- News
Your Privacy Policy Just Became an AI Disclosure Document
Connecticut's CTDPA LLM disclosure rule takes effect today. Every business using customer data to train AI models must update their privacy policies.
- Blog
Structured Outputs: What Engineers Actually Found
Honest look at LLM structured outputs in production. What works, what breaks, and what teams pair it with after six months of real use.
- Blog
Fine-Tuning Reality Check: What Practitioners Actually Found
Honest practitioner review of LLM fine-tuning in production. What worked, what broke, real costs, and when fine-tuning actually beats prompting.
- Blog
Function Calling: What Engineers Actually Found
Real production experience with LLM function calling, drawn from Reddit, HN, and practitioner blogs. Latency, costs, edge cases, and what actually works.
- Blog
Prompt Engineering 2026: What Practitioners Actually Found
What prompt engineering actually looks like in 2026, from caching wins to context rot, and which techniques survived contact with production.
- Blog
LLM Context Limits: What Engineers Actually Found
Developers share what LLM context window limits mean in production, including surprises, workarounds, and which tasks break first.
- News
Claude Fable 5: Anthropic's Most Powerful Model Goes Public
Anthropic launched Claude Fable 5 on June 9, the first Mythos-class model available publicly. Free for enterprise plans until June 22, then credits-only.
- News
GPT-5.5: OpenAI's New Model Built for Autonomous Work
OpenAI's GPT-5.5 launched today for paid subscribers. Natively omnimodal, built for agentic workflows, and priced at $5/$30 per million tokens.
- News
Google's 6x AI Memory Trick Is Coming to Every LLM
Google's TurboQuant cuts LLM memory use by 6x with zero accuracy loss. It works on any model and presents at ICLR 2026 on April 25.
- News
OpenAI's 'Spud' Model Is Days Away. It's Not Incremental.
Sam Altman says OpenAI's new model can 'really accelerate the economy.' Pre-training completed March 24. Release expected within weeks.
- News
Mistral Small 4 Unifies Reasoning and Vision
Mistral's 119B MoE model consolidates instruct, reasoning, and multimodal into one Apache 2.0 release. A single model now does what required three.
