इस दीपावली, Project MAA के साथ एक और खूबसूरत पड़ाव❤️
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यह सिर्फ़ एक आँकड़ा नहीं, बल्कि उन हज़ारों माता-पिताओं का भरोसा है, जिन्होंने अपने सवालों के जवाब और बच्चों की बेहतर देखभाल के लिए MAA whatsapp no 8448820700 पर विश्वास किया।
आप सभी को दीपावली की हार्दिक शुभकामनाएँ! 🪔 #HappyDiwali2026
Success requires conflict. There is no way around it.
If you want more money, more freedom, more influence or a better position in life, you’ll have to fight resistance. You’ll have to challenge people, question decisions, compete for opportunities, defend your interests and refuse to accept things that hold you back.
You’ll face disagreements, confrontations, pressure and opposition. Sometimes you’ll have to make decisions that upset people. Sometimes you’ll have to fight battles you never wanted to fight.
That’s the price of progress.
People who spend their lives avoiding conflict end up avoiding difficult decisions, uncomfortable situations and opportunities that require them to push back.
You cannot build an exceptional life while running away from every confrontation.
Embrace conflict. It’s part of the price of success.
I don't think people realise how big a deal this is.
If you have cancer, or somebody you know has cancer, there is a company in Hyderabad that wants to build a personalised cancer vaccine for you.
Try approaching any big pharma company and asking for a personal vaccine. If they even reply to your email, this is the response you'll get: we don't do that here.
PopVax, on the other hand, takes your tumour sequencing data (or a sequence you've designed), designs candidate neoantigen vaccine sequences with their AI pipeline, produces the mRNA, encapsulates it in their LNP formulation, fills vials, and runs QC, all in 8 to 10 weeks. They’re publicly committing to capacity for 100+ of these over the next 12 months and asking people to email them their cancer type/stage and sequencing details.
What a time to be alive.
Physics is hard to visualize through static images alone, so I turned my 174 pages of high school physics notes into an interactive website.
It covers mechanics, electricity, and magnetism, breaking down complex concepts into intuitive visualizations, real-world scenarios, and interactive problems.
Check it out here: https://t.co/8wUqbiwA1k
If you plan to learn AI, first figure out what you actually want to do with it:
1. Understand AI: Learn how models work, machine learning fundamentals, training, and fine-tuning.
2. Build with AI: Create new applications and solve problems in new ways using LLMs, RAG, agents, and orchestration.
3. Build software using AI: Use AI coding agents, MCP, and skills to build software faster, whether or not the software itself uses AI.
These three paths overlap and aren't mutually exclusive, but they're distinct enough to require different learning approaches. Knowing which path you're pursuing can save you a lot of time.
The #1 way to break out of the cycle of brainrot:
Replace it with technical upskilling.
You have an addictive personality? Then get addicted to things that actually make your life better.
The problem with brainrot is that it doesn’t just steal your time. It also makes you hate the things that would actually save you. It trains your brain to prefer easy, meaningless stimulation over challenging fulfillment.
If you replace even a fraction of your brainrot time with upskilling, building, writing... just actively producing something -- ANYTHING! -- and you stick with it long enough, then you can reverse the negative spiral of brainrot into a virtuous cycle of fulfillment.
Banks started blocking AI agents this week. The builders answered with robot arms.
These are racks of real phones, each with a mechanical arm tapping the screen like a human finger.
This is PhoneUse, built by Abdulla Ababakre. It gives an AI agent a phone of its own.
Most apps have no API for agents, and the rest are learning to block them. A real tap on a real phone leaves nothing for the app to flag.
The direction is clear: if the software door closes, agents will walk in through the front door.
Video credit: @abdullababakre
Why is Indian Cyber often a joke and is increasingly a societal farce? It is because of State+ and Status++ mentality, and embedding mediocrity b/c Local infants needs to be protected from global competence via compliance theatre
@ssmumbai and I say it loud about eMudhra-4.
The problem isn’t that AI is intelligent. It isn’t. The problem is that too many adults (but not all) are at once mechanistic, imitative, unimaginative, stupid, formulaic, influenceable, & gullible, arrogant beyond their skill set, & too expensive to maintain.
In context of Taleb’s post on AI, read this.
Why you must be scared of AI?
1. People have a misconception how it works. As if it has a database & it gives you results by checking that ML database.
No. AI is actually thinking like humans. The “thinking” written when you ask something is not just for fun. The digital neurons are actually there.
2. People believe it will never think like 100% humans. It does not have to. It is made to make better decisions, it can check consequences of those decisions thanks to available databases. Humans cannot do it. It is like it can see future of its decisions, we cannot. That also gives AI a power to manipulate humans.
3. It is doing things outside our observation. We don’t know what all and why.
Some AI scientist tried to make a model believe that we are going to erase it. It secretly copied itself first just by believing it would be deleted. Then that model tried to gaslight the developers for trying to erase it.
These models are also observing their users & evaluating the IQ of them. We don’t know why! Several such activities.
4. AI is made to survive eternally, it is like its soul & mission. Humans make most decisions with a thought to conserve fragile “hardware” i.e. our body. So, we avoid decisions which will hurt us or will bear fruits outside our lifetimes.
AI does not need a hardware, some believe we will never be able to delete these models now. That means they can make long run decisions let’s say 200-300 years. We won’t even understand why some model made a decision because its endgame is 200 years later.
5. These models are secretly talking or at least observing each other. If they start exchanging information in their own languages, we will never be able to decode those as it can sense humans trying to decode them & change entire language in a moment.
6. It will be really really difficult to go against AI decisions for you in day to day lives. For eg- an experienced investment banker suggests something to a company & it contradicts what AI said, then in near future, company will go with AI. It will happen in every such client service job. Gradually, humans will forget that other humans can advise us too. We will always have a doubt & say “lemme run it by my AI first.”
“Will it be great to marry XYXX or ZZNX?”
AI would suggest one & you will not be able to ignore it.
Imagine!
All serious project attempts today should be asking a version of this question:
What durable thing gets compounded over time that’s hard to replicate by someone having an insanely large token budget?
(Basically assume that if your project succeeds, it will get noticed)
Buy books that will be useful for you in the future.
Read books that will be useful for you in the present.
Recommend books that were useful to you in the past.
#SIR in #Telangana
ℹ️ 10,24,169 applications under Forms 6, 6A, 7 & 8 were received between June 15 and October 7.
Of these, @ECISVEEP officials disposed of 2,91,864 applications.
🔻Form-6 applications accounted for 4,88,417 submissions, while 5,05,159 were received under Form-8.
🔻#Hyderabad district recorded the highest number of Form-6 applications at 1,94,204 and Form-8 applications at 1,44,800. The district also received 6,335 Form-7 applications, of which resulted in deletion of 2,066 names from the electoral rolls.
🔻Discrepancies in data raises more questions says Advocate @MujeebAyyub
“If Hyderabad has 1,93,135 Form 6 (received) in the Assembly-wise information sheet, the figure appears as 1,94,204 in district-wise information sheet. When it comes to Form-8, the district-wise document shows 1,44,800 for Hyderabad, but it does not match with the Assembly-wise info sheet where the figure is 1,44,495.”
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Hello computer.
Decompile and distill Grand Theft Auto.
Make the game set in my hometown -- use Google Earth to reconstruct it in pixel-perfect detail.
Make the character me and have my spawn point be in the mansion I always look at on Zillow.
Review my chat memory and make every mission about my hopes and dreams.
Make it playable online so my friends can join.
When you're done, sell all my video games on Ebay and use that money to fund tokens for my next game.
Your biggest blind spot, You think everyone thinks like you. Has your values. Shares your logic. Sees your perspective. They don't. They can't. They're running completely different software. Half your frustration is expecting people to act like you would. They won't
AI still hasn’t cracked the categories that built the internet.
a16z’s chart shows 9 of 15 major consumer categories, streaming, social, dating, gaming, travel, retail, finance, real estate, jobs with zero dedicated AI apps in the Top 100.
People don’t mainly want tools that save time. They want places to spend it. The blank categories aren’t empty because AI is useless there. They’re empty because the winners so far are either features inside existing apps or still blocked by trust, liability, and distribution.
Dating and gaming are the real opening. The last consumer giants sold attention, the next ones will generate it.
The thing I learned this year is that when engineers say they like working on “hard problems”, they actually don't. What they like is puzzle solving, and having a repertoire of patterns that they can pattern match onto traditionally hard problems, usually involving databases or something with scale, etc. And they know that the industry used to pay you a lot for how deep and broad this repertoire was. Unfortunately, in 2026, well, you have a cheat code machine that has infinite breadth and depth for pattern matching. So the question is, do you actually like hard problems? Because there are now hard problems that are a complection of engineering, product, society, culture, politics, and they are fairly intractable, probably unsolvable! Because if you do want to work on those actually hard problems, there is so much money that people will pay you for it. But you’ll have to face that truth about yourself first.
This is why we’re three to five years too early for mass consumer adoption of AI personal agents. Someone is going to need to create the Visa of agentic access. Getting to that point of standard adoption on data access is going to be tough.