Is it inflammatory if it's true? Seems rather embarrassing (but fitting for 2026 America) to shy away from painful truths because they're uncomfortable.
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heyitsguay commented on · Posted by u/wahnfrieden
heyitsguay commented on ChatGPT's porn rollout raises concerns over safety and ethics observer.co.uk/news/natio... · Posted by u/haritha-j
Are they creating God or are they creating an ad serving porn machine?
I don’t see how the answer can be both.
Moloch!
heyitsguay commented on Why didn't AI “join the workforce” in 2025? calnewport.com/why-didnt-... · Posted by u/zdw
I work in insurance - regulated, human capital heavy, etc.
Three examples for you: - our policy agent extracts all coverage limits and policy details into a data ontology. This saves 10-20 mins per policy. It is more accurate and consistent than our humans - our email drafting agent will pull all relevant context on an account whenever an email comes in. It will draft a reply or an email to someone else based on context and workflow. Over half of our emails are now sent without meaningfully modifying the draft, up from 20% two months ago. Hundreds of hours saved per week, now spent on more valuable work for clients. - our certificates agent will note when a certificate of insurance is requested over email and automatically handle the necessary checks and follow up options or resolution. Will likely save us around $500k this year.
We also now increasingly share prototypes as a way to discuss ideas. Because the cost to vibe code something illustrative is very low, an it’s often much higher fidelity to have the conversation with something visual than a written document
Thanks for this answer! I appreciate the clarity, I can see the economic impact for your company. Very cool.
heyitsguay commented on Why didn't AI “join the workforce” in 2025? calnewport.com/why-didnt-... · Posted by u/zdw
I recall someone saying stories of LLMs doing something useful to "I have a Canadian girlfriend" stories. Not trying to discredit or be a pessimist, can anyone elaborate how exactly they use these agents while working in interdependent projects in multi-team settings in e.g. regulated industries?
Agreed. I've never seen a concrete answer with an outcome that can be explained in clear, simple terms.
heyitsguay commented on Scripts I wrote that I use all the time evanhahn.com/scripts-i-wr... · Posted by u/speckx
I think it's more likely to say that this comes from a place of laziness than some enlightened peak. (I say this as someone who does the same, and is lazy).
When I watch the work of coworkers or friends who have gone these rabbit holes of customization I always learn some interesting new tools to use - lately I've added atuin, fzf, and a few others to my linux install
I went through a similar cycle. Going back to simplicity wasn't about laziness for me, it was because i started working across a bunch more systems and didn't want to do my whole custom setup on all of them, especially ephemeral stuff like containers allocated on a cluster for a single job. So rather than using my fancy setup sometimes and fumbling through the defaults at other times, i just got used to operating more efficiently with the defaults.
I think people have a lot of rosy glasses and fondness for those early days, combined with general usability benchmarks being mostly saturated now. GPT-3.5 would say Dallas was the capital of USA, but GPT-4 got it every time!
GPT-4 launched with 8k context. It hallucinated regularly. It was slow. One-shotting code was unheard of, you had to iterate and iterate. It fell over even doing basic math problems.
GPT-5 thinking on the other hand is so capable that the average person wouldn't be able to really test it's abilities. It's really only experts operating in their domain who can find it's stumbling blocks.
I think because we have seen these constant incremental updates that it creates a staircase with small steps, but if you really reflect and look back, you'll see the actual capability gap from 3.5 to 4 compared to 4 to 5 is way way smaller. This is echoed in benchmarks too, GPT-5 is solving problems so wildly beyond what GPT-4 was capable of.
What problems?
I feel that the likely answer here is that instrumenting real-time spending limit monitoring and cut-off at GCP/AWS scale is Complicated/Expensive to do, so they choose to not do it.
I suppose you could bake the limits into each service at deploy time, but that's still a lot of code to write to provide a good experience to a customer who is trying to not pay you money.
Not saying this is a good thing, but this feels about right to me.
Pass a law requiring cloud compute providers to accept a maximum user budget and be unable to charge more than that, and see how quickly the big cloud providers figure it out.
heyitsguay commented on A PM's Guide to AI Agent Architecture productcurious.com/p/a-pm... · Posted by u/umangsehgal93
I use agents to do so much stuff on my computer, MCPs are easy to roll so you can give them whatever powers you want. Being able to just direct agents to do stuff on my computer via voice is amazing. The direct driving still sucks so they're not a general UI yet, and the models need to be a bit more consistent/smarter in general, but it'll be there very soon.
What do you do with agents?
Bravo, quaternion is the (only) way to go, the sooner UAV/UAS system designer realize this the better.