This week we feature an article by Boaz Barak.
Additional reading comes from Anna Kaley, Maria Rosala, Kara Pernice & Patty Caya, Rachel Andrew, Tom Davenport & Maryam Alavi, and Dean Allemang.
News comes from Brightspot, dtSearch, Databricks, and Snowflake.
All previous issues are available at https://gilbane.com/gilbane-advisor-index
Opinion / Analysis
Metaphors for AI, and why I don’t like them
Boaz Barak finds metaphors very useful tools for facilitating understanding, but as Dennett ‘intuition pumps’ that leave out complicating detail. Barak is concerned that the use of metaphors to explain AI is leading to “over-interpretation”. In this excellent piece he looks at the ‘stochastic parrot’, ‘blurry JPEG of the web’, and other AI metaphors to make his case for caution. (13 min)
- 10 best intranets of 2023: What makes them great via Nielsen Norman Group
- New to the web platform in May and June via web .dev
- Good read for senior managers… How to train Generative AI using your company’s data via HBR .org
- Sometimes it looks like they do… LLM, explain yourself! via Dean Allemang
Content technology news
dtSearch updates enterprise products
dtSearch enterprise and developer product line searches terabytes across online and offline data; products can run on premises or the cloud.
Brightspot integrates OpenAI
Content creators can leverage AI-assisted suggestions for headlines, subheadlines and full body text to expedite the content-creation process.
Databricks announces LakehouseIQ
LakehouseIQ is a knowledge engine using generative AI to provide useful, contextual answers to natural language questions from all approved employees.
Snowflake unveils large language model to extract data from documents
Document AI leverages Snowflake’s first-party large language model to unlock deeper insights from unstructured data in documents.
The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.