Popular LLM ranking platforms are statistically fragile, new study warns
A new study reveals just how little it takes to shake up LLM rankings, raising fresh questions about how much weight the AI industry should put on (crowdsourced) benchmarks.<br /> The article Popular LLM ranking platforms are statistically fragile, new study warns appeared first on The Decoder. [...]
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Under the hood of AI agents: A technical guide to the next frontier of gen AI
Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]
Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI
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A weekend ‘vibe code’ hack by Andrej Karpathy quietly sketches the missing layer of enterprise AI orchestration
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]
Scale AI launches Voice Showdown, the first real-world benchmark for voice AI — and the results are humbling for some top models
Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google DeepMind, Anthropic, xAI — is racing to ship voice models capable of natural, real-time conversat [...]
Apple study reveals AI controllability is fragile and varies wildly by task and model
A new theoretical framework shows that controlling language models and image generators is surprisingly fragile and depends heavily on the specific task and model.<br /> The article Apple study [...]
Red teaming LLMs exposes a harsh truth about the AI security arms race
Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks tha [...]
Why your LLM bill is exploding — and how semantic caching can cut it by 73%
Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways.& [...]