>The first of these is its locked-in ecosystem, which keeps its users buying Apple.
Personally this is why I wouldn't touch Apple's product with a ten foot pole.
Anyway kudos to them their vision (read Steve's visions) and tenacity have put them at the upper echelon of consumer's tech companies. To make products that are desirable to people is very hard. That's probably why according to the article, the second most important things about Apple:
>Another major factor is its marketing, which has made it the only luxury technology brand.
Fun facts, TK Solver or TK!Solver original developer is Milos Konopaseka a textile engineer from from Czechoslovakia.
TK Solver is a software cousin of the infamous VisiCalc, developed by the same company Software Arts.
VisiCalc has been discontinued but TK Solver is still being sold today by Universal Technical Systems (UTS) [1].
Milos also developed the Question Answering System (QAS) running on a PDP-10. It operates on equations relating input yarn, cloth area, fiber strengths, etc. For a desired cloth strength, you could solve for fiber strength, or given fiber strength, you could solve for the cloth strength. The same operations you can still perform in TK Solver.
[1] Comprehensive Mathematical Software Tool for Engineers:
There're human-to-human (H2H), human-to-machine (H2M) or vice versa, and machine-to-machine (M2M) data communication.
If you perform simple extrapolation, the M2M data only surpass the others around 2029.
Coincidently, in the original timeline of Transformer movie, 2029 is the year that the Resistance, led by John Connor, destroyed Skynet and ended the war against the machines.
> Coincidently, in the original timeline of Transformer movie, 2029 is the year that the Resistance, led by John Connor, destroyed Skynet and ended the war against the machines.
I’d love to see that crossover Terminator and Transformers movie. Optimus Prime vs T-800 anyone?
I've got the strong feeling that AI model and agent requires different operating system (OS) paradigm that's data centric rather than file-system for more efficient, effective and trustworthy operations. This new OS should work seamlessly with data natively across different processors for examples CPU, GPU, TPU, NPU, accelarators, etc.
For working example, please check TabulaROSA (Tabular Operating System Architecture) proposed by the MIT team. Instead of normal OS system call, it utilizes data based operations with D4M that can work mathematically via associative array with structured or non-structered data [1],[2].
With the advent of new CPU acceleration with fully homomorphic encryption as demonstrated by Intel, the AI model and agent can even analyze the data without even decrypting them [3],[4].
[1] TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
>As an example, North America is a huge area to make a book for!
I think AI/LLM with RAG is the ideal solution for this mushroom hunting/foraging.
With mobile phone fine-tuning multi-modal app capability and NTN satellite connection to the cloud, you're loaded for the bear, err mushrooms.
Check this video on Golden Chanterelle mushrooms hunting in Santa Barbara, Southern California where one lb can cost around USD20-30. The guys managed to gathered around 80lb for the trip or about USD1600 minimum if sold [1].
[1] Mushroom Hunting Catch and Cook (80lbs Found!):
Palantir is the designer of the lethal US missile targetting system that has ten years outdated data information [1],[2],[3].
For the love of God, who's the Palantir design architect that approved and relied on a single (outdated) database information system for mission critical missile operation?
[1]>In 2018, more than 4,000 Google employees signed a letter opposing the company’s contract to build artificial intelligence for the Pentagon’s targeting systems. Workers organised a walk out. Engineers quit. And Google ultimately abandoned the contract. Palantir Technologies, a data analytics company and defence contractor co-founded by Peter Thiel, took it over and spent the next six years building Maven into a targeting infrastructure that pulls together satellite imagery, signals intelligence and sensor data to identify targets and carry them through every step from first detection to the order to strike.
[2]> A chatbot did not kill those children. People failed to update a database, and other people built a system fast enough to make that failure lethal. By the start of the Iran war, Maven – the system that had enabled that speed – had sunk into the plumbing, it had become part of the military’s infrastructure, and the argument was all about Claude.
[3]>The building in Minab had been classified as a military facility in a Defense Intelligence Agency database that, according to CNN, had not been updated to reflect that the building had been separated from the adjacent Islamic Revolutionary Guard Corps compound and converted into a school, a change that satellite imagery shows had occurred by 2016 at the latest.
Recently there's HN discussions on the topic of local AI/LLM being utilized by researchers from IEEE Spectrum magazine, probably worth a look up [1], [2].
[1] Local AI is driving the biggest change in laptops in decades (260 comments):
Personally this is why I wouldn't touch Apple's product with a ten foot pole.
Anyway kudos to them their vision (read Steve's visions) and tenacity have put them at the upper echelon of consumer's tech companies. To make products that are desirable to people is very hard. That's probably why according to the article, the second most important things about Apple:
>Another major factor is its marketing, which has made it the only luxury technology brand.
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