Personal AI buddy optimizing your longevity impact.

Longevity AI

PrivateAI Closes Strategic Round, Commences PGPT Trading On Public Markets, And Launches AI Crowdsourcing Platform To Make Breakthrough Life Extension Discoveries PRIVATEAI (PRIVATEAI.COM), a decentralized AI protocol co-founded by the serial entrepreneur and Forbes 30 under 30 Global Angel Versetti and led by the former executives of Fantom, Filecoin, Dogecoin and Syscoin, announced successful raise of Strategic Round for its token PGPT, with lead investors including Charlie Hu of Bitlayer, DAO Maker, Gains Associates, Dextools Ventures, Connectico Capital, DOGE.ORG, Stone Block Association, 32 Ventures, Lunar Digital Assets, Pinnacle VC, Samara Asset Group, Snova Capital, Meezan Ventures. Immediately after closing the round, PrivateAI’s native token PGPT was launched on the centralized cryptocurrency exchange Bitget, where it debuted with a 500% daily gain in the first 24 hours of trading. PrivateAI has also unveiled its AI-native distributed data platform that intends to build the world’s first domain-specific Large Language Model (LLM) for the longevity industry. Powered by the unique architecture of knowledge graphs that process and structure scientific and research data into logic and framework suitable for the machine learning industry, PrivateAI creates monetization opportunities and liquid markets for owners and producers of longevity-related datasets by rewarding them with its liquid and tradeable cryptocurrency PGPT. For companies building their own Generative AI, Large Language Models, and AI-powered data analytics, PrivateAI offers access to unique data from the collective scientific hive-mind and incubation services where a mix of capital and AI tech is employed to accelerate promising early-stage scientific projects. The ultimate goal of PrivateAI is to enable breakthrough discoveries in life extension, also known as longevity. Knowledge Graphs give AI-powered systems the ability to understand the wider context of the data that is fed to the machines, enabling AI systems to develop critical thinking, context awareness, and semantic analysis. Importantly, knowledge graphs become living, perpetually updated, and expanded entities as a crowdsourcing community of scientists, researchers, and data providers expand the knowledge. The platform thus becomes the backend for such areas of longevity as AI-based drug discovery, personalized medicine, genomic research, and deep analysis of aging processes. The ultimate dream of Angel Versetti is to harness the collective scientific knowledge and research to enable people to live longer or even forever, which will be essential for humanity if it hopes to travel beyond the Solar system and colonize other planets. “PrivateAI’s 60x oversubscribed public round followed by a 500% growth of PGPT on the first day of trading indicates there is a massive appetite for the more meaningful, transhumanistic applications of AI that help radically advance science. We are proud to pioneer use cases that others deemed to be impossible.” – said Angel Versetti after the launch. PrivateAI is building collaborations with leading longevity-focused scientific research communities worldwide, having started discussions with the research communities at Oxford University, where Angel Versetti studied for an MSc in Evidence-Based Healthcare. PrivateAI also built partnerships with Lifespan.io and Aging Research Drug Discovery (ARDD) scientific consortia focused on longevity. Angel Versetti a@privateai.com CC admin@privateai.com is available for further interviews. PrivateAI Closes Strategic Round, Commences PGPT Trading On Public Markets, And Launches AI Crowdsourcing Platform To Make Breakthrough Life Extension Discoveries PrivateAI Closes Strategic Round, Commences PGPT Trading On Public Markets, And Launches AI Crowdsourcing Platform To Make Breakthrough Life Extension Discoveries PrivateAI Closes Strategic Round, Commences PGPT Trading On Public Markets, And Launches AI Crowdsourcing Platform To Make Breakthrough Life Extension Discoveries PrivateAI Closes Strategic Round, Commences PGPT Trading On Public Markets, And Launches AI Crowdsourcing Platform To Make Breakthrough Life Extension Discoveries PRIVATEAI (PRIVATEAI.COM), a decentralized AI protocol co-founded by the serial entrepreneur and Forbes 30 under 30 Global Angel Versetti and led by the former executives of Fantom, Filecoin, Dogecoin and Syscoin, announced successful raise of Strategic Round for its token PGPT, with lead investors including Charlie Hu of Bitlayer, DAO Maker, Gains Associates, Dextools Ventures, Connectico Capital, DOGE.ORG, Stone Block Association, 32 Ventures, Lunar Digital Assets, Pinnacle VC, Samara Asset Group, Snova Capital, Meezan Ventures. Immediately after closing the round, PrivateAI’s native token PGPT was launched on the centralized cryptocurrency exchange Bitget, where it debuted with a 500% daily gain in the first 24 hours of trading. serial entrepreneur serial entrepreneur Forbes 30 under 30 Global Forbes 30 under 30 Global daily gain in the first 24 hours of trading. daily gain in the first 24 hours of trading. PrivateAI has also unveiled its AI-native distributed data platform that intends to build the world’s first domain-specific Large Language Model (LLM) for the longevity industry. Powered by the unique architecture of knowledge graphs that process and structure scientific and research data into logic and framework suitable for the machine learning industry, PrivateAI creates monetization opportunities and liquid markets for owners and producers of longevity-related datasets by rewarding them with its liquid and tradeable cryptocurrency PGPT. For companies building their own Generative AI, Large Language Models, and AI-powered data analytics, PrivateAI offers access to unique data from the collective scientific hive-mind and incubation services where a mix of capital and AI tech is employed to accelerate promising early-stage scientific projects. The ultimate goal of PrivateAI is to enable breakthrough discoveries in life extension, also known as longevity. AI-native distributed data platform AI-native distributed data platform Knowledge Graphs give AI-powered systems the ability to understand the wider context of the data that is fed to the machines, enabling AI systems to develop critical thinking, context awareness, and semantic analysis. Importantly, knowledge graphs become living, perpetually updated, and expanded entities as a crowdsourcing community of scientists, researchers, and data providers expand the knowledge. The platform thus becomes the backend for such areas of longevity as AI-based drug discovery, personalized medicine, genomic research, and deep analysis of aging processes. The ultimate dream of Angel Versetti is to harness the collective scientific knowledge and research to enable people to live longer or even forever, which will be essential for humanity if it hopes to travel beyond the Solar system and colonize other planets. “PrivateAI’s 60x oversubscribed public round followed by a 500% growth of PGPT on the first day of trading indicates there is a massive appetite for the more meaningful, transhumanistic applications of AI that help radically advance science. We are proud to pioneer use cases that others deemed to be impossible.” – said Angel Versetti after the launch. PrivateAI is building collaborations with leading longevity-focused scientific research communities worldwide, having started discussions with the research communities at Oxford University, where Angel Versetti studied for an MSc in Evidence-Based Healthcare. PrivateAI also built partnerships with Lifespan.io and Aging Research Drug Discovery (ARDD) scientific consortia focused on longevity. Angel Versetti a@privateai.com CC admin@privateai.com is available for further interviews. a@privateai.com a@privateai.com admin@privateai.com admin@privateai.com

PGPT Token Now Public: PrivateAI Completes Funding Round

PGPT টোকেন এখন পাবলিক: PrivateAI ফান্ডিং রাউন্ড সম্পূর্ণ করেছে

PGPT-Token jetzt öffentlich: PrivateAI schließt Finanzierungsrunde ab

El token PGPT ahora es público: PrivateAI completa la ronda de financiación

Le jeton PGPT est désormais public : PrivateAI termine le cycle de financement

पीजीपीटी टोकन अब सार्वजनिक: प्राइवेटएआई ने फंडिंग राउंड पूरा किया

PGPTトークンが一般公開：PrivateAIが資金調達ラウンドを完了

PGPT 토큰 공개: PrivateAI, 자금 조달 라운드 완료

Token PGPT agora público: PrivateAI conclui rodada de financiamento

Токен PGPT теперь общедоступен: PrivateAI завершает раунд финансирования

PGPT Tokeni Artık Halka Açık: PrivateAI Finansman Turunu Tamamladı

Mã thông báo PGPT hiện đã được công khai: PrivateAI hoàn thành vòng cấp vốn

PGPT 代币现已公开：PrivateAI 完成融资

Not only could the revolution in artificial intelligence technologies be an ally in the effort to help people live longer, healthier lives, but an international team of researchers are also suggesting that using AI and machine learning to explore biology may advance computing techniques. In a review published in the January issue of , the researchers outline how AI technologies are rapidly emerging as weapons in the fight against aging and for longevity. , CEO of , a company that pioneered the use of AI for aging research, and one of the paper’s authors said they wrote the review to boost collaborations between bringing AI developers and longevity scientists to help solve what was once thought to be an intractable part of human biology — aging. Aging Research Reviews Alexander Zhavoronkov Insilico Medicine “This is primarily intended to to help AI researchers focus on aging research and vice versa,” said Zhavoronkov. “We want to help bridge these two worlds and introduce concepts in the fight against aging.” In fact, the two fields can inform each other, he added. Using AI to study ways to extend the human lifespan can help AI developers learn how to make their previously black box AI more interpretable, he said, while training — or , a type of artificial neural network — can also give life scientists a more holistic view of biology. deep neural networks DNN As more data — and more diverse sets of data — are available, the researchers said that DNNs become increasingly powerful tools for exploring human biology and ageing. By introducing a concept of time into DNNs, it is also possible to infer causality. One of the key areas where AI can assist researchers who are investigating aging is by discovering biomarkers of aging and by identifying interventions, according to the researchers. Biomarkers are substances that signal the presence of some phenomenon, such as a disease or infection. For doctors, knowing the biomarkers of a disease can help them plan intervention strategies. “Not only can AI be used in identifying biomarkers and then following up with potential intervention strategies, but it can also track the effectiveness of those interventions, instead of just waiting for people to die to see how much the interventions can extend lifespan,” said Zhavoronokov. The researchers expect deep learning, an AI model that attempts to mimic how humans learn, called deep learning, which has equaled and even bested humans in playing video games and image recognition, will find a place in aging research, particularly in helping to uncover biomarkers of aging. While the field is young, the researchers are optimistic that the partnership between AI and longevity research will lead to profound changes in the treatment of aging. They expect the collaboration will improve the pipeline of drugs and interventions for treating aging, for example. Photo by on Rod Long Unsplash “One can expect that multidisciplinary approaches combining the ability of modern AI to generalize, learn strategy, generate new models, objects and data from learned features with accurate methods for feature extraction and causality analysis will lead to new applications in every area of preventative, regenerative and restorative medicine,” they write in their review. Zhavoronokov worked with Polina Mamoshina, researcher scientist in the Pharmaceutical Artificial Intelligence Department, Insilico Medicine and doctoral student in the Department of Computer Science, University of Oxford; Quentin Vanhaelen, senior researcher, Insilico Medicine; Morten Scheibye-Knudsen, associate professor in the Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen; Alexey Moskalev, affiliate faculty member in the school of system biology at George Mason University and Alex Aliper, president, Insilico Medicine.

AI and aging interventions may be a perfect match

What does the future of AI hold for us? This question is on everyone’s mind. The past couple of years have been crazy for AI - it’s disrupting almost every aspect of our lives - the way we do our work, create art, write, learn, teach, do business, or communicate. This is the era of LLMs and Generative Models trained on our data, built for humans by humans. The speed of disruption is making many of us question the regulatory concerns, ethical implications, and AI’s role in our everyday lives. This is the right time to discuss the fascinating and disruptive AI and its impact on our future! Gadfly AI and HackerNoon are super excited to bring our AI community Share your expertise, projects, research, or thoughts on all the exciting and/or (😉) scary realms of AI, LLMs, and Generative Art+Code. ‘The Future of AI Contest’. The contest starts on August 1st and ends on August 31st, 2023. The best stories and writers will be featured on The winner gets $1000! Gadfly AI’s Cyberscape Zine . How to Enter the Future of AI Writing Contest All you need to do is: about anything relevant to AI - LLMs, Generative Art+Code, AI Research, Securing AI, AI Regulation, AI Ethics, and more. Write a story Add the tag to your story and submit. #future-of-AI …That’s it! Need ideas to write? Here are a few suggestions by Gadfly AI Here are a few ideas shared by the sponsor in their prompt : 🌐 August of AI: Write About the Future of AI, Win $1000 with HackerNoon and GadflyAI 🤖 We're looking for submissions that explore the following topics: How Does AI Impact Art, Creativity, and Intellectual Property Identity and Ownership: Share your thoughts, ideas, and perspectives on how AI is impacting society. Discuss the potential benefits, risks, and challenges AI presents, or explore the philosophical implications of intelligent machines. This can be everything from how AI can be used for social good (or destruction) to how we build trust chains in a generative supply gain. Showcase your AI-inspired generative artworks. Demonstrate the symbiosis between art and code in the realm of artificial intelligence. Generative Art+Code: Enlighten our readers with your expertise in AI research. Whether you're studying the latest breakthroughs in machine learning or investigating the ethical implications of AI, we want to hear from you. AI Research Papers/Reviews: We're interested in your thoughts on how rapidly emerging technologies should be consumed by end users when tech moves faster than regulation. How should society adapt to these rapid changes? What are the potential implications and how can they be mitigated? Disruptive AI: Based on the insights from , we're also interested in submissions that discuss the security aspects of AI. How can we ensure the longevity and trustworthiness of AI? What are the unique security challenges posed by AI, and how can they be addressed? Securing AI: Securing AI: Concerns & Immune Systems for Emerging Technologies Need extra help? Here are a few interview templates shared by our editors. Simply fill out the interview of your choice, add a future-of-ai tag, and submit! AI tools vs. programmers AI as a learning tool AI-Generated Art as a New Artform Classification The Future of AI Writing Contest Rules & Guidelines You must be 18+ to enter. Story content can be any original story on the . #future-of-ai You must , as winners will be contacted via email. create a HackerNoon account Can I write under a pen name? Yes! You can use your real name on your HN profile, or even create a persona to write under. How long will the contest run? August 1st - August 31st, 2023 Round 1: September 2023 Winner Announcement: Can I submit more than one entry to the contest? Of course, you can! Each story submission shall be considered a new entry into the writing contest. How are the winners selected? We’ll take the top 10 story submissions factoring in originality, relevance, reads, and reading time. Those ten stories will be voted on by HackerNoon staff, and the top story with the most votes will win. We are waiting for your submissions! All the best, hackers! Visit to keep updated with the new and upcoming writing contests. contests.hackernoon.com

The Future of AI Writing Contest by Gadfly AI

গ্যাডফ্লাই এআই দ্বারা এআই লেখার প্রতিযোগিতার ভবিষ্যত

Die Zukunft der KI-Schreibwettbewerb von Gadfly AI

Concurso de escritura El futuro de la IA de Gadfly AI

Concours d'écriture sur l'avenir de l'IA par Gadfly AI

गैडफ्लाई एआई द्वारा एआई लेखन प्रतियोगिता का भविष्य

Gadfly AI による AI の未来ライティング コンテスト

Gadfly AI의 AI 글쓰기 콘테스트의 미래

Concurso de redação sobre o futuro da IA por Gadfly AI

Gadfly AI'dan Yapay Zekanın Geleceği Yazma Yarışması

Cuộc thi viết về tương lai của AI bởi Gadfly AI

Gadfly AI 的人工智能未来写作比赛

Tech Poetry I find it kind of funnyI find it kind of sadWe live our lives onlineOften getting mad We listen to the newsDesigned to make you blueBut we can forgetAbout the Facebook flu Seeing all your friendsLiving such a lifeSuch beautiful picturesSuch a pretty wife But that’s not my storyEverything’s not wellUnlike all my friendsMy life’s gone to hell My pics just aren’t pictureMy vaca was blandWhat does that say about meAm I a lesser man? Take a second nowDoes this sound like youIs Something of a screw social media Piercing your poor mindCreating pain and sorrowForcing you to watchTo forget about tomorrow To pretend to liveTo passively observeYour life could be so much moreIf you’d only learn to swerve Get outside those tracksSocial isn’t rightIt’s designed to haunt youLong into the night Constant notificationsIt’s not good for youA life of comparisonsWill always make you blue Wanting to impressYou always dress your bestThe problem with that lifeThere’s never any rest There’s always someone smarterA better body tooAnd that guy who’s richerWhat does that say about you? It actually says nothingOnly if you careWhen you worship othersYou place yourself down there There are some games in lifeMany actuallyDesigned without a winnerFor painful harmony Those games make real moneyContinuous useBecause what they don’t tell youPeople crave abuse It’s part of our natureTo see our major “flaws”That’s what often happensWhen you’re in Zuckerberg’s claws They hire real smart folksTo make you feel like shitThey make a ton of moneyAnd get away with it And it is addictiveA never ending scrollFeeling alienatedThat will take a toll Talk about a beatingTalk about a viceNext time you think socialI hope that you think twice I know this sounds extremistYou make think it’s a jokeBut as the facts come itThere’s a lot of smoke This type of isolationIt’s cancer for a nationCreating filter bubblesAnd greater separation Misinformation’s rampantThe truth is up for grabsWe’re living in the With platforms keeping tabs Matrix They know everything about youControl your every whimAre ruining electionsAnd run just like a sim And sure social media’s badBut the problem’s bigger stillWhen advertising’s dominantOn every windowsill Watching what you doTracking who you areJust to tell your phoneWhere to fill your car Content is kingThat’s what they sayMaybe that was trueIn a different day Today attentionThat trumps allAnd to be successfulHumanity might fall In a world of opinionOnly one way to stand outTo stand upon a sidewalkAnd scream and fucking shout That’s the state of mediaClickbait everywhereWhat happened to integrityThese companies don’t care As long as people readAs long as people watchEven conspiracy theoristsCan sell a sparkly Swatch So remember when you’re readingWhen you’re living lifeThe advertising powersAre trying to sell strife Manipulate your mindAddict you to your phonesAnything at allJust to fill their homes So should you quit social?That’s not the point at allJust remember when you’re usingThey want you to fall Into the abyss of addictionTo become more extremeTo spend your time and moneyTo forget about your dream When you see the MatrixThen you understandWhat they’re doing to youAnd how to beat the man You can live your lifeOn the terms you setIf you don’t let othersTell you when to fret If you can controlYou information flowYou’ll find the world is betterRegardless where you go So mute your notificationsAnd take a little timeTo think about these wordsAnd why things always rhyme Now go and have some funDance in the sunLive your life to the fullestYou are your number one. Hope you got something out of this and it makes you think outside the box. If you enjoyed this, please Clap it up and subscribe to my newsletter to get more great articles and occassional event invites. And if these topics interest you, be sure to subscribe to , the podcast where I bring the world’s top minds in AI, genetics, space, longevity, ethics and more to discuss the direction of humanity and the big problems facing all of us. Fringe.FM You can subscribe on iTunes | Stitcher | Overcast | Google Podcasts | Spotify | Youtube or any other Android app/player . If you got something actionable or valuable from this post or are excited about the round table, go ahead and “Clap” below .

The Unsocial Media Matrix

A poem to challenge the status quo and empower all of us The world is changingFaster than everTime is compressingAs speedsProgress is staggeringYet also unequalBut drive too fastAnd we forget those we pass technology Innovation is the answerIt is and always wasFrom fire to farmingFrom medicine to marketsHumanity’s had a great runBut don’t you worryOur run is far from done The end of civilizationLoss of reason always causesThe only question nowIs what is this season Creativity killed the catA terrible saying indeedIs innovation a thing to avoidScience not a thing to heedTalk about stupidity and greed Fake news is a problemThat you already knowA bigger problem stillIs where are we to goOur systemIs crumbling at the seemsWe teach our children nothingBut manage to quash their dreamsA factory job for youOr maybe a coal mineWe’ll stick you in a cubicleAnd make you count the timeMaybe then you’re worth itMaybe that’s all there isBut let’s be fucking seriousWe all deserve better than this education Do what you loveIt’s an old clicheBut there’s more truth in itThan anything a politician will sayThe nature of work is changingEveryone can seeBut why is that a bad thingAre cubicles so grandIn a world of connectednessOpportunity’s in your hand The beauty of workIs that you can createGandhi said to “be the change…”And now a future you can makeForget what they tellIt is all a load of liesThe worst part about “good advice”Is that they really tryBut we’re all individualsEveryone uniqueSkills and interests and passionsAre things we HAVE to keep Can we reinvent a wayTo teach our children rightOne without meaningless problemsKeeping them up at nightA way to performanceNot riddled with RitalinSomething unique to themYet well-rounded tooIs it too much to askFrom folks like me and you We certainly have the moneyBut do we have the willIs there anything more importantIt is hard to see whatBut I’ll be honestIt’s all fun and gamesTil we cut military spendingTo build an army of brains Thinking critically, the ability to problem solveThat’s what makes us humanSo why are we starting to devolveFeels like we’re going backwardsAs technology races onIs this all there isWill we learn to carry on It is becoming more dividedPolitics can’t uniteInstead we’re quickly runningTowards a world without lightWhen did the land of freedomBecome a game of chanceWhere the parents you were born toSaid if you got to learn, play and dance Imagine a world without learningA bleak prospect indeedYet imagine something still worseA world where you’re forced to readBooks that are boringSubjects without meritHomework and exams with one purposeTo order us in a lineNot something relevantNo, no you seeJust picking a numberIs good enough for meFor that’s what you areJust a number in lineThe factory needs workersSociety says that’s fineSo grab your golden ticketJust 12–16 more yearsPlenty of time to learnAbout suppressing tearsAnd then there’s the debtIt’s monopoly money they sayUntil you find outIt is never going awayThere’s no forgivenessThe collector’s are like sharksThere’s no escape‘Cept a shit job in the darkAnd talk about passionIt’s been purposefully killedDreams spayed and neuteredNo chance to growNo chance for innovationNo chance to knowWhat could have beenHow the world could have changedIf someone had just given you a hand Fuck this I sayGet your head out of the sandEven an ostrich could seeThis system is crippling manCreativity and passionPurpose and oomphThe world of tomorrowTakes no prisoners chumpIt is up to youSociety can’t tryWhen we come to togetherOur dreams go to dieSo I have a challengeOne short little thingWhat is the life wantThe one that would make you singSpontaneous excitementWonderous applauseI’m dancing and singingFor an important causeWhat is it for youThink hard my friendYou life is on the line Success and happinessThey’re one in the sameThey’re following your life’s purposeAnd creating your own gameSo if this does anythingI hope it makes you thinkIs that white picket fence Really all you thinkOr is there more in storeThat I don’t knowBut if you follow someone else’s pathYou are sure to forgoEverything of substancePurpose and meaning too I wish you luck my friendI’d help you if I couldBut the only path to greatnessIs setting out from shoreExploring new landsAnd changing as you go. Hope you got something out of this and it makes you think outside the box. If you enjoyed this, please Clap it up and subscribe to my newsletter to get more great articles and occassional event invites. And if these topics interest you, be sure to subscribe to , the podcast where I bring the world’s top minds in AI, genetics, space, longevity, ethics and more to discuss the direction of humanity and the big problems facing all of us. Fringe.FM You can subscribe on | | | | | or . iTunes Stitcher Overcast Google Podcasts Spotify Youtube any other Android app/player If you got something actionable or valuable from this post or are excited about the round table, go ahead and “Clap” below .

Education — A Tragedy

HackerNoon Reporter: Please tell us briefly about your  background. Working in the technology industry for 10+ years by adapting to changes in it, I have worked in 50+ different programming languages by developing and deploying in most cases at least one project per language. That allowed me to break the language barrier and absorb the diversity of technology. I am Founder at BreatheIO, PGP AI/ML Data Science, Full Stack Developer, Hardware Engineer, Philosopher and Author of Make me a Programmer: The Independent Entrepreneur. Most recent qualification is a Post-Graduation in AI/ML from the University of Texas at Austin. What's your startup called? And in a sentence or two, what does it do? My startup is called BreatheIO. BreatheIO is a Smart Air Purifier that utilizes the power of Artificial Intelligence to reduce and control air pollution, increasing the longevity of human life. What is the origin story? It all started back in 2015, when I encountered the first happenings of smog in Pakistan. It was fog at first, the very beauty that dims the street lights by diffusing it making it perfect for night life candid photography, but there was a catch to it. It reeked of the smell of diesel. The smell was awkward but it really didn’t bother me. I used to offer voluntary service at the children’s hospital at that time. Usually we had cases mostly related to stomach, but with the very appearance of this new ghost in our city, it wasn’t much time that cases of throat infection, bronchitis and chest congestion started coming in for children under 6 months of age. Next year, we had more and more cases this time involving adults, and it took till 2018 for the world to realize that we are undergoing climate change. The awareness was there but no one explicit enough was working on a solution. There is the theory known as the chaos theory which states that the randomness of chaotic systems which make it complex have underlying patterns or connectedness, a kind of self-organization. The butterfly effect is one of its principles that describes that small changes in one state of a chaotic non-linear system can result in large differences in later state. A metaphor would be that a butterfly flapping its wings in Lahore can cause a hurricane storm in China. Therefore, putting that principle to practice, I started searching instruments that could fix the air pollution. I found air purifiers but after going through the reviews and feedbacks of their users, people bought it but were unable to verify whether it was actually changing their environment or not. It’s like when you have a fever you need an instrument to tell you how hot you are. They had to go buy an extra instrument to monitor the change in the environment. This is where BreatheIO was born. BreatheIO is a Smart Air Purifier that utilizes the power of Artificial Intelligence to reduce and control Air Pollution. The standards of air quality measured are based on the sampling of air with respect to the amount of 2.5 micron-sized particles in it for a given sampling time. Your single hair is around 50 microns in diameter. This is quite an inaccurate measure of air quality and our smart air purifiers at BreatheIO base their air quality measures on the measure of six different gases which are Carbon Monoxide, Carbon Dioxide, Ammonia, Alcohol, Acetone and Toluene in the air. This is a new measure of air quality that BreatheIO is registering. What do you love about your team, and why are you the ones to solve this problem? A team by definition is a collection of people, coming together for a common goal. Sometimes you do not decide to form a team but people come together because they resonate with the same goal. The one thing I love about my team is that we didn’t choose each other based on the individual skillset we brought to BreatheIO but because we chose to help each other with the problems that all of us have individually solved. The team is not based on a transactional relationship but more based on contributive analysis of how much can one help another to achieve greatness. Now to answer why are we the ones to solve the problem, I believe you don’t choose the problems that needed to be fixed, rather than the problem chooses you for your compatibility of fixing it. If you weren’t building your startup, what would you be doing? I’d still be building a startup. At the moment, how do you measure success? What are your core metrics? We have 118 early adaptors using our technology, with more than 5 nominations in multiple awards around the globe for our startup, and a company interested in becoming a distributor by placing an order of 10.000 devices. Apart from that an initial investment of 100,000 Canadian Dollars was offered by 2 individual companies. I find that this is pretty much an embodiment of success. What’s most exciting about your traction to date? The most exciting part is that you begin to realise that everything that you have ever done and will ever do, might seem to you very small. But once the world knows about it, you will surely realise how big you are. What technologies are you currently most excited about, and most worried about? And why? The technology that excites me is the fusion of Internet of Things and the Cloud. The cloud has provided the perfect landscape for bypassing the limits that we once used to have because of the limits of hardware that governs the basic layer of all the technological revolution that has occurred in the last 30 years. I believe that everything we see around is legacy hardware, from your hair drying, washing machine, air conditioning and much more. All this will eventually connect to the cloud and share data and information. The next 20 years are all about the cloud revolution and Internet of Things is a big part of it. Based on my experience in the software industry, I believe that software development as a whole is very much diluted. The traditional way of developing and deploying in house solutions has already been verified as the major pothole in any company, business or organisation to scale. Therefore, the future will be for those who are Jack of all trades and masters of none. Specialisation will get you at a dead end, one needs more than one road to move forward. What drew you to get published on HackerNoon? What do you like most about our platform? I have been writing technical articles as a contribution to the community online, that has allowed me to develop and become what I am using Hackernoon as a platform. At Hackernoon, I was nominated in five categories for 2020 Noonies Awards which landed me with three awards. This made me publish my own book, titled, Make Me a Programmer – The Independent Entrepreneur on Amazon. This puts me in a league of becoming an author which would certainly not have been possible without the great support and minimized communication gap from the Hackernoon team behind the platform. Any living thing needs just a little care, and you will be amazed at what a beauty it can become. What advice would you give to the 21-year-old version of yourself? Dear Boy, you are in the era where the magic happens. All magic is technology, and if you can get a hold of it, you`ll be amazed and how many Merlin’s of this time will emerge. Therefore, always remember whatever your mind produces, if you stick long enough with it, it is bound to become your reality. What is something surprising you've learned this year that your contemporaries would benefit from knowing? The biggest achievements are small beginnings and all things take time, so develop patience in you to the point that you become an immovable object towards any unstoppable force. BreatheIO is contesting as . the startup of the year in Lahore

Startup Interview with Muhammad Bilal, BreatheIO - CEO/Founder

Inflation has brought a level of uncertainty to Wall Street in 2024 despite a record-breaking Q1 performance for the S&P 500. With much of the growth driving US markets down to the ongoing generative AI boom, could the threat of confounding consumer price index (CPI) data cause the GenAI bubble to burst? The first quarter saw the S&P 500 cross the 5,000 barrier for the first time as a watershed moment in a sustained rally that coincided with the launch of OpenAI’s ChatGPT generative AI large-language model (LLM). The index rallied more than 30% since the November 30th 2022 release of ChatGPT towards a peak of over 5,250 before the news of resurgent inflation rates forced a timely reality check. As news that CPI inflation data for March 2024 came in at a hotter-than-expected 3.5% increase in the same period in 2023, the S&P 500 tumbled back below 5,000 in a 5.46% dip from its peak in late March. Although US markets have become accustomed to high inflation data, there had been optimism that 2024 would see multiple Federal Reserve rate cuts taking place as inflation cooled. Confounding figures appeared to spark Wall Street to snap out of its long-term rally and address the prospect of higher-for-longer rates. Looking at one of the generative AI boom’s biggest stocks, Nvidia (NASDAQ:NVDA), we can see that NVDA’s momentum has slowed since March and even posted an 8% dip for the month of April. Although both the S&P 500 and Nvidia have shown resilience in the wake of the worrying inflation data, analysts remain fearful of what more bad news surrounding inflation estimates could do for undermining the momentum built by generative AI stocks. Could inflation pressures cause the generative AI bubble to finally burst? Or can we expect more resilience even in the midst of market uncertainty? Are we in a GenAI Bubble? According to Bloomberg Professional Services, the generative AI market is set to attain $1.3 trillion in revenue by 2032. However, such lofty expectations could be undermined by signs of a slowdown. “There's growing evidence that the hype machine is slowing down," notes Gerrit De Vynck, tech reporter at The Washington Post. While many major tech firms like OpenAI, Microsoft, and Google have been busy announcing new projects, the AI hype cycle is so far "yet to upend the way people work and communicate with each other." In addition to this, we’re yet to see leading firms, aside from hardware manufacturers, begin to access the massive pool of revenue forecasted for generative AI. According to John Naughton, professor of the public understanding of technology at the Open University, we’re not only in an AI bubble, but we’re already at its third-stage: euphoria. “Caution has been thrown to the winds and ostensibly rational companies are gambling colossal amounts of money on AI,” Naughton notes in his description of the euphoria stage of the AI bubble. Naughton surmises that the euphoria stage of the bubble will ultimately give way to profit-taking before reaching its conclusion at the ‘panic’ stage. Should we find ourselves inside a generative AI bubble, all eyes will be on its most impressive performer, Nvidia for signs of stress. Kristofer Barrett, equities manager at Swedbank Robur Technology, fears that the runaway success of Nvidia has pushed the firm into retail stock territory as Cathie Wood’s Ark Invest trimmed its exposure to NVDA last year while the share of ESG funds holding the stock fell to 15% at the end of 2023, down from a high of 20% in Q2 2023. Recent frailties in the S&P 500 off the back of CPI data have come at a time when investors have become accustomed to generative AI hype. For the market to be sustainable, the hype cycle will need to give way to implementation at some level. Whether or not we can reach the implementation stage of the GenAI boom will be down to whether it can deliver on its vast potential. Reasons to Remain Bullish Despite fears that the generative AI boom may be a bubble that’s readying to burst, the relative resilience of the S&P 500 which has been sustained by AI stock growth in recent months and leading GenAI stocks like Nvidia can be interpreted as a positive sign of sustainability. “Concerns about GenAI failing to meet expectations in 2024 should be seen in the context of the natural cycle of hype and maturity of new technologies,” explained Maxim Manturov, head of investment research at Freedom Finance Europe. “While some industry leaders have expressed frustration with the speed of progress in artificial intelligence and GenAI in their organizations, others remain optimistic about its potential,” Manturov added. “Companies heavily invested in GenAI are under pressure to prove profitability, and industry reports indicate a shift to more strategic AI initiatives in the coming years.” Nvidia CEO Jen Huang has corroborated the suggestion that AI initiatives are only gathering momentum in the current market. “Demand is surging worldwide across companies, industries, and nations,” Huang said. “Demand will continue to be stronger than our supply provides through the year, and we’ll do our best [to meet it].” According to Deloitte tech predictions for 2024, we’re likely to see ‘almost all’ enterprise software companies embed generative AI in at least some of their products this year. As a result, AI chip sales are set to reach more than $50 billion worldwide while software revenue could attain a $10 billion run rate by the end of 2024. Crucially, Deloitte found that more than 70% of companies are experimenting with generative AI at present, buy less than 20% are willing to spend more money than they already are on the technology. This data suggests that the pipeline of interest for GenAI solutions isn’t ready to slow down any time soon, and even if there are signs of saturation, falling entry costs would open the market for a far wider range of interested companies. If there are signs of the generative AI boom slowing, it would more likely take the form of a market correction than a bubble bursting. Could Inflation Interrupt the GenAI Boom? Tech stocks are always more vulnerable to difficult inflation data. The 2022 tech stock sell-offs on Wall Street were a timely reminder that more speculative and riskier stocks can struggle as macroeconomic conditions tighten. This means that confounding inflation data will always have an adverse impact on popular tech stocks, and given the frequency in which CPI inflation is exceeding expectations, investors may have to factor in short-term volatility when building their portfolios. For investors adopting a more long-term mindset, the prospect of generative AI flourishing into a $1.3 trillion industry will be a key draw. Whether such sky-high predictions can emerge from its hype stage into the implementation stage will be crucial, but for now, the generative AI boom is showing the resilience required for longevity. Inflation has brought a level of uncertainty to Wall Street in 2024 despite a record-breaking Q1 performance for the S&P 500. With much of the growth driving US markets down to the ongoing generative AI boom , could the threat of confounding consumer price index (CPI) data cause the GenAI bubble to burst? ongoing generative AI boom The first quarter saw the S&P 500 cross the 5,000 barrier for the first time as a watershed moment in a sustained rally that coincided with the launch of OpenAI’s ChatGPT generative AI large-language model (LLM). The index rallied more than 30% since the November 30th 2022 release of ChatGPT towards a peak of over 5,250 before the news of resurgent inflation rates forced a timely reality check. As news that CPI inflation data for March 2024 came in at a hotter-than-expected 3.5% increase in the same period in 2023, the S&P 500 tumbled back below 5,000 in a 5.46% dip from its peak in late March. hotter-than-expected 3.5% increase hotter-than-expected 3.5% increase Although US markets have become accustomed to high inflation data, there had been optimism that 2024 would see multiple Federal Reserve rate cuts taking place as inflation cooled. Confounding figures appeared to spark Wall Street to snap out of its long-term rally and address the prospect of higher-for-longer rates. Looking at one of the generative AI boom’s biggest stocks, Nvidia (NASDAQ:NVDA), we can see that NVDA’s momentum has slowed since March and even posted an 8% dip for the month of April. Although both the S&P 500 and Nvidia have shown resilience in the wake of the worrying inflation data, analysts remain fearful of what more bad news surrounding inflation estimates could do for undermining the momentum built by generative AI stocks. analysts remain fearful analysts remain fearful Could inflation pressures cause the generative AI bubble to finally burst? Or can we expect more resilience even in the midst of market uncertainty? Are we in a GenAI Bubble? According to Bloomberg Professional Services, the generative AI market is set to attain $1.3 trillion in revenue by 2032. However, such lofty expectations could be undermined by signs of a slowdown. attain $1.3 trillion in revenue attain $1.3 trillion in revenue “There's growing evidence that the hype machine is slowing down," notes Gerrit De Vynck , tech reporter at The Washington Post. While many major tech firms like OpenAI, Microsoft, and Google have been busy announcing new projects, the AI hype cycle is so far "yet to upend the way people work and communicate with each other." notes Gerrit De Vynck notes Gerrit De Vynck In addition to this, we’re yet to see leading firms, aside from hardware manufacturers, begin to access the massive pool of revenue forecasted for generative AI. According to John Naughton, professor of the public understanding of technology at the Open University, we’re not only in an AI bubble, but we’re already at its third-stage: euphoria. “Caution has been thrown to the winds and ostensibly rational companies are gambling colossal amounts of money on AI,” Naughton notes in his description of the euphoria stage of the AI bubble. Naughton notes Naughton notes Naughton surmises that the euphoria stage of the bubble will ultimately give way to profit-taking before reaching its conclusion at the ‘panic’ stage. Should we find ourselves inside a generative AI bubble, all eyes will be on its most impressive performer, Nvidia for signs of stress. Kristofer Barrett, equities manager at Swedbank Robur Technology, fears that the runaway success of Nvidia has pushed the firm into retail stock territory as Cathie Wood’s Ark Invest trimmed its exposure to NVDA last year while the share of ESG funds holding the stock fell to 15% at the end of 2023, down from a high of 20% in Q2 2023. retail stock territory retail stock territory Recent frailties in the S&P 500 off the back of CPI data have come at a time when investors have become accustomed to generative AI hype. For the market to be sustainable, the hype cycle will need to give way to implementation at some level. Whether or not we can reach the implementation stage of the GenAI boom will be down to whether it can deliver on its vast potential. Reasons to Remain Bullish Despite fears that the generative AI boom may be a bubble that’s readying to burst, the relative resilience of the S&P 500 which has been sustained by AI stock growth in recent months and leading GenAI stocks like Nvidia can be interpreted as a positive sign of sustainability. “Concerns about GenAI failing to meet expectations in 2024 should be seen in the context of the natural cycle of hype and maturity of new technologies,” explained Maxim Manturov, head of investment research at Freedom Finance Europe . Freedom Finance Europe Freedom Finance Europe “While some industry leaders have expressed frustration with the speed of progress in artificial intelligence and GenAI in their organizations, others remain optimistic about its potential,” Manturov added. “Companies heavily invested in GenAI are under pressure to prove profitability, and industry reports indicate a shift to more strategic AI initiatives in the coming years.” Nvidia CEO Jen Huang has corroborated the suggestion that AI initiatives are only gathering momentum in the current market. “Demand is surging worldwide across companies, industries, and nations,” Huang said . “Demand will continue to be stronger than our supply provides through the year, and we’ll do our best [to meet it].” Huang said Huang said According to Deloitte tech predictions for 2024 , we’re likely to see ‘almost all’ enterprise software companies embed generative AI in at least some of their products this year. As a result, AI chip sales are set to reach more than $50 billion worldwide while software revenue could attain a $10 billion run rate by the end of 2024. Deloitte tech predictions for 2024 Deloitte tech predictions for 2024 Crucially, Deloitte found that more than 70% of companies are experimenting with generative AI at present, buy less than 20% are willing to spend more money than they already are on the technology. This data suggests that the pipeline of interest for GenAI solutions isn’t ready to slow down any time soon, and even if there are signs of saturation, falling entry costs would open the market for a far wider range of interested companies. If there are signs of the generative AI boom slowing, it would more likely take the form of a market correction than a bubble bursting. Could Inflation Interrupt the GenAI Boom? Tech stocks are always more vulnerable to difficult inflation data. The 2022 tech stock sell-offs on Wall Street were a timely reminder that more speculative and riskier stocks can struggle as macroeconomic conditions tighten. This means that confounding inflation data will always have an adverse impact on popular tech stocks, and given the frequency in which CPI inflation is exceeding expectations, investors may have to factor in short-term volatility when building their portfolios. For investors adopting a more long-term mindset, the prospect of generative AI flourishing into a $1.3 trillion industry will be a key draw. Whether such sky-high predictions can emerge from its hype stage into the implementation stage will be crucial, but for now, the generative AI boom is showing the resilience required for longevity.

Could Stubborn Inflation Cause the Generative AI Bubble to Finally Burst on Wall Street?

একগুঁয়ে মুদ্রাস্ফীতি কি জেনারেটিভ এআই বুদ্বুদকে শেষ পর্যন্ত ওয়াল স্ট্রিটে ফেটে যেতে পারে?

Könnte eine hartnäckige Inflation dazu führen, dass die generative KI-Blase an der Wall Street endgültig platzt?

¿Podría la persistente inflación provocar que la burbuja generativa de la IA finalmente estalle en Wall Street?

Une inflation tenace pourrait-elle enfin faire éclater la bulle de l’IA générative à Wall Street ?

क्या जिद्दी मुद्रास्फीति के कारण वॉल स्ट्रीट पर जनरेटिव एआई बुलबुला अंततः फट सकता है?

根強いインフレにより、ウォール街で生成 AI バブルがついには崩壊する可能性があるか?

완고한 인플레이션으로 인해 생성 AI 버블이 월스트리트에서 마침내 터질 수 있습니까?

A inflação teimosa poderia fazer com que a bolha da IA generativa finalmente estourasse em Wall Street?

Может ли устойчивая инфляция привести к тому, что пузырь генеративного искусственного интеллекта наконец лопнет на Уолл-стрит?

İnatçı Enflasyon, Üretken Yapay Zeka Balonunun Sonunda Wall Street'te Patlamasına Neden Olabilir mi?

Lạm phát cứng đầu có thể khiến bong bóng AI sáng tạo cuối cùng bùng nổ trên Phố Wall?

顽固的通货膨胀会导致华尔街的生成性人工智能泡沫最终破裂吗？

Artificial intelligence gives humanity tremendous opportunities. With that, great risks. We celebrate online translators, amicable chatbots, well-drawing neural networks, and robot vacuum cleaners. We jubilate everything that makes life easier — not to mention scientific achievements. That said, we seem to be afraid of AI. But why? Is it even justified? Let's find out. First Steps in AI The first research on AI began in the 1930s. At that time, AI was already deemed a computer program able to perform tasks and learn. In 1927, an engineer of the Westinghouse Electric and Manufacturing Company, engineered the first humanoid robot, Herbert Televox. Roy Wensley It was programmed to answer calls and execute simple commands. Imagine you call home and ask Televox whether the lights are turned off! Or you can request to preheat dinner in the oven, and the robot will turn it on remotely. All that in 1927! Rise of AI: Dartmouth Conference The term artificial intelligence was first used in 1956, at the , New Hampshire. At the conference, scientists discussed many areas of AI application, from vision, learning, and research to language, gaming, and human interactions with robots. Dartmouth Conference in Hanover Since then, the golden age of AI has started. Artificial intelligence has become the official field of science. AI robots could solve specific tasks. For more accomplished versions, a bigger computing capacity was necessary. Not So Positive AI: Intelligence Explosion The number of robots — from a vacuum cleaner to a smart kettle — used in daily life was growing. Researchers tried to predict the further flow of things. In 1966, British mathematician Good in his work ‘Speculations Concerning the First Ultraintelligent Machine’ formulated the principle of technological singularity, or intelligence explosion. Irving John According to this phenomenon, “ultraintelligent machine could design even better machines; there would then unquestionably be the ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make.” This work caused a great discussion in society and led to ethical concerns: Is it safe to interact with machines? Where are the boundaries of interactions? Who controls robots? Trade-Offs: Asimov’s Laws of Robotics One of the most famous solutions to the problem was proposed by the American writer and professor of biochemistry in 1942. In Asimov’s story ‘Runaround,’ he outlined the three Laws of Robotics: Isaac Asimov A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey the orders given to it by human beings, except where such orders would conflict with the First Law. A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws. But, many years later, these postulates remained fiction and became the ground for future doubts, fears, and frightening scenarios. Where Does the Fear Come From? In the 1990s, neural networks became a real breakthrough. They could collect data, form experiences, analyze the received information, and draw conclusions at much higher speeds. Since there were more precise and less provocative definitions for modern technologies, the phrase artificial intelligence lost its relevance. John McCarthy, an American computer and cognitive scientist, said, ‘As soon as it works, no one calls it AI anymore." It is human nature to be scared of the new — the law of survival in action. Artificial intelligence provokes a defensive reaction. But it’s not the AI itself that frightens us. It’s the fear of the unknown. Many do not understand artificial intelligence, its processes and its consequences. People are also scared lest artificial intelligence replace them at work. Here also comes media. In movies, books, and media, AI is often an evil genius who wants to destroy humanity. At the same time, there are many stories of human interaction with technology: Self-realization through a robot (the movie ‘Real Steel’); Complete suppression of human will by a machine (the picture ‘Upgrade’); Use of technology for good (Iron Man's virtual assistant Jarvis); Capture of the world by intelligent machines (the movie ‘Terminator’ or the ‘Matrix’ trilogy). Smart machines appeared in fantasy long before they did in real. The word ‘robot’ was first used in the science-fiction play R.U.R. by in 1920. Čapek’s robots were very close to the modern perception of androids. Karel Čapek People view AI as a living organism capable of evoking feelings, if not to replace a person. We can see that in the picture ‘Her.’ Moreover, we no longer perceive technologies like Siri, Mercedes, or chatbots as AI. However advanced, machines do not have a nervous system. Even a perfectly accurate emulation of the human brain in an electronic version cannot make a robot feel and empathize. Mikalai Dzisko*, Senior Editor at , says:* Ocean Power ‘Journalists also distort the image of neural networks and artificial intelligence. Instead of educating their audience and showing them how to use the neural network, they mouse around for intolerance and unethical behavior in ChatGPT. Will it write the f-word? When will it offend a user? Is it possible to bring it into conflict? How many genders does the neural network admit? These questions blur the reputation and essence of the technology. Will the Fear Of AI Disappear? Despite widespread fear, some movies, books, and people support a positive reputation of neural networks: In the 1990’s sci-fi picture ‘Total Recall,’ AI helps the main character to investigate crimes on Mars; In the Mass Effect computer games, you can’t win without AI; In the science fiction series ‘Black Mirror,’ artificial intelligence is sometimes represented as a positive character: in one of the episodes, it helps people find the perfect match — the utopian Tinder of the future. Artificial intelligence is often mentioned in gender studies. One of the most famous feminists of the last century, Donna Haraway, believed that cyborgization would help overcome binary, with all the ensuing problems and stereotypes. Today, human rights defenders are moving on. The non-profit organization raises the questions of people who can already be called cyborgs. Cyborg Foundation Its co-founder, artist Neil Harbisson, calls himself the first cyborg in the world because he implanted a special antenna in his skull that converts light waves into sound. ‘Should they have a license to use the technology? Their international law? What should cyborg insurance look like? Who will protect the civil liberties and inviolability of cyborg bodies?’ asks Eliezer Yudkowsky, co-founder and research fellow at the Machine Intelligence Research  Institute Stephen Hawking made a huge contribution to the popularization of the thesis ‘Technology is man's best friend.’ The famous physicist and cosmologist publicly spoke in favor of research and the development of artificial intelligence. Hawking believed that, with proper use, AI can help people solve many global problems. By personal example, he showed that a serious illness is no longer an obstacle to active scientific and public activity the moment you let technology into your life and body. Transhumanism VS. Posthumanism Transhumanists preach that the main task of a person is to improve the quality of their own life and overcome illness and death. Technology should be the best helper in this process. Cyborgization, regenerative medicine, various digital practices — virtual reality, metaverses — all this should make a person happy. Sounds defiant, doesn’t it? On the other hand, technology has been simplifying our lives for a long time. We just do not notice it: cars, microwaves, phones, the Internet, search engines, and so on. There is also a more radical approach, posthumanism. This philosophy is based on the consideration that man has reached the peak of their evolution in the Darwinian understanding and, to reach the next level; it is necessary not just to apply the product of his intellectual activity, but to directly implement it into life: to implant a chip in the brain to improve vision or hearing. This can also include biohacking, improving health indicators with the help of medicines, a proper lifestyle, and, of course, technologies, such as chips that read blood pressure, temperature, and sugar levels. Not the treatment of diseases, but the upgrade of the body and its own capabilities. Three Whales of Transhumanism Both trends are mostly theoretical, but the three main ideas of transhumanism seem intriguing. The first is super longevity. The belief that life is finite, and even more so limited by a conditional century, is a cultural stereotype that forces a person to distribute events within the time allotted to a human: to get married before the age of 25, to give birth before 30, to reach success before 45. What if you imagine that life is 200, or even 250 years? How will our attitude towards the time change? To your own health and biological age? What if we don't rush, try to do more, and adjust our lifestyle to this idea? A second duty of a transhuman is to raise the standard of living by reducing stress. Stress has become the main disease of the 21st century, the primary source of other problems and illnesses. A high standard of living is not only material goods, it is primarily harmony with oneself. This is what transhumanism adherers suggest to focus on. The third thesis of transhumanism is as follows: a person must combine the abilities of the brain and technology. Disturbing, right? In fact, we have been delegating some brain functions to neural networks for a long time: memory, sensory organs, and biological clocks, to name a few. We get up on the alarm clock, we do not waste time trying to remember the actor's name, we trust the route suggested by the navigator — and we are unlikely to follow it on our own. The neural network helps eliminate some processes, change our needs, reduce the time for completing tasks, and manage to do the important ones. Is It Even Possible? In theory, it is possible to achieve superintelligence by combining the capabilities of the human brain and a computer. Special implants could stimulate brain function, allow you to access the Internet, and interact with computers or other implant carriers. Today, such technologies are used only for medical purposes. For example, scientists at have developed implants that can stimulate individual parts of the brain with the help of electrical impulses and thus help address depression or Parkinson's disease. Stanford University All these utopian developments can inspire or make you think about improving your life. In the fight against AI anxiety, you just need to start. The first piece of advice unanimously given by those who work with neural networks is to stop calling this technology artificial intelligence. Intelligence — the defining characteristic between a human and an animal — remains man's main strength. There are no competitors on the horizon so far.

AI: Friend or Foe? What's Behind Our Fear of Artificial Intelligence?

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