Mahir Majid

[Mahir Majid @sunbubble3]

To influencers with 10k+ followers:

I’m building a tool that creates an accurate AI likeness of yourself for scaling your content, automating marketing videos, and streamlining brand sponsorships.

Would this be useful? Thoughts?

[Mahir Majid @sunbubble3]

@nazzari @speedrun Applied to Alpha! Would love to chat!

[mitsuri @0xmitsurii]

An AI expert predicts a 2027 shift that will impact every human on earth.

[Rexan Wong @rexan_wong]

if you're a founder looking for some BIG money - you're ngmi if you don't know these startup acceleratiors you can apply to rn:

- @sequoia arc ($1M)
- @openai converge ($1M equity investment)
- @hf0 residency ($1M uncapped for 5% or $500k uncapped + 3%)
- @speedrun by a16z ($750k–$1M for ~7–10%)
- @southpkcommons ($400k for 7% + $600k guaranteed follow-on)
- @neo ($600k via uncapped SAFE with $10M floor valuation)
- @betaworks AI Camp ($500k)
- @ycombinator ($500k for ~7%)
- @btv_vc's The Mint ($500k for 10%)
- @BoostVC (up to $500k for 15%)
- @GreylockVC's Edge (SAFE note + $500k+ in credits)
- APX (up to €500k, typically €50k for 5%)
- @AforeVC Capital ($100k–$500k)
- @join_ef (entrepreneurs first) ($250k for ~9%)
- @pearvc ($250k–$2M)
- @aigrant ($250k uncapped)
- @AntlerGlobal ($200k–$250k for 8–9%)
- @Techstars ($220k for ~5–7%)
- @SkyDeck_Cal (Berkeley SkyDeck) ($200k)
- @seedcamp (€100k–€200k for 7–7.5%)
- @conviction embed ($150k uncapped MFN SAFE)
- @joinodf founder fellowship ($150k for 5–10%)
- @LAUNCH incubator ($125k for 6–7%)
- @angelpad ($120k for 7%)
- @500GlobalVC ($112.5k for 6%)
- @Soma_Capital ($100k)
- @GoogleStartups (up to $100k)
- @StartupWiseGuys (up to €65k for equity)
- @AlchemistAcc (equity-based, B2B focus)
- @MassChallenge (non-dilutive up to $2M in prizes)
- @founding (equity-based, global program)

if you're funding in 2026 cash isn't the issue. picking the right people / groups to give you cash matters more

these are only VCs - don't forget there are grants where they give money to you for free and fellowships (you need founder aura)

bootstrapping is fine as well - software is getting cheaper, easier, and faster to build. you need cracked distribution

whatever path you take to build + scale your software company go get it!

[Noctara @rumilyrics]

Never quit something with great long term potential just because you can't deal with the stress of the moment.

[Z Fellows @zfellows]

.@naval's advice on what young people should work on if they want to get rich

[Mahir Majid @sunbubble3]

@felixhhaas Lovable Holiday

[Naruto @NarutoNolimits]

Larry Ellison : Being different is the only way to get ahead.

[Jay Yang @Jayyanginspires]

Sam Altman: "The biggest economic misunderstanding of my childhood was that people got rich from high salaries."

[Noctara @rumilyrics]

One of the most underrated skills you can learn is the ability to ignore your mood and stick with the plan.

[Beff (e/acc) @beffjezos]

You should aim to build tech so advanced most people think it's impossible.

[Dalton Caldwell @daltonc]

@aryavibecoding force yourself to work on an idea for long enough such that you dig in deep and learn something interesting/unexpected, otherwise you will keep pivoting and likely only learn shallow things

[Hubert Thieblot @hthieblot]

The only startup advice that actually matters:

Build something you give a shit about, with awesome people you genuinely enjoy.

You’re not surviving a 10-year journey without both.

[DAN KOE @thedankoe]

If you're bored, create something.

Anything.

Software. Designs. Photos. Videos. Writing. A business. A body. A relationship. A mind.

How can you not be excited to wake up when you have the ability to create.

[Mahir Majid @sunbubble3]

@jjuulliiaallii claude

[mitsuri @0xmitsurii]

12 things you need to know to become successful.

[Paul Graham @paulg]

@aviralbhat Actually those are all legitimate motivations. I started Viaweb very explicitly to make money, and that worked out well enough.

[Andrew Ng @AndrewYNg]

I recently received an email titled “An 18-year-old’s dilemma: Too late to contribute to AI?” Its author, who gave me permission to share this, is preparing for college. He is worried that by the time he graduates, AI will be so good there’s no meaningful work left for him to do to contribute to humanity, and he will just live on Universal Basic Income (UBI). I wrote back to reassure him that there will still be plenty of work he can do for decades hence, and encouraged him to work hard and learn to build with AI. But this conversation struck me as an example of how harmful hype about AI is.

Yes, AI is amazingly intelligent, and I’m thrilled to be using it every day to build things I couldn’t have built a year ago. At the same time, AI is still incredibly dumb, and I would not trust a frontier LLM by itself to prioritize my calendar, carry out resumé screening, or choose what to order for lunch — tasks that businesses routinely ask junior personnel to do.

Yes, we can build AI software to do these tasks. For example, after a lot of customization work, one of my teams now has a decent AI resumé screening assistant. But the point is it took a lot of customization.

Even though LLMs can handle a much more general set of tasks than previous iterations of AI technology, compared to what humans can do, they are still highly specialized. They’re much better at working with text than other modalities, still require lots of custom engineering to get it the right context for a particular application, and we have few tools — and only inefficient ones — for getting our systems to learn from feedback and repeated exposure to a specific task (such as screening resumés for a particular role).

AI has stark limitations, and despite rapid improvements, it will remain limited compared to humans for a long time.

AI is amazing, but it has unfortunately been hyped up to be even more amazing than it is. A pernicious aspect of hype is that it often contains an element of truth, but not to the degree of the hype. This makes it difficult for nontechnical people to discern where the truth really is. Modern AI is a general purpose technology that is enabling many applications, but AI that can do any intellectual tasks that a human can (a popular definition for AGI) is still decades away or longer. This nuanced message that AI is general, but not that general, often is lost in the noise of today's media environment.

Similarly, the progress of frontier models is amazing! But not so amazing that they’ll be able to do everything under the sun without a lot of customization. I know VC investors who are scared to invest in application-layer startups because they are worried that frontier AI model companies will quickly wipe out all of these businesses by improving their models. While some thin wrappers around LLMs no doubt will be replaced, there also remains a huge set of valuable applications that the current trajectory of progress of frontier models won’t displace for a long time.

Without accurate information about the current state of AI and how it is likely to progress, some young people will decide not to enter AI because think think AGI leaves them no meaningful role, or decide not to learn how to code because they fear AI will automate it — right when it is the best time ever to join our field.
Let us all keep working to get to a precise understanding of what’s actually possible, and keep building!

[Original text: https://t.co/OfxCVPGKoq ]

[Mahir Majid @sunbubble3]

@guilleflorvs FOUNDER

[Paul Graham @paulg]

It's easier to innovate when you're the original of something. People copying you can only copy a snapshot of your current state. They don't know which aspects of the snapshot are essential and which are random things you'd been about to change anyway.