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Scope is the enemy of proactivity on data teams. Proactivity is all about seeing what's happening and understanding what's coming next so you can be ready for it. The more things your team is responsible for, the more difficult this becomes.

Two things can be true at the same time: 1. Pretty much no one anticipated what could be done in 2023 with next-token prediction models. 2. The notion that current LLMs possess human-level language understanding is delusional.

Tim Meggs

📢 #CallforPapers! JMIR Medical Informatics seeks contributions for a new section on "AI Language Models in Health Care." Explore real-world impacts, challenges, & strategies. Learn More: jmirpublications.com/announcements/…… #aiinhealthcare #medicalinformatics

The conclusion that Sayash Kapoor and I have reached over and over: direct harms from gen AI (that you can regulate) pale in comparison to the cost of societal adaptation and of the extractive business model. Without structural reform, those will continue. aisnakeoil.com/p/ai-safety-is…

For years I’ve been interviewing data annotation workers who are the lifeblood of the AI industry. For years I’ve heard the same story: the platforms they work for wield total power, leaving them precarious & vulnerable to exploitation. A horrible example of this just happened 1/

Accenture is doing more Gen AI revenue than all VC backed startups combined

I’m obsessed with great leadership. But when I was young, I wasted years and opportunities not knowing what great leadership looked like. Learn from my mistakes. 21 clear signals you have a great leader:

How do healthcare systems considering AI avoid the pitfalls articulated by Participant 7 below? NEJM AI ai.nejm.org/doi/full/10.10… #practicalAIGovernance

How can we build an economy enabling all people to have what they need to experience wellbeing? Excited to announce a new Health & Political Economy Project to tackle such questions. Darrick Hamilton Victor Roy, MD PhD Join us for our 4/2 launch event in NYC! bit.ly/newagendahealth

More from Bruce Booth on AI: I think true generative AI—coming up with brand new molecules never before seen by man, I think that remains elusive. A lot of the discovery-focused AI shops are mining patent literature and adding methyl groups here and there to existing things—and

“You don’t imagine something first and then write it down. It’s through the act of writing that ideas make themselves known.” nautil.us/the-magic-of-t…

This is true, and why AI doing the writing for you is intrinsically limited. The act of writing is the act of *thinking*. If you're not doing the writing yourself, the end product will be superficial and banal because the prompts were underthought

Noticing an interesting trend in the world of techbio, where people with no research background say ‘when I worked in lab’ and they mean their one semester in a bio class. Never in my wildest dreams did i think the daily slog I did for 10+ yrs would become a desirable trait 😂

I work on health-inspired AI, and often find it difficult to be taken seriously in the ML community (e.g., "you should submit to a more specialized venue"). This paper sums up my experience perfectly + highlights how beneficial application-driven ML can be to the field!

Impressive timeline as Dana-Farber governance addressed needs and constraints to allow for rapid deployment of generative AI at their institution. NEJM AI ai.nejm.org/doi/full/10.10… Example for other research institutions and academic centers. #cancer #healthcare

This is a useful thread of recent papers showing that LLMs are biased when judging people in HR contexts. The papers offer some potential solutions, but it is important to recognize that current systems carry subtle biases that can be hard to recognize without extensive testing.

I have talked to a lot of executives buying Microsoft Copilot for their firms. Not one seems to have considered what it means to suddenly automate the vast majority of management writing without training or reconsidering the meaning of the work. From my book, Co-Intelligence:

Why the rush to use emerging, experimental AI technology in high-stakes settings? As Emily Tavoulareas writes, people and organizations are integrating LLMs and chatbots into their lives and work as if the technology is reliable — but it is clearly not. techpolicy.press/sure-no-one-kn…

Look out for the ChatGPT wrapper SPAC masquerading as a TechBio company :)