jenny comiskey

This. jmspool.medium.com/a-radical-prop…

The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. gatesnot.es/3FIamPU

In summary, we believe rapid progress is likely because of scaling laws - AI capabilities improve predictably as more data and computation are used, and data and computation are getting cheaper each year. anthropic.com/index/core-vie…

The capabilities of AI are widely misunderstood because they have been actively misrepresented by both those who want to sell it or drive investment in it, and those who fear it or underestimate it tcrn.ch/3RWgt7R

What are the biggest ideas in tech in 2023? The partners at a16z shared their thoughts with @stephsmithio, in a two-part podcast available now. Here's what they said 👇

A key focus @ForerunnerVC for 2023 (and beyond): the traditional needs of non-traditional consumers, as core life fundamentals have become increasingly fragile and complicated. The Next Wave of Game-Changing Companies Will be Life-Changing Companies forerunnerventures.com/our-perspectiv…

Please stop focusing on learning from ultra-successful founders. Survivorship bias is acute among these folks & the outliers often are those making big risky bets that happen to pay off. And even if that isn’t the case, we usually learn the wrong lessons. oneusefulthing.substack.com/p/when-survivo…

🪐 Introducing Galactica. A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more. Explore and get weights: galactica.org

Starting in about 30 mins: The 2022 HAI Fall Conference on “AI in the Loop: Humans in Charge.” Watch the livestream, join the conversation online, and submit questions to the speakers by tagging us @StanfordHAI. stanford.io/3V2xjm5

I’m kicking off a new series where I share how the best product teams build product. First up, @Figma. I sat down with @yuhkiyam to learn about their planning process, how they use OKRs, their design review meetings process, org structure, lessons learned, and more. Read on:

"Good vs. great research teams?" You're gonna wanna listen/watch the whole webinar with our friends @greatquestionco... Register to get the recording: info.greatquestion.co/en/uxresearch-…

Read how @laurakleinso nicely points out that getting folks to do the job that your users do is not the most effective approach to learning about users, their contexts, and their needs.linkedin.com/feed/update/ur…

Thrilled to be investing $10M with @danielgross in AI Grant to support the new wave of founders building AI-first products. Apply now at aigrant.org!

I’d always thought of Doug Engelbart’s “mother of all demos” as an origin point for modern software interfaces. But writing this piece made it clear how much innovation went into creating the demo itself, including a key contribution from @stewartbrand hidden-heroes-ng.webflow.io/douglas-engelb…

No amount of research will make stakeholders as confident as following all of their biases. Sell stakeholders on the idea of *doing research* in the first place, or they will demand impossible bulletproof evidence for anything that doesn't align with their existing assumptions.

If your organization invests more than 15% of its user research in usability testing and product validation techniques, it's wasting its money. 80-90% of user research investment should be in understanding the problems users have. When you do this, it changes everything.

Steve Jobs famously said innovation is "saying no to 1000 things" before you say yes. For more than a decade, Apple has used Pablo Picasso's Bull to drive home the lesson. Here's a breakdown 🧵

To make AI fair, here’s what we must learn to do go.nature.com/3FhhGjL

Excited to see this work highlighting opportunities for building understanding of AI powered experiences. ttclabs.net/report/people-…