ELIZA Source Code Reveals Chatbot's Multiple Personalities
Researchers uncovered the original ELIZA source code from MIT archives, showing the chatbot could assume various personas beyond its therapist role.
Research
116 articles
In-depth coverage of new AI research — papers, benchmarks, and breakthroughs from leading labs and academia, summarized for fast reading and grounded in the methods that matter.
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Hugging Face Evaluates Open-Source AI Models for Swiss Legal Tasks
Hugging Face evaluated 13 open models on three Swiss legal benchmarks with 55,861 scored samples each, showing the top five models differ by only 2.1 points.
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Anthropic Discovers New Internal Space in AI Models
Anthropic's new research reveals a hidden 'J-space' within AI models that influences their reasoning, offering deeper insight into how they process information.
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AMD Optimizes Video Sparse Attention on ROCm
AMD announces ROCm-optimized video sparse attention with 3.13× speedup over prior methods, reducing training-time latency to 73.06 ms.
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Anthropic's J-Space Explores Consciousness in Claude
Anthropic's new research suggests Claude may have two distinct language processing routes, with one resembling access consciousness. The study shows the model can continue Spanish text while naming French authors, indicating potential for explicit reasoning.
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Quantum Computing Boosts AI Drug Discovery Models
A Danish team used quantum computing to enhance AI models, generating more effective peptides for vaccine development.
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Cohere Introduces Hardware-Aware Dynamic Speculative Decoding
Cohere's new technique improves large language model inference speed by adapting to hardware constraints, achieving up to 23% faster performance at high batch sizes.
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Anthropic Unveils J-Space Inside Claude Opus 4.6
Anthropic has identified a hidden area within its Claude Opus 4.6 model called J-space, offering new insights into how the AI processes information.
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OpenAI Finds 30 Percent of Popular AI Coding Test Broken
OpenAI has pulled its endorsement of SWE-Bench Pro after finding 30 percent of its tasks flawed, impacting AI performance assessments.
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IBM Introduces CofrGenets to Improve Transformer Model Training
IBM researchers have developed CofrGenets, a new framework that reduces training errors in transformer-based models by 40%.
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OpenAI Finds 30% of SWE-Bench Pro Tasks Broken
OpenAI found that about 30% of tasks in SWE-Bench Pro are broken, according to a recent audit of coding benchmarks.
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AWS Unveils BYOKG and GraphRAG for Intelligent Pharmaceutical Research
AWS introduces BYOKG and GraphRAG to address fragmented data in pharmaceutical research, with a 5 percent success rate in early-stage drug discovery.