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Moonshot AI has just released Kimi K3.1 Pro, the first model in its K3.1 series. Kimi K3.1 Pro is a 3T-class open-weight* model with a 1-million-token context window. Moonshot team positions it against the strongest proprietary models on coding, agentic and knowledge benchmarks. For developers, it is cheaper API pricing than K3 and open weights
An AI search agent can work in a demo but fail under production workloads when retrieval returns incomplete evidence, retries repeat unsuccessful actions, or execution exceeds time and cost limits. TinyFish, which provides web infrastructure for AI agents, has published two technical guides addressing these challenges. The first defines a production agentic search architecture, while
TinyFish Breaks Down Agentic Search Architecture for Production AI Agents Read More »
Google Cloud has announced Agent Compute Engine, a compute service built specifically for AI agents. Google Agent Compute Engine gives each agent its own hardware-isolated microVM. The sandbox holds zero credentials. The service already powers Gemini as an agent for work tasks. Google unveiled it this week at AGNTCon + MCPCon. Customer preview is targeted
Google Cloud Launches Agent Compute Engine: A MicroVM per AI Agent Read More »
You.com has launched Inference Router, a managed API for running open-weight models in production. The You.com Inference Router is an OpenAI-compatible service that routes requests across 12 live models. It bundles a 99.9% minimum uptime SLA and zero data retention (ZDR). It adds 100% US hosting and server-side web search. It is pay-as-you-go, with no
You.com Launches Inference Router: 12 Open-Weight Models With 99.9% Uptime SLA Read More »
Liquid AI just announced Liquid RIPL, short for Real-time Inference Pipeline. RIPL is a low-latency engine that serves Liquid Foundation Models (LFMs) inside a live request path. It returns complete generated responses end-to-end in under 50 ms. It also claims that latency holds while traffic arrives continuously at peak load. For developers, the message is
Liquid AI Launches RIPL, a Real-Time Inference Engine for Sub-50 ms LFMs Read More »
Cohere AI has released Rerank 5, a new reranker family in Pro and Fast tiers. Cohere Rerank 5 is a retrieval model that reorders search results before they reach an LLM. It adds 2 developer features: Context Focus, which returns relevant passages inside each document, and calibrated relevance scores. For RAG and agent builders, the
Cohere Releases Rerank 5 With Passage-Level Context Focus and Calibrated Scores Read More »
IBM has released Granite Speech 5.0 2B, a new open speech-language model for transcription and translation. Granite Speech 5.0 2B is a 2B-parameter model from IBM that turns speech into text in 6 languages. It ships under Apache 2.0. IBM also updated 2 existing models: the edge-focused Turbo CTC and the diarization-focused 4.1 2B Plus.
IBM AI Releases Granite Speech 5.0 2B for Multilingual Transcription and Translation Read More »
Perplexity, along with NVIDIA team, has introduced JOLT, a new post-training method for language models. JOLT stands for Joint On-policy Learning and Teaching. It trains a single model in 2 roles. The teacher sees privileged information; the student does not. The key change is that the teacher is trained too, so its feedback stays usable.
In this tutorial, we implement on Nsight Python, NVIDIA’s open-source Python interface to its kernel profilers. Instead of running a script under the Nsight Compute command line and digging through a report afterward, we mark the code we care about with nsight.annotate, decorate a benchmark function with nsight.analyze.kernel, and get back a pandas DataFrame of
NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels Read More »
Recursive Superintelligence has released Flint, its first model. The Recursive Flint local coding model is a mixture-of-experts (MoE) model with 40B total and 2.5B active parameters. Recursive team states that its Eureka Machine, an automated research system, helped build nearly every part of the stack. The weights are on Hugging Face under Apache 2.0. TL;DR
