Beyond surveys and role-based personas: A single true story about a real user's or prospect's experience is arguably worth more than a dozen survey responses. https://t.co/saaWs2k1o6 by @jmspool #ux #prodmgmt

Data scientists and engineers sometimes just want to view Jupyter notebooks without editing or executing them. Check out this simple but handy ipynb viewer by @JakubJirutka. https://t.co/vqQ1aeXSOJ #AI #ML

Reminds me of why spreadsheets are often better solutions than specialized apps. https://t.co/JTerf2rVNr by @jjjoemclean #prodmgmt

"[T]he teams that thrive are the ones who use disruption as an opportunity to build the solutions they’ve been thinking about anyway." https://t.co/dm7Onrsd9G by Asher Atlas #prodmgmt

"Validation" continues to lead #prodmgmt astray. Good piece from @dakotashine despite his use of the term. https://t.co/wAWmvu0DTP

Strategy is a set of hypotheses. Build adaptive strategy into your process. https://t.co/pCbHfKVoOE by @TriKro and Susie Braam #prodmgmt

Seems like contradictory advice. #prodmgmt

"The solution is simple: breathe life into the vision. Take it off the slides and embed it into everyday product work." https://t.co/hfOeczF8z0 by @martarolak #prodmgmt

In many AI scenarios, traditional and deep learning are still the best methods for the job. https://t.co/gV2zNeEs9w

Business goals are inward focused, and defining them has limited value. The real magic is in defining and measuring customer outcomes, and then showing how improving customer outcomes will lead to better business outcomes. https://t.co/HbjLj9UXjd

To honorable City Council, Commissioners, & Staff: DANA opposes height limits and other exclusionary zoning downtown, and we specifically oppose the base height limit proposed in the C20-2025-010 Central Business District (CBD) amendments. 🧵

When someone asks for a report, don't ask, "What do you want in the report?" Instead, ask what decisions it will help them make. "Nobody wakes up in the morning and says today's going to be a great day, I'm going to produce 15 reports." - @jmspool

Today's #AI and #ML models rely on memorization and "local generalization". Massive scaling has led to smarter models. But getting models to adapt to novel situations, where there is little or no data, will require more than just memorizing more data. https://t.co/UAXS9wTIEo

The 3rd edition of my book Deep Learning with Python is being printed right now, and will be in bookstores within 2 weeks. You can order it now from Amazon or from Manning. This time, we're also releasing the whole thing as a 100% free website. I don't care if it reduces book

Wilson scoring is a simple way to score the popularity of items (such as comments on a Reddit post) based on up-votes and down-votes. As far back as 2009, Evan Miller pointed out the flaws in other methods (e.g. average rating). https://t.co/ZoBlCcXXrb H/T @kdamica #DataScience

"But strategy suffocates when everything gets reduced to a list. Lists coordinate. Loops adapt. You need both." - @paulisthrivving https://t.co/XPMnLOExgu #prodmgmt

Words-based methods can sometimes find relevance where semantic-based retrieval and modeling fails. I've developed ensemble models to address these limitations. https://t.co/mCjyCEOyUx #ML #AI

Concerns about "timing" are also frustrating. I remember a time when, in a meeting, everyone supported a position, but a few people said it was "too early" to publicly express our support. Then, at the next meeting, the same people said it was "too late" to express our support.

One of the most frustrating situations in civic advocacy is when potential allies think the cause has merit but is not "politically viable". Yet the reason it's not viable is that they, themselves, haven't publicly voiced their support.

"It combines the deep language understanding capabilities of a large language model with the speed and reliability of a dedicated classification head. This leads to a more accurate, consistent, and cost-effective solution."