Manish Rai

Strategy, Analytics, Trend spotting, Connect the dots, Future Technologies, Behavioral Science

[Manish Rai @Manish16Rai]

@AJIOLife @AjioCares I have not recieved 2 T shirts which I had ordered but showing in App as delivered.

Order no : FN 8060801168

Need resolution. Haven't been able to get any response through in-app chat or email option yet.

[Manish Rai @Manish16Rai]

@Nithin0dha 18000 Beds ? There's a typo here @Nithin0dha

[Balaji @balajis]

What comes next for AI? Perhaps physically specific intelligence, more than artificial general intelligence.

Here’s a draft thesis.

(1) First, AI is now entering the trough of the hype cycle. Every tech, no matter how amazing, goes through this. It’s actually one of the best times to invest and build once the space begins to thin.

(2) Second, AI is both highly useful for search, summarization, visualization, and prototyping *and* a highly annoying source of spam, scams, and slop. Too many will focus solely on the downsides.

(3) Third, the exact plateau of AI is quite unexpected. The fact that current models seem to have topped out at “far better web search and summary” is not where most would have pegged it in 2022. Disrupting Google is a historical accomplishment, yet it’s not the machine god.

(4) One thesis for why models plateaued in this way is that LLM-style digital AI really *is* just repeating, rather than truly thinking. It is downstream, not upstream. Now, you can get much further with this than most thought. But you can’t get all the way to novel thoughts.

(5) That leads to another point: as I’ve said before, digital AI does it middle-to-middle, not end-to-end. Because the bottleneck for digital AI is prompting and verifying.

(6) However, *physical* AI — in the sense of robotic guidance — *can* feasibly do things end-to-end, albeit after the investment of a lot of energy on edge cases. For example, self-driving cars now truly can take you from point A to point B. They do it end-to-end.

(7) So, extremely well-specified and economically valuable physical world problems like “drive from point A to point B” are where we should see significant AI progress. Call this physical specific intelligence.

(8) Chinese robots in particular will nail task after task, in many form factors beyond just cars or humanoids. Sidewalk robots and delivery drones are already live in China, alongside self-driving cars, and their hardware sector is accelerating.

(9) One reason to be more short-term
bullish on physically specific intelligence rather than artificial general intelligence is that the physical world is real while the digital world can be fictional. @drfeifei made the related point that the textbook concept of simultaneous location and mapping (SLAM) is actually an explicit physical world model, something we’ve all known is lacking in the digital realm.

(10) In particular, if you have N different robots all doing SLAM (or equivalent) and uploading their sensor data to a central database, they are all in a sense learning from the same physical world and each other. The millions of training miles driven by self-driving cars show that this strategy works.

(11) Contrast this to the digital world. Text can be fake, it can be fictional, and indeed it is often so. And this is doubly so as AI text permeates the web.

(12) So N robots sensing the physical world will converge on a consensus reality. A Unitree robot and a Tesla robot will perceive the same objects. By contrast, N agents in the digital world just keep ingesting text and images, which can and will be inconsistent.

(13) In the absence of digital signatures, the online data used for AI training will be not just internally inconsistent but fake in subtle or deep ways. Indeed, widespread AI models ensure that much digital data (outside hard digital borders) will become fake, or slop, or AI agents talking to each other.

(14) Algorithmic breakthroughs could obviate everything I’ve just said. But at least right now, the field seems wide open for physically specific intelligence.

(15) The industrial version of physically specific intelligence is factory robots. The consumer version though is a garden of intelligent things: robot cars, dogs, drones, fridges, and the like that can talk to you and understand you. Amazon Alexa, but for everything?

[Manish Rai @Manish16Rai]

Mass pigeon feeding isn’t kindness, but it causes serious harm — to public health, buildings, and even the birds themselves.
The awareness about its implications must increase — especially among those who mass-feed pigeons for religious or social reasons. 🕊️🚫

[Sahyadri Hospitals @SahyadriCares]

What happens when medical emergencies strike? Find out on The AKVK Show with Anil Kapoor and Vichaar Kar, featuring the unwavering dedication of Sahyadri Hospital's 24/7 emergency services. #AKVKShow. Watch the latest episode now!

#SahyadriHospitals #SahyadriForLife #TheAKVKShow #AnilKApoor #VichaarKar #HealthCare

[Manish Rai @Manish16Rai]

@AnilKapoor @sureshtriveni78 @vikramix @PrimeVideoIN @Abundantia_Ent @openingimage @akfcnetwork @saurabhtop Happy Birthday AK,

Here’s wishing you another year filled with success, happiness, and endless moments of joy.

May you keep inspiring us all with your timeless charm and incredible talent!

With heartfelt wishes,
Sahyadri Team

[Manish Rai @Manish16Rai]

Check out my latest article: Two New Brand Campaigns, Two Worlds: Lessons in Brand Storytelling https://t.co/dswcH2wDO2 via @LinkedIn

[Sahyadri Hospitals @SahyadriCares]

Pioneering the Future of Cancer Care!

Sahyadri Hospital, Hadapsar proudly announces the launch of TOMO, becoming Asia’s first hospital to offer cancer treatment with the revolutionary Radixact X9 System with C-RAD'S SGRT enabled with Auto Beam Hold Technology.
This groundbreaking launch event marks a significant milestone in precise cancer care, providing patients with cutting-edge treatment options and improved outcomes.
The event was inaugurated by Dr. Sudeep Gupta, Director of Tata Memorial Hospital, Mumbai, and concluded with an inspiring dance performance by cancer survivor patients, symbolizing hope and resilience in the fight against cancer.

#SahyadriHospitals #SahyadriCancerCare #SahyadriCares #CancerCare #Oncology #MedicalInnovation #HealthcareTechnology #RadixactX9 #VitalHoldTechnology #CancerTreatment #CancerHospitalInPune #HealthcareLeadership

[Manish Rai @Manish16Rai]

@hcmariwala @Dev_Fadnavis @mieknathshinde @mybmc
How about trying this in Powai Lake Or Mithi river at Mumbai? Must be tried..

[Manish Rai @Manish16Rai]

@niraj_shah That's superb @prashantbhonsle 👍

[Manish Rai @Manish16Rai]

Curiosity

[Manish Rai @Manish16Rai]

@GabbbarSingh @GingerMonkeyIN Brilliant copy writing

[Manish Rai @Manish16Rai]

@teasri Good perspective..

[Manish Rai @Manish16Rai]

@akhileshsharma1 @TwitterIndia @YouTube Well done @akhileshsharma1 Kudos!!!

[Manish Rai @Manish16Rai]

@upadhyay_harsh1 We at @medikabazaar are hiring for Marketing roles across Performance, Design, Content, Corp Comm, Loyalty, Product Mktg, MarTech etc.

Location - Mumbai

Pls connect at [email protected]

[Manish Rai @Manish16Rai]

@Varun_Jhaveri @IIMAhmedabad Congratulations Varun!

[Manish Rai @Manish16Rai]

@SurabhiA_ET @EconomicTimes Congratulations

[Manish Rai @Manish16Rai]

@rnivruti @DrShikdum22 Happy Diwali!

[Manish Rai @Manish16Rai]

A good product feels like it was built by one person with great clarity.

A bad product feels like it was built by a team of incoherent confused product managers

[Manish Rai @Manish16Rai]

@agarwal__gaurav Build the pull
Build the curiosity to try
Build the desire to own