KurSix

10 ms·

151.
by KurSix 9mo ago
That line triggered some deep memories of tweaking config files, dropping resolutions to something barely recognizable, and still calling it a win if the game technically ran
152.
by KurSix 9mo ago
I think the Pi still makes sense when you actually want a Pi
153.
by KurSix 9mo ago
This experiment really does feel like a poetic inversion
154.
by KurSix 9mo ago
Seeing real games and benchmarks makes it more than a party trick, even if the use cases are niche. The serious takes kind of miss that the point is to poke the stack and see where it breaks
155.
by KurSix 9mo ago
Overall, this feels less like "can you game on a Pi" and more like a practical stress test of today's ARM Linux gaming stack
156.
by KurSix 9mo ago
The lack of memory issue is already being solved architecturally, and ARTEMIS is a prime example. Instead of relying on the model's context window (which is "leaky"), they use structured state passed between iterations. It&#x
157.
by KurSix 9mo ago
I agree with the prediction. The key driver here isn't even model intelligence, but horizontal scaling. A human pentester is constrained by time and attention, whereas an agent can spin up 1,000 parallel sub-agents to test every wild h
158.
by KurSix 9mo ago
Note that gpt-5 in a standard scaffold (Codex) lost to almost everyone, while in the ARTEMIS scaffold, it won. The key isn't the model itself, but the Triage Module and Sub-agents. Splitting roles into "Supervisor" (manager)
159.
by KurSix 9mo ago
Mutation testing is becoming the only way to catch AI red-handed. Without mutations you'll be staring at a perfect CI/CD dashboard, unaware that your tests verify absolutely nothing Yeah, it burns CPU like crazy, but CPU time is d
160.
by KurSix 9mo ago
Exactly, we've basically trained an army of perfect corporate suck-ups. AI optimizes for the "least resistance at review" metric, not "logic correctness," so relying on eyeballs to check AI code right now is risky,
161.
by KurSix 10mo ago
This was inevitable, and it's not about being strict, but about banal technical limitations. Remote proctoring has always been security theater, but Vision LLMs combined with hardware solutions put the final nail in the coffin. The fun
162.
by KurSix 10mo ago
Goodhart's Law works on steroids with AI. If you tell a human dev "we need 100% coverage," they might write a few dummy tests, but they'll feel shame. AI feels no shame - it has a loss function. If the metric is "li
163.
by KurSix 10mo ago
Sounds like a dream, but there is a risk of a local maximum here. Strict linters and small files are great at helping the agent write syntactically correct code, but they don't guarantee architectural correctness. An agent can generate
164.
by KurSix 10mo ago
There's a catch with 100% coverage. If the agent writes both the code and the tests, we risk falling into a tautology trap. The agent can write flawed logic and a test that verifies that flawed logic (which will pass). 100% coverage on
165.
by KurSix 10mo ago
Owning your own site and using federated spaces like Mastodon is absolutely a healthier model, and I wish it were more viable for more people. But until discovery, reach, and social norms shift in a big way, a lot of folks are going to be s
166.
by KurSix 10mo ago
At that point, deleting an account stops being an act of exit and starts looking like a philosophical disagreement the platform simply ignores
167.
by KurSix 10mo ago
This is genuinely disturbing, and not in a vague "AI is weird" way but in a very concrete authorship-and-consent way
168.
by KurSix 10mo ago
But isn't that "auto-PTZ" exactly what changes the game here? Sure, there are plenty of open cameras, but usually, that's just a passive stream you have to stare at for hours to spot anything interesting. Here, we have a
169.
by KurSix 10mo ago
Fair point but there's a crucial nuance: state surveillance used to be limited by human resources. You couldn't assign an agent to every citizen - there aren't enough people. Flock with their AI tracking has effectively remov
170.
by KurSix 10mo ago
The problem goes even deeper than messy RBAC in a database. This story showed that the system's brains are pushed to the edge, and if you gain access to the device, you don't even need the central police database. You get a local,
171.
by KurSix 10mo ago
The most terrifying part here is the synergy between the AI feature and the security hole. An open stream from a static camera is one thing, but it's entirely different when you have an open-access AI agent that autonomously finds &quo
172.
by KurSix 10mo ago
That's not a niche power-user concern anymore, it's basic UX and safety
173.
by KurSix 10mo ago
When you've already lost most of your mass-market appeal, the only defensible strategy left is to double down on the people who still care
174.
by KurSix 10mo ago
The users most likely to leave are the ones who actively recommend Firefox to others and keep it installed on friends' and family's machines...
175.
by KurSix 10mo ago
The issue isn't the explicit "we won't do it," it's that it was framed as a concrete, priced option at all
176.
by KurSix 10mo ago
Mozilla's problem has never been a lack of monetization ideas, it's been a lack of ideas that don't undermine why Firefox exists in the first place
177.
by KurSix 10mo ago
I found a project that looks at how machine learning shows up in scientific papers. It covers about 5000 ML related articles from the Nature family of journals and tries to map out trends across countries, institutions, and research areas.
178.
A Visual Map of How ML is used in scientific research(airesearchtrends.com)
1 points by KurSix 10mo ago|2 comments
179.
by KurSix 10mo ago
The digital camera analogy is flawed. Digital sensors had a clear and measurable path to improvement: megapixels, ISO, dynamic range. LLMs have no such clear path to 'understanding' and 'reliability'. It's entirely
180.
by KurSix 10mo ago
That works great for a small greenfield project. Now try applying it to a million-line monorepo with three competing architectural patterns and a CI/CD pipeline that breaks if you look at it wrong. The real world of development is much

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