AISHE AI: Autonomous Agent for Earning Money

Let’s say you’re handed a puzzle box with millions of tiny, shifting pieces. Some are labeled “market trends,” others “human psychology,” and a few just scream “chaos.” For decades, Wall Street’s sharpest minds tried to solve this puzzle using financial theory, gut instincts, and spreadsheets thicker than a phonebook. Then came Feng Ji, a computer scientist with no finance background, who looked at the box and said, “Why not teach it to solve itself?”   The Algorithmic Takeover: Why Traditional Quant Funds Face Extinction Feng’s company, Baiont, isn’t your typical hedge fund. Imagine a team of 30 people - mostly twentysomethings with gold medals from coding competitions - managing $970 million without ever touching a stock report . They don’t care about quarterly earnings calls, CEO resignations, or whether Elon Musk tweets about dogecoin at 3 a.m. Instead, they’ve built an AI that treats financial markets like a giant game of whack-a-mole : predict where prices pop up next, then...

Enterprise AI: Autonomous Agents at Work Welcome to the era of AI agents - the invisible assistants transforming companies from the inside out. Image unsplash Why Settle for a Chatbot When You Could Have a Genius Intern? You’ve probably met chatbots. They’re the digital equivalent of a polite intern who answers FAQs. But AI agents? They’re the overachieving interns who not only answer questions but also solve problems - like figuring out why your sales pipeline has a leak or rewriting your résumé while you nap.   Think of an AI agent as a Swiss Army knife with a PhD . It doesn’t just generate text; it acts . For example, feed it an API for real-time stock prices, and suddenly it’s whipping up scripts to track Tesla’s latest dip or Amazon’s surge - all without you lifting a finger. It’s like having a financial advisor, data analyst, and coding whiz rolled into one tireless sidekick.   But here’s the kicker: One agent can’t rule them all . Just as you wouldn’t ...

Shifting Away from the Traditional Interpretation Traditionally, the term "Intelligence Industry" has been closely associated with intelligence agencies and secret services that gather, analyze, and utilize information to gain political or military advantages. This interpretation is focused on secrecy and power. The New Perspective: Knowledge as the Core The new perspective of the "Knowledge Industry" places the term "intelligence" in a broader context. Here, it's not primarily about secrets but about knowledge, information, and understanding . The "Knowledge Industry" encompasses all areas where knowledge is created, managed, disseminated, and used. This spectrum ranges from basic research to the development of new technologies, as well as the application of knowledge in business and society. Focus on Knowledge, Information, and Understanding Knowledge creation: This involves generating new knowledge through research, development, and...

So, you've heard the term "open-source AI," right? It sounds pretty magical, doesn't it? Like a secret society of tech wizards sharing knowledge and creating a utopia of innovation. Well, let's burst that bubble. Open Source AI: The New Magic Trick That's Not Quite Magic You see, there's this group called the Open Source Initiative (OSI). They're the self-appointed guardians of the open-source universe. They've recently unveiled their definition of open-source AI, and it's not what you might think. Imagine a magician pulling a rabbit out of a hat. That's what some tech companies like Meta are trying to do with their AI models. They wave their wands, shout "open-source," and voilà , they're hailed as the saviors of AI. But if you look closely, you'll see that the rabbit is actually a well-trained corporate puppet, and the hat is full of legal jargon. The OSI, however, is not impressed. They're like the magicians...

A Tale of Gigantic Chips, Geopolitical Tension, and the Quest for A.I. Dominance So, let's talk about Cerebras. You know, that little startup that's trying to take on Nvidia, the company that basically owns the entire A.I. chip market. It's like a David-and-Goliath story, except David here is armed with a gigantic chip the size of a pizza. Cerebras: The Silicon Valley Startup Trying to Outsmart Nvidia Now, you might be wondering, "Why would anyone want to challenge Nvidia? They're like the kings of A.I. chips." Well, it turns out, there's a lot of money to be made in the A.I. world. It's like the Wild West, but instead of cowboys and guns, we have engineers and algorithms. Cerebras's strategy is simple: build a bigger, better chip. It's like saying, "I'm going to make a bigger pizza than you, and it's going to be so much tastier." But instead of pizza, we're talking about supercomputers that can process data faster than...

You are faced with a huge puzzle. Each piece represents a capability of an AI model. How would you find out which model is best? Which puzzle is the most complete? This question is troubling researchers and developers in the field of artificial intelligence - and EUREKA finally provides answers.   EUREKA: A revolution in the evaluation of AI models   The problem with supermodels Large language models such as GPT-4 or DALL-E impress us every day with their capabilities. But how good are they really? Previous evaluation methods often resemble a beauty contest: a winner is chosen, but the finer details remain in the dark.     EUREKA: The X-ray vision for AI This is where EUREKA comes in. This new open source framework revolutionizes the way we evaluate AI models:   In-depth analysis  : Instead of superficial rankings, EUREKA provides detailed insights into the strengths and weaknesses of each model. Challenging benchmarks  : EUREKA-B...

Artificial intelligence models are typically used online, but a variety of freely available tools are changing that. local AIs are trending. AI - Why local models are the future The website histo.fyi is a database of structures of immune system proteins called major histocompatibility complex (MHC) molecules. It contains images, data tables, and amino acid sequences, which uses artificial intelligence (AI) tools called large language models (LLMs) to transform these assets into readable summaries. But he doesn't use ChatGPT or any other web-based LLM. Instead, he runs the AI on his laptop.   In recent years, chatbots based on LLMs have been praised for their ability to write poetry or hold conversations. Some LLMs have hundreds of billions of parameters—the more parameters, the more complex—and are only accessible online. But two recent trends have emerged. First, organizations are creating “open weights” versions of LLMs, where the weights and biases used to train ...

There's a party atmosphere in the hallowed halls of science. The International Conference on Machine Learning (ICML) in Vienna is not just a meeting place for researchers, but a veritable vanity fair for the tech industry.  Where 30 pioneers once discussed the future of artificial intelligence, there are now almost 10,000 participants.  What happened? The ICML is like a fairground for the recruitment of Google, Meta and Microsoft.   From niche to mainstream Thomas G. Dietterich, a veteran of the scene, sums it up: "For a long time, nobody paid any attention to us, but now everything is suddenly revolving around us." The turning point came in 2012, when a breakthrough in image recognition opened the door to a new era of AI. Since then, huge sums of money have been pouring into research, and the tech giants are vying for the brightest minds.     The big advertising The ICML is like a recruitment fair. Google, Meta and Microsoft host exclusive par...

The rise of artificial intelligence (AI) has been nothing short of meteoric in recent years, revolutionizing industries and creating new opportunities for professionals across the board. As AI continues to permeate various sectors, the demand for AI-skilled individuals has skyrocketed, making it a lucrative and exciting career path. AISHE: AI (artificial intelligence) The Increasing Prevalence of AI in the Workplace The adoption of AI technologies has surged in recent years, with a significant portion of businesses leveraging AI for various functions. In 2017, only 20% of businesses reported using AI for at least one aspect of their operations. By 2023, this figure had climbed to 55%, indicating a substantial increase in AI adoption across industries.   The Benefits of AI Adoption for Businesses Businesses that have incorporated AI into their operations have reaped numerous benefits. AI tools have proven to be instrumental in enhancing productivity, improving the quality of wo...

Artificial Intelligence has long been a complex and often daunting concept. Developing and implementing AI systems requires significant resources, technical expertise, or substantial investments in commercial software. Concerns about bias, hallucinations, job displacement, and the sheer scale of AI have often overshadowed its potential benefits. AISHE: A next-generation AI-powered home computer But what if there were a more manageable approach to integrating AI into our lives? Enter AI agents: smaller, more focused AI applications designed to tackle specific tasks. These agents offer a less disruptive way to harness the power of AI, providing a more gradual and controlled integration into the workplace. Think of AI agents as digital assistants working alongside humans rather than replacing them. These agents can automate routine tasks, freeing up human workers to focus on more creative and strategic endeavors. This concept is often referred to as "agentic workflows." We...

Have you ever wondered who rules the world of artificial intelligence? According to Stanford University's latest report, it's definitely not who you'd expect. Brace yourself for some revelations!   Once upon a time, AI was an exhilarating realm of scientific exploration. But now, it's more like a gold mine for those who are already swimming in riches. Stanford's AI Index Report 2023 , a 386-page magnum opus, sheds light on this reality. If you're looking for a some brainy bedtime reading, grab a copy!    To put it mildly, the report suggests that until 2014, public research institutions held the reins in developing major machine learning models. Fast forward to today, and the tech industry has hijacked the show. Last year alone, companies released a whopping 32 out of 35 new models, leading to a delightful re-concentration of power among tech giants. It's like a real-life version of "The AI Avengers" !   Remember when OpenAI's founding id...

As René Descartes, the father of post-medieval Western philosophy, once said, "Cogito ergo sum" - "I think, therefore I am." But what if thinking wasn't a unique human trait anymore? What if machines, with their ever-increasing intelligence and processing power, could not only mimic our thought processes, but surpass them? Welcome to the brave new world of Homo Appiens, where we have outsourced our thinking to machines and are gradually becoming dumber. Rene Descartes (Cogito Ergo Sum) From early calculators to smartphones that store all our contacts and schedules, we have steadily ceded control over our cognitive abilities to machines. Our devices have become so smart that they can now beat us at games like chess and Go, compose music, and even write news articles. We call this phenomenon artificial intelligence, or AI for short. Despite the many benefits of AI, such as increased productivity and cost savings, some experts worry that we are becoming too reliant...

As artificial intelligence (AI) systems like ChatGPT begin to disrupt our daily lives, the global race for innovation is accelerating. The greatest advancements are being made in the United States, China, and Europe. However, Africa is preparing to take its place and embrace the fourth industrial revolution. Despite facing significant challenges such as poverty, limited access to resources, and political instability, African nations are recognizing the potential of AI to address key issues such as healthcare, education, and agriculture. Many governments and private companies across the continent are investing in AI research and development, with the aim of creating innovative solutions tailored to the unique needs and circumstances of Africa. Challenges and Opportunities for AI in Africa One example is the African Institute for Mathematical Sciences (AIMS), a network of centers of excellence in mathematical sciences established in 2003 to develop talent in Africa. AIMS has re...