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#WATCH | Semicon India 2025 | Sandeep Kumar, CEO, L&T Semiconductor Technologies, says, "We are building a new security protocol chip. All the chips currently in use in passports, Aadhaar cards, and payment cards are imported. There are high chances of security and data breaches. At L&T, we will... show more

ANI

9,469,457 subscribers

57,226 views • 1 year ago •via X (Twitter)

Science & Technology News & Politics #WATCH

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5 Comments

TheMindDoctor1 year ago

They realised it now?

Atul G1 year ago

This is the future.

Avg _Suresh1 year ago

Wtf .....we are doomed 🤣🤣🤣

Robin Sahaya1 year ago

Bhai vote chori ka kya huwa..vote choro se kaise bajohe

Anand Prakash1 year ago

Passports have chip?

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ARM CEO Rene Haas says the embedded chip market for physical AI will be bigger than data centers. Today, robots largely use repurposed automotive chips, but these are not designed specifically for robot. There will be tens/hundreds of chips per bot - the market will be gigantic

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Elon: 'The Limiting Factor is Chips Now, Power in a Year' "It's not clear to me that there's enough usable electricity to turn on all the AI chips that are being made. Towards the end of this year, the chip output will exceed the ability to turn chips on. Whichever company can scale hardware the fastest will be the leader and XAI will be able to scale hardware the fastest." Source: Cheeky Pint Podcast

Elon: 'The Limiting Factor is Chips Now, Power in a Year' "It's not clear to me that there's enough usable electricity to turn on all the AI chips that are being made. Towards the end of this year, the chip output will exceed the ability to turn chips on. Whichever company can scale hardware the fastest will be the leader and XAI will be able to scale hardware the fastest." Source: Cheeky Pint Podcast

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#WATCH | Sanand, Gujarat: On the inauguration of CG Semi Outsourced Semiconductor Assembly and Test (OSAT) facility, Union Minister for Electronics & Information Technology, Ashwini Vaishnaw, says, "The chips manufactured at this plant will be used in cars, scooters, and various industrial applications; and—most significantly—chips made in India, at this facility, will be exported to Japan, America, and Europe. Indian technology will earn global acclaim. The efforts of Prime Minister have made this success possible. This was once considered impossible, but it has become a reality thanks to the bold resolve of our leadership—a monumental commitment to establish a semiconductor industry in India, which has now come to fruition..."

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ELON MUSK: "For the next few years America is likely to win the race in AI. Then it will be a function of who controls the AI chip fabrication. If more of the factories are owned by China then China will win. Right now all the chip fabs are in Taiwan. 100%. If China invades Taiwan in the near term the world will be cut off from advanced AI chips. I think it's essential for national security that we begin manufacturing our own chips in the US."

ELON MUSK: "For the next few years America is likely to win the race in AI. Then it will be a function of who controls the AI chip fabrication. If more of the factories are owned by China then China will win. Right now all the chip fabs are in Taiwan. 100%. If China invades Taiwan in the near term the world will be cut off from advanced AI chips. I think it's essential for national security that we begin manufacturing our own chips in the US."

Teddy - PolyBackTest.com

401,245 views • 3 months ago

ELON MUSK: “FOR THE NEXT FEW YEARS AMERICA IS LIKELY TO WIN THE RACE IN AI. THEN IT WILL BE A FUNCTION OF WHO CONTROLS THE AI CHIP FABRICATION. IF MORE OF THE FACTORIES ARE OWNED BY CHINA THEN CHINA WILL WIN." "RIGHT NOW ALL THE CHIP FABS ARE IN TAIWAN. 100%." "IF CHINA INVADES TAIWAN IN THE NEAR TERM THE WORLD WILL BE CUT OFF FROM ADVANCED AI CHIPS." "I THINK IT'S ESSENTIAL FOR NATIONAL SECURITY THAT WE BEGIN MANUFACTURING OUR OWN CHIPS IN THE US.”

ELON MUSK: “FOR THE NEXT FEW YEARS AMERICA IS LIKELY TO WIN THE RACE IN AI. THEN IT WILL BE A FUNCTION OF WHO CONTROLS THE AI CHIP FABRICATION. IF MORE OF THE FACTORIES ARE OWNED BY CHINA THEN CHINA WILL WIN." "RIGHT NOW ALL THE CHIP FABS ARE IN TAIWAN. 100%." "IF CHINA INVADES TAIWAN IN THE NEAR TERM THE WORLD WILL BE CUT OFF FROM ADVANCED AI CHIPS." "I THINK IT'S ESSENTIAL FOR NATIONAL SECURITY THAT WE BEGIN MANUFACTURING OUR OWN CHIPS IN THE US.”

Vivek Sen

1,764,593 views • 4 months ago

ELON MUSK: “FOR THE NEXT FEW YEARS AMERICA IS LIKELY TO WIN THE RACE IN AI. THEN IT WILL BE A FUNCTION OF WHO CONTROLS THE AI CHIP FABRICATION. IF MORE OF THE FACTORIES ARE OWNED BY CHINA THEN CHINA WILL WIN." "RIGHT NOW ALL THE CHIP FABS ARE IN TAIWAN. 100%." "IF CHINA INVADES TAIWAN IN THE NEAR TERM THE WORLD WILL BE CUT OFF FROM ADVANCED AI CHIPS." "I THINK IT'S ESSENTIAL FOR NATIONAL SECURITY THAT WE BEGIN MANUFACTURING OUR OWN CHIPS IN THE US.”

ELON MUSK: “FOR THE NEXT FEW YEARS AMERICA IS LIKELY TO WIN THE RACE IN AI. THEN IT WILL BE A FUNCTION OF WHO CONTROLS THE AI CHIP FABRICATION. IF MORE OF THE FACTORIES ARE OWNED BY CHINA THEN CHINA WILL WIN." "RIGHT NOW ALL THE CHIP FABS ARE IN TAIWAN. 100%." "IF CHINA INVADES TAIWAN IN THE NEAR TERM THE WORLD WILL BE CUT OFF FROM ADVANCED AI CHIPS." "I THINK IT'S ESSENTIAL FOR NATIONAL SECURITY THAT WE BEGIN MANUFACTURING OUR OWN CHIPS IN THE US.”

Trending Bitcoin

511,248 views • 1 month ago

ELON MUSK: AI’s next major bottleneck will be electricity. “A few years ago, I made a very obvious prediction, which is that the limitation on AI will be chips, and it's still chips kind of chips today, then it will be electrical equipment, because you need to take power at that might be at 300,000 volts, all the way down to 400 volts for the computer. So you need to step down transformers and a lot of them and a lot of cabling and wiring and fuses. And it's a lot of transformers, essentially, and the electrical transformer industry is not used to big changes in demand. And then as we solve the transformer shortage, there will be the fundamental electricity generation shortage. We're getting there soon.”

ELON MUSK: AI’s next major bottleneck will be electricity. “A few years ago, I made a very obvious prediction, which is that the limitation on AI will be chips, and it's still chips kind of chips today, then it will be electrical equipment, because you need to take power at that might be at 300,000 volts, all the way down to 400 volts for the computer. So you need to step down transformers and a lot of them and a lot of cabling and wiring and fuses. And it's a lot of transformers, essentially, and the electrical transformer industry is not used to big changes in demand. And then as we solve the transformer shortage, there will be the fundamental electricity generation shortage. We're getting there soon.”

DogeDesigner

108,591 views • 28 days ago

🚨 BREAKING: Apple says they will be making 19 billion chips in the United States AND will be only buying rare-earth magnets produced in the USA. Every new iPhone and Apple Watch WORLDWIDE, will be made with Kentucky-made cover glass. Trump is just standing there listening to all of these announcements nodding in approval. 'I did that.' 🤣🔥

🚨 BREAKING: Apple says they will be making 19 billion chips in the United States AND will be only buying rare-earth magnets produced in the USA. Every new iPhone and Apple Watch WORLDWIDE, will be made with Kentucky-made cover glass. Trump is just standing there listening to all of these announcements nodding in approval. 'I did that.' 🤣🔥

Eric Daugherty

10,301,393 views • 1 year ago

CES Report #2: Asygn claims it has the best computer vision chips for glasses. Uses very little power. I include this because these chips are going to run the vision workloads in glasses of the future. They will demonstrate how glasses can recognize everything in the world in a very privacy-protecting way (data doesn’t leave the chip), while using very little power. I have long heard Meta and Apple are doing similar chips for their devices. Really matters in products coming in 2027 or later.

CES Report #2: Asygn claims it has the best computer vision chips for glasses. Uses very little power. I include this because these chips are going to run the vision workloads in glasses of the future. They will demonstrate how glasses can recognize everything in the world in a very privacy-protecting way (data doesn’t leave the chip), while using very little power. I have long heard Meta and Apple are doing similar chips for their devices. Really matters in products coming in 2027 or later.

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Chips are being embedded into your clothing labels The chips are mainly RFID, Radio Frequency Identification, chips being embedded into the labels If you look closely or hold the labels up to light you can clearly see the chip, not all labels have them but many retailers are using them RFID chips are used in many huge retailers in America for - Inventory tracking - Self-checkout, you place items in a bin and the system reads all tags automatically - Anti-theft and security They contain a microchip and antenna but are not “tracking microchips” however I’d still recommend removing them They’ve been out for years but are being used by more and more major retailers so people are staying to notice

Chips are being embedded into your clothing labels The chips are mainly RFID, Radio Frequency Identification, chips being embedded into the labels If you look closely or hold the labels up to light you can clearly see the chip, not all labels have them but many retailers are using them RFID chips are used in many huge retailers in America for - Inventory tracking - Self-checkout, you place items in a bin and the system reads all tags automatically - Anti-theft and security They contain a microchip and antenna but are not “tracking microchips” however I’d still recommend removing them They’ve been out for years but are being used by more and more major retailers so people are staying to notice

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184,672 views • 2 months ago

ELON MUSK: "xAI will be the leader, we'll be able to turn on more chips than other people and faster, because we're good at hardware. The current limiting factor that I see in the sort of three to four year time frame is chips. In one day time it's the energy, power production, electricity. It's not clear to me that there's enough usable electricity to turn on all the AI chips that are being made, towards the end of this year. xAI will be able to scale hardware the fastest, and therefore most likely will be the leader."

ELON MUSK: "xAI will be the leader, we'll be able to turn on more chips than other people and faster, because we're good at hardware. The current limiting factor that I see in the sort of three to four year time frame is chips. In one day time it's the energy, power production, electricity. It's not clear to me that there's enough usable electricity to turn on all the AI chips that are being made, towards the end of this year. xAI will be able to scale hardware the fastest, and therefore most likely will be the leader."

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52,128 views • 7 months ago

Zohran Mamdani responds to Markwayne Mullin: “Our laws and our values are not bargaining chips. We will not be threatened to leave so many of the New Yorkers who call this city home prey to these kinds of cruel policies. We are proud of the fact that we are a sanctuary city”

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Marco Foster

63,818 views • 4 months ago

No wonder Jensen got so defensive over $NVDA GPUs against custom chips. $GOOG will start using different custom chips for inference and training. $AMZN has already adopted this approach as they have Trainium for training and Inferentia for inference. Hyperscalers obviously see better price/performance in this approach, and this is where the industry is headed. $AVGO and $MRVL are poised to be big winners, while $NVDA dominance will be under increasing pressure.

No wonder Jensen got so defensive over $NVDA GPUs against custom chips. $GOOG will start using different custom chips for inference and training. $AMZN has already adopted this approach as they have Trainium for training and Inferentia for inference. Hyperscalers obviously see better price/performance in this approach, and this is where the industry is headed. $AVGO and $MRVL are poised to be big winners, while $NVDA dominance will be under increasing pressure.

Oguz Erkan

223,244 views • 5 months ago

$AMZN AWS CEO: “We invest on 5-year commitments from customers, so we have great visibility for revenues and when they’ll land.” AWS also recently implied that server investments pay off in under 3 years, so we are looking at 2 years of pure returns after investment is recovered. They also depreciate chips in 5 years, so every year the equipment stays useful beyond 5 years substantially add to operating margins. Plus, these chips will likely be rented at a premium on the current contract prices as demand far outstrips supply. Rental rates for even 6-year old A100 chips are up 20% YTD. And note that all these economics will get even better as most servers shift to ASICs from third party accelerators. Can’t imagine a more bullish scenario for hyperscalers. $AMZN $MSFT $GOOG $ORCL

$AMZN AWS CEO: “We invest on 5-year commitments from customers, so we have great visibility for revenues and when they’ll land.” AWS also recently implied that server investments pay off in under 3 years, so we are looking at 2 years of pure returns after investment is recovered. They also depreciate chips in 5 years, so every year the equipment stays useful beyond 5 years substantially add to operating margins. Plus, these chips will likely be rented at a premium on the current contract prices as demand far outstrips supply. Rental rates for even 6-year old A100 chips are up 20% YTD. And note that all these economics will get even better as most servers shift to ASICs from third party accelerators. Can’t imagine a more bullish scenario for hyperscalers. $AMZN $MSFT $GOOG $ORCL

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29,884 views • 1 month ago

Howard Lutnick announced that the United States government will be fully implementing Q, Quantum computing, with $2 billion in U.S. taxpayer funding. "Once we have quantum chips, we have to protect everyone in this government." "To make sure all of us are protected and defended."

Howard Lutnick announced that the United States government will be fully implementing Q, Quantum computing, with $2 billion in U.S. taxpayer funding. "Once we have quantum chips, we have to protect everyone in this government." "To make sure all of us are protected and defended."

Shadow of Ezra

303,939 views • 3 months ago

#WATCH | Haryana: On efforts to cancel passports and Visas of the alleged farmers involved in violence, DSP Ambala Joginder Sharma says, "We have identified involved in violence coming to Haryana from Punjab in the name of farmers' protest. We have identified them with CCTV cameras and drone cameras. We will request the Ministry and embassy to cancel their Visas and passports... Their photos, name and address will be given to the passport office. We are working on canceling their passports..."

#WATCH | Haryana: On efforts to cancel passports and Visas of the alleged farmers involved in violence, DSP Ambala Joginder Sharma says, "We have identified involved in violence coming to Haryana from Punjab in the name of farmers' protest. We have identified them with CCTV cameras and drone cameras. We will request the Ministry and embassy to cancel their Visas and passports... Their photos, name and address will be given to the passport office. We are working on canceling their passports..."

ANI

1,140,096 views • 2 years ago

If your chips and models aren't built in lockstep, you're already behind. At VivaTech, Amazon SVP Peter DeSantis—who leads a new org uniting foundation models and custom chips—explained why they have to develop together, not in sequence. 🤝 "If the chips are not telling the model designers what capabilities are coming and where they can optimize, then we're not doing the science necessary to take advantage of those capabilities until the chips are available—and then you're waiting months and months." Amazon has been doing this since day one. That’s why Trainium is a chip of choice for AI companies building applications from large language models to world models and more.

If your chips and models aren't built in lockstep, you're already behind. At VivaTech, Amazon SVP Peter DeSantis—who leads a new org uniting foundation models and custom chips—explained why they have to develop together, not in sequence. 🤝 "If the chips are not telling the model designers what capabilities are coming and where they can optimize, then we're not doing the science necessary to take advantage of those capabilities until the chips are available—and then you're waiting months and months." Amazon has been doing this since day one. That’s why Trainium is a chip of choice for AI companies building applications from large language models to world models and more.

Amazon

76,124 views • 2 months ago