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  2. Lydia Hallie
    AI score36

    Lydia Hallie: Dynamic workflows don't need to pile up hundreds of sub-agents

    Lydia Hallie said that dynamic workflows don't need to contain hundreds of sub-agents, and she also uses about 10 sub-agents to handle any task she wants to run repeatedly in the same way. She pointed out that a dynamic workflow is an editable JavaScript file, so it gives full control over the sub-agents and their execution order, making it more predictable than skills.

    #English text is being prepared.#Agents

  4. AI at MetaFirst-party
    AI score23

    Meta Opens Muse Series Models to Five U.S. Universities to Support Research

    Meta announced support for research at five universities—Caltech, Ohio State Med, LSU, Indiana Univ, and UTHealth Houston—opening its latest Muse models (Muse Wonder, Muse Spark), open-weight models Muse Glimmer and Muse Spark Open, computer vision models such as SAM, V-JEPA, and DINO, and the multilingual model SeamlessM4T to researchers. These universities will use the models for directions including mathematical and physical science research, X-ray screening and heart failure detection, infant tracheostomy monitoring, maternal and newborn care, and brain cancer treatment.

    Same story · 2 reports

    #Industry news#OpenAI

  5. AI at MetaFirst-party
    AI score31

    Meta Supports Five Universities in Advancing Scientific Research and Healthcare with Muse Models

    Meta announced support for research at five universities—Caltech, Ohio State Med, LSU, Indiana University, and UTHealth Houston—opening Muse Wonder, Muse Spark, the open-weight models Muse Glimmer and Muse Spark Open, as well as SAM, V-JEPA, DINO, and SeamlessM4T to researchers. Caltech will test whether large language models can accelerate research in mathematics and physics, while UTHealth Houston will use Muse Glimmer, one of the smallest open-weight models, to improve brain cancer treatment and conduct benchmark testing of agents in healthcare scenarios.

    #Industry news#Open-source ecosystem#English text is being prepared.

  7. indigo
    AI score25

    indigo summarizes Dan Koe: In the AI era, creators stand out through their viewpoints

    indigo summarizes Dan Koe's viewpoint: creators fall into three tiers, moving from influencers dominated by attention, to personal brands dominated by conversion funnels, and on to "thought craftsmen" who use social media to nourish a lifelong body of work. AI can generate 1,500 words of beautiful nonsense in 10 seconds; the only irreplaceable asset is the "framework for explaining reality" formed by the compounding of personal experience, and the solution is to build a museum of ideas and write 5 refracted angles on common viewpoints. The four-week roadmap runs from saving 1 idea a day and reverse-engineering 3 mid-tier creators, to using a 1-page guide to collect an email list and expand it into a digital product.

    Quoted postDAN KOE · @thedankoe

    https://t.co/OXHQ3woHtW

    #English text is being prepared.#English text is being prepared.

  8. Shao MengProduct release
    AI score63

    Apple Creator Studio Major Update: Final Cut…

    Apple Creator Studio has received a major update. Final Cut Pro, Motion, Pixelmator Pro, Logic Pro, as well as Keynote, Pages, and Numbers have all added natural language assistants and generative editing. Most are in beta, depend on devices that support Apple Intelligence, and currently only support US English. The three office apps have added MCP support, allowing external AI Agents and tools to directly read content, revise drafts, and perform automated operations. Keynote has also introduced an open JSON-based package format, .keyx, making it easier for external tools and Agents to read.

    Same story · 9 reports

    #Product updates#Agents#English text is being prepared.

  9. Shao MengProduct release
    AI score73

    Entire Launches a New Generation of Git Hosting for Human-AI Collaborative Coding

    Entire, founded by the former GitHub CEO, has launched a new generation of Git hosting that reworks code hosting, review, CI, and Agent session memory around human-AI collaboration. It uses Trail to replace the diff-centric PR timeline; each push is scored by a review Agent in a cloud sandbox and tracks unresolved issues, calling Claude Code, Codex, and others under the hood, with sandboxes provided by Daytona and E2B. Its self-developed Git service offers its own open-source benchmark, claiming pushes are up to about 89 times faster than GitHub, and it has integrated Buildkite and Depot as CI.

    #Product updates#Agents#English text is being prepared.

  10. Shao Meng
    AI score38

    OpenAI Software Engineer Interview Process Retrospective: Including an Optional Agentic Coding Round

    A 2026 OpenAI SWE interview retrospective shows that the process includes a recruiter screen, two technical screens of about 60 minutes each on the same day, a take-home assignment of about 48 hours, a technical deep dive that probes the code line by line, and 4 onsite rounds. The onsite coding includes a progressive multi-part problem (such as token-level streaming diff and rollback), and the system design question is "Design ChatGPT," involving GPU allocation and autoscaling under non-stationary traffic. There is also an optional fifth round, Agentic Coding, in the beta stage, which requires using an AI coding agent to handle problems in large codebases that are difficult to address by hand.

    #Industry news#English text is being prepared.#Agents

  11. Kling AIFirst-party
    AI score25

    Kling AI Becomes Exclusive Technology Partner of Animated Film "Minibots"

    Kling AI has announced that it is joining EvoFilmsUK's animated feature film "Minibots" as an exclusive technology partner, with the film supported by Kling 4.0 technology. The film is directed by John Adams and produced by BAFTA-nominated producer Diane Shorthouse, with character design by Tony Bancroft, co-director of "Mulan," and screenplay by Michael Ferris of "Terminator 3." It has already been presented at the Cannes and TIFF film markets and is scheduled for release in 2027.

    #Industry news#Video#Multimodal

  14. Vaibhav Srivastav
    AI score25

    Vaibhav warns against casually switching Codex's default models

    In response to suggestions to switch the Codex Dreaming V3 memory system's default models to gpt-6-luna and gpt-6.1-terra, Vaibhav Srivastav warns: unless you truly know what you're doing, don't switch the models, because the prompts for these models are carefully calibrated for the default models.

    Quoted postDan McAteer · @daniel_mac8

    Codex's Dreaming V3 memory system uses GPT-5.6 Luna and Terra by default. Upgrade by copying the following into config.toml: extract_model = "gpt-6-luna" consolidation_model = "gpt-6.1-terra" Both models are more intelligent AND cheaper than their predecessors. It's better than a free lunch. It's like getting paid to eat lunch.

    #English text is being prepared.

  15. Testing Catalog
    AI score46

    OpenAI Expands Partnership with Oracle, Oracle Apps Integrated into ChatGPT

    OpenAI announced an expansion of its partnership with Oracle to bring Oracle applications and data into ChatGPT. US users can purchase API, Codex, and ChatGPT Work through Oracle Marketplace; Oracle also released Oracle AI Security Mesh, Oracle AI SMB Bundle, and Oracle App Composer, built on OpenAI models and tools.

    Quoted postDerrick Choi · @derrickcchoi

    Big news with @Oracle! Bringing Oracle apps and data into ChatGPT, with new offerings powered by OpenAI. US customers can now buy API, Codex & ChatGPT Work via Oracle Marketplace using eligible credits. Also 130K ChatGPT + 95K+ Codex users now! https://t.co/E1DQElIGdQ

    Same story · 6 reports

    #Industry news#OpenAI#English text is being prepared.

  16. Testing CatalogModel releases
    AI score81

    Google releases Gemini 4 Carbon, claims top ranking on Artificial Analysis V5

    Google has released a new model, Gemini 4 Carbon, claiming it ranks first on Artificial Analysis V5 and is being made available first to cybersecurity defenders. The model shows notable improvements on coding and agentic tasks, scoring 88.2% on SEC-bench Pro vulnerability discovery, 54.8% on ExploitGym exploitation, and 71.0% on CWE-bench patching. Logan Kilpatrick said it is a big jump over Argon, which was released just two weeks ago, achieves SOTA on long-horizon tasks, and shows improvements in usability and alignment.

    Quoted postLogan Kilpatrick · @OfficialLoganK

    Introducing Gemini 4 Carbon, it's a big jump over Argon which we released just 2 weeks ago. Gemini 4 Carbon is SOTA on cyber, long horizon tasks, ranks #1 on Artificial Analysis V5, significantly improves on usability in domains like coding, and is more aligned. https://t.co/Ikk9YedjCQ

    Same story · 34 reports

    #Model releases#Google#Evaluations / benchmarks

  17. Testing CatalogAnalysis
    AI score70

    Gemini 4 Carbon Tops Text Arena, Ranks Second in Agent Arena

    Gemini 4 Carbon (High) took first place in Text Arena with 1528 points, surpassing Gemini 4 Argon (High)'s 1520 points. It ranks second in Agent Arena, behind only Claude Opus 5.5, and has entered a new Pareto frontier; in Web Dev Arena it ranks fourth with 1768 points, two points behind third-place Claude Sonnet 5.5. Arena data states its median cost per Agent Arena task is $1.80, 72% lower than top-ranked Claude Opus 5.5 (Max). Its Artificial Analysis V5 score is 59.

    Quoted postArena.ai · @arena

    Exciting news: Gemini 4 Carbon (High) from @GoogleDeepMind just made a huge debut on Arena, landing #1 in Text Arena, #2 in Agent Arena, and #4 in Code Arena: WebDev. Back at the top, Gemini 4 Carbon delivers frontier intelligence and reshapes the Pareto frontier across three arenas. In Agent Arena, Gemini 4 Carbon ranks #2 with a +16.2% net improvement across +21.9K real-world agentic sessions from our global community, surpassing top models GPT-6 Astra and Fable-5.1. At $1.80 median cost per task, Gemini 4 Carbon (High) costs 72% less than the #1 ranked Claude Opus 5.5 (Max). Its standouts by key signals: - #1 Steerability (+18.6%): can the model course-correct when you push back? - #2 Praise vs Complaint (+37.9%): implicit sentiment in users' reactions - #3 Confirmed Success (+18.7%): explicit “yes, that worked” from users In Code Arena: WebDev, Carbon scored 1768 pts landing #4: - Just 2 pts below #3 Claude Sonnet 5.5 (xHigh), at 1770 pts - 89 pts above #11 Gemini 4 Argon (High), at 1679 pts By category, it ranks #3 in Gaming and Simulations, and #5 in Brand & Marketing. In Text Arena, Gemini 4 Carbon (High) is the new #1 with 1528 pts, now ahead of Gemini 4 Argon (High) at #2 with 1520 pts. Congrats to the @GoogleDeepMind team on this huge milestone!

    Same story · 2 reports

    #Evaluations / benchmarks#Google#Agents

  18. Testing Catalog
    AI score40

    AI/ML API launches Jev Router, automatically selecting models by difficulty

    AI/ML API has released Jev Router, an MCP connector for agent tools. It uses TypeSafe's Jev to assess the difficulty of each request and then automatically selects the model and tools. Simple requests are routed to lightweight models such as GPT-6 Luna, while high-difficulty reasoning requests go to Claude Opus 5.5, avoiding paying flagship-model rates for simple tasks. Users only need to provide the task; Jev Router first selects the model and tools such as web search and page extraction, then returns the result.

    #Product updates#English text is being prepared.#Agents