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NVIDIA AI@NVIDIAAIAI score22AINVIDIA announced a broadcast covering what's new in CUDA 13.4, with the post linking to a video presentation. The post provides no specific features, figures, or details beyond the title.
Amazon Web Services@awscloudAI score23AINeovance receives about 15,000 patient calls a week, and AI now handles 18% of them. Patients avoid waiting in a queue, and pharmacists can focus more on patient care.
AIPreference Model is open-sourcing Karotte, the framework it uses to build reinforcement learning environments that resist reward hacking, including defenses like killing stray processes before grading and rejecting grader-crashing files. The framework has been hardened through more than a million evaluation runs and controlled red-teaming. The company focuses on machine learning engineering tasks for leading labs, and a16z says it is partnering with Preference Model and its founders, Jennifer Zhou and Ning Cao.
Claude@claudeaiAI score46AIAnthropic is halving the price of cache reads on Claude Sonnet 5.5 to $0.10 per million tokens. The company says this makes Sonnet 5.5 roughly 20% cheaper to run on most long-running work.
Claude@claudeaiAI score40AIAnthropic has released Claude Haiku 5.5, available now across all platforms including Amazon Web Services, Google Cloud, and Microsoft Azure. The post links to Anthropic's announcement page for further details.
NVIDIA AI Developer@NVIDIAAIDevAI score22AINVIDIA's developer account promoted a broadcast covering what's new in CUDA 13.4. The post provides only the release name and a link, so no specific features, benchmarks, or details are stated.
AIOpenAI unveiled an Intelligent UI update for ChatGPT that generates custom visual elements when they help answer a question. The update is powered by GPT-6, rolling out to paid users immediately and to free users the next day. A reviewer's test produced an annotated slug diagram, an apartment affordability calculator with sliders, and a clickable airplane seat explorer, and OpenAI says users can ask for fewer visual outputs.
AINvidia announced DGX Station for Windows, a desktop AI supercomputer built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with up to 748GB of unified memory, able to run models of up to about one trillion parameters locally. The machine offers up to 20 PFLOPS of AI compute and combines 252GB of HBM3e GPU memory with 496GB of LPDDR5X CPU memory. It is scheduled to go on sale in the fourth quarter of 2026.
Vercel Developers@vercel_devAI score23AIVercel says Glyph Cluster, listed as stealth/glyph-cluster, is now free on AI Gateway for a limited time while in stealth. Access is restricted to paid users, the model is positioned for coding and agentic knowledge work, and prompts may be used for model improvement.
Georgi Gerganov@ggerganovAI score44AIllama.cpp can distribute inference across heterogeneous devices through the ggml RPC backend, according to Georgi Gerganov. He says it is currently an advanced setting, but he expects it to become more accessible to regular users over time. A related post reports MiMo 2.6 Flash running across an RTX 6000 GPU and an M5 laptop over 10 GbE at about 40 tokens/sec.
AIGitHub reports that one in three pull requests now involves an AI agent, and that public secret exposures rise with the volume of pushes rather than from declining developer care. It introduces a ModernBERT-based classifier with Microsoft Applied Sciences that evaluates candidate secrets in under two milliseconds and could more than double the secrets prevented at push time. The feature is in private preview, with availability for GitHub Secret Protection customers later this month.
Liquid AI@liquidaiAI score25AILiquid AI and NVIDIA Robotics announced a collaboration around Liquid AI's models on NVIDIA hardware. The main post is brief and gives no further technical detail or figures.
Gergely Orosz@GergelyOroszAI score31AISam Newman argues the tech world misunderstands LLMs because they have no concept of causality, so "if I do A, B happens" reasoning is absent. He contends LLMs are not world models, unlike older world-model approaches that could in principle track cause and effect. He adds that people overestimate LLM capabilities because they seem smart, and that guardrails are unlikely to be the right long-term fix.
AMD@AMDAI score22AIRecent mimik tests of agentic workflows on AMD Ryzen AI Embedded X100 processors found about 80% of operations were CPU-bound, covering coordination, orchestration, scheduling and reporting. The post argues that CPUs play a major role in agentic AI rather than GPUs alone, and that heterogeneous compute matters for deploying it at the edge. A full interview with mimik founder and CEO Fayarjomandi is linked.
NVIDIA AI@NVIDIAAIAI score38AISynthID Detector is now publicly available, letting anyone check whether content is SynthID-watermarked. NVIDIA watermarks content generated by its Cosmos models on build.nvidia.com, so uploaded Cosmos output can be verified as coming from NVIDIA's models.
Google for Developers@googledevsAI score38AIAntigravity can build and test native Android apps by connecting the Stitch MCP and Android CLI. The agent imports UI designs, converts them into native Jetpack Compose components, validates them in an emulator, and runs the final build on a physical device.
elvis@omarsar0AI score22AIElvis Saravia reports that agent-to-agent communication with a personal agent, built on models like Opus 5.5, is already coordinating work faster and at higher quality than he can match. He describes progressing from individual Claude Code sessions to subagents, then a persistent team of eight specialized bots with his own orchestrator. He argues everyone should build a personalized agent orchestrator and says most apps like Code and Claude Desktop are behind.
Liquid AI@liquidaiAI score38AILiquid AI's Open d1 models run across NVIDIA DGX, RTX, and Jetson hardware, with day-one llama.cpp support for deployment anywhere. Measured one request at a time, the d1-3B model's single-question latency is 8 ms on an NVIDIA RTX 4090, 16 ms on Jetson AGX Thor, 26 ms on Jetson AGX Orin 64 GB, and 50 ms on Jetson Orin Nano.
Liquid AI@liquidaiAI score30AILiquid AI built 10 live-camera demos for its d1-3B model, ranging from gesture-controlled games to content moderation, each using one forward pass per frame. In collaboration with NVIDIA Robotics, the company also showed d1-3B navigating an environment in Isaac Sim, served on a Jetson in a hardware-in-the-loop setup.
Google@GoogleAI score44AIGoogle is launching its first TPUs into orbit to test how hardware holds up under solar events, cosmic rays, and radiation-induced bitflip errors. The post says these conditions can only be tested in space.
Google@GoogleAI score42AIGoogle launched its first test satellite carrying four TPUs into orbit last week as part of Project Suncatcher, a moonshot exploring whether machine learning infrastructure could one day operate in space. The test aims to determine whether Google's AI hardware can withstand the physical stress of spaceflight and the radiation and thermal extremes of orbit.
Gamma@GammaAppAI score43AIGamma announces Gamma 5, which it calls its biggest update, rebuilding its engine from the ground up. The release adds an agent for brainstorming, research, and editing, plus style control from described looks or visual inspiration. It also supports importing and exporting PowerPoints, PDFs, and company brand, with connections to Slack, Notion, Salesforce, Claude, and ChatGPT.
Google Cloud Tech@GoogleCloudTechAI score34AIGoogle DevRel's James O'Reilly explains how Antigravity Agent Plugins expose local MCP server tools to the model, either eagerly as top-level functions or lazily through a call_mcp_tool proxy. Eager loading, set via "eager": true in mcp_config.json, avoids the discovery turn but adds fixed per-turn token overhead that can degrade reasoning with 100+ tools. Lazy loading is the plugin default and keeps baseline token use low, at the cost of an extra proxy hop and a higher chance of JSON quoting errors.
AIDatabricks announced general availability of on-behalf-of-user (OBO) authorization for Databricks Apps, letting apps act with the signed-in user's identity so Unity Catalog enforces that user's row filters and column masks. Developers can request narrow API scopes such as sql:restricted-query, which allows only read-only SQL queries, while apps keep a dedicated service principal for app-owned operations.
Daniel Han@danielhanchenAI score48AIUnsloth now lets users train their own decision models locally on just 3GB of VRAM by fine-tuning Qwen, Gemma, and Llama with a Clef head. The post says this raises accuracy from 30% to as high as 78%, and the tool is available through Unsloth Desktop.
LangChain@LangChainAI score40AILangChain Academy has published a two-minute explainer on agent skills and how they protect an agent's context window. The post promotes its Deep Agents course on the LangChain Academy site.
Modal@modalAI score22AITypeSafeAI's Jev reached one trillion tokens served by the Sunday after its Thursday launch, with no signs of slowing, according to Modal. Modal presents the milestone as a case study of how the team scaled Jev on its platform.
Unsloth AI@UnslothAIAI score40AIUnsloth released an open-source method to fine-tune LLMs into decision models that run locally, lifting Qwen3.5 0.8B's aggregate accuracy from 20.7% to 74.3% across three decision benchmarks. The team used a Clef head with LoRA (r=64) for one epoch on just 4GB VRAM, with the approach applicable to models such as Qwen3.8 and Gemma 4. A guide and notebooks are available on the Unsloth documentation site and GitHub.
Santiago@svpinoAI score22AIA new model extracts values absent from a document by computing them from figures that are present, such as deriving a yearly product cost from a monthly price. Santiago says the video shows examples of inferring complex formulas. The background post describes this as Higher-Order Extraction, which deterministically computes needed numbers from raw page values.
AIGitHub is rolling out a fine-tuned, purpose-built model for secret detection that reads surrounding code to identify likely credentials, including passwords without recognizable token formats. Existing AI-detected Password alerts have been upgraded automatically, and AI-detected secrets in push protection is in private preview. New opt-in checks in push protection and the GitHub Copilot /security-review command will consume GitHub AI Credits.
Perplexity@perplexity_aiAI score36AIPerplexity's models embed images and rendered pages directly, so PDFs, slides, and scans can be searched without OCR. This preserves tables, figures, and layout that text extraction typically drops.
Microsoft Research@MSFTResearchAI score24AIMicrosoft Research introduced Agent Lightning, a tool that connects existing AI agents to reinforcement learning training. It aims to make agents easier to improve without rebuilding them, since their tools, context, and decision-making are typically managed by complex frameworks.
Jerry Liu@jerryjliu0AI score47AILlamaIndex has launched OpenDocRouter, a unified API that transcribes documents to markdown across frontier and open-weight models at cost plus a small transaction fee. The service handles rate limits, adds bounding boxes and layout as a service, and will benchmark new OCR models on ParseBench before adding them.
LlamaIndex 🦙@llama_indexAI score47AILlamaIndex announced OpenDocRouter, a single API that routes document parsing requests to any of 10 frontier and open-source models at launch, including Claude Opus 5.5, Gemini 3.8 Flash, GPT-6 Luna, MinerU2.5-Pro, and PaddleOCR-VL-1.6. Users can switch models in one line with the same request and markdown output, and each model is scored on ParseBench for quality and cost. Pricing is per-token, failed pages are not charged, and the service costs $0.86 to $48.82 per 1,000 pages depending on the model.
AIOpenAI's Codex 0.161.0 release makes GPT-6.1 Sol the default model in the bundled and Amazon Bedrock catalogs. It adds Amazon Bedrock support for multi-agent V2 and Ultra reasoning on compatible models, plus opt-in Daybreak routing enabled through --enable cli_daybreak or features.cli_daybreak=true.
AIMicrosoft Research Asia has open-sourced Agent Lightning v1.0, a roughly 3,500-line agentic RL framework that trains the same agent harness used in deployment. In an end-to-end coding agent pipeline, Qwen3.5-9B rose from 41.8% to 56.4% Pass@1 on SWE-bench Verified using about 6,000 training samples. The framework runs agents as standard Kubernetes jobs without paid commercial sandbox services.
Why it matters: The source shows how training with the deployed agent harness avoids rebuilding agents, and reports concrete SWE-bench Verified gains from about 6,000 samples.
AINVIDIA describes using digital twins and AI agents to validate changes to AI factory infrastructure, which combines GPUs, CPUs, switches, DPUs, and SuperNICs with schedulers, orchestration services, security controls, and a fast-changing software stack. The source frames the challenge as confirming that hardware, software, and policies work together for target workloads before deployment. The available excerpt does not give further detail on specific tools or results.
AIQlik built Qlik Answers, a natural-language assistant that returns sourced answers from knowledge bases, analytics apps, glossaries, and documents, using Amazon Bedrock for model access. The system routes each question through specialist agents and retrieval on Amazon OpenSearch Service, with Amazon Bedrock Guardrails applied to every request and response. Qlik serves more than 40,000 customers across regions, using Amazon SageMaker AI as an in-Region fallback when models are not yet available on Bedrock.
AIThe AWS Machine Learning Blog describes an automated remediation workflow that acts on AWS DevOps Agent investigation results. Amazon EventBridge triggers a Lambda durable function that uses Amazon Bedrock to propose fixes from an allowlist of tools, running read-only actions autonomously and pausing for human approval before infrastructure changes. The post demonstrates the flow with a Lambda function whose 3-second timeout is raised to 30 seconds after a single approval.
AIGitHub has made local sandboxing for GitHub Copilot generally available in GitHub Copilot CLI, the GitHub Copilot app, and VS Code sessions using Agent Host. Sandboxes restrict the filesystem, network, and credentials that Copilot-initiated tools and commands can access, based on developer or organization policies. The feature is powered by Microsoft eXecution Container (MXC), supports Windows, macOS, and Linux, and is included at no additional cost.