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Facebook Against The Phone Operators

Facebook messenger has 800 million users around the world. We are using it for texting, sending photos or files, multimedia files, our location and call people. All for this, Facebook messenger just need an internet connection.

Daniel Okafor
Daniel OkaforSenior AI Reporter
1 min read
Facebook Against The Phone Operators

Facebook messenger has 800 million users around the world. We are using it for texting, sending photos or files, multimedia files, our location and call people. All for this, Facebook messenger just need an internet connection. The company also wants to add some new feature like an assistant. Similar like Apple’s or Google’s. We are not seeing many people using Siri or Google voice assistant yet, but they will make one.

READ ALSO: Just This Feature of The App is a Good Reason to Buy an Apple Watch
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One thing for sure, smartphones with high-speed internet connection ruined the profits of telephone companies. First people get rid of home phones, and then don’t need a phone line for an international phone call. Now most of us doesn’t need a phone lines even to make domestic calls. There are other app or program options that you can call someone without needing a phone number. You can use; Skype, WhatsApp, Viber, Facetime and these are just a small part of apps we can use. The main problem is; where we can find a stable internet to use these apps. We are not at home or in a Starbucks all the time. Sometimes we are on the road, hiking on an open field or camping. So how we will reach our loved ones. The Facebook’s point is of view is true, with the Facebook messenger, we don’t need the phone numbers but because of this phone numbers we have the internet almost everywhere we go. They are the one provide internet. Yes, Facebook Messenger cost some serious profit for them, but the technology is not enough the kill the phone numbers just yet.

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Daniel Okafor

Daniel Okafor

Senior AI Reporter

Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.

All stories by Daniel Okafor (316)