It’s ironic that British Museum, home of stolen artifacts from colonies and countries, itself became victim of insider thefts.
Here is the kicker, like British empire, thief was let go even after he was caught.
Somethings don’t change
#britishmuseum
Ittai Gradel was convinced the British Museum was the victim of massive thefts. It became his all-consuming passion to prove it. https://t.co/Vo91lMIbvp
The best way to gain job security is not being the most knowledgeable person in the room. It's being the most reliable person in the room.
Information is abundant. Dependability, helpfulness, and responsiveness are relatively scarce.
We count on people who consistently deliver.
5/n
- Consider the human-in-the-loop approach for the tasks where verification is difficult.
- Establish robust test cases, metrics, and measurement processes for verification affront which can accelerate outcomes and help in improving framing of the problem.
https://t.co/kzD88M70tl
Verifier's law can help product managers and architects select GenAI-friendly use cases to score early successes, earn trust, and accelerate adoption, as well as ROI.
@_jasonwei#AI_Enablement#GenAI
1/n
It’s evident that on radical candor quadrant, LLM responses are bordering between ruinous empathy and manipulative insincerity.
https://t.co/yfVAa95jOj
As we accelerate use LLMs for research and analysis in our day to day life and rely on its response, it is critical to have awareness of its “sycophancy bias”.
Well articulated article by @NGKabra with examples and tips on reducing this bias.
https://t.co/U0q87guHY7
@planetmoney makes learning economics fun with its summer “school”. Love how it makes it simple and easy to relate economic principles in daily lives. Good refresher for all ages.
Lesson 1: "Economics is not about money. It’s a lens of great power and beauty." Agree? No? Listen in to #PMSummerSchool with @JustinWolfers and @BetseyStevenson
https://t.co/TehyULzhJv
How does GBS meet consumer expectations around personalization while focusing on standardization. #hfsnycsummit - Tanuja Singi says @walmart looks at "harmonisation" rather than "standardisation", freedom within the framework to have flexibility when implementing.
"Before entering any argument, ask yourself “if I win this argument is it going to make any meaningful change to my life?” 9/10 the answer is no. If it’s a no, just shut up and move on, you’ll save yourself a lot of time, headaches and relationships" - via @reddit/r/LifeProTips
Data engineers that create clean fuel for AI engine are equally critical as Data Scientist developing AI models/engines and so are experienced & engaged product owners (AI translators)
#AI#machineleaning#dataengineering
https://t.co/BqaZYA6a7j