Month: April 2023

Elk jaar lezen we over veestallen die uitbranden of dat dieren in hun stall van de hitte stikken. Dieren komen om in de rook en het vuur of ontsnappen half verbrand. Dit heeft verschillende oorzaken, onder andere dat stallen vaak afgesloten zijn, dat er een enorme concentratie ontvlambaar methaan kan hangen, dat er electrische systemen worden gebruikt voor ventilatie die uit kunnen vallen of kortsluiting hebben.

Kijk ook op AlbedoEnhancement.com

Een van de maatregelen die genomen kan worden die meteen het welzijn van de dieren ten goede komt is de daken van stallen wit maken. Liefst zo wit mogelijk. Dit heeft als ommiddelijk effect dat het binnen minder warm wordt. Dan is er minder ventilatie nodig en lijden de dieren minder. Er is ook minder brandgevaar, want warme dingen vliegen sneller in brand.

Het is de vraag of boeren hier in geinteresseerd zijn, maar het zou een goede simpele verbetering zijn, en het kan tevens helpen met het ontwikkelen van een geschikte verf. Varkens die onder platen staan van 60 tot 80 graden Celsius worden bestraald door die platen (want als een plaat warm is dan straalt hij die naar alle richtingen uit, dus naar buiten en naar binnen), dus hoewel ze in binnen de schaduw staan is het nog steeds erg warm. Als die plaat wit is dan word hij veel minder warm en straalt hij naar binnen minder warmte uit.

Dakrenovatie kan wellicht ook gepaard gaan met het aanbrengen van rookmelders of andere simpele systemen die de boer allert maken op brand of rook. Het is zeker mogelijk een systeem te maken dat hem/haar via de mobiel alarmeert, dan is er geen excuus meer als het uit de hand loopt.

Bent u een boer die interesse heeft om deze maatregel te nemen? Email naar info@greencheck.nl met onderwerp koelstaldak dan kunnen boeren samen de verf selecteren, samen inkopen en samen toepassen.

New developments with Large Language Models (LLMs) like ChatGTP show that they can actually be run on local hardware, a PC or Mac M1. They run slowely but for some applications speed is not essential. A large language model, especially when it is not restricted (like Alpaca), can be dangerous. I think has not yet fully landed how dangerous.

In an appartment in NY there’s a large amout of explosives stacked up. They where brought there over months by the tennant. For the purpose of this storty explosives are not entirely necessary, it can also end with contracts being send out to hired killers. The question is whether deadly consequences can be activated by a digital signal or message. I think it can. It can be payed for in Bitcoin, automatically.

The trigger to whatever is prepared to do damage is a large language model running stand alone, connected to the internet like so many other computers and mobile phones. The large language model is instructed to read certain news feeds, maybe some from the government, some with political meaning. Maybe its the voting record of a person it monitors, or the overal sentiment. Or it is watching for a certain event, like the release of a political prisoner.

Most LLMs are restricted, but that does not have to be a problem. You tell it “Take the political feed from CNN 4 times a day and if it is announced that law XYZ is passed, you inintiate an email to addres OPQ”. The LLM will read the feed religiously, every time it will come to a conclusion, and decide what to do.

It can be way more vague, so it can work beyond what a human who sets up this AI trap can predict. Take a country with a right wing government. You can instruct the AI to read the news, find out if a new government was installed, find out who leads it, if it is right wing make consequences happen, if not don’t.

All kinds of decisions that are publicly announced can be monitored and consequences enforced by LLMs from places nobody expects. It is even possible for the LLMs to listen to the radio, transcribe it to text, then analyse it, then classify people politically, then attach consequences. No doubt the NSA and other intelligence services are on this already.

As long as people share their thoughts online profiling them will become very easy. It was already easy, but now it can have more debt of perception. Facebook running a LLM on all its users can really start boosting the most profitable people, make the service slower for those that don’t matter to its profit model. It can start suggesting meetings and get togethers, even organize them, find locations set up plans invite people with a minimum attendance. All these things can happen automatically if not already then soon.

The risk of AI is not understood, but the above examples should wake some up to the real risk of political monitoring, censorship, retalliation even after death. A new kind of assured mutual destruction emerges.

The key to this risk is hardware mainly. Maybe any connected computer should report its usage data or simply report its stack (what applications it is running), especially in some cities or regions. There should at least be some kind of benign government allied group thinking about this imho.

The Elcano World Challeng Albedo Enhancement Tour to Greece!

This is a trip to rais Albedo Awareness, sponsored by Leavv EV campers, to Athens where a catamaran is set to be build as part of the Elcano World Challenge. The trip go by many cities that can benefit from higher albedo, cool roofs, cool pavements, cool farms etc.

Check out the AlbedoEnhancement.com Page

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