Large Language Models
7 published articles
Financial reasoning benchmark
LLMs know accounting formulas. FinIndices shows they can't apply them
LLMs can recite accounting formulas, but FinIndices, a benchmark built on real Chinese financial statements, shows they struggle to apply them. Gemini-3.1-Pro's accuracy fell from 70.70% to 38.22% when formula hints were removed, and generating tables actively degraded models' reasoning.
2026-08-20
Agent Memory
TEPA: for AI agents, a stale memory is worse than none
Agent memory has a falsifiability problem, a new arXiv preprint argues: stale facts stay retrievable and pollute the prompt. Its TEPA mechanism revokes superseded memories, and in drift tests naive memory scored below no memory (0.210 vs 0.309) while TEPA reached 0.950.
2026-08-19
Qwen3.8-Max open weights land next week
Alibaba's most powerful model ever is going open source
Qwen3.8-Max, Alibaba's first open-weight Max-class model at 2.4 trillion parameters, hits Hugging Face and ModelScope next week. The launch reframes the open-source question: what happens when the frontier's biggest weights are free to download and test?
2026-08-06
Open Source AI
Kimi K3 is the biggest open model ever. It's still not the best.
Kimi K3 is the largest open model at 2.8T parameters, but it fails to beat the best proprietary models on overall benchmarks. While it excels on specific coding and agentic tasks, the gap to frontier leaders like Claude Fable 5 and GPT 5.6 Sol exposes the limits of scaling without architectural and data breakthroughs.
2026-07-27
Philosophy of AI
No, AI is not a rival mind. It is an extension of ours
Drawing on Husserl's phenomenology, researchers argue that AI systems are best understood as extensions of natural intelligence, not as autonomous minds. This perspective explains hallucinations and compositional failures while shifting safety debates from rogue AI fears to responsible engineering and governance.
2026-07-09
Identity & Privacy
The life the AI chooses to tell about you will not be yours
An AI-generated 17-slide summary of your life sounds like a neat productivity trick. The uncomfortable question is what we stop asking ourselves when a machine tells us who we are.
2026-07-07
Synthetic Data
Synthetic data generation just ditched its weakest link: the boss
Matrix is a decentralized framework that uses serialized messages passed through distributed queues for multi-agent synthetic data generation. By eliminating the central orchestrator, it achieves 2 to 15 times higher throughput on identical hardware.
2026-06-06