somesortofthing

5 ms·

31.
by somesortofthing 5mo ago
Not the article's main point but I've never liked the "google killing products" complaints. People always talk about how big companies fail because they're unwilling to take risks and just recommit to their areas of
32.
by somesortofthing 5mo ago
I think AI companies have actually broadly adopted the right strategy. There's no way to sugarcoat or hide that your company's pitch is "your salary is our TAM, btw our product is so powerful it might cause human extinction&q
33.
by somesortofthing 5mo ago
I have no experience in the CTF scene so I'm curious - why not lean in and design the puzzles with an AI harness like the one top teams use in the loop and use the(presumably) expert skills of the designers to patch up the holes until
34.
by somesortofthing 5mo ago
Agent-assisted programming is fundamentally the skill of directing and supervising agents. I don't see any reason to believe that working a job where you direct and supervise agents will make you any worse at directing and supervising
35.
by somesortofthing 6mo ago
It's bad code, but it's not pretending to be better than it is.
36.
by somesortofthing 6mo ago
I find AI code usually looks worse than it actually is. It's overly verbose, confusing, and littered with fallbacks that mean that if something goes wrong it falls through a million layers of try/catch and moves the stack trace
37.
by somesortofthing 6mo ago
Obviously the author's experience is a nightmare but what was this place like pre-AI ? I have a hard time believing people who are this willing to hand over all of their thinking to LLMs were doing anything productive beforehand.
38.
by somesortofthing 6mo ago
They contain broad overviews(throw some disease-causing bacteria in a sort of rainbow arrangement of increasingly more effective antibiotics, you'll usually get something that's at least very deadly even if it doesn't have pa
39.
by somesortofthing 6mo ago
Another asymmetric advantage for defenders - attackers need to burn tokens to form incomplete, outdated, and partially wrong pictures of the codebase while the defender gets the whole latest version plus git history plus documentation plus
40.
by somesortofthing 6mo ago
There's still the question of access to the codebase. By all accounts, the best LLM cyber scanning approaches are really primitive - it's just a bash script that goes through every single file in the codebase and, for each one a
41.
by somesortofthing 6mo ago
Traditional design doc review processes aren't perfect but I'll take them over Radical Ticket Anarchy any day of the week.
42.
by somesortofthing 6mo ago
What does "writing specs" here actually mean? Every agile project I've ever worked on has had a design doc that laid out architecture, the basic shape of contracts, dependencies and so on. In fact, the agile artifacts(tickets
43.
by somesortofthing 7mo ago
"Wildly successful but unpolished product first-to-market with a new technology gets dethroned by a competitor with superior execution" is a story as old as tech.
44.
by somesortofthing 7mo ago
There definitely is but even then, you can get a feel for a loop for more open-ended tasks too - you move forward until the model output starts to look handwavy/contradictory, then pause to talk to it/consult outside sources to im
45.
by somesortofthing 7mo ago
I used to feel this way but... honestly, I've found that pressing on with only a vague understanding of what's happening and then diving deep with the agent's own help if it keeps making bad decisions leads to more output of
46.
by somesortofthing 7mo ago
Am I wrong in thinking that an "exploits are free" environment massively favors the defender? Given that real-world exploits usually chain 0days, the attacker has to find the whole chain while the defender only needs to fix the we
47.
by somesortofthing 8mo ago
I interpreted it as "Allowing the LLM to add skills to itself as it completes a task doesn't provide a meaningful improvement over just letting it reason normally", which seems to be what the paper is fundamentally getting at
48.
by somesortofthing 8mo ago
Makes same-origin requests to github's frontend to fetch info about line counts(line count figures are only sometimes loaded into app state) - that's the only network calls it makes.
49.
by somesortofthing 8mo ago
https://github.com/dfialkov/pr-lines-viewed
50.
by somesortofthing 8mo ago
I'm reviewing PRs I wrote myself. Valid concern in a real org though.
51.
by somesortofthing 8mo ago
I suspect you don't need anything special for this. The GH API has support for reading comments from PRs. Maybe have it maintain a small local store to remember the IDs of the comments it's already read so it doesn't try to r
52.
Show HN: GitHub "Lines Viewed" extension to keep you sane reviewing long AI PRs(chromewebstore.google.com)
40 points by somesortofthing 8mo ago|43 comments
53.
by somesortofthing 8mo ago
I've found that Good Code is actually actively detrimental to agent performance. I suspect agent-written code is very comprehensible to agents(for example, agents love to define single-use variables because it lets them document the
54.
by somesortofthing 8mo ago
One thing that's missing from this is that the specification itself only matters insofar as it meets its own meta-specification of "what people will use/pay for". LLMs may have an easier time understanding that than wh
55.
by somesortofthing 1y ago
Biology is one of very few areas of science where you do just find free lunches sometimes. Human bodies are adapted to environments with harsh constraints about injuries, pathogens, temperature, energy usage, etc. The only catch to countera
56.
by somesortofthing 1y ago
Generating reports that are rarely read and almost always ignored seems like a great use case for AI. Performance reviewing is de facto zero-sum - once you've ranked the people in your bailiwick, there's no reason not to let the i
57.
by somesortofthing 1y ago
On the other hand, maybe one day "thinking without AI" will become as absurd a notion as "thinking without a brain".
58.
by somesortofthing 1y ago
Draw up the product roadmap such that you can claim maximum AI-ness while including as little of it as possible in the actual product. Sounds like the CEO doesn't have any technical objections to not using AI, he just wants the ability
59.
by somesortofthing 2y ago
Layoffs in particular are like this because they're planned very quickly by very small groups of people. Rumors of impending layoffs obliterate morale, so the people in charge do everything they can to maintain secrecy and minimize the
60.
by somesortofthing 2y ago
That's fair. It's more of a post-WWII peak. I've edited the post.

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