#Data/Training

AITian Keyu, the Peking University PhD student known as the "ByteDance poisoning intern," has a 10-person world-model lab valued at $200 million after $30 million from Fivesource Capital and IDG, according to Leiphone. The lab plans to train a foundation model on about 100 million hours of video using a 200,000-symbol visual vocabulary, with a 2027 release targeted. Tian says the approach could cut the cost of generating one second of video by at least an order of magnitude.

AICredo's latest full-DSP module, Cardinal 802, uses a 4×200G design aimed at both 800G and 1.6T, after the company expanded its ZeroFlap optical module line from 800G to 1.6T over the past year. The company also added Kfir200 silicon photonics PIC from its DustPhotonics acquisition and a PILOT diagnostics platform to the module.

AIAnthropic's Claude Science has produced what the source describes as the first complete ultraviolet map of the sky. AI agents downloaded data from multiple space missions, calibrated and merged it, and used inpainting to fill gaps left by NASA's GALEX mission, which skipped bright star-forming regions. In tests, predictions averaged about ten percent deviation from actual measurements, and the map is intended as teaching material.

AINVIDIA published the Agile One S SSD Pick deployment model, GR00T N1.7 checkpoint 40000, on Hugging Face for SSD pickup tasks. The repository includes five ONNX graphs with external tensor files and two existing TensorRT BF16 engines, with original configurations and build metadata, but no retraining or re-export was performed. The files are not a robot deployment or safety qualification, and engine compatibility depends on the target GPU and TensorRT environment.

AIGeekPark reports that Krinwave, a Shenzhen company, has completed a new 400 million yuan round with XVC and Sequoia China as new investors. The company says its low-frequency ultrasound captures brain structures through the skull, which conventional high-frequency devices cannot, and it aims to supply hardware and its kOS software platform to brain-computer interface and NeuroAI groups.

AISharpa launched D01, a fully self-developed humanoid robot with electronic skin covering the whole body and tactile coverage of the upper body, sensing forces from 0.1 to 20N at 100Hz. It also unveiled the W02 dexterous hand, which has 21 active degrees of freedom, about 30% smaller than the W01, and the AE01 exoskeleton data glove with 22 encoders for teleoperation and data collection.

AISemiAnalysis gas analyst Ellie Holbrook told Bloomberg that trucking gas to an AI datacenter campus does not go far. The post is the first of a four-part thread, and the rest of its details are not shown here.

AIByteDance Seed researchers found that language models compressing their KV cache in fixed-size chunks retrieve the same information unevenly depending on token position. In a 128K-token needle-in-a-haystack test, base DeepSeek-V4 checkpoints differed by up to 40.2 percentage points by phase, and post-training narrowed but did not eliminate the gaps. The authors urge evaluating such models across positional phases, since high average accuracy can hide systematic failures.

AIHuawei's OceanStor M900 and Nvidia's CMX move reusable inference KV cache into a shared storage tier, but no agreed SSD specification exists for it. A storage executive said endurance requirements for one design rose from 3 to 9 drive writes per day and could change again. Industry sources expect convergence to take 6 to 12 months, with another year for development and validation.

AISimplexity Robotics says it trained a single robot to load and unload two CNC lathes on its own, using 600 real-robot trajectories and reporting a 100% success rate on the precision CNC insertion task. The work, presented at IROS 2026 on September 29, combines the SimpleWAM world action model, a DRAM memory module and DPE action scoring, with force and torque feedback for insertion recovery. The company did not say how many trials the 100% figure covers, and it does not describe the yield of the whole cell.

AIMirroS released AgentGarten, which pairs executable code environments with a real-time neural renderer running above 30 fps so agents can act, observe, and learn. In a one-on-one hide-and-seek setup, the hider learned to block passages by round 4 and the seeker learned to climb ramps by round 10, guided by notes the agents wrote after each round. The authors report applying the same loop to four other tasks, including a dog-companion game, a narrow-bridge car passing task, herding, and quarry loading.

AIA Chinese-led team published in Cell a three-dimensional spatiotemporal cell atlas covering rice from germinating seed to grain fill, along with a public portal and the RICE scGPT single-cell foundation model. The atlas combines single-nucleus RNA sequencing with BGI's Stereo-seq spatial transcriptomics across 10 organ and tissue types and 61 stages, defining 119 cell types and 133 subtypes.

AIHuawei launched the OceanStor M900 and Nvidia introduced CMX Context Memory Storage to manage inference KV Cache in tiered storage, reducing repeated computation on cache hits. Sources say SSD requirements for this workload are not standardized: some plans have moved from 3 DWPD to 9 DWPD, and the industry may need 6–12 months to reach a common product standard.

AIAt IROS 2026, Simplexity Robotics presented a robot that autonomously tends two CNC machines, grasping workpieces, loading them into chucks, and placing finished parts, with 0.5 mm clearance. The system was trained on only 600 real robot trajectories, using the SimpleWAM world action model, DRAM recurrent memory, and DPE candidate action scoring. The talk was reported as an edited transcript from the conference presentation.

AIBASAL Intelligence, founded by Tsinghua AIR's first PhD graduate Li Jianxiong, has secured lead funding from Five Source Capital, with Ivy Capital, Linear Capital and WestSummit Capital participating. The company says it is betting on an action-native In-Context embodied foundation model that lets robots learn on site from a few human demonstrations and trial attempts within minutes, without retraining after a scene change.

AILaya is a 421-million-parameter non-autoregressive decision engine from Convai Innovations that returns calibrated option probabilities in a single forward pass with zero output tokens. This tutorial tests its zero-shot accuracy, probability calibration, temperature fitting, and abstention gating on the CLINC150 banking intent dataset.

AICaterpillar and CoreWeave are working to cut the time needed to train construction machines from months to hours, according to Caterpillar's Brandon Hootman. Caterpillar's ecosystem holds about 18 petabytes of federated machine, dealer and customer data, and a single machine can generate terabytes of LiDAR, camera and control data in a day. The partners use AI models, working with Nvidia, to annotate incoming field data so it can feed simulation and training within the same workday.

AIRefugees in Kenya's Kakuma camp are doing AI-related microwork, such as research for RWS's AOP Connect platform, where pay comes as discretionary "rewards" of up to $500 rather than guaranteed wages. Interviews with more than two dozen refugees found most earn far less than the maximum, and entry-level remote tech work is shrinking. Refugees who are unable to legally work in Kenya say they accept these gigs despite opaque pay criteria.

AIBiohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort covering data, lab equipment, and compute. Meta, Google DeepMind, and Isomorphic Labs are contributing a combined $300 million, and the US Department of Energy is investing over $500 million over five years. Commercial funders get one year of exclusive access to data they paid for, while government-funded data will be public without that restriction, and a first dataset is expected in about a year.

AIXiaomi MiMo-V2.6-Pro is applied to new materials R&D across literature review, molecular design, and automated dry-lab experiments for PFAS capture. The source offers no benchmark scores, speed, pricing, or availability details.

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.

AIModal 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.

AIPrima 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.

AISara 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.

AIThe 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.

AISara 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.

AIAdaption 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.

AIInception'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.

AISprinklr 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.

AIAn 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.

AIProximal 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.

AIStability 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.

AIGoogle 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.