For librarians, educators, teachers.
State of AI right now
Technical Progress
What’s Real
- Large language models (LLMs) like GPT-4, Claude 3.5, and Gemini continue to improve in performance, speed, and usability.
- AI is now reliably useful in areas like:
- Text summarization, content generation
- Writing code
- Language translation
- Some scientific modeling (e.g., protein folding)
But:
- Breakthroughs are slowing compared to the 2022–2023 period.
- Most advances are engineering scale-ups, not fundamentally new ideas.
- Real challenges like long-term memory remain unsolved
Business & Industry
What’s Real
- AI is being used in real workflows:
- Automating customer service
- Speeding up legal and financial document processing
- Assisting in education, marketing, and coding
- Enterprise adoption is high: Most large companies are integrating AI in some form.
But:
- A lot of AI adoption is shallow or experimental—especially in smaller companies.
- Many AI tools don’t justify their cost.
- Hallucinations (false responses) are still common, and human oversight is still required.