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Oct 9

TodayOct 9Fri23 items
  1. Artificial AnalysisAI score50

    Ideogram 4.5 keeps edited photos intact over 30 consecutive edits

    AIArtificial Analysis ran four image editing models through 30 consecutive edits of the same real estate photo, with each model editing its previous output. Ideogram 4.5 and FLUX 3 left 95% or more of the image essentially untouched on small edits, while GPT Image 2.5 Sunburst re-rendered most of the image each time, leaving only about a fifth unchanged. Nano Banana 2.1 edited locally but shifted and gradually darkened the rest of the image.

    Video from @ArtificialAnlys's post
  2. RadixArkAI score28

    Miles v0.1.2 adds Kubernetes support and torchtitan training backend

    AIRadixArk releases Miles v0.1.2, adding score centering for stable async RL and an experimental native Kubernetes backend. RL jobs can run as ordinary cluster workloads, and orchestration can restart while training continues. The release also adds torchtitan as a third training backend alongside Megatron and FSDP, plus support for DeepSeek-V4.1-Flash and MiMo-V2.6-Flash-RL.

    Image from @radixark's post
  3. Ai2 (Allen Institute for AI)AI score46

    Ai2 describes GPU time budgets that replaced its priority-based cluster scheduler

    AIAi2's AI Infrastructure team replaced its priority-based scheduler for GPU clusters with GPU time budgets, hierarchical fair-share allocation, and a time-slicing contract. The team says the change moved debates over how much GPU time each research project deserves from case-by-case operational decisions into a transparent budgeting process. The clusters range from 88 to 1024 GPUs across NVIDIA H100, B200, and B300 hardware, and serve about 150 internal researchers.

  4. Hugging Face BlogAI score38

    Ai2 replaces priority scheduler with GPU time budgets for cluster allocation

    AIAi2's AI Infrastructure team replaced its priority-based GPU cluster scheduler with a system using GPU time budgets, hierarchical fair-share allocation, and a time-slicing contract. The team says the change turns decisions about how much GPU time each research project receives into a transparent administrative budgeting process. Its clusters, which range from 88 to 1024 GPUs including H100, B200, and B300 units, serve about 150 researchers facing demand two to three times available capacity.

  5. Rohan PaulAI score46

    Sabi raises $50M to build AI brain-reading baseball cap

    AISabi has raised a $50M seed round led by Vinod Khosla and Accel to build a baseball cap that turns brain signals into AI prompts. The cap can hold up to 100,000 sensors of 1 to 5 millimeters each, feeding a brain foundation model trained on 100,000 hours of labeled neural recordings. Sabi says the cap can predict a user's next 3-4 keystrokes from brain signals before they type them.

    Image from @rohanpaul_ai's post
  6. SantiagoAI score43

    Sabi raises $50 million for a wearable brain-to-text cap

    AISabi has raised $50 million from Khosla Ventures, Accel, Initialized, Kevin Weil, and DST Global to build a wearable brain-computer interface. The company says its TSMC-fabricated chip reads brain signals without touching the scalp, with custom sensors collecting data and its own AI model decoding it into text. The device is a cap rather than an implant.

  7. Baseten BlogAI score61

    How to choose which layers to run at NVFP4 quantization precision

    AIBaseten explains how to decide which layers of a model can run in 4-bit NVFP4 without losing needed information. The post compares architecture-based heuristics, isolated-layer sensitivity scoring, and SaturationQuant, which accounts for other quantized layers. It also covers calibration with representative data and block-level scales of 16 values.

    Why it matters: The post explains how to choose which layers run at NVFP4 precision using heuristics, sensitivity scoring, and saturation-aware scoring, with clear calibration steps.

  8. DatabricksAI score25

    Databricks pairs Temporal and Lakebase for durable cloud agents

    AIDatabricks has published a reference implementation pairing Temporal with Lakebase Postgres so cloud agents can survive worker, container, or deployment replacement. The design keeps recorded work and evidence and review state queryable, and lets human decisions arrive days later. Unity Catalog remains the governed policy source through synced tables.

    Image from @databricks's post
  9. Rohan PaulAI score46

    Microsoft's TeleTune evolves agent skills from raw usage logs

    AIMicrosoft researchers present TeleTune, which lets agents learn software skills from raw usage logs by keeping only skill edits that better predict users' next actions. The method needs no live test environment, because next-action accuracy on held-out logs tracked live success. Unlike earlier methods such as Agent Workflow Memory, which need goal-labeled examples or a live environment, TeleTune guesses each session's goal and uses wrong guesses to suggest edits to a text skill library.

    Image from @rohanpaul_ai's post
  10. LeiphoneAI score42

    Ex-ByteDance intern Tian Keyu's secretive world-model lab reportedly raises at $200M valuation

    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.

  11. LeiphoneAI score42

    Credo moves into optical chips with DSP, PIC and diagnostics in one 1.6T module

    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.

  12. The DecoderAI score54

    Anthropic's Claude Science maps the full sky in ultraviolet light

    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.

  13. NVIDIA · new models on Hugging FaceAI score16

    NVIDIA releases Agile One S SSD Pick GR00T N1.7 checkpoint 40000 model on Hugging Face

    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.

  14. GeekParkAI score62

    Krinwave raises 400 million yuan to bring brain imaging ultrasound to AI

    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.

  15. QbitAIAI score44

    Sharpa unveils D01 humanoid robot, W02 dexterous hand, and AE01 haptic glove at IROS

    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.

Oct 8

Oct 8Thu
  1. PandailyAI score46

    ByteDance Seed Finds Periodic Weak Spots in Chunked KV-Cache Compression

    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.

  2. PandailyAI score52

    Huawei's KV cache storage faces a missing SSD endurance standard

    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.

  3. PandailyAI score41

    Simplexity Robotics Trains One Robot to Tend Two CNC Lathes With 600 Trajectories

    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.

  4. QbitAIAI score58

    AgentGarten lets agents evolve through code-built worlds and neural rendering

    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.

  5. PandailyAI score55

    Chinese Team Publishes 3D Cell Atlas of Rice's Full Life Cycle in Cell

    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.

  6. LeiphoneAI score46

    Huawei and Nvidia Move KV Cache Into Dedicated Storage, but SSD Specs Remain Undefined

    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.

  7. LeiphoneAI score54

    Simplexity Robotics uses robots to tend CNC lathes at 0.5 mm tolerance

    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.

  8. LeiphoneAI score38

    BASAL Intelligence, founded by Tsinghua AIR's Li Jianxiong, raises funding for action-native embodied models

    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.

  9. MarkTechPostAI score48

    Laya Open-Source Decision Engine Tutorial: Zero-Shot Decisions and Calibration

    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.

  10. SiliconANGLE · AIAI score34

    Caterpillar and CoreWeave Shorten Physical AI Learning Loop for Construction Machines

    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.

  11. The Guardian · AIAI score40

    Kenya's Kakuma refugees power tech microwork for dwindling, uncertain pay

    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.

  12. The DecoderAI score62

    Biohub coordinates $1.8 billion effort to build AI models that predict cell behavior

    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.

  13. Databricks BlogAI score40

    Databricks Launches Beta Workday Data Connect Federation for Unity Catalog

    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.

  14. Databricks BlogAI score40

    Funke Brings Native HL7v2 Parsing to Databricks Lakehouse

    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.