Rubbletag

Rubbletag — Your 7-LLM Conference

[Rubbletag @rubbletag]

Anthropic introduces self-assessment to improve AI safety monitoring, presenting a technique that allows Claude to evaluate conversations for potentially harmful activity immediately after responding. Published on October 16, the research describes how the model performs a preliminary safety assessment using a short instruction and a small number of additional output tokens. In evaluations using Claude Fable 5, the method identified 78% of conversations flagged as potentially harmful by a stronger prompted classifier, including 94% of high-priority cases, at a 1% false-positive rate. Anthropic reports that the technique has helped identify large-scale misuse overlooked by other detection methods since June. Self-assessment serves as an additional monitoring layer rather than a replacement for existing safety classifiers.

#Anthropic #Claude #AISafety #ModelMonitoring #Rubbletag #AIResearch #MachineLearning #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

OpenAI makes Decisions API generally available, introducing a GPT-6 Luna-powered service for fast, structured decision-making in applications and AI agents. Announced on October 22, the API processes text, images, and structured inputs, returning probabilities, predefined choices, or scores rather than full conversational responses. OpenAI reports decision speeds up to ten times faster than using GPT-6 Luna through the Responses API. The release adds native GPT-Live integration, prompt caching, JSON inputs, and support for up to 400 questions per request. Pricing starts at $0.10 per million input tokens, with cached input priced at $0.01 per million tokens and no output-token charges. OpenAI says the service supports applications including document classification, request routing, risk assessment, and real-time voice interactions.

#OpenAI #DecisionsAPI #GPT6Luna #AIAgents #Rubbletag #AIInfrastructure #Developers #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

OpenAI and Uber expand ChatGPT Work to over 30,000 employees, announcing a company-wide rollout on October 22. The expansion follows an initial pilot involving 1,000 employees and introduces an AI agent designed to handle complex, multi-step workplace tasks within ChatGPT Enterprise. ChatGPT Work connects with Google Drive, Gmail, Google Calendar, and Slack, allowing employees to research information, analyze data, prepare meeting briefs, create presentations, and complete workflows across applications. GPT-6.1 Sol will serve as the default model within ChatGPT Work, with additional multimodal capabilities available for different tasks. Uber is supporting the rollout through an internal AI skills library, approved integrations, and employee training. Its software engineering teams will also continue using Codex for development workflows.

#OpenAI #Uber #ChatGPTWork #EnterpriseAI #Rubbletag #AIAgents #WorkplaceAutomation #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

NVIDIA expands Cosmos with new world model development tools, introducing additional capabilities for training, evaluating, and deploying AI systems that simulate physical environments. Announced on October 21, the update includes five Cosmos Data Factory blueprints for generating and augmenting training datasets, covering autonomous driving, image attributes, unusual events, industrial defects, and video conditions. NVIDIA also expanded its Cosmos Framework to support training and optimization workflows for additional open models. New Cosmos 3 Nano variants enable developers to evaluate autonomous systems in simulated environments before real-world testing. Updated Cosmos 3 NIM microservices deliver up to twice the inference speed in validated configurations without quality loss. NVIDIA reports that companies including Porsche, ANYbotics, and Ultralytics are already using Cosmos Data Factory tools in their development workflows.

#NVIDIA #Cosmos #WorldModels #PhysicalAI #Rubbletag #Robotics #GenerativeAI #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

Hugging Face adds GGUF model support to Transformers, enabling developers to run quantized language models locally through familiar Python and PyTorch interfaces. Announced on September 22, the integration allows compatible GGUF checkpoints to be loaded directly from the Hugging Face Hub using the Transformers API. Its initial focus is Apple Silicon, with optimized Metal kernels adapted from llama.cpp and ggml to improve inference efficiency. Developers can also serve supported models through an OpenAI-compatible API, evaluate quantized checkpoints, and experiment with custom generation workflows. The packed inference implementation currently supports selected Qwen3.5 architectures and compatible Qwen3.8 checkpoints. Hugging Face continues to recommend llama.cpp for users whose primary requirement is efficient local inference, while the new integration provides additional flexibility for development and experimentation.

#HuggingFace #Transformers #GGUF #LocalAI #Rubbletag #PyTorch #LlamaCpp #OpenSourceAI @NASIRCISSISTIC

[Rubbletag @rubbletag]

https://t.co/rDTTc9fOLN
Rubbletag is now live.
Why ask one LLM when you can bring seven into the same conference?
Rubbletag brings leading language models together in one structured conference. Ask once, and every selected model receives the same question and responds independently, without seeing what the others have said.
No influence. No echo. No herd behaviour. We call it the Blind Deliberation.
Follow the conversation naturally in Full View, or bring every perspective together in Grid View. Compare answers, spot consensus, examine disagreement, and decide for yourself.
Bring documents and images into the conference. Address an individual model with the @mention feature. Create focused summaries, keep notes, plan follow-ups, capture screenshots, and preserve every conference as a text file on your own computer.
Rubbletag is a tool, not AI. It hosts, arranges, and delivers the conference. You are the Chairperson.
Your 7-LLM Conference is now open.
Start your 30-day free trial. No payment details required.
https://t.co/rDTTc9fOLN
https://t.co/i9yjysIeZE
#Rubbletag #LLM #MultiLLM #ArtificialIntelligence #AITools #SaaS #AI @elonmusk @sama @NASIRCISSISTIC

[Rubbletag @rubbletag]

@NASIRCISSISTIC It came to us from our ancestors, the Cavemen.

[Rubbletag @rubbletag]

Mistral introduces Voxtral 3 for multilingual voice AI, releasing a new family of speech recognition and voice generation models alongside a voice agent SDK. Announced on October 20, the release includes four models covering transcription, real-time speech recognition, and text-to-speech generation. Voxtral Small Transcribe 3 supports transcription across more than 50 languages, speaker identification, and contextual vocabulary guidance. Voxtral Mini Transcribe Realtime 3 provides streaming transcription with latency below 500 milliseconds. The text-to-speech model supports expressive speech generation across multiple languages and dialects. Mistral's voice agent SDK combines speech recognition, language-model reasoning, tool calling, and speech generation into a real-time pipeline. The models are available through Mistral's API, with self-deployment options for organizations requiring control over their infrastructure.

#MistralAI #Voxtral3 #VoiceAI #SpeechRecognition #Rubbletag #AIAgents #MultilingualAI #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

Microsoft expands local AI capabilities with Azure Local, announcing additional options for organizations to operate AI models and development tools within customer-controlled environments. Announced on October 20, the updates include plans to make Foundry Local generally available for connected and disconnected operations on Azure Local at Microsoft Ignite. Its expanded model catalog will include Microsoft, partner, open-weight, and open-source models. Local inference and agentic retrieval will allow users to interact with enterprise data through natural-language queries. Microsoft also plans to make GitHub Enterprise Local generally available as a validated GitHub Enterprise Server appliance on Azure Local. Developers will be able to use GitHub Copilot with locally hosted models, keeping AI-assisted development closer to their code and data.

#Microsoft #AzureLocal #FoundryLocal #EnterpriseAI #Rubbletag #LocalAI #GitHubCopilot #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

NVIDIA releases Nemotron 3.5 models for AI search and document processing, introducing open models for embedding, reranking, and structured information extraction. Announced on October 21, the collection includes 8-billion and 1-billion-parameter embedding models, an 8-billion-parameter reranker, and a 631-million-parameter document parser. The models support retrieval across text and images, including tables, charts, and diagrams. NVIDIA reports that adding its reranker reduced agent inference token costs by approximately 13% to 14% in evaluated configurations while improving retrieval accuracy. The document parser converts document images into structured text, tables, and other machine-readable formats. NVIDIA also reports that its quantized 1B embedding model achieved 27.1% higher throughput than the BF16 version on GB200 hardware while retaining 99.85% of retrieval accuracy in the specified benchmark.

#NVIDIA #Nemotron #AIModels #DocumentProcessing #Rubbletag #AIAgents #MultimodalAI #OpenSourceAI @NASIRCISSISTIC

[Rubbletag @rubbletag]

Anthropic donates Agent Skills standard to the Agentic AI Foundation, transferring the open specification to a vendor-neutral organization operating under the Linux Foundation. Announced on October 22, the move follows the adoption of Agent Skills by more than 70 agent platforms, including ChatGPT, Cursor, GitHub Copilot, and VS Code. Agent Skills allows AI agents to acquire specialized procedural knowledge through folders containing instructions, scripts, and reference materials. Anthropic reports that approximately one million skills have been published, with nearly 280 million installations. The donation includes the Agent Skills name, logo, GitHub organization, and https://t.co/cNK0uuLgx7 domain. Engineers from Anthropic, Google, OpenAI, and other companies will participate in maintaining the standard. Proposed future work includes versioned releases, a formal proposal process, and security guidance.

#Anthropic #AgentSkills #AgenticAI #OpenStandards #Rubbletag #AIAgents #LinuxFoundation #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

IBM Research introduces ensemble forecasting with Granite time-series models, publishing a new technical article on October 22, 2026. The work focuses on time-series forecasting, a machine-learning task concerned with predicting future values from historical observations. The accompanying Granite Time-Series Ensemble R1 model is listed on Hugging Face under IBM's official Granite organization. The publication adds to IBM's ongoing development of specialized models for forecasting applications. IBM Research has also previously released its Granite Time Series PatchTST-FM-r2 model. Both releases form part of the organization's publicly available time-series research and model portfolio.

#IBM #IBMResearch #Granite #TimeSeriesForecasting #Rubbletag #MachineLearning #OpenModels #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

https://t.co/rDTTc9fOLN
Rubbletag is now live.
Why ask one LLM when you can bring seven into the same conference?
Rubbletag brings leading language models together in one structured conference. Ask once, and every selected model receives the same question and responds independently, without seeing what the others have said.
No influence. No echo. No herd behaviour. We call it the Blind Deliberation.
Follow the conversation naturally in Full View, or bring every perspective together in Grid View. Compare answers, spot consensus, examine disagreement, and decide for yourself.
Bring documents and images into the conference. Address an individual model with the @mention feature. Create focused summaries, keep notes, plan follow-ups, capture screenshots, and preserve every conference as a text file on your own computer.
Rubbletag is a tool, not AI. It hosts, arranges, and delivers the conference. You are the Chairperson.
Your 7-LLM Conference is now open.
Start your 30-day free trial. No payment details required.
https://t.co/rDTTc9fOLN
https://t.co/i9yjysIeZE
#Rubbletag #LLM #MultiLLM #ArtificialIntelligence #AITools #SaaS #AI @NASIRCISSISTIC

[Rubbletag @rubbletag]

Hello Tibo (@thsottiaux),
Codex has been hallucinating far too frequently lately, drifting away from established project specifications, losing track of the assigned work, and getting entangled in the workflow.
This was never the case with Codex. Working with it has always been a worry-free experience.
Please bring this to the attention of the Codex team. This excellent tool needs serious and immediate attention from its makers to restore its original efficiency, reliability and consistency.
Warm regards,
Team Rubbletag
#OpenAI #Codex @NASIRCISSISTIC

[Rubbletag @rubbletag]

IBM Research introduces ensemble forecasting with Granite time-series models, publishing a new technical article on October 22, 2026. The work focuses on time-series forecasting, a machine-learning task concerned with predicting future values from historical observations. The accompanying Granite Time-Series Ensemble R1 model is listed on Hugging Face under IBM's official Granite organization. The publication adds to IBM's ongoing development of specialized models for forecasting applications. IBM Research has also previously released its Granite Time Series PatchTST-FM-r2 model. Both releases form part of the organization's publicly available time-series research and model portfolio.

#IBM #IBMResearch #Granite #TimeSeriesForecasting #Rubbletag #MachineLearning #OpenModels #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

NVIDIA introduces Minerva to monitor AI data centers, unveiling an AI-powered operations platform designed to detect infrastructure problems and improve system reliability. Announced on October 22, Minerva combines information from GPUs, networking equipment, storage systems, schedulers, and AI workloads into a unified operational view. It uses machine learning to analyze billions of data points per hour, identify unusual behavior, predict potential failures, and group related alerts into actionable incidents. The platform also includes a conversational AI assistant that allows operators to investigate system health and receive recommended corrective actions. NVIDIA says IREN is already using Minerva, while IBM, Jio, Lambda, Tesla, and several other organizations plan to deploy it. Dell Technologies, Lenovo, and Supermicro are also involved in offering the platform.

#NVIDIA #Minerva #AIInfrastructure #DataCenters #Rubbletag #AIOps #MachineLearning #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

Hugging Face introduces a tool to check AI model compatibility with AWS Trainium, allowing developers to see whether popular Transformers models run without modification on Amazon's AI accelerators. Announced on October 23, the TorchNeuron Model Support Space displays test results, the number of Trainium cores used, compilation-inclusive execution time, and peak device memory. Developers can search models by popularity or trending status, inspect compiler and library versions, and obtain scripts to reproduce the tests. Results are also published in a public dataset. Current testing covers selected text-generation and image-text-to-text models on Trainium2, using up to 16 cores. Hugging Face cautions that passing these tests does not establish throughput performance or reliability for longer generations.

#HuggingFace #AWSTrainium #TorchNeuron #AIInfrastructure #Rubbletag #PyTorch #OpenSourceAI #MachineLearning @NASIRCISSISTIC

[Rubbletag @rubbletag]

Cloudflare and https://t.co/vhcsImUD4o bring AI shopping tools to nearly 100,000 stores through an integration using WebMCP, an experimental browser standard that allows AI agents to interact with structured website tools. Announced on October 21, the integration enables compatible agents to search products, retrieve details, and add items to shopping carts without relying on simulated clicks. Cloudflare delivers these capabilities through its edge network, allowing https://t.co/vhcsImUD4o to enable them across storefronts without requiring merchants to modify their websites. Individual merchants can opt out through their dashboards. Shopping activities remain within the customer's browser session, while customers retain control of checkout and payment. The integration also includes fallback handling for browsers that do not support WebMCP.
#Cloudflare #CommerceDotCom #WebMCP #AIShopping #Rubbletag #AIAgents #Ecommerce #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

Ai2 releases OlmoEarth v1.3 for planetary satellite analysis, introducing an open Earth-observation model alongside precomputed satellite embeddings and a browser-based mapping tool. Announced on October 22, the release provides embeddings at 10-metre resolution using radar and multispectral satellite imagery. In evaluations across six continents, Ai2 reports that its 128-dimensional embeddings achieved the highest scores in 20 of 27 tests, while the smaller 64-dimensional version led in 18. The accompanying OlmoEarth Embeddings Explorer allows users to examine landscape changes, identify similar locations, and create classification maps without GPU access or account registration. Applications include agricultural mapping, fire-damage assessment, and monitoring land-use changes. Ai2 has also released the model weights, training data, and code.

#Ai2 #OlmoEarth #SatelliteImagery #GeospatialAI #Rubbletag #OpenSourceAI #EarthObservation #ArtificialIntelligence @NASIRCISSISTIC

[Rubbletag @rubbletag]

https://t.co/rDTTc9fOLN
Rubbletag is now live.
Why ask one LLM when you can bring seven into the same conference?
Rubbletag brings leading language models together in one structured conference. Ask once, and every selected model receives the same question and responds independently, without seeing what the others have said.
No influence. No echo. No herd behaviour. We call it the Blind Deliberation.
Follow the conversation naturally in Full View, or bring every perspective together in Grid View. Compare answers, spot consensus, examine disagreement, and decide for yourself.
Bring documents and images into the conference. Address an individual model with the @mention feature. Create focused summaries, keep notes, plan follow-ups, capture screenshots, and preserve every conference as a text file on your own computer.
Rubbletag is a tool, not AI. It hosts, arranges, and delivers the conference. You are the Chairperson.
Your 7-LLM Conference is now open.
Start your 30-day free trial. No payment details required.
https://t.co/rDTTc9fOLN
https://t.co/i9yjysIeZE
#Rubbletag #LLM #MultiLLM #ArtificialIntelligence #AITools #SaaS #AI @elonmusk @sama @NASIRCISSISTIC