Transcript: So at the grocery store I took both AirPods out of my ears before the cash register and getting into my car and driving away I noticed one was missing. I used the find my device function for Apple products and it was telling me that the left AirPod was in a parking lot across the street. I'm trying to follow it around the AirPod seemed to be following me so I assumed it was in my car but to eliminate the possibility that it was at the cash register and I went back inside it actually picked up the the search function like Marco Polo and come to find out it was inside underneath the sliding door. So found it but it definitely was not accurate by GPS but it was by local proximity.
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The speaker is exploring the idea of having a watch that can automatically track their activities such as surfing, climbing, and going to the gym based on their location. They are interested in whether this data can be gathered from the raw sensors and inferred later on, rather than in real time. They mention that GPS location and time while driving can provide a sense of what is happening and suggest that phone activity and location only need to be recorded at specific intervals, expressing a desire for their phone to be able to infer context and understand the relationships between different activities based on these data points.
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The speaker is reflecting on the use of local large language models and the potential impact on the technology industry. They contemplate the reasons behind using local AI and express a desire to delve deeper into the topic. Additionally, they explore thoughts about their future aspirations of potentially becoming a venture capitalist and their excitement for shaping potential futures. The speaker also ponders about whether large language models will be implemented locally on devices and considers the potential influence of companies like Apple on the hardware market. They discuss the uncertainty around upcoming software development kits and the need to prepare for that transition. The speaker concludes with a remark about the thick fog outside and indicates a temporary pause to focus on driving.
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The concept of the "light switch effect" was first acknowledged during the early stages of a nomadic journey to San Diego when the challenges of settling into new Airbnbs became apparent. The effect extends beyond literal light switches, encompassing the acclimatization process to a new environment, inclusive of locating essentials like coffee shops, understanding local laundry methods, and remembering Airbnb rules. As time passed and relocations became more frequent and environments more complex—such as moving to Mexico—the cognitive load of managing everyday logistics began to impede the ability to engage in productive, creative work. This effect has been termed the "light switch effect," which serves as a reminder to account for the decreased work capacity due to logistical overhead when planning transitions between multiple locations.
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The speaker's iPhone may not be able to capture the sound, but they describe the noise of their computer as intense. They express their intent to bring their phone closer to record the sound.
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The speaker is interested in using analytics and data to enhance human perception, and wonders if there are simpler or alternative methods to achieve this. They express a need to bring their watch and mention taking it out of the sports realm, suggesting a shift in focus. The speaker reflects on their own frustrations and desires in these experiences, indicating a desire for a more personalized approach to extending human perception.