Jonah Lau
128 posts


We're simplifying Windsurf pricing across Free, Pro, and Teams alongside launching a new Max plan for our power users.
The new plans replace credits with industry-standard daily and weekly quotas.
For the majority of users, this will be enough to fully cover all agent usage.
If you’re a paying subscriber, your price isn't changing, and we're including a free extra week to try the new system before you commit.
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@vivian39_ Either way you won’t have the ports blowout like on the max
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Jonah Lau retweetledi

🔴10. Jaice Dore
- 14, LW/RW/CAM
- Adingra
- Jamal Musiala
Already has a Nike deal at 14, he has scary potential and can be whatever he wants. At this point, he’s an untouchable dribbler with electric pace but he seems destined for the fast track🩸#MUFC
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I just released a NEW BREAKDOWN for anyone trying to sell AI to INSURANCE INDUSTRIES
This niche is exploding right now.
Inside, you’ll see:
- why insurance companies are suddenly scrambling for AI upgrades
- the exact workflows they’re begging to get fixed
- how to position your offer so you don’t need to be technical at all
- the use cases that get instant “yes, we need this” responses
- how to stand out
If you want to land insurance clients, this is the clearest shortcut you’ll find.
Comment “919” and I’ll send you the full walkthrough.
(must be following for DM)

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Nano Banana + Veo 3 + n8n is absolutely WILD 🤯
This AI system creates UGC videos with consistent characters & product shots at scale.
And auto-stitches everything together into finished content.
Perfect for e-comm operators & creative agencies who need brand consistency.
Just upload ONE product image and get complete UGC campaigns with the same character across all videos.
Here's how it works:
→ Upload product image via n8n form
→ AI analyzes your product automatically
→ Nano Banana generates consistent character variations
→ Veo 3 creates multiple video scenes with same talent
→ Auto-combines all clips into final campaign video
→ Ready-to-download UGC content in minutes
Built 100% in n8n.
Fully automated character consistency.
Want the complete n8n workflow?
Comment "BANANA" + like and I'll send it over (must be following so I can DM)
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Last Month = $134,750 in sales
Last Week = $53,970
Today = $3,512 (and climbing)
All powered by AI-generated UGC ads.
And every single one came from a single system…
My Linah AI Content Agent.
Not just a tool a full creative department compressed into software.
Here’s what it does:
Produces endless TikTok & Meta-style UGC videos
Auto-generates creative briefs in seconds
Writes hooks, CTAs & captions that convert
Builds ready-to-shoot scripts for every platform
Auto-schedules & uploads content
Translates ads for global audiences
The output?
800+ video ads per month fully automated.
No actors.
No editors.
No freelancers.
No delays.
One input → Linah runs everything else.
It strategizes. It executes. It scales.
We just opened early access to the Linah AI Agent free for the next 48 hours.
Here’s what’s inside:
UGC Ad Generator
Creative Brief Builder
Hook & CTA Writer
Multi-Platform Script Engine
Auto-Uploader
Language Localizer
No overpriced agencies. No bottlenecks. Just 24/7 AI.
Want in?
RT + Comment “LINAH” and I’ll send the setup.
(must be following)

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Nano banana + Linah AI + n8n = Ad Factory
This system pumps out TikTok/FB/Insta video ads on autopilot using the latest AI video models.
- No actors.
- No editors.
- No overpriced agencies.
Just endless, scroll-stopping UGC-style ads at scale.
Perfect for e-com brands & growth agencies who need constant creative testing.
Here’s how it works:
→ Drop your product catalog into Airtable
→ n8n pulls product data + hooks
→ Linah AI generates video variations (hooks, demos, product-in-hand)
→ Auto-styles each ad for platform-specific virality
→ Airtable logs everything so you can track winners
24/7 production.
Pennies per video.
You own 100% of the assets.
Want the full template?
Comment “NANO” + like this post, and I’ll DM it to you.
(must be following)

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Jonah Lau retweetledi

We raised $60M for this moment: Introducing Slash Global USD (in partnership w/ @base).
It's the first banking platform that lets you open a USD account without an LLC, EIN, or the rampant account closures they call "account safety".
It took major legislative changes AND 3 years to pull this off.
Here's what makes it so different:
1. Banking without an LLC. Before Slash: You needed a LLC, $1K in fees, a virtual address, and a U.S. tax ID. With Slash you get a real U.S. account & routing number in ~10 minutes with your foreign documents.
2. No more hefty fees. PayPal charges a 3-4% conversion fee. We let you receive USD and crypto (USDC) with NO fees. Not enough? We pay you up to 4.5% cash rewards just for holding your money with us.
3. Account freezes. The big guys love flagging success as “fraud”. We're built for fast moving founders. We'll never wrongfully freeze your funds. I'm putting my money where my mouth is: If we do, I'll wire $10K to a charity of your choice.
------------------------------
In 2021, I dropped out of the number 1 school in America as a Venezuelan immigrant to build Slash. I pivoted the business 2x before getting our first customer.
Today:
- 3,000 businesses use @slashapp
- We bought the domain Slash . com for $1M
- $4B is spent on our credit cards every year
And we just raised $41M from the people who built fintech: @MenloVentures @NEA @ycombinator @goodwatercap
--------------------------------
To celebrate this launch, we're giving away our internal AI finance Agent free.
It watches your bank accounts 24/7. Flags double charges. Cancels forgotten subscriptions.
It saved us $39,000 last month.
You don’t need a Slash account. It works with any bank.
Retweet + comment “Slash” and I’ll send you a free access link.
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@CharlesPattson Just looking at it gives me motion sickness... I sure hope it can be turned off.
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This is interesting as a first large diffusion-based LLM.
Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to right, but all at once. You start with noise and gradually denoise into a token stream.
Most of the image / video generation AI tools actually work this way and use Diffusion, not Autoregression. It's only text (and sometimes audio!) that have resisted. So it's been a bit of a mystery to me and many others why, for some reason, text prefers Autoregression, but images/videos prefer Diffusion. This turns out to be a fairly deep rabbit hole that has to do with the distribution of information and noise and our own perception of them, in these domains. If you look close enough, a lot of interesting connections emerge between the two as well.
All that to say that this model has the potential to be different, and possibly showcase new, unique psychology, or new strengths and weaknesses. I encourage people to try it out!
Inception@_inception_ai
We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.
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@ArosliWealth Is there any true Islamic financing product in Malaysia or are they all just wrappers around conventional financing products? IYKYK...
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Since there is a debate between a takaful agent and a banker in the "islamicity" of islamic banking, let me break down what these two are fighting for those yang maybe tak berapa faham.
Let's ignore the takaful agent's ignorance for now.
Jom baca
Safdar Alam@SafdarAlam
I understand both conventional banks and Islamic banks. Better than you. And yes. They are the same. Both profit from Riba.
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@AISafetyMemes I certainly think it is producing text that looks indistinguishable from true reasoning, but I'd not be surprised if after the yapping it *still* fails to complete the damn proof / fix the damn bug, in a way that'd feel almost like trolling at this point 😅
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Using r1 and reading its thoughts was so fucking eye opening. I can also see how I was using o1 wrong, expecting well-formatted code like Sonnet, it is not what it is for, nor what it is going to do best, yet I could probably query it in different ways to get what I want, that's so clear now
Also, honestly, now I get a strong sense of "how is this tech not leading to AGI"? What could this kind of tech not build? Only what doesn't fit is context size? It is certainly beyond the point where I'm smart enough to see its flaws. Am I getting used to talking to an alien so fast? 1 year ago me would be in shock by this very conversation
I feel kinda irrelevant? But also kinda relieved and hopeful
OpenAI deserves all credit figuring this out, just to be clear
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