Comments URL: https://news.ycombinator.com/item?id=48927372

Points: 2

# Comments: 2

Comments URL: https://news.ycombinator.com/item?id=48221932

Points: 12

# Comments: 0

Yes, very long workflows with no checks in between will have high error rates. This is true of human workflows too (which also have <100% accuracy at each step). Workflows rarely have this many steps in practice and you can add review points to combat the problem (as evidenced by the author building 12 of these things and not running into this problem)

Comments URL: https://news.ycombinator.com/item?id=44445279

Points: 8

# Comments: 2

Comments URL: https://news.ycombinator.com/item?id=44443337

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=40555271

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=39913834

Points: 1

# Comments: 0

There have been a number of solutions popping up to address this problem, and I think the need is very real. Decomposing these LLM tasks into subtasks seems to be one of the best ways to work around the shortcomings of LLMs in production apps (hallucinations, context window limits, etc). But then you end up with complicated pipelines that are difficult to debug, improve, reason about, etc.

Comments URL: https://news.ycombinator.com/item?id=38876026

Points: 5

# Comments: 0

Subject: GPT Store Launch

Dear GPT Builder,

We want to let you know that we will launch the GPT Store next week. If you’re interested in sharing your GPT in the store, you’ll need to:

- Review our updated usage policies and GPT brand guidelines to ensure that your GPT is compliant

- Verify your Builder Profile (settings > builder profile > enable your name or a verified website)

- Publish your GPT as ‘Public’ (GPT’s with ‘Anyone with a link’ selected will not be shown in the store)

Thank you for investing time to build a GPT.

- ChatGPT Team

Comments URL: https://news.ycombinator.com/item?id=38870249

Points: 85

# Comments: 65

At my last startup we had a lot of pain points around financial modeling, and it felt like 80% of the work we were doing in our models was the exact same thing that every other startup was doing, all so that we could model the last 20% that was truly unique to our business. It was also very hard to keep these models up to date, test out multiple scenarios, share models with investors without them immediately going stale, etc. I think there's also a great opportunity for you to look at the data from different startups in order to help give guidance re: best practices (e.g., "80% of startups in your category have a lower conversion rate than you - consider adjusting your expectations").

I've actually considered working on this problem myself, but TBH I have some concerns about the business model (e.g., I think it's going to be challenging to get startups to pay a significant amount of money for this on a recurring basis). I'm happy to see that someone is working on it though, and I'll be rooting for you guys!

Every other business that deals with the transfer of money (banks, for example) is expected to put strong measures in place to make sure that the money is traceable and that they're not helping criminals. Why shouldn't large companies like Target be held to a similar standard?

Moreover, the incentives here are very worrying. Yes this guy got scammed out of $3k, but Target also got $3k in revenue. Without some sort of penalty/punishment, Target is incentivized to do the bare minimum to minimize their PR exposure (which they can do by saying "we take this very seriously and have adopted some new policies" but not really acting on it) but to otherwise allow this to keep happening. As the prevalence of these gift card scams has skyrocketed, so have gift card sales for these large companies.

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TapFwd empowers marketers to access and share data with complete control. With TapFwd, marketers form private data sharing alliances with complementary brands to unlock entirely new, mutually beneficial ways to acquire customers.

To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/tapfwd

https://tapfwd.com/careers

Tech Stack: React, Ruby on Rails, Java, AWS

TapFwd empowers leading marketers to access and share data with complete control. With TapFwd, marketers form private data sharing alliances with complementary brands to unlock entirely new, mutually beneficial ways to acquire customers.

To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/tapfwd

Here are our open roles:

- Back-End Engineer: https://tapfwd.com/careers

- Full-Stack Engineer: https://tapfwd.com/careers

Tech Stack: React Ruby on Rails Java AWS

TapFwd empowers leading marketers to access and share data with complete control. With TapFwd, marketers form private data sharing alliances with complementary brands to unlock entirely new, mutually beneficial ways to acquire customers.

To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/tapfwd

Here are our open roles:

- Back-End Engineer: https://tapfwd.com/careers

- Full-Stack Engineer: https://tapfwd.com/careers

Tech Stack: React Ruby on Rails Java AWS