Techstrong News Recap – May 15, 2023

Hi again, everyone. Here are the headlines from May 15th. First up, Google has revealed its plans to incorporate artificial intelligence technology into its dominant search engine.

Google has been testing its own generative AI chat bot named Bard that was initially available to selected individuals, but Google has now announced it's availability to users in over 180 countries with plans to expand the languages beyond English. While the timeline for deploying generative AI results for all search engine users is not yet determined, Google plans to introduce AI features across their entire product line from search to email to photo editing. As Google navigates this AI transition, it aims to balance cutting edge advancements with the preservation of its reputation for delivering reliable search results.

With Google's search engine being synonymous with the internet searches for the past 20 years, it now has some competition. The company is facing increasing pressure to demonstrate how its search engine will maintain its popularity and leadership position in an already crowded market of open AI's, Chad, G B T by News, Ernie, and countless other generative AI systems. Next, Italy's antitrust authority has initiated an investigation into Apple following accusations of engaging in anti-competitive conduct and exploiting its dominant position in the Apple market.

The authority alleges that Apple's privacy policy for third party developers is more restrictive than its policy for its own apps. Furthermore, the Italian regulator claims that the outside developers face limitations in accessing crucial data provided by Apple, which relates to the effectiveness of advertising and gives, allegedly gives Apple its own apps an advantage in terms of revenue. The authority argues that Apple's alleged discriminatory behavior may lead to a decline in advertising revenue for third party developers and impede competition with the apps within the app store.

In response to the investigation, Apple's defendant is app tracking transparency framework by emphasizing that it provides users with the choice of allowing apps to track their activities. Additionally, the company asserts that all the rules are applied equally to all developers, including their own and expresses its willingness to cooperate with the Italian anti-trust authority in addressing any concerns. In other news, Toyota revealed a significant data breach affecting its cloud-based connected service and has put information of over 200 million vehicles at risk.

Toyota's connected service provides maintenance reminders, streaming entertainment and emergency assistance, including crash response and stolen vehicle tracking. The breach, which lasted all the way back from January of 2012 to April of this year exclusively affects vehicles in Japan. While there have not been an any reported issues stemming from the breach senate of data at risk includes the vehicle identification numbers, location, history, and video footage captured by the vehicle's driver recorders.

However, Toyota assures that this information alone cannot be used to identify in individual owners. Toyota has also fixed the system flaw that allowed external access to the data and assured customers that the issue has been resolved, making it safe to continue driving the affected vehicles without the need for repairs. The breach though represents A major embarrassment for Toyota, known for its emphasis on quality and attention to detail, and highlights the importance of robust cybersecurity measures in automotive industries.

Next, OpenAI is developing a tool that automatically identifies which parts of a large language model are responsible for its behaviors. This new tool comes as there have been increased scrutiny in criticism that LLMs are just a black box being difficult for even data scientists to understand why the models respond the way that they do. Open AI's new tool uses a language model to figure out the functions of the components of other architecturally simpler LLMs.

It breaks down the models into their individual pieces and generates explanations for what each neuron is doing. Researchers have been able to generate explanations for all 307,200 neurons at Open AI's Chat GBT two model, but the tool is only confident in its explanations for about 1000 of those neurons. The researchers say that tools like these could one day be used to improve in LLMs performance to cut down a bias or toxicity on cloud native.

Now we have an article looking at how Red Hat has extended the scope of its pod man container tool for running containers on Linux. This new capability will make it easier for admins to automatically pre-configure workloads and instances of Microsoft S SQL L without using a command line interface. com.

On digital CX O, we have an article looking at IBM's annual Think 2023 summit. At the event, AI repeatedly was highlighted from the unveiling of Watson X to how IBM is betting on AI as a tool for digital transformation. Our editor, Amanda Rosa, was there for the event and gives us the details as well as her thoughts.

com. Finally, on Security Boulevard, we have an article looking at how Okta added a security center that will provide real-time threat visibility. Okta has stated that this will help organizations to monitor attacks that compromise the identity of end users.

com, and that's today's Techstrong News Recap.