The next frontier: AI that can plan ahead
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Via Superhuman AI
“Most chatbots can tell you what the weather is like. They can even contextualize climate trends from the past few decades. But ask them something more complicated — like how economic and social patterns might affect the climate in the future — and they’ll struggle to come up with an answer. |
That’s because AI models aren’t very good at anticipating things: We take it for granted that we can predict how different scenarios might play out before making a decision. How do we do it? By recalling past experiences. |
GPT-4 and its competitors, on the other hand, are only capable of “thinking” a few steps ahead. They especially struggle with math equations and logic puzzles, since those tasks require a lot of trial and error. |
That could soon change: |
- Execs at both OpenAI and Meta recently told the Financial Times they’re working on new models that show glimmers of reasoning capabilities
- Both companies have been hazy on the details, but the basic takeaway is that each model will see improvements in their ability to remember what happened in the past
- We won’t have to wait long: OpenAI’s long-awaited GPT-5 is reportedly coming “soon,” while Meta’s Llama 3 should be out in a few weeks
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We’re already seeing a lot of improvement: For example, ChatGPT used to be pretty bad at chess. It sometimes tried to make moves that aren’t even allowed. But between GPT 3.5 and GPT 4, something changed. Now, ChatGPT can beat about 50% of ranked players. |
If the new models live up to the hype, it would make us one step closer to achieving Artificial General Intelligence (AGI) — the fabled point when AI can compete with humans in any cognitive task.” |
Public libraries are alive and well, thanks to Gen Z, millennials and the shift to digital collections
Libraries aren’t dying — they’re just changing. Via StateScoop
Internet Archive’s Brewster Kahle on AI for Digital Libraries
Archive.org founder Brewster Kahle shared some surprising thoughts about artificial intelligence — and the ways it’s already interacting with digital libraries.
ORIGINAL LINK: https://thenewstack.io/internet-archives-brewster-kahle-on-ai-for-digital-libraries/
Inclusive Collections, Inclusive Libraries is an RLUK programme of events that aims to foster conversation around decolonisation and inclusive practice in collecting, describing, presenting, and engaging with content in research library collections. It seeks to raise awareness about the opportunities and challenges of dealing with, contextualising, and engaging with offensive collections while also identifying and sharing examples of good practice https://www.rluk.ac.uk/icil/
Making archives engaging for visually impaired audiences How can archival collections be made not only accessible but fun and engaging for visually impaired audiences? For the past year, Ellen Oredsson has been completing a project as part of the TNA/RLUK Professional Research Fellowship Scheme looking at how to answer this question as part of her role in the Education & Outreach department at The National Archives. Over the course of the year, she has talked to experts and people with lived experiences and have explored everything from magnifiers to specialised iPads and tactile images. In this presentation, she shares what she has learnt so far when it comes to meeting the needs of these audiences and how she has practically implemented these learnings to expand the reach and accessibility of The National Archive’s collections and offerings.
OCR and Generative AI: what could possibly go wrong?
OCR and Generative AI: what could possibly go wrong?
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