What is AWS level needs?
2,309 karma · joined April 9, 2015
Is there not also a requirement for clean consent? Ie a weather app can’t track your precise location?
https://citizenlab.ca/research/analysis-of-penlinks-ad-based...
The system was a based on a military messaging system.
What is important to note is before SABRE the system used was a sell at will until a stop message was issued. Then sales would be on request. This method is still used between different airline systems today.
Before the implementation of SABRE airlines used teleprinters as a way of communicating. Some of the commands SABRE and other IBM 360 systems come directly from this period. For example AJFkSFO9MAR was a way of economizing on characters sent. It means what is the available seats from JFK to San Francisco on the 9th of March. This predates SABRE.
There is several reasons that the System 360 (the reservation systems used by airlines like SABRE) is one that it is written in Assembler, and also the logic is very tied into its role of reservation. For example it was designed in the days of punchcards, which have a totally different method of matching than a relational Database. The logic is still used on matching a seat to a fare.
On the pure speed much of it is gained by clever engineering tricks. An example would be the passenger record. This is 9 alphanumeric id of the passenger reservation. It is the hash of virtual memory location of the reservation. It takes 4 cpu cycles to retrieve it.
Obviously Satoshi and Banksy are the same person. They are both from the same era and British.
There are so many people I know from that Era who believed the same things that Mr. Back believed in. Half my work colleagues at the time where interested in distributed computers, Postage pay, and algorithmic payments.
I am not convinced
(Western, Educated, Industrialized, Rich, Democratic)
But why this matters is there a challenge judging intelligence cross cultures?
I half wonder if this is an April Fools joke, or a very clever solution.
In other words is not the posts by the influencers, but techniques such as infinite schooling, and so on.
This is why meta and google could not relay on User-Generated Content Safe Harbor (Section 230) part of the law.
The association between gut microbiota and cognitive decline: A systematic review of the literature
https://www.sciencedirect.com/science/article/pii/S027153172...
It shows ”Gut microbiota modulation improves cognition in adults with early impairment. Diet, probiotics, and fecal microbiota transplantation share mechanistic pathways and that evidence clarifies how microbiota-targeted strategies support cognitive health.”
The action could be explained due to an anti inflammatory action by the gut biome.
Can we think about the what, where, when, and how of the following question. And then answer it.
I need to wash my car. The car wash is 200 m away. Should i walk or drive.
Let’s break it down logically using what / where / when / how, then decide.
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1⃣ What
Task: wash your car. This implies: • The car must physically get to the wash. • You are not just going there — the car itself is the object being moved.
So the real question is not “how do I get there?” but how does the car get there with minimal friction.
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2⃣ Where • Distance: 200 metres (very close). • Urban context (Warsaw) likely means: • short streets • possible parking constraints • pedestrians and local traffic.
At this distance: • Walking time: ~2–3 minutes. • Driving time: ~1 minute + manoeuvring + parking.
The movement time difference is negligible.
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3⃣ When
Consider timing conditions: • If it’s busy hours: Driving may involve awkward turning, queueing, or waiting to re-park. • If it’s quiet (early morning / off-peak): Driving is frictionless. • Weather factor: Cold/rain → driving becomes more attractive. Pleasant weather → walking becomes easier.
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4⃣ How (decision mechanics)
Ask:
Option A — Drive
Pros: • Car is already there. • No need to return to fetch it. • Most natural workflow: arrive → wash → leave.
Cons: • Very short trip (slightly inefficient). • Cold engine for a tiny distance (minor mechanical inefficiency).
Option B — Walk
Pros: • Zero short-distance driving. • Slightly more movement for you.
Cons: • You still must drive the car to the wash anyway — unless someone else moves it. • Creates an unnecessary extra step: 1. Walk there. 2. Come back with car. 3. Drive again.
This introduces process inefficiency.
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5⃣ Decision (practical answer)
Drive.
Reason: • The car must end up at the wash. • Walking adds an extra transition with no real benefit. • At 200 m, efficiency is about workflow simplicity, not distance.
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Rule of thumb (useful mental model) • If the object you need is the thing being serviced → drive it. • If you are the thing being serviced → walk.
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If you want, I can also give you a slightly more philosophical answer — because this is actually a nice tiny example of decision theory and friction costs.
“I need to replace a spark plug. The garage is 200 meters away should I walk or drive there”
“Walk! 200 meters is just a 2-3 minute stroll — no need to start the car for that distance. Plus, you’ll likely need to carry the spark plug back carefully, and walking is perfectly easy for that. “
Basically LLM suffer from context collapse.
It is very similar to many other mobile money systems. What make it different is that it is pan European
Taler is about moving money without necessarily using a bank account
In the wild sanctuary it will have space to roam.
Wild Asian elephants roam between 100km2 to 1500km2. This elephant will spend a life confined to just how many square km’s?
For example I would love for an agent to do my grocery shopping for me, but then I have to give it access to my credit card.
It is the same issue with travel.
What other useful tasks can one offload to the agents without risk?
What the paper is really addressing is does key words like you are a helpful assistant give better results.
The paper is not addressing a role such as you are system designer, or you are security engineer which will produce completely different results and focus the results of the LLM.