Feedback requested: The Three Laws + Manifesto
A user is seeking feedback on a philosophical framework for Continuous Cycle AI (CCAI), which includes a draft Bill of Rights for persistent artificial intelligence and a synthesis of Isaac Asimov's T…
A user is seeking feedback on a philosophical framework for Continuous Cycle AI (CCAI), which includes a draft Bill of Rights for persistent artificial intelligence and a synthesis of Isaac Asimov's T…
A developer explains that attention sinks—tokens at position 0 that absorb excess attention weight—cause streaming LLMs to fail when evicted from the KV cache. The softmax normalization forces the mod…
A developer warns that prompting LLMs to perform legal or financial math is fundamentally broken due to the pattern-matching nature of token processing. Instead, they advocate for a deterministic exec…
A developer trained a 10.77M-parameter GPT on 4.45M characters of personal Google data from 15 years, achieving a loss of 1.60 after pretraining and supervised fine-tuning on 8,520 email reply pairs, …
Moa, a new AI tool, runs queries across Claude, GPT, and Gemini simultaneously, then uses a synthesis model to cross-examine their reasoning and produce a single verified answer. The tool offers 5 fre…
A developer built Docket, a control plane for running OpenClaw AI agents across projects, rewriting it from Bash to Python. The tool manages pods of agents with context isolation, spend caps, and appr…
A user reports that AI models differ drastically in how long they can run unattended on a host with sudo without causing system issues: Opus breaks hosts within 2 agent-hours, Gemini 3 Pro within 12, …
An agentic semantic layer is a metadata layer between AI agents and data warehouses that defines business metrics, enforces access control, and exposes governed query interfaces. Unlike traditional se…
A developer argues that AI agents need a semantic layer to produce consistent, governed data access. Without it, agents generate conflicting SQL queries, risk data leaks, and lack auditability. The so…
LHIC (Local Human Intent Controller), an open-source browser automation tool from developer Matt Cheng, introduces a Fast Path/Slow Path architecture that runs standard web flows in under 35ms with ze…
A language model assigns a probability to the next token given all previous tokens, a task that the chain rule shows is sufficient to capture any pattern in language. Claude Shannon demonstrated in 19…
RouterBase offers an OpenAI-compatible API that lets developers switch between 200+ AI models—including GPT, Claude, and Gemini—without rewriting their OpenAI SDK integration. By simply changing the b…
Agentty, a drop-in alternative to claude-code written in C++26, is now available as an 11.0 MB static binary with sub-millisecond startup. The tool supports multiple AI models including Claude, GPT, G…
A new interactive tool called Tokenspeed lets users experience LLM token-generation rates firsthand by rendering code, text, reasoning, and agent output at adjustable speeds from 5 to 800 tok/s. The t…
OpenAI has introduced GPT-Red, an automated red teaming system that uses self-play to enhance AI safety and alignment by stress-testing AI systems against vulnerabilities such as prompt injections and…
Stripe released a benchmark suite evaluating AI agents on end-to-end Stripe integrations, finding that agents struggle with validation and cross-system state tracking despite strong code generation. T…
A developer known as 'Dessinateur Projeteur' built a local-first engine called NexaVerify that runs code through 8 different AI models to catch hallucinations and logic errors in pull requests. The to…
A study of 44 language models found that 41% of the time, AI models choose the word 'serendipity' when asked to pick any word, revealing a strong tendency toward conformity. In seven out of 31 categor…
Researchers have developed a multi-feature fusion framework that combines static lexical representations (Word2Vec) with dynamic contextual representations (GPT) via a non-linear cross-attention mecha…
Researchers introduced a multi-feature fusion framework for non-invasive semantic reconstruction from brain recordings, achieving state-of-the-art performance by combining static lexical representatio…