Artificial intelligence (AI) is rapidly transforming the world, and by 2025, its growth is set to reach new heights. While the advancements in AI promise to reshape industries and improve daily lives, they also bring a series of challenges that need careful navigation. From enhancing workplace productivity to revolutionizing robotics, AI's journey forward is as complex as it is exciting.
In recent years, AI has evolved from basic applications like chatbots to sophisticated systems capable of assisting with diverse tasks such as drafting emails or powering robots for household chores. Companies like OpenAI and Google’s DeepMind are at the forefront of creating AI systems with the potential to match human intelligence. Despite these achievements, the path forward isn’t without obstacles.
One major challenge in AI development lies in the diminishing returns from scaling up AI models. Previously, increasing the size of AI models drove progress, but developers are now focusing on maximizing computing power to tackle complex problems. While this approach enhances AI's capabilities, it also raises costs, limiting accessibility for many users. Additionally, training data has become a bottleneck. Many of the most valuable datasets have already been utilized, leading companies to rely on AI-generated data. This practice risks introducing biases into systems, potentially resulting in inaccurate or unfair outcomes. Addressing these issues is critical to ensuring that AI remains effective and equitable.
The integration of AI into robotics is another area of rapid advancement. Robots like Tesla’s Optimus, which can perform household chores, and Amazon’s warehouse automation systems showcase the potential of AI-powered robotics. However, making such technologies affordable and adaptable remains a significant hurdle. AI is also transforming workplaces by automating repetitive tasks like email management and scheduling. While these tools promise increased efficiency, businesses must invest in training employees to use them effectively.
Regulation plays a crucial role in guiding AI’s development. Countries like those in Europe and Australia are already implementing laws to ensure the safe and ethical use of AI, particularly to mitigate its risks. Establishing global standards for AI regulation is essential to prevent misuse and steer its growth responsibly.
Looking ahead, AI is poised to continue its evolution, offering immense potential to enhance productivity, drive innovation, and create opportunities across industries. While challenges such as rising costs, data limitations, and the need for ethical oversight persist, addressing these issues thoughtfully will pave the way for AI to benefit society responsibly and sustainably.
The tech industry has been hit by a wave of layoffs, with over 150,000 workers losing their jobs at major companies like Microsoft, Tesla, Cisco, and Intel. As the market adapts to new economic realities, tech firms are restructuring to reduce costs and align with evolving demands. Below are key instances of these workforce reductions.
Intel: To save $10 billion by 2025, Intel has announced layoffs affecting 15,000 employees—approximately 15% of its workforce. The company is scaling back on marketing, capital expenditures, and R&D to address significant financial challenges in a competitive market.
Tesla: Tesla has reduced its workforce by 20,000 employees, impacting junior staff and senior executives alike. Departments like the Supercharging team were hit hardest. According to Bloomberg, these layoffs may account for up to 20% of Tesla's workforce.
Cisco: Cisco has laid off 10,000 employees in two rounds this year—a 5% reduction in February followed by another 7%. CEO Chuck Robbins noted that these changes aim to focus on areas like cybersecurity and AI while adapting to a “normalized demand environment.”
SAP: Enterprise software giant SAP is undergoing a restructuring process affecting 8,000 employees, roughly 7% of its global workforce. This initiative seeks to streamline operations and prioritize future growth areas.
Uber: Since the COVID-19 pandemic, Uber has laid off 6,700 employees, closing some business units and shifting focus away from ventures like self-driving cabs. These adjustments aim to stabilize operations amid shifting market demands.
Dell: In its second round of layoffs in two years, Dell has cut 6,000 jobs due to declining PC market demand. Additional cuts are anticipated as the company seeks to address cost pressures in a tough economic environment.
These layoffs reflect broader economic shifts as tech companies streamline operations to navigate challenges and focus on strategic priorities like AI, cybersecurity, and operational efficiency.
As Mysk Inc. cybersecurity experts Tommy Mysk and Talal Haj Bakry have shown in a recent YouTube video hackers only require a simple $169 hacking tool known as Flipper Zero, a Raspberry Pi, or just a laptop to pull the hack off.
This means that with a leaked email and a password, the owner could lose their Tesla car. The rise of AI technologies has increased phishing and social engineering attacks. As a responsible company, you must factor in such threats in your threat models.
And it's not just Tesla. You'll be surprised to know cybersecurity experts have always cautioned about the use of keyless entry in the car industry, which often leaves modern cars at risk of being hacked.
The problem isn't hacking- like breaking into software, it's a social engineering attack that tricks a car owner into handing over their information. Using a Flipper, the experts create a WiFi network called "Tesla Guest," the same name Tesla uses for its guest networks at service centers. After this, Mysk created a fake website resembling Tesla's login page.
After this, it's a cakewalk. In this case, hackers broadcast networks around a charging station, where a bored driver might be looking to connect over WiFi. The owner (here, the victim) connects to the WiFi and fills in their username and password on the fake Tesla website.
The hacker uses the provided login credentials and gains access to the real Tesla app, which prompts a two-factor authentication code. The victim puts the code into the fake site, and hackers get access to their account.
Once you've trespassed into the Tesla app, you can create a "phone key" to unlock and control the car via Bluetooth using a smartphone. Congratulations, the car is yours!
Mysk has demonstrated the attack in a YouTube video.
Mysk says that Tesla doesn't alert the owner if a new key is created, so the victim doesn't know they've been breached. And the bad guy doesn't have to steal the car right away, because the app shows the location of the car.
The Tesla owner can charge the car and take it somewhere else, the thief just has to trace the location and steal it, without needing a physical card. Yes, it's that easy.
Mysk tested the design flaw on his own Tesla and discovered he could easily create new phone keys without having access to the original key card. But Tesla has mentioned that's not possible in its owner manual.
When Mysk informed Tesla about his findings, the company said it was all by design and "intended behaviour," underplaying the flaw.
Mysk doesn't agree, stressing the design to pair a phone key is only made super easy at the cost of risking security. He argues that Tesla can easily fix this vulnerability by alerting users whenever a new phone key is created.
But without any efforts from Tesla, the car owners might as well be sitting ducks.
A sophisticated computer/machine doesn't always mean it's secure, the extra complex layers make us more vulnerable. Two decades back, all you needed to steal a car was getting a driver's key or hot-wiring the vehicle. But if your car key is a bundle of ones and zeroes, you must rethink the car's safety.
General Motors' Cruise unit has suspended all driverless operations following a recent ban in California, halting their ambitious plans for a nationwide robotaxi service.
The decision comes in response to a regulatory setback in California, a state known for its stringent rules regarding autonomous vehicle testing. The California Department of Motor Vehicles revoked Cruise's permit to operate its autonomous vehicles without a human safety driver on board, citing concerns about safety protocols and reporting procedures.
This move has forced GM Cruise to halt all of its driverless operations, effectively putting a pause on its plans to launch a commercial robotaxi service. The company had previously announced its intention to deploy a fleet of autonomous vehicles for ride-hailing purposes in San Francisco and other major cities.
The suspension of operations is a significant blow to GM Cruise, as it now faces a setback in the race to deploy fully autonomous vehicles for commercial use. Other companies in the autonomous vehicle space, including Waymo and Tesla, have been making strides in the development and deployment of their autonomous technologies.
The California ban highlights the challenges and complexities surrounding the regulation of autonomous vehicles. Striking the right balance between innovation and safety is crucial, and incidents or regulatory concerns can lead to significant delays in the deployment of this technology.
While GM Cruise has expressed its commitment to working closely with regulators to address their concerns, the current situation raises questions about the timeline for the widespread adoption of autonomous vehicles. It also emphasizes the need for a unified regulatory framework that can provide clear guidelines for the testing and deployment of autonomous technologies.
In the meantime, GM Cruise will need to reassess its strategy and potentially explore other avenues for testing and deploying its autonomous vehicles. The company has invested heavily in the development of this technology, and overcoming regulatory hurdles will be a crucial step in realizing its vision of a driverless future.
The halt to GM Cruise's driverless robotaxi operations is a clear reminder of the difficulties and unknowns associated with the advancement of autonomous car technology. The safe and effective use of this ground-breaking technology will depend on companies and regulators working together as the industry develops.
It has been confirmed in the biography that Twitter’s CEO once suggested Tesla record video of drivers' on-wheel behaviour using the internal monitoring camera. His asserted goal was to use the footage as proof to shield Tesla from inquiries in the event of a crash.
The book ‘Elon Musk’ stated that Elon Musk pushed for the usage of the internal monitoring camera to record footage of Tesla drivers at first without their awareness with the intention of using the footage as proof in investigations linked to the Autopilot ADAS.
According to an excerpt from the book, Musk was convinced that one of the main reasons for accidents was bad drivers and not bad software. "At one meeting, he suggested using data collected from the car's cameras – one of which is inside the car and focused on the driver – to prove when there was driver error," the excerpt read.
However, several privacy concerns were raised, one of them being a woman citing legal assistance from the corporation and privacy concerns about the fact that Tesla could not link the selfie streams to specific vehicles, even if they were involved in accidents.
Apparently, Musk was not happy with the answer as according to Isaacson, the "concept of 'privacy teams' did not warm his heart[…]I am the decision-maker at this company, not the privacy team. I don't even know who they are. They are so private you never know who they are," Musk said during their meeting.
Musk then recommended that a pop-up could be used instead to tell people that if they used Full Self-Driving Beta, Tesla would collect data in the event of a crash. The woman nodded, noting that "as long as we are communicating it to customers, I think we're okay with that." The exchange is quite telling of the way Elon Musk runs his companies, and also of his stance on privacy.
The pop-ups are currently a feature in Tesla vehicles, where the company will use the data from internal cameras and notifications will be provided to the users with an option to either agree or disagree with Tesla in collecting their cabin camera data. It is important to note that Tesla has not yet used inside photos of cars to defend itself in court cases or government inquiries involving the Autopilot system.
Currently, Tesla is facing a class action lawsuit in terms of video privacy, following allegations that groups of Tesla employees privately share invasive videos and images, that were the recordings of customers’ car cameras between 2019 and 2022. Another lawsuit was filed in Illinois that focused particularly on the cabin camera.
Electric vehicle (EV) technology is developing quickly, and a new group of tech aficionados called EV hackers is forming. These people want to investigate the latent possibilities of electric automobiles, not steal cars or undermine security systems. These creative minds have turned the world of EVs into a playground, adjusting performance and revealing hidden features.
The popularity of EVs has increased interest among tech-savvy people, according to a recent post on Wealth of Geeks. They view electric cars not only as a means of mobility but also as a cutting-edge technological marvel with limitless personalization options. The writer contends that "EVs represent a convergence of transportation and cutting-edge technology, and this fusion inevitably attracts hackers and tech enthusiasts."
The depth of potential within this subject was shown during an intriguing presentation at the Black Hat conference. The discussion, "Jailbreaking an Electric Vehicle: Or What It Means to Hotwire Tesla's X-Based Seat Heater," covered the intricate details of hacking electric vehicles' software. The presentation demonstrated the opportunity for personalization and modification inside the EV space without endorsing any unlawful activity.
Pushing the limits of EV technology is another area of current research at IIT CNR. Their efforts are directed toward bettering the performance and functionality of electric vehicles by comprehending and altering the underlying software. This study not only adds to the body of expanding knowledge in the area, but it also provides motivation for other tech aficionados.
Dr. Maria Rossi, a lead researcher at IIT CNR, emphasized, "Electric vehicles are not just cars; they are complex computer systems on wheels. There is so much potential to optimize and enhance their capabilities, and this is what drives our research."
While the idea of hacking may carry negative connotations, in the world of EVs, it simply means exploring the uncharted territories of electric vehicle technology. These enthusiasts are driven by a passion for innovation and a desire to unlock the full potential of electric vehicles.
In order to address the issue, Tesla recalls its [approx.] 363,000 vehicles with their “Full Self-Driving” feature to monitor and fix how it behaves around intersections and adhere to posted speed limits.
The recall was initiated as part of a larger investigation into Tesla's automated driving systems by U.S. safety regulators. Regulators had expressed doubts about how Tesla's system responded in four locations along roadways.
According to a document published by the National Highway Traffic Safety Administration (NHTSA) on Thursday, Tesla will address the issues with an online software upgrade in the coming weeks. The document adds that although Tesla is doing the recall, it does not agree with the agency’s analysis of the issue.
As per the NHTSA analysis, the system, being tested by around 400,000 Tesla owners on public roads, flags unsafe actions like driving straight through an intersection while in a turn-only lane, failing to stop completely at stop signs, and driving through an intersection during a yellow traffic light without taking proper precaution.
Moreover, the document deems that the system does not satisfactorily respond to the transformation in speed limits or might not take into account the driver's adjustments to speed. "FSD beta software that allows a vehicle to exceed speed limits or travel through intersections in an unlawful or unpredictable manner increases the risk of a crash," the document says.
A message was left Thursday urging a response from Tesla, which has shut down its media relations department.
In addition to this, Tesla has received 18 warranty claims, supposedly caused by the software from May 2019 through September 12, 2022, pertaining to the issue.
NHTSA said in a statement that it discovered the issue while conducting testing as part of an inquiry into "Full Self-Driving" and "Autopilot" software that performs some driving-related tasks. According to the NHTSA, "As required by law and after discussions with NHTSA, Tesla launched a recall to repair those defects."
Despite the infamous claim by Tesla CEO Elon Musk that their “Full Self-Driving” vehicles do not require any human intervention in order to function, Tesla on its website, along with NHTSA confirms that the cars cannot drive themselves and that owners must always be prepared to intervene at all times.
The cost of Bitcoin on Tuesday hopped above $50,000, carrying its year-to-date gain to 74%. Ongoing interest from Wall Street institutions has added to the momentum. Bitcoin rose by as much as 4.9%, to $50,547.70. The cryptocurrency at that point pared gains slightly, exchanging at $48,853.99 as of 9 a.m. ET. After ending last year with a fourth-quarter surge of 170% to around $29,000, Bitcoin token leaped to $40,000 seven days after the fact. It took just nearly a month and a half to breach the latest threshold, buoyed by endorsements from the likes of Paul Tudor Jones, Stan Druckenmiller, and Elon Musk. Bitcoin exchanged for a few cents for quite a long while after its introduction more than a decade ago.
For the third time, the Belgian research team's experts demonstrated by hacking Tesla's key fob, how anyone could easily access the car and steal it in no time. The new demonstration attack on Tesla reveals the existing vulnerabilities that Tesla still faces. It also shows security vulnerabilities in Tesla's "Keyless Entry System," one of the industry's most expensive electric vehicles. Experts at COIC (Computer Security and Industrial Cryptography) found significant security vulnerabilities in Tesla X's key fob technology. It is a small tech that allows a person to unlock a car automatically by pressing a button or just passing by.