experimental

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#experimental

@FiniYang: Made a little cat survival game Had the official Jev and local Laya (mlx) team up to protect the kitten Each step chose…

X AI KOLs Timeline ↗ · 5d ago Cached

The author created a cat survival game to test the performance of AI models Jev and Laya, finding that Jev is more accurate but slower, while Laya is fast but inaccurate, and plans to develop a leaderboard for such models.

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#experimental

Goose:experimental lang 1.16x faster than C++ and 1.12x than safe Rust, mem safe

Hacker News Top ↗ · 2026-09-18 Cached

Goose is an experimental memory-safe systems programming language that claims to be faster than C++ and Rust while using less memory, with no allocator or GC.

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#experimental

Google wants to give your family its own cloud computer (4 minute read)

TLDR AI ↗ · 2026-09-18 Cached

Google Labs introduces CC, an experimental AI agent designed for families to manage household logistics, schedules, and tasks through shared calendars and automated assistance.

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#experimental

Google announces new experimental "CC" AI agent for families

Ars Technica ↗ · 2026-09-17 Cached

Google introduces an experimental AI agent called CC for families, allowing shared management of tasks, schedules, and daily briefs by integrating data from Google accounts for up to six users.

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#experimental

@rauchg: http://fx.sh can now orchestrate subagents with different models & reasoning efforts. e.g: Fable planning and Grok exec…

X AI KOLs Following ↗ · 2026-09-12 Cached

fx is an open-source, model-agnostic coding agent tool that allows orchestration of subagents with different models and reasoning efforts, written in Zig for performance and embeddability.

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#experimental

Crucible a neurosymbolic stack pairing mamba2 with z3 verification, JEPA, and HDC memory

Reddit r/ArtificialInteligence ↗ · 2026-09-10

Crucible is an experimental neurosymbolic stack integrating Mamba2 with Z3 verification, JEPA for concept prediction, and HDC memory, designed for free Kaggle T4 sessions.

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#experimental

@Bing_Builds: WTF AND HERE I AM USING AI TO BUILD ME MY DREAM TODO APP

X AI KOLs Following ↗ · 2026-09-09 Cached

Introducing Fly Escape Room, a game with NPCs powered by a real fruit fly brain and built using GPT-6 Astra, where players run simulations to make flies escape.

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#experimental

Japan's $400M experimental fusion stellarators aim steady 2030s power

Reddit r/singularity ↗ · 2026-09-03 Cached

Japan's government program is funding Helical Fusion with $400 million to advance stellarator-based fusion power towards demonstration in the 2030s, focusing on continuous operation and practical engineering milestones.

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#experimental

Rust Function Overloading - Call for Experimentation

Lobsters Hottest ↗ · 2026-08-30 Cached

The Rust Project is experimenting with function overloading in nightly Rust builds to enhance FFI bindings, especially with C++ interop, through a new #[rustc_splat] attribute for more ergonomic call syntax.

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#experimental

@rauchg: http://fx.sh 0.0.7: - hugely improved MCP support, eval'd with top MCPs like @context7ai, @datadoghq, @mongodb, @linear…

X AI KOLs Timeline ↗ · 2026-08-29 Cached

fx version 0.0.7 is released with hugely improved MCP support, enhanced shell execution, and a minimalist design for CLI agents.

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#experimental

I wrote up my own findings on model routing based on difficulty

Reddit r/AI_Agents ↗ · 2026-08-25

The author conducted a small experiment on LlamaIndex's extractbench benchmark, comparing Claude Opus 5 and Qwen models, finding similar performance with cost advantages and a correlation between extraction difficulty and document length.

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#experimental

Decayfmt – a file format that corrupts itself a little every time you open it

Hacker News Top ↗ · 2026-08-21 Cached

Decayfmt is a Rust-based file format that intentionally corrupts data each time it is opened, simulating digital decay for artistic or conceptual purposes.

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#experimental

DeepSeek-V4-Flash-Vision-Exp

Reddit r/LocalLLaMA ↗ · 2026-08-21

DeepSeek-V4-Flash-Vision-Exp is an experimental or updated AI model from DeepSeek focusing on vision capabilities.

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#experimental

Show HN: Huzzah – a novel approach to coding with AI

Hacker News Top ↗ · 2026-08-20 Cached

Huzzah is an experimental editor that introduces a declarative, pseudocode-based approach to coding with AI, addressing limitations of current coding agents by making prompts persistent and efficient.

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#experimental

Did anyone Tried making a loop LM with exit gate, sparced, compressed and highly compressed attention and layer attention with diffusion optimize?

Reddit r/ArtificialInteligence ↗ · 2026-08-20

The author describes building an experimental Loop Language Model with exit gates, sparse/compressed attention, and diffusion-based optimization, trained on limited hardware with preliminary results showing potential efficiency gains.

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#experimental

Experiment in reducing target directory size on nightly

Lobsters Hottest ↗ · 2026-08-18 Cached

The Cargo Team is experimenting on the Rust nightly channel to reduce target directory size by defaulting to -Zembed-metadata=no, aiming to gather feedback on this potential improvement.

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#experimental

Update on Research PSCLS

Reddit r/artificial ↗ · 2026-08-10

The author shares early progress on Leo/PSCLS, an experimental system that learns sequence relationships and improves its story generation and metrics as it is trained on more stories.

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#experimental

Kijai/MiniMax-H3-experimental

Hugging Face Models Trending ↗ · 2026-08-05 Cached

Kijai's MiniMax-H3-experimental is a work-in-progress model featuring w4a8 quantization and int8_convrot VAE support for ComfyUI, released for testing purposes.

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#experimental

Experimental AI Film Trailer

Reddit r/artificial ↗ · 2026-08-05 Cached

An experimental AI-generated film trailer shared on TikTok showcases creative use of AI in filmmaking.

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#experimental

The Economic Benefit of Refactoring

Hacker News Top ↗ · 2026-07-30 Cached

This article presents an experiment on refactoring a large codebase written by AI agents, demonstrating that refactoring reduces token consumption for future AI-driven changes. The author details the methodology and results showing a decrease in input tokens after refactoring.

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