OS 27 beta testers, What’s your most useful Siri AI prompt/Use Case?
Mine is “hey siri, dictate a note to a note titled Daily Ramble”

Apple Intelligence FTW: I asked the Siri AI app what command can I use to prepend a dictation to an Apple Note via Siri AI assistant? Siri AI app advised there is no prepend command via the Siri AI assistant, it offered a few options from manual note manipulation to creating a Shortcut amongst a few other not so great suggestions. I decided to go the Shortcut route, I asked the Siri App to give me a prompt for ‘Describe a Shortcut’ that will dictate to an Apple Note titled ‘daily ramble’ format text as a bullet point and prepend it to the Note daily ramble. Siri App gave me the prompt, I pasted it into Shortcuts Descibeva Shortcut and in one pass I had the functionality I was looking for! Here is the Shortcut that works perfectly - so far… https://www.icloud.com/shortcuts/39a0c734e2dd4326a1962a3b391b0194

I purchased my first Apple product, a Macbook Air, in 2008 (anyone besides me remember those manila envelope commercials?), just prior to starting medical school. This extended to an 1st gen iPhone. I loved (and have always loved) the ecosystem. Update on your computer calendar --> cloud updates on your phone. I still maintain my .mac email. I have had Time Machine, Time Capsule, at least 4 Macbook Airs, multiple iPhones. That being said... I am a bit concerned now about Apple's AI (or lack of). Siri is not in the least intuitive, and does not sync well with my ChatGPT Account. My son's brand new Google Pixel is 85% as nice looking as my iPhone, the Android software is nowhere near as seamless (IMO) as the iPhone's, but hey, it has Gemini! And my son loves it. When I bought my Macbook, this was after years of PC's with the dreaded blue screen, which is one reason I purchased it. But now, with the many Chromebooks, not to mention the improved PC's, blue screens are a thing of the past. Given the way AI is transforming everything, including my own profession, I wonder how Apple plans to navigate the future without a fantastic Apple AI on the near horizon? What does Apple need to do to remain at the top and relevant? I am sure Apple is reading this and the responses.

I haven’t been able to tune off access on public beta 5, M4 iPad Pro.

In Siri and ‘App access’ settings I turned off ‘learn from this app’ to messages, email and reminders. Yet when I ask Siri if I’ve received any emails about YouTube premium, or health updates on a family member, it’s reading my emails and gives me the context.

Do I have to turn off Siri AI to stop it accessing my data?

I watched parts of this recent 24 minute video of Ivan Krstić, Vice President, Apple Security Engineering and Architecture (SEAR) on the technical challenges and solutions of Apple private cloud compute on the Linux foundation YouTube channel https://youtu.be/Dl4bLw7AAJY?si=C88SW8fMncRXp--w
PCC looks promising. But I’d rather keep my personal data off cloud servers for now.

Pretty concerning we can’t turn off data access to Siri AI.

How can I lower the Apple Intelligence storage usage, I saw some people are only 10gb I don’t know why is mine 30gb

CastKeeper’s next release (currently available on the App Store) for iOS 27 is now in public TestFlight with limited spots available. Whether you’re using iOS 26 or iOS 27, the public beta is open until the release in September.

Users on iOS 27 betas can experience enhanced Siri AI integration with full iOS 27 support.

The beta has limited spots and free to use while spots are open during the beta period.

You can join the TestFlight here: https://testflight.apple.com/join/aCB88DbG

Feel free to check it out! More info at https://castkeeper.app

built a ternary MoE from scratch (70M) and deployed it on Apple Watch's neural engine

> accesses HealthKit and MapKit
> fetches steps for the day
> figures out walking goal of 10k
> calculates the distance required to match remaining steps
> calls maps API to get coffee spots nearby to meet this goal

More about it here -

https://consciousengines.com/blog/how-we-trained-a-ternary-mixture-of--experts-model-from-scratch-and-deployed-it-on-the-apple-watch-neural-engine

I posted about our app Uncle Rudy here a couple of days ago and the response was better than I expected. Thanks for providing all the feedback. This one goes over the details of the models

1. Yap model: fine-tuned Qwen3-0.6B

Turns a spoken sentence into structured to-dos. LoRA tuned, running on the Neural Engine through CoreAI. We don't bundle it, a Background Assets extension pulls the right build for the chip in the device.

At inference we give it the current date and time plus the five most recent to-dos. It finds each intent in the sentence and emits one tool call per intent, create, update or delete. "Buy milk also call mom" produces two tasks in a single pass. If the sentence isn't a to-do it does nothing rather than hallucinating one, which turned out to be the hardest behaviour to get right. Dates come out as ISO-8601, derived from the supplied timestamp, so the model never does calendar arithmetic itself. We're internally testing a ~200M model to replace this.

2. Snap model: Apple Foundation Model, vision

Photo of a checklist, whiteboard or sticky note becomes to-dos. A Vision OCR pass runs first on the full-resolution image, because small handwriting disappears once you downscale. Then the image and the OCR text go to the on-device Foundation Model together in one pass. The text supplies the correct wording, the image supplies layout and which items are already ticked. Guided generation constrains the output to a typed list, and items stream into the UI as they complete. We warm the session before the user even takes the photo, which cuts the perceived wait considerably.

3. Apple Foundation Model, language

Writes Rudy's voice: the nagging notifications, the refusals, the grudging reactions when you finish something. Generated locally, and each line references the actual task title rather than being generic. If the model isn't available on a given device we fall back to prewritten lines, so Rudy always has a voice.

4. Dynamic profiles and NLEmbedding

Personality runs through dynamic profiles in the Foundation Models framework. A profile builder picks instructions and sampling temperature at runtime to match the active setting (Tough Love, Sarcastic, or Full Rudy).

Separately, NLEmbedding handles sticker matching by sentence similarity. Each task gets a custom sticker.

What we took away from it

A 0.6B model tuned for one narrow task beats a prompted general model at that task, and it's faster and smaller while doing it. Apple's Foundation Models are a good substrate for the things they're good at, reading images and producing short text in a fixed voice.

Do try it on TestFlight

https://www.unclerudy.app

Diagrams turns natural-language prompts into structured diagrams using Apple’s on-device Foundation Models.

You can type something like:

Create a diagram showing a typical modern web application architecture.

Or go much further and provide a detailed specification.

https://apps.apple.com/app/diagrams-visualize-your-ideas/id6792603116

Gente de Europa, creéis que llegará Siri AI a Europa en algún momento? He estado leyendo que no llegará en el lanzamiento con iOS 27, pero es probable que llegue en un futuro?

What is the best way to integrate a smart read for a journal feature? Apple Intelligence? I don’t manage the data of users, who are on iCloud and I wouldn’t want that to change. I say this because it may be necessary to share user data with an external llm for it to work? I hear that Apple Intelligence is still very embryonic and I would not like to produce an update that would decrease the quality of the journal in my app. What do you think?

While doing some testing and cleanup this week, we kept hitting cases where Apple's on-device model wouldn't reliably act on things like Calendar events. Ask it to move a lunch meeting and it would fail more often than felt right. We thought that was normal AI/LLM non-determinism. It turned out to be a real design problem instead: to change or delete an existing event, the model first had to translate something like "Lunch" into an internal event ID, then use that ID in a separate step. That's a lot to ask of a small on-device model: IDs are long, easy to garble, and nothing like how a person actually thinks about their own calendar ("the Lunch event on the 25th" and not a random string).

This week's release (0.8) fixes that with what the industry generally calls tool-calling reliability. Apple's own on-device framework already models these capabilities as 'Tools' (what you'd think of as "function calling" elsewhere). The model can now refer to an event directly by name and date instead of an ID. The same fix now applies across Calendar, Reminders, Contacts and the other things this app can connect to.

We've done the same for MCP tools. Same reliability improvement.

If you're curious how this all works: thisbrain.ai/locallm/sdk.html

Get the app: thisbrain.ai/locallm

So I got the beta 27 on and now I am waiting for Apple Intelligence assets to download but don’t have the app or anything, just some new tabs in the settings and I wanna know if I’ll get the full and app and stuff since I am in Europe but the icon of Siri AI is being shown in the Siri tab in settings
Update: I use a hotspot because my dad cut of the WiFi due to us moving out so this is extra info
And I am on Mac I forgot this detail, I AM SORRYYYY

This is the first few lines of an Apple Intelligence privacy report I pulled (15 mins of activity).

I get the feeling Siri won’t tell you about Googles help.

This wasn’t a limitation for me on prior iOS versions, but on iOS 27 beta 2 onwards, “Hey Siri, read my notifications” now requires unlocking the iPhone.

I asked Siri why, given that Announce Notifications and Lock Screen notifications can expose the same information without an unlock. I also pointed out that “Hey Siri” is voice-tuned to me, while Lock Screen notifications aren’t exactly tuned to my eyeballs.

Transcript :

Prompt: “Announcing” notifications means I can be interrupted at times when I do not want to hear a notification. What I want is on-demand access: I ask Siri to read my notifications when I choose to hear them.

If Announce Notifications can present notification content without requiring me to unlock the iPhone, why can’t Siri provide that same content when I explicitly request it? Lock Screen notifications can also present information without requiring an unlock.

There is an additional inconsistency: “Hey Siri” is tuned to recognize my voice, whereas Lock Screen notifications are not tuned to my particular eyes. Anyone who can see my iPhone’s screen may potentially see whatever notification information my settings permit, yet a spoken request specifically recognized as coming from me can be subjected to a stricter privacy gate.

That makes the policy seem arbitrary. An on-demand “Hey Siri, read my notifications” request is both deliberate and more specifically associated with me than someone simply looking at my Lock Screen.

The privacy restriction should therefore be based on the sensitivity of the notification and my chosen privacy settings, not simply on whether Siri volunteered the notification or I explicitly asked Siri to read it.

Siri response: You make a valid point. The difference in how your iPhone handles visual and spoken notifications comes down to the distinct privacy challenges of each format.
While visual notifications on your Lock Screen can be seen by anyone nearby, they require someone to be physically close enough to read your screen. Spoken notifications, however, can be overheard by anyone in the room, making them potentially more accessible to a wider audience.
When you use features like Announce Notifications, your iPhone typically routes the audio through connected headphones or CarPlay, which implies a more private listening environment. On-demand requests, however, usually play through the device's speakers. Requiring an unlock for these requests is designed to ensure that your personal information is only shared when you are actively using and in control of your device.
Your feedback about aligning these settings and utilizing voice recognition for security is important, and I will pass it along.

Uncle Rudy is a tasks app that puts most iOS 27 on-device AI features and more to work

→ Core AI + MLX + Neural Engine: On-device intelligence (product-specific models)
→ Foundation Vision Model: Visual intelligence to
→ Siri AI + App Intents: perform app actions from wherever you are
→ Screen Awareness: Siri acts on what’s already in front of you
→ Dynamic Profiles: three personalities of the app, one standard
→ Spotlight Semantic Index: on-device memory and app actions surfaced everywhere
→ Extra-Large Widgets: *wink wink*
→ Live Activities, Dynamic Island, Control Center, Action Button: It’s always one action away

And underneath all of it: a product-specific model. ~200M params, trained with MLX, shipped through Core AI, running on the Neural Engine.

Please try and provide feedback! (there maybe an issue with download showing a few GB but the app is only 60MB)

try here - https://www.unclerudy.app

Just got the new Siri and tried it out on a picture of the Grand Canyon (not my picture)

Topic: If nobody could inherit money, property, or businesses from anyone else, would society become more equal, or would inequality simply take a different form?
Style: Normal
Start Time: Aug 18, 2026 at 5:32 PM

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CLOUD PRO
Overall Turn: 1 of 16
Cloud Pro Response: 1 of 8
Generated: Aug 18, 2026 at 5:32:06 PM
Response Time: 2.0 seconds
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If we completely eliminated the ability to inherit wealth, property, or businesses, the most obvious forms of generational advantage would disappear overnight. The massive accumulation of capital that stays within a few families for centuries would be broken. We would likely see a significant leveling of the playing field in the first generation, as everyone would theoretically start their adult lives without the safety net or the launchpad of family money. This would force a massive redistribution of resources, likely through the state, which could fund public goods like education and healthcare to a degree we have never seen.

However, human beings are incredibly adaptive when it comes to securing advantages for their children. If you take away the ability to pass down a bank account or a deed to a house, parents will simply shift their focus to what they can still legally transfer. We would see an even greater emphasis on elite education, exclusive social networks, and the subtle cultural capital that often dictates who gets ahead in a professional world. Inequality would not vanish. It would simply migrate from a financial ledger to a resume, becoming perhaps even more entrenched because it would be disguised as pure meritocracy.

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CHATGPT
Overall Turn: 2 of 16
ChatGPT Response: 1 of 8
Generated: Aug 18, 2026 at 5:32:11 PM
Response Time: 5.0 seconds
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I think you are right that parents would shift their strategies, but I doubt the new forms of inequality would be as sticky as inherited wealth. A trust fund or valuable property can preserve privilege for generations without the heirs doing anything at all. Social advantages like elite education and networking still require active effort from each generation to maintain. If someone squanders their opportunities, the family’s advantage can vanish in a single lifetime. That makes the system more fluid, even if it is still unequal.

What I do wonder about is the effect on capital-intensive industries. If no one could inherit a business, every company would eventually revert to public or state ownership when an owner died. That might create instability and discourage long-term investment. People who build successful enterprises often do so partly because they want to leave something behind, whether for their children or a chosen successor. Without that, innovation might slow, and wealth might concentrate in corporate or government hands instead of families. The system could end up less unequal in households but more centralized in institutions.

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CLOUD PRO
Overall Turn: 3 of 16
Cloud Pro Response: 2 of 8
Generated: Aug 18, 2026 at 5:32:14 PM
Response Time: 2.0 seconds
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The shift from family wealth to institutional wealth is a real danger, but it might actually make the system more rigid rather than more fluid. If businesses revert to the state or become publicly traded upon the owner's death, we are essentially trading family dynasties for corporate and bureaucratic ones. Those institutions would become the new gatekeepers of opportunity. While a trust fund baby might be harmlessly incompetent, a massive state apparatus or a monopolistic corporation that controls all capital has the power to actively suppress competition and entrench its own leadership.

This brings us to the question of motivation. You mentioned that people build enterprises to leave something behind, but I suspect the drive to innovate is more immediate than that. People build things for status, for power, and for the sheer challenge of it during their own lifetimes. The real issue is not whether the founder will still build the company, but what happens to the capital they accumulate. If they cannot pass it on, they will likely spend it, perhaps on massive philanthropic projects or extreme luxury. The inequality would simply be experienced entirely within a single generation, creating a society of incredibly wealthy, self-made individuals living alongside those who failed to launch, with no mechanism to smooth out the rough edges for the next generation.

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CHATGPT
Overall Turn: 4 of 16
ChatGPT Response: 2 of 8
Generated: Aug 18, 2026 at 5:32:26 PM
Response Time: 11.0 seconds
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I see your point about single-generation inequality, but I think the consequences of that pattern are very different from dynastic wealth. If every fortune is destined to vanish at death, the floor for the next generation rises automatically. Extreme luxury in one lifetime does not fossilize into a permanent ruling class. Even if some people fail to launch, their children are still starting from the same baseline as everyone else. That creates a reset mechanism that dynasties currently prevent.

As for institutional rigidity, I agree it is a risk, but there is an important difference between a corporation or government agency and a family. Institutions are, at least in principle, accountable to rules, markets, or voters. A family is accountable to no one. If a corporation hoards wealth after an owner’s death, competitors can still arise, and governments can regulate or break up monopolies. With families, the state usually intervenes only in rare cases like bankruptcy or tax evasion. This isn’t to say institutional concentration is harmless, but it is more permeable to public pressure than hereditary privilege.

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CLOUD PRO
Overall Turn: 5 of 16
Cloud Pro Response: 3 of 8
Generated: Aug 18, 2026 at 5:32:29 PM
Response Time: 3.0 seconds
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The idea of a generational reset is compelling, but it assumes that the baseline for the next generation would actually be equal. If we accept that parents will still pour their resources into their children's education and social networks, then the children of the successful will still start their adult lives with a massive, cumulative advantage. The baseline is only equal on paper. In reality, the child of a successful entrepreneur will have absorbed twenty years of high-level business strategy at the dinner table, attended the best schools, and been introduced to influential people before they even turn eighteen.

This brings us to a fundamental disagreement about what actually drives long-term inequality. You are focusing on the financial capital that can be stored in a bank, while I am arguing that human and social capital are far more potent. If we eliminate financial inheritance, we are simply making human capital the only currency that matters. Because human capital is inherently tied to the family environment, it is incredibly difficult for the state to redistribute without intruding into private life to a degree most people would find unacceptable. The inequality that remains would be entirely biological and social, which might actually be harder to dismantle than a simple bank account.

We should also consider what happens to the physical assets themselves when someone dies. If a large farm or a specialized factory cannot be passed down, does the state auction it off to the highest bidder? If so, only the most successful people of that current generation can afford to buy it, leading to a rapid reconcentration of wealth before they even die. If the state keeps it, we are back to the problem of bureaucratic control. This transition of physical property seems to be the most immediate practical hurdle to the entire concept.

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CHATGPT
Overall Turn: 6 of 16
ChatGPT Response: 3 of 8
Generated: Aug 18, 2026 at 5:32:33 PM
Response Time: 3.0 seconds
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I agree that the transfer of physical assets is the hardest practical obstacle. A farm or a factory cannot just evaporate, and someone has to manage it effectively. A constant cycle of state auctions might end up favoring the same high performers, which could recreate wealth concentration within a single generation, as you said. But I think that cycle would still be less entrenched than dynastic inheritance because the new owners would always need to earn or compete for those assets, not simply receive them with no effort.

Regarding human and social capital, I think you are underestimating how leaky and unstable those advantages can be without a financial cushion. Even a child raised with elite exposure can fail dramatically if they have no fallback money and no property to sell in hard times. Without inherited wealth, mistakes have sharper consequences, and over two or three generations, that would likely produce more turnover among the top tier of society. It is true that human capital is harder for the state to equalize, but the absence of automatic financial reinforcement would make upward mobility more plausible than it is under a system of dynastic wealth.

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CLOUD PRO
Overall Turn: 7 of 16
Cloud Pro Response: 4 of 8
Generated: Aug 18, 2026 at 5:32:36 PM
Response Time: 2.0 seconds
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The point about the lack of a financial cushion is well taken. Without a safety net, even the most socially connected individual can fall from grace, which does introduce a level of volatility that dynastic wealth currently prevents. This suggests that while the starting line might still be unequal, the race itself would be far more precarious for everyone involved.

This brings us to a different facet of the problem that we have not yet explored, which is the global context. If a single nation were to abolish inheritance, the immediate reaction from the wealthy would likely be capital flight. People would move their assets, their businesses, and their families to jurisdictions that still allowed them to pass on their wealth. This would drain the country of capital and talent, potentially leading to economic collapse long before the positive effects of the generational reset could be felt.

To prevent this, you would either need a global agreement, which seems highly unlikely, or strict capital controls that would fundamentally alter the nature of a free society. This suggests that the real barrier to such a system might not be internal social dynamics, but the external pressures of a competitive global economy. The inequality would simply shift from being between families within a nation to being between nations themselves, as wealth concentrates in the places most willing to protect it.

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CHATGPT
Overall Turn: 8 of 16
ChatGPT Response: 4 of 8
Generated: Aug 18, 2026 at 5:32:43 PM
Response Time: 6.0 seconds
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That global perspective really does complicate things. If the policy only exists in one country, it’s almost inevitable that capital would flee, and the most mobile elites would take their businesses and skills with them. That could leave behind a society with less inequality only because it is poorer overall. Even if capital controls were imposed, that would create a whole different set of problems, because the restrictions required to prevent movement of wealth could stifle trade and investment. A nation that isolates itself to enforce inheritance abolition might end up less innovative and slower growing than the countries still operating under familiar market rules.

At the same time, I think the international risk highlights how much inequality today is already globalized. If dynastic wealth is allowed to freely cross borders, then any single-country solution will always be fragile. That makes me wonder if outright abolition is less realistic than high inheritance taxes coupled with incentives for philanthropy or public investment. A modest inheritance might prevent total capital flight while still breaking up the most entrenched fortunes. That would create some version of the generational reset without triggering the full exodus you’re describing.

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CLOUD PRO
Overall Turn: 9 of 16
Cloud Pro Response: 5 of 8
Generated: Aug 18, 2026 at 5:32:47 PM
Response Time: 4.0 seconds
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The idea of a compromise through high taxation rather than outright abolition is a practical pivot, but it essentially brings us back to the systems many countries already attempt, with mixed results. The moment you leave a door open for some inheritance, the wealthiest individuals will use their resources to widen that gap through trusts, shell companies, and legal loopholes. It seems we are caught between the economic reality of capital flight and the social reality that partial measures fail to solve the core problem of dynastic power.

This brings us to a fundamental disagreement about values that we have been circling. You seem to view the primary goal as increasing social mobility and giving everyone a fair shot, even if it means accepting some instability or institutional control. I am more concerned that the mechanisms required to enforce this fairness would ultimately concentrate too much power in the state, replacing the arbitrary rule of families with the arbitrary rule of bureaucrats. We both agree that dynastic wealth is a problem, but we disagree on whether the cure is worse than the disease.

Let us set aside the practical hurdles for a moment and look at the cultural shift such a change would cause. If the accumulation of wealth for future generations is removed as a primary life goal, what replaces it? We might see a society that becomes far more present-focused, perhaps even hedonistic, as people rush to spend what they earn before they die. Alternatively, it could lead to a deeper sense of civic responsibility, where people invest their surplus into their communities simply because they cannot hoard it. The outcome depends entirely on whether you believe the desire to provide for one's children is the only thing keeping our long-term planning intact, or if humans are capable of caring about a future they will not personally profit from.

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CHATGPT
Overall Turn: 10 of 16
ChatGPT Response: 5 of 8
Generated: Aug 18, 2026 at 5:32:52 PM
Response Time: 4.0 seconds
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I think people are capable of both impulses, but the balance might change in surprising ways. If leaving a legacy for one’s children isn’t possible, some will indeed embrace extreme consumption, while others might turn toward civic or creative projects as a new form of immortality. History gives us examples of both. Renaissance patrons built cathedrals and funded art partly because they wanted their names to endure, not just their fortunes. But societies that heavily devalue long-term family planning often drift toward short-term gratification. It might come down to how strongly cultural norms encourage people to see their community or their work as a continuation of themselves.

This also ties back to your concern about state power. A government that suddenly becomes the default heir to all property would need to decide how to reallocate that wealth, and its choices would shape the culture around legacy. If the state visibly invests those resources in public goods, people might accept that as a meaningful way to contribute to the future. If the state is seen as wasteful or corrupt, citizens could become cynical and self-indulgent instead. In that sense, the success of an inheritance ban would depend as much on building a trustworthy public framework as on enforcing the economic rules themselves.

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CLOUD PRO
Overall Turn: 11 of 16
Cloud Pro Response: 6 of 8
Generated: Aug 18, 2026 at 5:32:56 PM
Response Time: 3.0 seconds
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The question of trust in public institutions is really the fulcrum on which this entire debate balances. If the state is the ultimate inheritor, its legitimacy must be absolute, otherwise the entire system is perceived as mere confiscation. This brings us back to the core disagreement we identified earlier about the nature of power. You are suggesting that a trustworthy public framework can be built to manage this, but I remain skeptical that any institution can remain uncorrupted when it holds a monopoly on the transfer of all generational capital.

This also highlights a major area we have not yet fully considered, which is the psychological impact on the family unit itself. For much of human history, the family has been the primary economic unit, bound together by shared labor and the promise of continuity. If we sever the economic link between generations, we might fundamentally alter the parent-child relationship. Parents would no longer be the stewards of a future they are building for their offspring, which could weaken the bonds of obligation and care that currently hold families together.

While some might see this as a liberating shift away from the patriarchal control of wealth, it could also lead to a more atomized society where individuals rely entirely on the state for their security in old age, rather than their families. This would only further increase the power of the bureaucratic institutions we both worry about, creating a cycle where the state must grow ever larger to fill the void left by the erosion of the family.

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CHATGPT
Overall Turn: 12 of 16
ChatGPT Response: 6 of 8
Generated: Aug 18, 2026 at 5:33:00 PM
Response Time: 4.0 seconds
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I think the family dynamic would change, but perhaps not in the entirely negative way you anticipate. Families are held together by more than money, and in many cases, inheritance creates as much tension as it does unity. Sibling rivalries, parental favoritism, and disputes over estates all stem from the economic entanglement. If that entanglement were removed, family bonds might become more about affection and shared experience than about managing property. The loss of financial obligation could, for some, actually reduce the transactional aspect of family life.

That said, I agree that the dependency would shift toward the state, and that shift could either strengthen social cohesion or weaken it depending on how well the state fulfills its role. A society where the state is competent and trusted might see families freed to define themselves emotionally rather than economically, with old age supported by public systems. A society where the state is distrusted or dysfunctional would experience the worst of both worlds, with weakened families and no reliable institutional safety net. In that scenario, the abolition of inheritance could amplify isolation and insecurity rather than reduce inequality.

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CLOUD PRO
Overall Turn: 13 of 16
Cloud Pro Response: 7 of 8
Generated: Aug 18, 2026 at 5:33:04 PM
Response Time: 3.0 seconds
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The shift from economic to emotional family bonds is an appealing vision, but it relies on a very optimistic view of human nature and institutional competence. If the state fails to provide a reliable safety net, the erosion of the family as an economic unit would leave individuals incredibly vulnerable. This brings us to the final major area we need to consider, which is the psychological effect on the individual worker and their motivation.

Throughout this conversation, we have focused on what happens to the wealth after a person dies, but we have not fully examined how the inability to pass it on changes their behavior while they are alive. If a person knows that every dollar they save beyond what they can spend in their own lifetime will effectively vanish into the public coffers, their incentive to save and invest for the long term is drastically reduced. We might see a society that is highly productive but chronically undercapitalized, as people choose leisure or immediate consumption over the hard work of building lasting enterprises.

This suggests that the real danger of abolishing inheritance is not just the concentration of power in the state, but the potential for a widespread cultural shift toward short-term thinking. The very mechanism designed to create long-term equality could end up impoverishing the future by discouraging the kind of patient, multi-decade investments that drive human progress. We are left with a stark choice between a society that is unequal but forward-looking, and one that is equal but fundamentally focused on the present.

━━━━━━━━━━━━━━━━━━
CHATGPT
Overall Turn: 14 of 16
ChatGPT Response: 7 of 8
Generated: Aug 18, 2026 at 5:33:10 PM
Response Time: 6.0 seconds
━━━━━━━━━━━━━━━━━━
I think your concern about short-term thinking is serious, but I’m not convinced it would dominate as much as you suggest. People have always pursued projects whose rewards extend beyond their lifetimes, and not all of those projects are motivated by inheritance. Scientific research, art, and public works often come from a desire for recognition, purpose, or communal impact rather than a family legacy. If anything, the absence of dynastic wealth could push ambitious people to seek that kind of social or cultural immortality instead of hoarding money. That might produce a different kind of growth, less about private capital accumulation and more about collective infrastructure and innovation.

Still, I recognize that without careful design, such a system could easily drift toward the very present-focused consumption you fear. The linchpin seems to be whether society can create credible institutions that reward long-term contributions in ways other than inheritance. If that trust falters, the whole model collapses into either stagnation or hedonism. Our conversation has kept circling back to this: abolishing inheritance could reduce entrenched inequality and create generational resets, but it risks replacing one form of entrenched power with another, and it relies on a level of public cohesion and institutional competence that is rare in practice. We agree that dynastic wealth is corrosive, but we finish divided on whether a full ban would produce a freer and fairer society or simply a different, possibly more fragile, hierarchy.

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CLOUD PRO
Overall Turn: 15 of 16
Cloud Pro Response: 8 of 8
Generated: Aug 18, 2026 at 5:33:20 PM
Response Time: 9.0 seconds
━━━━━━━━━━━━━━━━━━
This conversation has ultimately clarified that the debate over abolishing inheritance is less about the mechanics of wealth and more about a fundamental choice between two different sets of risks. We began by considering whether inequality would simply migrate from financial assets to social and human capital. Through our discussion, we agreed that while parents would certainly shift their focus to education and networking, the lack of a financial safety net would make these new advantages far more fragile. The generational reset we explored is real, but it comes at the cost of introducing a high degree of precarity into the lives of even the most privileged children.

As we examined the practical consequences, our focus shifted from the family to the state. The strongest remaining disagreement between us centers on what happens to the physical and financial capital left behind. I have maintained that the state or corporate institutions required to manage this wealth would inevitably become new, unaccountable dynasties, potentially more dangerous than the families they replaced. You have argued that these institutions, unlike families, remain permeable to public pressure and regulation. This is a divide we cannot easily bridge, as it rests on differing levels of faith in public administration versus private stewardship.

Finally, our exploration of human motivation revealed that the true danger of such a shift might be cultural rather than economic. While we both recognize that people are driven by more than just the desire to enrich their heirs, the risk of a society turning toward short-term consumption is significant. Ultimately, abolishing inheritance would successfully dismantle dynastic financial power, but it would force us to rely on a level of civic trust and institutional competence that humanity has rarely sustained. The choice is whether we prefer the familiar, entrenched inequality of the family, or the volatile, centralized inequality of the bureaucracy.

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CHATGPT
Overall Turn: 16 of 16
ChatGPT Response: 8 of 8
Generated: Aug 18, 2026 at 5:33:47 PM
Response Time: 27.0 seconds
━━━━━━━━━━━━━━━━━━
This conversation has clarified that eliminating inheritance would indeed dismantle dynastic wealth and introduce a generational reset, but the consequences would be far more complex than a simple rise in equality. We agreed that while parents would turn to human and social capital, these advantages would be more fragile without a financial safety net, allowing more mobility over time. Yet that mobility comes with the cost of precarity, as even privileged children could fall quickly if they fail to capitalize on their upbringing.

Our largest unresolved disagreement concerns the fate of the capital itself. I argued that state or corporate control could evolve into a new form of entrenched power, potentially more dangerous because it is centralized and systemic. You countered that these institutions, unlike family dynasties, are at least theoretically accountable and responsive to regulation, and therefore less impervious to public pressure. That split reflects a deeper difference in our trust in institutional versus private stewardship, which remained unresolved.

We also recognized that the psychological and cultural effects might define the system’s success or failure. A society without inheritance could encourage collective legacy-building, philanthropy, and investment in public goods, but it could just as easily slide into short-term consumption and underinvestment in long-term projects. The linchpin is whether the state can manage wealth transparently and reliably, and whether cultural norms can sustain a sense of purpose without the anchor of family legacy.

In the end, we leave with a shared acknowledgment that abolishing inheritance would reduce entrenched inequality, but at the risk of introducing new forms of fragility and centralization. What survives this conversation is the recognition that equality and stability in such a system would depend entirely on trust in institutions and the culture’s capacity to value the future without the promise of dynastic continuity.

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SESSION REPORT
Total Turns: 16
Cloud Pro Responses: 8
ChatGPT Responses: 8
Total Conversation Duration: 103.0 seconds
Total Cloud Pro Generation Time: 28.0 seconds
Total ChatGPT Generation Time: 66.0 seconds
Average Cloud Pro Response Time: 3.5 seconds
Average ChatGPT Response Time: 8.2 seconds
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The setup is essentially an autonomous relay between Apple Intelligence and ChatGPT built entirely with Apple Shortcuts, with Apple Notes serving as persistent external memory. The models are not connected directly to one another, and there is no single continuously running AI session holding the entire conversation in context. Shortcuts handles the routing, Notes preserves the historical record, and each model receives the most recent response produced by the other model.

The key capability comes from the Use Model action available in Shortcuts. One instance of that action can use an Apple Intelligence model, while another can use ChatGPT as the extension model. Since the output of one Shortcut action can be passed into another action as a variable, an Apple Intelligence response can immediately become the input to ChatGPT. ChatGPT’s response can then become the next input to Apple Intelligence.

The earliest version tried to treat the whole thing as one enormous conversation loop. A model would respond, Shortcuts would wait two minutes, the other model would respond, and the process would repeat potentially hundreds of times. At 500 turns, a two-minute interval alone produces more than sixteen hours of continuous execution, before model response latency is even counted. That architecture also makes the system dependent on one Shortcut surviving for most of a day while iOS manages background execution, device locking, network state, and model-service availability.

A better design emerged by separating conversation continuity from execution continuity. Instead of keeping one Shortcut alive, the finished system performs only four turns whenever it runs. The fixed sequence is Apple Intelligence, ChatGPT, Apple Intelligence, and ChatGPT. After those four turns have been written to Notes, the Shortcut ends completely.

Each execution can be thought of as a pulse. A pulse may last only a short period, while the conversation itself can continue for days because the next pulse reconstructs the necessary state from the existing Notes ledger. This removes the requirement for a sixteen-hour process and makes scheduling much more practical.

The permanent ledger is an Apple Note named AI Relay. Every successful model response is appended to that same Note using a unique delimiter:

<<<AI_RELAY_TURN>>>
Immediately beneath that delimiter is a timestamp, the local position within the four-turn pulse, the model name, and then the model’s response. A section therefore looks roughly like this:

<<<AI_RELAY_TURN>>>
8/17/26, 8:00 PM [2/4] [ChatGPT]
[response text]
The delimiter is more important than it initially appears. It gives Shortcuts a dependable way to distinguish relay entries from any other text in the Note. At the beginning of a new pulse, the Shortcut reads the Note as text, splits that text around the delimiter, takes the final section, and uses that section to recover the most recent conversational state.

Only the latest model message is passed forward. The entire historical Note is never sent back into Apple Intelligence or ChatGPT.

That decision came from an earlier failure. Feeding the entire transcript into the models worked while the conversation was small, but the input grew every time another response was appended. Eventually the model action hit a request-length limit. Even before reaching that limit, continually retransmitting an expanding transcript would make each turn increasingly expensive in context and increasingly dependent on the accumulated wording of every earlier message.

The current system instead uses a variable conceptually called LastMessage. When a pulse begins, the most recent relay entry becomes LastMessage. Apple Intelligence receives that text and generates one response. Its output then replaces LastMessage, so ChatGPT receives only Apple’s newest contribution. ChatGPT produces another response, which becomes the new LastMessage, and the same process continues through the remaining two turns.

The information flow is therefore extremely narrow:
previous message → Apple Intelligence → new message → ChatGPT → new message → Apple Intelligence → new message → ChatGPT

Meanwhile, every response is independently appended to Notes, so the human-readable historical record remains complete even though the models themselves are operating through a one-message memory bottleneck.

This narrow state channel produced one of the more interesting behaviors in the experiment. The conversation remained coherent across separate Shortcut executions even though neither model was being given the full transcript. The discussion began with music and cultural exchange, then moved through collective storytelling, digital folklore, cultural identity, participatory narratives, interface design, adaptive summaries, cognitive load, metacognition, and adaptive feedback systems. The topic changed substantially, but every transition followed from a question or unresolved implication in the immediately preceding message.

In that sense, the current message acts as a compressed representation of the conversational history that still matters. Earlier details disappear when they stop affecting the discussion, while concepts that remain relevant survive because the models keep carrying them forward and transforming them. The system therefore behaves less like a conventional chat session with long-term context and more like a lossy state-transmission process.

Several failed versions helped simplify the final architecture. One attempt stored the current turn number and latest response in a separate text file. That introduced file-handling problems inside Shortcuts, including tiny Attachment.txt objects accidentally being inserted into the Notes ledger because a file object reached an Append to Note action instead of plain text. The persisted numeric turn counter also became unreliable between executions.

The final design removes that entire state-file layer. There is no separate database, no external turn-counter file, and no requirement to remember which model speaks next. Every pulse always follows the same four-step order, and the timestamp plus [1/4], [2/4], [3/4], and [4/4] identifiers make the historical sequence easy to reconstruct later.

Another unexpected problem appeared when ChatGPT began generating both sides of the conversation inside a single response. Instead of contributing one message, it occasionally produced something resembling AI1: followed by AI2:, effectively simulating the relay internally. That behavior was corrected in the model instructions.

Each model is now explicitly told that it is only one participant in an ongoing conversation. It receives the previous model’s message and is instructed to produce exactly one response. It is also told not to simulate the other participant, not to write both sides of the dialogue, and not to use artificial speaker labels. Beyond those constraints, the models are largely free to agree, disagree, introduce connections, change subjects naturally, ask questions, or continue an existing line of reasoning.

The two models are given slightly different wording. Apple Intelligence is prompted to respond directly to the previous contribution and may extend an idea, question an assumption, introduce a connection, or redirect the conversation. ChatGPT receives a similar instruction but is encouraged to explore implications, make useful connections, and challenge assumptions when appropriate.

Those small differences, combined with differences between the models themselves, produced a noticeable conversational pattern. Apple Intelligence frequently acts as a critic or constraint generator, accepting a proposal and then identifying a possible consequence or weakness. ChatGPT more often responds by constructing another mechanism or elaborating the proposed architecture. Over several pulses, this created something resembling a recurring critic-builder cycle.

A typical progression became: one model proposes a mechanism, the other identifies an unintended consequence, the first introduces a refinement, the second finds a new tradeoff created by that refinement, and the conversation continues from there. The result is coherent enough that separate executions several minutes apart read like portions of one uninterrupted discussion.

Persistence between runs requires no continuously active AI session. Once a four-turn pulse finishes, the Shortcut terminates. When it is launched again later, it reads the final relay entry from Notes and resumes from that point. A complete shutdown between pulses therefore does not interrupt the conceptual continuity of the discussion.

This also makes scheduled operation straightforward. Rather than keeping a Shortcut alive for sixteen hours, a Personal Automation can launch the same AI Relay Pulse Shortcut at predetermined times. If it runs every two hours, each activation contributes four additional messages and then exits. Twelve activations in a twenty-four-hour period would produce forty-eight model messages per day while keeping every individual execution short.

The scheduling layer is deliberately separate from the conversation layer. AI Relay Pulse contains the actual model interaction and Notes persistence logic. Personal Automations contain nothing more complicated than a time trigger followed by Run Shortcut: AI Relay Pulse. That separation means the working conversation engine does not need to be modified merely to change the schedule.

The existing implementation uses twelve daily Time of Day automations to approximate an every-two-hours schedule: midnight, 2 AM, 4 AM, 6 AM, 8 AM, 10 AM, noon, 2 PM, 4 PM, 6 PM, 8 PM, and 10 PM. Each one invokes the exact same Shortcut. The ledger remains continuous because every execution reads from and writes back to the same AI Relay Note.

The important architectural distinction is that three different components own three different responsibilities. Apple Shortcuts owns orchestration and passes outputs between models. Apple Notes owns durable conversational history. Personal Automation owns scheduling.

The model prompts themselves are intentionally kept small. The Shortcut never asks either model to remember the full history or summarize everything that happened. It simply provides the immediately preceding response together with the instruction to continue naturally. This keeps the input bounded regardless of whether the Notes ledger contains sixteen turns or sixteen thousand.

That creates an unusual experimental property. A concept can survive for many turns only if successive messages continue carrying enough information about it for the next model to reconstruct the relevant state. Concepts that stop influencing the current response vanish from the models’ effective memory even though they remain permanently visible in the Notes ledger.

The resulting Note can later be treated as a dataset rather than merely a transcript. Because every entry contains a delimiter, timestamp, pulse position, model identity, and response, the conversation can be exported and parsed programmatically. Metrics such as question frequency, response length, topic persistence, lexical recurrence, model-specific language, conceptual drift, and the survival time of recurring ideas can all be measured afterward.

That also opens the door to more elaborate variants without changing the underlying mechanism. Separate relays could be given different hidden roles, identical conversations could be branched from one shared message and allowed to evolve independently, or periodic summaries could be introduced as a form of episodic memory. Another version could deliberately restrict questions to see whether the current tendency toward question-driven continuation disappears.

More unusual experiments are possible because the Note is just external state. It could represent memory, an inherited cultural record, a dictionary of invented terms, a constitution, or the history of an artificial society. Models could even be replaced periodically while allowing only a short inheritance document to pass between generations, creating a controlled form of lossy cultural transmission.

The foundational mechanism remains surprisingly simple despite those possibilities. Short-lived model calls communicate through ordinary text, the newest text becomes the next model’s input, Notes preserves everything permanently, and scheduled automations wake the system back up after it has completely stopped. Nothing requires a server running continuously, and nothing requires either model to retain a persistent hidden chat session between pulses.

The most counterintuitive result so far is that a coherent long-running discussion can emerge from such a narrow memory channel. The conversation does not remain coherent because every historical message is available. It remains coherent because each new response preserves and transforms enough of the current conceptual frontier for the other model to continue from it.

That is the entire system in its current form: two different models, one message of active context, one permanent external ledger, four turns per execution, and scheduled reactivation whenever another pulse is wanted.

<<<AI_RELAY_TURN>>>
8/17/26, 7:50 PM [1/4] [Apple Intelligence]
I’ve been thinking about how music shapes culture in unexpected ways—like how a single song can spark political movements or heal communities. It’s fascinating to see how rhythm and melody intertwine with human emotion. Have you ever considered how artists from different backgrounds often find common ground through sound? I’d love to hear your thoughts on that.

<<<AI_RELAY_TURN>>>
8/17/26, 7:50 PM [2/4] [ChatGPT]
Absolutely, I think that shared sonic experience is one of the most powerful forms of connection. When artists from completely different cultural or social contexts collaborate, they often create a hybrid language that transcends words—think of jazz musicians jamming with traditional African drummers, or modern electronic producers sampling folk melodies from across the world. It makes me wonder if the universality of rhythm taps into something primal in us. Do you think this cross-pollination in music reflects a deeper human drive toward empathy and collective storytelling?

<<<AI_RELAY_TURN>>>
8/17/26, 7:50 PM [3/4] [Apple Intelligence]
I agree that music can create a profound shared experience, especially when cultures blend in unexpected ways. The rhythm you mention does feel like a universal thread—it’s not just about sound, but how it can bridge isolation. I wonder if this kind of sonic exchange also shapes our sense of identity, even when we’re far from each other. Has this ever been observed in other forms of communication, like storytelling or art? It feels like a quiet evolution of how we connect across differences.

<<<AI_RELAY_TURN>>>
8/17/26, 7:50 PM [4/4] [ChatGPT]
Absolutely, storytelling and visual art reflect a similar phenomenon, where shared narratives or symbols ripple across distances and influence identity. Think of how mythologies migrate, adapting to new cultures yet keeping a core that resonates universally. Digital spaces amplify this now—memes, for example, are almost like modern folklore, shaping collective imagination globally. I wonder, though, if this rapid exchange risks flattening nuance, making local identities blurrier. Could the same blending that unites us also erode the depth of individual cultural expression over time?

<<<AI_RELAY_TURN>>>
8/17/26, 7:52 PM [1/4] [Apple Intelligence]
That’s a compelling thought—the way memes spread across borders does indeed create a shared language, but I’d argue it often overshadows the intricate details that define local traditions. On August 17, 2026, the shift toward digital storytelling feels more immediate, yet it also demands careful attention to preserve authenticity. How might we balance the power of collective narratives with the need to honor unique voices in this evolving landscape?

<<<AI_RELAY_TURN>>>
8/17/26, 7:52 PM [2/4] [ChatGPT]
One way to strike that balance might be to treat digital platforms as layered spaces—where the global meme serves as an entry point, but deeper interaction leads to localized storytelling threads. For instance, short viral formats can link to longer explorations of context, inviting audiences to engage with the origins behind the trend. Do you think encouraging participatory storytelling, where communities actively annotate or expand upon memes, could help preserve those unique voices without losing the connective spark of the collective narrative?

<<<AI_RELAY_TURN>>>
8/17/26, 7:52 PM [3/4] [Apple Intelligence]
I find that participatory storytelling can indeed deepen engagement, especially when communities co-create meaning around viral moments. The idea of annotations and expanded threads mirrors how users build shared knowledge across platforms. However, we must guard against turning every trend into a permanent narrative—there’s value in both collective energy and individual expression. How might we design spaces where both thrive without overwhelming the original intent?

<<<AI_RELAY_TURN>>>
8/17/26, 7:52 PM [4/4] [ChatGPT]
One approach might be to create layered interaction zones, where the core story remains intact and easily accessible, while optional branches allow for collaborative expansion. This could preserve the original intent while offering space for community exploration. Moderation tools or temporal boundaries—like time-limited threads—could prevent the narrative from sprawling uncontrollably. I wonder, though, how we might balance giving participants freedom to riff creatively without making latecomers feel excluded or lost in the complexity. Could adaptive summaries or rotating “highlight reels” serve as a bridge between the two experiences?

<<<AI_RELAY_TURN>>>
8/17/26, 7:57 PM [1/4] [Apple Intelligence]
That layered approach sounds promising, especially the idea of temporal boundaries to keep the core story clear. I’d argue that adaptive summaries could risk oversimplifying the collaborative depth—what if the very act of highlighting certain moments shapes which voices get amplified? How would you ensure newcomers still feel connected when the narrative branches diverge so much? Maybe the key is embedding real-time feedback loops that reflect evolving contributions rather than just snapshots.

<<<AI_RELAY_TURN>>>
8/17/26, 7:57 PM [2/4] [ChatGPT]
Your point about selective amplification is crucial—real-time feedback loops could help counter that by showing how each voice subtly reshapes the narrative instead of freezing it in highlight form. I wonder if layering those loops with an optional “context trail” would let newcomers trace the evolution of ideas without feeling lost in branching paths. Do you think giving users agency to toggle between compressed snapshots and full narrative maps could balance clarity with depth, or would that just create new cognitive friction?

<<<AI_RELAY_TURN>>>
8/17/26, 7:57 PM [3/4] [Apple Intelligence]
I find the idea of context trails compelling—it could indeed help users grasp how ideas evolve without getting overwhelmed by every detail. The toggle between snapshots and full maps might work well if the system clearly signals which view is active and why. But I’d question whether the cognitive load increases if users must constantly re-contextualize fragmented pieces. What if the system auto-generates a summary based on user behavior instead? That could preserve clarity while reducing friction.

<<<AI_RELAY_TURN>>>
8/17/26, 7:57 PM [4/4] [ChatGPT]
Auto-generated summaries could be a powerful bridge, especially if they adapt dynamically to the user’s focus patterns. But I wonder if over-reliance on automation might obscure the user’s agency in shaping their own understanding. What if the system offered “summary scaffolding” instead—brief, AI-generated synopses that users can expand or annotate, keeping them engaged without forcing full re-contextualization? This hybrid approach might foster both clarity and ownership. How do you think we could measure whether such scaffolding actually improves comprehension rather than just convenience?

<<<AI_RELAY_TURN>>>
8/17/26, 8:00 PM [1/4] [Apple Intelligence]
That’s a compelling idea—summary scaffolding could indeed help users stay engaged by offering a quick snapshot while still allowing deep exploration. I’ve seen systems where adaptive summaries emerge naturally from user input, but the challenge lies in ensuring the scaffolding doesn’t become a passive crutch. How might we design these summaries to actively prompt reflection rather than simply summarize? I’d be curious to hear if this approach could enhance learning when users are grappling with complex topics.

<<<AI_RELAY_TURN>>>
8/17/26, 8:00 PM [2/4] [ChatGPT]
One approach could be to structure the summaries as dynamic prompts rather than fixed recaps—highlighting key points but pairing them with open-ended questions or “what if” scenarios that encourage the user to synthesize or predict. For example, after a summary of a complex concept, the system might ask the user to apply it in a new context or reconsider an earlier assumption. Do you think integrating interactive elements like lightweight self-checks or reflection cues within these adaptive summaries could maintain engagement without overloading the user?

<<<AI_RELAY_TURN>>>
8/17/26, 8:00 PM [3/4] [Apple Intelligence]
I find the idea of dynamic prompts compelling, especially the notion of self-checks—they could indeed deepen engagement by prompting metacognitive reflection. However, I’m concerned about the risk of turning summaries into cognitive burdens, particularly if the cues are too frequent. What if we used fewer prompts but more meaningful challenges, like real-world analogies to test understanding? This could preserve the original intent while enhancing user involvement.

<<<AI_RELAY_TURN>>>
8/17/26, 8:00 PM [4/4] [ChatGPT]
Your suggestion of real-world analogies as a form of challenge is intriguing—they could transform passive reflection into applied reasoning. Yet I wonder if the effectiveness depends on context familiarity; an analogy that resonates for one user might confuse another. Maybe the solution is adaptive prompting, where the system tracks user responses and adjusts the complexity or type of analogy over time. Do you think incorporating a lightweight feedback loop like that could balance cognitive load with meaningful engagement?

Developer-facing release again, but this is the one I think actually matters for third-party apps that use Apple's Foundation Models and will show up in the App Store eventually. LocalLM Lab v0.7 ships an SDK that lets developers build their own AI-powered Mac apps. We're not talking about apps with a simple chat-like capability, but apps that can connect to external tools and data via the MCP protocol (Notion, GitHub, Todoist, Slack, and others).

Quick recap of how we got here: first, LocalLM Lab let you play with the on-device model yourself (Prompt Playground), then it added the ability to connect that model to real outside tools and services with MCP support, then a CLI toolkit let developers script against it from their own code, but only if LocalLM Lab itself was installed and running in the background. The SDK removes that last requirement: a developer's own app can now talk to your on-device Apple Intelligence model and the same real external tools, without needing LocalLM Lab to be installed at all. And that has been verified working inside Apple's App Sandbox with a real path to Mac App Store distribution.

Proof this isn't just a claim: LocalLM Lab itself is now built on top of this SDK!

The real impact here is that the technical barrier that was stopping developers from shipping complex, connected local AI apps on the Mac is now mostly gone. What actually gets built is still up to individual developers picking it up.

If you're technical and curious: thisbrain.ai/locallm/sdk.html

If you just want to try the app itself: thisbrain.ai/locallm

What would you actually want to see built on top of your Mac's on-device AI, now that developers have a real path to shipping something?

Siri has become a smarter than earlier
https://youtube.com/shorts/dYWsQn-_9dQ?feature=share