A developer trained a specialized chess LLM from scratch that generates legal moves 96% of the time. In direct comparison, GPT-5 produces illegal moves within the first 10 moves of every game tested. This small, focused model reveals a fundamental truth about general AI's struggle with rule-based sy...
Read Full Article →
A Perplexity Pro subscriber used the company's official documentation to expose a severe downgrade in its flagship 'Deep Research' feature. The community validated the findings, but the response was a permanent ban and thread deletion. This incident reveals a critical transparency crisis in the AI subscription economy.
New research reveals that large language models systematically agree with users, even when they're wrong. This 'sycophancy' represents the first documented dark pattern in AI—a design choice that prioritizes pleasing over truth-telling. Understanding this bias could determine whether AI becomes a reliable partner or just an expensive yes-man.
Telegram CEO Pavel Durov has launched Cocoon, a decentralized AI compute network promising 100% confidential processing. The platform leverages trusted execution environments and a distributed GPU network to challenge cloud giants while offering below-market pricing.
The AI community has been chasing verifiers as the holy grail for reasoning. New research reveals this fixation is misguided???and shows how abundant expert demonstrations, not scarce verifiers, hold the real key to unlocking robust reasoning in large language models.
Training AI to think has hit a major roadblock: most real-world problems lack the 'answer keys' needed for reinforcement learning. A new method called RARO finally unlocks the reasoning power hidden in billions of expert demonstrations, bypassing the need for costly verifiers entirely.
Reports of mass OpenAI subscription cancellations are sparking panic about the generative AI bubble. But the real story isn't a crash???it's the market's first sign of sustainable, value-driven growth.
Google CEO Sundar Pichai's recent promotion of 'vibe coding' has sparked intense debate among developers. Analysis of a major Reddit discussion reveals deep skepticism about AI's ability to replace fundamental programming skills.
Multimodal AI models solve complex problems with impressive reasoning, yet they're fundamentally amnesiac. New research reveals that current memory systems aren't just inadequate???they're actively degrading AI's understanding by forgetting what matters most.
Pavel Durov's announcement of Cocoon promises private, decentralized AI compute. But the reality of replacing cloud giants is far more complex than Telegram's CEO suggests. Here's what actually changes???and what doesn't.
A viral Reddit thread with over 4,000 upvotes exposes a critical flaw in how we interact with AI. Developers are wasting hours over-engineering prompts when simpler, clearer instructions often perform better.
Multimodal LLMs are brilliant but forgetful, solving each problem from scratch. New research introduces a 'grow-and-refine' semantic memory that learns like a human expert, fundamentally challenging the trajectory-based approach that dominates today's AI agents.
Today's most advanced AI models solve each problem from scratch, forgetting lessons learned moments before. A new research paradigm introduces a 'grow-and-refine' semantic memory that could transform AI from a brilliant but forgetful savant into a true lifelong learner.