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La LED est activé via le logiciel, donc un contournement est bien possible avec le matériel. "Dis Siri" fonctionne malgré que la LED soit éteinte.
Evergreen notes are written and organized to evolve, contribute, and accumulate over time, across projects.
The author has evergreen notes that they can use as sentence. They can be very short or becoming long. "Evergreen notes turn ideas into objects. By turning ideas into objects you can manipulate them, combine them, stack them. You don’t need to hold them all in your head at the same time."
There are 3 error or exception handling: unchecked exceptions (JS), Checked Exceptions (Go) or an integrated type (Result in Rust) that handle one case or the other.
Explicit is always better.
One thing with an integrated type, is the normal case and the other case. That's a great type to handle more than errors: a lookup of a key in a map, opening a file with a name for which there is no file is normal business. Maybe I will find more.
And for quality software, its function must be so blatantly obvious that everybody thinks: wow, this is trivial code, even a monkey could've programmed this.
A 2 part graph
On the left is a branched tree where the branches represent "life paths" where only one path is highlighted in green (the path you took) from root to tip (this is the past)
The right of the graph represents your future and you are at the base of a new branched tree where every pathway is green, representing the choices you have going forward.
the many ways AI is making humans less productive #1:
- I have to prove I am human when visiting website
- websites are generally slower because they need to check if my browser is an AI bot
- I spent time every week now, restarting services affected by AI scraping bots
And I am not even using AI
Technology is going just great:
- autonomous cars
- cryptocurrency
- mars colonization
- blockchain
- virtual reality in the office
Finalement laisser son périphérique branché avec la batterie tout le temps à 100%, c'est comme prendre une grande bouffée d'air et retenir sa respiration. C'est pas bon.
Est-ce que laisser sa batterie à 20-80% est toujours une bonne idée, puisque les BMS intègrent une logique dédiée.
La méthode est très risquée et finira par être détournée.
Personal opinion about why Nuxt is on Github:
codeberg is great! I love it.
but I think @github is a great home for us.
for me, the most important thing is community. I'm pragmatic about a lot of other things. while a fully open source stack is ideal, I'd rather have the people (+ network effects apply to code hosting too).
A scientist told me
the real story
is the unfolding of climate change.And a doctor told me
the real story
is the ongoing pandemic.And an activist told me
the real story
is the rise of fascism.And a historian told me
the real story
is that these are all the same story.
Des mythes:
- perdre de l'argent en passant à une tranche d'imposition supérieure
- depuis 2012, il est possible de prendre des congés dès sa première année
- il est possible de toucher le chômage en cas de démission, sous condition
Ce serait mieux de sourcer pour pouvoir réutiliser ces informations. #TODO
Réduire les déchets seraient un moyen de régler le problème
What we are trying to do is reach theoretical saturation, the point where additional research doesn’t give us new insights.
The image pictures it well: https://swipefile.com/from-data-to-impact and creates a consistent pattern.
A exercice of thought:
Raw data points is random and inconclusive. Information makes them consistent. Knowledge (or Findings) describe emerging patterns in data but aren't actionable. Insights reveal opportunities in this knowledge. Wisdom emerges from insights. Impact is reached while taking action with these insights and wisdom.
Hindsights are reflections of past actions and outcomes.
Foresights are informed projections, insights with extrapolation.
Here’s what it then looks like in real life:
Data ↓
Six users were looking for ”Money transfer” in “Payments”, and 4 users discovered the feature in their personal dashboard.
Finding ↓
60% of users struggled to find the “Money transfer” feature on a dashboard, often confusing it with the “Payments” section.
Insight ↓
Navigation doesn’t match users’ mental models for money transfers, causing confusion and delays. We recommend renaming sections or reorganizing the dashboard to prioritize “Transfer Money”. It could make task completion more intuitive and efficient.
Hindsight ↓
After renaming the section to “Transfer Money” and moving it to the main dashboard, task success increased by 12%. User confusion dropped in follow-up tests. It proved to be an effective solution.
Foresight ↓
As our financial products become more complex, users will expect simpler task-oriented navigation (e.g., “Send Money”, “Pay Bills“) instead of categories like “Payments”. We should evolve the dashboard towards action-driven IA to meet user expectation.
Cela ne sent pas bon pour les futurs investissements déraisonnable.
Comme pour toute bulle d'investissement, seule les applications éprouvées continueront d'être financées.
One of the figure who coined the term Enshittification. He writes a lot
Des notes réfléchies desquelles j'ai créé certains shaare plus récent
The books were once criticized similarly to AI now.
Saying no to AI is a luxury too. You have to be able to.
10 topics to consider while creating a file format.