I thought Kaggle was a website where you download dubious CSV files of annualized bean consumption in Bolivia, or whatever. Was Kaggle ever a reputable source of original research, or a source of anything with any provenance at all? That would be news to me. The fact that 25 grand was involved this time is unique, I guess.
They also host the arc prize challenge with prices up to 850k https://www.kaggle.com/competitions/arc-prize-2026-arc-agi-3...
Evidence of inconsistencies in evaluation process and selection of winners
331–338 of 338 posts
Re: Evidence of inconsistencies in evaluation process and selection of winners
#332Please note this Post was just renamed without my involvement from: Blatant AI slop just won a 25K USD Deepmind Kaggle Grand Prize into "Evidence of inconsistencies in evaluate process and selection of winners"
No AI-negative posts on HN please lol.
Re: Evidence of inconsistencies in evaluation process and selection of winners
#333Earlier quoted context omitted.
FWIW, this isn't unique to capital. The same 'get a thing that ticks a box out of the door as fast as physically possible even if it's AI slop' thinking is everywhere in grant-funded academic communities as well.
> grant-funded Capital.
Re: Evidence of inconsistencies in evaluation process and selection of winners
#334Re: Evidence of inconsistencies in evaluation process and selection of winners
#335[flagged]
Someone might want to downvote you because you just state something which is very controversal and you do not add any arguments to your 'empty' comment. Its hard to even have a discussion because someone else needs to give you enough content like ask you first why do you even think that. So how do you define AI? LLMs? GenAI stuff? What is 95%? Does it mean that these 5% are unable to disrupt industries or does it mea…
Re: Evidence of inconsistencies in evaluation process and selection of winners
#336AI is useful. But the amount of people that are simply offloading all of their thinking to AI and blindly accepting the answer is absurd. Kaggle is most likely using ai to assess the submissions and are not using any common sense by blindly accepting the results.
I think we need to address the underlying causes of people outsourcing their thinking like that. And a big contribution is “move fast.” No one has time to read, process, and think, because The Powers That Be (capital) want their results now.
Employers are trying to turn all workers everywhere in every industry into completely fungible atomatons. This maximises the candidate pool and drives wages to a minimum. Employees who demand humane working conditions can be canned and replaced with someone more desperate.
In their ideal world we would basically bring back feudalism.
Re: Evidence of inconsistencies in evaluation process and selection of winners
#337Earlier quoted context omitted.
Visicalc was released 2 years after the Apple II was released. Visicalc changed the world for the better faster than AI has up to this point.
Anthropic released Claude in March 2023. Claude Code was released in February 2025. I'd say Claude Code had about as much impact as Visicalc.
Re: Evidence of inconsistencies in evaluation process and selection of winners
#338Earlier quoted context omitted.
A "passing glance" is nowhere near good enough. Just as software developers must be held accountable for every line of code they check in, product managers must be held accountable for every word in their PRDs. LLMs can speed up some parts of the design and delivery process but humans still bear responsibility.
i meant "passing glance" at the _very very least_ where anything > 0 is so much better than 0. I have people just blindly offloading pretty important analysis to LLM without any review whatsoever and it's super annoying and counter productive resulting in a lot of rework. I've covered refinement with developers trying to meet AC that make no sense. Many times i've just deleted parts of AC (which is a no-no where i li…