Skip to contentSkip to stories

Updated

All AI news

Items with an AI score under 20 are hidden. Show low-relevance items

Oct 8

Oct 8Thu
  1. François CholletAI score40

    Chollet: AI progress tracks exponential growth while capex grows faster

    AIFrançois Chollet argues that most AI progress measures from 2023 to 2026 fit an exponential curve, while AI capital expenditure over the same period has grown slightly super-exponentially. He concludes that such externally funded growth is unsustainable, so sustained exponential progress will require matching exponential profits to close the resource loop.

  2. Prime IntellectAI score52

    Alzheimer's Translation Challenge launches with 150M cell atlas for AI hypothesis discovery

    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.

    Video from @PrimeIntellect's post
  3. SiliconANGLE · AIAI score36

    CoreWeave Forge Aims to Speed Up the AI Agent Improvement Loop

    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.

  4. MIT News · AIAI score34

    MIT's Sasha Rakhlin outlines how universities should respond to AI in research and training

    AIMIT Statistics and Data Science Center director Sasha Rakhlin argues that AI progress is fastest where results can be verified quickly, citing a model reaching gold-medal level at the International Mathematical Olympiad a year before models produced new research results. He says departments should reconsider how they reward work, emphasizing question-asking, replication, and disclosure of AI's role in a researcher's contributions. He also urges universities to build shared lab infrastructure that captures failed experiments and tacit expertise.

  5. CNBC · TechnologyAI score52

    AI stocks fall after OpenAI revenue figure comes in below earlier reports

    AIOpenAI told investors it reached roughly $50 billion in annualized revenue at the end of September, below the $68 billion figure widely reported last month. Nvidia, Oracle, and CoreWeave shares fell on Thursday, with a person familiar saying the $68 billion figure included partner gross revenue. OpenAI is also weighing a possible funding round of around $30 billion and has not finalized a term sheet.

  6. Midjourney UpdatesAI score46

    Midjourney Tests Thinking Mode for Image Generation on Alpha Site

    AIMidjourney is testing a "Thinking Mode" on its Alpha website, where users can click "Rerun (Thinking)" in a job's lightbox to regenerate an image. The company says early tests show gains in prompt accuracy, typography, and coherence, and it is asking users to share feedback in its #ideas-and-features channel. It may later offer the mode broadly or as an option to add more thinking after a job.

  7. Midjourney UpdatesAI score25

    Midjourney Adds Shared Folders and Thinking Mode in Alpha Update

    AIMidjourney's alpha site now lets users share folders with others as Collaborators or Viewers, with sharing by link also available. A new thinking mode lets users rerun jobs made with 8.2 standard and edit models to fix missed prompt details such as objects, layout, anatomy, and text. Sharing does not change image privacy, so non-stealth images can still appear on Explore and profiles.

  8. Wired · AIAI score36

    Elon Musk's America PAC Spends Millions on 2026 Midterm Senate Races

    AIElon Musk's America PAC is spending millions on the most consequential Senate races of the 2026 midterms, with most of its money opposing Democrats rather than supporting Republicans. WIRED reports that for every dollar the PAC spent backing a Republican candidate, more than two went to oppose a Democrat. In Texas, the group has spent about $9 million attacking Democrat James Talarico versus roughly $1 million promoting Ken Paxton.

  9. The Robot ReportAI score36

    SafeWorld Emerges From Stealth With $12.2M Seed to Simulate Robot Safety Testing

    AISafeWorld emerged from stealth this week with $12.2 million in seed funding for its robot safety simulation platform. The software lets teams build test scenarios from past incidents, safety standards, and robot logs, then runs robots through thousands of variations with reactive human motion. SafeWorld said it supports robot arms, humanoids, and mobile robots, with customers in industrial, manufacturing, logistics, and construction.

  10. NVIDIA NewsroomAI score46

    Developers Use Frontier AI Agents to Build NVIDIA Omniverse Simulations

    AINVIDIA developers are pairing frontier AI models, including GPT-6 Astra and Claude Fable 5, with Omniverse libraries to turn simulation ideas into working applications. Examples include a humanoid warehouse simulator, an autonomous-driving testing workflow, and sensor-matching digital twins. The projects are guided through natural-language instructions and reviewed by developers.

  11. NVIDIA BlogAI score49

    How Developers Use Frontier AI Agents to Build Omniverse Simulations

    AIDevelopers are pairing frontier AI models with NVIDIA Omniverse libraries to turn simulation ideas into working applications, from humanoid warehouse simulators to autonomous-driving test environments. In the examples, developers direct AI agents through natural-language instructions and review results, while Omniverse provides GPU-accelerated physics, rendering and sensor simulation. One experiment reported a simulated Unitree G1 humanoid clearing a hurdle in 64 of 100 trials.

  12. Databricks BlogAI score29

    Biomedical Imaging's Real Bottleneck Is Data Access, Not AI Models

    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.

  13. NVIDIA Technical BlogAI score26

    How to create SimReady robotics assets from CAD with frontier AI models

    AINVIDIA's Omniverse libraries, guided by SimReady Foundation specifications and agentic NVIDIA skills, provide a structured workflow for converting CAD assets to OpenUSD for robotics simulation. The workflow covers configuring and validating materials, collision geometry, joints, and other physics properties before testing robot behavior.

  14. SiliconANGLE · AIAI score62

    Manus raises over $500M at reported $4B valuation after Meta deal collapsed

    AIManus, the developer of the Manus AI agent, has raised more than $500 million led by Boyu Capital, with Tencent also investing. Bloomberg had reported a $4 billion valuation, roughly double Meta's reported offer last December, which Chinese regulators blocked in April. The funding comes days after Manus 2.0 added a new harness, Cloud Computer, and Cue, which lets agents use email accounts and digital wallets.

  15. Andrew CurranAI score28

    Association for Human Mathematics sets three vows against AI in math

    AIThe Association for Human Mathematics requires members to take three vows opposing AI use in mathematics. Members must not provide technical labor, knowledge, consultation, or publicity to commercial AI companies, and must not publish AI-generated mathematical texts, including papers, referee reports, and lecture notes. Members of its AI-free caucus also must not use AI models in research.

    Image from @AndrewCurran_'s post
  16. laurenAI score38

    Lauren Tan argues PR volume matters now that agents make coding machines universal

    AILauren Tan argues that with frontier AI agents, anyone can produce code at machine speed, so PR volume now signals productivity alongside impact. She says the bottleneck is trust in agent output, and that higher token costs are worth it compared with hiring many engineers. She frames the engineer's job as building the software-producing machine rather than writing code directly.