Year: 2021

“What’s the difference between giving a speech to your dog and giving one on the TED stage? It’s the same speech. The difference is in the story we tell ourselves about the stakes, the opportunity and what might happen next.”

https://t.co/8T0tW3af24

A friend recently joined @thekonginc in a senior customer-facing position. I immediately had to recommend he’d connect with @scott_lowe.

If I had to meet a customer CTO or chief architect for a technical conversation, I’d want Scott with me.

If you follow the #Codex hashtag, you know that the level of excitement among developers is out of scale. There are very interesting use cases that people like Tom are hoping to enable. https://t.co/9VxYaHQ9fE

A Nobel Prize on the absurdity of certain corporate performance ranking systems. It might seem familiar to some of you. https://t.co/WDl0xrbaWd

How fair is your performance review (both as a giver and as a receiver)?

Not fair at all. In fact, it’s profoundly unfair. https://t.co/rJMX8q0SVd

This chapter of “Noise” by Nobel Prize Daniel Kahneman is the best argument I have read so far in favour of massive adoption of #AI for medical diagnosis. Must-read for startup founders and VCs, medical professionals and hospitals, insurances and patients, of course. https://t.co/QHSraMJCOS

Yesterday I quoted many pages about how to build a team of decision makers and how to evaluate their decision. Today:

“Organizations that want to harness the power of diversity must welcome the disagreements that will arise when team members reach their judgments independently.” https://t.co/bji4CYvpYB

13min video from the WSJ on how quickly TikTok #AI optimizes for engagement at the expenses of the user. The tagline for advertisers on social media will soon become “Sell at all costs.”

How TikTok’s Algorithm Figures Out Your Deepest Desires https://t.co/dt5heX6dz7

Quite an impressive search engine, @sourcegraph >

Sourcegraph plans to index the entire open source web https://t.co/H7D2Gelb5e

@cdaffara It might be a similar role in purpose, but Kahneman makes it clear that the decision observer is only effective if he/she flags bias and noise in real time, de facto interfering with the observed process.