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MMrktgeniemrktgenie.hashnode.devJun 25 · 5 min read

AI for B2B: What AI Can Actually Do for Your Business Today — Myth vs. Reality

Artificial intelligence is no longer a curiosity—it’s an execution layer. Yet most B2B leaders are stuck in a dangerous middle: aware of AI, but unclear on where it creates real leverage. The result?

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GSGerard Sansai-cosmos.hashnode.devDec 1, 2025 · 5 min read

The Proposition Fallacy: Why AI Still Needs Human Experts Oversight

The headlines are breathtaking. In 2025, an advanced version of Google’s Gemini Deep Think solved five out of six International Mathematical Olympiad problems perfectly, earning 35 total points and achieving gold-medal level performance—a feat that p...

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GSGerard Sansai-cosmos.hashnode.devNov 13, 2025 · 7 min read

Beyond the Hype: The Illusion of “Reasoning” by Overfitting to Prompt Steering Techniques

A recent paper making the rounds claims to have found something surprising: reinforcement learning (RL) doesn’t just teach models to reason—it can also make them better at recalling structured knowledge. The study shows that RL-fine-tuned models sign...

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GSGerard Sansai-cosmos.hashnode.devNov 4, 2025 · 5 min read

Beyond Injectivity: What the ‘Language Models are Injective’ Paper Reveals—and What It Overlooks

If you’ve been anywhere near AI Twitter or arXiv this week, you’ve likely encountered a striking claim: Transformer language models are injective. Different prompts almost surely lead to different hidden states. Not only that, but we can exactly reco...

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GSGerard Sansai-cosmos.hashnode.devNov 3, 2025 · 12 min read

A Renaissance Architecture for AI: Six Pillars Beyond Transformers

We stand at a curious moment in AI development. With each new breakthrough—reasoning models, agentic systems, autonomous colleagues—we’re told we’re witnessing the dawn of true machine intelligence. Yet seasoned observers feel a persistent unease, a ...

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GSGerard Sansai-cosmos.hashnode.devNov 1, 2025 · 6 min read

The Mirage of Human-Like AI: A Sharp Critique of Machine Psychology Theater

If you want to watch a discipline collapse into self-delusion, follow the scent of overhyped research. The latest example is a paper claiming that Large Language Models can “reproduce human purchase i

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GSGerard Sansai-cosmos.hashnode.devOct 21, 2025 · 7 min read

The Grounding Gap: Why In-Context Reinforcement Learning Still Isn’t Learning

The AI research community has recently embraced “amortized learning” and its close cousin, In-Context Reinforcement Learning (ICRL), as promising frameworks for adaptive intelligence. These approaches—sometimes called context adaptation, meta-learnin...

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GSGerard Sansai-cosmos.hashnode.devOct 19, 2025 · 7 min read

The AI Medieval Era: Why We’re Mistaking Exploitation for Exploration

The field of artificial intelligence has entered what I call the Medieval Era—a period marked not by ignorance, but by a peculiar blindness. We have built something genuinely powerful. We’ve consolidated it into a dominant paradigm. And now, mistakin...

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GSGerard Sansai-cosmos.hashnode.devOct 19, 2025 · 6 min read

The Scaffolding Saga: Paving Goat Trails in AI’s Medieval Landscape

We are sold a vision of a soaring eagle, but we are watching a carefully staged performance on a precarious stage we built ourselves. If the fine-tuned LLM is a stochastic parrot, then the contemporary “agentic” system is a carnival act: a parrot on ...

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GSGerard Sansai-cosmos.hashnode.devOct 13, 2025 · 7 min read

What Sutton Missed: Major Challenges in Reinforcement Learning

There’s a seductive myth circulating through AI labs and tech discourse: that reinforcement learning “unlocks” reasoning in large language models. That with enough reward signals and clever fine-tuning, an LLM can learn to think—to plan, deduce, and ...

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#ai-myths

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Trending tags this week

AI for B2B: What AI Can Actually Do for Your Business Today — Myth vs. Reality

The Proposition Fallacy: Why AI Still Needs Human Experts Oversight

Beyond the Hype: The Illusion of “Reasoning” by Overfitting to Prompt Steering Techniques

Beyond Injectivity: What the ‘Language Models are Injective’ Paper Reveals—and What It Overlooks

A Renaissance Architecture for AI: Six Pillars Beyond Transformers

The Mirage of Human-Like AI: A Sharp Critique of Machine Psychology Theater

The Grounding Gap: Why In-Context Reinforcement Learning Still Isn’t Learning

The AI Medieval Era: Why We’re Mistaking Exploitation for Exploration

The Scaffolding Saga: Paving Goat Trails in AI’s Medieval Landscape

What Sutton Missed: Major Challenges in Reinforcement Learning