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All AI news

Today 8 items
Oct 9Fri
  1. TechCrunch · AI68

    OpenAI’s math solutions aren’t meeting the field’s standards yet

    OpenAI this week released hundreds of mathematical proofs claiming to solve major open problems, but several requirements in the AGMAI guidelines from Princeton's Institute for Advanced Study were unmet: of 719 submissions, only 10 included the model's chain of thought, only 42% of proofs went unformalized, and the required machine-readable metadata linking natural language to formal artifacts was not provided.

  2. TechCrunch · AI59

    Anthropic changes usage policy to ban model abuse and election interference

    Anthropic has updated its usage policy, adding bans on election interference, weapons software, and surveillance, as well as an explicit prohibition on sustained verbal abuse of models. The policy says the abuse clause applies only to extreme cases where users repeatedly and purposelessly mistreat the model, and does not cover common frustration, dark creative themes, or model testing research. A separate section bans using Claude to run fake accounts, fictional news outlets, and voter deception.

  3. TechCrunch · AI77

    OpenAI’s revenue is reportedly $20 billion less than previously projected

    According to the Financial Times, OpenAI has told investors its annualized revenue is close to $50 billion, about $20 billion below the previously circulating $70 billion figure. That earlier number came from estimates by OpenAI investors for direct comparison with Anthropic's annualized revenue, and the two companies calculate it differently: Anthropic includes cloud partners' sales while OpenAI does not.

    Why it matters: The report explains the accounting differences and their connection to fundraising and IPO plans, helping readers understand the context behind this revenue revision.

  4. The Verge · AI59

    USA Today becomes the latest publisher to sue OpenAI

    USA Today Co., together with several of its local newspapers, is suing OpenAI, accusing it of copying hundreds of thousands of articles without authorization to train AI models and seeking more than $250 million in damages. The suit says OpenAI never sought permission and built products worth hundreds of billions of dollars from its content; local outlets including The Tennessean, Indy Star, The Columbus Dispatch and The Oklahoman are also plaintiffs. OpenAI has not responded to a request for comment.

  5. Latent Space53

    Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk

    The Latent Space podcast interviews Periodic Labs co-founders Liam Fedus and Ekin Dogus Cubuk about their "synthesis superintelligence" vision: building reinforcement learning environments around physical labs where AI agents learn through an end-to-end cycle of predicting, synthesizing and characterizing materials, rather than relying only on internet data.

  6. TechCrunch · AI53

    Goodfire says its new ‘inside-out’ monitors catch rogue AI agents at a fraction of the cost

    Interpretability startup Goodfire has launched a monitor that reads signals inside the model rather than having an external AI re-read outputs, now available to Baseten customers. In tests on Kimi K3, monitoring about 1,500 sessions cost roughly $51, far below $233 for step-by-step checks by cheap AI models and about $10,000 for top models; the probes caught 94% of malicious intrusion sessions with an 8.7% false-positive rate on harmless sessions, and running four probes in parallel added less than 2% response latency.

Oct 8Thu
  1. The Verge · AI55

    Google’s AI note-taking app transcribes your meetings completely offline

    Google has released Google AI Edge Foresight, an experimental note-taking app that transcribes meetings and audio files completely offline for free, running on macOS via the on-device EmbeddingGemma 2 model. The app can jot brief points during meetings and generate full notes, and a built-in assistant can answer questions about the content with citations to local files; Google says files, audio, and notes never leave the computer, and it is currently optimized only for Apple Silicon Macs.

  2. The Decoder44

    AI math breakthroughs have Ethereum researchers debating how fast wallet security could collapse

    Two Ethereum researchers warn that AI-assisted math advances could, in a worst case, break the signature schemes behind crypto wallets within months. Justin Drake called on X for the industry to prepare "bunker mode", moving funds to addresses that have never signed a transaction, since signatures expose public keys; Vitalik Buterin agreed but cautioned about migration mistakes, and long advocated relying only on hash functions. The ECDSA signature scheme has not actually been broken yet.

  3. Ars Technica · AI38

    Nvidia's big bet on physical AI aims for safer robotaxis, humanoid robots

    Nvidia's Halos operating system targets physical AI, continuously monitoring every hardware module and software library to quickly detect failures and isolating safety-critical compute workloads. The suite also includes the Holoscan Sensor Bridge, virtual environment simulation testing, and a safety inspection lab program, and has expanded from autonomous driving to robotics. Because safety definitions differ vastly between a robot vacuum and a warehouse forklift, Halos offers a programmable interface so developers can customize safety features without breaking the underlying infrastructure.

  4. The Decoder78

    AI-powered hacking tools enabled a likely single attacker to breach multiple South Korean banks

    CrowdStrike reports that a suspected Chinese speaker attacked multiple South Korean financial institutions from late September to early October 2026, stealing large amounts of data, including more than 25,000 records from Shinhan Bank containing names, contact details, income and credit limits.

    Why it matters: The article gives concrete details of how a single attacker used an open-source AI penetration testing tool to breach multiple South Korean banks, showing how AI tools are lowering real-world attack barriers.

  5. MIT Technology Review · AI26

    Building a safer path to autonomous industrial AI

    AVEVA CTO Arti Garg discusses how foundation models, physical AI, and agentic AI are pushing industrial automation into a new phase, with research showing industrial AI adoption has grown about 78% over the past two years. She stresses that AI should augment rather than replace human judgment in critical decisions, and AVEVA's responsible AI framework emphasizes safety, efficiency, and human oversight. She also serves on an IEEE working group creating standard methods for measuring AI's environmental impact in terms of power, water, and carbon.

  6. Semiconductor Engineering Chips and Packaging20

    Perspectives On Test: System Level Test For AI & Data Centers

    Ben Mitchel, senior director of Teradyne's Integrated System Test division, explains why system-level test has become critical for mass production of AI and data center equipment. These devices use multi-chiplet designs and draw thousands of watts, requiring testing under real-world conditions. The Titan HP platform delivers the power, thermal management, and throughput such devices demand.

  7. Semiconductor Engineering Chips and Packaging21

    The FAaST Track: Enabling Advanced Packaging Through Electrical Process Control

    Semiconductor process control is shifting from visual inspection to electrical measurement. In advanced packaging, residual charge and static accumulation are hard to detect with conventional inspection and metrology, yet they affect yield, device reliability and manufacturing consistency; the problem grows worse with hygroscopic films, dielectric layers and plasma processes. Onto Innovation offers full-wafer mapping and panel-level high-resolution mapping to locate local non-uniformities and hotspots.

  8. Semiconductor Engineering Chips and Packaging21

    From Process Learning To Production Control: Trends In Advanced Packaging And Implications To Characterization And Test

    As heterogeneous integration evolves from 2.5D interposers and CoWoS to hybrid bonding and 3D stacking, the yield sensitivity and defect mechanisms of advanced packaging differ sharply from front-end logic and standard packaging, and the industry has long lacked dedicated metrology, characterization and analysis frameworks. The article presents an integrated methodology to accelerate advanced packaging process development and sustain production control.