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AIDatabricks has released a public Beta of a Workday Data Connect federation connector for Unity Catalog, letting teams query Workday HR and finance data in place without copying it. Workday administrators share approved tables through Workday Data Cloud, and Databricks administrators create an OAuth connection and foreign catalog to govern access. The data is read-only, and Workday remains the system of record.
AIBaiju Bhatt, founder and CEO of Cowboy Space, says the company is developing an energy grid in orbit. Its first satellite, Reason 1, reached orbit on a SpaceX rideshare, and the team is communicating with it daily.
Modal@modalAI score22AIModal says Proximal built a custom post-training stack using Modal Clusters for on-demand multi-node clusters. The stack also uses autoscaling GPUs to handle bursty inference workloads.
AIDatabricks has released Funke, a Python and PySpark library and deployable pipeline that parses HL7v2 healthcare messages into native Spark types while preserving the full message hierarchy. It succeeds Smolder, the Scala data source Databricks open-sourced in 2021, and ingests through Auto Loader into Unity Catalog bronze and silver tables. Users can query segments, fields, components, and subcomponents directly with DataFrame or Spark SQL expressions.
AIDatabricks introduces database branching in Lakebase Postgres, letting each coding agent work in its own isolated database branch created in under a second regardless of size. Branches use copy-on-write storage, consuming extra space only as they diverge, and scale to zero when idle so unused branches incur no compute cost. Schema changes are tracked in code and promoted to the parent branch through migrations rather than merged back, and ephemeral branches are created per pull request for testing.
Prime Intellect@PrimeIntellectAI score52AIPrima Mente and AlzData are launching the Alzheimer's Translation Challenge, a global AI competition to discover new therapeutic hypotheses for Alzheimer's disease. The challenge centers on a 150M cell atlas of neurons, astrocytes, and microglia across different genetic backgrounds under combinatorial perturbations, with multi-modal readouts. Top teams will have their hypotheses tested in Prima Mente's wet lab, and the data will be available through the AD workbench, Hugging Face, and Prima Mente's modeling platform.
AICoreWeave launched Forge, a platform meant to help teams run, observe, evaluate and improve AI agents continuously through a five-stage loop. The offering includes Agent Lens, Registry, RL Rollouts, model distillation, and the AI Research and Iteration Agent (ARIA), which is now generally available. CoreWeave also introduced a partner network of tested, co-engineered integrations, according to Susanne Seitinger, vice president of product marketing.
AIHospitals, academic centers, medtech firms, and pharma companies all face the same obstacle: imaging data is locked in clinical systems and hard to share. The EXAM study across 20 institutions showed federated learning, which shares model weights rather than patient data, improved AUC by 16% on average. Collaboration remains difficult due to scanner and protocol heterogeneity, privacy governance, and the lack of a common data substrate.
Sara Hooker@sarahookrAI score18AISara Hooker congratulated @weiyinko_ml for leading a new work on automated data quality control with agentic checklists. She linked a blog post from Adaption Labs with further details.
Sara Hooker@sarahookrAI score10AIThe post says the approach is not domain-specific, which matters for Adaption AI because many of its datasets come from domains that cannot be verified. The method covers 44 domains that differ substantially and have their own nuances.
Sara Hooker@sarahookrAI score13AISara Hooker reports that applying a checklist leads to consistent downstream training performance gains. The post gives no further details on the checklist, models, or benchmarks involved.
Sara Hooker@sarahookrAI score17AIAdaption AI's discovery agent reviews past AutoScientist training runs to identify critiques at the edge of current capabilities and specific to each domain. The team converts that critique set into a checklist that automatically filters training data.
OpenRouter@OpenRouterAI score29AIInception's Mercury Decide, the fastest-growing decision model on OpenRouter last week, now has a paid zero data retention (ZDR) endpoint alongside the free one. It is priced at $0.02/M input tokens, half the $0.04 list price, with output and cached input free and a 66K context window.
Amazon Web Services@awscloudAI score12AISprinklr manages billions of customer interactions for some of the world's biggest brands, so its infrastructure had to match that scale. This post is the second in a four-part series, and the excerpt gives no further details on the specific systems or technologies involved.
Anthropic@AnthropicAIAI score57AIAn astrophysicist worked with Claude Science to create the first complete ultraviolet map of the sky, covering regions never observed in UV. Claude located existing datasets, combined them, and filled gaps with statistical inference, taking a few days rather than weeks of human work. The map is presented as a teaching tool and an example of low-priority scientific work that AI now makes feasible.
wh@nrehiew_AI score22AIProximal has published details of its internal post-training infrastructure, which runs on Modal GPUs and Kubernetes to support its experiments. The company says the blog is written to be educational about how the stack works.
AIEpoch AI estimates the AI chips shipped through 2027 could support about 30 to 170 million concurrent frontier-model agents, or nearly 2 billion with cheaper models. Its researchers find the cost of a fixed level of AI performance has fallen about 47% per quarter over the past three years. The newsletter also reports China's semiconductor supply-chain exposure is 2.7 times that of the US.
Stability AI@StabilityAIAI score30AIStability AI's Interactive Research team introduced SemanTok, which makes early video tokens more semantically meaningful so the representation is easier to predict. According to the post, a model using SemanTok matches or beats the performance of a model more than three times its size. The approach targets more efficient autoregressive video generation.
Google Research@GoogleResearchAI score20AIGoogle Research is presenting ContinuousBench, a standardized benchmark for measuring knowledge transfer and data contamination in differentially private (DP) synthetic data generation. Alex Bie is giving an encore presentation at the Google booth #107 at COLM 2026 today, at 2:00 PM PT.
AIAnthropic launched two beta features for Claude: Dashboards, which turns connected data sources like BigQuery, Databricks, Snowflake, or Salesforce into auto-updating live dashboards from text prompts, and Motion, which creates animated explainer videos from text, diagrams, and images. Dashboards is available to paid users and Motion to Team and Enterprise plans, while Docs, Slides, and Design leave beta and work across all plans, including free accounts.
Goodfire@GoodfireAIAI score22AIThe Alzheimer's Translation Challenge, led by Primamente and AlzData with NVIDIA, Hugging Face, Nebius, Talisman Therapeutics, Ultima Genomics, Cellanome, Prime Intellect, and Boltz, is now open for registration. The competition starts in spring 2027, according to the post.
Goodfire@GoodfireAIAI score25AIParticipants will use a dataset to build AI models, evaluated through a series of evals ranging from general benchmarks to more complex tasks. Top teams will be shortlisted and have their experimental hypotheses tested in Prima Mente's wet lab.
Goodfire@GoodfireAIAI score44AIThe Alzheimer's Translation Challenge is built on a new atlas of 150M cells, covering neurons, astrocytes, and microglia across different genetic backgrounds under combinatorial perturbations with multi-modal readouts. The data will be made available through the AD workbench and Prima Mente's modeling platform.
AILeapfrog, a small team doing high-volume AI visual and production work for fashion and brand clients, is building a "one brain" system that makes company knowledge and client context searchable through natural-language agents. The starter stack described is OpenClaw in a sandbox, a GitHub repository, Obsidian on the local machine, and Telegram as the access point. The system's research structure had roughly 1,200 files at the time of the talk.
AIThe NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a smaller, clearer, and easier-to-verify agent harness. The competition required agents to answer natural-language questions over heterogeneous sources, including databases, CSV and JSON files, prose documents, PDFs, and briefing videos.
Databricks@databricksAI score32AIDatabricks introduced Vibe Data Modeling, an open-source agent that helps teams build, validate, and evolve business-specific data models. It applies roughly 250 modeling rules while keeping data modelers and business stakeholders involved. Teams can start from 40 industry models as a baseline and iterate toward models that reflect how their business operates.
AIActor Ben Affleck drew attention this week for explaining machine learning concepts, including convolutional neural networks, tensors, and transformers, in several recent interviews. He said he fine-tuned open video models by unfreezing weights and training only the last cinematic layer, using a dataset he built over about eight months for his startup. Affleck said he worries about students and learned helplessness more than Skynet, and predicted AI will be additive to the movie business.
Google Cloud Tech@GoogleCloudTechAI score40AIGoogle Cloud's borderless Lakehouse lets Gemini query data on AWS and Azure without variable egress fees. It reads directly from Salesforce Data 360, SAP, ServiceNow, and Workday without copying data. It also federates open Apache Iceberg tables across Databricks Unity, Snowflake Horizon, and AWS Glue.
Google Cloud Tech@GoogleCloudTechAI score12AIGoogle Cloud's Smart Storage enriches files in place and writes metadata directly onto source objects, giving Gemini instant context. The post says this keeps security ACLs from drifting, which matters for dark, unstructured data.
Jerry Liu@jerryjliu0AI score22AILlamaIndex says Markdown has become a universal representation between humans and agents, preserving headings, lists, and tables while remaining readable to models. Since most unstructured documents are not natively in Markdown, the main challenge is the translation layer, which the company addresses with models that convert document containers into Markdown. The quoted post adds that Markdown keeps table columns intact, with HTML used for tables with merged headers.
Jerry Liu@jerryjliu0AI score41AIOpenDocRouter is a unified API and billing interface for document OCR models, ranging from lightweight open-source options like MinerU to frontier VLMs like Opus 5.5. Per the linked post, models are served at cost with a small transaction cut, rate limits are handled, and bounding boxes and layout are offered as a service.
Dongxi NLP@dongxi_nlpAI score22AIExploreNet is a learnable exploration method for diffusion reinforcement learning that adapts its exploration distribution to the current state. It is rewarded by rollout diversity, which the post says yields faster, more targeted learning in diffusion GRPO.
elvis@omarsar0AI score46AIRSIGym provides a research agent with training, inference, evals, and sandboxes as callable services, so it spends its budget on experiments rather than rebuilding infrastructure. With Opus 5 as the researcher, the improved system rose from 17.67% to 50.33% on SWE-bench Verified. The post also highlights a way to measure co-evolution between harnesses and models.
Odyssey@odysseymlAI score38AIOdyssey announced Odyssey-3, a foundation world model it says enables applications in physical AI, human experiences, and training intelligences. The company highlights agents learning from experience inside Odyssey-3 while working toward objectives.
LlamaIndex 🦙@llama_indexAI score8AILlamaIndex says Markdown is its default output for document parsing because it preserves headings, lists, and tables, which helps models read content correctly. The post notes that parsers can extract every word yet lose which column a number belongs to, forcing models to guess. For tables with merged headers, LlamaIndex switches to HTML.
AIPeriodic Labs' Liam Fedus and Ekin Dogus Cubuk explain why scientific discovery differs from math and coding, and why experiments remain the ground truth. They describe reinforcement learning grounded in physical experiments, AI-driven materials characterization, and the view that failed experiments can be valuable training data. The transcript was truncated before the discussion of giving lab instruments "140 IQ" was completed.
Google Research@GoogleResearchAI score14AIGoogle Research is presenting EnvHarness, a flexible framework that enables co-evolution between LLM agents and their training environments, at the #COLM2026 Google booth #107 today at 11:00 AM PT. The post notes that static environments limit agent growth, and EnvHarness is described as a plug-in architecture that dynamically reshapes environment behaviors to improve reinforcement learning and adaptability.
elvis@omarsar0AI score34AIVoice Arena's Monsoon ASR dataset fine-tuned Whisper Medium on Bengali FLEURS, reducing LLM word error rate from 85.27% to 7.65%. The corpus spans 100,000 hours across 50 languages, and Voice Arena says more than 80 organisations have asked to license it since its launch a week ago.
Fireworks@FireworksAI_HQAI score14AIFireworks AI argues that serious AI teams eventually build their own data, evaluations, models, and possibly chips. The post features swyx of Latent Space and AI Engineer discussing why the future is domain-specific, and promotes an in-person event in San Francisco on November 3.
Google@GoogleAI score40AIIn a prospective clinical study, Google's models pinpointed gestational age within 4 days of accuracy. The company says that precision could meaningfully affect clinical care, and that extending such tools to low-resource settings could help reduce maternal deaths and close care gaps worldwide.
