Recent submissions

Comment · 8 days ago
They work great, better than a fan because it clears the air.

I have one blowing gently across my face while I sleep. It cools me down, and blocks out the highway noise.

Comment · 9 days ago
Haven't you seen the lord of the rings? Cut down the trees at your own risk
Comment · 14 days ago
Fortran certainly has its place, but if you really need to squeeze every bit of performance out of a machine I think assembly might be better and not much harder.
Comment · 14 days ago
Just wait until super-duper intelligence
Comment · 16 days ago
Fortran while historically important doesn't really seem like a good choice today.

I worked with a proprietary jet engine analysis software suite written in Fortran 77 and It felt very primitive, albeit fast.

Today I feel like C is a much better choice for speed and readability.

If you really need the fastest performance I dont think Fortran gives that much of an advantage writing assembly.

Comment · 16 days ago
Richard Simmons, what a guy
Comment · 2 months ago
It appears y combinator has removed this interesting paper from its top trending position. Gee I wonder why?
Comment · 2 months ago
If most models were getting 100% on the test it would be an inadequate benchmarks.

What were seeing is all models failing to ace these tests.

"Benchmark Saturation" is term that promotes lowering the bar.

Comment · 2 months ago
Benchmarks saturate around 80-90%?

This is not "Acing" a test, this is hitting a wall.

Comment · 2 months ago
Jumping in here, frankly I hate the trend of calling every type of automation intelligence.

Most "AI" is really an optimization algorithm in software tools, same as its always been. This really isnt anything new, aside from adding a chatbot / MCP interface to the same tools.

Comment · 2 months ago
Its not really that surprising when models are trained on the exams
Comment · 2 months ago
This seems to be the end of the road for LLM's. There's only so much accuracy on a highly non-linear space you can get from a regression.

If the Pareto rule is any indicator, 80% of results come from 20% of causes. It seems that we have alot more to learn about intelligence.

I am reminded of a statement on truth from an ancient philosopher, this sentiment seems to be exactly the opposite of the LLM training paradigm

“The seeker after truth is not one who studies the writings of the ancients and, following his natural disposition, puts his trust in them, but rather the one who suspects his faith in them and questions what he gathers from them, the one who submits to argument and demonstration and not the sayings of human beings whose nature is fraught with all kinds of imperfection and deficiency. Thus the duty of the man who investigates the writings of scientists, if learning the truth is his goal, is to make himself an enemy of all that he reads, and, applying his mind to the core and margins of of its content, attack it from every side. he should also suspect himself as he performs his critical examination of it, so that he may avoid falling into either prejudice or leniency.” - ibn al-Haytham

Comment · 3 months ago
It wont go down willingly but its possible

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