[HN Gopher] An AI-first program synthesis framework built around...
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An AI-first program synthesis framework built around a new
programming language
Author : tosh
Score : 48 points
Date : 2025-08-09 15:36 UTC (7 hours ago)
(HTM) web link (queue.acm.org)
(TXT) w3m dump (queue.acm.org)
| sys13 wrote:
| Glad to see focus being put on keeping humans in the drivers
| seat, democratizing coding with the help of AI. The syntax is
| probably still too verbose to be easily accessible, but I like
| the overall approach.
| AIPedant wrote:
| I know ACM Queue is a non-peer-reviewed magazine for
| practitioners but this still feels like too much of an
| advertisement, without any attempt whatsoever to discuss
| downsides or limitations. This really doesn't inspire confidence:
| While this may seem like a whimsical example, it is not
| intrinsically easier or harder for an AI model compared to
| solving a real-world problem from a human perspective. The model
| processes both simple and complex problems using the same
| underlying mechanism. To lessen the cognitive load for the human
| reader, however, we will stick to simple targeted examples in
| this article.
|
| For LLMs this is blatantly false - in fact using "apples" for the
| examples instead of "used textbooks" is measurably more likely to
| result in an error! Maybe the (deterministic, Prolog-style)
| Universalis language mitigates this. But since Automind (an LLM,
| I think) is responsible for pre/post validation, naively I would
| expect it to sometimes output incorrect Universalis code and
| incorrectly claim an assertion holds when it does not.
|
| Maybe I am making a mountain out of a molehill but this bit about
| "lessen the cognitive load of the human reader" is kind of
| obnoxious. Show me how this handles a slightly nontrivial
| problem, don't assume I'm too stupid to understand it and
| demonstrate the happy path.
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