AI for science in the 2024 report
Evidence you can use
AI for science in the 2024 report
Historical snapshot: October 2024. Dates and populations are specified per row.
| Measure | Reported value | Definition and source |
|---|---|---|
| CRISPR-Cas Atlas | More than 1M operons | Diverse CRISPR-Cas systems mined for the dataset described in the report.2024 report, slide 50 (PDF page 51) |
| Source genomic data | 26.2 terabases | Assembled microbial genome and metagenome data used to mine the atlas.2024 report, slide 50 (PDF page 51) |
| OpenCRISPR-1 sequence similarity | 71.7% to SpCas9 | Similarity reported for the selected functional editor, not an editing success rate.2024 report, slide 50 (PDF page 51) |
Sequence similarity is not biological efficacy. Cell-based experiments establish function under the tested conditions; they do not establish clinical safety or therapeutic effectiveness. AlphaFold 3 claims retain the access and baseline limitations noted in the original report.
Sources and dates
Historical snapshot published October 10, 2024. This web edition was prepared on October 10, 2026 from the online deck and original launch posts. Findings and forecasts retain their original time frame.
- 2024 report, slide 45 (PDF page 46)Original 2024 report. Printed slide numbers are one lower than PDF page numbers because the cover is unnumbered.
- 2024 report, slide 50 (PDF page 51)Original 2024 report. Printed slide numbers are one lower than PDF page numbers because the cover is unnumbered.
- State of AI Report 2024: online slides
- Nathan Benaich: The State of AI Report 2024Air Street Press, October 10, 2024.
- Welcome to State of AI Report 2024Original website launch post, October 10, 2024.
Cite this page
Benaich, Nathan. “AI for science in the 2024 report.” State of AI Report 2024. Historical report snapshot; web edition prepared 2026-10-10.