A developer argues that as AI becomes capable of generating code, marketing strategies, and even legal advice, the value of human knowledge shifts from memorization to critical thinking, creativity, a…
TormentNexus' AI skill registry has surpassed 5,776 reusable modules, with top categories including code review, Terraform generation, and database migrations. The code review skill family alone compr…
A new study published in PNAS found that AI language models are far more susceptible to subtle nudges in choice architecture than humans, overreacting to default options and highlighted choices. Resea…
OpenAI launched GPT-Live-1 on July 8, a full-duplex voice model that listens and speaks simultaneously, using a two-layer architecture with a continuous interaction layer and a delegation layer that h…
A Mount Sinai research team led by Mahmud Omar and Eyal Klang found that OpenAI's GPT-5 amplifies sociodemographic biases in clinical decision-making, assigning higher urgency and less advanced testin…
A developer built a production AI scoring pipeline that processes over 10,000 job listings daily using GPT-4. The system uses function calling to enforce structured output, a pre-filtering stage to el…
Researchers have identified a 'Vestigial Heuristic' in large language models, a bias against token repetition that leaves a unique signature in AI-generated text. A new metric, Telescope Perplexity, l…
A computer engineer argues that the true complexity of AI lies not in model architecture but in the underlying data pipeline, storage, and compute infrastructure, which consumes 80% of time and 90% of…
The AI market is projected to grow from $189 billion to $4.8 trillion by 2033, but the future of AI lies in small, energy-efficient models rather than power-hungry large language models like GPT-4, wh…
A developer built a production-grade AI pipeline using OpenAI's function calling and Batch API to score over 10,000 job listings daily. By switching from real-time to batch processing, the pipeline re…
A developer published a visual and practical guide to large language models, explaining that they are computer programs trained on massive text datasets to predict the next word. The guide covers how …
Developers building real-time voice AI applications must abandon synchronous tool loops to achieve sub-second latency, according to engineering patterns from Ello and Khan Academy. Streaming action in…
Andy Masley argues that debates over AI's environmental impact are often rooted in normative disagreements, not factual ones, and that political liberalism offers a better framework than environmental…
OpenAI has introduced GPT-5.6 with three model tiers—Soul, Terra, and Luna—optimized for intelligence, balanced performance, and speed respectively. Soul handles complex reasoning at higher cost, Terr…
A developer argues that most AI prompts shared online for developers fail because they lack context anchoring, output structure, and customizable variables. The developer provides a reusable prompt te…
A developer has released Egregor v1.1, a desktop application that orchestrates up to 10 frontier AI models simultaneously into a collaborative intelligence system called The Consilium. The tool ensure…
A developer building Mano-AFK, an autonomous application builder, found that the key bottleneck preventing AI agents from running complete business workflows is sustaining a long decision loop with ve…
As AI inference costs plummet—from $30 per million tokens in early 2023 to under $1 today—researchers at UC Berkeley led by Aditya G. Parameswaran argue that data systems must be redesigned for, of, a…
Researchers built an archive of 70 preregistered survey experiments and found that GPT-4 can predict the outcomes of social science experiments with accuracy similar to pooled human forecasts, though …
AI inference costs have plummeted for commodity models, with GPT-4-class output dropping from $20 to $0.40 per million tokens since 2022, while frontier model prices have surged, creating a split mark…