InternVL3

What it does

Open MLLM family (1B-78B) from OpenGVLab. Excels at vision, reasoning, long context & agents via native multimodal pre-training. Outperforms base LLMs on text tasks.

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  InternVL3.52025 · huggingface.co · ▲11

  Open-source MLLM with SOTA reasoning capabilities

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  GLM-4.52025 · z.ai · ▲298

  Unifying agentic capabilities in one open model

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  Qwen3.5Feb 2026 · qwen.ai · ▲288

  The 397B native multimodal agent with 17B active params

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  Getting GLM 5.2 running on my slow computerJul 2026 · github.com · ▲937

  A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

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  Ferret2024 · arxiv.org · ▲193

  Refer and ground anything anywhere at any granularity

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  OpenAI o12024 · openai.com · ▲685

  AI that can do general-purpose complex reasoning

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 16d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 18d ago · tej.as

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  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

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  Onepin▲384

  AI voiceover with every name, price and date said right

  AI · 30d ago · onepin.ai

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  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 28d ago · world.pixverse.video

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  I built a hardware processor that runs Python▲983

  Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

  Dev tools · 2025 · runpyxl.com

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  Unsure Calculator – back-of-a-napkin probabilistic calculator▲930

  The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

  Life & fun · 2025 · filiph.github.io

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  I built an AI that turns GitHub codebases into easy tutorials▲923

  https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

  AI · 2025 · github.com

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  Whatting▲898

  The iPad diary, just for you

  Work · 2025 · whatting.com

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  Strawberry▲859

  Browser with AI companions that automate web tasks

  AI · 2025 · strawberrybrowser.com

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  Peek▲828

  AI personal finance coach that guides you through decisions

  Work · 2025 · peek.money