What's breaking now, across thousands of outlets.
Many MCP projects begin with an existing API and a simple request: expose one backend capability to an LLM client. The quickest route is to wrap an endpoint as a tool and connect it to Claude or another MCP host. Users can then ask for data in natural language instead of navigating a fixed interface. […]
We haven't written up this one. DevOps.com has the full story — the link below goes straight to it.
Bloomberg News Now -u.s. says strait of hormuz deal could come within days -oil drops on besant comments as markets rally -semiconductor stocks surge, palantir jumps 25% -white house hosts ai firms on…
Optimizing compilers miss profitable transformations when their enabling semantics are absent from the analyzed program representation.
Cuéllar is tasked with finding common ground with Trump's Republican administration, which blacklisted and ordered controls around Anthropic's AI this year.
OpenAI shared a big research update this week, announcing that an internal version of Astra, its next frontier model, created The post OpenAI’s Astra just proved 10 long-standing math and science…
Large language models can solve substantially harder reasoning problems with more inference-time compute. The term "test-time scaling," however, now covers diverse inference algorithms that extend…
Tool-Integrated Reasoning (TIR) enables LLMs to solve complex tasks through iterative tool interactions. However, existing reinforcement learning methods often rely on trajectory-level supervision…
