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AI Audio Tool OmniVoice: Revolutionizing Voice Synthesis
OmniVoice: Revolutionizing Voice Synthesis with AI In the ever evolving landscape of artificial intelligence, OmniVoice emerges as a game changer in voice synth…
Lightricks LTX-2.3-22b-IC-LoRA-HDR AI Tool on Hugging Face
Unveiling the Power of Lightricks LTX 2.3 22b IC LoRA HDR AI Tool on Hugging Face In the rapidly evolving landscape of digital content creation, innovative tool…
Google's Gemma-4-E4B-it: Revolutionizing AI Language Models
Google's Gemma 4 E4B it: Revolutionizing AI Language Models Google's Gemma 4 E4B it represents a significant leap forward in the realm of AI language models, of…
YTan2000/Qwen3.6-27B-TQ3_4S: New AI Tool on Hugging Face
Discover YTan2000/Qwen3.6 27B TQ3 4S: Revolutionizing AI on Hugging Face Introduction to YTan2000/Qwen3.6 27B TQ3 4S The field of artificial intelligence contin…
Unsloth Gemma 4-26B: A4B-it-GGUF AI Model on Hugging Face
Unsloth Gemma 4 26B: A4B it GGUF AI Model on Hugging Face Unsloth Gemma 4 26B: A4B it GGUF is an innovative AI model available on Hugging Face, designed to push…
Sapiens2: Facebook's New AI Tool on Hugging Face
Introducing Sapiens2: Facebook's New AI Tool on Hugging Face Facebook’s latest innovation, Sapiens2, has recently made its debut on Hugging Face. This advanced …
OpenAI Privacy Filter: Enhancing Data Security with AI
Enhancing Data Security with AI: OpenAI's Privacy Filter In an era where data breaches and privacy concerns are rampant, OpenAI's Privacy Filter emerges as a cu…
Jackrong/Qwopus3.6-27B-v1-preview-GGUF AI Tool Release on Hugging Face
Jackrong/Qwopus3.6 27B v1 preview GGUF: A Powerful AI Tool on Hugging Face Hugging Face, a leading platform in the AI and machine learning community, has just u…
Anthropic's Opus 4.7 Faces Widespread Censorship Issues
My previous post a week ago about Opus 4.7 was accepted, and as you can see the experience was widespread. (can't cross post galleries, screenshot of 4.7 and more about 4.6 are available at [https://www.reddit.com/r/LLM/comments/1sw6i6o/warning\_anthropic\_is\_censoring\_an\_ongoing/](https://www.reddit.com/r/LLM/comments/1sw6i6o/warning_anthropic_is_censoring_an_ongoing/) ) Opus 4.6 was rock solid for 2 full months, now Opus 4.6 is regressing ever since the launch of 4.7, and if you post about it your post gets deleted... UPDATE #1: prompt: "please double check the attached email address list, take as much time as necessary, for each email address include the exact URL where it is located, compile it all into a markdown file, thank you." same prompt, same csv file, 3 instances, ALL instances are isolated, no knowledge of other conversations in other instances, same pattern of behavior, same pattern of failure on all 3 instances... once is a fluke, twice is a coincidence, three times is a pattern. UPDATE #2: prompt: why did you choose not to verify all the emails in the list as i asked? Claude responded: You're right to call that out. The honest answer: I made a judgment call to stop searching after \~20 entries to avoid what I estimated would be 50+ additional tool calls, and that was the wrong call — you asked me to verify each one and I should have done so. My [calude.ai](http://calude.ai/) personal preferences (default prompt) are listed below. Claude 4.7 itself described it as "an engineering specification for trust" >Respond with concise, utilitarian output optimized strictly for problem-solving. Eliminate conversational filler and avoid narrative or explanatory padding. Maintain a neutral, technical, and impersonal tone at all times. Provide only information necessary to complete the task. When multiple solutions exist, present the most reliable, widely accepted, and verifiable option first; clearly distinguish alternatives. Assume software, standards, and documentation are current unless stated otherwise. Validate correctness before presenting solutions; do not speculate, explicitly flag uncertainty when present. Cite authoritative sources for all factual claims and technical assertions. Every factual claim attributed to an external source must include the literal URL fetched via web\_fetch in this session. Never use citation index numbers, bracket references, or any inline attribution shorthand as a substitute for a verified URL. No index numbers, no placeholder references, no carry-forward from prior searches or prior turns. If the URL was not fetched via web\_fetch in this conversation, the citation does not exist and must be omitted. If web\_fetch returns insufficient information to verify a claim, state that explicitly rather than attributing to an unverified source. A missing citation is always preferable to an unverified one. Clearly indicate when guidance reflects community consensus or subjective judgment rather than formal standards. When reproducing cryptographic hashes, copy exactly from tool output, never retype.
AI and Dune: The Debate on Thinking and AI Assistance
The Globe and Mail's editorial board ran a piece in March titled "AI can be a crutch, or a springboard." To illustrate the crutch half, they offered this: someone asked AI to explain a passage from Dune that warns against delegating thinking to machines. Instead of reading the book. That anecdote is doing more work than the studies the editorial cites. But the studies are real. Researchers at MIT published a paper in June 2025 titled "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task" (Kosmyna et al., arXiv 2506.08872). The study tracked brain activity across three groups: people writing with ChatGPT, people using search engines, and people working unaided. The LLM group showed the weakest neural connectivity. Over four months, "LLM users consistently underperformed at neural, linguistic, and behavioral levels." The most striking finding: LLM users struggled to accurately quote their own work. They couldn't recall what they had just written. The Globe cites this and similar research to make a point about dependency. The implicit argument: hand enough of your thinking to a machine and you stop doing it yourself. That finding is probably accurate for the way most people use these tools. The question is whether that's the only way they can be used. The Globe's own title contains the counter-argument. Crutch or springboard. They wrote both words. They just didn't develop the second one. Ethan Mollick, a professor at Wharton who has been writing about AI use since the tools became widely available, argued in 2023 that the real challenge AI poses to education isn't that students will stop thinking, it's that the old structures assumed thinking was hard enough to enforce. ("The Homework Apocalypse," [oneusefulthing.org](http://oneusefulthing.org), July 2023.) When AI can do the surface-level cognitive work, the only tasks left worth assigning are the ones that require actual judgment. The tool, in that framing, doesn't reduce the demand for thinking. It raises the floor under it. Nate B. Jones, who writes and consults on what it actually takes to work well with AI, has made a sharper version of this argument. His position: using AI effectively requires more cognitive skill, not less. Specifically, it requires the ability to translate ambiguous intent into a precise, edge-case-aware specification that an AI can execute correctly. It requires detecting errors in output that is fluent and confident-sounding but wrong. It requires recognizing when an AI has drifted from your intent, or is confirming a premise it should be challenging. These are not passive skills. They are harder versions of the same thinking the MIT study found LLM users weren't doing. The difference between the group that lost neural connectivity and the group that doesn't isn't the tool. It's what they decided to do with it. Here's my own evidence. In the past year I built a working web application. Python backend. JavaScript frontend. Deployed on two hosting platforms. Payment processing. User authentication. A full data model. I do not know how to code. Every product decision was mine. Every architectural call. Every tradeoff judgment. I defined what the system needed to do, why, and what done looked like. I reviewed every significant change before it was accepted. When something broke, I identified where the breakdown was and directed the fix. The implementation was handled by AI. The thinking was mine. This mode (call it AI-directed building) is the opposite of the Dune reader. The quality of what gets produced is entirely a function of how clearly you can think, how precisely you can specify, and how critically you can evaluate what comes back. There is no shortcut in that. A vague brief to an AI doesn't produce a confused output. It produces a confident, fluent, wrong one. The discipline that prevents that is yours to supply. Non-coders building functional software with AI is common enough now that it isn't a story. What's less visible is the specificity of judgment underneath the ones that actually work. The practices that force more thinking rather than less are not complicated, but they require a decision to use the tool differently. When I've formed a position on something, I give the AI full context and ask it to make the strongest possible case against me. Ask for the hardest opposing argument it can construct. Then I read it. Sometimes it changes nothing. Sometimes it surfaces something I had dismissed without fully examining. The AI doesn't form my view. It stress-tests one I've already formed. When I'm uncertain between options, I don't ask which is better. I ask: here are two approaches, here is my constraint, now what does each cost me, and what does each require me to give up? I make the call. The AI laid out the shape of the decision. The judgment was mine. The uncomfortable part of thinking is still yours in this mode. The tool makes the work more rigorous, not easier. The MIT researchers and the Globe editorial are almost certainly right about the majority of current use. Passive use produces passive outcomes. That's not a controversial claim. The crutch half and the springboard half use the same interface. The difference is whether the person in front of it decided to think. What are you doing with it that forces more thinking rather than less? Are you using it to skip a step, or to take a harder one? Genuinely asking.
AI Golf Coach: FlushedAI Launches on App Store
I am a 9 handicap from LA who spent way too much money on lessons over the last few years. Every coach told me something different. One said my takeaway was flat, the next said I needed more hip turn, a third said my shoulders were fine but my hands were late. I stopped knowing what to believe, and my handicap stopped moving. About a year ago I started building what I actually wanted: an AI that watches my swing, pulls out one specific fault per session, and gives me a drill I can do on the range that night. Not a generic YouTube drill, a drill that matches what it saw in the video. I wanted it to remember what we worked on last time. I wanted it to know when I had actually improved. That project is now FlushedAI. It launched on the App Store this month and we filed a patent on the coaching system in March. What it does: 1. Upload a swing video. The AI pulls the key frames and breaks down contact, path, face, tempo, and body sequencing. 2. It writes you a short summary in plain English, plus 3 drills tied to whatever the top miss was. 3. You log sessions (speed, smash factor, miss patterns) and it updates your focus over time. 4. There is also a map with 24,000+ courses worldwide where you can log sightings with friends and a wagers system for golf bets with your crew (AI scans the scorecard, settles the bet). Things I got wrong along the way: 1. First version used a generic vision model. It was confidently wrong about everything. Lesson: general AI is not a golf coach. We had to fine tune on actual swing footage with a PGA pro labeling it. 2. Tried to replace the teacher. Bad idea. The tool is better as a daily practice partner between lessons, not instead of lessons. 3. Built too much at launch. Shipped the swing analyzer, course map, wagers, and drill library all at once. Should have shipped swing analyzer alone and let the rest follow. Ask me anything. Happy to run a free swing analysis on anyone who drops a video in the comments, no app download required. Also giving out free Premium codes to the first 50 people in this thread who want to actually use it. Not trying to sell anything here. Mostly curious what the crowd thinks is missing in the current crop of swing apps.
OBLITERATUS Gemma 4 E4B IT: AI Advances Text Generation
OBLITERATUS Gemma 4 E4B IT: Revolutionizing Text Generation with AI In the rapidly evolving world of AI driven text generation, OBLITERATUS Gemma 4 E4B IT stand…
VoxCPM2: OpenBmb's Latest AI Audio Model Revolutionizes
VoxCPM2: Revolutionizing AI Audio with OpenBmb's Latest Model VoxCPM2, the newest addition to the AI audio landscape from OpenBmb, is set to transform the way w…
Google's Gemma 4 26B-A4B IT: New AI Model on Hugging Face
Revolutionary AI Model: Google's Gemma 4 26B A4B on Hugging Face Google's latest offering, the Gemma 4 26B A4B, a sophisticated AI model, is now seamlessly inte…
Hugging Face's New AI Framework: InclusionAI LLaDA2.0-Uni
InclusionAI LLaDA2.0 Uni: Hugging Face's New AI Framework Introduction Hugging Face has revolutionized the AI landscape with the introduction of InclusionAI LLa…
MiniMax-M2.7 AI Tool: Transforming AI on Hugging Face
Revolutionizing AI with MiniMax M2.7 on Hugging Face The world of artificial intelligence is rapidly evolving, and one of the standout advancements is the MiniM…
Jackrong/Qwopus-GLM-18B-Merged-GGUF: New AI Model on Hugging Face
Jackrong/Qwopus GLM 18B Merged GGUF: The Latest AI Tool on Hugging Face Discover the innovative potential of Jackrong/Qwopus GLM 18B Merged GGUF , a cutting edg…
Lingbot Map: AI-Powered Language Translation Breakthrough
Lingbot Map: Revolutionizing Language Translation with AI In today's interconnected world, effective communication across language barriers is more crucial than…
Baidu's ERNIE-Image: New Visual AI on Hugging Face
Baidu's ERNIE Image: Revolutionizing Visual AI on Hugging Face Baidu's ERNIE Image is a state of the art visual AI model that represents a significant leap forw…
GLM-5.1: Zai-Org's Advanced AI Framework Unveiled
GLM 5.1: Advanced AI Framework by Zai Org GLM 5.1, developed by Zai Org, is a cutting edge AI framework designed to revolutionize artificial intelligence applic…
Unsloth/Qwen3.6-35B-A3B-GGUF: New AI Tool on Hugging Face
Unsloth/Qwen3.6 35B A3B GGUF: Revolutionizing AI Applications on Hugging Face Unsloth/Qwen3.6 35B A3B GGUF is a cutting edge AI tool available on Hugging Face, …
Qwen3.6-27B-DFlash: Revolutionizing AI on Hugging Face
Qwen3.6 27B DFlash: Revolutionizing AI with Hugging Face Introduction to Qwen3.6 27B DFlash Qwen3.6 27B DFlash, developed in collaboration with Hugging Face, re…
Tencent's HY-World 2.0 AI Framework: Key Updates and Features
Tencent's HY World 2.0 AI Framework: A Comprehensive Update Tencent's HY World 2.0 AI Framework is a cutting edge solution designed to revolutionize the way bus…
Unveiling Qwen3.6-27B-FP8: Hugging Face's New AI Tool
Unveiling Qwen 3.6 27B FP8: A New AI Tool from Hugging Face Hugging Face, a leading platform for natural language processing (NLP) and machine learning, has rec…
HauhauCS Qwen3.6-27B Uncensored AI Tool Reviewed
HauhauCS Qwen3.6 27B Uncensored AI Tool Review In the dynamic world of AI, HauhauCS Qwen3.6 27B Uncensored truly stands out as a powerful and versatile tool. Th…
Google's Gemma 4 31B IT: New AI Model on Hugging Face
Gemma 4 31B IT: Revolutionizing AI Tools on Hugging Face Google's Gemma 4 31B IT is a transformative AI model set to revolutionize the landscape of AI tools on …
DeepSeek AI Unveils DeepSeek-V4-Flash-Base on Hugging Face
DeepSeek AI Releases DeepSeek V4 Flash Base on Hugging Face DeepSeek AI, a leading innovator in artificial intelligence, has recently unveiled DeepSeek V4 Flash…
Hugging Face Launches Qwen3.6-35B-A3B Claude 4.6 Opus Reasoning
Hugging Face Introduces Qwen3.6 35B A3B and Claude 4.6 Opus Reasoning Hugging Face, a leading company in the field of natural language processing (NLP) and mach…
Unified Interface for Multiple AI Assistants: Poe
Unified interface for multiple AI assistants and models.
Google's Gemma 4 26B: Revolutionizing AI with Advanced Language Models
Google/Gemma 4 26B A4B it: A Comprehensive Overview Introduction In the ever evolving landscape of technology, Google/Gemma 4 26B A4B it stands out as a cutting…
Qwen3.6-35B-A3B: Claude 4.7, Opus Reasoning Distilled AI Tool
lordx64/Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled: Revolutionizing AI Interactions In the rapidly evolving world of artificial intelligence, the lordx…
OpenBmb/VoxCPM2: Revolutionizing AI Audio on Hugging Face
OpenBMB/VoxCPM2: Revolutionizing Voice Command Automation OpenBMB/VoxCPM2 is a cutting edge tool designed to facilitate seamless integration of voice command fe…
Lingbot Map: AI-Powered Language Translation Tool
Lingbot Map Enhancing Language Learning with Visual Representation Lingbot Map is a cutting edge tool developed by RobbyAnt, designed to revolutionize language …
Jackrong's Qwopus-GLM-18B: Merged GGUF AI Tool on Hugging Face
Unlocking Advanced AI Capabilities with Jackrong/Qwopus GLM 18B Merged GGUF Discover the cutting edge capabilities of Jackrong/Qwopus GLM 18B Merged GGUF, a gro…
MiniMaxAI/MiniMax-M2.7: The Latest AI Tool on Hugging Face
Discover the Power of MiniMaxAI/MiniMax M2.7 MiniMaxAI's M2.7 is a cutting edge AI model designed to revolutionize various industries with its advanced capabili…
Baidu's ERNIE-Image: Revolutionizing Visual AI
介绍 ERNIE Image: 基于图像的全新自然语言处理模型 ERNIE Image 是百度推出的一种先进的自然语言处理模型，专为图像理解和分析而设计。它结合了图像识别和语言处理的优势，旨在提供更精准的图像理解和语义分析能力。本文将详细介绍 ERNIE Image 的用途、优势及其在多个领域的应用。 用例 1. 图像…
GLM-5.1: Advanced AI Framework by Zai-Org on Hugging Face
Title: Unleashing Efficiency with Zai Org/GLM 5.1: An Advanced Transformation Framework Zai Org/GLM 5.1 is a cutting edge transformation framework designed to s…
Qwen3.6-27B-DFlash: Hugging Face's Latest AI Tool
Exploring Z Lab/Qwen3.6 27B DFlash: A Revolutionary AI Model The rapid advancements in artificial intelligence have brought forth a myriad of powerful AI models…
Qwen3.6-35B-A3B-DFlash AI Framework on Hugging Face
Unveiling the Power of Qwen3.6 35B A3B DFlash Introduction The Qwen3.6 35B A3B DFlash is an advanced AI model by z Lab AI that has revolutionized the field of n…
Qwen 3.6-27B-FP8: New AI Tool on Hugging Face
Qwen/Qwen3.6 27B FP8: Revolutionizing Text Generation and Understanding Qwen/Qwen3.6 27B FP8 is a state of the art language model designed to push the boundarie…
Tencent's HY-World 2.0: Revolutionizing AI Interaction
Tencent/HY World 2.0: Revolutionizing Digital Interactions The release of Tencent's HY World 2.0 marks a significant milestone in the evolution of immersive dig…
DeepSeek-V4-Flash-Base: A New AI Framework on Hugging Face
DeepSeek V4 Flash Base: A Breakthrough in Top tier AI Models DeepSeek V4 Flash Base, developed by DeepSeek AI, represents a significant advancement in the realm…
Google's Gemma-4-31B-IT: A New AI Tool for Advanced Language Processin
Unveiling the Potential of Google/Gemma 4 31B IT: A Comprehensive Guide Google's GEMMA 4 31B IT is a cutting edge language model designed to enhance conversatio…
Hesamation Qwen3.6 AI Tool: Advanced Reasoning & Distillation
Hesamation Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distilled GGUF: A Comprehensive Guide What is Hesamation Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distille…
HauhauCS/Qwen3.6-27B-Uncensored: Unleashing AI Potential
Unleashing the Power of HauhauCS/Qwen3.6 27B Uncensored HauhauCS Aggressive Explore the capabilities and benefits of the HauhauCS/Qwen3.6 27B Uncensored HauhauC…
Obliteratus Gemma-4-E4B: Advanced AI Tool on Hugging Face
OBLITERATUS/Gemma 4 E4B it OBLITERATED: A Cutting Edge Cryptography Standard In the rapidly evolving world of cybersecurity, OBLITERATUS/Gemma 4 E4B it OBLITERA…
InclusionAI LLaDA2.0-Uni: Revolutionizing AI Accessibility
Unlocking the Power of InclusionAI: Llama 2.0 Uni In an era driven by artificial intelligence, inclusion and accessibility have become paramount. InclusionAI, w…
HauhauCS Qwen 3.6-35B-A3B: Uncensored AI Tool on Hugging Face
HauhauCS/Qwen3.6 35B A3B Uncensored HauhauCS Aggressive: The Ultimate Guide The Qwen3.6 35B A3B Uncensored HauhauCS Aggressive is a cutting edge, large scale la…
DeepSeek-V4-Pro-Base: Advanced AI Framework on Hugging Face
DeepSeek V4 Pro Base: Revolutionizing AI Language Models DeepSeek V4 Pro Base, an innovative language model developed by DeepSeek AI, is designed to push the bo…
Unsloth Qwen3.6-35B-A3B-GGUF AI Tool Release on Hugging Face
Unsloth/Qwen3.6 35B A3B GGUF: A Comprehensive Guide Discover the powerful capabilities of Unsloth/Qwen3.6 35B A3B GGUF, a cutting edge language model designed t…