Given hundreds of millions of consumer-level medical and psychology-related AI conversations daily, strict guardrails may need relaxing to better serve users.
Treat HIPAA compliance as a critical barrier preventing many builders from entering medical AI, creating an advantage for those who navigate regulations early.
You need to match model choice to task since a 4,000-token window model will struggle with advanced tool calling compared to 32,000-token alternatives.
With new GPT-4-scale AI models launching roughly every two weeks, expecting self-reporting regulation is unrealistic given the exponential pace and volume.
Although Adobe was once the universal design standard, Figma’s current 87% adoption among leading AI companies makes its displacement unlikely in the near term.
At scale AI-native companies spend as large a percentage of their budget on data storage and processing as on inference, contradicting the assumption that inference dominates costs.
Startups can achieve rapid growth and create competitive moats by optimizing prompts over public LLMs rather than rolling their own models or hiring elite AI engineers.
Anthropic’s product strategy is to support MCP desktop integrations and other capabilities that OpenAI’s larger user base might prohibit, enabling more experimental developer workflows.
