New #1 Open Source Image AI? | SenseNova-U1 Mac & Windows Guide & TESTS
Tests SenseNova-U1-Infographic, an open source multimodal interleaved image and text generation model scoring highest among current open source models, on Mac and Windows.
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Find videos about LLM models, hardware, runtimes, benchmarks and practical AI workflows.
Tests SenseNova-U1-Infographic, an open source multimodal interleaved image and text generation model scoring highest among current open source models, on Mac and Windows.
Compares GLM-5.2 and Kimi K2.7 on real coding tasks within the Hermes Agent environment through a live demonstration.
Demonstrates Diffusion Gemma via KB-Diffusion, testing local performance through speed comparison testing and quality comparison testing against other examples.
Reports GLM-5.2, DiffusionGemma, Fable 5 updates, OpenAI Codex changes, Cursor Auto-review, and 1X Technologies NEO humanoid robot production.
Covers GLM 5.2, Kimi K2.7, Claude Fable Mythos ban, SCAIL 2, MiniMax M3, Nexus N2, Dots tts, World Tracing, Flex4DHuman, VideoMDM, Surflo, Moverse, i1, AnchorWorld, MeshFlow and Millivid.
Hands-on testing of GLM-5.2 from Z.AI covers architecture analysis and execution of two coding tasks.
Evaluates Kimi K2.7 Code performance using Inferencer App on M3 Ultra 512GB, comparing local, clustered, and cloud inference against Claude Max across sound, photorealism, coding, vision, logic, and m
Tests GLM-5.2 on browser OS, C++ games, subway scenes, frontend design, 3D printer simulation, CAD, MotoGP games, and drum kits via practical coding, simulation, and design tasks.
Evaluates GLM-5.2 via video editing, Splunk Cyber CTF challenge, and Mario Clone game creation, comparing results against MiniMax M3.
Tests Qwen 3.6 27B MTP versus Qwopus 3.6 27B v2 MTP using an Expense Tracker, Card Matching Game, Breakout Game, and 2D Driving Game on a system with 16GB VRAM and 32GB DDR4 RAM.
Runs DiffusionGemma via llama.cpp on RTX 3060, achieving ~44 tok/s with MoE offloading and quantization. Covers diffusion text mechanics, strengths in code/OCR/Sudoku, and local setup steps.
Tests MiniMax M3 within MiniMax Code, demonstrating its role as an agentic coding workflow with features like multi-agent teams, output verification, and automated task execution.
Hands-on review of Kimi K2.7 Code, a coding-focused agentic model, demonstrating its capabilities through two distinct coding tasks.
Qwen3.6 27B and Claude Fable 5 build an LLM benchmark dashboard on a fresh local VPS connecting to llama-swap endpoints to run benchmarks and display results.
Installs and tests Nemotron 3.5 ASR, described as a multilingual, streaming model.
Evaluates Kimi K2.7 Code via browser OS tests, subway scene and FPS tests, C++ skate and rally games, frontend design, multimodal item design, 3D printer simulation, and image to SVG conversion.
Covers Claude Fable & Mythos 5, Cube Basher, Apple Intelligence, Siri AI, NotebookLM, Gemini Live Translate, DiffusionGemma, policy manifestos, ChatGPT email sending, OpenAI S-1 filing, SpaceX IPO, Co
Demonstrates connecting Browserless Agent and GitHub Agent to SmartBear BearQ via MCP for CI triggers, PR reading, and browser automation within autonomous QA workflows.
Installs and tests Luce Spark to run a 35B model on a 16GB GPU, fitting it in just 14 gigs.
Demonstrates a workflow using Claude Fable 5 for planning, architecture, and system design, then handing off to GPT-5.5 for execution, code generation, and debugging.
Evaluates Macaron-V1 LoRA for GLM-5.1 against Claude using Inferencer App on M3 Ultra 512GB across coding, maths, logic, thinking, photorealistic face generation and Flappy Birds tasks.
Reviews and tests Nex-N2, an agentic model designed for real-world productivity scenarios.
Rudimentary reasoning and simulated agency tests evaluate DiffusionGemma on a local system with 16GB VRAM and 32GB DDR4 RAM, discussing its pros and cons as a new token generation technique.
Tests Nex-N2 Pro against GPT-5.5, Claude Opus 4.7, DeepSeek V4 Pro, and Gemini 3.5 using World of AI Benchmark, coding tasks, and demos.
Locally installs and tests DiffusionGemma GGUF using llama.cpp diffusion.
Reviews Claude Mythos 5 and Fable 5 against GPT 5.5, demonstrating ray tracing, earth simulation, 3D reconstruction, music composition, mecha shooter generation, chemistry courses, cancer classificati
Setup guide for running DiffusionGemma locally using vLLM nightly builds and transformers 5.11.0, demonstrating generation of playable games and applications.
Breakdown of Fable 5 covering pricing, misinformation versus Mythos 5, use cases, token usage, safety constraints, coding benchmarks, hands-on testing of guardrails and a 3D game clone.
Demonstrates building and deploying an AI agent using Google's Agents CLI with Claude Code, featuring identity management, a locked-down sandbox, and a full audit trail for production-grade deployment
Compares Odysseus using SearXNG and Brave against Perplexity, plus discusses Claude Fable 5 (Mythos) versus Opus 4.8 and GPT 5.5.
Locally installs and tests DiffusionGemma, a generative model built by Google DeepMind, using the google/diffusiongemma-26B-A4B-it variant hosted on Hugging Face.
Evaluates Claude Fable 5 via multimodal coding, Windows XP-style app generation, 3D model creation, RF and microcontroller reasoning, and a physical model print test.
Evaluates Claude Fable 5 versus GPT-5.5 via a four-phase progressive coding challenge involving a Windows-style UI, browser, physics sandbox, and pseudo-3D racing game on default settings.
Compares Claude Opus 4.8 and Fable 5 using a Bevy Hantavirus Simulation test prompt to evaluate planning, implementation builds, and sudden refusal behavior against double token costs.
Demonstrates setting up a RAG system using OpenClaw, Qdrant, and RAGwire via prompts, then compares Apple and Google Q1 2026 earnings through ingested 10-Q PDFs.
Tests compare Google gemma-4-26B-A4B-it-qat-q4_0-gguf against unsloth gemma-4-26B-A4B-it-GGUF using reasoning, agency, coding, and memory evaluations on a system with 16GB VRAM and 32GB DDR4 RAM.
Compares inference speed of QWEN3.6-35B-A3B with and without Multi-Token Prediction on Apple M5 Max using Pi Coding Agent and LM Studio.
Compares Google QAT and Unsloth QAT + MTP using identical QAT base weights and MTP setup to evaluate performance differences where the quantization method is the sole variable.
Demonstrates running Gemma 4 QAT models via llama.cpp with --n-cpu-moe MoE offloading on consumer GPUs, achieving near-BF16 quality at Q4 size and ~70% less memory usage.
Claude Fable 5 is tested via World of AI Bench across coding, frontend design, 3D worldbuilding, WebGL rendering, physics simulations, vision, and agentic workflows, comparing performance against GPT-
Hands-on evaluation of Claude Fable 5 through browser workflows, C++ game simulation, SVG animation, packet visualization, scene generation, Python 3D games, simulations, frontend design, and drum kit
Hands-on review of Claude Fable 5, an Anthropic Mythos-class1 model designed for safe general use.
Compares Gemma4 12B and Gemma4 12B QAT via VPS Dashboard Setup, Tower Defense Game addition, and Chat Client Build to evaluate instruction following, UI cleanliness, reliability, and usability under f
Evaluates MiniMax M3 through browser workflows, C++ game development, scene generation, multimodal coding, simulators, frontend design, and drum kit generation.
Demonstrates step-by-step testing of MCP servers using DeepEval and the LLM-as-a-Judge concept.
A bug fix in Gemma 4's chat template resolves issues that were silently degrading multi-turn agent performance.
Demonstrates Ideogram 4 features including world knowledge, text rendering, prompt adherence, bounding boxes, comics, and integration with ComfyUI using KJ nodes.
Compares Gemma4 12B and Gemma4 12B QAT via iOS UI Clone, Weather Dashboard, and Broken Code Debug + Repair Challenge using single-file HTML, CSS, and JavaScript tests.
Demonstrates running Gemma 4 12B QAT locally via LM Studio on Windows PCs with 8GB VRAM, integrated into VS Code using the Continue extension for offline coding assistance.
Locally installs and tests SimpleMem for storing, compressing, and retrieving long-term memories using semantic lossless compression alongside Ollama.