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Control Alt Achieve: Public NotebookLM with AI Policies, Guidelines and Frameworks
Thankfully there are many organizations, states, and schools that have been blazing a trail in this area by developing and sharing their own AI policies, guidelines, and frameworks.
I recently collected over 40 of the best examples I have come across from states, schools, and organizations, and uploaded them all into a public notebook in NotebookLM.
See below for the link to access this shared Notebook and some directions on how you can interact with it to support you work on AI guidance for your school.
AI companies will fail. We can salvage something from the wreckage | AI (artificial intelligence) | The Guardian
Obviously, it’s nice to be a centaur, and it’s horrible to be a reverse centaur. There are lots of AI tools that are potentially very centaurlike, but my thesis is that these tools are created and funded for the express purpose of creating reverse centaurs, which none of us want to be.
Berget AI – We champion AI sovereignty to unlock innovation and growth in Europe
EU-compliant inference service and AI infrastructure built by developers for developers.
h/t Jörg
LMArena | Benchmark & Compare the Best AI Models
h/t Jörg
Home | Open Source Ecology
We’re developing open source industrial machines that can be made for a fraction of commercial costs, and sharing our designs online for free. The goal of Open Source Ecology is to create an open source economy – an efficient economy which increases innovation by open collaboration.
Science Is Drowning in AI Slop – The Atlantic
NeurIPS, one of the top AI conferences, has seen them double in five years. ICLR, the leading conference for deep learning, has also experienced an increase, and it appears to include a fair amount of slop: An LLM-detection start-up analyzed submissions for its upcoming meeting in Brazil and found more than 50 that included hallucinated citations. Most had not been caught during peer review.
That might be because many of the peer reviews were themselves done by AI. Pangram Labs recently analyzed thousands of peer reviews that were submitted to ICLR, and found that more than half of them were written with help from an LLM, and about a fifth of them were wholly AI-generated. Across the academic sciences, paper authors have even started using tiny white fonts to embed secret messages to LLM reviewers. They urge the AIs to rave about the paper they’re reading, to describe it as “groundbreaking” and “transformative,” and to save them the trouble of a tough revision by suggesting only easy fixes.
When two years of academic work vanished with a single click
After turning off ChatGPT’s ‘data consent’ option, Marcel Bucher lost the work behind grant applications, teaching materials and publication drafts. Here’s what happened next.
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If a single click can irrevocably delete years of work, ChatGPT cannot, in my opinion and on the basis of my experience, be considered completely safe for professional use. As a paying subscriber (€20 per month, or US$23), I assumed basic protective measures would be in place, including a warning about irreversible deletion, a recovery option, albeit time-limited, and backups or redundancy.