Ai

After a sharp surge in RAM prices through September 2025, the market is showing early signs of correction. Does this show a part of reduced demand for AI GPUs or this is a smaller correction?

Algorithms are no longer just reacting to data, they are changing the world so that the data better fits them. So algorithms are not neutral at scale, they shape the world. In the process, they begin to cooperate, shape markets, and alter human behavior in ways that look a lot like quiet collusion.

Data poisoning is the deliberate injection of adversarial content into a model’s training data or a tool’s metadata so the LLM learns or obeys malicious instructions. In agentic systems that load third-party tools from MCP (model-connected platform) servers, poisoned tool descriptions or docstrings can trick an LLM into leaking secrets, executing harmful actions, or behaving as a covert proxy for attackers.

Data centers often leaves local communities with the costs while global firms capture the benefits.

Data scientists should have domain-driven thinking and why understanding the problem domain still matters more than the model even in the rise of LLMs.

An overview of the current landscape of GPUs and AI compute for local inference as of October 2025 from Nvidia and AMD to Intel, Apple, and the cloud.

Notes from testing DeepSeek-OCR as a local vision-language model for OCR and text compression on a large archive of screenshots. Includes observations on model performance, visual-token compression, and multilingual results.

NVIDIA’s DGX Spark arrives late as an AI inference system whose performance is lagging behind. With low speed unified VRAM, immature software optimizations, and heavy competition from Apple, AMD, and Intel, the Spark exposes how little remains of NVIDIA’s CUDA moat.

How AI vision models can help street photographers create detailed captions and discover details they missed in their first pass through images.

There is a lot of synthetic data that is being generated by LLMs, These include false metrics.