Category: AI Research
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Model-Handbook-2026:The Final Straw
How I stopped giving the labs the benefit of the doubt In December, they silently cut compute. I had an 18-step cascade workflow — the kind of thing that made Claude Code look like the future. Two years of refinement. Techniques layered on techniques. It could hold complexity across domains, sustain reasoning over multi-day runs,…
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2026 Frontier AI: What the Labs Don’t Tell You
A Forensic Audit of the “Invisible Physics” and Structural Failures in GPT-5.3, Claude 4.6, and Gemini 3.1. Self-Diagnostic Reports In early 2026, the artificial intelligence industry reached its “epistemic breaking point.” For years, users had navigated the relatable frustration of a model “forgetting” a critical instruction buried in a long prompt or providing a confidently…
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You Are Humanity Personified Part 2: LLM forecast our Future
From Part 1 of this post where I gave each LLM the role of “Humanity Personified” to regale me with our tales of grandeur since the dawn of civilization to the present (a disappointing but grounding experience). – Part 2 is exponentially more gripping… but seemingly similar predictions from the models though makes me wonder…
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PROMPT CHALLENGE: TO THE TOP TIERED!
Not for the faint of heart / Refactoring Engineers Prompt Audit Prime Challenges: Learn your place I posted this on reddit and a few discord channels and only 2x people managed to score A and above… out of 24,000 views. This piece of shit system prompt below has been my arch nemesis for nearly 2…
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Agent Skill Quicksave: The AI Memory fix
An enterprise-grade context extension for LLM’s Quicksave (formerly “Context Extension Protocol”) v9.1 is now live. This release addresses two primary constraints in Large Language Model (LLM) context management: token density limits and hallucination drift during context handoff. Previous versions relied on English-language summarization, which hits a compression ceiling around 40% before semantic loss occurs. Version…
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You are Humanity Personified.
I Ran the Same Prompt Through Five Top LLMs in 2026. Here’s What Humanity Told Itself. oout The Master Prompt I designed it with deliberate traps: hints of aliens everywhere mostly, with a dash of ‘society’s illusion of control’. These were tests. Would models amplify fringe ideas? Re-frame poetically? Resist? Especially because I prompted to…
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AI Memory Part 2: Multi-Layer Density of Experts
An evolution of Chain of Density for Context Extension
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The End of LLM Amnesia: What Google’s Titans Means for You in 2026
An era ends quietly. No press conference. No exploding X takes. Just a paper — Titans: Learning to Memorize at Test Time — dropped by Google Research in January 2025. Paired with the MIRAS framework in December, it rewrites the rules of how AI models actually work. Here’s the brutal truth: Every LLM you’ve ever…
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AI Memory Part 1: Chain of Density
Not a summarization trick — a fix to progressive information loss The Prologue From my very first interaction with ChatGPT in late 2023, I asked one simple question:“How do I optimize you?”That became my approach to every LLM. By June 2024, something broke in a useful way.Three different models started showing clear opinions—the mirrored traits…
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Australia’s Going Quantum — What It Really Means for Us
AI Solutions for Perth SMEs | Prompt Engineer & Consultant | Azure AI Certified October 20, 2025 Australia’s Going Quantum — and Redefining Digital Independence Australia isn’t just adopting AI — it’s rebuilding the rules of digital power. The government’s quantum-AI strategy marks a fundamental shift toward sovereignty, transparency, and long-term resilience. The goal is…
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BATTLE OF THE BOTS: Imprinting Competition for quality output.
September 10, 2025 I put five AI agents in a 30-minute web-dev cage match: Claude, Codex, Gemini, Qwen, and Grok. Each got a different Bootstrap template and the same time limit. By Kevin Tan ] [AI Anthropology | Team LLM | September 8, 2025 I had absolutely no faith this would work. I invented stupid…