# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/vote-on-which-of-hacker-news-challenges-for-ai-have-been-met-49924618

# Vote on which of Hacker News' challenges for AI have been met

173 points · 208 comments

[Full discussion](<https://news.ycombinator.com/item?id=49924618>)

[Read original](<https://stoppels.ch/goalposts/>)

Category: [Industry & Society](<https://hacksnap.live/?category=industry-society>)

## Skept-o-meter & Hotness

Skept\-o\-meter: Low\. Estimated from 10 comments\.

8 comments for the summary\.

Peak rank: \#5

Time in Top 10: 22\.0 hours

Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\.

145 recorded rank observations from 2026\-10\-02T08:02:26\.819307\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\.

Hotness — latest 145 recorded Hacksnap ranks:

2026\-10\-02T08:02:26\.819307\+00:00: rank \#14

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2026\-10\-10T23:01:00\.95027\+00:00: rank \#161

The article page was unusable, so the debate rests on comments: whether AI predictions are precise enough to score, and whether shifting goalposts hide unmet claims\.

## The brief

The original article couldn’t be retrieved. This brief covers the discussion only.

## Discussion themes

Analyzed: 2026\-10\-02T15:02:00\.612585\+00:00

Analysis sample: Based on 33 of 33 usable stored comments. Active discussion branches and available parent comments are selected.

This sample may omit parts of the full thread. Selected themes do not measure community opinion or how common a view is.

### Clarity and validity of AI benchmarks and predictions

Commenters question whether AI predictions are specific enough to evaluate, note shifting goalposts and inaccurate summaries, ask how to measure API inference margins, and debate whether the Turing test is a valid or already\-solved benchmark\.

Sources: [Comment 49925231](<https://news.ycombinator.com/item?id=49925231>) · [Comment 49925072](<https://news.ycombinator.com/item?id=49925072>) · [Comment 49928850](<https://news.ycombinator.com/item?id=49928850>) · [Comment 49930251](<https://news.ycombinator.com/item?id=49930251>) · [Comment 49932487](<https://news.ycombinator.com/item?id=49932487>) · [Comment 49925667](<https://news.ycombinator.com/item?id=49925667>) · [Comment 49931162](<https://news.ycombinator.com/item?id=49931162>) · [Comment 49931334](<https://news.ycombinator.com/item?id=49931334>) · [Comment 49925400](<https://news.ycombinator.com/item?id=49925400>) · [Comment 49925479](<https://news.ycombinator.com/item?id=49925479>) · [Comment 49925907](<https://news.ycombinator.com/item?id=49925907>) · [Comment 49925979](<https://news.ycombinator.com/item?id=49925979>)

### LLM failures in coding, ASCII art, chess notation, arithmetic, and causal reasoning

Despite advances, LLMs still misidentify ASCII art, fail to infer chess scoresheet mistakes, make arithmetic errors, require supervision for code, and struggle with counterfactuals and causal world models\.

Sources: [Comment 49925509](<https://news.ycombinator.com/item?id=49925509>) · [Comment 49925827](<https://news.ycombinator.com/item?id=49925827>) · [Comment 49925003](<https://news.ycombinator.com/item?id=49925003>) · [Comment 49925318](<https://news.ycombinator.com/item?id=49925318>) · [Comment 49925253](<https://news.ycombinator.com/item?id=49925253>) · [Comment 49928000](<https://news.ycombinator.com/item?id=49928000>) · [Comment 49931275](<https://news.ycombinator.com/item?id=49931275>) · [Comment 49925979](<https://news.ycombinator.com/item?id=49925979>)

### Which tasks AI can reliably perform: business, coding, taxes, and chores

Debate over whether LLMs can handle all business tasks or arbitrary applications, with examples of tax filing and chores, and concerns about the need for human review\.

Sources: [Comment 49925072](<https://news.ycombinator.com/item?id=49925072>) · [Comment 49925318](<https://news.ycombinator.com/item?id=49925318>) · [Comment 49925253](<https://news.ycombinator.com/item?id=49925253>) · [Comment 49928373](<https://news.ycombinator.com/item?id=49928373>) · [Comment 49929007](<https://news.ycombinator.com/item?id=49929007>) · [Comment 49928517](<https://news.ycombinator.com/item?id=49928517>) · [Comment 49928204](<https://news.ycombinator.com/item?id=49928204>) · [Comment 49931275](<https://news.ycombinator.com/item?id=49931275>)

### Transparency and attribution in claimed AI math breakthroughs

Concerns that a claimed AI solution to an open math problem may have been stolen or aided by researchers, and that lack of transparency makes conclusive claims questionable\.

Sources: [Comment 49928850](<https://news.ycombinator.com/item?id=49928850>) · [Comment 49930251](<https://news.ycombinator.com/item?id=49930251>) · [Comment 49932487](<https://news.ycombinator.com/item?id=49932487>)

### Effects on jobs, chores, and political economy of tax filing

Discussion of AI replacing jobs, taking over chores, and political incentives around tax filing systems\.

Sources: [Comment 49925318](<https://news.ycombinator.com/item?id=49925318>) · [Comment 49928373](<https://news.ycombinator.com/item?id=49928373>) · [Comment 49928517](<https://news.ycombinator.com/item?id=49928517>)

### API inference margins and economic viability

A prediction about OpenAI and Anthropic API inference margins exceeding 10% prompts a question about how to measure that\.

Sources: [Comment 49925176](<https://news.ycombinator.com/item?id=49925176>) · [Comment 49925667](<https://news.ycombinator.com/item?id=49925667>)

## Sources & coverage

AI-generated summary · 2026\-10\-02T08:01:21\.585597\+00:00

Based on 8 of 8 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened.

Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.