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:


    A revolutionary AI prototype, named “Make It Real,” has amazed developers by transforming drawings into functional software.

    Integrated into the collaborative whiteboard app maker “tldraw,” the feature utilizes OpenAI’s GPT-4V API to interpret vector drawings into web code (Tailwind CSS or JavaScript).

    Users can draw software images, and the AI breathes life into them, replicating user interfaces and even creating simple games like Breakout.

    Developed by Steve Ruiz, tldraw supports open source collaboration, allowing users to experiment with the AI-powered “Make It Real” feature. The GPT-4V API interprets visual images as prompts for generating code.

  2. Tomi Engdahl says:


    OpenAI & Sparks of Artificial Intelligence?

    “Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google’s PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models. We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. Moreover, in all of these tasks, GPT-4′s performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT. Given the breadth and depth of GPT-4′s capabilities, we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system.”

    Sparks of Artificial General Intelligence: Early experiments with GPT-4

  3. Tomi Engdahl says:

    An agency created an AI model who earns up to $11,000 a month because it was tired of influencers ‘who have egos’

    Aitana López is an AI-generated creation by a Spanish agency that grew tired of booking real models.
    López can make just over 1,000 euros, or $1,090, per advert and is featured in images on Fanvue.
    Fanvue’s CEO previously told Insider that AI-generated characters would thrive and become common.

    A Spanish modeling agency said it’s created the country’s first AI influencer, who can earn up to 10,000 euros, or $11,000, a month as a model.

    Euronews reported the news, based on an interview with Rubeñ Cruz, founder of the Barcelona-based modeling agency The Clueless, which created the influencer.

    The AI-generated woman, Aitana López, is a pink-haired 25-year-old. Her account has amassed 124,000 followers on Instagram.

    Cruz told Euronews he decided to design López after having trouble working with real models and influencers. “We started analyzing how we were working and realized that many projects were being put on hold or canceled due to problems beyond our control. Often it was the fault of the influencer or model and not due to design issues,” he said.

    Meet the first Spanish AI model earning up to €10,000 per month

    Aitana, an exuberant 25-year-old pink-haired woman from Barcelona, receives weekly private messages from celebrities asking her out. But this model is not real, she was created by her designers using AI.

    They created Aitana, an exuberant 25-year-old pink-haired woman from Barcelona whose physical appearance is close to perfection. The virtual model can earn up to € 10,000 a month, according to her creator, but the average is around € 3,000.

    “We did it so that we could make a better living and not be dependent on other people who have egos, who have manias, or who just want to make a lot of money by posing,” says Cruz.

    Aitana’s income is quite scattered.

    She earns just over € 1,000 per advert, and has recently become the face of Big, a sports supplement company, and as if that weren’t enough, she uploads photos of herself in lingerie to Fanvue, a platform similar to OnlyFans.

    In just a few months, she has managed to gain more than 121,000 followers on Instagram and her photos get thousands of views and reactions. She even receives private messages from celebrities who are unaware that she is not an actual person.

    How do you bring an AI to life?
    Every week the agency team has a meeting to create Aitana’s life. They decide what she will do during the week, which places she will visit and which photos will be uploaded to feed the followers who want to know about her.

    But there are no photo shoots, no wardrobe changes, just a mix of artificial intelligence and design experts who use Photoshop to make it possible for the model to spend the weekend in Madrid, for example.

    “In the first month, we realised that people follow lives, not images. Since she is not alive, we had to give her a bit of reality so that people could relate to her in some way. We had to tell a story,” says the graphic designer.

    That’s why Aitana, unlike traditional models whose personalities are usually not revealed so that they can be a ‘blank canvas’ for designers, has a very distinct ‘personality’.

    She was created as a fitness enthusiast, determined and with a complex character. On her website she defines herself as outgoing and caring.

    “A lot of thought has gone into Aitana. We created her based on what society likes most. We thought about the tastes, hobbies and niches that have been trending in recent years,” explains Cruz.

  4. Tomi Engdahl says:

    Backpropagation-free training of deep physical neural networks

  5. Tomi Engdahl says:

    No-code retrieval augmented generation (RAG) with LlamaIndex and ChatGPT

  6. Tomi Engdahl says:

    Researchers from Microsoft Research and Tsinghua University Proposed Skeleton-of-Thought (SoT): A New Artificial Intelligence Approach to Accelerate Generation of LLMs

  7. Tomi Engdahl says:

    The Do’s and Don’ts of Using Generative AI in the Workplace
    Companies hope to improve their operations using the new tools. But they want to establish rules that minimize any risks.
    Lindsey Choo

  8. Tomi Engdahl says:

    Käyttäisitkö kuitenkaan? 640 euron “tekoälypinssistä” puuhataan älypuhelimen korvaajaa – “Palaa pimeälle keskiajalle”

  9. Tomi Engdahl says:

    Analyysi: Tekoäly-yhtiön kriisiviikko osoitti, ettei tekoälyn kehitystä hidasteta teoreettisten uhkakuvien takia
    Chat GPT:n kehittänyt Open AI jatkaa toimintaa Sam Altmanin johdolla, mutta yhtiön turvallisuuskeskeinen lähestymistapa tekoälyn kehittämiseen sai kolhun, kirjoittaa Ylen teknologiatoimittaja Teemu Hallamaa.

  10. Tomi Engdahl says:

    OpenAI’s Chaos Linked to Super Powerful New AI It Secretly Built
    OpenAI’s latest AI could represent a “tremendous leap” forward.

  11. Tomi Engdahl says:

    U.S., U.K., and Global Partners Release Secure AI System Development Guidelines

    The U.K. and U.S., along with international partners from 16 other countries, have released new guidelines for the development of secure artificial intelligence (AI) systems.

    “The approach prioritizes ownership of security outcomes for customers, embraces radical transparency and accountability, and establishes organizational structures where secure design is a top priority,” the U.S. Cybersecurity and Infrastructure Security Agency (CISA) said.

    The goal is to increase cyber security levels of AI and help ensure that the technology is designed, developed, and deployed in a secure manner, the National Cyber Security Centre (NCSC) added.

  12. Tomi Engdahl says:


  13. Tomi Engdahl says:

    Oletko kännissä? Tekoäly tietää
    Uusi älypuhelinsovellus pystyy mittaamaan puheäänestä humalan tason hämmästyttävän tarkasti.

  14. Tomi Engdahl says:

    Scientists Warn That AI Threatens Science Itself
    “Our tendency to anthropomorphize machines and trust models as human-like truth-tellers — consuming and spreading the bad information that they produce in the process — is uniquely worrying for the future of science.”

  15. Tomi Engdahl says:

    Amazon julkaisi oman kilpailijan ChatGPT:lle https://www.is.fi/digitoday/art-2000010023394.html

    Yritysten käyttöön tarkoitettu Q-niminen tekoälysovellus on ainoastaan Amazonin AWS-pilvipalvelun käyttäjien saatavilla

    Q kilpailee paitsi OpenAI:n luoman ChatGPT:n myös Googlen Bardin ja Microsoftin Copilotin kanssa.

  16. Tomi Engdahl says:

    Recent years have seen multiple (contentious) claims of chatbots “passing” the Turing test. Now some researchers are proposing new kinds of tests to evaluate machine intelligence in the wake of increasingly sophisticated AIs.

    Is the Turing Test Dead? Researchers wonder whether improved large language models require new tests for machine intelligence

    When Alan Turing first proposed an approach to distinguish the “minds” of machines from those of human beings in 1950, the idea that a machine could ever achieve human-level intelligence was almost laughable.

    In the Turing test—which Turing himself originally called the “imitation game“—human participants conduct a conversation with unknown users to determine if they’re talking to a human or a computer. In 2014, a chatbot masquerading as a Ukrainian teenager named Eugene Goostman seemed to put one of the first nails in the Turing test’s coffin by fooling more than one-third of human interrogators into thinking they were talking to another human, although some researchers dispute the claim that the chatbot passed the test.

    Today, we run into seemingly intelligent machines all day long.


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