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  • HiFi-Inpaint: ByteDance AI Framework for Detail-Preserving Product Images
    HiFi-Inpaint: ByteDance AI Framework for Detail-Preserving Product Images

    By

    @jiqizhixin

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    How do you get AI to create stunning product images without losing crucial details? ByteDance and a collaboration of top universities present HiFi-Inpaint. This novel AI framework employs 'Shared Enhancement Attention' to meticulously refine fine-grained product features and 'Detail-Aware Loss' for pixel-perfect guidance, supported by a new large-scale dataset, HP-Image-40K. HiFi-Inpaint achieves state-of-the-art performance, generating human-product images with unprecedented detail preservation, set to transform digital marketing and e-commerce visuals. HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Paper: arxiv.org/abs/2603.02210  Project: correr-zhou.github.io/HiFi-I… Our report: mp.weixin.qq.com/s/xoIJU4fBc… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin, 2026-04-05 07:02 UTC

  • Gemma 4 Model Ranking and Style Control Stability

    By

    @petergostev

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    You can toggle style control on and off (this is exactly to account eg for length and formatting) to see the difference, some models move a lot but Gemma 4 is pretty stable – 27th and 25th rank for 31b. I'm confused by all the cope about this model ranking so high, it genuinely

    → View original post on X — @petergostev

  • GPT-5.5 ‘Spud’ Leaks: OpenAI’s Omnimodal AI Frontier
    GPT-5.5 ‘Spud’ Leaks: OpenAI’s Omnimodal AI Frontier

    By

    @ceobillionaire

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    GPT-5.5: The “Spud” Leaks & The New Frontier of Omnimodal AI – A New Foundation: Unlike incremental updates, GPT-5.5 (codenamed “Spud”) is rumored to be a completely new pre-trained base, built on nearly two years of focused research. – Big Model Smell: OpenAI’s Greg Brockman points to a major qualitative shift models becoming less rigid and more intuitive, adapting to user intent without over-explanation. – Omnimodal & Agentic: Designed as a natively omnimodal system, GPT-5.5 is expected to function as a highly autonomous agent rather than a traditional chatbot. – Extreme Time Horizons: A key goal is extending long form reasoning handling complex, open-ended tasks over significantly longer timeframes. – Unlocking New Abilities: Early signals suggest it can solve tasks that previously required heavy prompting or weren't feasible for LLMs at all. – The Arena Tease: Rumored first-pass image generations are already surfacing in AI arenas, hinting at early testing or a near-term reveal. – The Pricing War: While competitors like Claude Mythos are rumored at $100 per 1M tokens, OpenAI may price GPT-5.5 more aggressively to drive adoption. – Imminent Rollout: Following recent hints from leadership, “Spud” could arrive soon as a key step toward OpenAI’s broader AGI push. (Unverified leaks; treat performance claims, naming, and timelines with caution.)

    → View original post on X — @ceobillionaire, 2026-04-05 06:00 UTC

  • README-Driven Development with Claude Code for Tool Building

    By

    @simonw

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    I built this one using README-driven-development: I hand crafted a detailed README describing exactly how the tool should work… then dumped that into Claude Code and told it to build it gisthost.github.io/?d4b1a398…

    → View original post on X — @simonw, 2026-04-05 04:20 UTC

  • Codex App Server Enables Easy Agentic App Development

    By

    @gdb

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    Codex app server makes it easy to build your own agentic apps: am.will (@LLMJunky) The Codex app server was such a brilliant stroke of foresight that really doesn't get enough love Not only are you allowed to use your chatgpt account with any harness, but you can build your own apps directly on top of theirs. They just make building on and with codex such a great experience To demonstrate this utility, I want to highlight the kitty litter app, made by @SIGKITTEN. Instead of having to build the entire harness, and all the infrastructure, he's plugged into the app server for a unified experience between mobile and dev machine. When I create a session on my computer, it's automatically available on my phone. All of the chats you see in this video automatically populated when we connected to the app server. All my skills. My agents. My sessions. My folders. My prompts. They're all ready to use – automatically. Because they're exposed by the app server, along with many other endpoints. It's a great ux/dx that really deserves some love. It's almost like they want you to build on top of their products 😉 Btw Litter is great 👍 — https://nitter.net/LLMJunky/status/2040506388292546761#m

    → View original post on X — @gdb, 2026-04-05 03:18 UTC

  • One-Person Billion Dollar Companies: The AI-Powered Future

    By

    @ceobillionaire

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    THE ONE PERSON $1B COMPANY ERA IS STARTING TO LOOK REAL. One founder, six AI departments, and zero employees sounds insane until you realize the whole stack is already here.

    → View original post on X — @ceobillionaire, 2026-04-05 03:15 UTC

  • Gemma 4-31B Ranks #27, Outperforming GPT-5.2 and Qwen3.5
    Gemma 4-31B Ranks #27, Outperforming GPT-5.2 and Qwen3.5

    By

    @deeplearn007

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    After thousands of additional votes in head-to-head competition, Gemma4-31B continues to score #27 ahead of Qwen3.5-397b, Ernie-5, and GPT-5.2-high. David Hendrickson (@TeksEdge) 🚨 Big 📏 News! @Google's new Gemma 4 -31B (dense) and Gemma 4-27B A4B (MoE) scored #27 and #40, respectively on @arena. 🦾 Dense #⃣ > than MoE! 👀 👇 🎯 Gemma 4-31B scores better than; ☑️GPT-5.1 ☑️GPT-5.2 ☑️GPT-5.2-high ☑️ Qwen3.5-2-397b-a17B 💳 Q4-RTX-5090 @ 50-80 tps? @JeffDean @demishassabis — https://nitter.net/TeksEdge/status/2040226061355774348#m

    → View original post on X — @deeplearn007, 2026-04-05 02:48 UTC

  • Microsoft’s Copilot Proliferation: 78 Products and Counting
    Microsoft’s Copilot Proliferation: 78 Products and Counting

    By

    @pmddomingos

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    Microsoft has become Megabloat. Bearly AI (@bearlyai) Tey Bannerman counted up all the products and tools that Microsoft has named “Copilot”. Found 78 of them: “there are now Copilots inside Copilots, Copilots for other Copilots, and a physical Copilot key on your keyboard for summoning them.” — https://nitter.net/bearlyai/status/2040548562053050749#m

    → View original post on X — @pmddomingos, 2026-04-05 02:39 UTC

  • chat.sakana.ai Weekend Usage Report and Creative Applications
    chat.sakana.ai Weekend Usage Report and Creative Applications

    By

    @sakanaailabs

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    Thank you so much for using chat.sakana.ai over the weekend! 🐟 From everyday research to programming rubber-ducking, and even creative uses like "having it write SVG code for an abstract Japanese fish" as shown in the attachment, it seems everyone is using it in various ways. (The image is the rendering result of code written by Namazu 🎨) If you have any helpful answers or interesting use cases like "this response was convenient!" or "this was a fun way to use it!", please let us know with a screenshot via reply or quote repost! ✨ [Translated from EN to English]

    → View original post on X — @sakanaailabs, 2026-04-05 02:23 UTC

  • AI Tools Transform Family Healthcare Decision-Making During Crisis

    By

    @jeremyphoward

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    This isn’t an edge case. From anonymized U.S. ChatGPT data, we are seeing: • ~2M weekly messages on health insurance • ~600K weekly messages from people living in “hospital deserts” (30 min drive to nearest hospital) • 7 out of 10 msgs happen outside clinic hours Simon Smith (@_simonsmith) I’ve been critical of OpenAI lately, but for the past three weeks my family has been dealing with a health issue with my dad, and a ChatGPT shared project with live document syncing has been essential to organizing and understanding everything happening. Me, my four siblings, my mom, and my dad have faced an onslaught of information from various doctors and nurses, which we’ve captured in hundreds of text messages and documents and scans and you name it. ChatGPT has helped us collect this information in a single place, make sense of it, and interrogate it to make the most informed decisions possible. Also, credit where due: Claude played an important role as well, by ingesting iMessages and synthesizing summarizes from them to upload to ChatGPT, as well as by extracting text from a bunch of HEIC document scans. I think those of us, like me, excited at AI’s potential get frustrated when we can see issues so clearly, like ChatGPT’s bad design skills, and Claude’s increasing instability and confusing usage consumption. But at times like this I’m reminded of how incredible this technology already is, letting me and my family make sense and act on hundreds of pieces of information, empowering us in the face of a disjointed and fragmented healthcare system. — https://nitter.net/_simonsmith/status/2040539824034115676#m

    → View original post on X — @jeremyphoward, 2026-04-05 01:43 UTC