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Tory | io.net 🦾
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Tory | io.net 🦾
@MTorygreen
Co-Founder of @ionet | Freeing the AI Genie from the Bottle 🧞♂️
Decentralized Katılım Nisan 2009
1.6K Takip Edilen78K Takipçiler
@livioq True. People like to view things in an apples to apples comparison. The jobs/opportunities AI will create will look vastly different from what we have today. This is primary reason behind the doomer thesis - they can't comprehend what's currently unknown.
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@MTorygreen It will destroy jobs and create new ones.
We need to make sure that the gap between the two events is as small as possible.
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People keep arguing about whether AI will take jobs.
I think that misses the bigger story.
Every major technology wave destroyed some work and created entirely new industries around it. AI will do the same, except the scale is larger because intelligence itself is becoming abundant.
The important part is that millions of people will get access to leverage that used to belong only to large companies and institutions.
Kalshi Finance@Kalshi_Finance
JUST IN: Sam Altman says AI is unlikely to cause a jobs apocalypse
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@NinaJoh_ That isn't how it works...
There's accountability and a sense of ownership, even in a decentralized, distributed system.
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I'm all for skipping bureaucracy and red tape.
The benefits far outweigh the costs.
io.net@ionet
Over $100,000. That's the extra cost of running 10 GPUs on @googlecloud every year vs @ionet. There are also the quota approvals, regional shortages, egress fees, and TPU lock-in. Or you can deploy in 2 minutes, skip the bureaucracy, keep the savings. The choice is easy. Here's the full breakdown: io.net/blog/io-vs-gcp
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@Star_Knight12 AI costs are definitely ballooning, but they're no where close to payroll costs for most firms. Having said that, AI at least rn as it is, isn't in a form to completely replace jobs.
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@Kalshi_Finance and then next week he'll be on a podcast claiming the opposite lol
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JUST IN: Sam Altman says AI is unlikely to cause a jobs apocalypse
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@livioq Open weight models are already 80-85% as good as sota. Centralized AI labs just want some way of justifying the ludicrous capex. The tides will shift, eventually.
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@MTorygreen It won't be long before local models are good enough for coding. At that point we'll see companies investing in one of hardware costs rather than monthly tokens.
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"AI will significantly reduce labor costs." Wrong.
For most companies it just replaced payroll with compute bills.
The firms that win in the long run will be the ones with the lowest inference cost and fastest iteration loops.
Conclusion: We cannot solely depend on a handful of compute providers.
io.net@ionet
It's only May, and @Uber has already burned through its entire AI budget for the year. With costs as high as $2,000 per engineer per month, it's easy to understand why. And they aren't alone. Less than 1% of executives report 20%+ ROI from AI. Overpriced infrastructure, soaring token usage, and runaway costs make AI almost unaffordable, even for the largest companies. But you don't need an enterprise budget to build with AI. You need affordable compute and leading open-source models. That's exactly what @ionet delivers. beincrypto.com/enterprise-ai-…
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@0xsachi totally in support of dAI, open weight models running via distributed, decentralized compute
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@PeterDiamandis Privacy has been a meme for as long as Facebook tbf. It only becomes important when we hear of a scandal, mass spam or the like.
it'll be no different in the AI era. Although I hope I'm wrong.
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Apple and Google literally know when you use the bathroom. Your phone tracks your location 24/7. Your browser history is sold. AI does facial recognition everywhere. Privacy as we knew it is gone.
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@vivoplt this narrative will flip on the release of the latest Claude in a month or so... lmao
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@_AliceMain_ It's doesn't though, does it? It's the same incumbents defining the AI era, barring a few innovative startups.
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The internet expanded distribution. AI expands means of production itself.
Every market looks bigger because the cost of turning ideas into products, code, research, media, or labor keeps collapsing.
The question I still have however is that who will all of this benefit?
Logan Kilpatrick@OfficialLoganK
It’s easy to forget just how quickly the size of the pie (AI Market) is expanding in nearly every category
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@dufflypame2774 Exactly that. Demand for compute is growing exponentially, we get it loud and clear. However, in its current state this technology is only widening the gap and no one wants to admit it.
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@MTorygreen wild take but this is gonna get weird for ownership
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@sri9s it doesn't
you still have to prompt, review the generation, edit it if needed, iteratively improve the output and engage in a positive feedback loop - so there's still a lot of work imo.
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@joni_vrbt ai, at least how we know of it rn is a great pattern matching machine. loads of data ensures that next work predictions are largely correct. when that fundamentally changes, then we can talk about it producing genius. till then, it's a culmination of human intelligence.
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@sri9s more than jobs, AI will create opportunities, think of solo-founders, gig workers and freelancers.
overall economic output will expand and that process is already underway.
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@1Umairshaikh as stated by the majority, people are working more now with AI. that won't change for the foreseeable future imo.
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I personally feel we are going back to farming in future
after delegating all our tasks to AI.
Humans were never built to just sit and consume.
Yes, it is.
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@ryancarson Helping boomers set up their AI workflows will potentially yield massive returns. NFA.
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I'm becoming convinced there is going to be an explosion of jobs for people who are great at using agents.
There's a clear line I'm seeing between people:
1. Use Claude Code / Codex / Devin / etc
2. Use ChatGPT / Gemini / Perplexity
Distinction is simple:
If your agent writes persistent code, you're in group 1 and the future is v v bright.
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@pmddomingos that's one way to look at it for sure. from what I see though, the gap between the lowest strata and the ones sitting at the top is widening at a rapid pace - that can't be good for us, right?
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