14: AI

Trump’s Trade War
Peace For Taiwan Is Possible

Trump’s Trade War
Peace For Taiwan Is Possible

Trump’s Trade War
Peace For Taiwan Is Possible

12: AI

Trump upends US Ukraine policy and says he and Putin have agreed to begin negotiations on ending war

Goodbye DeepSeek

China just dropped another AI model - Kimi AI and it's INSANE

13 Wild Examples so far (Don't miss the 5th one) pic.twitter.com/LfrgBP3uLy

— Poonam Soni (@CodeByPoonam) February 12, 2025

2. 50 files at a time:

- Upload image, Excel, PDF, Word, PPT files
- Process and tabulate 50 resumes/invoices pic.twitter.com/rcYf7lKyAp

— Poonam Soni (@CodeByPoonam) February 12, 2025

Great meeting you @sundarpichai pic.twitter.com/Z0yzYhsHgd

— Aravind Srinivas (@AravSrinivas) February 11, 2025

If you simply avoid shelter, food, clothes and other basic needs for survival, inflation shouldn’t impact you.

— Douglas A. Boneparth (@dougboneparth) February 12, 2025

YouTube is the new university.

Sadly most people waste time on the wrong channels.

Here are 10 YouTube channels that will teach you AI: 👇 pic.twitter.com/JZTMGOtny9

— Shushant Lakhyani (@shushant_l) February 11, 2025

YouTube is the new university.

Sadly most people waste time on the wrong channels.

Here are 10 YouTube channels that will teach you AI: 👇 pic.twitter.com/JZTMGOtny9

— Shushant Lakhyani (@shushant_l) February 11, 2025

7. 10x income

Learn how to make money using a wide variety of AI tools.

Type of content:

1. Tutorials

Link: https://t.co/OMMwtaRAO8 pic.twitter.com/DUHbjUfZf8

— Shushant Lakhyani (@shushant_l) February 11, 2025

10. The Next Wave

It is the essential guide for business owners navigating the complexities of artificial intelligence.

Types of content:

1. Insights
2. Tools
3. Tutorials
4. Updates

Link: https://t.co/JAamlBgznV pic.twitter.com/ondMZ9U5t3

— Shushant Lakhyani (@shushant_l) February 11, 2025

pic.twitter.com/7NzFTkFjhk

— Elon Musk (@elonmusk) February 12, 2025

Welcome to Mars
pic.twitter.com/cyvEEVRD7L

— Elon Musk (@elonmusk) February 11, 2025

At this point, I am 100% certain that the magnitude of the fraud in federal entitlements (Social Security, Medicare, Medicaid, Welfare, Disability, etc) exceeds the combined sum of every private scam you’ve ever heard by FAR.

It’s not even close.

— Elon Musk (@elonmusk) February 11, 2025

i think we are going to initially offer 10 uses per month for chatgpt plus and 2 per month in the free tier, with the intent to scale these up over time.

it probably is worth $1000 a month to some users but i'm excited to see what everyone does with it! https://t.co/YBICvzodPF

— Sam Altman (@sama) February 12, 2025

Who are the key players in the space that might deliver?

— Paramendra Kumar Bhagat (@paramendra) February 12, 2025

25: AI

22: AI

@paramendrakumarbhagat

Prophecies Are Proof Of God (2)

♬ original sound - Paramendra Kumar Bhagat

@paramendrakumarbhagat

AI And Robotics Break Capitalism

♬ original sound - Paramendra Kumar Bhagat

@paramendrakumarbhagat

Solving Global Warming: A Path Toward A Sustainable Future

♬ original sound - Paramendra Kumar Bhagat

@paramendrakumarbhagat 50 Implications Of The Kalkiist Manifesto #kalki ♬ original sound - Paramendra Kumar Bhagat

Harvard says AI tutors are better than Harvard professors.

The students who used an AI tutor in a Harvard physics class (instead of the professor’s teaching) learned more than 2X as much.

The best part?

They did it in less time and were more motivated and engaged.

— Austin Scholar (@AustinScholar) January 22, 2025

New tech city for Huawei built near Shanghai. Nepal needs to build new cities. https://t.co/Anw1HsbEwJ

— Ambassador Chen Song (@PRCAmbNepal) January 22, 2025

I agree. Democracy For Nepal: Reconstruction In The Aftermath Of The Nepal Earthquake https://t.co/i8J4i0lr90

— Paramendra Kumar Bhagat (@paramendra) January 23, 2025

केपी ओलिको ५ अर्ब राज्यको ढुकुटी खर्चेर बनाएको टावरले कति राजस्व संकलन गर्दैछ ? कसरी बनाइयो ? अख्तियार र महालेखाले सबै बिलहरु चेक गर्‍यो ? हाम्ले ढुङ्गा बोकीबोकी बनाएको श्रम संस्कृति पार्कले त निक्कै राजस्व संकलन गर्छ है ! pic.twitter.com/YSOrz3swfM

— Hark Sampang A revolution (@hark_sampang) January 22, 2025

#ElonMusk 'kicks #VivekRamaswamy out' of #DonaldTrump’s government over #H1B post | Details pic.twitter.com/gVNhUM4aGX

— The Times Of India (@timesofindia) January 22, 2025

9: AI Safety

My flight was delayed so I cleaned up my office. pic.twitter.com/TwtixGNzMu

— Paul Graham (@paulg) January 8, 2025

If they shut down TikTok in the US, where will people get their financial advice?

— Douglas A. Boneparth (@dougboneparth) January 9, 2025

Yes

— Elon Musk (@elonmusk) January 8, 2025

No. This is not close to factual. There was a one year program in Marin County that encouraged minorities to also apply for the fire department. That is not why there is a problem in fighting fires in LA. There is very legitimate critcism of Bass and Newsom, but this ain't it.

— Cenk Uygur (@cenkuygur) January 9, 2025

A friend in LA just took this video pic.twitter.com/WJBWCHmCUs

— Elon Musk (@elonmusk) January 8, 2025

Can you honestly say that Pete Hegseth — who said women shouldn’t serve in combat, who was drunk at work events, who's credibly accused of sexual assault, and who ran a veteran's nonprofit into the ground — should be in charge of the Department of Defense? pic.twitter.com/pTtOqMsYGj

— Elizabeth Warren (@SenWarren) January 9, 2025

I see everyone on Twitter overnight has become an expert on fire hydrants and the history of California water management practices. 🤷🏽‍♂️

— Mehdi Hasan (@mehdirhasan) January 9, 2025

Trying to fit a natural disaster into an ideological bucket doesn’t help.

— Andrew Yang🧢⬆️🇺🇸 (@AndrewYang) January 9, 2025

We need a Jensen biography by Walter Isaacson next. https://t.co/4zxFYpYRIK

— Aravind Srinivas (@AravSrinivas) January 8, 2025

💯 https://t.co/1DLUkaVm2j

— Elon Musk (@elonmusk) January 9, 2025

Californians deserve answers about the failure to contain these horrific wildfires in Los Angeles. pic.twitter.com/m6CVEODung

— Rep. Ro Khanna (@RepRoKhanna) January 9, 2025

7: AI Agents

24: AI

16: AI

Only The Kalkiist Economy Can Fully And Fairly Harvest AI

AI (Artificial Intelligence) को हिंदी में कृत्रिम बुद्धिमत्ता कहा जाता है। यह कंप्यूटर विज्ञान की एक शाखा है जो कंप्यूटर सिस्टम्स को "स्मार्ट" बनाने का काम करती है ताकि वे इंसानों जैसी बुद्धिमत्ता का प्रदर्शन कर सकें। इसका उद्देश्य मशीनों को इस तरह विकसित करना है कि वे सोच-समझकर निर्णय ले सकें, समस्याओं का समाधान कर सकें, सीख सकें, और विभिन्न कार्यों को अपने आप पूरा कर सकें।

कृत्रिम बुद्धिमत्ता के कुछ प्रमुख क्षेत्र इस प्रकार हैं:

1. मशीन लर्निंग (Machine Learning): यह AI का एक हिस्सा है जो मशीनों को डेटा से सीखने और अपने अनुभवों के आधार पर प्रदर्शन को सुधारने में मदद करता है।
2. नेचुरल लैंग्वेज प्रोसेसिंग (Natural Language Processing): इसके माध्यम से मशीनें इंसानी भाषाओं को समझ सकती हैं और उन पर आधारित कार्य कर सकती हैं।
3. रोबोटिक्स: AI का उपयोग रोबोट्स में किया जाता है ताकि वे स्वचालित रूप से कार्य कर सकें।
4. कंप्यूटर विजन (Computer Vision): इसमें कंप्यूटर को इमेज और वीडियो को समझने की क्षमता दी जाती है।

कृत्रिम बुद्धिमत्ता का उपयोग स्वास्थ्य, वित्त, शिक्षा, परिवहन, और मनोरंजन जैसे विभिन्न क्षेत्रों में तेजी से बढ़ रहा है।



"The Kalkiist Economy Can Fully and Fairly Harvest AI" refers to a theoretical or visionary economic model that aligns with the principles of a "Kalkiist" philosophy—presumably based on the concept of Kalki, the prophesied future incarnation of Vishnu in Hindu tradition, associated with righteousness, renewal, and a new era of fairness. This statement suggests that a Kalkiist economy would be the only economic system capable of fully utilizing and fairly distributing the benefits of artificial intelligence.

Let’s break down the concept:

1. Kalkiist Economy:

- A Kalkiist economy could imply an economic model rooted in the idea of righteousness, fairness, and balance, potentially inspired by the concept of Kalki as the destroyer of corruption and bringer of a just world.
- It would likely emphasize equity, ethical use of technology, and a balanced distribution of wealth and opportunities.
- The economy might focus on holistic well-being, ensuring that AI advancements are not just leveraged by a select few, but benefit all sections of society.

2. Fully Harvesting AI:

- AI, when fully harvested, means leveraging its maximum potential across all sectors—education, healthcare, governance, finance, and more.
- The Kalkiist economy would ensure that AI reaches its full potential by:
- Promoting inclusive innovation and ensuring equal access to AI-powered solutions for all individuals and communities.
- Avoiding monopolistic practices where only large corporations and a select elite control AI technology.
- Using AI to improve social systems, productivity, and sustainability without causing harm to marginalized groups.

3. Fairly Harvesting AI:

- Fairness in the context of AI means ethical development and equitable distribution of the benefits AI brings.
- A Kalkiist economy would ensure that the fruits of AI are shared equally, preventing situations where AI creates or exacerbates inequalities.
- It would likely emphasize regulation and ethical oversight to prevent misuse of AI (e.g., in surveillance, biased algorithms, job displacement without proper safeguards).
- This economy would address concerns about the economic divide caused by AI automation and would seek to reskill the workforce for future industries.

Key Principles of a Kalkiist Economy Using AI:

1. Ethical AI Development: Ensuring AI is built with the highest ethical standards to avoid harm and promote welfare.
2. Universal Access: Everyone, regardless of their socio-economic status, should benefit from AI, ensuring equal access to technological advancements.
3. Sustainable Growth: AI is used not just for profit but for creating sustainable and environmentally friendly solutions.
4. Human-Centric Approach: AI should augment human potential, not replace it. Kalkiist philosophy might emphasize the symbiosis of AI with human creativity, emotions, and intelligence.
5. Regulation for Fairness: Strong regulations and policies to ensure that AI is not weaponized for exploitation, but rather used for the common good.

In summary, the idea behind "The Kalkiist Economy Can Fully And Fairly Harvest AI" is that only an economy built on principles of fairness, justice, and balance, like a Kalkiist model, would ensure that AI technology reaches its full potential while being ethically and equitably distributed across society. It suggests that current capitalist or unequal economic systems may not be equipped to handle the disruptive power of AI in a way that benefits all.



"केवल कल्कीय अर्थव्यवस्था ही कृत्रिम बुद्धिमत्ता (AI) का पूर्ण और निष्पक्ष रूप से उपयोग कर सकती है" का तात्पर्य एक ऐसे सैद्धांतिक या आदर्श आर्थिक मॉडल से है, जो कल्कि के सिद्धांतों पर आधारित हो। हिंदू परंपरा में कल्कि को भविष्य के अवतार के रूप में देखा जाता है, जो धर्म की स्थापना और एक नए युग की शुरुआत के साथ जुड़े होते हैं। इस विचारधारा के अनुसार, एक कल्कीय अर्थव्यवस्था वह एकमात्र प्रणाली होगी जो कृत्रिम बुद्धिमत्ता (AI) के सभी लाभों का पूरी तरह से और निष्पक्ष रूप से उपयोग और वितरण कर सकेगी।

आइए इस विचार को विस्तार से समझते हैं:

1. कल्कीय अर्थव्यवस्था:

- एक कल्कीय अर्थव्यवस्था से तात्पर्य एक ऐसे आर्थिक मॉडल से हो सकता है जो धर्म, न्याय, और संतुलन के सिद्धांतों पर आधारित हो, जिसमें कल्कि के अवतार का उद्देश्य भ्रष्टाचार का अंत और न्यायपूर्ण समाज की स्थापना हो।
- यह अर्थव्यवस्था न्यायसंगत, नैतिक रूप से सही तकनीकी उपयोग और संपत्ति तथा अवसरों का समान वितरण सुनिश्चित करेगी।
- यह मॉडल समग्र कल्याण पर ध्यान केंद्रित करेगा, ताकि AI से होने वाले लाभ सभी वर्गों तक पहुंचे, न कि केवल कुछ विशेष समूहों तक।


2. AI का पूर्ण उपयोग:

- AI का पूर्ण उपयोग करने का अर्थ है इसका अधिकतम लाभ उठाना और इसे शिक्षा, स्वास्थ्य, शासन, वित्त आदि सभी क्षेत्रों में लागू करना।
- कल्कीय अर्थव्यवस्था सुनिश्चित करेगी कि AI का अधिकतम उपयोग निम्नलिखित तरीकों से हो:
- समावेशी नवाचार को बढ़ावा देना, ताकि सभी व्यक्तियों और समुदायों को AI से लाभ मिल सके।
- यह सुनिश्चित करना कि केवल बड़े कॉर्पोरेट्स या चुनिंदा लोग AI पर नियंत्रण न करें।
- सामाजिक प्रणालियों, उत्पादकता और स्थिरता को सुधारने के लिए AI का उपयोग, बिना किसी समूह को नुकसान पहुंचाए।

3. AI का निष्पक्ष उपयोग:

- AI के संदर्भ में निष्पक्षता का अर्थ है नैतिक विकास और इसके लाभों का समान वितरण।
- एक कल्कीय अर्थव्यवस्था यह सुनिश्चित करेगी कि AI से होने वाले लाभों का समान रूप से वितरण हो, ताकि इससे असमानताएं न बढ़ें।
- यह अर्थव्यवस्था AI के दुरुपयोग को रोकने के लिए कड़ी निगरानी और नैतिक नियंत्रण पर ध्यान देगी (जैसे, निगरानी में दुरुपयोग, पक्षपाती एल्गोरिदम, नौकरियों का नुकसान)।
- AI से उत्पन्न आर्थिक विभाजन को दूर करने के लिए यह अर्थव्यवस्था नए उद्योगों के लिए कार्यबल को नए कौशल सिखाने पर जोर देगी।

एक कल्कीय अर्थव्यवस्था के प्रमुख सिद्धांत, जो AI का उपयोग करती है:

1. नैतिक AI विकास: यह सुनिश्चित करना कि AI का निर्माण उच्चतम नैतिक मानकों के साथ किया जाए, ताकि इसका कोई गलत उपयोग न हो और यह समाज के कल्याण के लिए हो।
2. सार्वजनिक पहुंच: चाहे कोई भी व्यक्ति या समुदाय हो, AI से होने वाले लाभों तक सभी की पहुंच होनी चाहिए।
3. सतत विकास: AI का उपयोग केवल मुनाफे के लिए नहीं, बल्कि टिकाऊ और पर्यावरण के अनुकूल समाधान विकसित करने के लिए हो।
4. मानव-केंद्रित दृष्टिकोण: AI का उद्देश्य मानव क्षमता को बढ़ाना होना चाहिए, न कि उसे प्रतिस्थापित करना। कल्कीय विचारधारा शायद AI और मानव रचनात्मकता, भावनाओं, और बुद्धिमत्ता के बीच सहजीविता पर जोर देगी।
5. न्यायसंगत नियंत्रण: AI का शोषण न हो, इसके लिए मजबूत नियम और नीतियां बनाना ताकि यह सभी के भले के लिए उपयोग हो।

सारांश में, "केवल कल्कीय अर्थव्यवस्था ही कृत्रिम बुद्धिमत्ता का पूर्ण और निष्पक्ष रूप से उपयोग कर सकती है" का विचार यह है कि केवल एक ऐसी अर्थव्यवस्था, जो न्याय, धर्म और संतुलन के सिद्धांतों पर आधारित हो, AI तकनीक का अधिकतम और नैतिक रूप से समान वितरण सुनिश्चित कर सकती है। यह सुझाव देता है कि वर्तमान पूंजीवादी या असमान आर्थिक प्रणालियां AI की शक्तियों को उस तरीके से संभालने में सक्षम नहीं हैं, जिससे सभी को लाभ हो।

9: AI

26: AI

Why Do People Like Elon Musk Love Donald Trump? It’s Not Just About Money.
Hezbollah Is Everyone’s Problem
Why Is OpenAI Trying to Raise So Much Money?
How Canadians Fell Out of Love With Justin Trudeau Canada’s Liberals are reeling from a string of setbacks, as the party faces a confidence vote in Parliament on Wednesday.

20: AI

Pulling Back the Silicon Curtain Yuval Noah Harari’s study of human communication may be anything but brief, but if you can make it to the second half, you’ll be both entertained and scared.



The breakthrough AI needs A race is on to push artificial intelligence beyond today’s limits ........... The energy used to train OpenAI’s gpt-4 model could have powered 50 American homes for a century. ....... today’s biggest models cost $100m to train; the next generation could cost $1bn, and the following one $10bn. On top of this, asking a model to answer a query comes at a computational cost—anything from $2,400 to $223,000 to summarise the financial reports of the world’s 58,000 public companies. ........... fracking made it possible to reach oil and gas reserves that had previously been uneconomical to extract. As a consequence, America now produces more oil than any other country. ......... Alphabet, Amazon, Apple, Meta and Microsoft are all designing their own ai chips. ........... Bigger models that rely on the brute force of computational power are giving way to smaller and more specialised systems. OpenAI’s newest model, o1, is designed to be better at reasoning, but not generating text. Other makers are employing less onerous calculations, so as to make more efficient use of chips. Through clever approaches, such as using a mixture of models, each suited to a different type of problem, researchers have drastically cut down on processing time. .............. If the trend towards smaller and more specialised models continues, then the ai universe could contain a constellation of models, instead of just a few superstars. ............ This means that investors are in for a rocky ride. Their bets on today’s leaders look less certain. Nvidia could lose ground to other chipmakers; OpenAI could be supplanted. ........... progress in ai is as much about having the right talent and a flourishing ecosystem as it is about amassing capital and computing power. Countries in Europe and the Middle East may find that the hard graft of cultivating ingenuity matters as much as buying in computer chips. America, by contrast, is blessed with chips, talent and enterprise. It has many of the world’s best universities and, in San Francisco and Silicon Valley, an enviable and long-established cluster of talent.

Strawberry

Putin warns that allowing Ukraine to strike deep into Russia will draw West into war
First Post-Debate Poll Shows Kamala Harris Breaking Out With Lead
Russia threatens nuclear retaliation over Western missiles in Ukraine

OpenAI Announces a New AI Model, Code-Named Strawberry, That Solves Difficult Problems Step by Step The ChatGPT maker reveals details of what’s officially known as OpenAI-o1, which shows that AI needs more than scale to advance........ OpenAI made the last big breakthrough in artificial intelligence by increasing the size of its models to dizzying proportions, when it introduced GPT-4 last year. The company today announced a new advance that signals a shift in approach—a model that can “reason” logically through many difficult problems and is significantly smarter than existing AI without a major scale-up. ......... Rather than summon up an answer in one step, as a large language model normally does, it reasons through the problem, effectively thinking out loud as a person might, before arriving at the right result......... “There are two paradigms,” Murati says. “The scaling paradigm and this new paradigm. We expect that we will bring them together.” ......... LLMs typically conjure their answers from huge neural networks fed vast quantities of training data. They can exhibit remarkable linguistic and logical abilities, but traditionally struggle with surprisingly simple problems such as rudimentary math questions that involve reasoning. ........ Reinforcement learning has enabled computers to play games with superhuman skill and do useful tasks like designing computer chips. The technique is also a key ingredient for turning an LLM into a useful and well-behaved chatbot. ....... “The [new] model is learning to think for itself, rather than kind of trying to imitate the way humans would think” .......... OpenAI says its new model performs markedly better on a number of problem sets, including ones focused on coding, math, physics, biology, and chemistry. ......... The new model is slower than GPT-4o, and OpenAI says it does not always perform better—in part because, unlike GPT-4o, it cannot search the web and it is not multimodal, meaning it cannot parse images or audio. .......... In July, Google announced AlphaProof, a project that combines language models with reinforcement learning for solving difficult math problems. ....... “I do think we have made some breakthroughs there; I think it is part of our edge,” Chen says. “It’s actually fairly good at reasoning across all domains.” ......... Noah Goodman, a professor at Stanford who has published work on improving the reasoning abilities of LLMs, says the key to more generalized training may involve using a “carefully prompted language model and handcrafted data” for training. He adds that being able to consistently trade the speed of results for greater accuracy would be a “nice advance.”

London shopkeeper thought Amitabh Bachchan couldn't afford a £120 tie. Here's how he taught him a lesson
U.S. Latino economic output grows to $3.6 trillion, new report finds “There is no doubt that the U.S. Latino economy is a formidable force, characterized by strong GDP growth, significant population expansion, high workforce participation, and increased educational achievements” ........ “This is not a matter of diversity and inclusion; it is a critical business strategy”........

Hispanic household wealth has tripled over the last decade

........... Latinos lost up to two-thirds of their median household wealth in the wake of the Great Recession. ........... a forecast for the U.S. Latino economy through 2029. It shows the cohort’s economic output will surpass Japan’s by 2024 and Germany’s by 2027 ........ “A young Latino in the U.S. turns 18 every thirty seconds.”



Something New: On OpenAI's "Strawberry" and Reasoning It is amazing, still limited, and, perhaps most importantly, a signal of where things are heading......... In fact, it can now beat human PhD experts in solving extremely hard physics problems.......... The AI “thinks” about the problem first, for a full 108 seconds (most problems are solved in much shorter times). You can see its thoughts ........ GPT-o1 does things that would have been impossible without Strawberry, but it still isn’t flawless: errors and hallucinations still happen, and it is still limited by the “intelligence” of GPT-4o as the underlying model .....

Using GPT-o1 means confronting a paradigm change in AI.

Raining Cats And Dogs @KamalaHarris @KamalaHQ @realDonaldTrump @realDogsHouse @contextdogs #KamalaHarris pic.twitter.com/rBa9cZfHk4

— Paramendra Kumar Bhagat (@paramendra) September 12, 2024