Does AI control your computer? Is Apple Intelligence disappointing? What is Google investing in? | AI News

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Artificial intelligence in practice: how is it helping now, and what will the future bring?

Artificial intelligence (AI) is a technology that is increasingly entering our lives. Thanks to it, we can improve our work, increase our comfort of life, and even fully automate certain activities. From AI-controlled computers, through Apple innovations, to legal startups that are already using new technologies – this is what the future with AI looks like and how we can use it in our everyday lives.

Anthropic: AI that will operate your computer for you

One of the fascinating new developments in the world of artificial intelligence is “Computer Use” from Anthropic. This feature gives AI the ability to control the user's computer and execute various commands – it's like having a virtual assistant that not only understands commands but also executes them. You can ask AI to browse the internet for cheap tickets, like your friends' posts on Facebook, or even perform more complex tasks, such as booking a hotel.

Although still in the testing phase, this solution is already available to users – Anthropic has released a special Linux image that you can download and run on your own computer to test this feature. With this tool, we can truly enter a world where AI performs everyday tasks for us, allowing us to focus on other things.

Problems and challenges: what does Anthropic focus on?

Naturally, every new technology comes with certain challenges. Anthropic points out that “Computer Use” is still in the testing phase and does not always work perfectly. Examples include problems with scrolling through web pages, as well as instances where the AI performs tasks other than those requested. Nevertheless, this is the first step towards true automation, which has the potential to simplify many of the everyday tasks we perform on our computers.

Security in artificial intelligence: what are Anthropic and OpenAI doing?

The development of artificial intelligence comes with great responsibility—especially when AI models can perform tasks independently on a user's computer. Anthropic takes security very seriously and regularly tests its models to ensure that the AI is not vulnerable to unauthorized actions. The company investigates whether models can take undesirable actions or be manipulated in ways that could pose a threat to users. So far, the results are promising, but security remains a priority.

OpenAI, on the other hand, although it brings its products to market faster, is also involved in security testing. Thanks to this approach, users can rest assured that the technology they use has been adequately secured against possible threats.

Apple and artificial intelligence: why are we still not seeing results?

Apple, despite being a leader in the technology market, is cautious when it comes to artificial intelligence. The latest iOS 18.1 and macOS systems feature several AI functions, such as simple text processing and graphics options. However, most of the new features that were announced are still awaiting their premiere. Apple promises that the iOS 18.2 update will include features such as “Genmoji” – on-demand emojis that can look however we want them to, e.g., “a crocodile on a skateboard.” At the moment, however, Apple still lags behind the competition.

Apple declares that their AI will work locally, which means that all our private data will remain on the device and not in the cloud. This is an approach that can provide greater security for users, although it requires more time to implement.

New AI models for image generation: a revolution in speed

Among AI models for image generation, diffusion models, on which tools such as Midjourney and Stable Diffusion are based, are currently the most popular. These models generate images by gradually removing noise from noisy images, which is a process that requires a lot of computing power and time. A new development, however, are so-called “consistency models,” which offer much faster image creation—in just two steps, rather than a thousand as before.

Researchers at OpenAI have developed a method that allows images to be generated ten times faster than traditional diffusion models, with little compromise in quality. Imagine the possibility of creating realistic images in real time – such technology has enormous potential, from media and games to advertising and visualizations in business.

AI in companies: conclusions from the Jabra report

Artificial intelligence evokes a lot of emotion, but its implementation in companies can be problematic. A report by Jabra, a manufacturer of audio devices, shows that many companies still do not know how to use AI effectively. Despite growing interest, only a dozen or so percent of managers believe that their teams are adequately trained to work with this technology. The lack of clear use cases and the lack of appropriate tools are challenges that often prevent the full potential of artificial intelligence from being realized.

Fortunately, models are emerging that offer “service as a software” – AI-based services in specific areas such as customer service or data analysis. Thanks to them, companies can outsource some of their AI activities, saving time and money.

Google invests in legal startup Genie: AI in the service of law

One of the most interesting examples of the use of artificial intelligence is Google's investment in the startup Genie, which offers automation services in the field of law.

The platform allows users to create contracts and other legal documents with the support of AI. This is particularly convenient for people who need simple documents but do not have access to a lawyer.

The startup is growing rapidly, and its features are intuitive and easy to use, which makes it increasingly popular.

FAQ

1. What are the benefits of Anthropic's “Computer Use”?

“Computer Use” allows AI to control your computer by executing your commands. You can ask AI to browse the internet, book tickets, or check social media.

2. Why is Apple putting the brakes on artificial intelligence development?

Apple is committed to privacy, so it is developing AI that works locally on the device without having to send data to the cloud. However, this takes time, which is why new AI features at Apple are appearing slowly.

3. What are consistency models and what are their advantages?

Consistency models are AI models that generate images much faster than traditional diffusion models. This allows us to generate images almost in real time, opening up new possibilities in areas such as gaming and marketing.

4. What difficulties do companies encounter when implementing AI?

Companies often do not know how to use AI effectively and lack trained specialists. In addition, the lack of specific use cases and tools limits their willingness to invest in artificial intelligence.

5. Will AI replace lawyers?

Artificial intelligence can support legal work, but its purpose is not to replace lawyers. AI helps with simple tasks such as preparing contracts, but legal decisions still require the knowledge and experience of specialists.

Glossary

• ‍Computer Use – Anthropic's artificial intelligence tool that enables AI to perform tasks on the user's computer.
• Consistency models – a new generation of image generation models that works faster and more efficiently than traditional diffusion models
• LLM (Large Language Model) – a large language model, such as ChatGPT, which analyzes and answers questions based on millions of text examples
• Service as a Software – a service delivery model where companies offer specific business solutions using artificial intelligence
• Genmoji – an Apple feature that allows users to generate unique emojis on demand based on a description

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