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Daily Digest: Are Siri & ChatGPT friends now?

PLUS: Microsoft thinks knowledge work will change dramatically.

January 29, 2024

Hello folks, if you work at Meta, Microsoft, Google, Apple or Amazon - I’d love to know if your company is doing anything internally to encourage AI adoption for employees; like hackathons, workshops, internal tools etc - reply here 🙂 I’m writing a post about it.

here’s what we have today;

PICKS

  1. Let's break down what's happening with Apple and AI. With its latest beta release, iOS 17.4 update, we can see a glimpse of what's on the horizon for iOS 18. Apple's taking steps to revamp Siri and Messages with some testing against ChatGPT too. 🍿Our Summary (also below)

  2. Microsoft released their annual Future of Work report and this time around it’s not about remote work, it’s about AI. Like no one would guess that. The report has stats from many studies done in 2023, backed by theoretical research from past years. I compiled what you want to know in this 🍿busy man’s guide to the future of work with AI.

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QUICK BITES

Let's break down what's happening with Apple and AI. With its latest beta release, iOS 17.4 update, we can see a glimpse of what's on the horizon for iOS 18. Apple's taking steps to revamp Siri and Messages with some testing against ChatGPT too.

What is going on here?

Apple is expected to introduce advanced AI features in iOS 18, as suggested by iOS 17.4 beta code.

What does this mean?

The code in this release shows a new feature called SiriSummarization to improve how Siri understands and summarizes information, potentially making it more useful in daily tasks and communication. ChatGPT is lending a hand for now, but Apple is also testing its own AI models, such as "Ajax," to power these improvements.

Bloomberg also reported potential AI integration in Messages for auto-responses and sentence completion, driven by Craig Federighi's software team.

Why should I care?

In the iOS 17.4 beta, there's clear evidence that Apple is experimenting with enhancing Siri's capabilities, but it’s unlikely that Apple will use external models. This is more like testing their internal models vs ChatGPT (and Flan-T5 too).

Given Siri's (and honestly, most voice assistants’) lacklustre performance up until now, this move by Apple could be a game-changer. We all want assistants that can actually understand context and provide relevant, useful interactions. Let's see if Apple can take the lead in making assistants truly assistive.

QUICK BITES

Microsoft released their annual Future of Work report and this time around it’s not about remote work, it’s about AI. Like no one would guess that.

The report has stats from many studies done in 2023, backed by theoretical research from past years. I compiled what you want to know in this busy man’s guide to the future of work with AI.

(Disclaimer: some stats are approximated, and takeaways paraphrased. Slide numbers are in parentheses after each bullet point, refer to the the actual report if you want to cite stuff).

  1. Knowledge workers with ChatGPT are 37% faster, 40% higher quality but ~20% less accurate. Simple UX solutions to solve this are possible. (6)

  2. From a survey of enterprise users of Microsoft Copilot 365 (7):

    • 73% agree that Copilot makes them faster.

    • 85% said it would help them get to a good first draft faster.

    • 72% agreed about spending less mental effort on mundane or repetitive tasks.

  3. Most early studies have found that new or low-skilled workers benefit the most from LLMs. Less skilled workers improved by 43% vs more skilled who improved by about 17%. (8)

  4. Assistant needs to be paired with provacators i.e. LLM-based tools that challenge assumptions, encourage evaluation, and offer counterarguments. (9)

  5. AI can help with breaking down simple commands into micro-moments and microtasks, improving overall quality and efficiency. (10)

  6. Analyzing and integrating AI-generated information may become more important than searching and creating information. Skills not directly related to content production (leading, social interactions, trust issues, or emotional awareness) may be more valuable. (11)

  7. Prompting is hard, but people are getting good at it. Fine-tuning/using LLMs to generate prompts is making it easier as well. Prompt templates are helpful for end users. (12-14)

  8. Highlighting errors/uncertainty percentages can help balance reliance on LLMs. Prompting can be complemented with co-audit tools to check LLM outputs. (17-18)

  9. Generative AI requires self-awareness and well-calibrated confidence. At the same time, it can help in getting there too. (19)

  10. Creative activities are a process and LLMs can help across different parts. (21) 69% of Bing Chat conversations are in domains oriented toward professional tasks. (22)

  11. A larger chunk of LLM-based searches is complex (36% of them) than traditional searches (13% are complex). (22)

  12. In a study of 69 students, the use of Codex improved their performance in learning Python, but it did not impact their manual code-modification abilities. (24)

  13. LLMs can rapidly analyze data from humans and generate synthetic data. That’ll change how social science research is done. (27)

  14. LLMs in meeting can solve different problems like equal participation (instant feedback) and better interactions (retrospective feedback) (28-29).

  15. AI can help in delegating management responsibilities, freeing execs to focus on team vision. (30) 

  16. Modern office knowledge is in chats, not documents but applying AI over employee chats is tricky. (31-32)

  17. Approx. 80% of the US workforce could have at least 10% of their work tasks affected by GPTs. Around 19% of workers may have 50% of their tasks impacted. (38)

  18. “Innovation vs. automation” is often a better framework to use than “substitution vs. augmentation”. Augmentation can still mean job loss. It is important to try to track whether and where human labour is being used in innovative new ways. (39)

  19. Instead of “How will AI affect work?”, the question should be “How do we want AI to affect work?” (40)

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