Presents a critical perspective on major AI vendors that power users should consider when choosing models.
Argues against using OpenAI and Anthropic models due to governance concerns, promoting open-weight alternatives for privacy and ethical reasons.
OpenAI critics argue the company can't effectively self-regulate AI safety because it has fired employees who raised concerns about risks.
Andrej Karpathy argues the LLM capability gap is widening dramatically, with only 0.2% of people experiencing frontier models' transformative impact on complex projects.
OpenAI faces criticism for firing employees who raised safety concerns while publicly committing to self-regulation through White House agreements.
Analyzes E.M. Forster's 1909 sci-fi story 'The Machine Stops' as a remarkably prescient prediction of modern technology including AI, social media, and isolation.
A 2016 IBM patent for real-time concert analytics mapped the core components of modern AI agents before the terminology existed.
