trjordan

11 ms·

91.
by trjordan 1y ago
We've been building out our agent [0], and we've found this to be the case. We actually dialed it back a bunch, because it feels _terrible_. Yes, you get more correct answers, but it's more akin to giving the agent anxiety. E
92.
by trjordan 1y ago
No fun to have to do a panic migration! Anyway my latest startup is trying to make AI do migrations, in no small part because of this problem 15 years ago.
93.
by trjordan 1y ago
Man, my first startup in 2010 used protovis, the charting library Mike Bostock built before deciding d3 was the better approach. It was rough to have an 8 month old startup with a core piece of tech that suddenly stopped improving. My main
94.
by trjordan 1y ago
A few of these points are right, but a lot of it is so far lost from the reality of LLMs that it isn't even wrong. Yes: structure beats vibes. Primacy/recency bias is real. Treating prompts as engineering artifacts is empirically
95.
by trjordan 1y ago
Of course there's no 0-risk version of any of this. But in my experience, bugs tend to get introduced with features, then slowly ironed out over patches and minor versions. I want no security bugs, but as a heuristic, I'd strongly
96.
by trjordan 1y ago
There is absolutely a good reason for version ranges: security updates. When I, the owner of an application, choose a library (libuseful 2.1.1), I think it's fine that the library author uses other libraries (libinsecure 0.2.0). But in
97.
by trjordan 1y ago
I think the most interesting change Claude enables is letting AI try stuff. We do this all the time. I have this sense this works best in small teams right now, because Claude wants to produce code changes and PRs. Puzzmo, where OP works, i
98.
by trjordan 1y ago
I love the innovation. The basic idea here appears to be: - Nobody wants this to be closed source. The code is freely available, and you may do with it as you want. The marginal cost to distribute the code is 0, after all. - The maintainers
99.
You Have to Decide(tern.sh)
3 points by trjordan 1y ago|0 comments
100.
by trjordan 1y ago
The core argument here is: LLM docbots are wrong sometimes. Docs are not. That's not acceptable. But that's not true! Docs are sometimes wrong, and even more so if you could errors of omission. From a users perspective, dense &#x2
101.
by trjordan 1y ago
Seems like it could easily be training data set size as well. I'd love to see some quantification of errors in q/kdb+ (or hebrew) vs. languages of similar size that are left-to-right.
102.
by trjordan 2y ago
ChatGPT has 400m weekly users. X / Twitter has 600m. It's pretty popular!
103.
by trjordan 2y ago
If you like this kind of degeneracy, I tried AoC in Google Sheets this year. I only made it to Day 6, and not even both stars every day. I'm pretty confident my Day 7 solution is correct, but I hit per-cell character limits on longer i
104.
by trjordan 2y ago
If you don't want to scale the whole thing (why?), you can also deploy the monolith twice and route different API calls to different clusters. Slice and scale as much as you're willing, paying the price of deployment complexity an
105.
by trjordan 2y ago
The servers are already bought; the electricity cost is negligible for actual accidents. As mentioned in the post: the hosting providers don't actually pay marginal costs for transient mistakes, so neither should honest customers.
106.
by trjordan 3y ago
I don't think you're an outlier, but on the other side, "I watch Netflix on my laptop / iPad" is a _huge_ market. Yes, there's plenty of social watching experiences to be figured out, but solo watching is an en
107.
by trjordan 3y ago
Friends, please, click on the link. There's a long and interesting investigation that answers the question, which is presumably why this was posted.
108.
by trjordan 4y ago
Legibility also increases the ability for a large organization to chase singular ambitious goals. For example: software estimation is hard. It takes time, it's highly inaccurate (frequently by 2x or more), and rewarding good estimation
109.
by trjordan 5y ago
The article you linked basically answers your question. The standard model for defense companies isn't VC-friendly -- you're either building hardware with a limited ceiling, or you're building a consulting business that bills
110.
by trjordan 5y ago
As CTO, you probably don't have the time and space, structurally, to be a good developer. You have things to do that aren't a single project or feature! So of course other developers will be better at "being a developer"
111.
by trjordan 5y ago
Contrast to Apple, which uses a fully functional model: https://hbr.org/2020/11/how-apple-is-organized-for-innovatio... I find this evolution fascinating. It makes sense to me that the GM model worked for so long.
112.
by trjordan 5y ago
The interesting thing to me is that this indicates that investors largely believe founder-CEOs are the best CEOs for the company, long term. That’s new. I suspect that part of this is due to extended timelines to go public. Bezos never got
113.
by trjordan 5y ago
A database is the wrong solution to this problem. The problem is spam detection and blocking. This solution is simple and good. A developer on the receiving end of a "add an item to this list" bug report has a clear, well-trodden
114.
by trjordan 5y ago
I love this. It puts into (better) words my long-held belief that ideas do, in fact, matter. Startups live and die by their ideas. The nuance is that ideas can be detailed or abstract, and those details can be some combination of right&#x2F
115.
by trjordan 5y ago
This is terrible, obviously. Where possible, all EV makers should protect against this. Gas cars may not catch fire when they sit in a garage, but they're not perfectly safe. My parents' friend left the car on one night, by accide
116.
by trjordan 5y ago
The biggest simplification that I disagree with in this post is that impact rises monotonically. It's true that long-tenured engineers (if they're good) can do amazing things. Things that other engineers don't have the implic
117.
by trjordan 5y ago
This line of thinking ends with "companies are evil." It's not totally wrong, but it's perhaps not a useful framing. Businesses make money in all sorts of ways. Most big companies blend these together. NYTimes charges us
118.
by trjordan 5y ago
The opportunity cost is staggering. Not just of the people that do the work, but the cost of focus and top-level priorities over the years it takes to do the work. Everybody loves to cite DropBox here. The greater arc of DropBox is their pr
119.
by trjordan 5y ago
The Good Place (the show) took a try at this! It’s an exceptional show in many ways, and the final season spends a lot of time trying to solve this exact problem and grappling with its consequences. (I won’t spoil it for you, but Wikipedia
120.
by trjordan 6y ago
Because they may see that reducing the J&J supply to zero doesn’t meaningfully change the time to fully vaccinated. Because they may see that clotting worries would harm public trust in vaccines, delaying or preventing us from getting t

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