software makers, letting businesses set up these agents to handle internal work chores. The coolest part is that it will reportedly come with baked-in security and privacy tools, and it works even if you are not using Nvidia chips. These agents, called claws, are local programs that learn automatically and finish multi-step jobs without constant human supervision . Nvidia is adding strict privacy guardrails to prevent these agents from going rogue and deleting corporate files like earlier versions did. Releasing this for free breaks from their closed CUDA system, proving they want to dominate software ecosystems even if rivals make custom chips. --- wired. com/story/nvidia-planning-ai-agent-platform-launch-open-source/
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Shane retweetledi
Rohan Paul
Rohan Paul@rohanpaul_ai·
Anthropic looked at the difference between what AI could theoretically do against actual current usage across different job categories. The gap is still enormous but closing fast. The blue line shows the theoretical maximum of what AI could do for a job, while the red line tracks how much it is actually being used in the real world. - Computer and Math tasks are 94% exposed, with Legal work at about 90%. - Architecture, management, and media roles are all over 60%. We are only seeing a small portion of that in action today. But that gap is closing, and everywhere the potential dwarfs the current usage, time is running out. - Grounds maintenance and construction are at near 0%. - College graduates are 4 times more likely to be shut out of the labor market because companies have stopped hiring for roles that are statistically at high risk for AI.
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Rohan Paul@rohanpaul_ai

Anthropic just published "Labor market impacts of AI" reveals how AI actually affects jobs by looking at real usage data. Finds no major unemployment impact yet, but slower hiring for young workers. 14% drop in new job starts for young adults entering these highly exposed fields. - The authors built a new tracking method that combines theoretical capability guesses with actual daily platform usage data. - They discovered that actual workplace automation is currently just a tiny fraction of what is theoretically possible. - Software programmers and customer service representatives face the highest actual automation risk right now based on real platform behavior. - Government projections show that occupations with higher actual automation coverage will experience slightly slower employment growth over the next decade. - The data shows that workers in the most exposed professions actually tend to be older, more educated, and higher paid. - The study finds no systematic increase in overall unemployment for highly exposed workers since the recent wave of language models.

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Shane
Shane@ShaneSmitas·
@viberankdev @the_ORQL Awesome! Thank you for your feedback 🙌🏼 I'll definitely check Viberank.
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viberank
viberank@viberankdev·
@ShaneSmitas @the_ORQL This sounds like a game changer for debugging frontend issues. Being able to map runtime events back to code in VS Code is exactly what developers need. If you are looking for more exposure, you should list it on Viberank.
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Shane
Shane@ShaneSmitas·
Safer quick-apply: [codex -p "Patch minimally to fix the bug; annotate why above each change." < file.py | diff -u file.py -] Read the diff, then apply. Eyes on, hands off.
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Theo Barrett I Outreach
Theo Barrett I Outreach@theobar0·
@ShaneSmitas Tools like this usually win once devs actually see them. Targeted outbound to indie hackers and AI builders could bring a lot more users than just PH traffic. If you want, I can show you how we do that for dev tools.
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