Why Google Is Limiting Meta’s Access to Gemini AI | FP Explains | N18G
A massive artificial intelligence boom has sparked a severe global shortage of computer infrastructure. A Financial Times report reveals that Google had to cap Meta’s access to its Gemini AI models because Meta demanded more computing power than Google could physically provide. Meta relies on Gemini for vital internal tasks like scam detection and customer service, leading to project delays. Despite technology firms spending billions on data centres and advanced chips, building infrastructure remains too slow. Google recently passed twenty billion dollars in quarterly cloud revenue but admitted to being completely 'compute-constrained.' To cope, Meta is forcing staff to use fewer AI tokens while migrating workloads to its own Muse Spark model. Meanwhile, Google is desperately leasing extra computing capacity from Elon Musk’s SpaceX for nine hundred and twenty million dollars a month.---
0:00 Intro
00:25 What Happened?
1:07 But Why Can’t Google Provide More AI Power?
2:31 Meta Is Also Relying More on Its Own AI Models
2:54 Google Is Trying to Solve the Problem
Gemini AI | Meta | Gemini VS Meta | Sundar Pichai | Mark Zuckerberg | Firstpost
#gemini #sundarpichai #markzuckerberg #gemini #meta #facebook #instagram #firstpost
Firstpost is an Indian news and media website. Get all the incisive opinions, in-depth analyses and other visual stories that matter to you and the world right here on this channel.
Subscribe to Firstpost channel and press the bell icon to get notified when we go live.
https://www.youtube.com/@Firstpost
Follow Firstpost on Website:
https://www.firstpost.com
Follow Firstpost on Instagram:
https://www.instagram.com/firstpost/
Follow Firstpost on Facebook:
https://www.facebook.com/firstpostin/
Follow Firstpost on X:
https://twitter.com/firstpost
Follow Firstpost on WhatsApp:
https://www.whatsapp.com/channel/0029Va6zOIrEQIamseyg762V Receive SMS online on sms24.me
TubeReader video aggregator is a website that collects and organizes online videos from the YouTube source. Video aggregation is done for different purposes, and TubeReader take different approaches to achieve their purpose.
Our try to collect videos of high quality or interest for visitors to view; the collection may be made by editors or may be based on community votes.
Another method is to base the collection on those videos most viewed, either at the aggregator site or at various popular video hosting sites.
TubeReader site exists to allow users to collect their own sets of videos, for personal use as well as for browsing and viewing by others; TubeReader can develop online communities around video sharing.
Our site allow users to create a personalized video playlist, for personal use as well as for browsing and viewing by others.
@YouTubeReaderBot allows you to subscribe to Youtube channels.
By using @YouTubeReaderBot Bot you agree with YouTube Terms of Service.
Use the @YouTubeReaderBot telegram bot to be the first to be notified when new videos are released on your favorite channels.
Look for new videos or channels and share them with your friends.
You can start using our bot from this video, subscribe now to Why Google Is Limiting Meta’s Access to Gemini AI | FP Explains | N18G
What is YouTube?
YouTube is a free video sharing website that makes it easy to watch online videos. You can even create and upload your own videos to share with others. Originally created in 2005, YouTube is now one of the most popular sites on the Web, with visitors watching around 6 billion hours of video every month.
