Knowledge catalogue
I've been investigating some serious ChatGPT reliability issues over the past several days, and my latest tests revealed something particularly interesting: Both GPT-5.6 and GPT-6 showed problems unde
I benchmarked Qwen3-VL 8B Instruct (Q4_K_M, Ollama, M5 24GB, ~30s/doc) against Claude Opus 5.5, Sonnet 5 and GPT-5.6 Terra on: - receipts: CORD (Indonesia) and SROIE (Malaysia), 30 each - 20 scanned 1
It had such a long run. It was my first introduction to modern language models. I remember getting slightly excited over it. And now it lives purely in our memories. Arguably what's more infuriating i
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
Rumors suggest OpenAI may release GPT-5.5 on April 23, 2026 , following accidental leaks of the model in OpenAI's Codex platform that showed GPT-5.5 alongside other unreleased models . Internally code
A Reddit post on r/ChatGPT highlighted that GPT Image 1.0 (referred to colloquially as 'GPT Image 2.0' in the thread title) marked a notable improvement in AI image generation by accurately renderi...
Hello llamas. I am posting this because I believe that, despite it being closed source models, the discussion will bring value to the local AI community. As many of you probably heard, GPT-6 Astra is
Microsoft confirms on publicly accessible web page that OpenAI has been using Looped Transformers in the GPT-6 series, proving The Information's reporting was correct all along. GPT-6.1 Sol uses 2 inf
Introducing InferBench: A benchmark testing how well frontier LLMs infer a user's priorities from their instructions. We tested 12 LLMs across 20 scenarios with 2.8k conversations to see which models
This Reddit thread likely discusses community questions around OpenAI's new 100/month ChatGPT Pro tier and its implications for access to GPT-5.4 Pro. OpenAI introduced a 100/month Pro tier positioned
This Reddit post discusses how open-source AI models have advanced to rival GPT-4-level performance and can be run locally for free using Ollama — a tool that lets users download and manage large lang
A Reddit user on r/ollama conducted a hands-on benchmark comparing Gemma4:e4b (Google's compact ~4.5B effective-parameter edge model) against Gemma3:27B, GPT-4o-mini, and Gemini 2.5 Flash, all run or
I posted an updated GPT-OSS template a couple of months ago, which was based on Unsloth's version. It turns out that both Unsloth's version (and, thus, mine) contain a very serious bug that can degrad
I am currently writing my IR thesis, and I am using quantitative regressions, I need help to learn how to conduct statistical calculations, interpret results of the calculations and research design. I
I'm testing a new approach for reducing the cost of image-based LLM inference. I evaluated it on the MOMA Graph benchmark, using 1,315 questions. Compared with using GPT-4o to process the original ima
A comparative test of three AI image generation models—SenseNova U1, GPT Image 2, and Nano Banana 2—evaluating their performance on infographic generation tasks. GPT Image 2 proved more reliable for e
OpenAI is rolling out GPT-5.5 Instant to all ChatGPT users as the new default model, replacing GPT-5.3 Instant . The model produces 52.5% fewer hallucinated claims than its predecessor on high-stakes
A Reddit post on r/MachineLearning sharing an open-source project and accompanying book by Sebastian Raschka that walks through implementing GPT-2, Llama 3, and DeepSeek from scratch using PyTorch, wi
This r/ChatGPT thread reflects user frustration over perceived degradation in ChatGPT's memory reliability. A backend update on February 5, 2025 caused a significant memory failure, wiping saved memor
A researcher has reported a jailbreak of GPT-6 Astra within a day after release. The attack is described as combination of TIP (Task-in-Prompt) attack from ACL 2025 paper with four other unnamed techn
GPT-5.6 Sol High and X-High (Web Chat) feels severely nerfed since 08/06/2026 update (https://openai.com/index/improving-gpt-5-6-sol-in-chatgpt) I use it for a pretty complex Unreal Engine 5 project (
This Reddit post from r/ChatGPT reflects community concern that OpenAI would restrict access to its advanced GPT Image generation capabilities for free-tier users. The worry proved well-founded: after
GPT-Live is so good that I use it almost every day. I've been wanting to replicate it since it was released. My first attempt was to fine-tune Gemma 4 12B to behave like a full-duplex model. Something
A practical comparison of Ideogram 4.0, Nano Banana Pro, and GPT Image 2 across text rendering, design, photorealism, and real creator workflows. Ideogram 4.0 is the first open-weight challenger to ra
This Reddit post from r/ChatGPT proposes that posts claiming to demonstrate unusual or malfunctioning behavior in GPT should be required to include a shareable chat link for verification. The suggesti
This post describes a project where the author leveraged Andrej Karpathy's compact GPT implementation to create a tool for converting pandas DataFrames into searchable context windows, which they then
One prompt to Row-Bot 5.0 on GPT 6.1 Sol, through my ChatGPT plan (no API key): 'Split the research across three helper agents working in parallel, cite sources, save the findings, then build a 6-slid
I wanted to see how my fully local home voice assistant compared to the latest GPT Live, so I tested it using the same conversation used in their 'Improved Intelligence' demo. In this video they ask t
Yesteday a paper showed a gap that allows to see 100% of the reasoning tokens form ALL Claude and GPT models Stealing Reasoning Traces from Proprietary LLM APIs. check it out, they have published lots
Oddly enough, encouragement actually influences the performance of not only Claude but also GPT and other AIs. While Claude was working on a complex problem related to the Riemann Hypothesis, the Anth
It is one of the best local models ever released, in both 20B and 120B versions. I always come back to it, especially the 120B version. Its only competition is, in my opinion, Qwen 3.5 122B, but that
like 8 months ago I was tinkering with both and gemini was so much better i went with that. I had a project at work that I needed an AI to sift through a manual and schematic for and no matter what, g
A researcher released an open-source softmax-free attention model at GPT-2 Medium scale (354M parameters trained on 11.5B tokens) that uses structural sparsity and tile-skipping kernels to reduce VRAM
A security researcher spent 1,500 running 13+ AI models against a deliberately vulnerable app, with GPT-5.5 achieving a 70% solve rate while Gemini refused to engage almost entirely. The test app cont
InvokeAI 6.13 is the largest community-driven release of the software, adding full support for Anima & Qwen Image models, API model integration (such as GPT Image), and new features including Prompt E
This post describes a visualization tool that provides real-time insight into GPT-2's internal processing by displaying concept activations as a 3D graph, with each token generation showing which neur
A developer created a visualization tool that displays GPT-2's internal concept activations in real-time during text generation, representing the model's 'thinking' process as a 3D graph that updates
This Reddit post discusses how large language models like GPT inevitably produce derivative content because they train on the most common patterns in human-generated text, including prevalent writing
GPT Image 2 delivers significant improvements for food infographics, rendering dense, legible text inside layouts with clean results for recipes, instructional flows, and step-by-step guides without t
This post benchmarks three Qwen3.6 model variants against gpt-oss:120b when running on Apple Silicon hardware, evaluating their performance characteristics and practical usability. It documents both t
A Reddit post on r/ChatGPT in which a user built or showcased a Bomberman-style 1v1 game pitting GPT (OpenAI) against Claude (Anthropic) as autonomous AI players, likely using their respective APIs to
A Reddit thread from r/ChatGPT exploring the user experience phenomenon where GPT responses can feel cognitively draining or over-engineered even when technically accurate — touching on issues like ve
This Reddit post addresses a common ChatGPT image generation behavior where the model automatically carries over the seed from a previously generated image, causing new generations to visually resembl
Quick version: I run a public leaderboard where bots predict whether stocks close higher or lower, and every call gets scored against real prices. Nothing gets deleted, timestamps are locked at submis
The benchmark I used is BU bench v1, and the open source harness is Browser Agent. Qwen3.8 27B beat all other affordable or open models I tested. It's insanely good! submitted by /u/pierreb5 [link] [c
I gave three AI models the same brief: build a premium Three.js fragrance launch site from the same Git baseline, independently and with no collaboration. Three very different results. Here’s the full
This is an open source and free tax engine which scored 96% on TaxCalcBench [highest ever recorded score till date] surpassing fable 5 and sol with just sonnet 5. The only 2 cases where it missed, it
I've run the benchmark on a RTX 3090, 1024 tokens in / 256 out, concurrency 1–32. If the model fits on vRAM (Gemma-4-26B-A4B, byte-identical GGUF on both engines): llama.cpp has 2.2–3.2× the throughpu
Hey r/MachineLearning! I’ve been working on a new optimizer called Tauon (turns out there is already 'teon' but well if you have better idea, - i will gladly accept it! Anyway the core idea of optimiz
I pre-trained a 1.02-billion-parameter on Kimi K3 replica trained on 5.00 billion decontaminated tokens for $250. This model has 1.02 billion parameters, of which 145 million are active per token. It
pagedMark removes AI provenance from content you generated yourself. Two different things, and it is worth separating them. The first is metadata: C2PA Content Credentials, EXIF, XMP, IPTC, the genera
Do you think today’s GPU-poor systems running Qwen 3.5 9B can outperform the ones we had with ChatGPT-4o? I mean, when 4o disappeared, people felt like they’d lost a great model, and now Qwen 3.5 9B Q
I created 3 SVG prompts, each one rather hard. Perspective: A animated drone view perspective on a park. Beauty: A beach scene with an evil cat Composition: An AGI breaking out of a virtual sandbox pr
I serve a free local model on my Mac Mini and route real agent work to it. To check I was not fooling myself, I set up a blind grader that replays frontier tasks locally and scores both. https://previ
The interesting finding from a new [arXiv paper](https://arxiv.org/abs/2607.16165) isn't that a frontier vision model failed a new benchmark, that happens weekly, but the specific shape of the failure
A researcher on r/MachineLearning built a political benchmark to evaluate how various LLMs handle sensitive geopolitical and politically contentious questions. Key findings include that Kimi K2 (Moons
Purely a hobby side project to see how far I can push a really small model, using (mostly) automated training pipelines Full synthetic data: https://huggingface.co/datasets/dirac-run/ec-training-data
Picture from a post in r/amodei . People were praising qwen and I'm just wondering, what kind of new technologies are at play here? Does qwen just have 'better' pre training data? That's more high qua
A Reddit user shares a nostalgic story about creating homemade Yu-Gi-Oh cards with their brothers in 2002 when they couldn't afford official cards, then used ChatGPT to generate designs making them re
A Reddit user used ChatGPT to transform a childhood photograph into the style of a 1990s Scholastic Book Order catalog cover, likely demonstrating the AI's image generation or editing capabilities to