History LLMs: Models trained exclusively on pre-1913 texts
(news.ycombinator.com)
91.
92.
Trained LLMs exclusively on pre-1913 texts
(news.ycombinator.com)
93.
AI capability isn't humanness
(news.ycombinator.com)
94.
AI might not be coming for lawyers’ jobs anytime soon
(technologyreview.com)
95.
96.
Using LLMs at Oxide
(news.ycombinator.com)
97.
State of AI: An Empirical 100T Token Study with OpenRouter
(news.ycombinator.com)
99.
AI reviewers are here — we are not ready
(feeds.nature.com)
100.
Do the thinking models think?
(news.ycombinator.com)
101.
Anti-patterns while working with LLMs
(news.ycombinator.com)
102.
A trillion dollars (potentially) wasted on gen-AI
(news.ycombinator.com)
103.
Large Language Models Will Never Be Intelligent, Expert Says
(futurism.com)
104.
We're losing our voice to LLMs
(news.ycombinator.com)
105.
We're Losing Our Voice to LLMs
(news.ycombinator.com)
106.
Sutskever and LeCun: Scaling LLMs Won't Yield More Useful Results
(news.ycombinator.com)
107.
108.
109.
Launch HN: Onyx (YC W24) – Open-source chat UI
(news.ycombinator.com)
110.
Launch HN: Onyx (YC W24) – The open-source chat UI
(news.ycombinator.com)
111.
New Apple Study Shows LLMs Can Tell What You're Doing from Audio and Motion Data
(news.ycombinator.com)
113.
Gemini 3 refused to believe it was 2025, and hilarity ensued
(techcrunch.com)
114.
115.
LLMs are bullshitters. But that doesn't mean they're not useful
(news.ycombinator.com)
116.
The fate of "small" open source
(news.ycombinator.com)
117.
Vintage Large Language Models
(news.ycombinator.com)
118.
119.
Houston, We Have a Problem: Anthropic Rides an Artificial Wave – BIML
(news.ycombinator.com)
120.
AGI fantasy is a blocker to actual engineering
(news.ycombinator.com)
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