> A spokesperson for the Israeli Embassy in Washington, D.C., said in a statement that it is “completely false” that Israel spies on the U.S. “Israel does not gather intelligence on American entities, let alone US government officials,” the spokesperson said. “Israel intelligence collection efforts are aimed at its enemies, not its allies. Any claims to the contrary are either misinformed or politically motivated.”
Not even a teeny weeny bit of spying on your allies?
It's a good idea to bet on this. There's a lot of business and domain knowledge trapped in random places and mostly aggregated in employees heads. Not very accessible to AI agents currently.
That said, this is the ultimate moat. Once everything about how to operate a business lives in your product, the business must rely heavily on it. I personally would only use something like this if I knew it was open source and that data could live on my own servers. If agents and my own team are consulting Hyper for things and you go out of business or move upmarket or something, it's pretty much back to the stone age for us.
Very useful idea though with a lot of potential, especially for companies like OpenAI and Anthropic looking for a moat!
Appreciate the vote of confidence! And definitely hear the concerns re: data control. We're of the opinion that it's much easier to have a trusted vendor securely handle the system, keep it up-to-date, fix issues with some SLA, etc. and prioritize that part of the user experience. Your data is always yours to export, port, delete, whenever you want it. And should something catastrophic happen, we'd make sure that we give you enough resources/guidance to make sure you don't lose any of your hard-built intelligence.
> Hopefully there will be workable alternatives by then.
I think Columbia’s OutDry Extreme tech is essentially the same thing with the membrane on the outside, which they claim is toughened to withstand abrasion, so maybe holds up better than ShakeDry:
> OpenAI, Anthropic, Google DeepMind, Meta AI, Microsoft: the combined investment in large-scale AI infrastructure now runs into the hundreds of billions of dollars, with projections into the trillions over the next decade. These numbers need an addressable market large enough to justify them. There is only one market that large: the global labor market.
It's getting tiring hearing this alarmist view unchallenged honestly. What if instead of replacing a market, it's augmenting a market?
When it becomes cheaper to produce things, we tend to consume more. That is, our consumption is endless. If one day everyone can afford a yacht because automation has reduced the production cost to next to nothing, we'll all be buying yachts. Then it will become who owns the nicer yacht, the branded limited edition yacht. The goal posts will simply shift.
Meanwhile, businesses still need to compete. If they're all using the same AI models to replace labor, AI is no longer their competitive advantage. It's simply a baseline necessity of production.
There will be pain in the jobs market, yes, as old ways of doing things are replaced by new ways with AI. But humans will continue to be the ones consuming endlessly and businesses will continue to need humans to differentiate. It's a relationship that has survived all other times automation has changed how we work.
> businesses will continue to need humans to differentiate.
Honestly, why? If AI actually becomes capable of replacing large sections of the workforce, why wouldn’t a business composed entirely of AI “employees” outcompete their rivals?
Because they would all be using the same AI model (in reality a fixed set of them, but let’s say it’s just one for the sake of argument). That isn’t differentiation [0]
It’s like if every company hired the same guy named Karl. If everyone is relying on Karl, and Karl is making the same stuff for all these businesses, how is one business going to outcompete another?
At that point you need something else to drive differentiation. Branding, strategic partnerships, patents, IP, influencer endorsements, real estate, government licensing, etc. These are either influenced, controlled, or regulated by humans at the end of the day. At the very least you’ll need humans aligning the models for human needs. Humans are the ones being served, they’re the taste makers
and why would they need human customers to thrive? They have other machine customers! This is the even more dystopian step two that the essay doesn't explore...
If they (AI) able to compete with even 30% of workforce, that alone is a big enough leverage over the already powerful companies. At minimum it will cause another phase of wealth inequality, which is already a big problem atm.
Open model with affortable computing power can be the alternative, but we don't see it soon.
It kinda seems like you are just stating the implied argument this article is targeted towards? Or something else? Do you disagree with, e.g., Daron Acemoglu's position here? Or is there some truism somewhere we are all missing?
Not the OP but I think there is something to the notion that whatever is scarce but in demand is what will be expensive and of course the inverse would be true as well. What this means is humans however they do get resources will be able to put those resources to use abundantly frankly nearly for free on things like digital intelligence but other things will become scarce.. one could speculate about what those things are but even if they're not scarce today they could become scarce in a relative sense where they become relatively valuable and that's what people will be getting selling to each other
> So can I just take Friday off? From here on out, I’ll work Monday, Tuesday, Wednesday, Thursday, and then take Friday off.
Yeah, if you switch to working as an independent contractor, you can work any amount of time you want. If you run your own business, you can work crazy hours or none at all. The world is truly your oyster
I'm not being facetious either. That's exactly what I did, and I got what I asked for
We can all talk about supply and demand here, whether companies should be forced to do X or Y, and how Keynes got his 15 hour work week prediction so wrong, ad nauseam. But if you truly want something beyond the talk, like a more flexible work schedule, there's real ways to get it right now
It seems most memory systems are built ETL style, when they'd be better off ELT style. As the core memory systems and LLMs improve, you'd be better off querying from raw source information rather than whatever consolidation of that information was deemed appropriate at the time. That is, just store it all compressed, then build (or rebuild) the memories as new information enters or as architecture evolves
For me personally, I used an LLM to build out a financial model with different macro and financial input variables (e.g. mortgage rates, if I rented rooms, HOA, home appreciation rate, etc). These factors changed my projected return differently on a 10, 30, 50 year time horizon for renting vs owning
I recommend everyone who's making this decision to do something similar as an additional perspective. So many variables will be dependent on location, personal finances, and goals
Not really but they jump right out at you after a few minutes chatting with it. I also asked the AI and it was pretty subjectively accurate, especially if you force it to cross reference with web searches and especially google's ngram corpus (you can readily see that 'delve' and some of the other rhetorical constructs are quite uncommon in human speech)
Not even a teeny weeny bit of spying on your allies?
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