A little more than a year after ditching third-party fact checkers and rolling back much of its proactive content moderation, the company says it will further “transform” its approach by drastically reducing the number of human moderators in favor of AI-based systems. The company says the change will happen “over the next few years,” and will allow the company to catch more issues faster than its current approach.
Meta didn’t say how much of its contract workforce might be cut as it makes this transition. The company employs thousands of contractors around the world to review content flagged by its AI systems and user reports among other tasks. The company said that as it shifts its approach humans will “play a key role” in “critical decisions” and aid in training and other tasks.
“Experts will design, train, oversee, and evaluate our AI systems, measuring performance and making the most complex, high‑impact decisions,” Meta said in an update. “For example, people will continue to play a key role in how we make the highest risk and most critical decisions, such as appeals of account disablement or reports to law enforcement.”
The company has been testing LLM-based systems for content moderation for a while and says that early tests have had “promising” results. Another advantage is that its AI can handle languages used by “98% of people online,” compared with the 80 languages currently supported by its moderation capabilities.
While Meta says its underlying rules aren’t changing, the new approach could dramatically change users’ perception of how Meta enforces its policies. The company already relies heavily on AI for certain rules, and many users believe that these systems make too many mistakes and make it difficult for their appeals to reach a set of human eyes. On the other hand, Meta, which stands to save a lot of money if it significantly downsizes its contract workforce, says its new systems make “fewer over-enforcement mistakes” and catch more of the most “severe” violations.
In the nearer term, Meta is introducing an AI powered “support assistant” that will help users with certain types of account issues. The chatbot, which is rolling out now in the Facebook and Instagram app, will be able to help users report content and manage appeals, reset passwords and manage other account settings. It will also be able to help people who get locked out of their accounts “starting with select cases in the US and Canada.”
Amazon Virtual Private Cloud or Amazon VPC is an AWS service that provides you with a separate area of the cloud. Having this separate area, you can launch your own defined AWS services in a virtual network.
Here, in VPC you have complete control of your virtual environment which includes IP address range, the configuration of route tables, the creation of subnets, and network gateways. Also, the network configurations can be easily customised for the Amazon VPC.
Like all the other AWS services, Amazon VPC provides top-notch security. It has multiple layers of security which include network access control lists and security groups to manage the Amazon EC2 instances’ access in each subnet.
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Now to understand the entire scenario of VPC, even better, let’s have a look at the architecture of VPC.
Architecture of VPC
The above picture shows the architecture of VPC, so there’s an outer region and inside that outer region there’s an Internet Gateway and Virtual Private Gateway.
Internet Gateway and Virtual Private Gateway are what help in the connection with the VPC. These connections pass through the router which directs the coming traffic to the router table.
The two Router Tables then direct the traffic to Network ACL, which is like a firewall for security purposes.
The Network ACLs can either accept or deny the roles. Also, the IP Address can be blocked on the Network ACL.
The respective Network ACL signals to their respective security groups to access lines against the EC2 Instance.
Now, there are two subnets – Public Subnet and Private Subnet. As the name suggests, in the public subnet internet can be accessed by the EC2, while in the private subnet EC2 instance cannot be accessed through the internet.
There’s also a process called “Jump Boxes” which enables you to connect the EC2 Instances (the public subnet can be connected to the private subnet’s instance).
Now, when we know about the architecture of VPC, it’s time to understand the different elements of VPC.
VPC IP addresses use CIDR (Classless Interdomain Routing) IPv6 and IPv4 blocks to define their ranges. Primary and secondary CIDR blocks can be added to the VPC if the secondary Classless Interdomain Routing block comes from a similar address range as the primary block.
Subnet Creation
The EC2 Instance that is launched runs inside a specific VPC subnet. And, each subnet’s CIDR as a subset of the VPC Classless Interdomain Routing block. Every subnet separates its respective traffic from all the other VPC subnet traffic. It must be noted that a subnet can only have one CIDR block and different subnets are to be designated to handle diverse traffic types.
Route Tables
Route Tables are actually the rule book that decides how much network traffic must be directed inside the VPC and subnets. A default route table is created by the VPC called the main route table. And, this main route table has an automatic association with other VPC subnets.
There are two options – either the main route table can be updated and used to direct network traffic OR a new route table can be created for individual subnet traffic.
Internet Connectivity
Each VPC configuration is able to host one Internet Gateway and hence provide NAT or the Network Address Translation services using a NAT Gateway or NAT instances.
Elastic IP Addresses (EIPs)
Elastic IP Addresses or EIPs are IPv4 addresses permanently allocated to the user’s AWS account. The EIPs enable public internet access to the following:
An instance
Elastic Network Interface or ENI
Miscellaneous services that require a public IP address.
Network/Subnet Security
In the VPC architecture, you had seen there’s something called the “security group,” so VPCs use those security groups to give protection for instances. These security groups are referred to as firewalls by AWS.
Additional Networking Services
There are several more services provided by a VPC. The VPC can also be used to configure the following:
Virtual Private Networks or VPNs
Direct connectivity between VPCs or VPC peering
Gateways
Mirror sessions
Now, when you are well versed with the basics of Amazon VPC, let’s have a look at what you can do with a VPC.
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What can you do with a VPC?
Instances can be launched in a subnet that you choose.
Custom IP address ranges can be assigned in each subnet
Route Tables can be configured between subnets.
An internet gateway can be created and attached to your VPC.
You get excellent security over your AWS resources.
Security groups can be assigned to individual instances.
Conclusion By now you would be well versed with everything you need to begin with Amazon Virtual Cloud. In the beginning, we learnt the basics of Amazon VPC and continued to learn its architecture. While at the architecture of VPC, we saw different parts of it and saw each of them briefly.
Once you knew all the architectural parts, you saw the elements of VPC and studied them in brief. Finally, after learning about different elements and several other basics of Amazon Virtual Cloud, we saw the applicability of the same.
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