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Midjourney | AI Technology, Tools, Versions, & History

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Top Questions

Who founded the Midjourney lab and when?

How does the Midjourney tool generate images?

What was a major update in Midjourney’s capabilities in 2023?

What improvements were made in Midjourney version 7?

Midjourney, generative artificial intelligence (AI) tool that creates images from user-generated text prompts. It can produce images in a photorealistic, painterly, cinematic, or surrealistic style.

History

Midjourney, Inc., was founded in San Francisco in August 2021 by entrepreneur David Holz, who had previously founded the sensor company Leap Motion (which was bought and rebranded by the British company Ultrahaptics in 2019). Holz, with a team of 10 engineers, set up an independent lab to develop the Midjourney app. In February 2022 the lab launched its Discord server to the public. Discord, a social media platform, allows users to chat in online communities. The Midjourney Discord server, which had about 20 million registered users by the end of 2024, was part of Holz’s vision for a highly collaborative AI tool. Although users initially had to have a Discord account to use the app, Midjourney, Inc., launched an independent website for the app in 2024.

Deep learning process

The Midjourney tool runs on closed-source software created with custom algorithms. The technology generates images by employing a large language model (LLM) and a diffusion model that together run algorithms on training data consisting of massive libraries of images paired with text descriptions. Midjourney’s model was trained with data from the Internet and from an open-source dataset provided by the German nonprofit LAION.

Midjourney’s Original Limits

Although the Midjourney model is a sophisticated image generator, Midjourney, Inc., originally decided that the model would not stray from the lab’s vision of generating artistic images. Founder David Holz, in a 2022 interview with the tech news website The Verge, spoke of the Midjourney model’s limitations: “We have a default style and look, and it’s artistic and beautiful, and it’s hard to push [the model] away from that, meaning you can’t really force it to make a deepfake right now.” However, the software went through an algorithm update in mid-2023 that made it easier for users to create more-convincing deepfakes.

Midjourney uses an LLM to interpret text prompts by breaking them down into their key concepts. It then converts the concepts into a latent vector, which is a numeric code with image details, such as color palette, shape, and style. Midjourney then uses a diffusion model for the final stages of the process. Such models are named for their resemblance to the concept of diffusion in physics, a process in which random molecular movement causes a net flow of matter from a region of high concentration to a region of low concentration. Diffusion models, however, are trained to apply diffusion in reverse. They add “noise,” or random values (which appear as static in an image), to make an original dataset unrecognizable; they must then “reverse” the noise in order to re-obtain the data in the form of a high-quality image.

Versions and improvements

Since February 2022 Midjourney, Inc., has released several versions of its AI tool that generated abstract and painterly images with low cohesion (indicating a lack of consistency across images). Later versions of the tool introduced upscaling and variation buttons to give users more control over the images generated. Other updates included further image customization, enhanced by knowledge of life-forms, places, and objects. In later releases, images were also improved for quality and realism. This led to controversy, especially after an image of Pope Francis wearing a puffer coat went viral on the Internet. Although Midjourney, Inc., banned the word pope following the incident, users may still create deepfakes of other public figures.

A significant advancement came in December 2023 with the release of version 6. This was the first version to allow for the integration of text directly within images. Released in April 2025, version 7 introduced a draft mode that produces prototype images at 10 times the speed and half the cost of standard mode images.

Laura Payne Tara Ramanathan



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Why AI’s greatest challenge isn’t chips, but people

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There are currently more than 2,150 artificial intelligence companies operating in Israel, about 200 of which are branches of international firms. More than half of them focus on enterprise software, healthcare, fintech, and e-commerce. Compared to the broader high-tech sector, these companies tend to be more mature, raise more capital, and operate at later stages of the corporate lifecycle. Yet in the midst of the global AI revolution, Israel faces a strategic obstacle: a shortage of skilled and experienced talent capable of pushing the sector forward.

According to Dr. Ziv Katzir, director of the TELEM AI program at the Israel Innovation Authority, the challenge is global in scope. “This is not just an Israeli phenomenon,” Katzir says. “If someone wants to build unique intellectual property and create an AI company that grows into something big and significant, they need very special people. People with master’s degrees, preferably doctorates, plus years of experience. This journey takes 10–12 years, followed by another three years of work. There are no shortcuts. Demand for these people is growing worldwide, but there is no faster path to producing them.”

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זיו קציר מנהל תוכנית תל"מ לבינה מלאכותית ברשות החדשנות

Ziv Katzir

(Photo: Chana Tayeb)

Decline in overall demand, shift to experienced workers

A new report from the Innovation Authority, prepared with the Samuel Neaman Institute for National Policy Research, shows a decline in the number of open AI positions, from 3,400 in 2023 to about 2,434 today. But the numbers mask an important trend: companies are no longer hiring juniors. Instead, they are targeting experienced experts.

Today, 65% of demand is for workers with at least three years of experience, compared to 44% in 2023. Meanwhile, demand for entry-level workers dropped from 53% to 31%. “Deep knowledge and experience are the key to success in the new world we are entering,” says Katzir. The greatest demand is for master’s degree holders with 5–6 years of experience.

The report examined companies developing core AI technologies such as image, audio, and text processing. The most sought-after roles are data scientists (40% of demand), followed by data engineers (29%) and ML-Ops specialists. Notably, 20% of roles fall into undefined and emerging categories, a reflection of how quickly the field is evolving.

“The job titles haven’t settled yet,” Katzir explains. “What we see in LinkedIn ads today looks different from a year ago, and will likely change again in the next two years.” In 2023, only 6% of advertised roles were undefined.

Academic pipeline falls short

Each year, fewer than 1,000 students in Israel graduate with advanced research degrees in fields like computer science, electrical engineering, and mathematics. Only 30%–40% enter the AI industry, roughly 300–400 new workers annually, far below demand. Within two years, the need for AI specialists is expected to reach 3,628 positions, leaving a widening gap between supply and demand.

“The current demand equals two to three full years of new graduates, and within two years, it will rise to four or five,” Katzir warns. “You can’t fold time. You can’t make 12 years into three. Long-term solutions are essential, but interim steps are needed as well.”

One clear trend is the renewed importance of formal education. A few years ago, the relevance of a bachelor’s degree for entering high-tech was questioned. Today, AI companies increasingly require advanced degrees and practical experience. “The industry has matured from a point where anyone calling themselves an AI expert was accepted as such,” Katzir says. “Now, deep knowledge and experience are recognized as the real competitive advantage.”

Efforts to bridge the gap

The Innovation Authority is pursuing several measures:

  • Expanding the talent base – Scholarships for advanced degrees and a unique IDF program that combines military service with master’s research.

  • Converting scientists from adjacent fields – Recruiting physics, chemistry, and math graduates and training them as AI researchers. “An AI researcher is first and foremost a scientist, not just a developer,” Katzir notes.

  • Bringing in experts from abroad – A pilot program launched in early 2025 to attract several hundred immigrants, returning Israelis, and foreign specialists.

However, importing talent faces limitations. Only 41% of companies say they are open to it, and 27% report barriers such as security clearance restrictions, cultural fit, regulatory hurdles, and time zone challenges.

The shortage of AI talent is not a passing issue but a challenge for years to come. The pace of technological progress, combined with the education and training bottleneck, raises questions about Israel’s ability to sustain leadership in the field. Still, Katzir remains cautiously optimistic.

“We are in a marathon, not a sprint,” he concludes. “There won’t be three times as many researchers here in two days, but Israel’s starting point is strong. If we continue to invest strategically, we can maintain Israel’s role as a global leader in AI.”



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Revealed: What our biggest companies worry about when it comes to AI – AFR

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Revealed: What our biggest companies worry about when it comes to AI  AFR



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Kakao CTO advocates treating AI as operating system, not model competition – 조선일보

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Kakao CTO advocates treating AI as operating system, not model competition  조선일보



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