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Harness Engineering 101: The LLM is the brain, the harness is the body

https://github.com/IsuruMaduranga/harness-engineering-101
39•isuruwijesiri•1h ago

Comments

prologic•45m ago
Good set of resources here!
rrook•42m ago
Hah! I'm using bodily biological metaphors in a dynamic harness kinda project: https://hale-lang.org/docs/parts/organism/
ahmedfromtunis•22m ago
That's way too much metaphors to keep track of, to the point where it turns into a hindrance to comprehension rather than a facilitator.
redanddead•39m ago
More and more I think about the article asking why we didn't have LLMs in 2005
jebarker•31m ago
I don’t understand why this article makes you ask that, can you elaborate? The simple answer to why we didn’t have LLMs in 2005 is that nobody had the requisite ideas that make them work effectively (independent of any agentic harnesses and Schmidhuber notwithstanding) and there wasn’t sufficient clarity in the direction to scale for anyone to build anything at scale (also a requisite for them working well).
tshaddox•22m ago
Surely the only problem isn’t the knowledge of how to train and the confidence it would work. Wouldn’t it also have required a 1 or 2 order of magnitude increase in computing power over 2005-era supercomputers to be able to train a modern LLM in a reasonable time (“reasonable” meaning “finish training before GPT-3 comes out in 15 years”)?
bananaflag•20m ago
And also "the whole Internet" (including scanned books etc.) on which to train was much smaller.

On the other hand, Google was openly collecting data with a view towards building AI.

jebarker•19m ago
I think it’s plausible that attention could have been invented earlier and GPT demonstrated at smaller scale on earlier hardware. Then hardware timelines might have accelerated (or alternative approaches explored) and we’d have gotten to where we are earlier.
nolist_policy•12m ago
We had genetic programming though, and with the right harness you could accomplish impressive results: https://dl.acm.org/doi/abs/10.1145/2771783.2771796

You could view LLMs as a super-charged mutation function inside a genetic programming harness.

CharlieDigital•33m ago
Better analogy:

    The LLM is the oven, the harness is the kitchen.  You prep all your ingredients and put it into the oven (flour, water, salt, sugar).  It transforms those inputs into a finished product (cake, loaf of bread).
flir•14m ago
Nah, that's a single event ("bake"). Interaction of a harness and an LLM could potentially be a continuous process.

I don't think we've scratched the surface of how the harness can fold, spindle and mutilate the LLM. It just seems unlikely to me that we happened to stumble on the best possible interface a couple of years out of the gate.

keyle•30m ago
I made it to row 5 until I read "Load-Bearing". <EOF>
julianlam•23m ago
Engineers outsourcing their writing is a strong signal they don't care nearly enough about their content.

You can make the argument that some eng aren't good at writing, to which I say — it's worthwhile to improve writing skills.

tarkaTheRotter•2m ago
Amen to that. Slop incoming!
reedf1•22m ago
LLM slop
jgeada•13m ago
Don't anthropomorphize computers, they don't like it.

Why this spate of pretending, against all evidence, that LLMs are alive, or even remotely structured like biological brains?

Why do we have so many people pretending, or disingenuously claiming, that they're alive, have thoughts, feelings, etc?

And why, oh why, do we have to read yet more LLM propaganda written by LLMs?

scosman•13m ago
Harness optimization is essential. Doesn’t matter how smart the model is if the tools you give it are ineffective, or the task is under defined. It needs invent the solution from first principles every time.

We did a harness optimization on Jev. Raw it was no where near as good as deekseek, but optimized it was significantly better and a tiny fraction of the cost. https://kiln.tech/blog/auto_optimizing_jev_with_autoresearch

PetriCasserole•11m ago
LLM is to harness as Krang is to his android body.

KoSend – Send books from Android to KOReader without a PC or cables

https://github.com/FedericoDiTosto/KoSend
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