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11+ min ago   (42+ words) Anthropic: Anthropic details the "Assistant Axis, a pattern of neural activity in language models that governs their default identity and helpful behavior This is a Techmeme archive page. It shows how the site appeared at 9:30 PM ET, January 19, 2026....

26+ min ago   (366+ words) Fine-tuning Small Language Models (SLMs) like Llama 3.2 or Phi-4 is easier than ever thanks to tools like Unsloth. But the setup is still a pain. You have to find the right Colab notebook, format your data into JSONL, debug generic…...

39+ min ago   (435+ words) In the world of data analysis and business automation, Python is a powerful tool for "batch processing." Whether it's automating repetitive tasks or processing heavy datasets overnight, the applications are endless. However, "batch processing with Python" can mean different things…...

1+ hour, 23+ min ago   (1404+ words) Research demonstrates that repeatedly processing information within large language models, while increasing computational depth, does not necessarily improve their ability to access and utilise internal knowledge, and may even diminish it, suggesting current methods fall short of achieving true internal…...

1+ hour, 45+ min ago   (1317+ words) A new large language model, MoST, improves both speech and text processing by intelligently directing information to experts tailored to each input type, achieving superior performance using only openly available data. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-54-18.jpg The challenge of effectively combining speech and text…...

1+ hour, 56+ min ago   (1489+ words) Kolmogorov-Arnold Networks consistently outperformed traditional Multi-Layer Perceptrons across diverse tasks, achieving greater accuracy with substantially lower computational demands due to their adaptive, grid-based structure. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-53-15.jpg The challenge of building efficient and accurate neural networks continues to drive innovation in computational…...

2+ hour, 5+ min ago   (923+ words) A new probabilistic framework, ProbFM, accurately decomposes forecasting uncertainty into predictable and inherent variability using deep evidential regression, offering a theoretically sound and computationally efficient solution for financial time series forecasting. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-52-15.jpg Time series forecasting is increasingly reliant on Foundation…...

2+ hour, 24+ min ago   (817+ words) A new, publicly available dataset of 15,600 simulated fringe images is enabling researchers to benchmark machine learning models for 3D object reconstruction, revealing inherent limitations in directly converting fringe patterns to depth maps and consistently achieving errors of 58-77mm. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-50-13.jpg Synthetic Dataset Accelerates…...

3+ hour, 9+ min ago   (373+ words) Every day, organizations generate massive amounts of data. But raw data sitting in scattered systems is worthless. Someone needs to collect it, transform it, move it, and make it available for analysis. That someone is a Data Engineer. After years…...

3+ hour, 31+ min ago   (287+ words) A quick guide to why Uvicorn is essential for Python developers in 2026, how to use it, and how it stacks up against other languages. Uvicorn is a high-speed ASGI (Asynchronous Server Gateway Interface) server. While frameworks like FastAPI or Starlette…...