Digital Drift | July Highlights and AdvantISS Innovations

Digital Drift | July Highlights and AdvantISS Innovations

With the end of July came the long-awaited coolness. However, in terms of IT and news in particular, the heat is only gaining momentum.

The previous month was surprisingly productive, not only for global tech giants but also for the AdvantISS team.

In the current issue of Digital Drift, you will learn about the following events:

Midsummer was also quite cheerful for AdvantISS, so today we will talk about:

Find out the details of each item in the next installment of Digital Drift!


Wiz Terminates Its Agreement With Google

Google is actively investing in the development of cybersecurity for its cloud-based products. The $23 billion deal with Wiz could have significantly improved the tech giant's position, especially in data protection.

However, the corporation's plans were disrupted by the decision of Assaf Rappaport, who decided to launch an IPO instead of merging with Google. The decision was influenced, among other things, by antitrust and investment risks, which the Wiz CEO avoided in this way.

Classification of Intelligence Gradations by OpenAI

The OpenAI team monitors the progress of its AGI development and claims that its LLM is approaching the second level out of a potential five. We will find out how true this is later.

Here is the conditional hierarchy of artificial intelligence development levels:

  • First. Conversational AI like ChatGPT-based assistants. Such solutions can easily generate content and help users in general.
  • Second. Reasoning intelligence. This level of development is comparable to human thinking, which is capable of solving basic tasks and problems and making simple decisions.
  • Third. Autonomous AI, i.e., a system that can make decisions independently and perform certain operations without human control.
  • Fourth. Innovative AI. Instead of reproduction (even database generation), the new intelligence will be able to offer truly new solutions.
  • Fifth. Organizational artificial intelligence. Conventionally, AI can replace an entire company and autonomously perform a full range of tasks that usually require hundreds of employees.

As for the pace of AI development, it is not certain.

Altman, for example, believes that the last level will be reached within a decade, while the skeptic camp sees no prospects for the next half-century. Time will tell what will happen in reality.

Another AI Scandal

Another AI scandal. However, this time, powerful tech giants have come under criticism. For instance, Apple, Nvidia, and Anthropic used AI to train their LLMs without the consent of the authors of video content on the YouTube platform.

The indignation of the creators of the materials is caused not so much by the fact of their use as by the lack of communication. Thus, most authors complain that companies could have at least written an official letter with a request or offer of cooperation.

The victims also complain that such approaches lose the value of the content and undermine the work and efforts of bloggers. Although the case mainly concerned subtitles (including those generated by the platform's functions), it has received a strong public response. So we are following the developments.

Password Leaks Again

Cybernews researchers found an interesting file called “rockyou2024.txt”. It contains 9,948,575,739 unique passwords that have been decrypted. The previous similar leak took place in 2021 when 8.4 billion passwords were leaked online.

Cybersecurity experts are sounding the alarm: in combination with open email addresses, these passwords can be used to directly attack user accounts. Potentially, this will lead to a wave of financial and reputational risks.

Therefore, if you are not sure of the strength of your password, change it to a unique one, generate it with the help of specialized software, and use MFA if possible.

Ouroboros Among AI

Have you heard of Ouroboros? A mythical creature that eats itself in an endless cycle. Something similar can happen to artificial intelligence. For example, virtually any LLM model learns from a set of data, including those generated by other systems.

This leads to a blurring of the boundaries between the original and newly created information. As a result, a bot that learns uncontrollably becomes more and more stupid and illogical. For example, if it constantly consumes the generated content, it will take it as truth and generate new materials on this basis. At the same time, the LLM that generated the previous information will learn from the new one. Collapse is inevitable.

To be fair, this problem is typical of unsupervised learning.

Innovations From Siemens

Siemens is one of the largest and oldest IT conglomerates in the world. At a recent conference, the company presented new solutions, including the Solido Simulation Suite, which includes three new AI accelerator tools (Solido SPICE, Solido FastSPICE, and Solido LibSPICE) added to the existing mixed-signal tools AFS and Eldo SPICE and Symphony.

The new systems are designed to improve the processes of modeling and simulating chips, their structure, features, etc. They significantly speed up the design and development of products, while significantly reducing risks and uncertainties.


Local News From the Life of AdvantISS

Yes, we can't boast of the same scale of achievements as global tech giants. However, this does not mean that the value of our events is insignificant.

On the contrary, we are proud of what we have achieved over the past month.

A Brand-New Case Study of ERP Development for a Legal Company

Creating an ERP for a law firm involves not only technological but also legal challenges. In particular, when it comes to building a high-quality and understandable dashboard, compliance with industry standards and legal requirements.

In one of our recent projects, we faced some challenges in practice but successfully overcame them. How did we do it?

Check out the full version of the article!

Petro Samoshkin's Publication “Google's Tech Strategy: Lessons to Learn”

Who else can teach us how to work with innovations if not the front-runner in these matters, namely Google? Petro Samoshkin has recently researched the tech giant's approach to implementing new solutions and published his material with the results.

Read the full version of the article to understand how Google focuses on building flexible and proactive integration of innovations into all its current and new products.

Research by Oleksandr Khudoteplyi on “Logistics Challenges During the Olympics”

The Olympics in Paris have already started, and at the same time, they have presented several serious issues and challenges for the authorities. Just before the start of the competition, Oleksandr Khudoteplyi published an article focusing on the logistics risks during the Olympic Games.

Read the full version of the article to better understand the current and potential issues of events of this magnitude, as well as to assess the methods that will help to mitigate them.

New LegalTech Industry Review by AdvantISS

Archaic approaches are rapidly losing their competitiveness in today's realities. This is confirmed by new trends that are replacing balanced and cautious approaches. In particular, this applies to the logistics segment, where artificial intelligence has become a new catalyst for the development, scaling, and sustainability of brands.

Learn more about the new priorities and the role of technology in the logistics market in our new article.


Well, on this positive note, the current Digital Drift comes to an end.

However, there is still a lot of work to be done, so expect a new portion of world news and an overview of the achievements of the AdvantISS team in a month.

Did you like the article? Share your thoughts on its content in the comments!

See you soon!

要查看或添加评论,请登录

社区洞察

其他会员也浏览了