"A 50% chance of survival
It took a while for ChatGPT to put a number on the probability of an AI-driven catastrophic event. After a heated discussion, we agreed that the likelihood of annihilation is the same as winning the flip of a coin."
This is way too scary!
In the same day that Hopin announced "Fastest Growing Product" Award from G2 (https://www.linkedin.com/posts/hopinofficial_bestsoftware202...), it was also announced that they are firing 138 full-time employees citing goal of ‘sustainable growth’. Something weird here
Good machine translation can be used in so many different ways that it will really help improving peoples' lives.
It's great to see we are getting there!
I believe it will be helpful we keep developing fact-checking tools with AI.
But the video side... It's scary. The implications there can be once AI keeps generating more and more fake videos from famous/important people are tremendous...
The videos are scary but still easy to distinguish from the real thing. Hopefully, as machines get better at creating them, they will also get better at identifying the fakes.
This article's title and intro makes it look like it's mainly Google Ads' fault, but then actually it was more due to the landing page design + user journey (awareness ladder) + working with an agency that scaled the execution and the costs.
Nonetheless, interesting insights, worth reading for any B2B advertising manager.
Traffic from Google, Bing, and Facebook is easy to buy, the failure is the company for not understanding how PPC works and letting some agency run wild. A hundred things can go wrong after the ad click yet this is trying to save face by saying we should have started small and scaled and limited keywords. That's all yada yada yada, internally they didn't ask the right questions to the agency after week 1, 2, 3, 4 and analyzing the funnel. Then stop the ads, rebuild LP's, restart ppc. If the agency doesn't want to play along, fire them. Poor planning from to start to end.
Agree on the bad planning issue. We should've planned for the long wait we would need to see the actual funnel changes. The issue is about our purchase cycle. It's a long one: on average, it takes users about 182 days to become paid, while the median is 23 days.
