patagonia is gonna to lose some clientele
Just yesterday I told a colleague that he should by some of their vests for his company :-D
91–100 of 212 posts
patagonia is gonna to lose some clientele
Just yesterday I told a colleague that he should by some of their vests for his company :-D
Next couple weeks - financial and insurance services announce layoffs!
Earlier quoted context omitted.
Claude's actually pretty great at this! I actually used to use Claude A LOT to answer interesting questions (which I'll be writing up on!) More generally, Claude is palpably different from most other agents. I'd recommend these models – especially Opus – without qualifications. But there's a process risk here based on their current practises. I'm hoping those practises change so that I can recommend Claude to everyon…
Before AI, shipping code to production used to be a two-person task: one writes the code, another one reviews the code. Now with AI writing the code, the developer that was supposed to write the code, only has to review it. And this is because they are responsible for the code they ship. Code review has become unbearable because before AI, developers were reviewing code as they went writing it in the first place. Gra…
But more often than not that developer ends up reviewing far more lines of code due to the typical verbosity of an LLM.
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?
> in the early internet you wouldn't see google creating their own news site Google News was definitely a thing (and actually still exists).
More industry exposure to well-managed agentic experiences will create oodles of opportunities to reduce premiums for consumers and offput some inflation-driven increases in cost of coverage.
As someone who has been interviewing lately, I think this is the next step after leetcode and whiteboard style interviews.
I don't trust these AI-only companies to be overnight experts in properly handling medical, financial and insurance data. They have no business providing these tools, unless they want to take all the risk too.
The only reason they are doing it is because there are regulation for people but not for machines.
Earlier quoted context omitted.
Before AI, shipping code to production used to be a two-person task: one writes the code, another one reviews the code. Now with AI writing the code, the developer that was supposed to write the code, only has to review it. And this is because they are responsible for the code they ship. Code review has become unbearable because before AI, developers were reviewing code as they went writing it in the first place. Gra…
> the developer that was supposed to write the code, only has to review it. But more often than not that developer ends up reviewing far more lines of code due to the typical verbosity of an LLM.
Earlier quoted context omitted.
To be honest I am having a hard time remembering the last time a LLM hallucinated in our pipelines. Make mistakes, sure but not make things up. For a daily recon process this is a solved problem imo.
Curious! Could you elaborate a little bit on your pipeline as we are currently looking to solve this for our internal processes in which we have to deal with lots of financial information from outside, containing mass of numbers, like annual reports, bank statements, balance sheets etc.
For anything math, it’s much more reliable to give agents tools. So if you want to verify that your real estate offer is in the 90–95th percentile of offerings in the past three months, don’t give Claude that data and ask it to calculate. Offload to a tool that can query Postgres.
Similar with things needing data from an external source of truth. For example, what payers (insurance companies) reimburse for a specific CPT code (medical procedure) can change at any time and may be different between today and when the service was provided two months ago. Have a tool that farms out the calculation, which itself uses a database or whatever to pull the rate data.
The LLM can orchestrate and figure out what needs to be done, like a human would, but anything else is either scary (math) or expensive (it using context to constantly pull documentation.)