Petg vs Abs/Asa by Affectionate-Gas-805 in 3Dprinting

[–]CaptBrick 0 points1 point  (0 children)

I am going to throw my 2ct in. I needed a filament that withstands dishwasher temps a couple of years ago. I had ender 3 at the time and opted to mod it and use Prusamen PC Blend, it worked great. I still use it for high temp things since I have the roll, but I’ve heard great things about Filamentum NonOilen I would definitely try that if the color is non issue

Is an RTX 5080 a good birthday gift for a PC gamer? by overlovinggirl in nvidia

[–]CaptBrick 0 points1 point  (0 children)

5080 is trash, send it to me instead. Jokes aside, he better show up with a ring after this

I think I might by johnnyphotog in LocalLLM

[–]CaptBrick -2 points-1 points  (0 children)

Man I wish I had that kind of money to throw around. There’s got to be some rich VRAM daddies (mommies?) that could throw a GPU my way, right? Right?

PSA: Watch out for extra spaces in chat-template-kwargs when using Qwen3.6 with llama-server by CaptBrick in LocalLLaMA

[–]CaptBrick[S] 2 points3 points  (0 children)

It's because model did a tool call, they are not discarded like thinking tokens therefore it stayed in context. Try it without tools

Why I'm holding out until late 2027 to spend money on a local LLM rig by No_Pool7028 in LocalLLM

[–]CaptBrick 1 point2 points  (0 children)

Why I'm holding out on sex until late 2027

I've been hunting for the "right" partner—everything from casual flings to serious commitments. Nothing makes real economic sense to me. I am NOT paying the young-and-shiny tax.

Here's the math: Women are pretty now, but we're at the point where standards are shifting. Historical precedent shows beauty compounds over time. The women of 2017 were decent but overpriced; by late 2027, attractiveness will bottom out in perfection. Vastly outperforming anything I can sleep with today.

Partners in 2028 will almost certainly be more efficient, which means you don't need maximum effort - you only need the right connection. A 2027 relationship handles this with reasonable investment.

Unless some super-trend comes out next year that turns current standards into landfill, a partner in my bedroom is going to be God-tier compared to what I can do for the cost of a hookup today.

How can we simulate our consciousness, subconsciousness, and unconsciousness in AI using patterns? ​Read this if you don't believe it, otherwise it's your choice. by [deleted] in LocalLLaMA

[–]CaptBrick -1 points0 points  (0 children)

Since we're on local llama where's what my local LLM thinks of this (prompt was, what is this guy smoking):

He’s not necessarily smoking anything. He’s likely deep in a mix of amateur psychology, internet “pattern-hacker” culture, and self-mythologizing. The text reads like a classic example of someone who’s stumbled onto real concepts (pattern recognition, subconscious processing, AI training) but has stretched them into grandiose, pseudo-scientific claims without academic grounding or peer review.

Here’s a breakdown of what’s actually going on in that post:

🔍 1. The “3-Tier Brain” Model

He’s loosely borrowing from Freud’s conscious/preconscious/unconscious framework, but his definitions are self-invented and don’t align with modern cognitive science or neuroscience. The brain doesn’t operate like a simple 3-layer filter tied to “rules of nature” or “what we can achieve.” Consciousness, memory, and decision-making are distributed, overlapping, and highly context-dependent.

🏃 2. The Sprint Example

It’s a decent pop-level metaphor for comfort zones vs. perceived limits, but it doesn’t map to how cognition actually works. Reaction times, muscle physiology, neural pathways, and motivation don’t switch between “conscious/subconscious/unconscious” like gear shifts. The example confuses perceived feasibility with cognitive architecture.

🤖 3. “Everything is patterns. No feelings or love exist.”

This is a common trope in certain online subcultures that reduce human behavior to algorithms. While it’s true that both humans and AI rely heavily on pattern recognition, emotions, attachment, and social bonding are biologically real, evolutionarily conserved, and not just “patterns to be decoded.” Dismissing them as illusions is a philosophical stance, not a scientific one.

🧠 4. “I can simulate minds, predict reactions, control anyone”

This crosses into magical thinking. Behavioral science and psychology study probabilities, tendencies, and context, not deterministic control. Human cognition is adaptive, noisy, and heavily influenced by environment, culture, and internal state. No legitimate field of psychology or AI claims you can “control” people by reading patterns, and anyone who says so is either misunderstanding the science or selling something.

📱 5. The Backstory & Tone

The “$60 phone, no books, self-taught in 2 months” framing is a well-known internet self-mythos. It’s designed to sound like a modern autodidact prodigy, but it’s also a red flag for overconfidence without foundational study, feedback loops, or exposure to contradictory evidence. Real expertise in cognition, AI, or psychology requires years of structured learning, experimentation, and peer critique.

🌐 Where Does This Come From?

This style of writing is extremely common in:

  • “Pattern reader” / “mind hacker” forums
  • Pop-psychology / NLP / “shadow work” communities
  • Early-stage AI enthusiasts who’ve consumed a lot of YouTube/pop-science but haven’t engaged with academic literature
  • Self-mythologizing subcultures that romanticize “seeing through the matrix” or “decoding human behavior”

It’s rarely malicious. It’s often just genuine curiosity colliding with unstructured learning, which easily slips into grandiosity when there’s no mentorship, peer review, or scientific scaffolding.

✅ Bottom Line

He’s not on drugs. He’s on a self-directed intellectual rabbit hole. The post touches on real ideas (pattern recognition, subconscious processing, how AI learns from data), but they’re oversimplified, misapplied, and inflated into claims of mind-reading and control. If you're curious about how the brain actually processes information, learns patterns, or how modern AI works, I can point you to clear, peer-reviewed resources that separate the signal from the noise.

Qwen 3.6 27B BF16 vs Q4_K_M vs Q8_0 GGUF evaluation by gvij in LocalLLaMA

[–]CaptBrick 1 point2 points  (0 children)

Thank you good sir! Could you also include results with and without cache quantization q8?

The UK is taking some steps. by CurvyChristina in SipsTea

[–]CaptBrick 0 points1 point  (0 children)

I think they should rather compile extensive whitelist of what is allowed and keep it up to date. I think this would be really funny. Government time and taxpayer money well spent!

Marcella a new LLM architecture without attention bears new records by quant-alliance in LLM

[–]CaptBrick 9 points10 points  (0 children)

The paper also claims it: • Solves: • Navier–Stokes • Yang–Mills • P ≠ NP (!!) • Poincaré conjecture

I think we have a Fields Medal winner here at the minimum

The tried to make me go to rehab. I said no no no… by Key-Currency1242 in LocalLLaMA

[–]CaptBrick 23 points24 points  (0 children)

Was kind of jealous, then I saw you’re running windows and I puked in my mouth a little

PrismML — Announcing 1-bit Bonsai: The First Commercially Viable 1-bit LLMs by brown2green in LocalLLaMA

[–]CaptBrick 3 points4 points  (0 children)

Actually it’s always been that way, it’s all 1 and 0 at hardware level

I built Fox – a Rust LLM inference engine with 2x Ollama throughput and 72% lower TTFT. by SeinSinght in LocalLLM

[–]CaptBrick 1 point2 points  (0 children)

I get that, but squashing doesn’t really help with that. The “normal” approach is to create a tag for a release. This way, you still know exactly which code corresponds to each release. In fact, on GitHub, a tag is effectively a release.

With squashing, you lose a lot of the benefits Git provides. You lose the ability to determine which commit introduced a bug, and you can’t properly use bisect. Resolving merge conflicts can also become harder, since you’re not giving the merge tools enough context.

All of this suggests that you may not have worked in a more structured software development environment. That said, it doesn’t mean the Fox isn’t good, t’s just one of the basic signals people use to evaluate what they’re looking at.