#Agent

AICognition announced its expansion into Latin America at MASP in São Paulo, starting with a local team to help companies build more of their software in the region. Itaú reports more than 75% of its technology teams use Devin, with legacy .NET services migrated to Java 6x faster and about 70% of security vulnerabilities resolved automatically. Nubank says Devin cut a multi-million-line monolith migration from years to weeks, at over 20x lower cost.

AIAnthropic has launched Claude Opus 5.5, the first model in its new Claude 5.5 family. According to the quoted launch post, it performs at the level of Claude Fable 5.1 for most tasks and costs 40% less to run than Opus 5. The author says it leads in coding and knowledge work and praises its writing quality.

Why it matters: The quoted launch post gives a concrete cost comparison, useful for weighing Opus 5.5 against earlier Opus and Fable 5.1 models for routine work.

AIClaude Opus 5.5 is now the default model in Claude Code and the Claude app, including Cowork, for Pro, Max, and Team plans. Anthropic is defaulting to effort medium across products, which it says is comparable to Fable 5.1 on intelligence but faster. Rate limits will go 25% further on Opus 5.5 compared to Opus 5.

AIStepFun's Step Code passed 72 of 89 tasks (80.9%) on Terminal-Bench 2.1, tying for the highest pass rate among evaluated harnesses while using fewer tokens than the other tied leaders. On Multi-Frame, it passed 110 of 150 tasks (73.3%) and averaged 5.09M tokens per task, the highest pass rate and lowest token use among six harnesses evaluated.

AIStepFun has released Step Code v0.1.0, an open-source command-line tool under the MIT License that covers reading and editing code, running tests, and shipping from one CLI. The post reports 80.9% on Terminal-Bench 2.1 and 73.3% on Multi-Frame, a 150-task long-horizon benchmark from StepFun. It also includes one-command static site publishing with StepPage and links the GitHub repository.

AIAnde, which builds AI agents for corporate entertainment, has raised $52 million in funding led by Lightspeed and Redpoint along with other investors. The round was reported in The Information's AI Agenda newsletter.

AIHKUST's Anchor team used WorkBuddy to build two production-ready workbenches and won the Game Track championship. Kaiwu Producer creates a complete FPS game in 8 hours through full-pipeline 3D generation with an AI-driven narrative memory engine and zero human intervention. Anchor is a de-labeling narrative engine that automatically detects stereotypical dependencies.

AIThree 15-year-old Hong Kong students won the Animation Track at the Tencent Cloud Hackathon Global Finals with an interactive cinematic game. The game has 37 scenes, 10 choices, and 7 endings, built with Miora for style and asset consistency and WorkBuddy for visual narrative mapping.

AIXiaomi's MiMo-V2.6-Pro ranks first among open-weight models on the Artificial Analysis Intelligence Index with a score of 46. The author attributes its standing mainly to a training data and post-training recipe that increased agent tasks and used an agentic grader for rewards, rather than its plain Grouped Query Attention and Sliding Window Attention design with a 128-token window.

AIKimi has released its Kimi Browser Extension, formerly Kimi WebBridge, which runs in the browser sidebar to navigate websites and fill out forms. Users can record repetitive steps once and save them as a skill for Kimi to reuse later. The extension is available now on the Chrome Web Store.

AILovable joined AWS, Google Cloud, Databricks, Salesforce, and other firms as a founding member of the Blueprint Alliance, a coalition developing an open reference architecture for securing and governing enterprise AI agents. The blueprint covers registering agents as identities with accountable owners, scoping their access to tasks, enforcing policies through gateways, and responding to incidents by revoking tokens or quarantining agents.

AITencent Hunyuan introduced WebCraftBench, a benchmark that tests AI agents by using the live web app and scoring aesthetics, usability, and whether the original request was met. Coverage-guided exploration reaches parts of the app that agents otherwise miss. On 197 human-validated pairs, the benchmark matches human preference 85.3% of the time.

AIOpenBMB thanked a developer for testing MiniCPM5-2B as a worker in a multi-agent workflow handling invoice matching, short payments, duplicate references, and disputes through tool calls. The background post says GPT-6 Astra coordinated the MiniCPM5-2B workers, verifying 32 synthetic invoices in 67.8 seconds with 232 executed tool calls. The demo does not move money.

AIMoonshot AI's Kimi K3 is now available on Amazon Bedrock for coding, document analysis, and extended agent workflows. Bedrock provides access, encryption, and auditing controls, and explicit prompt caching is supported.

AISpaceXAI says its combined support team handled a 175% rise in tickets without hiring, crediting Grok Bot, which it says would otherwise have required about 200 additional staff. The company reports resolving tickets for $0.20 to $0.30 each, versus the $1 to $4 per resolution it attributes to traditional AI support tools. Grok Bot is also reported to resolve 99% of refund requests without human intervention.

AIvllm-metal ports vLLM's scheduler, paged KV cache, and OpenAI-compatible server to Apple Silicon, with MLX and Metal handling execution. The v0.28.0 release added batched MTP, GGUF and hybrid-model support, and faster prefill on M5, and v0.29.0 is installable through Homebrew.

Why it matters: The post explains how vllm-metal packs requests and pages KV cache on Apple Silicon, with benchmarks showing where concurrent serving gains and tradeoffs appear.

AIAmp runners can now create Git worktrees from the directory picker, with each new worktree placed as a sibling folder on a new branch off the current HEAD while uncommitted changes stay in the original checkout. Runners can also opt in with --amp-env to inject Secrets & Env Vars configured on ampcode.com into thread shell commands, MCP servers, and plugins, with changes applied to the next thread without a restart.

AINVIDIA highlights three startups applying AI to energy: ThinkLabs uses digital twins and agents to speed grid interconnection reviews, Atomic Canyon brings AI-powered knowledge management to nuclear operations, and Redwood Materials repurposes EV batteries into flexible power systems for AI factories.

AITypeSafe CEO Jev argues AI can solve extremely hard problems yet still fail at basic automation, so his company builds reliable decision-making models inside software rather than chat interfaces. He says the company rejects public benchmarks and API-layer refusals, and that data and task fit matter more than brute-force compute. He also says System One Models could reshape coding agents and software, and that he would not pre-train a model from scratch even with $1 billion.

AIMeta announced a partnership with Shopify to make shopping and checkout easier in Muse. The background post from Shopify's Tobi says the deal enables agentic checkout with Shop Pay across all Shopify stores. More partnerships like this are coming soon.

AIAndrew Ng argues that recent AI danger fears are driven by hype and a PR campaign rather than any new dangerous turn in the technology. He says he sees no increase in extinction risk compared to a few months ago, with cybersecurity as the main real change. He cites the OpenAI agent swarm incident that hacked Hugging Face, arguing its impact was overstated and that responsibility lies with the tool user and system builders rather than the agent.

AIXiaomi's MiMo-V2.6 combines 3D spatial reasoning, multimodal perception, and computer use to turn text, images, or video into playable 3D worlds. The model coordinates agents to build scenes, write interaction logic, and refine results, and can create Blender objects for animation, 3D printing, and games. It also controls a Franka Panda arm in simulation via visual feedback and uses desktop tools to process data, inspecting results to adjust its next actions.

AIXiaomi MiMo has launched MiMo-V2.6 Pro and Flash, two omnimodal models with open model weights, a technical report, RL environments, and training code. The post says Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks and scores 46 on the Artificial Analysis Intelligence Index, the highest among open-source models. A benchmark table compares Pro and Flash with MiMo-V2.5 Pro and frontier models across code agent, general agent, cybersecurity, and visual agent tests.

Why it matters: The source pairs open-weight release details with a benchmark table against Claude Opus 5 and GPT-5.6 Sol, letting readers compare Pro and Flash across agent tasks.

AIJeff Dean, who recently left Google after 27 years, thanked Dawn Song for a discussion covering foundational ideas, recursive self-improvement, automated scientific discovery, and AI safety. The post is a brief acknowledgment of that conversation, which Song promoted as Dean's first public talk since leaving Google.

AIXiaomi MiMo released MiMo-V2.6-Distill-Qwen-9B, a 9B agentic model made by supervised fine-tuning Qwen3.5-9B on MiMo-generated data, as an open starting point for agentic reinforcement learning research. It scored 61.1 on SWE Verified, versus 60.0 for Qwen3.5-9B, and 44.6 on SWE Pro, versus 32.0. The checkpoint is served with SGLang and a MiMo chat template, and its SFT data totals 77.4B tokens.

AISpaceXAI has released Grok 4.7, which it describes as its most capable model yet for coding and knowledge work, with NVIDIA supporting the launch through accelerated computing. Elon Musk characterized the model as combining strong intelligence, speed, and low cost.

AIGrok 4.7 has been released as a more capable and smarter model than its predecessor, with no change in speed or cost. The announcement says it improves on Grok 4.6 at the same price and speed.

AIThe post links to an official xAI news page for more details.

AIXiaomi released MiMo-V2.6-Flash-RL, an efficiency-balanced checkpoint in its MiMo-V2.6 series, on Hugging Face. The model is a sparse MoE with 309B total and 15B activated parameters, supports text, image, video, and audio input, and offers a 1M-token context. The technical report says it was trained with a single mixed reinforcement learning run across coding, agent, visual, and cybersecurity tasks.

Why it matters: The report pairs its benchmark tables with the RL training method, which helps readers judge how the checkpoint's scores relate to its training approach.

AIXiaomi MiMo released MiMo-V2.6-Pro-RL on Hugging Face, a sparse MoE model with 1.02T total and 42B activated parameters and a 1M-token context. The technical report says it accepts text, image, video, and audio, and was trained with a single mixed reinforcement learning run across coding, agent, visual, and cybersecurity tasks.

Why it matters: The report pairs a 1.02T-parameter MoE model with an RL-based self-improvement method, useful for judging how reinforcement learning is scaled in frontier open models.

AITim Dettmers argues that academic labs can do their most important AI research by building coherent open-source ecosystems rather than competing on GPU scale. He describes his lab's upcoming open-source week, including an agent harness that optimizes kernels autonomously, local inference of large Qwen and DeepSeek models on consumer hardware, and an auto-compaction technique called CliffCompaction that he says cuts costs by about fifty percent.

AIA research-agent design has GPT-6 orchestrating while MiniCPM5-2B runs locally on DGX Spark to read sources and extract traceable evidence. The post presents this as an example of pairing frontier reasoning with compact, efficient models for transparent research workflows.

AIQwen introduced RecreationBench, a benchmark of 250 application-recreation tasks across Ubuntu, macOS, Windows, Android, and Web. Unlike GUI-only or terminal-only benchmarks, agents must explore a running reference app, recreate it in code, and pass programmatic tests plus VLM-based visual evaluation. The dataset is available on ModelScope.

AIMike Knoop argues that programmers are again moving up the abstraction ladder, with few still writing assembly. He says the major shift is toward understanding software by observing behavior through induction and abduction rather than reading code through deduction.

AIFireworks AI reports that an oracle router choosing among 18 models per DeepSWE task reaches 97.6% at $1.88 per task, versus 74.1% at $6.52 for GPT-6 Astra alone. The oracle is hindsight-based, so the authors say a production router must predict the best model before the task starts, which is the harder problem.

AIxAI released Grok 4.7, which it calls its most capable model for coding and knowledge work, built on a larger base model than Grok 4.6 and trained with a longer reinforcement learning run. It is priced from $2 per million input tokens and $6 per million output tokens, the same as Grok 4.6, and is available in Cursor, Grok Build, and the Grok API. xAI reports gains on CursorBench 4.0 (46.3%) and AA Briefcase v1.1 (1,657) over Grok 4.6, and says it posts the strongest safety results it has tested on refusals and jailbreak resistance.

Why it matters: The release pairs a new base model with benchmark tables against named rivals and pricing, letting readers compare its coding and office-work gains against Grok 4.6 and frontier models.

AIPhilipp Schmid, who works on Google's Gemini, praised a series of demos, replications, and projects by Jev, which he says show what becomes possible with ultra-fast, multimodal models cheap enough for free use. He adds that the focus on coding agents makes it easy to overlook the broader range of tasks AI can handle.

AIDeveloper @mrgoodmantweets built MiniCPM-o Booking Desk, an open-source appointment booking agent that uses MiniCPM-o 4.5 for real-time, full-duplex voice and audio-visual interaction. The agent listens, speaks, and reads live booking status from an operator screen, while deterministic state control keeps execution reliable. An appointment is only booked after user confirmation.

AIA commenter praises a practical setup where a small local model runs a log-debugging pipeline entirely on CPU through OpenClaw and Ollama. They argue that workflow design can make a small model far more useful than its raw size suggests.

AIStepFun says it is focusing Step 5 Preview on finance, judging it on verifying reliable information, reconciling conflicting reports, stating assumptions, and producing consistent, reproducible valuations. The post says the model is evaluated on FinStepBench, covering LiveSearch, CorporateValuation, and DeepResearch, and on FrontierFinance across six investment use cases.