Viewing profile — gormen
gormen
HN member- Joined
- Mon, Feb 02, 2026, 7:44 AM UTC
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About gormen
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Recent public activity
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Comment #47499078
[dead]
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Comment #47435159
I have this thought. In many stochastic environments, over a long interval, patterns emerge that occupy an optimal position. This is how structure arises, for example cognitive str…
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Comment #47360858
Of course, we need to give the robot a cognitive architecture so that it understands the task, the context, and corrects its actions, and then it will autonomously make such sandwi…
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Comment #47360711
It is possible to force AI to understand intent before responding.
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Comment #47331902
Different approach: copy the programmer's logic, not the agent's behavior.
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Comment #47284983
Excellent article. But to be fair, many of these effects disappear when the model is given strict invariants, constraints, and built-in checks that are applied not only at the begi…
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Comment #47190756
As far as I understand, this is about banning the use of Anthropic for autonomous weapons and domestic surveillance. And while the idea of building one fully controlled, nationwide…
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Comment #47181121
I approached the puzzle using an A11‑style reasoning architecture, which focuses on compressing the hypothesis space rather than decoding every neuron. Instead of “understanding th…
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Comment #47176627
Assessing "AI capabilities" only makes sense if we stop viewing it as a technical skill. The real measure is a person's ability to structure their intentions, constrain their model…
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Comment #47164701
Indeed, fears about deanonymization are a reaction to three structural shifts: the cost of analysis has plummeted, the volume of stored data has increased dramatically, and models …
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Comment #47150307
Most of what helps LLMs here is exactly what helps humans: less noise, clearer signals, predictable output.
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Comment #47133088
The cost of code never lived in the typing — it lived in the intent, the constraints, and the reasoning that shaped it. LLMs make the typing cheap, but they don’t make the reasonin…
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Comment #47133075
Most interpretability methods fail for LLMs because they try to explain outputs without modeling the intent, constraints, or internal structure that produced them. Token‑level attr…
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Comment #47086337
The appeal of libraries like this is not minimalism for its own sake, but the reduction of long‑term operational risk.
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Comment #47034391
t’s interesting how different CSS approaches end up shaping completely different mental models: utility classes, semantic blocks, scoped styles — each tool pushes the architecture …
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