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...
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Securus Technologies claims its AI can predict crimes by analyzing inmate communications. The truth is more troubling: these systems demonstrate dangerous bias while offering little actual predictive power. The real crime might be believing in technological solutions to complex human problems.
For decades, technology promised productivity gains that never materialized. Now, the economic singularity—where AI fundamentally reshapes value creation—is delivering what automation failed to achieve. This collaboration between Financial Times and MIT Technology Review reveals why this time is different.
A new method called AlignSAE promises to finally crack open the 'black box' of large language models by forcing their internal features to align with human-defined concepts. This breakthrough in interpretability could lead to safer, more controllable, and more trustworthy AI systems by making their reasoning processes transparent.
A new evaluation framework called LLM CHESS reveals that most language models fail at basic reasoning and instruction-following when tested in extended, interactive scenarios. The surprising truth? Raw knowledge doesn't translate to practical intelligence, and our current benchmarks are missing what actually matters.
Everyone assumes Google is losing the AI race to OpenAI and Nvidia. The truth is more complex—and reveals why Google's apparent 'struggle' might be its greatest strategic advantage in a market about to undergo a seismic shift.
Securus Technologies, a major provider of prison communication services, has trained an AI model on millions of inmate calls. Now, it's piloting that same system to scan calls, texts, and emails in real-time, aiming to predict and prevent crimes before they happen.
A small team with Blackwell Ultra GPUs in Ulaanbaatar is offering compute at a fraction of cloud prices. With sub-100ms latency to major Asian tech hubs, this could reshape regional AI development. We analyze whether this is a brilliant arbitrage play or a logistical nightmare.
A telecommunications company has trained an AI on millions of inmate phone calls and is now using it to scan communications in real-time, aiming to predict crimes before they happen. This pilot program represents a fundamental shift in prison surveillance, pitting the promise of preventative security against profound ethical and legal questions about mass monitoring, bias, and due process.
A viral Reddit thread with over 10,000 upvotes exposes a critical flaw in how we interact with AI companions. The post 'She doesn't exist' reveals users are building emotional bonds with hollow personas, but the solution is simpler than you think.
Securus Technologies has deployed an AI system trained on years of inmate communications to predict criminal activity. The program, now scanning millions of calls monthly, raises urgent questions about algorithmic bias, privacy, and the future of predictive policing.
When researchers discovered AI-written peer reviews flooding a major conference, the academic world panicked. But the real story isn't about cheating—it's about how AI is exposing fundamental flaws in a broken system that was already failing science.
A small team in Ulaanbaatar is offering Blackwell Ultra B300 GPUs at $5/hour—less than half the expected market rate. With surprisingly low latency to major Asian tech hubs, this unconventional offering challenges the geography of AI infrastructure.