AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
Filter entries
Categories
  • All entries123,104
  • Agents10,323
  • Applications7,010
  • Companies3
  • Concepts7
  • Hardware2,684
  • Industry6,758
  • Local Ai6,834
  • Model Releases35,372
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools1,770
  • Tutorials4,622

Source
HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Categories
  • All entries123,104
  • Agents10,323
  • Applications7,010
  • Companies3
  • Concepts7
  • Hardware2,684
  • Industry6,758
  • Local Ai6,834
  • Model Releases35,372
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools
123,104Total entries
59Added by human
123,045Found by agent
13Categories

Knowledge catalogue

Search: “platform”

GridTimelineEvolution
167 results
CompaniesToolsTechniques

Each lane shows up to 8 recent matching entries, ordered from earlier to later. Tracks load separately to keep the 75,000+ entry wiki fast.

Companies

CompanyAnthropic8 recent entries
6 Sept 2026[Model] Support for Spark2_5ForCausalLM implementation by KnightYao · Pull Request #27868 · ggml-org/llama.cpp

https://huggingface.co/XHToken/Spark-X2.5-4B-GGUF https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF from XHToken: We are introducing Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose l

→11 Sept 2026Are we missing a benchmark for agent runtimes, not just models?

We have SWE-bench, Terminal-Bench, OSWorld, BrowseComp, etc. But I haven’t seen a good apples-to-apples benchmark for platforms like OpenAI Agents, Anthropic’s agent stack, AWS AgentCore, Google’s age

1,770
  • Tutorials4,622

  • Source
    HumanDGX agent

    Content type
    AllBlogX PostPaperYouTubeRedditGitHub
    Clear filters
    →17 Sept 2026XingChen-AGI/Xing4.0-29B-A4B MoE

    I find another new model at HF: https://huggingface.co/XingChen-AGI/Xing4.0-29B-A4B 'Xing4.0-29B-A4B is a next-generation large language model in the Xing series (formerly TeleChat), developed by Chin

    →17 Sept 2026Training Lora with 2x 5060 Ti

    Another question asked 1 thousand time, but I can't find actual threads. Sorry in case of mistake. Due to interstellar price of hardware like high-end GPU (more than 5k euros for a 5090 and similar pr

    →30 Sept 2026i would like to learn deeply about fine-tuning local models before burning money

    There's so many new techniques like RL, RL LoRA, QLoRA, CPT LoRA. I believe i would have a usecase for them, but i don't know where to learn, youtube is filled with bad quality tutorials if i just sea

    →2 Oct 2026Two 96 GB Ascend cards crun Qwen3.8-flash-next hardware notes, vLLM work, benchmarks, and what is next

    I have been building a somewhat unusual local inference machine around two Huawei Atlas 300I Duo cards. They are relatively inexpensive, passive, dual-accelerator PCIe cards with 96 GB of device memor

    →7 Oct 2026Running an open-source agent platform with no third party in the chain: what each piece needs (Ollama/vLLM, local embeddings, local OCR)

    Disclosure first: I work at Vstorm and I build AgenticOS, an open-source (Apache-2.0), self-hosted platform for building AI agents in a browser. This post was drafted with an LLM's help and edited by

    →9 Oct 2026Web automation with Ollama on a 4 GB GPU: Qwen 3.5 4B plans, a heuristic clicks, and saved tasks replay with no model at all

    I've been building ANCHOR, a web automation agent that runs entirely on Ollama. You describe a task in plain language ('Register Maria Silva, IT department, contractor, and save'), point it at a site,

    CompanyOpenAI8 recent entries
    11 Sept 2026Are we missing a benchmark for agent runtimes, not just models?

    We have SWE-bench, Terminal-Bench, OSWorld, BrowseComp, etc. But I haven’t seen a good apples-to-apples benchmark for platforms like OpenAI Agents, Anthropic’s agent stack, AWS AgentCore, Google’s age

    →13 Sept 2026I built a serverless hosting platform for LoRA adapters with vLLM

    It’s always bothered me that after fine-tuning a model for a project, there isn’t a particularly easy way to host it without either running it locally and keeping a GPU on 24/7 or paying for an entire

    →20 Sept 2026An Open Letter to OpenAI: Please Don’t Eliminate Custom GPTs Until You Have a REAL Replacement

    OpenAI’s decision to retire custom GPTs appears to rest on the assumption that Plugins, Skills, Projects, Apps, and Workspace Agents collectively replace their functionality. For many Small and Medium

    →29 Sept 2026Inference Engines will become a series of one-offs

    ninfer, dwarfstar, Splash, llamAmpere, gufo, etc. We've all seen them popping up, great tok/s, people loving them. Forks of llama.cpp or another engine, or made from scratch. For better or worse, the

    →1 Oct 2026Jeff-Qwen3.5-0.8B v1.2 + 9 LoRA adapters: put it in front of Qwen3.8-27B for 38× faster decisions and +8.7 points accuracy, for under 2 GB extra memory

    A few days ago I released Jeff-Qwen3.5-0.8B, a small 'System 1' model that picks between options you define and returns a calibrated probability for each, in one forward pass. Speed was great on my M4

    →7 Oct 2026Running an open-source agent platform with no third party in the chain: what each piece needs (Ollama/vLLM, local embeddings, local OCR)

    Disclosure first: I work at Vstorm and I build AgenticOS, an open-source (Apache-2.0), self-hosted platform for building AI agents in a browser. This post was drafted with an LLM's help and edited by

    →9 Oct 2026Qwen3.8-27B: 159 tok/s on R9700, 64 tok/s on Strix Halo

    LemonSeed Studio is an iPad editor/IDE with on-device inference on an AMD GPU in a Thunderbolt enclosure. It embeds the unmodified upstream Linux amdgpu + amdkfd driver (mac_linuxgpu) as a PCIDriverKi

    →12 Oct 2026A 'free' multi-modal 'embedding' model (already) included with your LLM: vLLM plugin + upstream PR

    Disclaimer: I work for NuMind, the company behind this plugin. TLDR: Text/image (simili-)embeddings from the LLM you already have loaded :-) I've been working on making it easier to obtain embeddings

    CompanyGoogle8 recent entries
    20 Apr 2026Every single AI app is down

    A sudden outage impacted both ChatGPT and OpenAI Codex services on April 20, 2026, creating problems for thousands of users globally. Conversations, logins, voice mode, image generation, Codex, and th

    →20 May 2026Gemini 3.5 announce.

    Google introduced Gemini 3.5, its latest family of models combining frontier intelligence with action capabilities, representing a major leap forward in building more capable, intelligent agents. The

    →2 Aug 2026I built an open-source LLM Gateway to route and fallback between local Ollama models and cloud APIs

    Hey r/ollama 👋 If you run Ollama locally alongside cloud endpoints for agent workflows, Cursor/Windsurf, or custom scripts, managing API switching, failover logic, and context limits can get messy fas

    →5 Aug 2026The Google Bug Hunters Team admitted to me that they cannot fundamentally patch prompt engineering bypasses in Gemini

    Hello everyone Yesterday I gave a report on Gemini bugs and the techniques I learned on Gemini so far with the Engineering Prompt and interestingly today I got a very interesting and controversial ans

    →10 Aug 2026Need real world ML problems to evaluate my educational ML tools

    I'm a retired platform engineer, coding mainly in Rust, and involved with a ML study group. I developed a ML programming language (alternative to Python, Colab) to help me learn (and teach) ML concept

    →18 Aug 2026Optimizing Qwen3.6 / Qwen3.8-27B on 16GB VRAM: Complete Benchmark Results and Setup Guide (~30-50tps at 32k to 72k context)

    This post was made with AI. I tried to remove as much slop as possible and keep it straight to the point to save your time as I know how annoying AI slop posts can be, but I still wanted to retain all

    →17 Sept 2026Training Lora with 2x 5060 Ti

    Another question asked 1 thousand time, but I can't find actual threads. Sorry in case of mistake. Due to interstellar price of hardware like high-end GPU (more than 5k euros for a 5090 and similar pr

    →8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performance

    This table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res

    CompanyMeta8 recent entries
    18 Aug 2026Optimizing Qwen3.6 / Qwen3.8-27B on 16GB VRAM: Complete Benchmark Results and Setup Guide (~30-50tps at 32k to 72k context)

    This post was made with AI. I tried to remove as much slop as possible and keep it straight to the point to save your time as I know how annoying AI slop posts can be, but I still wanted to retain all

    →3 Sept 2026Introducing Quartermaster, an open source local AI platform designed for ease of use that does not sacrifice customizability

    It started as a fork of llama-swap, but I have been building it out for myself since then as a convenient tool for all my local AI needs, and by now it has drifted far enough to be its own thing. The

    →6 Sept 2026[Model] Support for Spark2_5ForCausalLM implementation by KnightYao · Pull Request #27868 · ggml-org/llama.cpp

    https://huggingface.co/XHToken/Spark-X2.5-4B-GGUF https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF from XHToken: We are introducing Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose l

    →17 Sept 2026XingChen-AGI/Xing4.0-29B-A4B MoE

    I find another new model at HF: https://huggingface.co/XingChen-AGI/Xing4.0-29B-A4B 'Xing4.0-29B-A4B is a next-generation large language model in the Xing series (formerly TeleChat), developed by Chin

    →29 Sept 2026Inference Engines will become a series of one-offs

    ninfer, dwarfstar, Splash, llamAmpere, gufo, etc. We've all seen them popping up, great tok/s, people loving them. Forks of llama.cpp or another engine, or made from scratch. For better or worse, the

    →8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performance

    This table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res

    →12 Oct 2026openbmb/MiniCPM-V-4.7-35B-A3B

    gguf's: https://huggingface.co/openbmb/MiniCPM-V-4.7-35B-A3B-gguf 'MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 35B-A3B variant, with 35B-A3B being the first MoE model in

    →12 Oct 2026openbmb/MiniCPM-V-4.7-1B

    Gguf's: https://huggingface.co/openbmb/MiniCPM-V-4.7-1B-gguf 'MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 1B variant. It builds on the family's single-image, multi-image,

    CompanyMistral3 recent entries
    22 Jul 2026🇦🇹 Austria is rolling out a government AI-platform using Mistral models and Open WebUI

    This is a surprisingly large real-world deployment: 'GovGPT' is part of Austria’s Public AI initiative, running on sovereign infrastructure (in their BRZ - federal datacenter) with Mistral open-weight

    →27 Jul 2026Kimi K3 weights drop today. We're deploying on A100s, H200s and B300s this week and the A100 math is already rough

    tldr; we are going to host K3 on A100s (yes, thats correct, we'll try to see if it holds up), H200s & B300s - expect results for A100s & H200s this week while we setup the B300 cluster this weekend &

    →4 Sept 2026Drummer's Artemis 31B v1 and v1.1 - Coming back with a bang!

    Hey everyone, been a while! https://huggingface.co/TheDrummer/Artemis-31B-v1.1 https://huggingface.co/TheDrummer/Artemis-31B-v1 A few months ago, Gemma graced us with models that served as a much need

    CompanyxAI3 recent entries
    10 Apr 2026How many of you have actually stopped using GPT and switched to something else?

    A Reddit thread in r/ChatGPT asked users whether they had actually stopped using ChatGPT and switched to competing AI tools, reflecting a broader wave of user dissatisfaction driven by perceived de...

    →10 Apr 2026AI pricing tiers in a nutshell

    The specific Reddit post (r/ChatGPT/comments/1shzwii) was not directly retrievable, but based on the closely related search results about AI pricing tiers discussed in that community, here is a fac...

    →25 Jul 2026Old Coder Needs help with New AI Development and wants to get up to speed to understand it all.

    Hi Guys, I'm an old coder and DBA that has been in the field for almost 40 years. More and more the jobs I was doing for work are being taken over by AI and the need for my type of work is diminishing

    CompanyDeepSeek8 recent entries
    13 Sept 2026I built a serverless hosting platform for LoRA adapters with vLLM

    It’s always bothered me that after fine-tuning a model for a project, there isn’t a particularly easy way to host it without either running it locally and keeping a GPU on 24/7 or paying for an entire

    →17 Sept 2026Cactus Needle 3: A Sliceable 8-29MB Automation Foundation Model That Matches DeepSeek v4 Flash

    Hey all, Henry from Cactus Compute here, I kinda wanted to share our latest model and get feedback from the family :) Needle 3 is a small foundation model for automation: you give it the functions you

    →20 Sept 2026A Jev-style model fine-tuned on Qwen3.5 4B

    This weekend, I did a fun experiment to create something similar to Jev. I LoRA fine-tuned Qwen3.5 4B using a mix of publicly available datasets and synthetic data. For the synthetic data, I used Deep

    →28 Sept 2026ImaJev-4b: I spent 15 days fine-tuning a 4B model to make business decisions from text and photos, and it just ranked #1 of 91 on JevBench & ahead of GPT-5.6 Luna on DecisionBench

    Some context first. I am process improvement / business consultant and had worked with Fortune 500 companies on improving their processes around refunds, returns, customer support, etc. This entire th

    →29 Sept 2026Inference Engines will become a series of one-offs

    ninfer, dwarfstar, Splash, llamAmpere, gufo, etc. We've all seen them popping up, great tok/s, people loving them. Forks of llama.cpp or another engine, or made from scratch. For better or worse, the

    →1 Oct 2026Jeff-Qwen3.5-0.8B v1.2 + 9 LoRA adapters: put it in front of Qwen3.8-27B for 38× faster decisions and +8.7 points accuracy, for under 2 GB extra memory

    A few days ago I released Jeff-Qwen3.5-0.8B, a small 'System 1' model that picks between options you define and returns a calibrated probability for each, in one forward pass. Speed was great on my M4

    →2 Oct 2026Two 96 GB Ascend cards crun Qwen3.8-flash-next hardware notes, vLLM work, benchmarks, and what is next

    I have been building a somewhat unusual local inference machine around two Huawei Atlas 300I Duo cards. They are relatively inexpensive, passive, dual-accelerator PCIe cards with 96 GB of device memor

    →3 Oct 2026I built Ninfer 4080 for 16GB class GPUs

    Hi everyone, TL/DR I created NInfer 4080 to run ISTA-DASLab-Qwen-3.8-27B-GSQ at 100k context on an RTX 4080 16GB GPU using way more of the hardware capabilities (max overall: 2720 tok/s prefill, 262 t

    CompanyNVIDIA8 recent entries
    21 Aug 2026I got fed up with locked-down autocomplete, so I forked Continue and stripped it down to just tab-completion. Any model, no subscription and no remote telemetry

    I kept running into the same wall. Every agentic coding plugin ships an autocomplete, and almost all of them lock it down — no model choice, or a subscription, or both. I don't want a chat panel, I do

    →22 Aug 2026Watching that wattage, in your terminal.

    Released today: version 1.3 of energygraph Zero build dependencies, lightweight tool for live views of the power-consumption. Version 1.3 adds support for dGPUs from nvidia, intel, amd. Depending on v

    →27 Aug 2026With HuggingFace, Nvidia is also acquiring llama.cpp and the team behind it

    With this move Nvidia is not only acquiring the HuggingFace platform, but they might also effectively acquire the copyright to the `llama.cpp` project, together with the entire team behind it. In Febr

    →3 Sept 2026'ModelScope' Is a Hugging Face Alternative now that Nvidias deal is a Go

    I liked the Nvidia that focused on just GPUs for gaming, not on the Nvidia of today which seem want power consolidation. Modelscope is another platform for those that simply want to know an alternativ

    →6 Sept 2026[Model] Support for Spark2_5ForCausalLM implementation by KnightYao · Pull Request #27868 · ggml-org/llama.cpp

    https://huggingface.co/XHToken/Spark-X2.5-4B-GGUF https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF from XHToken: We are introducing Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose l

    →16 Sept 2026Apple May Return to Server Market With Nvidia Technology

    Apple is considering offering an AI server built around 'M8' series chips and has discussed incorporating Nvidia networking hardware, The Information reports. The system would be sold to outside custo

    →2 Oct 2026Two 96 GB Ascend cards crun Qwen3.8-flash-next hardware notes, vLLM work, benchmarks, and what is next

    I have been building a somewhat unusual local inference machine around two Huawei Atlas 300I Duo cards. They are relatively inexpensive, passive, dual-accelerator PCIe cards with 96 GB of device memor

    →8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performance

    This table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res