814 karma · joined June 2, 2014
As you say, stats very often obfuscate.
Is this happening in/around NYC?
> Sure, I'll 'just take public transport' to go downtown, but the options significantly diminish if I want to travel from North Bay to South Bay to see my parents, or Jersey to South Brooklyn to visit my inlaws.
The are the same, you just have to pay the fee.
Also, for like 90% of NJ you'd be going the southern route into Brooklyn anyway, no congestion pricing involved.
https://en.wikipedia.org/wiki/Criticism_of_the_government_re...
This has always felt like a natural best use for LLMs - let them "figure something out" then write/configure a tool to do the same thing. Throwing the full might of an LLM every time you're trying to do something that could be scriptable is a massive waste of compute, not to mention the inconsistent LLM output.
I always saw Dia as fundamentally a move toward AI investor bux, but I did find the "Arc was too novel for large uptake" a reasonable perspective.
Atlassian, tho, has nothing for the regular every-day consumer, they make SaaS for business. So what's the deal?
My dream for Arc, from the beginning, was that it could act as a middle-man between all the various SaaS platforms we use daily at work. Imagine: your Shortcut tickets link automatically to Slack and you can one-click open the relevant Slack channel in a side-by-side view.
We do so much switching between contexts and imo the browser could be a great surface for improving our workflows.
"Tim Cook, was asked at the annual shareholder meeting by the NCPPR, the conservative finance group, to disclose the costs of Apple’s energy sustainability programs, and make a commitment to doing only those things that were profitable.
Mr. Cook replied --with an uncharacteristic display of emotion--that a return on investment (ROI) was not the primary consideration on such issues. "When we work on making our devices accessible by the blind," he said, "I don't consider the bloody ROI." It was the same thing for environmental issues, worker safety, and other areas that don’t have an immediate profit. The company does "a lot of things for reasons besides profit motive. We want to leave the world better than we found it.""
[0] https://www.forbes.com/sites/stevedenning/2014/03/07/why-tim...
Idk maybe it’s legit if your only view of the world is through capital and, like, financial narratives. But it’s not how Apple has ever worked, and very very few consumer companies would attempt that kind of switch let alone make the switch successfully.
Some companies actually have a lot to lose if these things go off the rails and can't just 'move fast and break things' when those things are their customers, or the trust their customers have in them.
My hope is that OpenAI actually does have a lot to lose; my fear is that the hype and the sheer amount of capital behind them will make them immune from real repercussions.
I think it’s great for long tail apps but I’m not at all sure what effect that will have, socially economically or culturally.
I can see huge utility in vibecoding as a front end for app customization — tell your BI platform to build you a dashboard with just the items you want, oh and add a button that opens our crm in a new window. Bespoke interfaces for existing, trusted platforms.
I love the idea that there’s some cyberpunk future waiting for us where there are no existing apps, just a way to construct utility on the fly. But imo it misses some core understanding of how people systems and apps actually work.
Imo you’re correct that they’re good enough if you scope your expectations appropriately. The problem is that the LLMs themselves don’t have any concept of their own limitations, leading to a kind of expectation creep. “Hey the bot was pretty good at helping me troubleshoot my fridge, lemme ask it for the names of the first 12 presidents I’m sure it’ll get that right.”
I think expectations and failure states for humans are far far easier to understand and suss out than for LLMs, and this is one of the robots’ biggest problems.
If this is "right enough" for you, I'm curious if you tell your bots to "go deeper" on every question you ask. And at what level you expect it to start telling you actual truths and not some oft-repeated lie.