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

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20: AI

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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

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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.”

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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

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18: AI

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The Myth of Neutrality Countries Will Have to Choose Between America and China ........ This is not a choice that most countries wish to make. Over the past decades, foreign capitals have come to enjoy security and economic benefits from association with both the United States and China. These countries know that joining a coherent political-economic bloc would mean forgoing major benefits from their ties to the other superpower. ....... The message to Washington and Beijing is clear: no country wants to be forced into a binary decision between the two powers. ........ The United States has hastened to reassure its allies that it feels much the same. .......... Even the United States would not join such an arrangement if it required ending its economic relationship with China, which would come at a tremendous cost. ........... The U.S.-Chinese competition is an inescapable feature of today’s world, and Washington should stop pretending otherwise. ............ Washington played hardball. The Trump administration even went as far as to suggest to Poland that future U.S. troop deployments might be at risk if Warsaw worked with Huawei. The U.S. government warned Germany that Washington would limit intelligence sharing if Berlin welcomed Huawei; not long after, the Chinese ambassador to Germany promised retaliation against German companies if Berlin barred Huawei. Europe’s largest economy was caught between its top two trading partners. ........... The Biden administration has signaled its desire to outstrip China in the development and production of semiconductors, quantum computing, artificial intelligence, biotechnology, biomanufacturing, and clean energy technologies. To do so, Washington will need to build domestic capacity in each area and limit China’s ability to race ahead. Countries with niche capabilities will be caught between Beijing, which wants these technologies, and Washington, which wants to minimize Chinese access to them......... Already, Washington and Beijing are competing for the loyalties of Pacific Island states, although the contest in countries like the Marshall Islands, Micronesia, and Papua New Guinea has thus far produced a bidding war rather than a series of forced choices. .......... U.S. threats to cut countries off from intelligence sharing if they used Huawei—which supplied an all-in-one 5G network at a lower cost than anything the West could provide—were ineffective. ............ A sense, however, that the United States will be absent, noncommittal, or incompetent when the going gets tough will tempt them to align with or simply acquiesce to China’s preferences.

This former CEO cut her 70-hour workweek down to 30 with 3 productivity hacks—start with ‘tossing your to-do list’

My entire $4M business plan:

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ChatGPT and Bard Get New AI Chatbot Rival: Anthropic Debuts Claude 2 The new AI chatbot is available to people in the US and UK in open beta. Here's how to try it.

Claude 2 Claude 2 scores above the 90th percentile on the GRE reading and writing exams, and similarly to the median applicant on quantitative reasoning....... Think of Claude as a friendly, enthusiastic colleague or personal assistant who can be instructed in natural language to help you with many tasks. ........ Users can input up to 100K tokens in each prompt, which means that Claude can work over hundreds of pages of technical documentation or even a book. Claude can now also write longer documents - from memos to letters to stories up to a few thousand tokens - all in one go. ....... One of our partners is Jasper ........ They found that Claude 2 was able to go head to head with other state of the art models for a wide variety of use cases, but has particular strength for long form low latency uses. "We are really happy to be among the first to offer Claude 2 to our customers, bringing enhanced semantics, up-to-date knowledge training, improved reasoning for complex prompts, and the ability to effortlessly remix existing content with a 3X larger context window"

. We’ve expanded Claude’s context window from 9K to 100K tokens, corresponding to around

75,000 words!

This means businesses can now submit hundreds of pages of materials for Claude to digest and analyze, and conversations with Claude can go on for hours or even days. .......... The average person can read 100,000 tokens of text in ~5+ hours[1], and then they might need substantially longer to digest, remember, and analyze that information. Claude can now do this in less than a minute. ......... You can drop multiple documents or even a book into the prompt and then ask Claude questions that require synthesis of knowledge across many parts of the text. ........ Claude can follow your instructions and return what you’re looking for, as a human assistant would! ....... 100K translates into roughly 6 hours of audio ......... Assess the pros and cons of a piece of legislation ......... Rapidly prototype by dropping an entire codebase into the context and intelligently build on or modify it

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"How much do you need to be financially free?"
My mentor asked.

10 years ago, I would have said 50K a month.
Today I'm fine with $7.5K

Your freedom number is the amount you need to live a great life.
Everybody has a different number based on their lifestyle.

What's yours? pic.twitter.com/cwLaTrHn83

— Virgil Brewster (@thevirgilbrew) July 12, 2023

How to grow an audience on Twitter:

2020: Memes
2021: Copy/paste Wikipedia articles
2022: Shitpost
2023: ?

— Charlie Light (@charliewrich) July 12, 2023

When someone tells me they "hate" Tucker Carlson or Andrew Tate I ask them "when was the last time you watched a 10+ minute segment with them?"

The answer is basically always "never"

If you "hate" either of these men you should watch this https://t.co/72ue5GV4uo

— Shaun Maguire (smc.eth) (@shaunmmaguire) July 12, 2023

The 10 mins test is a good one

— Elon Musk (@elonmusk) July 13, 2023

Here's my conversation with Benjamin Netanyahu (@netanyahu), Prime Minister of Israel, currently serving his 6th term in office. He is one of the most powerful and controversial men in the world. We talk about war, power, hate, corruption, and peace. https://t.co/hqnLxjHuhS pic.twitter.com/xuZ9OEvmdG

— Lex Fridman (@lexfridman) July 12, 2023

It is well-known that Putin travels around Russia in a private armored train. The Kremlin often publishes images of meetings in the luxurious boardroom on board.

Now, thanks to the @dossier_center, we know what another of the train’s cars looks like on the inside

🧵1/14 pic.twitter.com/KxiOTxzcaX

— Mikhail Khodorkovsky (@khodorkovsky_en) July 12, 2023

The fourth turning is over.

We’re going to get immaculate disinflation.

Russia will lose the war.

China will stagnate and not invade Taiwan.

AI will give us a massive productivity boom.

Fission/Fusion/batteries will give us cheap clean energy.

We are going to the stars. pic.twitter.com/uYV6V3xjMU

— Axial Wanderer (@EricWollberg) July 12, 2023

🚨 BREAKING: Elon Musk and Twitter just announced their new AI company, xAI.

The goal of xAI is to understand the true nature of the universe.

The team previously worked at DeepMind, OpenAI, Google Research, Microsoft Research, Tesla, and the University of Toronto. pic.twitter.com/VAyS5aBcd4

— Rowan Cheung (@rowancheung) July 12, 2023

Hanlon’s razor says “Never attribute to malice that which is adequately explained by stupidity.”

In a similar vein, be wary of assuming smart people are doing dumb things because they have a complex multi-step plan you can’t understand. Most of the time, it is just a dumb thing.

— Ethan Mollick (@emollick) July 13, 2023

It’s not AGI until it can solve at least one fundamental physics problem

— Elon Musk (@elonmusk) July 13, 2023

Announcing formation of @xAI to understand reality

— Elon Musk (@elonmusk) July 12, 2023

Really struggling to understand reality these days🙃 pic.twitter.com/H6TlNdhpOO

— Eka Lestienne🌷 (@ekavibes) July 12, 2023

pic.twitter.com/Y9ioOHidGx

— AI Notkilleveryoneism Memes (@AISafetyMemes) July 12, 2023

I dont even know what reality means anymore. pic.twitter.com/KcN0Dtd6hH

— Sebastian (@SebasSpace1) July 12, 2023

https://t.co/ruc5SAmodB

— Annie所长.ai🎙｜@Nswap ❤️ (@web3annie) July 12, 2023

Zuckerberg be like ... pic.twitter.com/h9rRgFXcHU

— Irina ₿. Heaver (@IrinaHeaver) July 12, 2023

Please dm me if there’s anything I can do to help. I would even consider changing my name to greX

— greg (@greg16676935420) July 12, 2023

Elon Musk vs the Matrix 🎨 pic.twitter.com/De5gjrDxNw

— Misha Fitton (@MishaFitton) July 12, 2023

What are the most fundamental unanswered questions?

— xAI (@xai) July 12, 2023

24: AI

On giving AI eyes and ears AI can listen and see, with bigger implications than we might realize. .

Power and Weirdness: How to Use Bing AI Bing AI is a huge leap over ChatGPT, but you have to learn its quirks ...... Bing adds something special - it is connected to the internet. ......... Bing is at its most powerful, and most different from ChatGPT, when it is looking up data and connecting diverse sets of information together. It is often a startling good data analyst, marketer, and general business companion. ........ I would also warn teachers that Bing is much more capable than ChatGPT, as it is capable of drawing interesting connections between unusual topics (I think I asked for the first essay ever comparing themes in Avatar and Hamlet, and it did a good job!). If ChatGPT got a B- in many classes, Bing is likely to get an A-. ..........

Bing is immensely more powerful than ChatGPT, but also a lot weirder to use

.

It is starting to get strange. Let's talk about ChatGPT with Code Interpreter & Microsoft Copilot ........ Code Interpreter is GPT-4 with three new capabilities: the AI can read files you upload (up to 100MB), it can let you download files, and it lets the AI run its own Python code. This may not seem like a huge advance, but, in practice, it is pretty stunning. And it works incredibly well without any technical knowledge or ability

(I cannot code in Python, but I don’t need to).

........... Code Interpreter has turned GPT into a first-rate data analyst. ....... It is capable of independently looking at a dataset, figuring out what is interesting, developing an analytical strategy, cleaning data, testing its strategy, adjusting to errors, and offering advice based on its results. .......... I think we are going to see massive changes coming to academic publishing soon, as journals struggle under the weight of these sorts of real, but automatically generated, papers. .

How to... use ChatGPT to boost your writing The key to using generative AI successfully is prompt-crafting ......... isn’t a human that you are giving instructions to. It is a machine you are programming with words. ........ I do this myself, saying “please” and “thank you” in my requests, even though the AI doesn’t care. ........... they need to spend time doing “prompt engineering:” editing and playing with prompts to come up with the results they want. These prompts can get very elaborate, and can often seem abstract, or almost poetic. .......... More elaborate and specific prompts work better. .......... write an essay with the following points. use an academic tone. use at least one clear example. make it concise. write for a well-informed audience. use a style like the New Yorker. make it at least 7 paragraphs. vary the language in each one. end with an ominous note. -Humans are prone to error -Most errors are not that important -In complex systems, some errors are catastrophic -Catastrophes cannot be avoided ........... Often, the best option is to give ChatGPT amnesia: start a new chat and try again. ........ You will get different results from asking for an academic essay versus a persuasive article versus a blog post versus a corporate memo. ......... You can have the AI play characters by prompting it to think of itself as a chef, or a novelist, or Plato. This can lead to delightful results. ....... ChatGPT it is far from the all-knowing AI that the movies taught us to expect. But as a tool to jumpstart your own writing, multiply your productivity, and to help overcome the inertia associated with staring at a blank page, it is amazing. ....... .

Russia says Wagner Group’s leader will move to Belarus after his rebellious march challenged Putin Switching into Russian in his daily video address, Zelenskyy said “the man from the Kremlin” was “very afraid.” He repeated his calls for the West to supply Ukraine with F-16 fighter jets and ATACMS tactical ballistic missiles........ In announcing the rebellion, Prigozhin accused Russian forces of attacking the Wagner camps in Ukraine with rockets, helicopter gunships and artillery. He alleged that Gen. Valery Gerasimov, chief of the General Staff, ordered the attacks following a meeting with Shoigu in which they decided to destroy the military contractor. ....... “Russian troops in Ukraine may well now be operating in a vacuum, without clear military instructions, and doubts about whom to obey and follow,″ Lutsevych said. “This creates a unique and unprecedented military opportunity for the Ukrainian army.” ..... Latvia and Estonia, two NATO countries that border Russia, said they were increasing security at their borders.



Russian mercenary boss Prigozhin to move to Belarus under Wagner deal, Kremlin says

Wagner chief Prigozhin says he's accepted truce brokered by Belarus Prigozhin said on his official Telegram channel that he had agreed to turn his mercenary forces back, "realizing all the responsibility for the fact that Russian blood will be shed." He said his forces had marched to within 120 miles of Moscow without shedding a "single drop of the blood of our fighters." ....... Wagner troops had "seized another city halfway to Moscow."

Rebel Russian mercenaries turn back short of Moscow 'to avoid bloodshed' Yevgeny Prigozhin, a former Putin ally and founder of the Wagner army, said his men reached within 125 miles (200 km) of the capital. Earlier, Moscow deployed soldiers in preparation for their arrival and told residents to avoid going out. ....... The Wagner fighters captured the city of Rostov hundreds of miles to the south before racing in convoy through the country, transporting tanks and armoured trucks and smashing through barricades set up to stop them ......... "Understanding ... that Russian blood will be spilled on one side, we are turning our columns around and going back to field camps as planned." ........ Lukashenko had offered to mediate because he had known the mercenary leader personally for around 20 years. ........ Wagner's lightning insurrection appeared to develop with little pushback from Russia's regular armed forces, raising questions about Putin's hold on power in the nuclear-armed nation even after the abrupt halt to Wagner's advance. Earlier, Prigozhin said that what he called a "march for justice" was intended to remove corrupt and incompetent Russian commanders he blames for botching the war in Ukraine. ...... In a televised address from the Kremlin, Putin earlier said the Wagner rebellion put Russia's very existence under threat. .......

Mafia is as mafia does. Whatever deal was reached today, blood has been spilled and Putin's illusion of invincibility is gone. He and his cronies tasted real fear. Moscow was threatened. https://t.co/3QoDY17uba

— Garry Kasparov (@Kasparov63) June 24, 2023

Name a city more beautiful than this. pic.twitter.com/VK5gUqcKUs

— Andrew Yeung (@andruyeung) June 24, 2023

Twitter is at its most interesting, most vibrant and - perhaps most important - crucial source of real time news and commentary it has ever been right now.

— Sriram Krishnan - sriramk.eth (@sriramk) June 24, 2023

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