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Mike Krieger@mikeykAI score34AIMike Krieger, owner of Anthropic-linked account context, asked Claude to build an interactive model of the human brain tracing what happens when someone hears "could you pass the salt?" He reports that Claude reasoned through the anatomy on its own without external assets, and the post links to the resulting artifact on claude.ai.
Mike Krieger@mikeykAI score36AIThe model keeps working until it reaches a given target and says so when it is stuck, rather than reporting false success. It is priced at $10/$50, the same as Fable 5, and cache reads on the API are cut 75% to $0.25/MTok.
Google AI Studio@GoogleAIStudioPickAI score75AIGoogle AI Studio says agentic video understanding is now available across Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite via the Gemini API. The company reports cost reductions of up to 66%, token consumption reductions of up to 88% and accuracy gains of up to 7% on standard video benchmarks. Developers enable it by setting processing to "agentic" in the API configuration, at standard token pricing.
Why it matters: The source gives concrete cost and token figures and explains how the agentic loop replaces fixed-rate frame ingestion, helping developers weigh it against their current video pipelines.
Google AI Developers@googleaidevsAI score44AIGemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite now support agentic video understanding. The feature is available today for video uploads and YouTube videos through the Gemini API in Google AI Studio and Gemini Enterprise Agent Platform.
Google AI Developers@googleaidevsAI score34AIGoogle's Gemini 3.7 Flash accurately counts every clap in a video by using a new agentic video understanding capability that automatically adapts its processing speed. Static video processing defaults to 1 FPS, which can miss split-second movements or confuse claps with snaps and clicks.
Google AI Studio@GoogleAIStudioAI score62AIin which the model decides what to watch, at what speed, and through which modality. It fetches only the moments and signals it needs instead of ingesting media at a fixed frame rate. The post says this cuts costs by up to 66% and token consumption by up to 88% while boosting accuracy, and it is available now via the Gemini API and in AI Studio.
World Labs@theworldlabsAI score38AIWorld Labs says its Atlas model reconstructs a space from just a few photos and generates photorealistic RGB and depth data that a robot's sensors would observe on any trajectory. The company says this lets robots be trained and tested in far more spaces, since previously scanning such spaces required expensive equipment and time-consuming capture.
World Labs@theworldlabsAI score34AIWorld Labs says its Atlas model understands both the spatial structure of the world and how it evolves over time. The company says this lets ordinary cameras be turned into a "bullet time" multiview capture studio that records dynamic moments frozen in time.
World Labs@theworldlabsAI score35AIWorld Labs says its Atlas model places multiple input views within a spatial context to generate image and video frames with precise control. The company demonstrates a hand-designed camera trajectory that produces a one-minute video at 1440p resolution from seven reference images.
Waymo@WaymoAI score39AIWaymo is opening its robotaxi service in Denver, San Diego, and Tampa, with riders able to download the Waymo app to be among the first to ride. The post directs readers to a Waymo blog post for more details.
Z.ai@Zai_orgAI score23AIZhipu's Z.ai marks the first anniversary of the GLM Coding Plan by giving every current subscriber a Reset Card. The card refills both the weekly and 5-hour quotas, and usage can be checked on the personal or team plan pages.
Georgi Gerganov@ggerganovAI score30AIThe Llama app for Mac now includes a simple request builder for llama.cpp's REST API. The feature lets users construct requests to the llama.cpp server directly within the app.
AIManus has formally resumed independent operations, with its founding team continuing to lead the company. The company says it will keep pushing general AI agent capabilities and deepen integration into users' everyday workflows, though it gives no specific product details or timeline.
AIGoogle released agentic video understanding for Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash-Lite across the Interactions and GenerateContent APIs. The model dynamically navigates video timelines, requesting transcripts, frames, or audio tracks on demand. The source says this approach uses up to 88% fewer tokens for long-form content than static processing.
Why it matters: The changelog names the affected models and API surfaces, and states a token-use figure that helps developers judge the cost of long video workloads.
AIOpenClaw 2.0 is an open-source, self-hosted AI agent harness whose update simplifies installation, rebuilds the browser interface, and adds shared cloud sessions for multiple users. The article says the patch notes state shared session controls are not a security boundary, secret store values are not encrypted at rest, and sandboxing is off by default.
AILiquid AI and Artificial Analysis released Pipette, an open-source benchmark platform for foundation models on edge devices, covering over 1,000 configurations across 30+ models. It measures five on-device metrics, including throughput, latency, context scaling, and memory use, on macOS, Windows, iOS, and Android. Liquid AI also said its updated LFM2.5 Q4_0 checkpoints, trained with Quantization-Aware Distillation, retain roughly 97% of BF16 baseline performance and suffer 73.4% less quality loss than standard post-training Q4_0 quantization.
AIAmazon Science explains Verus, an open-source automated program verifier for Rust that checks code against formal specifications for all possible inputs. Developers write specifications and proofs directly in Rust source using Rust-like syntax, and Verus returns feedback in under a second. Amazon says it has used Verus to prove the correctness of key primitives in the Nitro Isolation Engine and other infrastructure.
AIFireworks AI announced general availability of its Training API, which connects a customer's Python training loop to managed distributed training and rollout infrastructure. Serverless training bills per token for LoRA adapters, while Dedicated training provides per-GPU-hour capacity for full-parameter runs and larger models. The post cites customer results, including Heidi moving a clinical scribe from proof of concept to production in four weeks with 3.5x lower latency.
AIOpenClaw 2.0 (v2026.8.1) can be installed via npm and linked to Google's Gemini 3.8 Flash using a Gemini API key, with Google Search grounding enabled by default. The guide covers five CLI steps, from installation and authentication to starting the local gateway and Control UI. Gemini 3.8 Flash is described as up to 300 tokens per second and suited to coding and agent tasks.
AIIBM's Christian Zoellin and Christian Jacobi discuss a next-generation processor that supports both z/Architecture and Arm instruction sets at Hot Chips 2026. Zoellin says separate decoders sit in a shared decode pipeline, while the caches, TLBs, and register files are reused, and endianness is handled in the load-store unit. Jacobi explains that Arm support aims to bring its software ecosystem to mainframe workloads, and that Spyre's memory bandwidth needs grew as use cases shifted toward agentic AI.
AIXCENA and Samsung's MX1 is a PCIe add-in card that hosts up to 2 TB of DDR5 memory over a PCIe 6/CXL 3.2 x8 interface, providing 128 GB/s of host bandwidth. The Samsung 4nm chip integrates 3,072 in-order RISC-V cores running at 1.1 GHz and draws 40 W, with downstream PCIe 6 lanes for SSDs that can be exposed as memory.
AIFunAudioLLM has released Fun-ASR-Nano-2512-vllm, a vLLM-native packaging of the official Fun-ASR-Nano-2512 checkpoint, with weights bitwise equal to the source and no new LoRA weights. The validated path runs on vLLM 0.27.1 with float32 through an OpenAI-compatible transcription endpoint, tested on one NVIDIA H100 80 GB GPU. The source-licensed model is Apache License 2.0, and other vLLM versions, accelerators, and quantizations require separate validation.
Midjourney@midjourneyAI score23AIMidjourney has updated its V8.2 edit model to improve image quality. Users who hit problems in the past 24 hours are invited to retry and keep sending feedback, with more updates promised soon.
Thomas Dohmke@ashtomAI score25AIEntire positions itself as a unified API for code and coding sessions, working across any agent, repo, and session as a coding system of record. The post frames this as a single interface layer for coding work, comparing it to unified-interface products in payments, models, and banking.
Tinker@tinkerapiAI score52AITinker announces that Z.ai's GLM-5.3 is now available on its platform with a 256k context window. Tinker says it is currently the strongest open-weights model on coding evals including Terminal-Bench 3.0 and DeepSWE 1.1, built on the same base as GLM-5.2 with scaled-up post-training.
Unsloth AI@UnslothAIPickAI score70AIUnsloth AI published a guide for running GLM-5.3 locally using quantized GGUF weights. The 2-bit version is reduced from 1.51TB to 239GB and retains about 81% accuracy, and it can run on a 256GB Mac or RAM/VRAM setups.
Why it matters: The guide shows which quantization levels fit local memory budgets and how much accuracy each costs, useful for planning a local deployment.
LM Studio@lmstudioAI score38AILM Studio says Zhipu's GLM-5.3 is now available in its Bionic agent, hosted in the US with zero data retention. The launch offer is 50% off until Monday. The post builds on Z.ai's announcement that GLM-5.3 is now open-weight for agentic coding and cyber defense.
LMSYS Org@lmsysorgAI score42AISGLang offers day-0 support for GLM-5.3 on NVIDIA Blackwell and Hopper and AMD MI300X, MI325X, and MI355X GPUs, using the same runtime and flags. SGLang is also the rollout engine in Slime, the framework Zhipu used to post-train GLM-5.3, so the runtime that generated the RL trajectories now serves the model.
Vercel@vercelAI score34AIVercel says users can ship a new eve agent in one minute by adding a prompt, picking models and MCP connections, and deploying at The deployed agent is described as production-ready for chat and backed by a Git repository the user owns.
RadixArk@radixarkAI score40AIRadixArk has published an experimental NVFP4 checkpoint for Zhipu's GLM-5.3 on Hugging Face, and says Miles support for GLM-5.3 is on the way. The company says GLM-5.2 is already serving hundreds of thousands of people in production with its partners on SGLang. Background from SGLang reports day-0 serving support for GLM-5.3, with 537.6 tok/s/user on NVFP4 and 413 tok/s/user on FP8 at BS=1 with TP8 on 8x B300.
Vercel@vercelAI score22AIOra runs agents on live websites and traces each step, showing teams which step stalled during a signup, integration, or payment. The platform is built on Vercel, and Ora's own agents run on eve.
LM Studio@lmstudioAI score36AILM Studio introduced Auto Review, which auto-approves shell tool requests using AST parsing, command matching, and a reviewer subagent. In the team's internal use, about 82% of commands were approved before reaching LLM review.
Midjourney@midjourneyAI score42AIMidjourney is starting tests of its first V8.2 edit model, which supports instruction-based editing and generating images from up to 4 reference images. The model also offers brush-based inpainting and outpainting, and works with personalization, moodboards, and srefs.
RadixArk@radixarkAI score34AIRadixArk introduced LoRA SFT in Miles-diffusion for fast, targeted post-training of diffusion models. The company trained a rank-64 LoRA adapter for MiniMax H3 to improve physical realism, using 254 curated training windows and under 3 hours on 8 GPUs. The adapter can be exported to safetensors and served directly with SGLang without retraining the full model.
AIAnthropic is introducing the Model Hardware Standard (MHS), a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS began as part of a beneficial deployments project with HHMI Janelia Research Campus and is evolving into a wider industry effort. It is now in research preview with select partners.
Noah Zweben@noahzwebenAI score36AIAnthropic says on-call is the most popular use case for Claude Tag, which it uses internally to handle alerts. The linked post explains how to set it up so Claude can resolve issues that would otherwise wake engineers at 3am.
AIAugment Code introduces Cosmos Advisor, an expert that can answer product questions, configure agents, and deploy automations from a single conversation. The company says a company-specific agent can be set up in about ten minutes, without a handoff to an implementation team. Advisor draws on the current Cosmos knowledgebase and reusable expert designs, such as incident response, and it works within Object-Level Access Control.
Waymo@WaymoAI score34AIWaymo introduced the Ojai, a new vehicle that will run the same Waymo Driver autonomous system. The post gives no further details on specifications, deployment timing, or availability.
AIAnthropic is building the Model Hardware Standard (MHS), a common way for AI models to connect to lab and manufacturing equipment and operate it with safety limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus and is launching as a research preview with partners across science, robotics, and manufacturing.
Why it matters: The source describes a standard for connecting AI models to lab and manufacturing hardware, which matters for anyone building automated experimentation workflows.
Gemini Notebook@Gemini_NotebookAI score34AIGemini Notebook is starting with books as its source type, with plans to soon support third-party subscriptions, business research reports, and textbooks. The post invites users to share which books they discover.