InfoWorld published a list of 20 prompt styles and structures for getting better results from large language models, including step-by-step instructions, few-shot examples, Q&A-style questioning, and …
In a 2019 Slate Star Codex post, Scott Alexander argued that OpenAI's GPT-2 is not merely a "brute-force statistical pattern matcher" but performs the same kind of concept-level pattern recognition as…
Despite the hype around AI, humanity is entering a 'human era' where human creativity and authenticity are valued over AI-generated content. The piece notes that AI-generated works lack the personal t…
Microsoft reports that 87% of educators and education leaders and 79% of students agree that knowing how to use AI effectively and responsibly is important for students' futures, highlighting the grow…
At Startup School 2026, YC President & CEO Garry Tan said the next generation of startups will be built by smaller teams than ever before, and that AI agents running on personal infrastructure will co…
Google DeepMind researcher Tom Zahavy argues in a position paper that large language models cannot spark scientific revolutions because they lack the cognitive mechanism of "manipulative abduction" — …
A developer draws a parallel between the development of quantum mechanics and the current state of AI, arguing that uncertainty is not an obstacle but the terrain for progress. The post notes that the…
On the 250th anniversary of the Declaration of Independence, the United States faces a new alignment problem: how to safely coexist with AI superintelligence that may surpass human intelligence within…
A scholar argues that teaching mathematics with a historical dimension improves comprehension, citing Henri Poincaré's views on mathematical heterogeneity and the loss of objectivity in formal rigor. …
Alexander Grothendieck revolutionized 20th-century mathematics by reorienting the field toward abstract relationships between objects rather than the objects themselves, most notably in algebraic geom…