SKU: 65358456596

How to Move Up When the Only Way is Down : Lessons from Artificial Intelligence for Overcoming Your Local Maximum

Sale price$21.59 Regular price$23.99
Save 10%

Pay in installments of $6.00 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 27 - Sep 1

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

How to Move Up When the Only Way is Down : Lessons from Artificial Intelligence for Overcoming Your Local MaximumBreak new ground in problem solving and decision making by learning from AIA well paid executive feels trapped in her very respected but unsatisfying job. A startup founder has paying customers, but knows that unless he `fires' them and pivots the business, his startup won't make it. A senior government planner is tasked with undoing the nation's reliance on outdated infrastructure. These are all examples of individuals stuck in a Local Maximum; we've

Break new ground in problem-solving and decision-making by learning from AIA well-paid executive feels trapped in her very respected but unsatisfying job. A startup founder has paying customers, but knows that unless he `fires' them and pivots the business, his startup won't make it. A senior government planner is tasked with undoing the nation's reliance on outdated infrastructure. These are all examples of individuals stuck in a Local Maximum; we've reached a peak, but not the one that fulfills the highest potential. In order to move up in our pursuits, we must first move back down - a realization which can lead to frustration, decision-making paralysis and lost opportunity. In How to Move Up When the Only Way Is Down: Lessons from Artificial Intelligence for Overcoming Your Local Maximum, Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence, and various experiences leading innovation throughout his career. With his off-the-beaten path perspective, Judah shares insights into how humans can achieve better decision-making by learning how AI overcomes local maximums. What tech engineers already know is that with the rise of AI, we've developed new ways of addressing these limitations. These techniques, employed to save billions of dollars for global giants like Amazon and Google, are equally applicable to each of us. To show how, Judah shares a variety of real world examples, involving Olympic high jumpers, the transition of Ethiopian immigrants from gas station attendants to high tech engineers, the evolution of playing cards into Nintendo, the development of ChatGPT, the link between wildfires and hedge fund managers - and much more. Explore: How to anticipate and identify Local MaximumsHow to overcome psychological Local Maximum blocks and biasesHow to build skills and apply strategies to succeed in complex decision-makingHow Local Maximum thinking can help overcome major global challenges The book is equipped to benefit anyone facing complex decisions, or obstacles to their personal or professional goals. How to Move Up When the Only Way is Down is designed to transform readers' decision-making by recognizing Local Maximums and skill building based on lessons from AI.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 65358456596

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.7 ★★★★★
Based on 20 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
K
Verified Purchase
Kyle H.
West Palm Beach, US
★★★★★ 4
Good quality
Size: 3X-Large, Color: White
The shirt fit great! True to size. Only issue for me, it would have been nice if it was longer to tuck in.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 13, 2026
C
Verified Purchase
capblye
Houston, US
★★★★★ 5
Great fit and comfortable
Size: 3X-Large, Color: White
Great fit and comfortable shirt! The fabric isn't thin and flimsy like some dress shirts today.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 30, 2026
W
Verified Purchase
Wes
Carnegie, US
★★★★★ 5
Great shirts! I prefer them over much, more expensive shirts!
Size: X-Large, Color: Lemon Yellow
Nice fitting shirt for the cost. Better than most that I’ve purchased for 2-3 times the cost. I prefer these to my Lacoste or Lands End long sleeved shirts! They look/wear much nicer after dry cleaning versus machine washing. I’ve bought five of them now!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 21, 2026
M
Verified Purchase
Mark
Alexandria, US
★★★★★ 3
Measurements just didn't add up.
Size: X-Large, Color: Sky Blue
Quality of the shirt was nice but the measurements did not add up. I wear a 17 1/2 neck and 36/37 or 37/38 sleeve. I ordered an XL and the sleeves were a little to short and the neck was way to big. Could never wear a tie with this shirt. So going up in size wasn't an option because of the neck. The next size up that had longer sleeves was a 3X, not happening. So if I went down in size the sleeves still would have been to short and the shirt would have been to tight. If the shirt fits you then you have a good shirt at a great price with lots of colors.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Verified Purchase
Johnny175
Charlottesville, US
★★★★★ 5
Great shirt
Size: XX-Large, Color: Blue
This ships fit great and is a nice material. It's now my favorite but two other colors of the same brand and size were not the same material
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 11, 2026

recommand products