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:

    Generative AI tools are here, but who’s using them?
    Generative AI has much promise. But the road between here and delivering on those promises looks to be a lot longer than when ChatGPT first dropped in November 2022.

  2. Tomi Engdahl says:

    Cloudflare’s new free tool stops bots from scraping your website content to train AI
    AI bots accessed around 39% of the top one million ‘internet properties’ using Cloudflare in June of 2024, according to the company

  3. Tomi Engdahl says:

    Hacker group claims it leaked internal Disney Slack messages over AI concerns

    New York

    An activist hacking group claimed it leaked thousands of Disney’s internal messaging channels, which included information about unreleased projects, raw images computer codes and some logins.

    Nullbulge, the “hacktivist group,” claimed responsibility for the breach and said they leaked a gigantic, roughly 1.2 terabytes of information from Disney’s Slack, a communications software. In an email on Monday to CNN, the group claimed it gained access through “a man with Slack access who had cookies.” The email also claimed the group was based out of Russia.

    “Disney was our target due to how it handles artist contracts, its approach to AI, and its pretty blatant disregard for the consumer,” the hacking group said over email.

  4. Tomi Engdahl says:


  5. Tomi Engdahl says:

    Using artificial intelligence to make quantum computers a reality

    Have you ever considered the potential of artificial intelligence (AI) to unlock the secrets of advanced quantum computing?

    This once seemingly impossible feat may soon become a reality, as suggested by new research from Australia’s national science agency, CSIRO.

    AI and quantum computing noise
    The research, published in the prestigious Physical Review Research journal, presents a fascinating and important concept.

    It indicates AI’s remarkable potential to process and resolve quantum errors, which are famously termed as ‘qubit noise’.

    Now, why do these quantum errors matter so much in the universe of quantum computing?

    This noise, which arises from various sources such as environmental interference and imperfections in the quantum system, apparently is the largest hurdle in transitioning quantum computers from being purely experimental devices to practical, everyday tools.

  6. Tomi Engdahl says:

    Goodbye Manual Prompting, Hello Programming With DSPy
    The DSPy framework aims to resolve consistency and reliability issues by prioritizing declarative, systematic programming over manual prompt writing.

    The development of scalable and optimized AI applications using large language models (LLMs) is still in its growing stages. Building applications based on LLMs is complex and time-consuming due to the extensive manual work involved, such as writing prompts.

    Prompt writing is the most important part of any LLM application as it helps us to extract the best possible results from the model. However, crafting an optimized prompt requires developers to rely heavily on hit-and-trial methods, wasting significant time until the desired result is achieved.

  7. Tomi Engdahl says:

    “A conversation alone can lead us to think that an agent that looks and works very differently from us can have a mind.” https://trib.al/AW4pbUr

  8. Tomi Engdahl says:

    Macrostrategy Partnersin perustaja James Ferguson uskoo menossa olevan tekoälybuumin olevan kupla, uutisoi muun muassa Bloomberg ja Business Insider.

    Fergusonin mukaan nykyinen tekoälysirubuumi täyttää taloudellisen kuplan merkit. Tilanne muistuttaa Fergusonin mielestä 90-luvun lopun it-kuplaa: uuteen teknologiaan investoidaan paljon, vaikka sen tosiasialliset vaikutukset eivät ole tiedossa

    Ferguson kertoo, että luovalla tekoälyllä ei ole hypetyksestä huolimatta montaa käytännöllistä käyttökohdetta. Tämän lisäksi tekoäly vaatii paljon energiaa edes toimiakseen.

    ”Lopputuloksena on jotakin, joka on hyvin kallista ja joka ei ole vielä osoittautunut oikeastaan missään muualla kuin joissakin suppeissa sovelluksissa”, Ferguson kertoo.

    Tekoäly-yritysten arvo on kokenut suuren nousun viime aikoina. Nvidiasta tuli lyhyeksi aikaa maailman arvokkain yhtiö, TSMC nousi Aasian arvokkaimmaksi pörssiyhtiöksi


  9. Tomi Engdahl says:

    Tekoälyn käyttöönotto vaatii aktiivista johtajuutta – muuten edessä voi olla mahalasku

  10. Tomi Engdahl says:


    Former Tesla AI Director reproduces GPT-2 in 24 hours for only $672 — GPT-4 costs $100 million to train

  11. Tomi Engdahl says:

    The intense battle to stop AI bots from taking over the internet
    Artificial intelligence systems need to be trained on text – which has led their creators to gather up words from right across the web

  12. Tomi Engdahl says:

    Develop a Cloud-Hosted RAG App With an Open Source LLM
    Follow this step-by-step guide to create a custom AI application using BentoML, LangChain and MyScaleDB.

  13. Tomi Engdahl says:

    Coding From Scratch Creates New Risks
    The good news for organizations is that CodeOps combines AI and human ingenuity to minimize these risks while saving time and money.

    Digital assets, including apps and websites, are a must-have for organizations, and those that are innovative, intuitive, and fun to use can go a long way toward building long-lasting customer relationships. Creativity helps businesses stand out in a crowded marketplace, but many need to realize that they don’t need to reinvent the wheel and start the app development process from scratch.

    In many new app development projects, a significant portion of the required code has already been written — up to 70% is often readily available. This code may originate from open source projects or have been previously developed by developers within the organization.

    Despite the abundance of existing code, efforts to prioritize code reuse have historically faced challenges. Solutions such as low- or no-code platforms often force disruption and demand new, non-transferable skill sets, contributing to resistance and failure. Many of these solutions also need more technical maturity to deliver on their promises.

    This is why organizations turn to CodeOps, an AI-driven software development process prioritizing systematic code reuse. This helps teams avoid wasting time reinventing the wheel and, more importantly, significantly reduces the risks associated with writing code from scratch, including:


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