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  • View profile for Govind G Nair, graphic
    Govind G Nair

    Data Science | Product Management

    I think this is an example of sound strategic thinking by Apple. Instead of attempting to create a general-purpose LLM that outperforms all others, Apple has asked: "What can we uniquely do that no one else can?" The answer lies in their OS-level access to user data, enabling the development of on-device, private models. This approach aligns perfectly with Apple's existing strengths, including their in-house silicon development. By optimizing both chips and models to work seamlessly together, Apple ensures a superior, integrated user experience. Additionally, it appears unlikely that any single LLM provider will dominate in terms of model quality or performance. While OpenAI's models are currently the best, they do not exhibit the same level of differentiation that iPhones do compared to Android devices. Apple of course has the capital to develop an LLM in the meanwhile if they think this is a material risk. If the ultimate winner is the player that commoditizes its complements, Apple is well-positioned to commoditize LLM providers rather than being commoditized by them.

    View profile for Ethan Mollick, graphic
    Ethan Mollick Ethan Mollick is an Influencer

    I wonder how much Apple AI is going to cause people to underestimate LLMs They are really building a better Siri, which is neat, but a 3B quantized model running on local silicon will be good for some stuff but not agentic reasoning. The cloud model doesn’t seem to maintain state or history and isn’t frontier. It looks like GPT-4 is just for specific questions. It is amazing that you can beat Siri largely with local AI on the phone, but the gap between a 3B model (plus whatever low latency model they are running in the cloud) and a frontier model is large. It is a completely sensible move, but also one that is pretty conservative.

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  • View profile for Nick Roseth, graphic
    Nick Roseth

    Spatial Computing | XR | Ai | Strategy | Emerging Tech | Advisor | Founder Explore Design | TedX Speaker

    Looking forward to trying out Apple Intelligence. Ethan Mollick makes an interesting point that local models on edge devices are far different than a Large Language Model. No doubt the Siri upgrade will be substantial, and (very important) not everything needs an LLM. Certainly appreciate Apple's focus on privacy when it comes to personal data and the balancing act with features that necessitates. All in all, very excited to see more Ai integrated into iOS. #Ai #artificialintelligence #generativeai  #appleintelligence #apple #iOS

    View profile for Ethan Mollick, graphic
    Ethan Mollick Ethan Mollick is an Influencer

    I wonder how much Apple AI is going to cause people to underestimate LLMs They are really building a better Siri, which is neat, but a 3B quantized model running on local silicon will be good for some stuff but not agentic reasoning. The cloud model doesn’t seem to maintain state or history and isn’t frontier. It looks like GPT-4 is just for specific questions. It is amazing that you can beat Siri largely with local AI on the phone, but the gap between a 3B model (plus whatever low latency model they are running in the cloud) and a frontier model is large. It is a completely sensible move, but also one that is pretty conservative.

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  • View profile for Tim Miner, graphic
    Tim Miner

    AI Strategist for Financial Services Companies | Keynote Speaker | Digital Transformation Leader | Salesforce Optimization Expert

    Two things make this a very unique offering: 1) Apple Intelligent's ability to make real function calls within iPhone based applications and 2) and it's ability to draw from the personal context. This (when it works!!) will draw us closer to the true assistant we always wanted to have. "Siri, organize a weekly report based on these emails and send it to my team," or "Schedule a meeting with the marketing team next Tuesday at 3 PM" and have Siri check schedules and send out invites. Is this a dream? Yes, this is the dream we all had when we first saw Siri. And until iOS18 works, it is still just a dream. But we finally have a company that owns access to all the endpoints, a pretty powerful processor to do some solid edge computing and a LLM model that holds up to time. This dream could become a reality. If it does, it will be miles above the competition.

    View profile for Ethan Mollick, graphic
    Ethan Mollick Ethan Mollick is an Influencer

    I wonder how much Apple AI is going to cause people to underestimate LLMs They are really building a better Siri, which is neat, but a 3B quantized model running on local silicon will be good for some stuff but not agentic reasoning. The cloud model doesn’t seem to maintain state or history and isn’t frontier. It looks like GPT-4 is just for specific questions. It is amazing that you can beat Siri largely with local AI on the phone, but the gap between a 3B model (plus whatever low latency model they are running in the cloud) and a frontier model is large. It is a completely sensible move, but also one that is pretty conservative.

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  • View profile for Ethan Mollick, graphic
    Ethan Mollick Ethan Mollick is an Influencer

    I wonder how much Apple AI is going to cause people to underestimate LLMs They are really building a better Siri, which is neat, but a 3B quantized model running on local silicon will be good for some stuff but not agentic reasoning. The cloud model doesn’t seem to maintain state or history and isn’t frontier. It looks like GPT-4 is just for specific questions. It is amazing that you can beat Siri largely with local AI on the phone, but the gap between a 3B model (plus whatever low latency model they are running in the cloud) and a frontier model is large. It is a completely sensible move, but also one that is pretty conservative.

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  • View profile for Jess Brant, graphic
    Jess Brant

    USMC Veteran | Smart City VP | FiberCity® | Building the future, one city at a time. Let's connect!

    🚀 Tech giants like Amazon, Microsoft, and Alphabet are crushing earnings expectations, thanks to their secret weapon: Artificial Intelligence! 🤖💼 📈 AI is the driving force behind the impressive revenue growth in their cloud divisions. Amazon's AWS, Microsoft Cloud, and Google Cloud are all reaping the rewards of their massive AI investments. 💰💻 🔮 Despite the AI hype, these companies remain bullish on the future, seeing AI as a key player in sustaining growth in the cloud industry. 🌐✨ #TechNews #AI #CloudComputing #Innovation #BigTech #FutureOfWork

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