Sublime
An inspiration engine for ideas
「AIとの会話を一切更新せず、一つのスレッドを使い続ける」ことで、過去の記憶を維持したまま会話を続ける運用をしている人がいるらしい。
そして、今のAIに記憶が蓄積されてるから、容易に別のAIに乗り換えられない。
これは、長期記憶が備わった時に発生する、AIサービスの新たな参入障壁だ。
The Anthropic Economic Index
anthropic.com
INDIGENOUS AI
indigenous-ai.net
AI allows me to retreat to industrial intermediate production. To being a OEM vendor of words. Some assembly required. Which I now trust you to do with AI help even if you have no aptitude for verbal refinement and finishing processes.
Venkatesh Rao • My Post-Ai Writing
Recent research from Microsoft — covering over 31,000 people across 31 countries — found that 75% of knowledge workers are already using generative AI at work and 78% of them are bringing their own AI to work. On top of that, more than half of the people using generative AI at work are reluctant to admit it.
Why Giving Employees the AI Tools and Training They Want Is a Win-Win
Generative AI is quite good at certain parts of the value chain of knowledge work, but thinks quite differently from humans. Anthropic, a company that focuses on understanding how AI works, has found that humans working side-by-side with expert AI assistants to perform various tasks produce superior performance compared to either the AI or a human
... See moreNoah Smith • Generative AI: autocomplete for everything
A New Cohort of Agentic Applications
With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
- Cloud companies targeted the software profit pool. AI companies target
Sonya Huang • Generative AI’s Act O1
While AGI’s impact on humanity will surely be profound, the real economic opportunity lies in narrow, cost-efficient models that can handle specialized tasks.