Musk Gained Access to Politics, While Apple and OpenAI Gained Access to Our Data
What changes when Musk gains political influence while Apple and OpenAI gain increasingly deep access to personal data?
Break down the price of personalization in Apple and OpenAI and return controllable authority to the user; the assessment must check the scope of data and permissions, retention rules, and the ability to revoke access.
What to watch for
Key takeaways
The working conclusion from “A politician may not understand the difference between Starlink, xAI, and NVIDIA, but their decisions still” is that is why the story of Donald Trump and Elon Musk matters. Musk did not help the campaign out of an abstract love of politics: his companies depend on permits, contracts, export rules, and public money. Influence over the agenda becomes as much a business tool for him as speed of engineering execution.
The boundary of the “Search in ChatGPT and Apple Intelligence” case is defined by this point: the Camera Control button can photograph an object and pass it straight to Apple Intelligence, search, or ChatGPT — convenient, but it is unclear where the image is processed and which model sees the request.
The working conclusion from “How buggy is ChatGPT's search?” is that the search can gather data from websites and synthesize an answer, but hallucinations have not disappeared — the user still has to check the sources.
The “What do you think of Apple's AI interface?” issue should be assessed with one constraint in mind: the hosts put the question to the audience — write what you think of Apple's direct interface and of ChatGPT search, and what you actually use; real habit, not announcements, decides the answer.
The “You don't need Claude anymore? 160 billion OpenAI and 8 billion Perplexity” issue should be assessed with one constraint in mind: Perplexity builds a separate business on search and is valued in the billions, while OpenAI's enormous valuation covers model, product, and distribution at once — good search is not only answer quality but the user's habit of going to a particular window.
The decision in “Has Apple lost the AI race?” depends on one criterion: Apple is playing not for the best model but for the interface and operating-system layer through which a person chooses a model — at that level, lagging in its own AI does not yet mean losing the race.
The working conclusion from “The OS battle: will Samsung do anything at all? How Google's Pixel policy keeps partners from developing their own AI solutions” is that trust in ChatGPT search is a habit, but the OS owner can swap the external model for its own at any moment, leaving no advantage to any outside system; for Samsung on Android, Google pushing its own apps sharpens that question.
The “Will Elon Musk start running the technology agenda?” issue should be assessed with one constraint in mind: the race is for the right to stand between the person, their data, and an action, and Musk's influence sharpens the question of who sets the rules — the state, the platform, or an entrepreneur who controls communications, transport, a social network, and models at once.
What this episode is about
After the US election, technology can no longer be separated from political power. Elon Musk gains influence over government decisions, NVIDIA finances the largest buyer of its chips, and Apple integrates ChatGPT into the phone interface. The user is left between convenience, politics, and one question: who can be trusted with personal context now?
A politician may not understand the difference between Starlink, xAI, and NVIDIA, but their decisions still determine where those technologies operate and who can access them. That is why the story of Donald Trump and Elon Musk matters.
Musk did not help the campaign out of an abstract love of politics: his companies depend on permits, contracts, export rules, and public money. Influence over the agenda becomes as much a business tool for him as speed of engineering execution.
At the same time, technology companies are building a new system of access to data. The Camera Control button on an iPhone can photograph an object and immediately pass it to Apple Intelligence, search, or ChatGPT.
That is convenient: the user does not have to open a separate application and explain the context again. But it is unclear where the image is actually processed, which model sees the request, and whom the user ultimately trusts with the photograph.
ChatGPT search deepens that dependence. It can gather information from websites and synthesize an answer, but hallucinations have not disappeared.
Perplexity has built a separate business around this and is valued in the billions, while OpenAI receives an enormous valuation from its model, product, and distribution together. The difference shows that good search is not only about answer quality, but also about the user's habit of going to a particular window.
NVIDIA is playing a wider game than chip sales as well. By investing in OpenAI, it supports the largest consumer of compute and gains exposure to the growth of the entire market. Apple, Microsoft, Meta, and Google are trying to occupy another layer—the interface and operating system through which a person chooses a model.
The race is therefore not for one best AI. It is for the right to stand between the person, their data, and an action. Once Musk's political influence is added, the question becomes sharper still: who will set the rules—the state, the platform, or an entrepreneur who controls communications, transport, a social network, and models at the same time?
Memory and personalization work for the user only while the user can see the data source, correct the model, and delete the accumulated context.
Episode transcript
The episode is in Russian; below is an English reading guide to the transcript (the full EN transcript is a machine translation). Voice matching applied to 45 segments: 31 identified, 0 mixed, 11 probable, and 3 unresolved.
Read transcript on a separate page
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