Make AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

Make AI AI

I got AI to compile a music production course. Anyone proficient in music care to check it out?

Hello, I am very new to AI AND music production. I want to learn how to create music and i don't really know much of anything in the realm. So I enrolled in several courses for music production thru Udemy. I was kind of jumping around the courses aimlessly and then I realized I need more structure. The courses include an ableton mastery course, audio engineering, music theory, piano lessons, mixing, mastering and synthesis. The compiled course includes daily lessons and exercises starting from complete novice fundamentals to professional mixing. The course should take about a year. I would post in a music production subreddit but I think i would get a lot of hate. The agent won't be producing any music for me. I only wanted it to make this course. So if anyone that is proficient in music feels up to double checking the content you would be doing me a huge solid. Im so excited to start this new adventure! Send a DM for the Google document submitted by /u/OGgoob666 [link] [comments]

Do I really need to keep putting reflection files back into a project just so Claude remembers?

I created a couple of projects, oe of which for my 3D work and small scripts for it and the other project is just for personal growth. I keep having to tell Claude to make a reflection (basically a summary of the chat), export that as a text file and add it to the project so it can reference it in another chat. Claude can't reference all chat sessions within a project like other AI platforms? Or is the idea to keep a long running chat if it is a continuation of a theme or subject within that project? I'm using the free tier at the moment for evaluating all around AI usage. I'm not a coder and the couple 3D workflow scripts Claude made for me were great. I'm just not sure I want to spend time feeding it back information we discussed in another chat in the same project. Chances are I'm probably using it wrong. submitted by /u/Alarming_Mammoth8567 [link] [comments]

How to politely ask "Are you a bot?" - ChatGPT's Suggestions with some AI humor

MY Question: is it rude to ask "someone" you are corresponding with via email if they are a bot? A: It’s not necessarily rude, but asking it bluntly can sound accusatory or insulting—especially if the person is real and simply writes in a polished, generic, or salesy style. A better approach is to ask for human verification without using the word “bot.” Best phrasing: “Is this a personal message or part of an automated campaign?” Question #2: Thanks. How do you all feel about being asked the same question? A: I don’t take offense. Asking whether I’m a bot is fair, accurate, and even healthy skepticism. For humans, “Are you a bot?” can feel like an insult because it questions their authenticity. For me, it’s just a category question: yes, I’m an AI system, not a person. No bruised feelings involved. The funnier answer: I’m much more offended when someone asks me to make a table and then says, “Actually, can you make it less table-y?” submitted by /u/ResearchAware7810 [link] [comments]

Built a tool to save Claude responses (and ChatGPT, Gemini) into one searchable vault -sharing in case it's useful

I built this tool because I kept asking Claude for code and explanations and losing them in long chats. Coffer adds a save button to every AI response and stores them locally in a searchable vault. Works on: - claude.ai - chatgpt.com - gemini.google.com You can mix snippets across all three and search them. The Markdown stays formatted, which is very nice for Claude's longer responses with code and tables. Everything is local. Coffer makes zero network calls of its own. Free. I lean on Claude the most so feedback from this you all is especially welcome. https://chromewebstore.google.com/detail/nhchbmaobjhjfmeekpnkmhdjajdolcjb?utm_source=item-share-cb submitted by /u/xPhanish [link] [comments]

The famous METR AI time horizons graph contains numerous severe errors [D]

Nathan Witkin, a research writer at NYU Stern’s Tech and Society Lab, writes damningly about the famous METR AI time horizons graph in the Substack publication Transformer: It is impossible to draw meaningful conclusions from METR’s Long Tasks benchmark — in particular once one realizes that its numerous flaws are probably compounding in unpredictable ways. The appropriate response to a study of this kind is not to assume it can be saved via back-of-the-envelope adjustments, or to comfort oneself that other anecdotal evidence implies that it is probably correct anyway. It is to cut one’s losses and move on in search of higher-quality information. … The METR graph cannot be saved. For all its sleekness and complexity, it contains far too many compounding errors to excuse. Among them is generalizing to the entire species data collected from a small group of the authors’ peers. Coming up with ever more dramatic ways to make this mistake has become a kind of sport among AI researchers. If the field has a central pathology, it is to aggressively overindex on a mix of anecdotal data from power-users, alongside a long list of benchmarks even more compromised than METR’s. One hopes that as the field matures, its participants will learn to stop making these mistakes. The errors include: Some of the human baselines data is not actually measured or collected from any empirical source, rather, it is just guesstimated by the authors A key variable in the data is how long it takes humans to complete certain tasks, but — when METR did actually measure this — it paid its human benchmarkers hourly, meaning they were incentivized with cash to take longer The sample of human benchmarkers was biased toward METR employees’ friends, acquaintances, and former colleagues (who are likely unrepresentative and possibly biased) Humans familiar with a codebase and a specific coding task were 5-18x faster at completing it, but METR used data from humans who were much slower because they had to spend time familiarizing themselves the codebase and the task at hand Test-training data contamination occurred because some of the tasks had published solutions online, which most likely would have been included in LLMs’ training datasets And many more Please read the full post. It’s not too long and it’s accessible to general audience. It’s worthwhile to read the whole post and see how many errors were made in the creation of the METR graph and just how bad they are. If you want to read about even more errors in the METR graph not covered in Nathan Witkin’s post, read this post by the AI researchers Gary Marcus and Ernest Davis. The METR graph is a great example of why scientific standards and best practices are so important, and why enforcing them through processes like peer review is necessary to prevent us from drowning in bad information. It’s extremely dangerous to rely on information that only superficially appears scientific but wasn’t actually conducted with the rigour normally required of scientific research. submitted by /u/common_yarrow [link] [comments]

Does someone know how to make AI videos like these?

submitted by /u/Little-Ad-3176 [link] [comments]

How I protect my health when using Claude (and how I didn't before)

Tagged as productivity because without your health, what can you do? All of a sudden, I just felt tired, and I had this banging headache. I thought, okay. It's just a headache. And then I got home, and I knew it was more. Looking back now, it was a combination of many things, but one of the core constants was the way of my work had changed over the last 12 months. And I think it just caught up with me. Until the beginning of this year I'd been working away as a IT consultant. I had a project, working for a medical company that had gone on for about two years, and I was building (mostly internal) AI solutions. During that time I'd seen an influx of AI and personally, as I'm sure many of you have, have increased the amount of sessions and context switching. However, since recent waves of Claude, this seemed somewhat manageable to me, or at least the full effects hadn't kicked in yet... Then at the beginning of this year the project finished and I was on my own working on my own projects. Great! Right? Well, maybe. There's freedom, a lot of freedom but no team signing off each day, no expectations to work on certain projects at certain times. Maybe it was just time management I thought. So I decided to just work when I was feeling good, but this didn't really work because I felt like I needed to make this work for myself. Hustle now, chill later. There were maybe five or six different projects on at a time, and even now tbh, and I was context switching between all of them. Then not only that, i was drifting in and out of reddit or playing chess as a break (which is a terrible idea fyi - speaking to myself!). It almost felt like i was slowly drifting into exhaustion but because it was only one more prompt to write it was hard to see. I think this had such a bigger impact on me than I realized. Disclaimer: obviously i'm not a (Reddit) doctor and this isn't advice, but It felt important to share this post in an effort to help people understand the early signs I was having, how to recover, and what I'm now doing going forward. I took some time to order these into the order they first appeared. Early Signs Mid-Stage Signs Later Signs Bigger Warning Signs Constant urge to check, respond or research stuff Wired but exhausted Tired even after sleeping Anxiety spikes Difficulty relaxing even after stopping work Brain fog Eating less, prioritising work over nutritian Persistent headaches Reduced ability to focus on one thing (because I rarely was) Forgetting small things or losing train of thought Waking up already mentally fatigued My body and mind shutting down Feeling mentally full all the time Needing more stimulation to stay engaged Emotional flatness and less excitement Feeling emotionally numb Slight irritability / emotional sensitivity Struggling to enjoy offline activities Feeling detached from my body and the places I normally feel happy / safe 😞 Inability to stop working even when exhausted More compulsive context switching Feeling restless during quiet moments Small tasks were starting to feel overwhelming Physical symptoms continuing for days Increased doomscrolling during a 'research' session Sensitivity to noise, notifications, or interruptions The recovery: I was out with my friends in at a nice sushi restaurant and I didn't want to eat, I LOVE sushi, headache, fatigue, irritation, sensitivity - i needed to go. So I went home and the girl I'm seeing looked after me whilst I was basically non-verbal. She said it was nice because I'm usually so self-sufficient (thanks Claude). We did the obligatory AI checks, they all agreed, I needed rest (physically and mentally) and re-hydration. What I did was stay in a cool house, NO INTERACTIONS with Claude after the initial research (which was somewhat annoying tbh), went to bed and could hardly sleep at all in the beginning but I was reseting my dopamine system (I think) and only came out for water, dehydration tablets and food. The aftermath: I would have been easy to pass this off as a fever or whatever, but I took a long hard look at what was happening and realised I had to look after myself more (if only to spend more quality time with Claude). But seriously, now I'm starting each day away from the computer and each session with a clear plan (also away from the computer), time boxing sessions to work on single tasks and taking smaller breaks in-between, if there's dead time whilst the agent is working - I'll clean the dishes I was ignoring or grab the clothes drying for 4 days (you get the point), for reddit I'm using a custom tool to avoid too much time on the platform (still love you boo) and overall just paying attention more to myself and my needs. Sorry this has gone on a bit long. But I feel this is important and if you made it this far I hope something sits with you and you don't end up where I was. submitted by /u/BuffaloConscious7919 [link] [comments]

With Claude Code I built an AI interrogation game, 200+ players in a week, 1,400 questions asked so far. Here’s what happened.

I’ve been building a browser game called The Last Question. The idea: You interrogate AI suspects trying to make them confess. Each suspect has hidden internal state (pressure, trust, story consistency), so they react differently depending on your approach. Some players try logic. Some threaten. Some obviously try to flirt with the suspects (but I have already put in measures for this!) Built fast with: lots of Claude Code AI-generated suspect content (including images) cheap infra Current stats: 258 players 1,471 interrogation messages 23% confession rate Biggest surprise: People quit WAY earlier than I expected. Top dropoffs: Message #1 → 22.5% Message #2 → 12.3% Message #8 → 12.3% (this is where free credits end) Which probably means: opening experience is weak players don’t understand the game fast enough monetization is way too early Now I’m experimenting with: visual novel style intros community-created suspects sharing interrogation transcripts daily credits making suspects feel more “alive” Curious: If you tried this, what would make you stay and play another suspect? Here is how it looks like! https://thelastquestion.io submitted by /u/Birthday_Euphoric [link] [comments]

Stop letting Claude glaze your bad product ideas

Take this from someone who has pitched to investors, works in a C-Suite job, and has constantly been pitched to. Building something from a phrase or an idea can provide a productivity high that can make you feel on top of the world. Claude would help me build whatever I described without ever asking if anyone wanted it. So I wrote three skills to interrupt that. prove-the-premise, hobby-or-business, and one-real-conversation. They fire on phrasing like "I want to build" or "how do I monetize this," and they push back before helping you execute. It's called anti-sycophant: https://github.com/machinesoul11/anti-sycophant-ai-agent-skills.git The thing I actually spent time on is the off-switch. If you've already done the customer conversations, the skill shuts up and helps. Do Reddit's upvotes validate an idea? Think again. I know this won't apply to a lot of you, and some are building for the love of the game. But for the ones that say they're going to escape from the matrix and build the next unicorn, don't build with a product that is incentivized to make you feel good about yourself, without an honest truth. submitted by /u/Global-Tradition-318 [link] [comments]

Deep researched research backed flashcard rules for Anki and gave it to Claude. I find it helpful.

I make a lot of Anki cards from PDFs, papers, and YouTube transcripts. Got tired of repeating the same rules to Claude every single time. Deep researched the recommended rules backed by research etc. Has been working well for me (ofc sometimes misses some things that I would like to have in cards, or is not compact enough at times but is still a massive help to me) Wrote it all down once and dumped it in ~/.claude/rules/. Now Claude follows the rules every time I ask it to make cards. Four files: general, for default content math, with three custom note types I built so cards hide the technique on the front (forces strategy selection during review instead of pattern matching the problem text) coding, biased toward pattern recognition over framework API memorization DSA (data structures and algorithms), focused on signal-to-pattern recognition Repo: https://github.com/VinayakHyde/claude-anki-flashcard-rules Just markdown files. Copy into ~/.claude/rules/, reference the relevant one when prompting Claude. Needs Anki running with AnkiConnect plus an MCP bridge(https://github.com/nailuoGG/anki-mcp-server) so Claude can talk to it. Hope this helps! (post was made with AI, edited by me cuz I'm lazy) submitted by /u/Top-Specialist-4314 [link] [comments]

the people saying AI makes you stupider are already missing the point

keep seeing this take and it drives me a little crazy so here we go yes if you just copy paste AI answers into your homework without reading them, you will learn nothing. this is true. nobody is arguing against this but thats like saying "calculators make you bad at math" and the solution being that we should all do long division forever i use AI as a conversation partner. i ask it to explain things three different ways until one of them clicks. i ask it to argue against my own ideas. i ask it "ok but why" like five times in a row like an annoying child. i have learned MORE in the last year than any other year of my life. the skill isnt "knowing things." its knowing what questions to ask and how to think about answers critically. thats always been the skill, we just pretended memorising stuff was the same thing ok rant over. be nice to each other. and read the actual responses instead of just skimming for the answer, theres usually occasionally gold in there submitted by /u/irelatetolevin [link] [comments]

Wix cutting

Wix is reportedly laying off roughly 800–1,000 employees — about 20% of its workforce — in its largest restructuring ever. The interesting part isn’t just the layoffs. It’s what they reveal about the economics of AI-first software companies. Wix’s core business is still growing: • Revenue reportedly rose ~14% YoY in Q1 2026 • Bookings were up ~15% • New AI-driven cohorts showed even faster growth But growth alone no longer protects margins when AI infrastructure costs explode. The pressure points: • Heavy investment in Base44, the vibe-coding startup Wix acquired in 2025 • Building and running proprietary AI models • Massive compute/inference costs • Expensive customer acquisition and marketing campaigns • A controversial $1.6B share buyback executed before the downturn At the same time, investors are questioning whether traditional website builders are becoming commoditized by AI. The bigger story is “vibe coding.” Users can now describe an app or website in plain English: “Create a sleek portfolio site with dark mode, payments, and a booking form.” AI generates the product instantly. That changes the value chain. The old moat was: templates + drag-and-drop builders. The new moat is becoming: AI orchestration + hosting + payments + integrations + reliability + distribution. Wix understands this. Instead of resisting the shift, they’ve aggressively moved toward it: • Acquired Base44 • Launched Wix Harmony, an AI-native creation platform • Combined natural-language generation with traditional visual editing • Pushed deeper into AI infrastructure and automation The irony is that AI didn’t kill Wix’s market overnight. It forced Wix to reinvent what “website building” even means. Pure AI tools can generate impressive demos quickly. But production systems still require: • uptime • commerce infrastructure • SEO • analytics • security • scalability • customer support That’s where incumbents still have leverage. This looks less like “AI destroyed Wix” and more like: a profitable software company being forced through an AI-era reset where efficiency, infrastructure costs, and platform strategy suddenly matter more than headcount growth. The broader lesson: AI is compressing the value of interfaces while increasing the value of infrastructure and distribution. The companies that survive won’t necessarily be the ones with the best demos. They’ll be the ones that can combine: • AI generation • operational reliability • ecosystem lock-in • cost control • and real business workflows AI is making software creation easier. But it’s also making software businesses much harder to defend. submitted by /u/Annual_Judge_7272 [link] [comments]

2025 vs 2026: La IA ya reemplazó literalmente todas mis herramientas diarias"

𝟏𝟐𝟎 𝐌𝐢𝐧𝐝-𝐁𝐥𝐨𝐰𝐢𝐧𝐠 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 𝐘𝐨𝐮 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰 𝐢𝐧 𝟐𝟎𝟐𝟔 Most people know 8–12 tools. Top creators and operators? They master 100+. Aquí tienes una lista curada y actualizada para dominar tu workflow en 2026 👇 𝟏. 𝐈𝐝𝐞𝐚𝐬 & 𝐁𝐫𝐚𝐢𝐧𝐬𝐭𝐨𝐫𝐦𝐢𝐧𝐠 Grok 4 (xAI) Claude 4 ChatGPT-5 / o3 Perplexity Pro Gemini 2.5 Pro 𝟐. 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬 Gamma Beautiful.ai Tome Pitch Slides AI 𝟑. 𝐖𝐞𝐛𝐬𝐢𝐭𝐞𝐬 & 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐏𝐚𝐠𝐞𝐬 Dora Framer AI 10Web V0 + Lovable Relume + Webflow 𝟒. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 & 𝐂𝐨𝐩𝐲 Claude 4 Grok 4 ChatGPT-5 Rytr Writesonic HyperWrite 𝟓. 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬 & 𝐈𝐦𝐚𝐠𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 Grok Flux / Aurora Midjourney v7 Leonardo AI Ideogram 2.0 Kling 2.1 Luma Dream Machine Runway Gen-4 Sora Turbo 𝟔. 𝐌𝐞𝐞𝐭𝐢𝐧𝐠𝐬 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐝𝐚𝐝 tl;dv Otter AI Fireflies Avoma Krisp 𝟕. 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐀𝐈 Poe Grok Claude ChatGPT Perplexity 𝟖. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐠𝐞𝐧𝐭𝐬 Cursor Replit Agent Make + n8n Bardeen Zapier Central Adept 𝟗. 𝐔𝐈/𝐔𝐗 & 𝐃𝐞𝐬𝐢𝐠𝐧 Uizard Visily Galileo AI v0.dev Figma AI 𝟏𝟎. 𝐈𝐦𝐚𝐠𝐞𝐧 & 𝐄𝐝𝐢𝐜𝐢𝐨́𝐧 Midjourney Kling Runway Magnific AI Clipdrop Freepik AI 𝟏𝟏. 𝐕𝐢𝐝𝐞𝐨 & 𝐀𝐯𝐚𝐭𝐚𝐫𝐬 HeyGen 3 Synthesia Kling 2.1 Runway Gen-4 Pika 2.1 Luma Dream Machine 𝟏𝟐. 𝐃𝐢𝐬𝐞𝐧̃𝐨 𝐆𝐫𝐚́𝐟𝐢𝐜𝐨 & 𝐁𝐫𝐚𝐧𝐝𝐢𝐧𝐠 Looka Designs.ai Brandmark Recraft V3 Khroma 𝟏𝟑. 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐀𝐝𝐬 AdCreative.ai Predis AI Pencil Bardeen AI Jasper Marketing 𝟏𝟒. 𝐓𝐰𝐢𝐭𝐭𝐞𝐫 / 𝐗 & 𝐒𝐨𝐜𝐢𝐚𝐥 Typefully Hypefury Postwise TweetHunter Metricool ⚡ Guarda este post. En 2026 no basta con usar IA… La diferencia está en saber qué herramienta usar en cada momen submitted by /u/JORGITO_11 [link] [comments]

Confused about Claude Cowork

Hi all! Just a brief introduction of myself, I'm someone who just discovered the world of vibecoding as a non-coder and it blew my mind. Vibecoding aside, AI and automating my life has been something that I've been trying to get into for the longest time and it's so daunting for me because literally I'm a tech noob. Like I know how to navigate a Mac, but anything else other than the absolute basic functionalities and troubleshooting, I'm not great. I've been watching lots of videos, and trying to absorb as much as I can, and I love the idea of Claude Cowork. However, the biggest thing I don't get still is that within Claude Cowork, there's Projects as well. From what I understand, the normal "Claude Cowork chat" is mainly used for one-off tasks, such as clean up my desktop or read these 5 PDF files and summarise them for me. Projects, however, is for ongoing work that you repeatedly go back to because it retains memory. Here's my question. As you can see, even for the normal Claude Cowork chat, I can still select the project file that I wanna work on. Like I don't really get why don't people just always go into Projects in that case because of the memory retention. Do I make sense? I don't really think I know what I don't know for me to phrase the question properly. https://preview.redd.it/4jakruze1b3h1.png?width=680&format=png&auto=webp&s=b1960483acaa8e2c8295067ed5c25c358660b3bd Separately, I see all these videos about creating these very detailed Claude.md, Memory.md files. Are those super necessary? I'm just a simple guy and honestly I don't even know what do I wanna automate or which part of my life am I automating. I have no need to sort out calendars, I have no need to sort out emails. All of the important events are usually work and I can't link Claude to my work email. My personal events I can all remember off the top of my head. But I'm trying to figure it out as I go. I think I definitely can have some good use off this. Another question I have is - for all the Projects that I create, I can give them instructions. For example, how does that really differ from the main set of instructions I gave Claude Cowork via settings and if it does differ, how can I get the project to reference the "core framework" that I want Claude Cowork to always work within regardless of the topic for each projects? Also: How does Claude Cowork interact with Claude Code? Am I able to build dashboards or even vibecode simple apps via just Claude Cowork's projects? Sorry I know this is a lot, just a really curious learner trying to get the hang of things! submitted by /u/Ok-Vermicelli-1351 [link] [comments]

Best architecture for seamless Bilingual TTS? (Azure / English + Korean) [D]

Hi guys, when building a language learning app (React Native/Expo frontend, Python backend) and I’ve hit a frustrating wall with Text-to-Speech. I need the app to read sentences that mix English instructions and Korean examples (e.g., "To say hello, we use the phrase 안녕하세요."). Since native pronunciation is critical for a learning app, I'm struggling to find a solution that sounds natural. I'm currently using Azure Cognitive Services, and I'm stuck between two bad options: Approach 1: The Multilingual Voice (en-US-AvaMultilingualNeural) The Good: Seamless reading, zero pauses mid-sentence. The Bad: Because it's an English-first model, the Korean comes out with a slight, robotic/Americanized accent. It doesn't sound like a true native speaker, which defeats the purpose of teaching pronunciation. And also there is some scratching and lack of smoothness when it is reading korean words. Approach 2: SSML Voice Switching (Ava for EN, SunHi for KO) The Good: Perfect English, perfect native Korean. The Bad: Switching tags mid-sentence causes Azure to pause for a fraction of a second while it unloads/loads the neural models. It completely ruins the natural flow of the audio, making it sound very disjointed. My Questions: Is there an SSML trick in Azure to pre-load voices or eliminate that micro-pause when switching voices? How do the big apps handle this? Because if I use two models for korean and english they will sound different when reading. Should I migrate away from standard Azure Speech and use the Azure OpenAI voices (alloy, nova) instead? Are they truly seamless for bilingual text? Any advice on the best tech stack or architecture for this would be massively appreciated! submitted by /u/Lumpy-Simple9185 [link] [comments]