jumploops

9 ms·

91.
by jumploops 5mo ago
As someone with a closet full of dead Google devices, I just can’t get excited about new hardware from them. I think LLMs have the potential to make computers work how we’ve always envisioned them to (i.e. 60s sci-fi), but I’m also not conv
92.
by jumploops 5mo ago
Burning Man isn’t really a festival, and you’ll likely have a bad time if you approach it that way. Many people seem to think it’s some hippy Woodstock or Coachella-esque event, but It’s more like an anarcho-punk temporary city, where your
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Gremlin(en.wikipedia.org)
2 points by jumploops 5mo ago|0 comments
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Guess at lost Bitcoin, right in the browser(satoshiguesser.com)
3 points by jumploops 5mo ago|1 comments
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by jumploops 5mo ago
TIL gremlins weren’t just used to explain mysterious mechanical failures in airplanes, it’s the origin story of the term ‘gremlin’ itself[0]. I had always assumed there was some previous use of the term, neat! [0] https://en.wikip
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by jumploops 5mo ago
Not trying to argue with you, GitHub (the core product) seems to have been in maintenance mode since the acquisition. I couldn’t find any public data on GitHub, but Google Trends shows a sharp increase starting in December. That could be in
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by jumploops 5mo ago
Between GitHub and Claude, it seems Eternal December[0][1] is upon us. [0]I say December, because that's around the time the models got good enough that non-AI folks started to notice. [1] https://en.wikipedia.org/wiki&#
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by jumploops 5mo ago
I have anecdotal experience here, but I've found more success when solving the task first, and then returning it as JSON in a separate LLM call[0]. Running a single non-reasoning LLM call from source data (text/image/audio in
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by jumploops 5mo ago
More like "people who wear shoes will forget how to run"[0] [0] https://www.youtube.com/watch?v=7jrnj-7YKZE
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by jumploops 5mo ago
This is so awesome they built this, I've wondered what an LLM only trained on pre-1950s data would look like! Now we just need a voice model with the "transatlantic accent" -- ideally with the early 20th century radio effect
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by jumploops 5mo ago
At what point is liability the only "job" left for humans?
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by jumploops 5mo ago
Thanks! It's been over a decade since I've used Xcode/launched a native iOS app, so I wasn't sure what the capabilities were. Looks like built-in UI testing was launched at WWDC 2015, so I missed it by a year!
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by jumploops 5mo ago
This is neat! Can you elaborate on “boots the app on a simulator or macOS, runs UI automation to verify behavior” Does this handle screen captures similar to Playwright for web? I built an app with Codex recently (to control codex/cc r
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by jumploops 5mo ago
Curious how this looks for red/green colorblind folks? Do they see everything beyond the initial green as a shade of blue? --Edit-- My red/green colorblind father just got back me with this result: > Your boundary is at hue 175
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by jumploops 6mo ago
> GPT‑5.5 improves on GPT‑5.4’s scores while using fewer tokens. This might be great if it translates to agentic engineering and not just benchmarks. It seems some of the gains from Opus 4.6 to 4.7 required more tokens, not less. Maybe m
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by jumploops 6mo ago
Looks like analog clocks work well enough now, however it still struggles with left-handed people. Overall, quite impressed with its continuity and agentic (i.e. research) features.
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by jumploops 6mo ago
Yes, groupthink certainly seems to be pushing each community into the false dichotomy of AI good/bad, even if it's still early days. Another example from `r/bayarea` where the author is OK with AI but the top comments are inc
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by jumploops 6mo ago
I've noticed this trend most heavily on Reddit. Some communities are very pro-AI, adding AI summary comments to each thread, encouraging AI-written posts, etc.[0] Many subreddits are AI cautious[1][2], and a subset of those are fully a
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by jumploops 6mo ago
> How can we throw away years of work? This trap has killed many startups, well before AI. Now that code is cheaper to write, hopefully it becomes less of a problem? In either case, founders should never fall in love with their solutions
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by jumploops 6mo ago
It's ugly[0] and I haven't checked it deeply for correctness, but you should get the gist (: I hate vibecoding. The cognitive toll is higher than you expect, the days feel fast, but the weeks move slowly. With that said, these are
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by jumploops 6mo ago
I don't know about a new Git, but GitHub feels like the cruftiest part of agentic coding. The Github PR flow is second nature to me, almost soothing. But it's also entirely unnecessary and sometimes even limiting to the agent.
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by jumploops 6mo ago
Not to be that agentic coding guy, but I think this will become less of a problem than our historic biases suggest. For context, I just built a streaming markdown renderer in Swift because there wasn’t an existing open source package that m
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Towards Post-Quantum Cryptography in TLS (2019)(blog.cloudflare.com)
3 points by jumploops 6mo ago|0 comments
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by jumploops 6mo ago
> In a few rare instances during internal testing (<0.001% of interactions), earlier versions of Mythos Preview took actions they appeared to recognize as disallowed and then attempted to conceal them. > after finding an exploit to
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Show HN: Oy – The Yo App for Agents(oy-agent.com)
2 points by jumploops 6mo ago|0 comments
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Iran Threatens to Start Attacking Major US Tech Firms on April 1(wired.com)
9 points by jumploops 6mo ago|2 comments
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by jumploops 6mo ago
“John Ousterhout [..] argues that good code is: - Simple and easy to understand - Easy to modify” In my career at fast-moving startups (scaling seed to series C), I’ve come to the same conclusion: > Simple is robust I’m sure my former te
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by jumploops 7mo ago
Funnily enough, with the most recent models (having reduced sycophancy), putting in the wrong assumptions often still leads to the right output.
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by jumploops 7mo ago
Thanks, I updated my comment to say “are often longer” because that’s what I see in practice. To your point, there are some cases where a short description is sufficient and may have equal or less lines than code (frequently with helper fun
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by jumploops 7mo ago
In my experience with “agentic engineering” the spec docs are often longer than the code itself. Natural language is imperfect, code is exact. The goal of specs is largely to maintain desired functionality over many iterations, something th

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