What Happens When Apple and Google Team Up to Build AI? 5 New Models


Apple’s substantial AI upgrade has been rumored for a long time, but we got a closer look Monday at the company’s Worldwide Developers Conference. One of the biggest drops was the five new Apple Intelligence models that were built in partnership with Google.

Apple Intelligence was a prominent part of Apple’s software news, culminating in the revamped Siri AI personal assistant. We also heard about the new MacOS Golden Gate, new Vision Pro-inspired AI photography tools and what may be inside the upcoming iOS 27.

“We believe that truly helpful AI must be centered around you and your needs,” Craig Federighi, Apple’s senior vice president of software engineering, said during the WWDC keynote video presentation. 

Here’s what you need to know about the new AI models and where they will show up across your Apple devices.

Watch this: iOS 27 Has Us Excited for Siri, Again

5 new foundational models

Apple and Google released five new AI models. Don’t expect clever names from this family of Apple Foundation Models. They include:

  • AFM 3 Core: The 3 billion parameter base model is designed to run on your iPhone or Mac.
  • AFM 3 Core Advanced: Apple calls this multimodal 20-billion parameter model its “most powerful on-device model.”
  • AFM 3 Cloud: As the name suggestions, this model runs in cloud servers.
  • AFM 3 Cloud (Image): This image AI model powers the new AI photo editing tools and Image Playground updates.
  • AFM 3 Cloud Pro: This is the most advanced cloud-based model Apple offers, meant to support “demanding use cases, like agentic tool use and complex reasoning.”

These models are a little bit different than the chatbot or agents you may interact with. They are the technological bedrock of AI work; they’re the roads you drive on, not the car. The car in this scenario — the way you interact with the AI models — is with the new Siri. And the new Siri AI will be everywhere on compatible devices, on your iPhone, Mac, Watch and even in your AirPods.

Developers can use Apple’s Core AI to build with the new AI.

All the models come with Apple’s private cloud compute infrastructure, which basically says Apple doesn’t store your data and chat logs. Apple says AFM 3 Cloud Pro still has this privacy guarantee even though it runs through Google Cloud, using Nvidia GPUs. The average AI user won’t have to worry too much about this, but these are important considerations for businesses.

five AI images of a bar of soap, a train window, an ice cream sundae, a mountain range and butterflies in the air

These AI images were made using the new Apple Foundational Model 3 Cloud.

Apple/Screenshot by CNET

Apple says the new models were trained, or built, using publicly available data, data licensed by the company and synthetic data. The company says it doesn’t use information from its users and their interactions with Apple AI. It also notes, without specifics, that it “respects the rights of web publishers” that opt out of AI training.

What’s new inside Apple’s AI

Some things about Apple’s AI aren’t really new. The company is leaning particularly heavily toward on-device AI, meaning smaller models are built to run on your iPhone, iPad or Mac, rather than in the cloud. The new foundation models have been tailored to run on-device. Apple touted privacy as a cornerstone, noting that it doesn’t store your data or chat logs.

AI Atlas

AI-forward features like its upgraded Siri look largely like more powerful versions of what we’ve already had for years. A Siri that better understands what you say? That’s an upgrade, but hardly revolutionary. Allowing Siri to better understand context by giving it more access to your information means the assistant will be more useful.

What is new? A more powerful on-device model is multimodal, meaning it can understand speech and images, Federighi said. It’s also more accurate with dictation and language understanding. A system orchestrator can coordinate across models, while Apple Intelligence can also work across your apps.

Compared to rivals like Google, Apple has been relatively slow on the AI front. Its models and tools haven’t become household names like ChatGPT, and it hasn’t had viral moments like Anthropic’s Claude Code or Google’s Nano Banana image generator. But the company has been thoughtful about how it integrates generative AI into its products, gradually rolling out new AI-powered features. 

Rather than having AI stand out, Apple appears to want it to disappear into the operating system, said Francisco Jeronimo, vice president of client devices at analyst IDC. He said in an email that Apple’s goal is for its AI to be trustworthy and invisible to the user.

“The impact could be significant,” Jeronimo said. “If Apple makes AI feel natural, private and useful for mainstream users, it will not just strengthen its ecosystem. It could redefine what consumers expect from every device they use.”





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What are SCCM Discovery Methods?

SCCM is required to find gadgets before it can handle them. It’s not compulsory to find PCs, on the off chance that you physically install the customer, it will show up in the console and it tends to be executed properly. The issue is that on the off chance that you have a thousand PCs, it tends to be a particular interaction. By utilizing Active Directory System Discovery, every one of your PCs will appear in the console, from that point you can decide to install the customer utilizing different SCCM techniques. Obviously in the event that you require data about your client and gatherings, you have to design User and Group discovery, it’s the best way to acquire this data SCCM. 

Why SCCM discovery methods?

The discovery recognizes PC and client assets that you can handle utilizing Configuration Manager. It can likewise find the organization framework in your environment. Discovery makes a discovery data record (DDR) for each found item and stores this data in the SCCM data set. At the point when a resource is found the data about the asset is placed in a document that is alluded to as a DDR. DDRs are handled by site servers and get into the SCCM database. From that point they are repeated by database replication with all destinations. 

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Types of SCCM Discovery Methods

There are six types of Discovery Methods that can be arranged. Every one focuses on a particular item type (Computers, Groups, Users, Active Directory) : 

1. Active Directory System Discovery

Finds PCs in your association from indicated areas in Active Directory. To push the SCCM customer to the PCs, the resources should be found first. You can indicate to find just PCs which have signed on to the area in a given timeframe. This choice is valuable to avoid old PC accounts from Active Directory. You likewise have the choice to get custom Active Directory Attributes. This is helpful if your association stores custom data in AD.

  • Open the SCCM Console
  • Go to Administration / Hierarchy Configuration / Discovery Methods
  • Right-Click Active Directory System Discovery and choose Properties

Active Directory System Discovery

  • You can enable the method by analysing Enable Active Directory System Discovery on the General tab.
  • Click the Star icon shown and choose the Active Directory container which you need to incorporate in the discovery process.

Active Directory container

  • Choose the frequency on which you require the discovery to occur on the Poling Schedule tab.
  • A 7 day cycle with a 5 minutes delta interval is usually applicable in most conditions.

Poling Schedule tab

  • You can choose custom ascribes to incorporate during discovery on the Active Directory Attribute tab. 
  • This is helpful on the off chance that you have custom information in the Active Directory that you need to use in SCCM. 

Active Directory Attribute

  • You can choose to find just records which have logged or refreshed their passwords since a particular number of days, on the Options tab. 
  • This is valuable if your Active Directory isn’t perfect. Utilize this to find great records.

Options tab

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2. SCCM Active Directory Group Discovery

Discovers groups from indicated areas in Active Directory. The discovery cycle finds local, worldwide or general security gatherings. At the point when you arrange the Group discovery you have the alternative to find the participation of distribution teams. With the Active Directory Group Discovery you can likewise find the PCs that have signed in to the space in a given timeframe. When found, you can utilize data for example, to make organization dependent on Active Directory groups. Be cautious while arranging this strategy : If you find a group that includes a PC object that isn’t found in Active Directory System Discovery, the PC will be found. On the off chance that automatic customer push is empowered, this could prompt undesirable customers PCs. 

To find resources utilising this methods :

  • Open the SCCM Console
  • Go to Hierarchy Configuration /Administration / Discovery Methods
  • Right-Click Active Directory Group Discovery and choose Properties.

 Discovery Methods

  • You can enable the method by analysing Enable Active Directory Group Discovery on the General tab.
  • Click on the Add button on the bottom to include a particular location or a specific group.
  • If you discover a group which includes a computer object which is NOT discovered in Active Directory System Discovery, the computer would be discovered.

General tab

  • Choose the frequency on which you require the discovery to occur on the Poling Schedule tab.
  • A 7 day cycle with a 5 minutes delta interval is usually applicable in most conditions.

 Poling Schedule tab

  • You can choose to find just records which have logged or refreshed their passwords since a particular number of days, on the Options tab. 
  • This is valuable if your Active Directory isn’t perfect. Utilize this to find great records.

the Options tab

3. Configuration Manager Active Directory User Discovery

Discovery process finds client accounts from determined areas in Active Directory. You additionally have the choice to bring custom Active Directory Attributes. This is valuable if your association stores custom data in AD about your clients. When found, you can utilize group data for instance to make client based arrangements. 

To find resources using this methods :

  • Open the SCCM Console
  • Go to Administration / Hierarchy Configuration / Discovery Methods
  • Right-Click Active Directory User Discovery and Choose Properties

Configuration Manager Active Directory User Discovery

  • You can enable the method by analysing Enable Active Directory User Discovery on the General tab.
  • Select the Star icon and choose the Active Directory container which you need to include in the discovery process.

Active Directory User Discovery

  • Choose the frequency on which you require the discovery to occur on the Poling Schedule tab.
  • A 7 day cycle with a 5 minutes delta interval is usually applicable in most conditions.

Enable Active Directory User Discovery

  • You can choose custom attributes to incorporate during discovery on the Active Directory Attribute tab.
  • It is useful if you have custom data in Active Directory which you need to utilise in SCCM.

delta interval

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4. Active Directory Forest Discovery

Finds Active Directory subnets and sites, and makes Configuration Manager limits for each site and subnet from the forests that have been arranged for revelation. Utilizing this discovery strategy you can naturally make the Active Directory or IP subnet limits which are inside the discovered Active Directory Forests. It is valuable in the event that you have various AD Site and Subnet, rather than making them manually, utilize this technique to do the work for you. 

To find assets utilizing this methods :

  • Open the SCCM Console
  • Go to Administration / Hierarchy Configuration / Discovery Methods
  • Right-Click Active Directory Forest Discovery and select Properties

custom attributes to incorporate

  • You can enable the method by analysing Enable Active Directory Forest Discovery on the General tab.
  • Choose the required options

Active Directory Forest Discovery

5. Heartbeat Discovery

HeartBeat Discovery operates on each customer and to refresh their discovery records in the database. The records (Discovery Data Records) are shipped off the Management Point in a determined span of time. Heartbeat Discovery can drive disclosure of a PC as another resource record, or could also repopulate the information record of a PC which was erased from the database. 

HeartBeat Discovery is empowered and planned to execute each 7 days. To find resources utilizing this strategies : 

  • Open the SCCM Console
  • Move to Hierarchy Configuration /  Administration / Discovery Methods
  • Right click the Heartbeat Discovery and choose Properties

Heartbeat Discovery

  • You can enable the technique by analysing Enable Heartbeat Discovery on the General tab.
  • Ensure that this setting is empowered and that the timetable operates less much of the time than the Clear Install Flag maintenance task.

Install Flag maintenance task

6. Network Discovery

The Network Discovery scans your network framework for network gadgets which includes an IP address. It can look through the spaces, SNMP tools and DHCP servers to discover the resources. It likewise finds gadgets that probably won’t be located by other discovery strategies. This incorporates printers, bridges, and routers. 

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 Conclusion

Configuration Manager utilizes an assortment of discovery strategies to assemble resource data and every one of the discovery techniques accumulates data about various items. You ought to comprehend its accessible configurations and restrictions to proficiently utilize a discovery technique. Hope this article assists you in understanding more about SCCM discovery methods.

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