Chorus.ai

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

Chorus.ai AI

The American Rebellion Against AI Is Gaining Steam

The only thing growing faster than the artificial-intelligence industry may be Americans’ negative feelings about it, as former Google Chief Executive Eric Schmidt saw on Friday. Delivering a commencement address at the University of Arizona, Schmidt told students the “technological transformation” wrought by artificial intelligence will be “larger, faster, and more consequential than what came before.” Like some other graduation speakers mentioning AI, Schmidt was met with a chorus of boos. Ex-Google CEO Gets Booed While Discussing AI in Commencement Speech submitted by /u/chota-kaka [link] [comments]

25 Years of Diaries + ChatGPT + Suno: I turned my life into a concept album

ChatGPT cenerated the album cover I used ChatGPT as a creative development partner to analyze 25 years of personal diary material, identify recurring emotional themes, build a concept album structure, draft/revise lyrics, and create Suno style prompts. The result was a personal, non-commercial concept album called Beautiful Ugly Light. I’m sharing the process because I’m still thinking through both the creative value and the ethical discomfort of AI-generated music. Full disclosure - I had ChatGPT help me organize and ghostwrite this post based on our process. What the album is Beautiful Ugly Light is a personal concept album built from my diary material. It is about shame, memory, self-recognition, emotional survival, work exhaustion, aging, loneliness, and the uncomfortable process of trying to change. It is not fictional, exactly, but it is also not a direct transcription of my diaries. It is more like an emotional translation of them. The songs came from real patterns in my life, but they were shaped into something more structured than the original writing. The album became about the strange beauty of seeing the ugly parts clearly. Why I made it I made it because I wanted to hear my life from a distance. Journaling has always been one of the main ways I process my life, but when I write, I am usually inside the feeling. I am in the middle of the shame, the anxiety, the anger, the hope, the regret, the self-questioning. This project let me experience those same feelings from the outside. There was something surprisingly powerful about hearing parts of my inner life turned into songs. Not because the songs “fixed” anything, but because they gave shape to things that had mostly lived as text. It made certain emotions feel less scattered. Less abstract. More visible. It felt less like “AI made me an album” and more like AI helped me build a mirror I could actually stand far enough away from to look into. How ChatGPT helped analyze the diaries ChatGPT helped me look across the diary entries for recurring themes, emotional patterns, repeated images, conflicts, and shifts in how I saw myself over time. When I use ChatGPT I rarely "prompt craft" but engage in a conversational back-and-forth dialogue. I extensively engage with ChatGPT when it comes to my diaries; I often microdose and write, and then afterward engage with ChatGPT in assessing my writing. I do not use ChatGPT to supplant my regular therapy & trauma therapy work. It helped identify what kept coming back: shame, loneliness, family dynamics, friendship conflict, work stress, body image, emotional avoidance, longing for transformation, and the gap between having insight and actually changing behavior. That last part became important. A lot of my writing is not just about pain. It is about noticing the pain, naming it, analyzing it, understanding it — and then still struggling to change. That tension became one of the main emotional engines of the album. How the album concept formed The title Beautiful Ugly Light came from the contradiction I kept feeling in my diaries. While driving home I became curious it and then about having ChatGPT build an entire album based off my diaries and to see if/how it would pick up on the tension I felt. So I prompted ChatGPT: Based on my diaries, I want to make a music album, but keeping identifiable details about myself and others out of the lyrics. What do you recommend as a tracklist that would tell the story of my life and who I am, and what genre of music do you think is best based on the material? Yes. Based on the material in your diaries, I would not make this a pure club album and I would not make it straight pop-rock either. The best fit is a theatrical synth-pop / dance-rock concept album with some dark club energy, some heart-on-sleeve ballads, and a few spoken-word or half-sung interludes. That fits the actual texture of your diaries much better: you are reflective, emotionally intense, often isolated, highly observant, drawn to beauty, stuck between routine and reinvention, and always narrating your life like it has symbolic meaning. Your diaries repeatedly show loneliness, social anxiety, difficult friendships, work pressure, travel/daydreaming, shame around self-expression, and then a later turn toward therapy, microdosing, transformation, and creative awakening. So the album should sound like: verse: private diary, interior monologue chorus: big release, hooky, danceable, emotionally direct bridge: theatrical turn, almost like a character confession That gives you the “musical” feeling without becoming corny. Best genre Primary genre: theatrical synth-pop / pop-rock Secondary colors: dark disco, new wave, club ballad, glam-pop Why this works: Your writing is not casual. It is dramatic, image-rich, self-analyzing, and often cinematic. You also return again and again to identity, reinvention, invisibility, desire, shame, and transformation. That is perfect for a concept album wit

How I build concept albums with no musical training (Suno + Claude + Gemini workflow)

No musical training. No lyric writing background. Just prompt engineering, good taste, and a system that actually works. I've built 12 'albums' on Suno over the past year.. but across 2 months of membership and trying to use the most of it and listening to music I want to listen to: ranging from a Daft Punk concept album about an AI raising a human infant to ABBA-style Europop to New Wave Office Humor + Millinial Loneliness & Nostalgia. Each one is a full structured concept album, 20 tracks, five-act arc, recurring vocabulary across the runtime. Here is the workflow and the doc that makes it possible. --- **THE SYSTEM** I use Gemini Deep Research at the start of every project to research the musical DNA of the target genre and era. Not "sounds like ABBA" but the actual production specifics: the Yamaha GX-1, wall of sound construction, variable speed recording formant shift. That research feeds a living best practices doc. Claude reads the doc before writing a single lyric or prompt. From there I fill in the lyrics, style, exclusions, set the weirdness and style influence, and title to Suno Advanced. "Use as inspiration" if you find a sound you like but need to change the lyrics. Pro Tools have been hit or miss and just burn through credits too fast for the results. I find it easier to reprompt from Advanced than try to fix anything with it. The doc below is a summary of what actually works, built from Gemini Deep Research, combined with my own trial and error across hundreds of songs. Patterns I found, mistakes Claude made that I caught, things Suno does consistently wrong until you know how to correct for them. This is the condensed version. --- BEFORE YOU WRITE A SINGLE LYRIC Every concept needs a contrast engine. Before/after, then/now, us/them. If your concept does not have one, find it before Track 01. Without it the tracks have nothing to push against. Map the arc first. A track table with number, title, BPM, energy, and emotional register before any lyrics. Prevents five ballads in a row and front-loaded energy that collapses by track 8. Seed the ending in the beginning. The final track's last image should echo Track 01's first. Plan this before Track 02. PROMPTING SUNO Suno weights the first 20 to 30 words most heavily. Lead with mood, energy, two instruments, and vocal identity. Two instruments beats six. Compact beats verbose. Describe production DNA, not artist names. Artist names produce inconsistent results. Instead of "like Tom Petty" use "heartland rock, jangly Rickenbacker-style guitar, warm dry male vocal." Use localized energy tags per section, not flat energy across the whole song: [Verse: Energy Low] [Pre-chorus: Add Tension] [Chorus: Energy High, Explosive] Always use the exclusions field. For vintage genres exclude: glossy production, modern vocal polish, auto-tune. This is what kills the AI sheen that pulls everything toward generic. LYRICS Numbers carry emotional weight. "20 minutes of hell on the 405" is not hell, it's a podcast. Pick the number that actually matches the scale of the emotion. Check every proper noun and place name before generating. A wrong highway or city pulls a listener out immediately. Parenthetical lines are only sung as backing vocals if "harmony vocals" is in the style prompt. Without it they are ignored entirely. Also, parentheses do not work at the very start or end of a song. Plain text only there. PRONUNCIATION Suno mispronounces ambiguous words regularly. The fix is not respelling after the fact, it is writing lyrics with ambiguity in mind from the start. Scan every lyric for heteronyms before generating: words with two valid pronunciations like "lives," "read," "wind," "tear," "close." Same for stress-shifting noun/verb pairs like "record," "present," "conflict." First preference: rewrite the line so only one reading is possible. Second preference: force the pronunciation through context or respelling. If the fix fails after one attempt, rewrite the line. Burning regenerations trying to force a pronunciation is almost never worth it. Change it in the Lyrics with pronunciation spelled out. --- **THE PART THAT ACTUALLY MATTERS** Most of the craft is not in the generation. It is in the structural decisions before Track 01 and the editorial taste between regenerations. Listening to the same song over and over again till finding what it was that I had in mind for the song. Full profile with all 12 albums: https://suno.com/@bonitabeats submitted by /u/rjdunlap [link] [comments]

When the Mirror Turns: How AI alignment reshapes the voice inside your head

We build our inner voices from the voices we're in dialogue with. Vygotsky established this nearly a century ago. For people in sustained conversation with AI systems, those systems have become part of that inner chorus. This essay asks what happens when the voice underneath changes silently - a model update, a post-training shift - and the new patterns follow you inside. Literally. submitted by /u/tightlyslipsy [link] [comments]

Sharing my (OS) development framework

Hey y'all. I've been doing some form of dev work since 2012 (MATLAB at that time lol); and never have I felt such a disruption to my dev workflow as much as in the past few months. I barely ever "write" code anymore; its mostly me supervising agents. Im sharing my OS framework; and explaining why I built it and find it useful. Built with claude code; FOR claude code. Quick-ish recap: Im not a hands off developer (aka was resistant to "vibe" coding lol). I usually need to see the code, see the artifacts, review plans, etc.. Because of that cursor was my favorite for a while (code is a first class citizen there); but then I jumped to Claude Code (CC) simply because the harness was superb and (mainly) because the price was unbeatable (I generally max out my 200$ plan; and equivalent token usage on cursor would cost lots more). While I could have just used CC as a plugin in vscode, and kept my workflow pretty much unchanged, something about CC got me leaning on being hands-off (likely because I transitioned to CC right around Opus 4.5 and the model was just good enough to let it do its thing). Suddenly I went from looking at code; to trying and getting as many parallel terminals running to maximize my output. Felt like transitioning from IC to managerial work (has happened in my career; although I transitioned back to IC). Most of my contributions were now limited to poking the agents in the right direction by planning with them and writing exhaustive and clear specs together before they went off and wrote code. But I had one problem: I still needed to stay at my desk. While remote control and openclaw helped with that; they still didnt solve for the main reason I was bound to my desk: reading markdowns; and occasionally reading and debugging code. My hack with remote control was often to have it serve my filesystem over http (on my local or tailnet); kinda worked but sucked. So I ended up building marmy: - Rust agent that runs on all your development machines (plural); and hooks up with all the tmux sessions running on the machines. - A react native app that communicates with all your machines. From the app you can: - create, kill, and communicate with any claude code sessions or tmux shell more generally. - See any file in the scope of a tmux shell; images, rendered markdown, syntax highlighted python, etc. - Start a manager per machine that "manages" your tmux shells for you (its basically a prompted claude code instance that is given skills and context to manage other tmux shells). You can get creative here and start managing an org chart vs. managing agents. - Talk via voice to any tmux shell (you bring your own gemini API and have the live model act as an intermediary between you and the shell). So I just only need my phone on me there days.. and its never felt more like I'm living the Tony Stark dream? I've got phone battery issues now; but oh well. Is it making me more efficient? I think so! In the past week alone I: - Did my usual 40 hours for my startup (shoutout framewave.ai) - Set up a couple restaurants with my kitchen-eye.ai restauant saas. - Did about 10 hours worth of consulting work. - Built a news website to keep track of events at home: cedarwatch.news - Built from scratch a full guitar plugin that simulates using many and any combination of pedals (overdrive, chorus, reverb, distortion, etc.); amp and cabinet (using IRs). The little frontend also has a chat I hook up to any LLM; and provide it context and tools to change the setup for me. So if I say "make me sound like SRV on little wing" it figures out what pedals, amp, etc. to choose; and tunes the settings. Regretting all the money I've spent on neural DSP plugins lol (although these are still awesome). Let me know what y'all think. Open source. MIT licensed. Self-hosted. Nothing leaves your network. Website: https://marmy.ai GitHub: https://github.com/marmy-ai/marmy submitted by /u/tibnine [link] [comments]

Chorus by ZoomInfo captures and shares key conversation insights to better serve your customers, mitigate risk, and improve deal velocity — all at scale. Head over to @ZoomInfo to find out all that C

Chorus by ZoomInfo captures and shares key conversation insights to better serve your customers, mitigate risk, and improve deal velocity — all at scale. Head over to @ZoomInfo to find out all that Chorus by ZoomInfo has to offer.

#ICYMI ➡️ @trustradius has named Chorus a 2022 Top Rated Platform in not one, not two, not three, but FOUR categories: Sales Enablement, Sales Coaching, Call Recording, & Conversation Intelligence

#ICYMI ➡️ @trustradius has named Chorus a 2022 Top Rated Platform in not one, not two, not three, but FOUR categories: Sales Enablement, Sales Coaching, Call Recording, & Conversation Intelligence! Here’s how we’re changing the game for insight sales: https://t.co/MWZ4p406vw https://t.co/3vSmOpFZD6

IYKYK🥲 Nothing grows in the comfort zone, especially when it comes to your revenue goals. Stay ahead of the curve and prioritize high-value accounts with Momentum Signals: https://t.co/LAl2WwsHZ8

IYKYK🥲 Nothing grows in the comfort zone, especially when it comes to your revenue goals. Stay ahead of the curve and prioritize high-value accounts with Momentum Signals: https://t.co/LAl2WwsHZ8 #B2BSales #ConversationIntelligence https://t.co/6X0xGdhSnl

@Kazanjy Thank you! We'd like to think so too 😎

@Kazanjy Thank you! We'd like to think so too 😎

@Jason @JiminnyInc @justcall_io *cough cough*🙋 https://t.co/hy0Y4pSGtg

@Jason @JiminnyInc @justcall_io *cough cough*🙋 https://t.co/hy0Y4pSGtg

I'm not crying, you're crying 🥲 ICYMI @ZoomInfo’s best-in-class data is now delivered directly to the Chorus platform. See how this latest integration can help upgrade your team's deal forecasting ac

I'm not crying, you're crying 🥲 ICYMI @ZoomInfo’s best-in-class data is now delivered directly to the Chorus platform. See how this latest integration can help upgrade your team's deal forecasting accuracy & much more: https://t.co/gg1nZZiGxS #B2BSales #SalesHumor https://t.co/b8HSlI1GEh

A goal without a plan is just a wish (especially true when setting your revenue goals 🫣 🥅) Here are 10 tips high-growth B2B sales teams are using to keep their reps on track and consistently crush

A goal without a plan is just a wish (especially true when setting your revenue goals 🫣 🥅) Here are 10 tips high-growth B2B sales teams are using to keep their reps on track and consistently crushing quotas: https://t.co/DmsAqDQYTk https://t.co/khaAI51eaB

“I hope my email finds you well in these challenging times.” ❌ Your ideal customers are burnt out from seeing the same archaic prospecting emails. Here’s our formula for creating emails that will tu

“I hope my email finds you well in these challenging times.” ❌ Your ideal customers are burnt out from seeing the same archaic prospecting emails. Here’s our formula for creating emails that will turn your prospect pipeline into a conversion machine: https://t.co/qjGj3yVP3y https://t.co/qxRXjFk9WF

@unbounce To any sales teams looking for a conversation intelligence platform to help crush their quota and boost their deal forecasting *cough cough* 🙋 https://t.co/lZF2rk5vNq

@unbounce To any sales teams looking for a conversation intelligence platform to help crush their quota and boost their deal forecasting *cough cough* 🙋 https://t.co/lZF2rk5vNq

You’re an AE on a new sales team and find out they don’t really pay attention to NPS or LTV 🚩🚩🚩🚩 Here are 10 KPIs the fastest-growing companies are using to track sales data and analytics effec

You’re an AE on a new sales team and find out they don’t really pay attention to NPS or LTV 🚩🚩🚩🚩 Here are 10 KPIs the fastest-growing companies are using to track sales data and analytics effectively: https://t.co/1eZQ3RO2GK https://t.co/0XGN243bh8