OpenAI flipped the switch on GPT-5.6 yesterday.
OpenAI's GPT-5.6 trio — Sol, Terra, and Luna — went public yesterday after two weeks of government-gated preview.
Sysdig just published the first documented case of ransomware run entirely by an LLM agent. No human at the keyboard.
Frontier models have been getting smarter for years.
Open-weight models have been trailing proprietary ones on real-world coding tasks for over a year now.
Google's Gemini 3.5 Flash — the company's budget-tier model, priced at $1.
Google's annual developer keynote kicks off today at Shoreline Amphitheatre, and for the first time in years, the model announcement might not be the main...
NVIDIA quietly shipped one of the most interesting open model architectures I've seen this year, and most of the coverage buried the lede.
Most open models fight for the same throne: highest MMLU score, best SWE-Bench pass rate, flashiest reasoning demo.
Most open model launches follow a predictable script: bigger parameters, higher benchmark scores, a claim about beating GPT-something on MMLU.
Prompt injection has always been a conversation-scoped problem. Slip something past the guardrails, get one bad response, close the window, move on.
Yesterday Cloudflare posted $639.
Apache Flink Agents hit 0.2.
Somewhere between your third GPU cluster purchase order and your fifth HBM allocation call, Intel quietly raised server CPU prices again.
OpenAI shipped GPT-5.5 yesterday, and if you just glanced at the headline, you'd be forgiven for yawning.
Here's the dirty secret about shipping AI agents in production: the model is the easy part.
Sixteen months ago, connecting an AI agent to your company's tools meant writing bespoke integrations for every provider. OpenAI had function calling.
Somewhere between "cool demo" and "existential threat to grad students," Sakana AI quietly shipped something that deserves more attention...
We spent three years panicking about GPU availability.
Four months ago, OWASP published the Top 10 for Agentic Applications.