Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Rising AI costs are forcing businesses to scrutinize spending as price hikes from providers like OpenAI and Microsoft challenge the value proposition of large language models. Companies such as Uber and Nvidia are cappin…
A debate is emerging in engineering circles that AI has killed Agile and brought back Waterfall, but the reality is more nuanced: the high cost of writing code that made Agile necessary is gone, replaced by a rapid spec-…
A writer argues that artificial intelligence models are increasingly sophisticated statistical tools that mimic human output without genuine understanding or embodiment, warning that optimizing for testable properties le…
Anthropic reported degraded performance affecting multiple AI models on its platform. The company is offering email and text message notifications for users to track updates on the incident. Users must verify their phone…
A software developer admits to an irrational aversion to reading text they suspect was generated by artificial intelligence, despite acknowledging that AI-generated content can be informative and that human-AI collaborat…
Researchers analyzing token consumption in LLM-based multi-agent software engineering systems found that code review stages consume the majority of tokens at 59.4%, with input tokens accounting for 53.9% of total usage. …
Researchers introduced Gaia2, a benchmark for evaluating large language model agents in dynamic, asynchronous environments where scenarios evolve independently of agent actions. Testing of state-of-the-art models reveale…
Patrick Collison's description of an ideal LLM workflow tool, characterized as "GNU Autotools × Notion," directly aligns with the Verivus Assurance Platform (vap) and its open-source verivus-oss component, according to a…
The Atlantic published an essay titled "Welcome to the Slopverse" on November 26, 2025, arguing that generative AI produces multiple coexisting realities rather than simply "hallucinating." The piece, part of a series ma…
A developer analyzed five AI-powered entertainment hacks that each garnered over 100 upvotes on Reddit, extracting key lessons from each project. The hacks include an iMessage-style emotional panel for SillyTavern that e…
A developer found that deploying a 70B Llama model with RAG features caused time-to-first-token (TTFT) to jump from 180 ms to 1.4 seconds, as the model recomputed identical attention states for repeated 6,000-token conte…
A developer built a persistent memory system for multi-turn RAG chatbots using ChromaDB, solving the problem of conversation history loss after service restarts. The solution stores conversation turns as vector embedding…
In a 2025 benchmark comparing three industry static analysis tools against three frontier LLMs on sixty-three real vulnerabilities in ten C# projects, the LLMs achieved F1 scores between 0.75 and 0.80, significantly outp…
A developer argues that evaluation infrastructure, not alignment research or product engineering, serves as the actual enforcement layer for AI safety in production. The developer proposes that safety must be treated as …
A developer spent three days debugging malformed JSON output from GPT-4 before discovering that constrained decoding, rather than prompt engineering or post-generation parsing, reliably produces valid structured data. Us…
A writer argues that criticism of AI-generated content relies on an idealized, unrealistic standard of human output, pointing out that most human-created code, advertisements, and media are already low-quality "slop." Th…
OpenAI’s GPT models and Meta’s LLaMA-family use transformer architectures that convert text into token IDs, then map each ID to a dense vector via an embedding matrix. These vectors are combined with positional encodings…
A developer has created a guide for running coding agents like Codex CLI, Claude Code, and Cursor entirely on local hardware using Ollama, eliminating the need to send proprietary code to third-party servers. The setup, …
A developer built a Quantified-Self RAG (Retrieval-Augmented Generation) system that ingests a decade of personal medical records from messy PDF scans using Unstructured.io, Sentence-Transformers, and Qdrant. The pipelin…
Frontier AI models from companies including OpenAI and Anthropic still trail human performance on belief-state tracking, a core component of Theory of Mind that is essential for multi-agent cooperation, according to a ne…