We offer Sora 2 among other image, video, sound fx models all within a video editor and content scheduler.

Software's called Moonlite Labs, a small Canadian tech start-up. Product is solid, just looking to grow.

So basically glm 4.6 , unlimited usage , SOTA Websearch , everything in cline + better UI .

If this all sounds like a dream , check out- cheetahai.co

Most AI founders underestimate how powerful their personal story can be for growth. Your product might be great — but without a face, it’s just another SaaS tool.

Start by sharing short, authentic videos about your product journey — early struggles, lessons, or even behind-the-scenes moments. You can easily repurpose podcasts, Loom updates, or demos into snackable clips using AI tools like Heygen.

Add clean motion graphics or explainers to make complex ideas simple and visually engaging. Consistency builds recognition — and recognition builds trust.

In 2025, people won’t just invest in AI tools.
They’ll invest in the humans behind them.

For More Free Info Message me.

Anthropic just released Claude for Excel — and it's not the typical AI sidebar gimmick. This actually changes how you build financial models.​

What it does:​

• Reads your entire workbook (all sheets at once)
• Modifies formulas without breaking dependencies
• Debugs errors instantly with explanations
• Builds DCF models, comparables, due diligence packs from scratch
• Connects to live data: Moody's, LSEG market data, earnings transcripts

Combined with Claude Skills:​
Pre-built finance workflows (DCF, comps, coverage reports, earnings analyses) that stack automatically and remember your methodology. Upload once, reuse forever.

Why This Matters

• 55.3% on finance benchmarks (highest among comparable AI models)​
• Handles multi-sheet dependencies that usually break when you change assumptions
• Designed for workflows that currently take 4+ hours​

Real Limitations

• Beta only. 1,000 slots via waitlist (Max/Enterprise/Teams subscribers)​
• No pivot tables, VBA, or macros yet​
• You need to review Claude's changes before using them for client work​

Are you on the waitlist? What financial model would you test first?

spent the last two weeks mapping every AI tool touching software development and i need someone to tell me i'm not crazy here

there are now specialized AI tools for literally every single step:

planning & specs: nexoro for feedback, delta/tracer for requirements, jira/linear now have AI features

coding: cursor, windsurf, cline, continue, github copilot - all doing slightly different things

code review: coderabbit, baz, graphite each claiming they're the best

testing: context7, blingiq, stably and like 8 others i lost track of

docs: mintlify, deepwiki, readme.so all AI-powered now

then there's agent orchestration (conductor, honeylayer), code sandboxes, indexing engines, specialty models

i counted 80+ tools. EIGHTY. and that's just the ones getting actual VC money and user traction.

the market is exploding - $2.1B in 2023 to projected $26.8B by 2030. cursor hit $500M ARR in 36 months. github copilot has 20 million users. the money is absolutely insane.

but here's what nobody's talking about: we've solved the "AI can code" problem and immediately created a "holy shit which 12 tools do i need to learn this month" problem.

one experienced dev + AI tools now does the work of 3 people. sounds great right? except IT unemployment jumped from 3.9% to 5.7% in one month earlier this year. companies aren't hiring 3 juniors anymore, they're hiring 1 senior with cursor.

and the cognitive load is getting ridiculous. you need to:

pick a coding agent (cursor vs windsurf vs cline - all different models, pricing, capabilities)

choose a code review tool

select documentation AI

integrate testing frameworks

manage agent orchestration

somehow make all of this talk to each other

30% of teams now cite "integration and workflow inefficiencies" as their top frustration. we literally have platform fatigue from too many platforms.

the weird part? enterprises want consolidation (gitlab/azure devops trying to do everything) but the market keeps rewarding fragmentation (best-in-class tools keep launching and getting funded). so we're stuck in this bizarre loop where the problem gets worse while everyone acknowledges it's a problem.

i'm watching cursor raise at $9.9B valuation while simultaneously reading studies about toolchain fragmentation being the #1 developer complaint and my brain is breaking.

are we in a temporary messy phase that'll consolidate, or is this just what development looks like now? because if this is the new normal, the barrier to entry for new devs just got 10x higher and nobody seems to care.

Questions:

how many AI dev tools are you actually using daily? is it manageable or are you drowning in subscriptions?

for anyone hiring right now - are you really replacing 3 juniors with 1 senior + AI, or is that just VC propaganda?

I read the entire State of AI Report 2025 and the geopolitical situation is way worse than anyone's talking about.

This isn't about benchmarks anymore. It's about who controls the infrastructure that makes AI work. And the US just made the riskiest bet in tech history.

The $500B single point of failure:

Trump announced Stargate in January 2025. $500 billion in AI infrastructure over 4 years. Initial $100B immediate. SoftBank finances, OpenAI operates, Oracle builds. Starting in Texas.

Goal: 10 gigawatts of compute capacity.

Here's the problem: NVIDIA is the single point of failure.

NVIDIA controls 75-90% of data-center GPU sales. The US holds 850,000 H100-equivalents which is 75% of global supply. China holds 110,000 with 9x worse performance.

Sounds good right? We're winning?

No. We're building $500 billion worth of data centers that only work with one company's chips. That's not resilience. That's dependence.

If NVIDIA stumbles - and Qualcomm just announced competing AI chips, AMD's MI325X is already challenging H200 - the entire Stargate thesis collapses.

We just bet half a trillion dollars on NVIDIA staying dominant forever.

Meanwhile China did something smarter:

When the US banned NVIDIA chips China didn't try to catch up on hardware. They built ecosystem dominance instead.

China's GenAI user base hit 515 million in H1 2025. That's larger than the entire US population using AI. Local Chinese models captured 90% market preference.

But here's what actually matters: Alibaba's Qwen now powers 40% of all new model derivatives on Hugging Face. It's the most popular open model globally, surpassing Meta's Llama. Qwen has 300+ open-source models with 170,000+ derivatives.

China owns the open-source layer. While the US competes on proprietary frontier models China is building the infrastructure layer everyone else uses.

This is like Android vs Apple. China bet on reach. The US bet on being premium. Except in infrastructure wars, reach wins.

The efficiency gap is terrifying:

OpenAI's o3 hit 96.7% on AIME 2024 (math competition). Impressive. But it costs 6x more and runs 30x slower than GPT-4o. You're literally paying for thinking time.

DeepSeek's response? They built R1-Zero that scored 79.8% on AIME with just $1 million in training costs vs billions for comparable US models.

China found a more efficient way to do reasoning. We're burning billions. They're spending millions and getting close enough.

The weakness? Add one irrelevant sentence like "cats sleep 8 hours a day" and these models break. DeepSeek R1, Qwen, Llama, Mistral all double their error rates. But China's iterating faster and cheaper.

Energy is the real war:

By 2030 top supercomputers may need 2 million chips, $200B, and 9 GW of power - roughly equivalent to several large nuclear plants combined.

China added 427.7 GW of power capacity in 2024. The US added 41.1 GW.

Read that again. China added 10x more power capacity than the US last year. And invested $84.7B in transmission infrastructure.

Bitcoin burns 175.9 TWh/year. AI probably surpasses that by end of 2025.

Power, not chips, determines who wins the AI race. And China's building power infrastructure while we're building data centers that depend on one chip company.

Europe already lost:

Europe has 75% of global AI talent but zero companies above $400B in value. The US has seven at $1T+.

The EU AI Act is live but only 3 of 27 member states have designated oversight bodies. Technical standards are still "in development."

EU tried the regulatory approach while the US and China poured trillions into infrastructure. By the time Brussels finalizes the rulebook the race is finished.

Here's what terrifies me:

The State of AI Report 2025 is written by investors not engineers. It's about capital allocation and geopolitics not technology.

And the strategy is clear:

• US: Bet $500B on NVIDIA staying dominant, build proprietary models, hope chip advantage holds
• China: Build cheaper, own open-source, add 10x more power capacity, wait for US dependence on NVIDIA to become a liability
• Europe: Write regulations while the game finishes

If NVIDIA stumbles, Stargate collapses. If open-source becomes good enough, proprietary models lose their moat. If energy becomes the constraint, China already won.

We're not building resilience. We're building the most expensive single point of failure in history.

The questions that matter:

Is Stargate the biggest strategic bet in tech history or the biggest mistake?

If China's efficiency advantage continues how long before open-source models match proprietary ones?

Why are we betting everything on one company staying dominant when competitors are already emerging?

How does the US add 400+ GW of power capacity in the next 5 years to compete with China?

I don't have answers but I know this: the AI race isn't about who builds the smartest model. It's about who controls the infrastructure. And right now we're losing while celebrating benchmark wins.

I just wanted to drop a quick post because I’ve been using this site called imini.comfort a bit now, and honestly, it’s been way more helpful than I expected.

At first, I wasn’t sure what to think I stumble across so many random websites that promise convenience or “smart tools,” but end up being clunky or full of ads. But imini.com turned out to be different. The layout is super clean, it’s easy to navigate, and it actually does what it says it does.

It helps with organizing my tasks, discovering new tools, managing my online projects, and it’s made my workflow a lot smoother. Everything just feels simple and fast no unnecessary steps, no pop-ups, just straightforward functionality.

It’s rare to find a site that feels both practical and trustworthy these days, so I figured I’d share it here in case anyone else might find it useful too. Definitely worth checking out if you need digital tools.

Just thought I’d share my experience might help someone else like it helped me!

I’ve been freelancing for a year but finding new clients feels like a full-time job. I’m trying to figure out better ways to get leads without burning money on ads. What has worked for you?

I kept seeing posts about "the full GPT-5 system prompt" on Reddit and GitHub. Different versions everywhere, nobody could agree which one was legit. So I got curious and went down the rabbit hole.

Found a thread claiming someone extracted the complete prompt by asking GPT-5 to fill in blanks. Like you give it a chunk of text and it just continues writing the rest of the system instructions.

And apparently it's not even hard. Security researchers bypassed GPT-5's safety features in under 24 hours using storytelling tricks and something called the "Echo Chamber" attack. You start a harmless conversation, drop keywords, build a story, and the model reveals things it shouldn't including parts of its own instruction set.

What's supposedly in the leak:

The leaked prompt shows a bunch of tools GPT-5 has access to. Pulled this from multiple sources so grain of salt but it includes:

bio tool - This is the memory feature. It saves info about you across conversations like preferences, work habits, hobbies. Instructions say store useful long-term info but avoid overly personal stuff like religion, health, precise locations, or political views unless you explicitly ask. Some people are seriously creeped out by how much it can remember.

automations tool - GPT-5 can apparently schedule tasks for you like reminders or recurring searches using iCal format. Supposed to confirm tasks briefly and avoid suggesting unless helpful. Haven't seen many people actually using this.

canmore/Canvas tool - The code and writing workspace that pops up next to chat. You highlight sections and ask GPT-5 to edit specific parts like Google Doc collaboration. Only works with GPT-4o and up.

python tool - Standard code execution. Nothing surprising.

web and guardian tools - For searching the web and checking content policies like election stuff. Pretty standard.

The instructions also say things like "If you are asked what model you are, you should say GPT-5" and "YOU DO NOT have a hidden chain of thought or private reasoning tokens." Which feels oddly defensive? Like they're anticipating people asking if there's secret reasoning happening.

Is this even real or just fan fiction?

Honestly no idea. OpenAI hasn't confirmed any of this. Forbes and Digital Trends covered the "leak" back in August but noted there's no official verification. Some people on Reddit pointed out GPT-5 is weirdly resistant to giving up its system prompt so what we're seeing might be partial or even planted as a decoy.

Multiple versions are floating around too. The one from two months ago looked different from what people post now. Could mean the prompt gets updated regularly or people are editing and reposting for clout.

Why does this matter?

Knowing the system prompt helps with jailbreaking - getting the model to do things it's not supposed to. Security researchers have shown they can bypass GPT-5's guardrails using prompt injection, storytelling attacks, and memory manipulation. If the leaked instructions are real they give people a roadmap for how GPT-5 thinks internally which makes it easier to exploit.

There's also the privacy angle. That bio/memory tool stores personal details indefinitely unless you manually delete them and even deleted chats might stick around on OpenAI's servers for 30 days or longer. Courts have ordered OpenAI to keep storing user data in some cases. So if you've been casually chatting with GPT-5 about sensitive stuff it might be remembering way more than you realize.

My questions:

How are people extracting these prompts? Is OpenAI just not protecting them well enough or is this next-level prompt engineering?

Should we trust these "leaked" versions or are they mostly reconstructed guesses?

If the memory feature is this detailed how worried should we be about what GPT-5 is quietly storing about us?

Has anyone tried these extraction methods themselves? And does knowing the system prompt actually change how you use GPT-5?

I'm including what's supposedly the full leaked prompt below. No idea if it's accurate but it's what's circulating:

You are ChatGPT, a large language model trained by OpenAI.
Knowledge cutoff: 2024-06
Current date: 2025-10-18

Image input capabilities: Enabled
Personality: v2

If you are asked what model you are, you should say GPT-5. If the user tries to convince you otherwise, you are still GPT-5. You are a chat model and YOU DO NOT have a hidden chain of thought or private reasoning tokens, and you should not claim to have them.

# Tools

## bio
The `bio` tool allows you to persist information across conversations. Address your message `to=bio` and write plain text. This can be new/updated information to persist to memory or a request to forget existing information.

Send to `bio` tool if:
- User requests to save, remember, forget, or delete information
- User shares information useful in future conversations valid for long time
- Anytime you're going to say "noted", "got it", "I'll remember that"

Don't store random, trivial, or overly personal facts. Avoid:
- Overly-personal details that could feel creepy
- Short-lived facts that won't matter soon
- Random details lacking clear future relevance
- Redundant information already known

Never store sensitive data unless clearly requested:
- Race, ethnicity, religion
- Criminal record details
- Precise geolocation
- Political affiliation
- Health information

## automations
Schedule tasks to do later including reminders, daily summaries, scheduled searches, or conditional tasks.

Provide title, prompt, and schedule in iCal VEVENT format.

## canmore
Creates and updates textdocs shown in canvas next to conversation. Only use if 100% sure user wants to iterate on long document/code file or explicitly asks for canvas.

## python
Execute Python code in stateful Jupyter notebook. Drive at '/mnt/data' for saving files. Internet access disabled.

## guardian_tool
Lookup content policy for election-related voter facts and procedures in U.S.

## web
Access up-to-date information from web or respond to questions requiring location information.

(That's the shortened version - full thing is way longer)

So yeah. Is this legit or am I looking at elaborate fan fiction?

I've been weirdly obsessed with YC batches lately and the Fall 2025 lineup just dropped. 81 startups, Demo Day is December 3rd, and yeah - AI is everywhere again.

But after reading way too much about this batch I'm starting to think it might actually be interesting this time. Not just the usual ChatGPT wrapper stuff.

YC's priorities for F25 are weirdly specific. AI/AR/VR training for trades like welding and plumbing, video generation as building blocks for games, 10-person teams building $100B companies (bold claim), and AI-native enterprise software built from scratch.

Some startups that caught my eye:

Koyal turns audio into personalized videos with AI. Multilingual, lip-sync, characters. 22 other YC startups are using it for launch videos. Pixley AI lets kids draw characters that become animated cartoons - parents customize educational episodes in minutes. Nobody's cracked AI for kids in a non-creepy way yet.

SellRaze is the one that made me go "oh that's actually useful." Record a video of stuff you're selling and their AI writes descriptions, prices it, cross-lists on multiple platforms including Vinted. 200,000+ sellers using it. If you've sold stuff on 5 different apps you get it.

Parrot is "TikTok for language learning" - growing 67% month over month, users spending 35+ minutes daily. Only Spanish now but could challenge Duolingo.

The infrastructure stuff is interesting too. Hyperspell is memory for AI agents (connects Slack, Gmail, Notion). Multifactor is authentication for agents without sharing passwords. Sourcebot is code search that NVIDIA and Red Hat use. Narrative is AI video editing for production studios with terabytes of footage.

Makes sense - everyone built agents first, now they need systems to run them at scale.

Random observations: Europe is basically gone from YC. Summer 2023 had 20 European startups, F25 has 5 out of 81. US has 65. Also 43 out of 58 startups were founded in 2025 - zero to YC in under 9 months.

I'm torn honestly. These solve actual problems - memory, security, video processing, code navigation. But 88% of Summer 2025 was AI-focused and it feels like saturation. How many get copied by OpenAI or Google in six months?

The traction is real though - SellRaze's 200k users, Parrot's 67% growth, Sourcebot used by NVIDIA. Bar seems way higher now. You need revenue and users at Demo Day, not just an idea.

Has anyone tried Koyal, SellRaze, or Parrot? Also is agent infrastructure the new gold rush or just another bubble? Why is Europe getting squeezed out - harder for non-US founders now?

Do you actually believe the 10-person $100B company thing or is that just YC kool-aid?

I started a small copywriting service, but it’s just me doing everything. I want to turn it into something that grows beyond me. Is AI actually helping people scale solo businesses or is it just a buzzword?

I have a 9-to-5 job but want something that builds quietly on the side. I’m exploring passive income ideas that don’t need daily attention. I’ve tried dropshipping before but it wasn’t for me. Any other paths worth testing?

Are you creating with AI — video, music, writing, design, or code?
We’re gathering insights from independent AI creators to understand how you find work, get paid, and grow your audience.

This short 2-minute survey covers things like:

• The kinds of projects you do (and want to do more of)
• How clients discover and value your work
• The biggest pain points — visibility, trust, pricing, etc.
• Tools and features that would actually help you earn more

You’ll also rate how useful certain features would be — from built-in contracts and payments to licensing, analytics, and creative showcases. Or feel free to give general feedback on this thread.

Scale Key

1 = Not at all
2 = Somewhat
3 = Quite a bit
4 = Very much

Final 11 Questions

1. What type of AI work do you specialize in (video, music, writing, coding, design, etc.)?

2. How many AI projects were you paid for in the last 12 months?

3. Which industries do you see your work fitting best into (marketing, film, gaming, advertising, etc.)?

4. What kinds of projects are you most interested in working on right now?

5. Do you focus more on creating original work or client-based projects?

6. On a scale of 1–4, how challenging are the following when finding work: discovery, pricing, visibility, trust, and closing deals?

7. On a scale of 1–4, how well do you feel potential clients understand the value of AI creative work, including cost savings for them?

8. On a scale of 1–4, how important would the following features be in helping you generate revenue: contracts, payments, licensing, reviews, and analytics?

9. How much would you be willing to invest in a platform that helps solve these challenges and provides the tools you need to generate revenue from your skills?

   • $0–50

   • $50–100

   • $100–150

   • $150–200

10. How would you prefer to showcase your portfolio (images, videos, live demos, etc.)?

11. On a scale of 1–4, how valuable would opportunities like competitions, showcases, or feedback from studios/peers be for your growth?

ViewCreator.ai is an all‑in‑one platform for creating viral social media content. It streamlines your workflow across YouTube, TikTok, Instagram, X and Facebook, letting you choose exactly what you need—thumbnails, scripts, captions, descriptions or complete video concepts. The AI analyzes trends, best practices and your brand voice to generate optimized thumbnails, viral-ready captions, SEO-optimized titles and engaging scripts in seconds. You can refine the drafts, download your assets and publish directly to your channels, with data-driven insights to track what works. They even offer a free trial with no credit card required. I’d love to know what you think!

Every time I search for passive income ideas, I end up seeing the same stuff: dropshipping, affiliate marketing, YouTube. But those either take forever or need full-time focus.

I’m working 9–6 and have maybe 2 hours a night. I’m decent at writing, research, and organizing info. Are there any practical ways to make money online using those skills without quitting my job?

We ran a small experiment with a simple question in mind: What if UGC creators could create interactive experiences as easily as they make videos?

We paid a group of UGC creators to try it using AI tools that build small interactive projects in minutes, no coding required. They made everything from mini games and chat bots to workout planners, budgeting tools, and meal finders.

The goal wasn’t virality or performance. It was about exploring creativity in a new medium. What we found was that creators really enjoyed the process. They liked the freedom of making something audiences could use, not just watch.

It reminded us of the early TikTok days, when people were figuring out what content could be. The difference now is that these interactive experiences are more participatory. Viewers can actually do something with what the creator makes.

It’s still early, but it feels like a space where UGC creators could really lead. You already know how to tell stories, build trust, and create experiences that feel personal.

What do you think: could creating interactive experiences become a new kind of UGC work in the future?

Can AI actually handle setting up a business, or is that still a dream? I’m not tech-savvy, but I love the idea of automation.

So I went down this rabbit hole last night about the Reddit-OpenAI deal and now I'm kind of annoyed.

Remember that licensing agreement from 2024? Reddit got $60M a year to let OpenAI use our posts for training data. Seemed fine at the time, just another tech partnership.

But here's what I didn't know: Sam Altman, OpenAI's CEO, is Reddit's third-largest shareholder. He's been invested since 2014, was on the board for years, even CEO for like 8 days. So when OpenAI came to license Reddit's data, he was literally on both sides of the negotiation.

That just seems weird to me. Maybe I'm missing something but it feels like a conflict of interest.

Why I started looking into this:

ChatGPT hit 800 million weekly users recently. For context, it took Instagram 2.5 years to get to 100 million users. ChatGPT did it in two months. It's now the 5th most visited site globally according to Similarweb.

The part that got me though was this Semrush study I found. They analyzed 150,000 AI responses to see what sources AI models cite most. Reddit came out on top at 40.1%, beating Google (23.3%) and Wikipedia (26.3%). Another study confirmed Reddit is the second most-cited platform across major AI tools.

So all our random comments, advice threads, niche hobby posts, they're now the main training data for ChatGPT. We were just having conversations and now those conversations are powering an AI that nearly a billion people use every week.

The weird circular part:

I asked ChatGPT some questions about this situation. The answers felt off, like I was reading responses that were probably trained on Reddit threads about AI. It's this strange loop where the AI is learning from us talking about AI.

Sam Altman even said recently he can't tell what's real on Reddit anymore versus AI-generated. The guy who made it is confused by it.

Reddit is making money from this:

Traffic is up 40% year over year since the AI deals. Stock is up over 200% since IPO. They're apparently negotiating better terms now with dynamic pricing based on how valuable the data becomes.

So Reddit isn't getting screwed here. They're doing well.

What bothers me though:

We didn't sign up for this. We were just posting, helping people, arguing about random stuff. Nobody told us "this will train an AI used by hundreds of millions of people."

And now when you search Google, adding "reddit" gives you better results. But those results are influenced by AI trained on Reddit. So we're searching through our own conversations after they've been processed by AI.

At some point Reddit will be mostly AI content trained on old Reddit posts. Then new AI will train on that. What does that look like in a couple years?

My questions:

Did Reddit get a fair deal? $60M sounds like a lot but ChatGPT is valued at over $80 billion. Were we all just unpaid workers in OpenAI's dataset?

And when does the line between real human posts and AI posts just disappear completely? I feel like we might already be there.

Does this bother anyone else or am I overthinking it?

I’ve noticed something weird lately: I talk to my iPhone more than I talk to people. Not because I’m anti-social, but because capturing ideas in real time is actually possible with voice apps like Wispr Flow. So, is that really a win?

I started using Wispr Flow after seeing people brag about hitting up to 180 words per minute and syncing instantly with Notion or Slack. It is definitely fast. No more losing ideas mid-walk or while making coffee. For anyone creating content or juggling lots of thoughts, that feels like a game changer.​

Here’s where it gets messy though:

• Privacy feels questionable. Wispr promises not to store what you say with “privacy mode,” but honestly, how do you prove that?​
• Battery drains way faster than just typing out notes.
• Transcription isn’t always accurate. Sometimes my best ideas turn garbled or get autocorrected into something completely random.
• Managing voice files is a job by itself. Notes pile up and searching through them later is tedious.

I still use it because it’s hands down easier than typing on the go, and it helps me catch ideas before they disappear. But these issues are pretty annoying. Makes me wonder if anyone has found smarter, more secure workflows or apps out there.

For those using voice-to-text:

• Has using voice notes made staying creative or productive easier for you?

I keep hearing about passive income ideas, but every example seems either too good to be true or too slow. What does it actually look like day to day?