nikhilsimha · HackerTrans

nikhilsimha

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30 วันที่ผ่านมาdiscuss

Files that codex and any other coding agent has access to, should be opt-in NOT opt-out. I think codex is not the right layer to solve this if you want a sane(one-click) UX. We built our own internal sandboxing-terminal around claude and codex. Where a user-configured base-folder with low-risk code and creds is COPIED into the sandbox BEFORE new session creation. There were many other UX related reasons to build our own terminal. Can share more if anyone is interested.

5 เดือนที่ผ่านมาdiscuss

It is very common to find tables with 1000+ columns in machine learning training sets at e-commerce companies. The largest I have seen had over 10000 columns.

5 เดือนที่ผ่านมาdiscuss

easily the most memorable comment i have ever seen on hackernews so far. kudos good sir!

7 เดือนที่ผ่านมาdiscuss

usually when a sharp sensation arises in an area, there is a habitual tendency to counteract - unconsciously tense surrounding muscles or antagonistic muscles or switch posture etc.

the idea is to observe with clarity the counteraction and let the sharp sensation arise and pass without the counteraction/resistance.

ปีที่แล้วdiscuss

Not saying that our current approaches will lead to intelligence. No one can know.

It could very well be that the internal mechanism of our thought has an auto-regressive reasoning component.

With the full system effectively "combining" short term memory (what just happened) and "pruned" long-term memory (what relevant things i know from the past) and pushing that into a RAW autoregressive reasoning component.

It is also possible that another specialized auto regressive reasoning component is driving the "prune" and "combine" operations. This whole system could be solely represented in the larger network.

The argument that "intelligence cannot be auto-regressive" seems to be without basis to me.

> there is strong evidence that not all thinking is linguistic or sequential.

It is possible that a system wrapping a core auto-regressive reasoner can produce non-sequential thinking - even if you don't allow for weight updates.

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just skimmed the proposal, dont see how inline rendered f-strings are more complicated than the alternative.

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gotcha! thanks for the clarification

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So the writes are O(N) then - to keeps reads at O(1)?

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dumb question: how do z-sets or feldera deal with updates to values that were incorporated into the max already?

For example - max over {4, 5} is 5. Now I update the 5 to a 3, so the set becomes {4, 3} with a max of 4. This seems to imply that the z-sets would need to store ALL the values - again, in their internal state.

Also there needs to be some logic somewhere that says that the data structure for updating values in a max aggregation needs to be a heap. Is that all happening somewhere?

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i personally like nim’s approach to memory management - implicitly refcounted, but exposes clean manual memory management when needed

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great job on open sourcing!

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publicly funded research, but behind paywalls, was scraped to build the chatbot - by “china” not open ai, causes “people” to lose their s**t.

i do think ip infringement is not cool in general - but it doesnt seem right that geo research is private property.

2 ปีที่แล้วdiscuss

duckdb is mit licensed. [1]

datafusion is apache v2 licensed. [2]

pg_lakehouse built on top of data fusion is AGPL v3 + business licensed. [3]

[1] https://github.com/duckdb/duckdb/blob/main/LICENSE

[2] https://github.com/apache/datafusion/blob/main/LICENSE.txt

[3] https://github.com/paradedb/paradedb/blob/dev/LICENSE

Most companies won't touch AGPL v3 license. Maybe not a bad thing, but FYI.

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Nim?

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almost every button click is either powered by a model or guarded by a model.

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We don't accept hints yet - but we determine what to cache.

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To be pedantic, even in star schema - the dim tables are denormalized, fact tables are not.

I agree that my statement would be much better if used snowflake schema instead.

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"Imagine" is the operative word :-)

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These are reconstruction of features / columns that don’t exist yet.

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Normalization is overloaded. I was referring to schema normalization (3NF etc) not feature normalization - like standard scaling etc.