Chris McKay

934 posts

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Chris McKay

Chris McKay

@cmcky

Imagination is all you need

Katılım Aralık 2017
32 Takip Edilen152 Takipçiler
Chris McKay
Chris McKay@cmcky·
Codex App's Dictation Dictionary was one of those lowkey QoL updates from @OpenAI that was just brilliant. 👏🏾
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Morgan
Morgan@morganlinton·
So...with 10x Codex limits for the next month, may as well start some serious /goals in Codex. An operating system seemed like a logical starting point. Okay, off to bed. Something tells me Codex is going to be up all night with this one. Might need to call it TibOS right? 👀
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Chris McKay
Chris McKay@cmcky·
Weird - Opus 4.8 has a grammatical error in its response 🧐
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Elvis
Elvis@elvissun·
playing around with video gen for a launch video, where should I start?
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andrew arruda
andrew arruda@andrewarruda·
what if (now hear me out) artificial intelligence driven by deep learning neural networks is the most transformative technology humans have ever invented and every industry will eventually be completely transformed by it? what if this is all just the beginning?
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Chris McKay
Chris McKay@cmcky·
@tunguz Remember when you had a certain number of minutes/data for phone plans? Good times.
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Bojan Tunguz
Bojan Tunguz@tunguz·
It's high time that some of these top AI labs come up with a family plan. Or at least have an option for different users within the same plan.
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Chris McKay
Chris McKay@cmcky·
@ajambrosino Stats on the profile page are not accurate @thsottiaux. e.g. I just had a task running for more than 9 hours yesterday, but it says the longest running task is 55mins.
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Chris McKay retweetledi
Guinness Chen
Guinness Chen@guinnesschen·
If you ever get tired of managing your Codex threads, just let Codex manage itself! Codex can now create threads, search them, organize them, pin the important ones, and spin up worktrees for parallel tasks.
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Sue
Sue@suekhim·
AI is making kids dumber. It should be making them geniuses. Introducing Koji, the first AI tutor that gets kids to actually think. 👇
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Claude
Claude@claudeai·
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.
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Chris McKay
Chris McKay@cmcky·
@tunguz Funny that we can now consider pulling off something like this and still not be completely convinced it deserves the AGI label.
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Bojan Tunguz
Bojan Tunguz@tunguz·
Update #2: 18.04 -> 20.04 update finished with no issues. No problems with GUI this time around, as I had told Codex to fix all pending boot up issues. CUDA has been properly installed as well (!!!) and nvidis-smi is working. I had the option to upgrade to 22.04 in the GUI, but opted not to pursue it, as I'd like to finish up this experiment completely within the confines of SSH remote logging in.
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Bojan Tunguz
Bojan Tunguz@tunguz·
I am making Codex upgrade my very old System76 laptop running Ubuntu 16.04 with 1070 GPU. Codex is running on my Mac laptop and upgrading the Ubuntu one via terminal. If it pulls it off, I'll concede that we have AGI already.
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Chris McKay
Chris McKay@cmcky·
Will explore this more…
Andy Hall@ahall_research

My new piece: instead of banning AI in teaching, we need to create an army of citizens who've learned how to build their own personal evals measuring whether AI fits their values. A new kind of distributed system that holds AI accountable to each of us. This is what I've experimented with in the classroom @StanfordGSB this quarter. My students have gone from no experience with code to building their own evals for AI using Claude Code. Every student designed their evals, got results, and created a leaderboard in a single three-hour class session with no structure or help. These ranged from studying how AI handles Brazilian elections or Burmese translation to how it solves logic puzzles and the extent to which it sticks to consequentialist philosophical values. It is mindboggling what it's possible to do in the classroom with AI now. My argument: every new technology raises concerns about how to update the way we teach and learn. Old wisdom from Aristotle to Bacon to Tocqueville to Dewey argues that the best way to learn is by *doing*. AI gives us new ways to learn by doing, and we need to embrace these as part of our toolkit. By building evals, students don't just gain experience managing coding agents, which will be essential to their post-college lives. --They turn AI into an object of study rather than a tool that passively guides them. --They get to engage their curiosity and their personal interests. --They experience what it will be like to be a member of a new kind of democratic society in which helping to hold AI systems accountable will be key --They have fun! There's a lot of pessimism about AI and the teaching experience right now, but this experiment has given me some reasons for optimism. Check out all the projects the students came up with, and more about the experiment and my argument, in the post here: freesystems.substack.com/p/an-army-of-c…

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Chris McKay
Chris McKay@cmcky·
@tunguz Well all be looking back on this period as the good old days
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Bojan Tunguz
Bojan Tunguz@tunguz·
Try to build as much code as possible over the next few months. The prices you are seeing now for AI will probably not last too long.
Hedgie@HedgieMarkets

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

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Harley Finkelstein
Harley Finkelstein@harleyf·
Every hurdle AI removes, another real business gets born. We're heading toward a world where more people can self-actualize, not fewer. Listen to this one.
Jack Altman@jaltma

My conversation with @tobi, founder and CEO of Shopify. Timestamps: (0:00) Intro (0:49) A problem worth solving (5:58) Building products people love (10:14) Why originality matters (11:47) Conformity in Silicon Valley (15:47) Founder-led companies (18:44) Shopify’s AI transition (23:52) Building with urgency (26:52) AI for small businesses (35:18) Raising the standard of living (41:11) Predicting the future with AI (48:14) Changing perception on talent (55:34) Reading and curiosity

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