SabinStargem

Windows itself is quite good. The big problems come from who is managing it. If Microsoft wasn't invasive, I would gladly throw a couple hundred bucks at them and get on with my computing life.

My latest version of Thunderbird comes with the far right side panel being used to read email, the center panel a list, and the left is my boxes.

If I were god king of (USA/Europe/Asia...the Universe), I would subsidize repairable laptops. It would save resources in the long run, for both humanity and the planet.

Here's hoping that the bubble pops. I want to fill my machine with RDIMMs, and swap all of my SATA SSDs with 8tb 2280s.

In theory, completely rewriting legacy software with AI could be a great thing - doing so every 3 or 4 years, allowing newer and better AI to tackle the task, optimizing for every development made in technology or standards.

However, this still requires human minds to define, guide, and verify these projects. AI opens up possibilities for better development, but executives seem determined to fritter away such potential by axing the human element.

It is like a certain story...

I think AI is cool and useful, but it doesn't obsolete people. AI doesn't have hands, nor does it have social circles of experts to rely upon, or lived experience.

Closest thing to that is using Windows Enterprise. Here is previous PSA of mine...

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PSA, for people sticking to Windows:

You can get a reasonable level of privacy by installing Windows Enterprise via RUFUS, which also has options for removing restrictions during installation. Massgravel is used to activate your copy of Windows, the Github also having .ISOs for you to use with RUFUS.

ShutUp10 is a piece of software that goes a step further, allowing you to toggle off many bad things, uninstall Microsoft's AI, and gives a description of what you are tweaking does. The premium version also automatically applies your settings at all times, reverting Microsoft's constant tweaking of your settings.

RUFUS

Massgravel

ShutUp10

I am guessing this is to amp up the stock price of the GrokSpaceLink IPO.

GrokAI is a poison pill that has been fed into a healthy rocket-satellite company. Sucks for the folks who value practical infrastructure that contributes to society.

A law should be passed, where people who blind a Palantir cannot be prosecuted.

I am figuring on selling off my previous machine once the teething issues with the new one has been resolved. Given these specs, what would be a fair price, Lemmings? I was guessing around $2,250 without the drives, but I am not really on the pulse of the market.

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• CPU = Ryzen 5950x + Noctua heatsink with Kryosheet.

• PSU = SeaSonic Vertex GX-1200

• MOBO = Crosshair Hero VIII + WiFi

• CASE = Rosewill Thor V2

• RAM = DDR4 3600, 128gb total, came as a kit of 4 sticks.

• STORAGE (OPTIONAL) = x2 to x5 4tb SSD SATA drives, non-NVME.

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The biggest issue here is doing an RMA on the CPU. It is unstable when PBO is enabled. Since I suck at techno surgery, I wouldn't be able to install the replacement without forking over money to a technician. Maybe I can make that contingent on buying at least 2 SSD SATA drives?

My new machine has only 4 SATA ports, and the SATA card to support all five SSDs and the optical disc drive is taking up a GPU slot. Being able to buy some 2280 M2 drives would solve that problem for me. That would gel nicely with a technician handling the transfer of the SATA SSDs back to the old machine for the new owner, since the tech can also get the M2 and a third GPU into my new PC.

Courtesy of Kagi's search AI:

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It appears there is a slight misunderstanding of the acronym: Yann LeCun’s architecture is called JEPA (Joint Embedding Predictive Architecture), not JASP.

JEPA differs from Large Language Models (LLMs) primarily in how they learn, what they predict, and how they represent the world. While LLMs are "word models" designed to generate sequences of tokens, JEPA is intended to create "world models" that understand the underlying physics and logic of reality 3 4 .

The key differences are summarized below:

1. Generative vs. Predictive (Non-Generative)

   LLMs are Generative: They operate by predicting the next token in a sequence (generative AI) 2 . This approach often leads to hallucinations because the model focuses on statistical probability rather than factual ground truth 6 . JEPA is Predictive: Instead of generating every single pixel or word, JEPA predicts latent representations (embeddings) in a hidden space 5 . It tries to learn what is "plausible" rather than attempting to reconstruct every single detail of the input.

2. Word Models vs. World Models

   LLMs are "Word Models": They learn from text and treat intelligence as a language manipulation task 4 . LeCun argues that language captures only a small subset of human thinking and cannot represent high-dimensional physical spaces 2 7 . JEPA aims for "World Models": It is designed to understand cause and effect, physics, and the physical environment 1 . This allows the system to reason from first principles and plan sequences of actions, which is a prerequisite for autonomous AI 1 .

3. System 1 vs. System 2 Thinking

   LLMs (System 1): LeCun describes LLMs as "System 1" processes—they are reactive and perform a fixed amount of computation to produce each token 2 . JEPA (Path to System 2): By incorporating world models, JEPA is intended to enable "System 2" thinking—the ability to plan, reason, and deliberate before acting 1 .

Summary Comparison Table Feature Large Language Models (LLMs) JEPA / World Models Core Goal Predict next token (Text/Code) Predict latent state (Reality/Physics) Method Generative (Pixel/Token by pixel/token) Joint Embedding (Non-generative) Domain Linguistic/Statistical patterns Physical/Causal understanding Weakness Hallucinations, lacks physical grounding Limited fluency in natural language Cognition Reactive (System 1) Planning/Reasoning (System 2)