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FWIW, OpenAI has an offering called “Solutions for financial services”: https://openai.com/solutions/financial-services/
Why are both AI giants choosing to pay attention specifically to this space out of all other spaces they could choose to focus on?
Much of the work is repetitive or formulaic or error prone. Plus it’s all digital.
FWIW, OpenAI has an offering called “Solutions for financial services”: https://openai.com/solutions/financial-services/
Why are both AI giants choosing to pay attention specifically to this space out of all other spaces they could choose to focus on?
Finance and engineering both have a degree of verifiably. Building evals around finance is easier than, e.g., marketing work.
Earlier quoted context omitted.
I've been thinking that for some time. Its a "looser way" to describe what you want as a different modality; a dynamic interface if you will. Even with code editors I've found its good to generate a lot of volume, but the detail still needs iteration or going back to direct instruction (i.e. code/clicking/etc). That applies to any artifact where iteration and validation is required to get it right. Instead of determi…
Maybe the problem in framing AI as an interface is that there isn't that much money in an "interface" is there? Like there is no money in "GUI". There is a lot of work that each company wanting to build a good GUI app needs to put into their particular app. And the more specialized the app, the more custom and potentially complex and expensive that will be. But there are no "GUI companies", unless you count Microsoft…
My view is that AI, even if it is like a human, shares some of the weaknesses of a human in that it needs to be selective about relevant information. Frontends/UIs generally do this as well for specific use cases/workflows - there's a limit of what you can display on a screen after all. UI's aren't big data (humans can only see a couple of screens worth of summarized data to be useful).
This IMO at least in the short term affects the design of AI applications in general as well.
FWIW, OpenAI has an offering called “Solutions for financial services”: https://openai.com/solutions/financial-services/
Why are both AI giants choosing to pay attention specifically to this space out of all other spaces they could choose to focus on?
I think their vending machine project might need to succeed before you should trust Claude for investment advice: https://www.anthropic.com/research/project-vend-1 Fun aside, finance and code can both depend critically on small details. Does finance have the same checks (linting, compiling, tests) that can catch problems in AI-generated code? I know Snowflake takes great pains to show whether queries generating repor…
That’s a huge pain in the neck if you want to compare companies, worse if they are in different regulatory regimes. That’s the kind of thing I have found LLMs to be really good for.
The more and more AI projects I see both at work and online, the more convinced I'm that I should treat AI as an application interface, that's all. It's a slightly different modality for the application. Nothing AI does wasn't possible before. You could always "create a price performance chart showing a stock's movement with key events annotated since May". You could also always buy dozens of software that will not j…
Nothing any technology does wasn't NOT possible before that tech went mainstream. The point being tech saves time/cost and boosts productivity. For e.g. if you would have been able to find a webpage in an hour before, search made it easier to find that webpage. Similarly, AI synthesizes webpages and information for you.
That is the point of technology. If you could reach from point A to point B, using a bicycle, car, train or an aeroplane, each has its own use case at its own value and price point. Each such tech saves time/cost. To say that is is only a different modality, fails to capture the value add.
I think their vending machine project might need to succeed before you should trust Claude for investment advice: https://www.anthropic.com/research/project-vend-1 Fun aside, finance and code can both depend critically on small details. Does finance have the same checks (linting, compiling, tests) that can catch problems in AI-generated code? I know Snowflake takes great pains to show whether queries generating repor…
I disagree. Claude may fail at running a vending machine business but I have used it to read 10k reports and found it to be really good. There is a wealth of information in public filings that is legally required to be accurate but is often obfuscated in footnotes. I had an accounting professor that used to say the secret was reading (and understanding) the footnotes. That’s a huge pain in the neck if you want to com…
It then _didn’t_ include a similar transaction (losing $7bn by exiting Brazil).
This was stuck in footnotes that many people who follow the company didn’t pick up.
" Please use the original title, unless it is misleading or linkbait; don't editorialize. " https://news.ycombinator.com/newsguidelines.html (Submitted title was "AI ate code, now it wants cashflows. Is this finance's Copilot moment?" - we've changed it now)
I think their vending machine project might need to succeed before you should trust Claude for investment advice: https://www.anthropic.com/research/project-vend-1 Fun aside, finance and code can both depend critically on small details. Does finance have the same checks (linting, compiling, tests) that can catch problems in AI-generated code? I know Snowflake takes great pains to show whether queries generating repor…
I disagree. Claude may fail at running a vending machine business but I have used it to read 10k reports and found it to be really good. There is a wealth of information in public filings that is legally required to be accurate but is often obfuscated in footnotes. I had an accounting professor that used to say the secret was reading (and understanding) the footnotes. That’s a huge pain in the neck if you want to com…
Earlier quoted context omitted.
Maybe the problem in framing AI as an interface is that there isn't that much money in an "interface" is there? Like there is no money in "GUI". There is a lot of work that each company wanting to build a good GUI app needs to put into their particular app. And the more specialized the app, the more custom and potentially complex and expensive that will be. But there are no "GUI companies", unless you count Microsoft…
Well… that’s not a bad analogy actually. Those companies became huge due to their GUI platforms - there was money there at the time. OpenAI & Anthropic would like to become huge on their “AI-UI” platforms.
Companies selling GUI toolkits in the 90s are all dead. No company made money on selling “GUI” as a technology. No one called Microsoft and Apple “the GUI companies”