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Claude@claudeaiOfficialAI 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@claudeaiOfficialAI 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.
Claude@claudeaiOfficialAI score26AIAnthropic says Claude Haiku 5.5 is especially good value for tasks under 100,000 tokens, which made up around 90% of requests to its previous Haiku model. The post points to cost-effectiveness for the typical workload rather than providing pricing or benchmark figures.
Claude@claudeaiOfficialAI score36AIAnthropic says Claude Haiku 5.5 shows major improvements across almost all of its alignment evaluations compared with Claude Haiku 4.5. The post reports far fewer instances of misaligned behavior in the new model.
Claude@claudeaiOfficialAI score38AIAnthropic's Haiku 5.5 is built for high-volume, cost-sensitive work such as summaries and classification. It can serve as a subagent alongside Claude Opus 5.5 and Sonnet 5.5 on coding tasks. It is also fast enough for live customer support and browser use.
Claude@claudeaiOfficialAI score44AIAnthropic says Claude Haiku 5.5 is a significant step up over Haiku 4.5 across coding, computer use, and knowledge work. The post gives no benchmark scores, pricing, or availability details.
Claude@claudeaiOfficialAI score62AIAnthropic introduces Claude Haiku 5.5, which it describes as the cheapest, fastest, and most capable small model it has released. On average, running it costs around 75% less than Claude Haiku 4.5.
NVIDIA AI Developer@NVIDIAAIDevOfficialAI 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.
Andrew Curran@AndrewCurran_XAI score26AIAndrew Curran says Haiku 5.5 is live for him right now. The post gives no further details on availability, features, or pricing.
Google Flow@FlowbyGoogleOfficialAI score12AIGoogle Flow is hosting a digital workshop for creators on October 12 at 9 AM PT. Digital creator Will Schafer will show how he used Google Flow to build a stylized music visualizer for one of his original songs. Registration is available at goo.gle/flow-workshops.
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_devOfficialAI 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@ggerganovXAI 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.
Liquid AI@liquidaiOfficialAI 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.
eric zakariasson@ericzakariassonXAI score16AIxAI's Grok Bot 0.68.1 lets bots build slide decks delivered as PowerPoint or Google Slides and send formatted emails directly from a draft card. The update also gives 1:1 chat messages the color of the Bot and speeds up computer use on a 1920x1200 screen.
Design Arena@DesignArenaOfficialAI score22AIDesign Arena reports that websites built by Opus 5.5 show stronger sectioning, visual hierarchy, and balance than those from its predecessor, Opus 5. The post also says Opus 5.5's motion design and animations have improved significantly over Opus 5, which was released just over 2.5 months earlier.
Design Arena@DesignArenaOfficialAI score44AIAnthropic's Claude Opus 5.5 has taken first place on four Design Arena leaderboards: Overall Frontend, Data Visualization, 3D Design, and React Native. It also ranks in the top three on the Game Dev and UI Components leaderboards, about two weeks after its release. Design Arena says developers, designers, and casual users have embraced the model.
AIHiggsfield has updated its AI influencer tool, letting users insert their own AI-created characters into existing videos. The characters look realistic but deliberately unhuman, with geometric haircuts and elongated necks, as a spokesperson said a flawless face reads as generic AI. The company, which says it has 30 million users, recently announced a $1 billion run rate.
Google for Developers@googledevsOfficialAI 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.
Liquid AI@liquidaiOfficialAI score40AILiquid AI has released its d1 decision models, with d1-3B recommended for high-quality text and vision tasks and d1-omni-600M offered as an experimental option for smaller footprints. The weights are available for download, fine-tuning, and local deployment.
Liquid AI@liquidaiOfficialAI 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@liquidaiOfficialAI 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.
Liquid AI@liquidaiOfficialAI score36AILiquid AI has released d1-omni-600M, an experimental 600M-parameter model that handles text plus image or audio input. It combines LFM2.5-Encoder-350M with vision and audio encoders and leads the company's text benchmark comparison on toxicity detection and paraphrase identification. The post suggests uses such as voice-command routing, on-device moderation, and intent classification.
Liquid AI@liquidaiOfficialAI score23AILiquid AI's d1-3B ranks first among models under 10B parameters on the Decision Index v0.2.1, a benchmark for structured decision-making. Built from LFM2.5-VL-3B, it makes decisions from text and images in a single pass. It is suited to reranking, agent guardrails, and visual inspection.
Liquid AI@liquidaiOfficialAI score52AILiquid AI released Open d1, two open-weight multimodal models in its d1 decision model family. The d1-3B model supports text and vision, while d1-omni-600M supports text plus image or text plus audio. The source says the models are meant for real-time decision making across data centers, RTX workstations, and Jetson edge devices.
AILiquid AI released two open-weight decision models, d1-3B and d1-omni-600M (experimental), built on its Liquid Foundation Models and available on Hugging Face. d1-3B scores 48.57 on the Decision Index 0.2.1, the highest among decision models under 10B parameters, and answers a question in 16 ms on an NVIDIA Jetson AGX Thor and under 50 ms on a Jetson Orin Nano. The models support text and images (d1-3B) or text with image or audio (d1-omni-600M).
Muse@MuseOfficialAI score18AIMuse is now on iPad. For when your phone feels too small and your laptop feels too far. Download here ↓
Google@GoogleOfficialAI 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.
Gamma@GammaAppOfficialAI 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.
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@danielhanchenXAI 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.
🚨 AI News | TestingCatalog@testingcatalogXAI score16AISpaceXAI is working on a "Meetings" feature that would let users give Grok Bot links to join Google Meet or Zoom calls. The post suggests use cases such as having daily standups with Grok Bots, but no launch timing or availability is given.
Aravind Srinivas@AravSrinivasXAI score62AIPerplexity is open-sourcing pplx-embed-v2-late, multi-vector embedding models for text and images in one shared space, in 9B and 0.6B sizes. The 9B model can index multimodal data, the 0.6B model can run queries on device, and PDF pages can be searched without OCR. The author reports 92.4% on MADQA and 64% on BrowseComp+, with weights available on Hugging Face.
Modal@modalOfficialAI score12AIModal, a cloud platform for running AI workloads, shares a case study on its approach to type-safe AI. The post itself offers only a link to the full story, so no further technical details can be confirmed.
Santiago@svpinoXAI 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_aiOfficialAI score27AIPerplexity has published both pplx-embed-v2 models on Hugging Face, with the collection available at the linked URL. The post provides no further details on model sizes, benchmarks, or capabilities.
Perplexity@perplexity_aiOfficialAI score32AIPerplexity reports its system reached 92.4% accuracy on MADQA, a benchmark of 500 questions over 800 PDFs. The post describes this as the top result among retrievers on that benchmark.
Perplexity@perplexity_aiOfficialAI 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.
