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Sep 18

Sep 18Fri
  1. Anthropic NewsroomAI score62

    Anthropic partners with Accenture on embedded AI model evaluation

    AIAnthropic is partnering with Accenture, through its specialist AI business Faculty, on independent evaluation of frontier models, including red-teaming, alignment assessments, and safeguard testing. Anthropic and Accenture each expect to invest at least $1 billion in this capacity over five years. The source says embedded evaluators would have employee-comparable access, but standards for access and reporting, and a settled funding system, do not yet exist.

    Why it matters: The source ties a new evaluation arrangement to an unresolved question of who funds and sets standards for independent AI evaluators, which is useful context for governance debates.

Sep 17

Sep 17Thu
  1. KrASIA · Big TechAI score44

    Qianjue founder says robotics will have no single "ChatGPT moment"

    AIQianjue Technology founder Gao Haichuan argues that robotics will not see one breakthrough that suddenly lifts the whole industry, and he judges the company by deployment results rather than research papers. Qianjue, founded in 2023, has completed a Series A+ round worth a nine-figure RMB sum, with first orders coming from restaurant, cleaning, and hotel service robots. Gao says customers care about task completion, failure rates, and price rather than whether a predictive world model is used.

  2. AnthropicAI score38

    Anthropic and Adaptyv Bio launch protein design competition with 5,000 validated designs

    AIAnthropic is partnering with Adaptyv Bio on a protein design competition in which over 5,000 designs will be experimentally validated. Anthropic is providing up to $1 million in Claude credits plus funding for experimental validation alongside Adaptyv, while Modal contributes up to $250,000 in compute and Twist Bioscience supplies DNA.

  3. Understanding AI (Timothy B. Lee)AI score60

    How an Anthropic employee's resignation tweet pushed AI risk into mainstream debate

    AIA tweet from Anthropic employee Jacob Coxon, who resigned saying AI could "kill us all by the end of the decade," was viewed over 170 million times and drew coverage on CNN, CBS, and Fox News. The article says AI risk has become a national political topic, but notes the House has begun a seven-week recess and no AI legislation is likely to pass before the new year.

  4. Sierra BlogAI score38

    Sierra Achieves AIUC-1 Certification for Its AI Agent Platform

    AISierra has become AIUC-1 certified after an independent audit by Schellman and testing by the Artificial Intelligence Underwriting Company (AIUC), a new standard for AI agents that tests resistance to manipulation and unauthorized access. Schellman found that Sierra met all applicable AIUC-1 requirements, and the technical evaluations recur at least quarterly with a full audit each year. The certification complements Sierra's existing SOC 2 Type II, ISO 27001, and ISO 42001 attestations.

  5. Baidu Inc.AI score22

    Apollo Go plans to seek commercial autonomous driving approval in Hong Kong

    AIBaidu's Apollo Go plans to apply for commercial operation of its autonomous driving service in Hong Kong, citing the HKSAR Government's support in its first Five-Year Plan and the 2026 Policy Address. The company says it builds on fully driverless trials already conducted in the city. Baidu hopes Hong Kong can become a global benchmark for commercial autonomous driving in right-hand-drive markets.

Sep 16

Sep 16Wed
  1. Waymo BlogAI score55

    Waymo plans fully autonomous ride-hailing in Singapore by 2028

    AIWaymo announced plans to launch its fully autonomous, all-electric ride-hailing service in Singapore through the Waymo app in 2028, in partnership with the Ministry of Transport and Land Transport Authority. The rollout begins with initial Jaguar I-PACE vehicles arriving in the coming months, followed by a 2027 readiness phase of manual driving to adapt the Waymo Driver to local conditions.

  2. Greg BrockmanAI score62

    Databricks rolls out Astra to all engineers, reports 60% higher coding spend

    AIDatabricks rolled out Astra to every engineer, about 3,500 people, after a pilot with around 200 users. Engineers given Astra increased coding spend by roughly 60% compared to baseline. The company reports Astra outperforms Opus 5 and Sol 5.6 on highly complex system design tasks, but sees no clear gain on medium or low complexity coding. Astra gets a separate sub-budget in Unity Gateway to encourage selective use.

  3. Matei ZahariaAI score58

    Databricks reports engineering measurements from rolling out Astra to 3,500 engineers

    AIDatabricks rolled out Astra to all of its engineers and reported internal measurements. Engineers given Astra increased overall coding spend by around 60% compared with baseline, and Astra outperformed prior top models on highly complex system design tasks, while the gain on medium or low complexity tasks was unclear.

Sep 15

Sep 15Tue
  1. Lewis Tunstall @ COLM 🌉AI score30

    Periodic Labs advances toward cracking condensed matter physics superconductor problem

    AIPeriodic Labs, the team behind high-throughput materials labs in Menlo Park, reports progress on one of condensed matter physics' hardest problems. Its open-source model Neon, trained with mid-training and RL on 1,300 H200s plus months of lab data, surpasses GPT-6 Astra on the company's analysis benchmark. The work targets materials science challenges including superconductors, magnets, and semiconductors.

  2. Sundar PichaiAI score42

    Google outlines AI for science, weather, languages, and economic research

    AIGoogle says it is focusing AI efforts on health, disaster and weather resilience, learning, and economic opportunity. Recent examples include AlphaGenome Atlas, which maps all 9B possible single-letter genetic changes across the human genome and is openly available to researchers, and WeatherNext 3, described as its most accurate and capable global weather AI model to date. The post also cites AI & Economy ATLAS, an open-access look at global AI usage, and says its translation services now cover nearly 300 languages spoken by 7B people.

    Image from @sundarpichai's post
  3. Cognition Blog (Devin, Windsurf)AI score60

    Cognition and AWS sign multi-year deal to deploy Devin for enterprise modernization

    AICognition and AWS have entered a multi-year Strategic Collaboration Agreement to help enterprises deploy the Devin autonomous engineer in production. Devin can be purchased through AWS Marketplace, and the companies are exploring deeper engineering integrations within customers' AWS environments. Mercedes-Benz reportedly used Devin to analyze more than 200,000 lines of COBOL, reducing an estimated eight-month modernization project to eight days.

    Why it matters: The collaboration shows how an autonomous coding agent is being packaged for enterprise legacy modernization inside existing AWS environments, with concrete customer migration figures.

  4. RadixArkAI score42

    Periodic Labs builds Neon on SGLang and Miles for 2.5x faster inference

    AIPeriodic Labs chose SGLang and Miles to build Neon, an open-source model it says surpasses GPT-6 Astra on its analysis benchmark after mid-training and RL on 1,300 H200s. RadixArk says Periodic extended both frameworks for scientific RL at trillion-parameter scale, delivering more efficient training, lower memory use, and 2.5x faster inference. The work has been contributed back to both projects.

  5. Baseten BlogAI score40

    LangChain uses Baseten Loops to train custom models for LangSmith Engine

    AILangChain is using Baseten Loops, a managed fine-tuning service, to train custom models for LangSmith Engine, its in-platform agent that debugs and improves AI agents. The article says LangChain fine-tunes large open-weight models on agent traces and trains smaller open-weight models such as Qwen for tasks like failure-mode categorization. Baseten Loops supports supervised fine-tuning, reinforcement learning, and long-context workloads, and lets checkpoints be evaluated and deployed directly to inference.

  6. Air Street PressAI score39

    Air Street Capital leads $40 million Series A in Jack & Jill, an AI career agent platform

    AIAir Street Capital led Jack & Jill's $40 million Series A, with Madrona joining and Creandum and Entrepreneurs First investing again, following a $20 million seed round less than a year earlier. Jack & Jill uses AI agents named Jack, which helps candidates plan career moves and search job postings, and Jill, which helps companies recruit from opted-in candidates. The company says it has arranged 25,000 interviews and plans 5,000 more each month.

Sep 14

Sep 14Mon
  1. Factory NewsAI score40

    Factory raises $200M at $5B valuation to scale self-improving enterprise software development

    AIFactory has raised $200M at a $5B valuation from investors including Blackstone, Khosla Ventures, and Sequoia Capital, bringing its total funding to over $400 million. The company says it will use the capital to accelerate research, product, and global go-to-market efforts. Factory says hundreds of thousands of developers use its platform, with customers including Nvidia, Blackstone, and T-Mobile.

  2. Waymo BlogAI score40

    Waymo Partners With Allianz Partners on Insurance and Claims Foundation for European Expansion

    AIWaymo is partnering with Allianz Partners to build insurance, claims, and safety research infrastructure for its planned autonomous ride-hailing expansion in Europe, starting with London and Munich. The collaboration will provide tailored fleet insurance, liability protection, and digital claims handling, plus joint crash analysis and safety modeling research. Waymo cites a 16x reduction in serious injury crashes compared to human drivers in cities where it operates.

  3. InferactAI score42

    Inferact and Google Cloud partner to make TPUs first-class in vLLM

    AIInferact and Google Cloud announce a partnership to make Google TPUs a first-class platform in the vLLM open-source project. The collaboration targets production serving features, optimized kernels, a native PyTorch path via TorchTPU, and day-0 support for frontier model releases. A community program will offer shared TPU capacity and review and design help from vLLM core maintainers, with all outputs released as open source.

    Image from @inferact's post