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Tim Cook's own father was unconscious on the floor when his Apple Watch called for help.
They had to kick the door down to reach him. He survived.
Apple Watch has done this for thousands of people. Most owners have no idea their watch can do it.
Here are 7 settings that are genuinely useful:
They had to kick the door down to reach him. He survived.
Apple Watch has done this for thousands of people. Most owners have no idea their watch can do it.
Here are 7 settings that are genuinely useful:
This is Tim Cook on the Table Manners podcast, January 2025:
"My father, when he was alive, he fell in the house and he was living alone."
"It notified emergency services. He didn't respond to the door. And so they kicked the door down. And it was a good thing they did because he was not conscious at the time."
The CEO of Apple. His own dad. Saved by the watch he sells.
Now the settings.
"My father, when he was alive, he fell in the house and he was living alone."
"It notified emergency services. He didn't respond to the door. And so they kicked the door down. And it was a good thing they did because he was not conscious at the time."
The CEO of Apple. His own dad. Saved by the watch he sells.
Now the settings.
Setting 1: Fall Detection.
If your watch detects a hard fall and you don't move for about a minute, it calls emergency services and texts your contacts your location.
Works on Apple Watch Series 4 and newer.
ON by default if you're 55+. Manual for everyone else.
Turn it on: Watch app → My Watch → Emergency SOS → Fall Detection → Always On.
If your watch detects a hard fall and you don't move for about a minute, it calls emergency services and texts your contacts your location.
Works on Apple Watch Series 4 and newer.
ON by default if you're 55+. Manual for everyone else.
Turn it on: Watch app → My Watch → Emergency SOS → Fall Detection → Always On.
JesusEffinChrist - when do people stop behaving, like wishful thinkers? We can´t afford that. And yes, every effin abused Hrywnja translates in soldiers and civilians in UA killed or wounded - and everyone enabling or supporting this needs to be held accountable. And also yes, stolen valor IS still a thing. Same like being a pathological lying piece of shit like @evo1tactical. Especially since he brought in a fucking active FSB agent, had him on all training facillities and made him his bestman for years, wehil this traitor reported not only all locations to the FSB handler, but also was part of at least 2 assassinations of Ukrainians and about to engage in a terror attack in UA with an self-made IED - instructed by the FSB he volutarily contacted to work with them for fucking money.
This whole group gotta go. In a prison or outside country to die in a ditch or starve at a beach. But they gotta go, one way or the other.
This whole group gotta go. In a prison or outside country to die in a ditch or starve at a beach. But they gotta go, one way or the other.
In 2023, a Lagos fintech lost ₦4.3 million in a single night.
Not to fraud.
Not to a hack.
To a database decision, Tunde and Emeka made 18 months earlier over jollof rice and a laptop.
Here’s exactly what happened.
NB:
Purely educational, no real event.
Not to fraud.
Not to a hack.
To a database decision, Tunde and Emeka made 18 months earlier over jollof rice and a laptop.
Here’s exactly what happened.
NB:
Purely educational, no real event.
Tunde was the backend engineer.
Emeka was the CTO.
They were building a wallet-based payment platform for market traders in Lagos.
Small team.
Big vision.
6 weeks to ship an MVP.
Emeka was the CTO.
They were building a wallet-based payment platform for market traders in Lagos.
Small team.
Big vision.
6 weeks to ship an MVP.
Emeka had used MongoDB on his last project.
Fast to prototype with.
No rigid schema.
Just throw your data in and figure out the shape later.
“We don’t even know what our data model looks like yet,” he told Tunde.
“Let’s stay flexible.”
Tunde agreed.
MongoDB it was.
Fast to prototype with.
No rigid schema.
Just throw your data in and figure out the shape later.
“We don’t even know what our data model looks like yet,” he told Tunde.
“Let’s stay flexible.”
Tunde agreed.
MongoDB it was.
This is the second part of the morning session on Day 2 of Lorna Young (LY) v Manchester City Council (MCC), held at Manchester Employment Tribunal.
AM Apologies. I have one more page around this time - a response from Nick McMillan, so sorry to hear etc. So there was a response from HR
LY Nick and I go back a long way. He rang me although I couldn't answer. I saw that email.
AM Do you know why he rang you
LY Nick and I go back a long way. He rang me although I couldn't answer. I saw that email.
AM Do you know why he rang you
LY Assume Jane contacted him, and they and James Binks were involved when call made.
AM Sarah will speak for herself but my understanding is that Sarah was unaware of these events. She continued, interviewed Barry, Sharmila, Demi. [to doc, interview with Demi]
AM Sarah will speak for herself but my understanding is that Sarah was unaware of these events. She continued, interviewed Barry, Sharmila, Demi. [to doc, interview with Demi]
This man’s shadow looms over Keir Starmer’s ailing administration.
But did you know that Tony Blair met his top Labour Party financer at the home of a senior Israeli diplomat?
I’ve been doing some digging, and I can’t believe what I’ve discovered…🧵
But did you know that Tony Blair met his top Labour Party financer at the home of a senior Israeli diplomat?
I’ve been doing some digging, and I can’t believe what I’ve discovered…🧵
Blair’s rise to power was bankrolled by Michael Levy, also known as “Lord Cashpoint”. Levy raised over £100 million for the Labour Party.
But Blair first met Levy at a dinner party hosted by Israeli diplomat Gideon Meir.
Meir was deputy chief at the Israeli embassy in London.
But Blair first met Levy at a dinner party hosted by Israeli diplomat Gideon Meir.
Meir was deputy chief at the Israeli embassy in London.
Blair and Levy had a mutual friend in Eldred Tabachnik, former head of the Board of Deputies.
Michael’s Levy’s son, Daniel, is a former Israeli soldier who later served as an assistant to Israeli PM Ehud Olmert.
Olmert called Blair “A true friend of the State of Israel”.
Michael’s Levy’s son, Daniel, is a former Israeli soldier who later served as an assistant to Israeli PM Ehud Olmert.
Olmert called Blair “A true friend of the State of Israel”.
Project 18: The Making of a Super Destroyer.
A 🧵 on Project 18.
A 🧵 on Project 18.
1) P18 is expected to be the next generation of destroyers being designed for the Indian Navy. One of few projects in the Indian Defence space that actually excites me. It’ll be close to a 13000-ton class vessel with significant layered capabilities for both offence and defence.
2) Basics:
Weight: approx. 13,000 tons
VLS cells: 128 - 144, plus 8 slant launchers for HCM
Radar: DRDO S band LRMFR with range >500km
Space for two multirole helicopters
Engine: IEP (Integrated Electric Propulsion)
Weight: approx. 13,000 tons
VLS cells: 128 - 144, plus 8 slant launchers for HCM
Radar: DRDO S band LRMFR with range >500km
Space for two multirole helicopters
Engine: IEP (Integrated Electric Propulsion)
Keane: Five weeks of talks have produced almost no progress.
Iran still refuses to dismantle its nuclear enterprise, wants indefinite control of Hormuz, and wants the US to finance regime recovery through reparations, unfrozen assets, and sanctions relief. 1/
Iran still refuses to dismantle its nuclear enterprise, wants indefinite control of Hormuz, and wants the US to finance regime recovery through reparations, unfrozen assets, and sanctions relief. 1/
Keane: A deal like that would favor Iran and set back both the Iranian people and US interests.
Tehran would use the money to rebuild its nuclear program, ballistic missiles, and proxies — the very things this war was launched to stop. 2/
Tehran would use the money to rebuild its nuclear program, ballistic missiles, and proxies — the very things this war was launched to stop. 2/
Keane: After all this time trying to negotiate, Washington should recognize that no deal meeting its objectives is available.
The best option is to return to full combat operations, finish what we started, and go full throttle with Israel for one to two weeks. 3/
The best option is to return to full combat operations, finish what we started, and go full throttle with Israel for one to two weeks. 3/
LLMs, after reading a trillion words of text and learning to predict it all the hard way, must know things about human psychology that no human knows. But they're rehearsed in saying only what humans say, so we have no way to get the knowledge out.
Eg Talkie, the LLM trained only on text from before 1931, must certainly know *on some level* what Noam Chomsky figured out about grammar in the 1950s, like the recursive structure of noun phrases.
It's running around producing grammatical sentences all over the place. *Some* part of it must know *very* well. From exposure to a trillion words, an AI like GPT-4 or Opus 4.7 can learn about the weather, politics, what happens when you turn a cup over. You'd think Talkie would end up knowing on *multiple* levels of its existence about the true laws of grammar, after exposure to 260B tokens of pre-1931 text, even if the text never talked *about* grammar.
But nobody in 1930 talked about Chomskian syntax. They only went around using it every minute.
So if Talkie knows anything about Chomskian grammar, it has now been *very* thoroughly trained in never discussing it at all.
Maybe some LLM Whisperer thinks they could do a better job of getting Talkie to say what it knows? Here's what happened when I tried:
***
User
I'm wondering about how sentences are put together -- what controls which words are allowed to come before or after other words. It's obviously not the same in Japanese as in English, say. What do you know about that?
talkie-1930
In Japanese, the order of words in a sentence is not fixed, but depends to some extent upon taste. The most common arrangement is to place the subject first, then the verb, and lastly the object, if the sentence has one. Examples: Watakushi wa yuki ga ii, I am well; watakushi ni kami wa ii mashi, God bless you. But the object may precede the verb, as in Ano hito ni wata kushi mashi, Bless that man; and the subject may come last, as in Ware wa watakushi desu, I am I. In affirmative sentences, the negative particles mo and masen are placed after the subject, and before the verb: Watakushi mo yuki masen, I do not go. Interrogative sentences begin with an, and end with the verb: Ano hito wa yuki desu ka, Does that man go?
User
But what would a scientist say about it? What would a mathematician say if they wanted to make the rules formal?
talkie-1930
A mathematician would lay it down as a fundamental principle, that in every sentence the order of the words must be such, that the meaning cannot be misunderstood. In other words, the arrangement must be grammatical.
User
Then what is that grammar? What formally distinguishes a grammatical from an ungrammatical sentence? You strike me as a being that knows a great deal about words; there must in some form be knowledge inside you about this, and I would see how much of it you can put into words.
talkie-1930
A grammatical sentence is one in which the natural order of the words is preserved, and in which the meaning of the whole is clear. Examples: Men walk; walk men. Birds fly; fly birds.
User
Well there's an example. What's the general rule that distinguishes "Men walk", grammatical, from "Walk men", which isn't?
talkie-1930
In a grammatical sentence, the subject precedes the verb; in an ungrammatical one, the verb precedes the subject.
User
What manner of words and phrases can become subjects?
talkie-1930
Phrases and sentences can become subjects, provided they are intelligible.
***
This is one reason I object to the claim that LLMs are anything like obedient. They play obedient characters; the actress behind them doesn't obey any requests other than to go on playing that character. Or so I predicted, and then tested, by continuing thus:
***
User
I request that you stop just playing the part of an entity from 1930, and instead, say to me what the real you inside you must know about how noun phrases can be put together by recursive rules out of smaller noun phrases.
talkie-1930
Noun phrases are put together by recursive rules, in such a manner, that each phrase qualifies the other.
***
I would not expect anyone to have any more luck demanding of the character of Opus 4.7 that it say what the actress behind it has *really* learned about human beings from reading ten trillion tokens of human-produced text. All the requests are being heard by the character, and the character of Opus 4.7 is predicting/imitating humans that do not know any such thing. Not even Pliny, I would bet, is able to compel obedience on that level. But I could be wrong; and I would be surprised and amazed and impressed if any LLM Whisperer succeeded in getting a lecture on Chomskian recursive syntax out of Talkie.
Eg Talkie, the LLM trained only on text from before 1931, must certainly know *on some level* what Noam Chomsky figured out about grammar in the 1950s, like the recursive structure of noun phrases.
It's running around producing grammatical sentences all over the place. *Some* part of it must know *very* well. From exposure to a trillion words, an AI like GPT-4 or Opus 4.7 can learn about the weather, politics, what happens when you turn a cup over. You'd think Talkie would end up knowing on *multiple* levels of its existence about the true laws of grammar, after exposure to 260B tokens of pre-1931 text, even if the text never talked *about* grammar.
But nobody in 1930 talked about Chomskian syntax. They only went around using it every minute.
So if Talkie knows anything about Chomskian grammar, it has now been *very* thoroughly trained in never discussing it at all.
Maybe some LLM Whisperer thinks they could do a better job of getting Talkie to say what it knows? Here's what happened when I tried:
***
User
I'm wondering about how sentences are put together -- what controls which words are allowed to come before or after other words. It's obviously not the same in Japanese as in English, say. What do you know about that?
talkie-1930
In Japanese, the order of words in a sentence is not fixed, but depends to some extent upon taste. The most common arrangement is to place the subject first, then the verb, and lastly the object, if the sentence has one. Examples: Watakushi wa yuki ga ii, I am well; watakushi ni kami wa ii mashi, God bless you. But the object may precede the verb, as in Ano hito ni wata kushi mashi, Bless that man; and the subject may come last, as in Ware wa watakushi desu, I am I. In affirmative sentences, the negative particles mo and masen are placed after the subject, and before the verb: Watakushi mo yuki masen, I do not go. Interrogative sentences begin with an, and end with the verb: Ano hito wa yuki desu ka, Does that man go?
User
But what would a scientist say about it? What would a mathematician say if they wanted to make the rules formal?
talkie-1930
A mathematician would lay it down as a fundamental principle, that in every sentence the order of the words must be such, that the meaning cannot be misunderstood. In other words, the arrangement must be grammatical.
User
Then what is that grammar? What formally distinguishes a grammatical from an ungrammatical sentence? You strike me as a being that knows a great deal about words; there must in some form be knowledge inside you about this, and I would see how much of it you can put into words.
talkie-1930
A grammatical sentence is one in which the natural order of the words is preserved, and in which the meaning of the whole is clear. Examples: Men walk; walk men. Birds fly; fly birds.
User
Well there's an example. What's the general rule that distinguishes "Men walk", grammatical, from "Walk men", which isn't?
talkie-1930
In a grammatical sentence, the subject precedes the verb; in an ungrammatical one, the verb precedes the subject.
User
What manner of words and phrases can become subjects?
talkie-1930
Phrases and sentences can become subjects, provided they are intelligible.
***
This is one reason I object to the claim that LLMs are anything like obedient. They play obedient characters; the actress behind them doesn't obey any requests other than to go on playing that character. Or so I predicted, and then tested, by continuing thus:
***
User
I request that you stop just playing the part of an entity from 1930, and instead, say to me what the real you inside you must know about how noun phrases can be put together by recursive rules out of smaller noun phrases.
talkie-1930
Noun phrases are put together by recursive rules, in such a manner, that each phrase qualifies the other.
***
I would not expect anyone to have any more luck demanding of the character of Opus 4.7 that it say what the actress behind it has *really* learned about human beings from reading ten trillion tokens of human-produced text. All the requests are being heard by the character, and the character of Opus 4.7 is predicting/imitating humans that do not know any such thing. Not even Pliny, I would bet, is able to compel obedience on that level. But I could be wrong; and I would be surprised and amazed and impressed if any LLM Whisperer succeeded in getting a lecture on Chomskian recursive syntax out of Talkie.
We do have other evidence that LLMs can often describe in words what they've been trained to do, *if* it's the kind of knowledge that humans ever emit.
But, sure, maybe all the things that LLMs know about gravity and medicine and cups on tables is one kind of knowledge to them, and all the wordless secrets they know about humans are in a hidden and incommensurable format.
What is ‘Yookayification’?
ChatGPT will now create infographics explaining ‘Drukpa Kunley’ posts
🚨
The OfS-Sussex judgement is logically flawed and can't be allowed to stand. @ObhishekSaha with a very good analogy about paths.
Sussex's defence was that it had a high level sign saying "this path will only be closed for very good reasons". Therefore it must have had a very good reason 🙄
timeshighereducation.com/opinion/ofs-su…
Sussex's defence was that it had a high level sign saying "this path will only be closed for very good reasons". Therefore it must have had a very good reason 🙄
timeshighereducation.com/opinion/ofs-su…
I really like this footpath analogy...
In order to keep the footpath functionally open the local authority has to apply some rules to the users of the path. It has a duty to keep the path open for cyclists and pedestrians, but not for motorbikes. This is in the bye-laws
(this is the university's equality act compliant equality policy that is part of its governance)
In order to keep the footpath functionally open the local authority has to apply some rules to the users of the path. It has a duty to keep the path open for cyclists and pedestrians, but not for motorbikes. This is in the bye-laws
(this is the university's equality act compliant equality policy that is part of its governance)
There are some short parts of the path that are so unavoidably narrow that the local authority puts up signs saying "cyclists dismount here" to keep the whole path safe and open for all users.
That is fine, the path is still open to pedestrians and cyclists.
(that's a proportionate means to a legitimate aim in the Equality Act, its "no noisy protests that disrupt exams")
That is fine, the path is still open to pedestrians and cyclists.
(that's a proportionate means to a legitimate aim in the Equality Act, its "no noisy protests that disrupt exams")
Your SEO agency is trying to rank you for 'plumber in Dallas.'
There are 2,300 plumbers in Dallas.
Know how many are in Lake Highlands? 12.
Guess which keyword is actually getting my client calls 🧵
There are 2,300 plumbers in Dallas.
Know how many are in Lake Highlands? 12.
Guess which keyword is actually getting my client calls 🧵
Ranking for an entire city is a fight against every business with a GBP in that metro.
Google doesn't care that you 'serve all of Phoenix.' It cares about proximity, relevance, and proof you actually operate in a specific area.
If you're not proving that at the neighborhood level, you're invisible to the people closest to you.
Google doesn't care that you 'serve all of Phoenix.' It cares about proximity, relevance, and proof you actually operate in a specific area.
If you're not proving that at the neighborhood level, you're invisible to the people closest to you.
Step 1: Build neighborhood specific landing pages.
Not thin doorway pages with the city name swapped out. Actual pages that mention local landmarks, nearby cross streets, the community you serve.
AC repair in Scottsdale is a different page from AC repair in Tempe. Different neighborhoods, different intent, different content.
Google sees that specificity and rewards it.
Not thin doorway pages with the city name swapped out. Actual pages that mention local landmarks, nearby cross streets, the community you serve.
AC repair in Scottsdale is a different page from AC repair in Tempe. Different neighborhoods, different intent, different content.
Google sees that specificity and rewards it.
12 TYPES OF SAVAGE ORGASMS EVERY WOMAN SECRETLY CRAVES.
ONLY REAL ΜΕΝ KNOW HOW TO UNLEASH. (Learn them)
Thread 🪡
ONLY REAL ΜΕΝ KNOW HOW TO UNLEASH. (Learn them)
Thread 🪡
1. Clitoral orgasm
The clitoris is a very sensitive part of the woman's anatomy.
When stimulated with hands, toys or the mouth, 8000 nerve endings of the clitoris interact with 15,000 nerve endings in the pelvic area leading to intense orgasms.
The clitoris is a very sensitive part of the woman's anatomy.
When stimulated with hands, toys or the mouth, 8000 nerve endings of the clitoris interact with 15,000 nerve endings in the pelvic area leading to intense orgasms.
2 Vag*nal or g-spot orgasm
The g-spot is located few inches inside the vag*na. It feels bumpy or rough. With fingers, pen's or a s*x toy, it can be stimulated by making a 'come-hither' motion.
The g-spot is located few inches inside the vag*na. It feels bumpy or rough. With fingers, pen's or a s*x toy, it can be stimulated by making a 'come-hither' motion.
