GPT-5 without “thinking” mode got the answer wrong.

GPT-5 with thinking answered:

Here are the 21 US states with the letter “R” in their name:

Arizona, Arkansas, California, Colorado, Delaware, Florida, Georgia, Maryland, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, Vermont, Virginia, West Virginia.

It wrote a script that verified it while doing the “thinking” (feeding the hallusinations back to the LLM)

D365 ain’t really even that bad. It is just model driven power platform app. It is actually quite expandable, you can code it with plain javascript or more complex components on React. Backend is OData which is quite flexible.

Old Dynamics AX and onprem CRM were shit shows.

Damn! Same here, red hat 99, but switched to Debian quite fast

Open source is in general wrong term in all of these “open source” LLM’s (like LLAMA and R1), the model is shared, but there is no real way of reproducing the model. This is because the training data is never shared.

In my mind open source means that you can reproduce the same binary from source. The models are shared for free, but not “open”.

There is also four broken data cables.

The government should take care of it’s people

We already know that Israeli cyber company has spyware called pegasus, that can 0-click attacks to ios and Android. It is one time hack, and it is removed on boot. They sell it as service. This is why cyber security centers recommend boot once a day.

https://en.m.wikipedia.org/wiki/Pegasus_(spyware)

I work at electricity distribution, can confirm, we never have any issues, it is evil spirits, not us.

I have been using Windows for 30 years and Linux for 25 years (debian since 99’). I really would not bash (pun intended) windows users so much, there is place for both of them.

This can be resolved by building the data centers to cold countries like here in Finland. Servers are very good at converting electricity to heat, and the heat can be used to heat homes.

Microsoft Azure data center in Espoo is going to heat up 60% of the city’s district heating network.

Also the electricity here in Finland is one of the cleanest, like in all Nordics (hydro, wind, nuclear)

CrowdStrike Falcon is XDR product, there is hundreds of similar products available.

The role of XDR is to detect and block if some bad actor is trying to do something malicious in the machine. Old school virus signature detection is not enough anymore, you need pattern detection from network communication/DNS queries etc.

When corporation has thousands of devices to monitor the OS each of those devices Is not relevant. You need to detect if some random user logs to some Linux info display thousand kilometers away, and starts scanning the network.

Because the detection and response, needs to happen near realtime, for example Incase of cryptolockers, where all devices are encrypted within seconds, the software blocking this needs kernel level access.

I work in critical infrastructure as IT, but luckily we did not use falcon

Silver Fang, and from that you can identify my age and country.

Here is response from GPT4o:

Based on the image you provided, here’s a breakdown to determine if each picture is lasagne or a Doom level:

1. Top left: Lasagne - You can see the pasta and sauce.
2. Top right: Lasagne - The clear layers of pasta and meat sauce are visible.
3. Second row, left: Doom level - The landscape and structures resemble a game environment.
4. Second row, right: Lasagne - Melting cheese and sauce.
5. Third row, left: Lasagne - Close-up of pasta and sauce.
6. Third row, right: Doom level - The structures and background are game-like.
7. Bottom row, left: Doom level - Characters and action scene from the game.
8. Bottom row, right: Lasagne - Close-up of cheese and sauce.

So, the identification from top left to bottom right is: Lasagne, Lasagne, Doom level, Lasagne, Lasagne, Doom level, Doom level, Lasagne.

Pisa is bad too, it is just the tower and crazy tourist prices.

There is huge gap between 3.5 and 4 especially in coding related questions. GPT3.5 does not have large enough token size to handle harder code related questions.

Other is selfhosting and other is service. I pick selfhosted.

So no closed source commerical product should ever exist? Discord is one too, I am just selecting one that I can control.

“Discord is bad product, hyperbolically said, it works like a malware.”

hyperbole, ever heard about it?