"The current admissions metrics, based primarily on GPA and essays, can no longer reliably distinguish readiness for university-level STEM majors in an era of severe grade inflation and AI-assisted application essays."

Comments URL: https://news.ycombinator.com/item?id=48296230

Points: 6

# Comments: 3

On the other hand, the suburbs don't have much that is even comparable to city taxis in price or availability today, so maybe if it existed that price point would indeed do just as well away from cities too.

- Similar "bias" was exhibited by other models including LLaMA 3.3 and Deepseek v3.

- Even when human annotators judged the human-written summary to be higher quality, leading LLMs still preferred their own writing 67-82% of the time.

- Preference was stronger in larger models.

- In several cases, LLMs also prefer their own writing over that of other LLMs.

There's a pretty decent longer summary in this thread where I first heard about the article: https://x.com/heynavtoor/status/2048088874686300431

Comments URL: https://news.ycombinator.com/item?id=47932006

Points: 3

# Comments: 1

They also say many of the bots tend to lead conversations in flirty or sexual directions even when the teens weren’t seeking it — and the age requirements in many apps seem easily bypassed. On the other hand, one teen they interviewed credited the chatbots with improving his writing and making him better at taking about his feelings.

Comments URL: https://news.ycombinator.com/item?id=47646897

Points: 6

# Comments: 1

So Python's clearly not "batteries included" enough to avoid this kind of risk.

Either the agent needs to be a superuser, with all the attendant risks... or you go the Windows Vista route and constantly prompt users to approve every single access need, which we've all seen how that turns out.

- Analyzes fact-check requests on X (Grok and Perplexity)

- "exposure to LLM fact-checks meaningfully shifts belief accuracy" comparable to the degree observed in studies of professional fact-checking

- 54.5% of Grok ratings and 57.7% of Perplexity ratings agreed with human fact-checkers ("significantly lower than the inter-fact-checker agreement rate of 64.0%"). But "API-access versions of Grok had higher agreement with fact-checkers"

- "Responses to Grok fact-checks are polarized by partisanship when model identity is disclosed, whereas responses to Perplexity are not"

- "Users requesting fact-checks from Grok are much more likely to be Republican than Democratic, while the opposite is true for fact-check requests from Perplexity – indicating emerging polarization in attitudes toward specific AI models."

- "posts from Republican-leaning accounts are more likely to be rated as inaccurate by both LLMs"

- Grok and Perplexity "strongly disagree" (one rates a claim as true and the other as false) 13.6% of the time

Comments URL: https://news.ycombinator.com/item?id=46892670

Points: 3

# Comments: 2

Comments URL: https://news.ycombinator.com/item?id=46557352

Points: 85

# Comments: 40