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Let’s state the obvious. You have an account that was just created. Are posting specific details internal to a company with what is typically a biased area. And now throwing vulgarities out. No credibility.
I’d put money behind what I say, would you?
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Let’s state the obvious. You have an account that was just created. Are posting specific details internal to a company with what is typically a biased area. And now throwing vulgarities out. No credibility.
Don’t really care fella. If you don’t believe it screenshot my posts and revisit in 6 months. I’d put money behind what I say, would you?
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> Will the big labs leave anything for external competition? No, why would they if they have the choice? > what happened to platformication of everything? Business happened. The web works differently from how it used to. The users are different. LLM inference and AI tools is a different core product from search and ads. That, and we have the benefit of hindsight now. Maybe a Google newsroom would've actually been a g…
This was their play all along with their unethical data collection practices: let others use the APIs to discover the applications, then use the data against them to offer integrated solutions in every vertical of interest. Cursor, once Anthropic’s biggest customer, was one of the early ones they screwed. They are also fighting for their lives because these insane valuations simply aren’t justified by being dumb pipe…
Will the big labs leave anything for external competition? This probably killed a thousand startups in this space. in the early internet you wouldn't see google creating their own news site or facebook building their own animal farm. what happened to platformication of everything?
Building a startup on an LLM is like building a house on a foundation of quicksand. As the LLM gets better it naturally erodes your moat. It's a completely different dynamic compared to the internet. It's why I'm watching this from the sidelines.
I have given up on trying to get through to him how bad of an idea this is. He's unemployed and has been working on this for over a year.
> We’re releasing ten ready-to-run agent templates for the most time-consuming work in financial services The templates being: pitch builder, meeting preparer, earnings reviewer, model builder, market researcher, valuation reviewer, general ledger reconciler, month-end closer, statement auditor, KYC (Know Your Customer) screener. Seems pretty scattershot. Reminds me of GPT Store.
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> Will the big labs leave anything for external competition? No, why would they if they have the choice? > what happened to platformication of everything? Business happened. The web works differently from how it used to. The users are different. LLM inference and AI tools is a different core product from search and ads. That, and we have the benefit of hindsight now. Maybe a Google newsroom would've actually been a g…
I'm confused because I remember using Google News in 2006?
Will the big labs leave anything for external competition? This probably killed a thousand startups in this space. in the early internet you wouldn't see google creating their own news site or facebook building their own animal farm. what happened to platformication of everything?
History suggests otherwise. railroads, telecoms, search all consolidated. The natural equilibrium for transformative infrastructure is winner take all. AGI/ASI won’t be different but will be nearly every vertical and governments will legislate too little too late.
There isn't going to be any moat for the hosted providers besides hardware scale. They can run your request on shared 1TB memory hardware, or whatever.
But local hardware is going to catch up, the hosted providers are going to become commoditized, and the costs are just going to be compute whether its your hardware or theirs.
And your laptop is going to be powerful enough to be good enough for most cases.
Better Call Saul when (not if) it does.
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I guess the argument is that a tool built by a company with actual insight into and focus for financial services, with Anthropic as inference provider, would lead to more adoption and more use of Anthropic models. Something Anthropic could achieve either by just leaving things alone and having the best models, or alternatively by starting some kind of incubator or something. AWS might be a good model The issue with t…
Why would anthropic at all prefer this approach when that middle man can switch and cost-arbitrage between countless other model providers. We're not talking about what is best for the consumer (ex more competition to force iterations and improvements), but what Anthropic thinks is best for Anthropic.
But I doubt staying a pure model provider is a winning move. It's a market nobody will win long-term. Almost all of the value to be captured isn't in inference APIs but in how to use them to generate business value. Claude Code was already the right approach, they "just" need to show they can repeat this for other kinds of tasks
> We’re releasing ten ready-to-run agent templates for the most time-consuming work in financial services The templates being: pitch builder, meeting preparer, earnings reviewer, model builder, market researcher, valuation reviewer, general ledger reconciler, month-end closer, statement auditor, KYC (Know Your Customer) screener. Seems pretty scattershot. Reminds me of GPT Store.
the details are key here. there is plenty of automatable financial work, sure, but also when it comes to reporting finances/costs (formally or informally) and having a real human being be accountable for them, you REALLY need to trust that nothing is hallucinated. Any idea how they ensure this doesnt happen? As in, how can a user verify that the model did not touch any of the numbers and that it only built pipelines…