3 AI misconceptions IT leaders must dispel


 Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.

AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.” 

IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”


  1. Tomi Engdahl says:


    OpenAI, Security Researcher

    One of the tedious bits of reverse engineering is to work through the various functions, guess their purpose, and rename everything to something useful. If only there was a way to automate the process. Enter Gepetto, a project from [Ivan Kwiatkowski], that asks OpenAI’s Davinci-003 model to describe what a decompiled function does. It’s packaged as an IDA Pro plugin, but the concept should apply to other decompilers, too. Step two is to fold that description back into the AI model, and ask it to name the function and variables. The normal warning applies — the AI chat engine will always generate a description that sounds good, but it may be wildly inaccurate.


  2. Tomi Engdahl says:

    Giving Stable Diffusion Some Depth

    You’ve likely heard quite a bit of buzz over the last few months about Stable Diffusion. The new version (v2) has come out, and in addition to the standard image-to-image and text-to-image modes, it also has a depth-image-to-image that can be incredibly useful. [Andrew] has a write-up that guides you on using this mode.

    The basic idea is that you can take both an image and depth into the model, which allows you to control what gets put where. Stable Diffusion is a bit confusing, but we already have some great resources to wrap your head around it. In terms of input, you can use a depth map from a camera with lidar (many recent phones include this) or have another model (like MiDaS) estimate it from a 2D picture. This becomes powerful when you can preserve a specific composition,


    Overall, it’s a clever use of what the new AI model can do. It’s a fast-moving space, so this will likely be out of date in a few months.

  3. Tomi Engdahl says:

    Pääkirjoitus: Mullistus leviää Suomeenkin – huijasin heti töissäni, huomaatko mitään outoa?
    Valtteri Varpela
    Uusi kaikkien ulottuvilla oleva ohjelma antaa maistiaisen siitä, miten tekoälyä voi tulevaisuudessa käyttää oman työn helpottamiseen tai jopa huijaamiseen, kirjoittaa Iltalehden uutispäätoimittaja Valtteri Varpela.

    uusi tekoälyohjelma Chat GPT. Ohjelma kysyi minulta sen ladattuani, miten voi auttaa. Pyysin ohjelmaa kirjoittamaan Suomen suurimpaan mediaan pääkirjoituksen, jossa pohditaan, miten tekoäly tulee muuttamaan Suomen koulutusjärjestelmää, työelämää ja tavallisten suomalaisten arkea seuraavan parin vuoden aikana.

    Tämän yllä olevan tekstin ohjelma kirjoitti englanniksi englanninkieliseen kysymykseeni – ja keskivertolukija tuskin tulisi tekstiä lukiessaan ajatelleeksi, että teksti on tekoälyn tuottamaa, ei ihmisen.

    Ohjelma toimii myös suomeksi, mutta selvästi heikommin. Teksti vilisee ilmaisuja, joita hyvässä suomen kielessä ei käytetä.

    Moneen kysymykseen se myös suoltaa aivan totaalista puuta heinää riippumatta siitä, onko kysymys esitetty englanniksi tai suomeksi.

    Ohjelma on kuitenkin sen verran vakuuttava, että se on herättänyt kansainvälisesti paljon huomiota: miten opettaja pystyy jatkossa erottamaan, onko esseen kirjoittanut Chat GPT vai oppilas?

    Kysytään ohjelmalta itseltään.

    Ohjelma väittää, ettei sen avulla voi huijata, mutta myöntää, että sen tuottaman tekstin ja ihmisen kirjoittaman tekstin eroa voi olla vaikea havaita. Ero voi Chat GPT:n mukaan paljastua luonnottomassa kieliasussa, toistuvissa teemoissa ja vastauksissa, jotka ovat tiukasti sidottuja asetettuihin kysymyksiin.

  4. Tomi Engdahl says:

    ‘Flood of cheating’: Expert warns new tool will be a game changer for cheaters

    A new app has made it easier to cheat and harder to catch. CNN’s Abby Phillip talks to an expert in plagiarism and university educator about the new tool that runs on artificial intelligence.

  5. Tomi Engdahl says:

    Matthew Smith / Wired:
    A look at the use of AI to design and test games, such as to tune difficulty, find world geometry flaws, and sniff out situations that make it impossible to win

    Machine Learning Could Create the Perfect Game Bosses

    The next generation of video game characters could be powered by AI, making them more engaging and challenging.

  6. Tomi Engdahl says:

    Rita Liao / TechCrunch:
    An overview of Chinese tech companies rushing to match generative AI tools like DALL-E 2 despite tighter regulations, censorship, US chip sanctions, and more

    How China is building a parallel generative AI universe
    Chinese tech companies rush to match Stable Diffusion and DALL-E 2, but roadblocks lie ahead

  7. Tomi Engdahl says:

    Can ChatGPT Build A Guitar Pedal Plugin?

    Can ChatGPT build a Tube Screamer pedal VST plugin that we can actually use in the DAW?

  8. Tomi Engdahl says:

    ChatGPT For Cybersecurity

    In this video, I go over the process of how to use ChatGPT and cover various examples of how to use ChatGPT for Cybersecurity.

    ChatGPT is an AI-driven chatbot launched by OpenAI in November 2022.
    It is trained using Reinforcement Learning from Human Feedback (RLHF).
    It is built on top of OpenAI’s GPT-3.5 family of large language models and is fine-tuned with both supervised and reinforcement learning techniques.

    OpenAI ChatGPT: https://chat.openai.com/chat

    0:00 Introduction
    7:50 ChatGPT usage
    10:45 Pentesting examples
    13:10 Generating shells
    14:25 Fuzzing
    17:15 Shellcode
    18:00 Custom emails
    19:34 Macros
    20:56 Buffer overflow
    22:15 Automation
    25:00 Blue team examples
    28:33 ChatGPT impact on cybersecurity

  9. Tomi Engdahl says:

    Aaron Holmes / The Information:
    Sources: Microsoft plans to release a version of Bing that uses OpenAI’s ChatGPT tech to answer some search queries, possibly launching as soon as Q1 2023 — Microsoft could soon get a return on its $1 billion investment in OpenAI, creator of the ChatGPT chatbot, which gives humanlike text answers to questions.

    Microsoft and OpenAI Working on ChatGPT-Powered Bing in Challenge to Google

    Microsoft could soon get a return on its $1 billion investment in OpenAI, creator of the ChatGPT chatbot, which gives humanlike text answers to questions.

    Microsoft is preparing to launch a version of its Bing search engine that uses the artificial intelligence behind ChatGPT to answer some search queries rather than just showing a list of links, according to two people with direct knowledge of the plans. Microsoft hopes the new feature, which could launch before the end of March, will help it outflank Google, its much bigger search rival.

  10. Tomi Engdahl says:

    You’d be surprised what modern AI can do.

    Synthesizer V Studio is a powerful AI-based singing synthesizer—intuitive, nuanced, and real. With full control over vocals and lyrics alongside a fast, seamless interface, with several life-like voices to choose from, you’ll never look at virtual singing the same way again.

    Download your free trial now.

  11. Tomi Engdahl says:

    Michael Elsen-Rooney / Chalkbeat New York:
    The New York City Department of Education, the US’ largest school system, bans access to OpenAI’s ChatGPT on school devices and networks, amid cheating concerns — New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot …

    NYC education department blocks ChatGPT on school devices, networks

    New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.

    The education department blocked access to the program, citing “negative impacts on student learning, and concerns regarding the safety and accuracy of content,” a spokesperson said. The move from the nation’s largest school system could have ripple effects as districts and schools across the country grapple with how to respond to the arrival of the dynamic new technology.

    The chatbot’s ability to churn out pitch perfect essay responses to prompts spanning a wide range of subjects has sparked fears among some schools and educators that their writing assignments could soon become obsolete — and that the program could encourage cheating and plagiarism.

    “Due to concerns about negative impacts on student learning, and concerns regarding the safety and accuracy of content, access to ChatGPT is restricted on New York City Public Schools’ networks and devices,” said education department spokesperson Jenna Lyle. “While the tool may be able to provide quick and easy answers to questions, it does not build critical-thinking and problem-solving skills, which are essential for academic and lifelong success.”

  12. Tomi Engdahl says:

    Leyland Cecco / The Guardian:
    Apple quietly launches a catalog of books narrated by AI on its Books app, in a move that publishers, authors, and agents warn may upend the audiobook market — Exclusive: tech firm quietly launches new audiobook catalogue narrated by AI – but move expected to spark backlash

    Death of the narrator? Apple unveils suite of AI-voiced audiobooks

    Exclusive: tech firm quietly launches new audiobook catalogue narrated by AI – but move expected to spark backlash

  13. Tomi Engdahl says:

    Machine Learning Makes Sure Your LOLs Are Genuine

    There was a time not too long ago when “LOL” actually meant something online. If someone went through the trouble of putting LOL into an email or text, you could be sure they were actually LOL-ing while they were typing — it was part of the social compact that made the Internet such a wholesome and inviting place. But no more — LOL has been reduced to a mere punctuation mark, with no guarantee that the sender was actually laughing, chuckling, chortling, or even snickering. What have we become?

    To put an end to this madness, [Brian Moore] has come up with the LOL verifier. Like darn near every project we see these days, it uses a machine learning algorithm — EdgeImpulse in this case. It detects a laugh by comparing audio input against an exhaustive model of [Brian]’s jocular outbursts — he says it took nearly three full minutes to collect the training set. A Teensy 4.1 takes care of HID duties


  14. Tomi Engdahl says:

    GPTZero was created by Edward Tian, a Princeton student, who says he was inspired by increasing AI plagiarism. The app’s popularity crashed his site.

  15. Tomi Engdahl says:

    Researcher Deepfakes His Voice, Uses AI to Demand Refund From Wells Fargo
    Do Not Pay, which has automated a ton of menial tasks, says it plans to make the tool available to customers.

  16. Tomi Engdahl says:

    Revolutionize Your Hacking Skills with ChatGPT: The AI Assistant That Will Take Your Cybersecurity to the Next Level

  17. Tomi Engdahl says:

    Can ChatGPT create a VST plugin version of the Ibanez Tube Screamer pedal on its own?

  18. Tomi Engdahl says:

    Top 9 GitHub repositories for the TensorFlow community
    The combination of Rust and TensorFlow together is potent because of how easily it can design and train custom models using the bindings available in the toolkit.

  19. Tomi Engdahl says:

    GPT Takes the Bar Exam

    Nearly all jurisdictions in the United States require a professional license exam, commonly referred to as “the Bar Exam,” as a precondition for law practice. To even sit for the exam, most jurisdictions require that an applicant completes at least seven years of post-secondary education, including three years at an accredited law school. In addition, most test-takers also undergo weeks to months of further, exam-specific preparation. Despite this significant investment of time and capital, approximately one in five test-takers still score under the rate required to pass the exam on their first try.

  20. Tomi Engdahl says:

    Make your noisy recording sound like pro audio with Adobe’s free AI tool
    “Enhance Speech” uses AI to make poor-quality voice recordings sound professional.

  21. Tomi Engdahl says:

    Disney’s latest AI tool de-ages actors in seconds / In a bid to avoid hours of postproduction VFX, Disney researchers have created a neural network that can do the work for them.

  22. Tomi Engdahl says:

    College student made app that exposes AI-written essays
    Edward Tian made GPTZero to detect ChatGPT-fueled plagiarism

  23. Tomi Engdahl says:

    Memristors Run AI Tasks at 1/800th Power These brain-mimicking devices boast tiny energy budgets and hardened circuits

  24. Tomi Engdahl says:

    Artist banned from art subreddit because their work looked AI-generated
    By Jody Macgregor published about 6 hours ago
    I’m not sure if that’s a compliment or not.

    AI art continues to be contentious. It’s been banned from Getty Images, used to win an art competition, and following a widespread protest anyone who posts to portfolio site ArtStation can opt out of having their art used as source material by algorithmic art generators.

    Now an actual human artist has been caught in the crossfire. Minh Anh Nguyen Hoang, who creates art under the name Ben Moran, was banned from the subreddit r/Art after a moderator accused them of posting AI-generated art.

    You know, just “find a different style”. That’s easy, right?

    Moran is against AI art themselves, telling Motherboard, “There’s no passion if you can create an artwork that way. And the biggest problem is that I worry about the development of AI art, all of the artists will lose their passion to create a painting.”

    You can see a gallery of Moran’s art on ArtStation(opens in new tab), where, bringing things full circle, it was presumably scraped to form part of the databases AI art tools use before creators were allowed to opt out of the system.

  25. Tomi Engdahl says:

    “Robot lawyer” to present arguments in world’s first AI-defended legal trial in February
    DoNotPay’s chatbot grew up to become a lawyer

    Before you ask: No. The robot didn’t pass the bar exam, so it’s not a licensed lawyer. However, that is not a requirement for arguing a legal case. People represent themselves and hire paralegals in court proceedings all the time. It’s not a stretch for a judge to agree to hear a case from an AI. In fact, most judges would probably be very interested to see a machine-generated legal argument, especially one presented in real-time.

  26. Tomi Engdahl says:

    On the business podcast All-In, Chamath Palihapitiya said Google Search will be the biggest business loser of 2023.

    Amid the rise of ChatGPT and other AI chatbots, venture capitalist Chamath Palihapitiya thinks Google Search will be the biggest loser of 2023

    Chamath Palihapitiya is a venture capitalist who has invested in companies like Slack and Yammer.
    On the business podcast All-In, Palihapitiya said Google Search will be the biggest business loser of 2023.
    Amid the rise of chatbots like ChatGPT, Palihapitiya said more companies will engineer competitive search engines.

    For years, Google has wielded an unparalleled dominance over our ability to search the interwebs.

    But 2023 might be the year Google’s kingdom ends its reign, according to venture capitalist Chamath Palihapitiya.

    “I think that the biggest potential business loser this year is Google search as measured by pure profitability and engagement,” Palihapitiya said on the All-In podcast on Friday.

    One of the most obvious threats to Google is ChatGPT, a chatbot that relies on a new form of artificial intelligence called generative AI. Google issued a “code red” on the potentially competitive technology in late December, and CEO Sundar Pichai has already redirected certain teams to sharpen their focus on AI products, Insider reported.

    However, Palihapitiya doesn’t think that ChatGPT is the only reason Google’s search business might be on shaky grounds this year.

    “I think it’s easier for me to see where the usage comes from as opposed to picking OpenAI or ChatGPT in terms of where the usage goes to,” he said.

    The reason for that, he said, boils down to how machine learning and artificial intelligence work. Palihapitiya said these concepts break down into “two big buckets.”

    The first is “learning,” which he defined as how a technology learns to make predictions. While the second is “inference,” which he said is retrieving search results from a typed query.

    “The thing with learning, and what ChatGPT is showing, is that they have learned by crawling the entirety of the web,”

    Google’s management has reportedly issued a ‘code red’ amid the rising popularity of the ChatGPT AI

  27. Tomi Engdahl says:

    From the VB community: While AI has helped with time-consuming tasks, sometimes it makes problems worse and not better. Vitaly Alexandrov of Food Rocket explains how companies can create a more positive, synergistic relationship between #AI tools and the humans who use them:

    Why AI-optimized workflows aren’t always best for business

    Workflow and process inefficiencies can cost up to 40% of a company’s annual revenue. In many instances, companies seek to resolve this issue by implementing Artificial Intelligence (AI) scheduling algorithms. This is seen as a beneficial tool for business models that depend on speed and efficiency, such as delivery services and the logistics sector.

    While AI has certainly helped with some of the time-consuming and often unpredictable tasks associated with scheduling workers across departments, the model is not yet perfect. Sometimes, it makes the problems worse and not better.

    AI lacks the human ability to look beyond simply optimizing for business efficiency.

    When optimization goes wrong: AI can’t see humans behind the data points

    Auto-scheduling AI has gained a lot of popularity in recent years. Between 2022 and 2027, the global AI scheduling system market is expected to see a CAGR of 13.5%, and 77% of companies are either already using AI or seeking to add AI tools to optimize workflows and improve business processes.

    However, it’s important to note that AI cannot yet make schedules without human oversight. HR professionals still need to review and adjust automatically generated schedules because there is still a huge, glaring flaw in the AI algorithms: A lack of “human parameters.”

    AI is excellent at sorting through data and finding ways to maximize efficiency in business processes. Workflow optimization via algorithms that use historical data is ideal for projecting things like order volume and the required number of workers, based on information such as marketing promotions, weather patterns, time of day, hourly order estimates and average customer wait times.

    The problem stems from AI’s inability to account for “human parameters,” which it perceives as drops in efficiency rather than better business practices.

    So what is the solution? Unfortunately, until we discover ways to infuse AI with empathetic reasoning capabilities, there will likely always be a need for humans to have a hand in scheduling workers.

    Nonetheless, companies can work toward creating a more positive, synergistic relationship between AI scheduling tools and the humans who use them.

    For instance, delivery companies can feed historical data into AI tools to increase the effectiveness of their initial schedule outputs. This reduces some of the burden for HR and scheduling managers.

  28. Tomi Engdahl says:

    Innocent Man Thrown in Jail After Facial Recognition Tech Gets it Wrong… Again
    Another story about low accuracy from the privacy-invasive tech.

  29. Tomi Engdahl says:

    Kommentti: Tekoälystä tuli uutinen kerta­rysäyksellä ja nyt on aika paljastaa, mikä se aidosti on – digitaalinen varas https://www.is.fi/digitoday/art-2000009307951.html

  30. Tomi Engdahl says:

    OPWNAI : CYBERCRIMINALS STARTING TO USE CHATGPT https://research.checkpoint.com/2023/opwnai-cybercriminals-starting-to-use-chatgpt/
    CPRs analysis of several major underground hacking communities shows that there are already first instances of cybercriminals using OpenAI to develop malicious tools. As we suspected, some of the cases clearly showed that many cybercriminals using OpenAI have no development skills at all. Although the tools that we present in this report are pretty basic, its only a matter of time until more sophisticated threat actors enhance the way they use AI-based tools for bad

  31. Tomi Engdahl says:

    Excel – Chat GPT + Excel – The future is here, don’t miss out

  32. Tomi Engdahl says:

    Lauren Leffer / Gizmodo:
    DoNotPay plans to use its AI-based legal advisor to coach a defendant via an earpiece to fight a speeding ticket in an unnamed US courtroom in February 2023

    DoNotPay’s ‘Robot Lawyer’ Is Gearing Up for Its First U.S. Court Case

    An AI-based legal advisor is set to play the role of a lawyer in an actual court case for the first time. Via an earpiece, the artificial intelligence will coach a courtroom defendant on what to say to get out of the associated fines and consequences of a speeding charge, AI-company DoNotPay has claimed in a report initially from New Scientist and confirmed by Gizmodo.

    The in-person speeding ticket hearing is scheduled to take place in a U.S. courtroom (specifically, not California) sometime in February, DoNotPay’s founder and CEO Joshua Browder told Gizmodo in a phone call. However, Browder and the company wouldn’t provide any further case details to protect the defendant’s privacy.

  33. Tomi Engdahl says:

    ChatGPT absolutely DOMINATES Arduino programming

    0:00 Intro
    0:30 Blinky Example
    2:05 Potentiometer Led
    4:27 Servo Motor
    6:03 OLED Screen
    8:03 Accelerometer and OLED
    13:00 Buzzer songs
    17:15 Recapitulating

  34. Tomi Engdahl says:

    Sources: Microsoft is in talks to invest $10B in OpenAI at a $29B valuation, taking 75% of OpenAI’s profits until the investment is recouped and then owning 49% — Microsoft has been in talks to invest $10 billion into the owner of ChatGPT, the wildly popular app that has thrilled casual users …


  35. Tomi Engdahl says:

    Benj Edwards / Ars Technica:
    Microsoft unveils VALL-E, a text-to-speech AI model trained on 60K hours of English speech that can simulate a person’s voice from three seconds of sample audio — Text-to-speech model can preserve speaker’s emotional tone and acoustic environment. — On Thursday, Microsoft researchers announced

    Microsoft’s new AI can simulate anyone’s voice with 3 seconds of audio
    Text-to-speech model can preserve speaker’s emotional tone and acoustic environment.

    On Thursday, Microsoft researchers announced a new text-to-speech AI model called VALL-E that can closely simulate a person’s voice when given a three-second audio sample. Once it learns a specific voice, VALL-E can synthesize audio of that person saying anything—and do it in a way that attempts to preserve the speaker’s emotional tone.
    Further Reading
    Meta’s AI-powered audio codec promises 10x compression over MP3

    Its creators speculate that VALL-E could be used for high-quality text-to-speech applications, speech editing where a recording of a person could be edited and changed from a text transcript (making them say something they originally didn’t), and audio content creation when combined with other generative AI models like GPT-3.

    Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

  36. Tomi Engdahl says:

    Sami Fathi / MacRumors:
    Sketchy iOS app “ChatGPT Chat GPT AI With GPT-3”, which is not affiliated with OpenAI, is selling subscriptions and has been a top paid App Store app for days — A sketchy app claiming to be the bot ChatGPT has soared up App Store charts, charging users a $7.99 weekly subscription …

    Sketchy ChatGPT App Soars Up App Store Charts, Charges $7.99 Weekly Subscription

  37. Tomi Engdahl says:

    Ben Thompson / Stratechery:
    A look at the impact of the emerging AI epoch, led by DALL-E, Midjourney, Stable Diffusion, and ChatGPT, on Apple, Amazon, Meta, Google, and Microsoft

    AI and the Big Five

    The story of 2022 was the emergence of AI, first with image generation models, including DALL-E, MidJourney, and the open source Stable Diffusion, and then ChatGPT, the first text-generation model to break through in a major way. It seems clear to me that this is a new epoch in technology.

    To determine how that epoch might develop, though, it is useful to look back 26 years to one of the most famous strategy books of all time: Clayton Christensen’s The Innovator’s Dilemma, particularly this passage on the different kinds of innovations:

    Most new technologies foster improved product performance. I call these sustaining technologies. Some sustaining technologies can be discontinuous or radical in character, while others are of an incremental nature. What all sustaining technologies have in common is that they improve the performance of established products, along the dimensions of performance that mainstream customers in major markets have historically valued. Most technological advances in a given industry are sustaining in character…

    Disruptive technologies bring to a market a very different value proposition than had been available previously. Generally, disruptive technologies underperform established products in mainstream markets. But they have other features that a few fringe (and generally new) customers value. Products based on disruptive technologies are typically cheaper, simpler, smaller, and, frequently, more convenient to use.

    It seems easy to look backwards and determine if an innovation was sustaining or disruptive by looking at how incumbent companies fared after that innovation came to market: if the innovation was sustaining, then incumbent companies became stronger; if it was disruptive then presumably startups captured most of the value.

    Consider previous tech epochs:

    The PC was disruptive to nearly all of the existing incumbents; these relatively inexpensive and low-powered devices didn’t have nearly the capability or the profit margin of mini-computers, much less mainframes. That’s why IBM was happy to outsource both the original PC’s chip and OS to Intel and Microsoft, respectively, so that they could get a product out the door and satisfy their corporate customers; PCs got faster, though, and it was Intel and Microsoft that dominated as the market dwarfed everything that came before.
    The Internet was almost entirely new market innovation, and thus defined by completely new companies that, to the extent they disrupted incumbents, did so in industries far removed from technology, particularly those involving information (i.e. the media). This was the era of Google, Facebook, online marketplaces and e-commerce, etc. All of these applications ran on PCs powered by Windows and Intel.
    Cloud computing is arguably part of the Internet, but I think it deserves its own category. It was also extremely disruptive: commodity x86 architecture swept out dedicated server hardware, and an entire host of SaaS startups peeled off features from incumbents to build companies. What is notable is that the core infrastructure for cloud computing was primarily built by the winners of previous epochs: Amazon, Microsoft, and Google. Microsoft is particularly notable because the company also transitioned its traditional software business to a SaaS service, in part because the company had already transitioned said software business to a subscription model.
    Mobile ended up being dominated by two incumbents: Apple and Google. That doesn’t mean it wasn’t disruptive, though: Apple’s new UI paradigm entailed not viewing the phone as a small PC, a la Microsoft; Google’s new business model paradigm entailed not viewing phones as a direct profit center for operating system sales, but rather as a moat for their advertising business.

  38. Tomi Engdahl says:

    eevBLAB 106 – ChatGPT & AI Has Changed EVERYTHING

    ChatGPT has changed everything in the space of a month.
    2023 will be the year of Conversational Search and computer code generation.
    And how MidJourney and DALL-E have rendered artists obsolete, or at least turned ANYONE into a nearly great and capable artist.
    This video thumbnail was generated in seconds by Dave who has ZERO artistic skills.

    00:00 – Chat GPT and Conversational Search will change everything
    01:04 – AI can now generate better satire than the experts. The Chaser
    01:45 – The new field of Prompt Engineering
    06:41 – Will ChatGPT replace Google?
    10:44 – Using ChatGPT to generate Arduino Python code
    12:53 – Can ChatGPT write essays?
    14:19 – Generate Python code
    14:50 – Let’s write a legal contract
    15:36 – New Jobs. Become a Prompt Engineer
    16:03 – AI generated Youtube videos and content
    16:50 – Now EVERYONE is an capable artist
    17:36 – Using MidJourney to generate rendered art and paintings
    21:02 – Will AI tell you The Truth?


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