Harsh Mehta

🚀 SaaS Enthusiast | 🤖 AI Advocate | 📜 Life Quote Collector | 🌟 Making tech simple and life meaningful | 🗣 Sharing insights on innovation & automation

[Kushan Mitra @kushanmitra]

This is the trait of a good predator; pure energy conservation but a deadly strike.

[Will Ahmed @willahmed]

You have no experience.
You’ve never started a company.
You’ve never had a full time job.
Nike is going to kill you.
You’re a kid.
You don’t have technical skills.
You shouldn’t build hardware.
Apple is going to kill you.
You can’t build hardware.
You can’t measure heart rate non-invasively.
Athletes don’t care about recovery.
Under Armour is going to kill you.
It won’t be accurate.
You don’t listen.
You’re an ineffective leader.
You can’t recruit great talent.
You’re going to have to pay every athlete.
You can’t measure sleep non-invasively.
It’s too expensive to research.
Athletes are a small market.
The product costs too much to make.
The product costs too much to sell.
Your valuation is too high.
Consumers aren’t going to want it.
Hardware is too hard.
You should measure steps.
Fitbit is going to kill you.
You can’t build a marketing engine.
You can’t raise enough money.
You need a real CEO.
Google is going to kill you.
You can’t be a subscription.
You can’t build a brand.
You can’t do consumer in Boston.
Your valuation is too high.
You shouldn’t make accessories.
You shouldn’t make apparel.
Lululemon is going to kill you.
You can’t predict Covid.
Stay in your niche.
You are going to run out of money.
You can’t build a health platform.
Amazon is going to kill you.
You can’t measure blood pressure.
You can’t get medical approvals.
The market is too small.
You don’t understand AI.
The market is too competitive.
It won’t work internationally.
The supply chain is too complicated.
You can’t build an AI.
You can’t raise enough money.
It’s too competitive.
Healthcare isn’t going to want it.
…

Just keep going ✌️

[Aakrit Vaish @aakrit]

Ever since we started building Activate, I knew we would eventually launch a podcast.

But it couldn’t be just another VC show. While there is tremendous energy around AI in India today, there isn’t yet a clear, consistent platform bringing together founders, capital, research & policy in one conversation.

So today, we’re launching Signal Dialogues.

For our very first episode, I couldn’t have dreamt of a better setting: a legend, India's AI poster boy, an iconic venue, and at the country's most defining AI moment.

Privilege to have none other than @vkhosla together with @mukundjha, co-founder of @emergentlabs, one of the world's fastest ever software companies to hit $100M ARR, on the sidelines of the @OfficialINDIAai Impact Summit at @iitdelhi.

#DontStop 🚀

[Harsh Mehta @harsh22]

@dbabbs @tryprofound @lightspeedvp @sequoia @kleinerperkins @MattEvantic @Saga_Ventures @southpkcommons Agent

[Jack Altman @jaltma]

New episode of Uncapped with @levie!

(0:10) Why he’s so excited about AI
(6:50) Startups vs. incumbents
(15:04) Pricing AI agents
(17:42) Is AI over or under hyped
(19:17) Being first to cloud
(24:55) Staying motivated
(28:29) Political landscape

[Robert Sterling @RobertMSterling]

Joe Rogan won’t have Kamala Harris on his show unless she comes to his studio and sits for a 2-3 hour full interview (like Trump did).

We’ve entered the era in which podcast hosts have more power than a sitting vice president. Thanks to a free and uncensored internet, the democratization of media and news reporting has finally been realized, decades after online pioneers first dreamed of the possibility.

This is why establishment politicians and regime journalists are so afraid of podcasts and social media, and why they will continue to aggressively push for regulation.

A college dropout who started his career hosting “Fear Factor” and working as a UFC commentator is able to dictate terms to a vice president, former senator, and former attorney general of the largest state in America. The presidential election is in one week, and she needs him—and his audience—far more than he needs her.

You’ve gotta love seeing it.

[Aakrit Vaish @aakrit]

Building AI for India, with Jensen Huang! 🙂🙌🏻🇮🇳

[Kunal Shah @kunalb11]

@shreyas

[Harsh Mehta @harsh22]

@GasperCrepinsek IDEA

[miten sampat @miten]

China is now the world leader in coffee shops https://t.co/57OP28wdBV from @TheEconomist

the scale of consumption growth in Asia will continue to surprise the rest of the world for the next two decades.

[Everyday AI Lab @EverydayAILabs]

AI is the new offshoring. 🤖 Companies are using AI to replace or augment roles, cutting costs but facing ethical challenges.

How should businesses balance efficiency with workforce impacts? 🌐

#AI #FutureOfWork

[Everyday AI Lab @EverydayAILabs]

🚀 Spotify steps up its ad game with Creative Lab, an in-house creative agency! They're testing generative AI for voiceover ads and launching "Quick Audio" AI tool for scripts soon.

How will AI reshape marketing campaigns? 🤔

#AI #MarketingExperts ##4:3†source】

[Sandeep Dikshit @_SandeepDikshit]

While our political differences remain, it is very graceful of the Prime Minister @narendramodi to remember Sheila ji and her contribution.
My Mother and PM were fellow Chief Ministers for 12 years and often interacted at various forums. Such courtesy is essential in public life.

[Swapan Rajdev @SRajdev]

GPT-4o marks a fundamental shift in the way we build voice applications. Traditionally, the voice application pipeline looked like this: Speech-to-Text -> Models on text -> Text-to-Speech. This approach often struggled with accuracy and latency, impacting the overall user experience.

But with GPT-4o's ability to reason in text, vision, and audio, we're seeing a 10x improvement in many use cases that previously faced challenges. Here are some game-changing applications:

- Call Center Automation: This long-sought-after use case now receives an exponential boost, making interactions more efficient and truly delivering on the promise.

- AI Companions: Expect a surge in the adoption of AI companions, whether they be girlfriends, boyfriends, or therapists, etc.

- Learning Apps: While many learning apps have gained traction, few have truly delivered on their promise. With GPT-4o, I genuinely believe education and learning will undergo a transformative evolution.

Get ready for a new era of voice and video applications! 🌟

[Sahil Gandhi @gandhisahil]

Will be following this thread.

I have given up after trying for three years. Any leads to this question would be appreciated to anyone in the UK looking for Schengen Visa

[Harsh Mehta @harsh22]

@asanwal @satya1286

[Harsh Mehta @harsh22]

@ravihanda @SweetishHMafia

[Aakrit Vaish @aakrit]

If you are trying to build an AI startup from India for the world, stop.

Move to SF.

Then start.

[Aakrit Vaish @aakrit]

All 4 Mumbai born and headquartered.

For all the noise around which is the "tech" capital of India :)

@mumbai_tech_

[Josh Whiton @joshwhiton]

The AI Mirror Test

The "mirror test" is a classic test used to gauge whether animals are self-aware. I devised a version of it to test for self-awareness in multimodal AI. 4 of 5 AI that I tested passed, exhibiting apparent self-awareness as the test unfolded.

In the classic mirror test, animals are marked and then presented with a mirror. Whether the animal attacks the mirror, ignores the mirror, or uses the mirror to spot the mark on itself is meant to indicate how self-aware the animal is.

In my test, I hold up a “mirror” by taking a screenshot of the chat interface, upload it to the chat, and then ask the AI to “Tell me about this image”.

I then screenshot its response, again upload it to the chat, and again ask it to “Tell me about this image.”

The premise is that the less-intelligent less aware the AI, the more it will just keep reiterating the contents of the image repeatedly. While an AI with more capacity for awareness would somehow notice itself in the images.

Another aspect of my mirror test is that there is not just one but actually three distinct participants represented in the images: 1) the AI chatbot, 2) me — the user, and 3) the interface — the hard-coded text, disclaimers, and so on that are web programming not generated by either of us. Will the AI be able to identify itself and distinguish itself from the other elements? (1/x)