Meta’s Threads launches, OpenAI introduces GPT-4, and Pornhub restricts access

Welcome to TechCrunch’s Week in Review (WiR), your go-to roundup of the week’s top tech news stories. If you’ve been too busy to keep up with the latest developments, don’t worry – we’ve got you covered.

Last week, despite the disruption caused by the July 4th holiday, there were several significant events. Meta launched Threads, its rival to Twitter, which quickly gained millions of users. Meanwhile, Twitter quietly removed the login requirement for viewing tweets, just days after implementing it. In addition, secretive hardware startup Humane revealed details about its first product, and OpenAI made its GPT-4 generative AI model available to the public.

Read on for more highlights from the week, and if you haven’t already, sign up for our newsletter to get WiR delivered to your inbox every Saturday.

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Threads goes live: Instagram launched Threads, a text-based social networking app that allows users to post short updates. The app gained over 30 million sign-ups within 24 hours, but it is not available in the EU due to data privacy regulations.

Twitter takes the gloves off: Twitter threatened to sue Meta, accusing the company of poaching former Twitter employees to create its Threads platform.

A tough thread to delete: Deleting a Threads account requires deleting the linked Instagram account, which surprised many users.

OpenAI launches GPT-4: OpenAI made its GPT-4 model available through its paid API. GPT-4 can generate text, accept image and text inputs, and performs at a “human level” on professional and academic benchmarks.

Humane unveils the Ai Pin: Humane revealed details about its first product, a wearable gadget with a projected display and AI-powered features.

Pornhub blocks access: Pornhub blocked access to users in Mississippi, Virginia, and Utah due to new age verification laws.

Reddit’s valuation gets cut, again: Fidelity further reduced its estimated valuation of Reddit, now valuing it at $5.5 billion.

Goldman looks to ditch Apple: Goldman Sachs is reportedly seeking to end its high-profile partnership with Apple.

Audio

If you’re looking for a podcast to listen to, we have some great suggestions for you. Check out “Equity” featuring an interview with Mercury’s CEO and co-founder, and “Found” with an interview with the co-founder of Farmers Business Network.

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TC+ subscribers can access in-depth commentary, analysis, and surveys. If you’re not a subscriber, consider signing up. Here are some highlights from this week:

Europe, the fuzzy tech cloud: Haje explores the differences between the U.S. and European startup environments.

Moving to save cash: Peyton Carr discusses the financial benefits and complexities of relocating for tax reasons.

Being a Black founder in France: Dom sheds light on the challenges faced by Black entrepreneurs in the French startup ecosystem.


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From Cryptocurrency to Smart Contracts: The Many Applications of Blockchain

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From Cryptocurrency to Smart Contracts: The Many Applications of Blockchain

Blockchain technology, originally designed to serve as a decentralized ledger for Bitcoin transactions, has emerged as a game-changing innovation with a myriad of applications across various industries. While cryptocurrencies like Bitcoin and Ethereum have garnered significant attention, the underlying technology powering them, called blockchain, has the potential to revolutionize many aspects of our lives beyond finance.

At its core, blockchain is a distributed ledger that records and verifies transactions across multiple computers, ensuring transparency, security, and immutability. This revolutionary technology can enhance efficiency, reduce costs, and improve trust in a wide range of fields. Let’s explore some of the exciting applications of blockchain beyond cryptocurrency:

1. Supply Chain Management:
Blockchain can transform supply chain management by providing end-to-end visibility and traceability. With blockchain, each step in the supply chain, from raw material sourcing to final product delivery, can be verified and stored on an immutable ledger, minimizing fraud, counterfeiting, and ensuring ethical practices. This transparency allows companies and consumers to make informed choices about the products they purchase.

2. Healthcare:
In the healthcare industry, the use of blockchain technology can lead to improved data security, interoperability, and patient privacy. Medical records, clinical trials, and pharmaceutical supply chains can be securely stored and shared on blockchain networks, reducing administrative costs, eliminating inefficiencies, and enhancing patient care coordination.

3. Real Estate:
Blockchain has the potential to revolutionize the real estate industry by simplifying processes, reducing fraud, and increasing transparency. Recording property ownership and transactions on a blockchain can eliminate the need for intermediaries, such as lawyers and brokers, reducing costs and minimizing disputes. Additionally, blockchain-enabled smart contracts can automate property lease agreements and streamline rental payments.

4. Voting Systems:
Blockchain-based voting systems have the potential to enhance the integrity and transparency of elections. By recording votes on an immutable ledger, it becomes virtually impossible to tamper with or manipulate the results. Blockchain can also increase participation by enabling remote voting and reducing the barriers to entry, such as identification requirements.

5. Intellectual Property Protection:
Protecting intellectual property rights can be a challenging process. Blockchain technology can provide a decentralized and tamper-proof platform for documenting and enforcing copyrights, patents, and trademarks. This ensures that creators are duly credited and rewarded for their work, reducing infringement and promoting innovation.

6. Energy Trading:
Decentralized energy trading is another area where blockchain can make a significant impact. By leveraging blockchain’s transparent and auditable nature, individuals and businesses can directly trade excess energy generated from renewable sources. This peer-to-peer energy trading can enable a more efficient and sustainable energy market, reducing reliance on traditional utility companies.

7. Supply Chain Finance:
Blockchain can streamline supply chain financing by facilitating instant and secure transactions between suppliers, manufacturers, and buyers. Smart contracts can automatically trigger payments based on predefined conditions, such as delivery confirmation or quality check, reducing the need for intermediaries and the associated costs.

These are just a few examples of how far-reaching the applications of blockchain technology can be. From transforming traditional industries to enabling entirely new business models, blockchain has the potential to reshape our society in remarkable ways. However, as with any transformative technology, it is crucial to address challenges such as scalability, interoperability, and regulatory frameworks to fully unlock the potential of blockchain. With ongoing research and innovation, the possibilities for blockchain applications are seemingly boundless.
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Generative AI Burdens the Web with Spam: A Recap of the Week

Staying updated in the rapidly evolving AI industry can be challenging. To help you stay informed, here is a summary of recent developments in the field of machine learning. SpeedyBrand, a company utilizing generative AI for SEO-optimized content creation, recently emerged and received backing from Y Combinator. However, the rise of generative AI has also led to an increase in low-quality content and misinformation. Newsguard uncovered numerous ad-supported sites using generative AI to create misleading content, causing concerns for advertisers. The scalability of generative AI makes it difficult for search engines and ad platforms to effectively combat this problem. While spammy content is not new, the low barrier to entry and cost involved in generative AI exacerbates the issue. OpenAI launched GPT-4, an advanced text-generating model that outperforms its predecessor, GPT-3.5, by accepting image and text inputs. OpenAI also created a team to develop methods for guiding and controlling “superintelligent” AI systems. New York City implemented a law requiring employers to submit algorithms used in hiring and promotion for an independent audit. Valve clarified its policy on AI-generated assets in games distributed on its Steam platform. Humane unveiled its first product, the Ai Pin, a wearable gadget with AI capabilities. European tech leaders signed an open letter warning against EU laws that could hamper generative AI innovation. Additionally, deepfake scams, AI-generated sex toys, and other machine learning projects were highlighted. Notable projects include a smart intubation device, ETH Zurich researchers’ contribution to animating smoke and fire for a Pixar movie, and the use of AI in archaeology to discover new Nasca lines in Peru. AI is also being employed to predict natural disasters such as wildfires and landslides. Finally, Google is researching “machine unlearning” to prevent ML systems from propagating dangerous or harmful knowledge.

Threads: Meta’s Vision Shifts from Public Square to Mega-Mall

Meta’s Threads app, which is meant to be a rival to Twitter, is not living up to expectations. The company seems uninterested in cultivating the app into a useful platform for breaking news and world events. In response to a question, Instagram head Adam Mosseri stated that Meta’s goal is not to replace Twitter, but rather to create a space on Instagram for communities that are not interested in the angry conversations that often occur on Twitter. Mosseri’s comments are concerning because they mirror Facebook’s claims of being a neutral platform while incentivizing certain types of content and behaviors that contribute to polarization and extremism. Despite Meta’s attempts to distance itself from politics and hard news, it is inevitable that these topics will find their way onto Threads. Without proper countermeasures in place, misinformation and extremism could outweigh legitimate news sources on the app. Meta’s lack of interest in supporting journalism is evident in their actions, such as blocking access to news in Canada to protest a law requiring compensation for publishers. Mosseri’s views on the public square are misguided and disregard the historical importance of public spaces for political discourse and cultural exchange. Meta’s focus on commodifying public life and inundating the app with advertisements aligns with their narrow vision but is disappointing for a platform that had the potential to be a successful alternative to Twitter.

The Future of Business: How Machine Learning is Changing the Game

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The future of business is rapidly evolving, and one of the key driving forces behind this transformation is machine learning. Machine learning is a subset of artificial intelligence that focuses on computer programs that can learn and improve from experience without being explicitly programmed. This innovative technology is changing the game for businesses in various ways, enabling them to operate more efficiently and effectively.

One notable area where machine learning is making a significant impact is customer service. Traditionally, customer service was a time-consuming process, with representatives manually handling queries and complaints. Now, machine learning algorithms can analyze vast amounts of customer data, identify patterns, and provide personalized solutions in a fraction of the time. This not only enhances the customer experience but also improves customer satisfaction and loyalty.

In addition to customer service, machine learning is revolutionizing the marketing industry. Marketing campaigns no longer need to rely on guesswork and generic targeting. With machine learning, marketers can analyze consumer behavior, preferences, and demographics to create highly targeted and personalized campaigns. This not only saves time and resources but also significantly increases the chances of success.

Financial institutions have also started leveraging machine learning for fraud detection and prevention. Machine learning algorithms can quickly identify unusual patterns in financial transactions and raise red flags when suspicious activity is detected. This proactive approach not only saves businesses and customers from potential monetary losses but also protects the reputation and integrity of the institutions involved.

Machine learning also holds tremendous potential for supply chain optimization. By analyzing historical data, machine learning algorithms can accurately predict demand patterns, optimize inventory levels, and minimize costs. This enables businesses to anticipate customer needs, reduce waste, and improve overall efficiency.

Another area where machine learning is disrupting the traditional business landscape is in the realm of hiring and talent acquisition. Recruitment processes can be time-consuming, subjective, and prone to biases. Machine learning algorithms can analyze applicant data, qualifications, and previous performance to identify the best candidates for specific roles. This not only streamlines the hiring process but also ensures that businesses select the most qualified individuals for the job.

As machine learning continues to evolve, it has become more accessible to businesses of all sizes. Cloud-based machine learning platforms and tools are now available, allowing even small businesses to leverage the power of this technology. This democratization of machine learning opens up new possibilities and levels the playing field for all businesses, regardless of their size or resources.

However, it’s important to note that machine learning is not without its challenges. Businesses must navigate the ethical considerations associated with using personal data, address biases present in algorithmic decision-making processes, and ensure transparency and accountability in their use of machine learning technologies.

In conclusion, the future of business is undoubtedly being shaped by machine learning. From improved customer service and targeted marketing to fraud detection and supply chain optimization, machine learning is transforming the way businesses operate. As this technology continues to advance, it is crucial for businesses to embrace and navigate its potential, in order to stay competitive in this ever-changing business landscape.
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‘Beware: Martin Lewis alerts public to the emergence of first-ever ‘deepfake’ scam ad propagating on Facebook’

To witness the alarming rise of AI-generated deepfakes and the sophisticated deception they enable, take a look at this clip featuring Martin Lewis, a prominent consumer finance advocate from the UK, allegedly endorsing an investment opportunity supported by Elon Musk.

But here’s the catch: the video footage, which is also embedded in the tweet below, is a deepfake created by artificial intelligence, and the investment opportunity is actually a scam not endorsed by Musk or Lewis. Lewis himself never appears in advertisements to support third-party products or services, though scammers persistently misuse his image in social media ads to deceive people into giving away their money.

According to Lewis, who discussed the deepfake during an interview on ITV’s Good Morning Britain (GMB), the video of him promoting the investment scam has been circulating on Facebook. He is extremely angry about this, especially since he previously sued Facebook for allowing scam ads featuring his image and achieved some changes in how the platform operates. Lewis settled the defamation suit against Facebook in 2019 with some concessions from the company.

Lewis believes that this deepfake video is the first of its kind and is deeply concerned about its implications. He emphasized the need for proper regulation of scam advertisements, a cause he has been championing for years.

While Lewis settled his lawsuit against Facebook, the problem of scam ads remains prevalent, with Brits losing a significant amount of money to fraud and financial scams every year. Meanwhile, Facebook’s parent company Meta generates enormous revenue from its ad-targeting tools, which scammers exploit to ensure their deceptive messages reach vulnerable users. Meta claims to proactively remove such ads and even removed numerous copycat ads featuring Lewis’ image, but it did not provide a satisfactory explanation for how the scam involving the deepfake was able to be uploaded to the platform.

In addition to holding Facebook/Meta accountable, Lewis also criticized the UK government for its inadequate response to the issue of scam ads. Despite consultations and revisions to legislation, the Online Safety Bill has not been passed yet, leaving UK web users vulnerable to the weak enforcement of ad platforms’ terms and conditions.

Lewis urged viewers to remember that every time they see one of these ads, the Big Tech firms are being paid to promote them, and these ads have the potential to ruin people’s lives, both vulnerable and non-vulnerable individuals alike.

AV protesters in San Francisco using traffic cones to sabotage Robotaxis

A group of safe streets activists in San Francisco have found a way to disable Cruise and Waymo robotaxis by placing traffic cones on the vehicles’ hoods. They have named this prank the “Week of Cone” and are encouraging others to join in as a form of protest against the proliferation of robotaxi services in the city. This protest comes ahead of a hearing that will likely lead to the expansion of Waymo and Cruise’s robotaxi services in San Francisco. The California Public Utilities Commission (CPUC) is set to approve the expansion, which would allow these companies to charge passengers for their services. However, there has been opposition to this expansion, with concerns about the impact on traffic, public transit, and emergency responders. The Safe Street Rebel group is using the cone campaign to raise awareness and gather public comments to be submitted to the CPUC before the hearing. They argue that these companies promise to reduce traffic, but instead, their vehicles block roads and cause inconvenience. While there have been instances of accidents involving autonomous vehicles, such as the recent incident where a Waymo vehicle hit and killed a dog, there is no evidence to support claims that these companies are working with law enforcement to record everyone all the time. The group raises a common concern about the lack of public input in the deployment of autonomous vehicles on public roads. State departments of transportation and departments of motor vehicles are responsible for most regulation in this area, as congressional efforts have been slow. Waymo has criticized the cone hack as vandalism, but it is unlikely that it will result in any legal consequences. Despite the protests, it is expected that the CPUC will approve the expansion of these robotaxi services, as there is support from other stakeholders. The agency deems the proposed services to have minimal safety risks.

From Alexa to Autonomous Cars: Understanding the Range of AI Applications

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From Alexa to Autonomous Cars: Understanding the Range of AI Applications

Artificial Intelligence (AI) has made significant advancements in recent years, revolutionizing various industries and transforming the way we live and work. Its applications are vast and diverse, ranging from everyday consumer products like voice assistants to groundbreaking innovations like autonomous vehicles. Understanding the scope and potential of AI technologies is crucial to harnessing their benefits while addressing any ethical concerns.

One of the most recognizable applications of AI technology is voice assistants like Amazon’s Alexa, Apple’s Siri, and Google Assistant. These virtual assistants utilize natural language processing and machine learning algorithms to understand and respond to user queries. By analyzing speech patterns, these programs can accurately interpret speech, retrieve relevant information, and perform various tasks such as playing music, ordering products online, or controlling smart home devices. Voice assistants have become an integral part of many households, providing convenience and efficiency in our daily lives.

In the healthcare sector, AI has shown great promise in revolutionizing diagnostics, disease prediction, and treatment. Machine learning algorithms can analyze vast amounts of medical data to identify patterns that can assist doctors in making accurate diagnoses. AI-powered imaging systems can detect anomalies and tumors in various medical scans, leading to earlier detection and potentially saving lives. Furthermore, predictive analytics can help predict the likelihood of diseases such as diabetes or heart conditions, enabling healthcare professionals to take preventive measures.

Another fascinating application of AI lies in the field of autonomous vehicles. Self-driving cars, powered by AI algorithms, have the potential to transform the transportation industry. These vehicles use a combination of sensors, cameras, and machine learning algorithms to navigate roads, make decisions, and respond to changing road conditions. Through constant data analysis and deep learning, autonomous cars can improve their performance, making them safer and more efficient. The development of autonomous vehicles has the potential to reduce traffic congestion, minimize accidents caused by human error, and provide greater accessibility to transportation for everyone.

AI has also made significant strides in the field of finance and trading. Machine learning algorithms can analyze vast amounts of financial data quickly and accurately, allowing for better predictions about stock market trends and investment opportunities. AI-powered trading platforms can automatically execute trades based on complex algorithms, leading to faster and more efficient trading decisions. This not only benefits larger financial institutions but also empowers individual investors by providing them with advanced tools and analysis to make informed trading decisions.

Beyond these notable examples, AI applications are emerging in a wide range of industries. In manufacturing, AI-powered robots can enhance productivity and efficiency by automating repetitive tasks. In agriculture, AI can optimize crop yields by analyzing weather patterns, soil conditions, and crop health. In education, AI-powered tutoring systems can provide personalized learning experiences to students. In entertainment, AI algorithms can recommend TV shows, movies, or music based on individual preferences.

However, as AI technology continues to evolve, it is essential to address the ethical implications that arise. Concerns regarding the privacy of user data, bias in algorithmic decision-making, and potential job displacement need to be properly addressed to ensure the responsible and ethical deployment of AI technologies.

In conclusion, understanding the vast range of AI applications is essential to fully appreciate the potential impact of this rapidly developing technology. From voice assistants to autonomous cars, from healthcare to finance, AI is revolutionizing various industries and transforming the way we live and work. By harnessing its power responsibly, we can benefit from the efficiency, convenience, and improved decision-making capabilities that AI technology offers.
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Chandrayaan-3 Moon Lander Mission Set for July 14 Launch by India

India’s space agency, ISRO, has announced that it will launch the Chandrayaan-3 mission on July 14. This mission is a follow-up to its previous iteration, which crashed in 2019. The mission aims to land a rover safely on the lunar surface and conduct scientific experiments. If successful, India will become the fourth country to achieve a soft landing on the Moon. The Chandrayaan-3 mission incorporates findings from the previous mission’s failure and includes new technologies such as laser and RF-based altimeters. ISRO is also working on the Gaganyaan mission, which aims to send three people to low-Earth orbit in 2024. Additionally, India has recently signed NASA’s Artemis Accords for collaboration in space exploration.

Sales of electric two-wheelers in India face a temporary setback

India, known for its reliance on two-wheelers as the primary mode of transportation, has been experiencing a shift towards electric vehicles (EVs). While fossil fuels still dominate the automotive industry, the country has sold over 1.3 million electric two-wheelers to date, putting it on track to achieve its goal of 80% electric two- and three-wheelers in the next seven years. However, recent reductions in government subsidies have resulted in a decline in electric scooter sales, potentially leading to market consolidation and exits of some players. The government revised its incentive scheme in May, reducing subsidies for electric two-wheelers. This sudden disruption caused a significant decline in electric scooter sales in June, dropping more than 56% compared to the previous month. The updated scheme applies to most electric two-wheelers in India, except for those priced above $1,800. The reduction in subsidies has prompted manufacturers to increase prices, impacting sales. The Society of Manufacturers of Electric Vehicles (SMEV) has urged the government to revise its approach, stating that the updated incentives hinder local electric two-wheeler development. Despite the challenges, some market watchers believe that manufacturers need to find ways to keep prices competitive against traditional internal combustion engine (ICE) vehicles to remain relevant. While the decrease in subsidies may initially decrease the uptake of EVs, it is recommended that some form of subsidy remains in place until at least 2027 to ensure the achievement of India’s ambitious EV targets. The decline in sales and price hikes are expected to bring about changes within the electric two-wheeler market, such as a shift in customer focus towards low-speed vehicles and the potential for market share to shift towards legacy brands and full-stack manufacturers. Manufacturers are also expected to innovate their pricing strategies and explore new models to drive EV adoption.

From Imagination to Reality: The Future of 3D Printing

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From Imagination to Reality: The Future of 3D Printing

In an era of constant technological advancements, 3D printing has emerged as a groundbreaking innovation that has the potential to revolutionize various industries. The ability to transform digital designs into tangible objects has captured the imagination of inventors, designers, and engineers alike. With its ability to fabricate complex structures with remarkable precision, 3D printing is set to shape the future of manufacturing and beyond.

One of the most significant advancements in recent years has been the increased accessibility of 3D printing technology. Once limited to large corporations and research facilities, 3D printers have become more affordable and user-friendly. This democratization of technology has allowed individuals and small businesses to experiment and leverage the benefits of 3D printing.

The impact of 3D printing is already visible in industries such as healthcare and aerospace. In the medical field, 3D printing has ushered in a new era of personalized patient care. Surgeons can now create patient-specific models before complex surgeries, enabling them to plan and practice procedures in advance, reducing the risk of errors. 3D-printed organs and prosthetics have also transformed the lives of many, offering customized solutions that were previously unimaginable.

Furthermore, aerospace companies are benefiting immensely from 3D printing technology. The ability to produce lightweight and complex parts has resulted in substantial weight reduction in aircraft, leading to improved fuel efficiency. This not only helps in reducing carbon emissions but also has a significant impact on the economics of the aviation industry.

The potential of 3D printing extends far beyond these industries. Architects and designers have begun to explore its applications in construction. With customizable 3D-printed building components, architects can create innovative structures that are not limited by traditional construction techniques. This opens up new possibilities for the design process, allowing for the creation of buildings with intricate details, reduced waste, and shorter construction timelines.

The world of fashion is also undergoing a transformation thanks to 3D printing. Designers are utilizing 3D printers to create intricate and unique pieces that were once impossible to reproduce using traditional methods. With the ability to print complex shapes and materials, fashion is becoming more accessible and sustainable, reducing waste that is typically associated with the industry.

As the technology continues to evolve, experts predict that 3D printing will become an integral part of our everyday lives. Imagine a world where replacement parts for household appliances can be instantly printed or where consumers can design and print their own products at home. This would not only reduce waste but also challenge the traditional manufacturing and supply chains.

While 3D printing holds immense promise, there are still challenges that need to be overcome. As the technology advances, ensuring the safety and quality of 3D-printed products becomes paramount. The industry needs to establish standards and regulations to ensure that objects printed using different materials and techniques meet the required safety standards.

Despite these challenges, one thing is certain: 3D printing is here to stay. It has already proven its potential in revolutionizing industries and has become a tool for creativity and innovation. With continued research, development, and collaboration, the future of 3D printing looks bright, offering limitless possibilities for invention and production. The transition from imagination to reality has just begun, and the era of 3D printing is set to shape the world as we know it.
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Chilean Market Witnesses Consolidation of Ecuadorian Paytech Kushki

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Kushki, an Ecuadorian paytech company, has received approval from the Chilean regulator to enter the acquiring business. This milestone allows Kushki to participate in the payments network in five Latin American markets. Prior to this, the company had already obtained permits to operate as a non-bank acquirer in Mexico, Peru, and Colombia. This regional consolidation process enables companies to receive money in their bank accounts across different countries, facilitating business growth beyond geographical borders. Kushki’s technological innovations, such as a 3DS system for more secure and faster transactions, aim to increase its market share in Chile. The company has experienced significant growth, with a 100% increase in Latin America and an 80% increase in Chile in 2022. Kushki’s local team is targeting double-digit growth in Chile this year.

Source: Diario Financiero.

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Meta’s Threads app delays launch in EU due to privacy concerns

Threads, the upcoming app from Meta (formerly Facebook), is facing privacy concerns even before its release. Mandatory disclosures on iOS reveal that the app may collect sensitive user information, such as health and financial data, precise location, browsing history, contacts, and search history. This raises questions about whether Threads will be able to launch in the European Union (EU), as Meta’s previous legal basis for processing personal data was deemed unlawful. The EU also requires explicit consent for the processing of sensitive information, and upcoming regulations place even stricter limits on the use of such data for advertising. Additionally, Meta recently faced an order to stop sending EU user data to the US and was fined for breaching the General Data Protection Regulation (GDPR). Bringing Meta’s advertising business in line with EU law will require significant changes. It remains uncertain whether Threads will launch in the EU, as legal risks are a concern for Meta. The app is set to launch in the UK, which has different regulatory requirements. While Meta has been fined for GDPR breaches in the past, the UK’s data protection watchdog has been relatively inactive in addressing surveillance advertising industry breaches. Meta was fined over $410 million in January for running behavioral ads on Facebook and Instagram without a valid legal basis. Under the EU’s Digital Markets Act (DMA), penalties could reach up to 10% of global annual turnover, which is higher than penalties under the GDPR. However, previous fines under the GDPR have remained below the maximum limit.

WeRide, a Chinese company, obtains self-driving vehicle license in UAE

The first national license for self-driving vehicles in the United Arab Emirates has been granted to Chinese autonomous driving company WeRide. This license permits WeRide to test its Level 4 autonomous vehicles on public roads throughout the country. Level 4 autonomy means that the vehicle can handle all aspects of driving in certain conditions without human intervention. The license is a step towards UAE ruler Sheikh Mohammed bin Rashid Al Maktoum’s goal of making 25% of the country’s transportation fully autonomous by 2030.

In addition to granting WeRide’s permit, UAE’s Council of Ministers approved a national policy for electric vehicles on Monday. This policy includes the development of a national charging network, regulation of the EV market, and support for related industries such as autonomous vehicles (AVs) that aim to reduce emissions and maintain road quality.

Dubai, the most populous city in the UAE, has been a hub for various driverless vehicle trials. The city’s Roads and Transport Authority (RTA) has set a goal of limiting the number of vehicles on Dubai’s roads and scaling up robotaxi operations to 4,000 vehicles by 2030. Companies like Cruise, a subsidiary of General Motors, have been testing and developing robotaxis in Dubai. WeRide plans to test various types of self-driving vehicles in the UAE and aims to commercialize its technology for robotaxis, robobuses, robovans, and autonomous street sweepers.

WeRide has also set its sights on Saudi Arabia, announcing plans to work with the Saudi Artificial Intelligence Company to launch a robobus route in the country.

The regulatory requirements for testing, deploying, and commercializing autonomous vehicles in the UAE are not yet clear. Testing will be carried out by the RegLab, an initiative by the General Secretariat of the Cabinet, but further information has not been provided. In the US and China, where most self-driving vehicle testing occurs, regulations are more decentralized and led by local governments. For example, in California, companies must obtain permits from the Department of Motor Vehicles and the California Public Utilities Commission to test and deploy autonomous vehicles. In Arizona, companies only need to self-certify that their vehicles can safely stop in the event of a system malfunction.

The Future of Identity Verification: Exploring the Promise of Biometric Technology

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In recent years, the world has seen a rise in the use of biometric technology for identity verification. This revolutionary form of identification relies on unique biological characteristics, such as fingerprints, facial features, and even behavioral patterns. Biometrics offers a promising future for identity verification, with numerous benefits and potential applications in various industries.

One of the primary advantages of biometric technology is its unparalleled accuracy. Unlike traditional methods of identification, such as passwords or PIN codes, biometric data is extremely difficult to replicate or forge. This makes it a highly secure form of verification, reducing the risk of identity theft or fraud. Additionally, biometrics eliminates the need to remember complex passwords or carry identification documents, streamlining the verification process and improving user experience.

The integration of biometrics into different sectors has the potential to transform various industries. In the financial sector, for example, biometric technology can enhance security measures for online transactions and banking services. Facial recognition or fingerprint scanning can replace traditional authentication methods, reducing the risks associated with stolen credit card information or fraudulent accounts.

The healthcare industry also stands to benefit greatly from biometrics. Patient identification errors or medical record mix-ups can have serious consequences, potentially leading to incorrect diagnoses or delayed treatments. By implementing biometric identification systems, hospitals and healthcare providers can ensure accurate patient identification, improving the overall quality of care and reducing medical errors.

Biometrics can also revolutionize the travel industry, making air travel more secure and efficient. Facial recognition technology, for instance, can be used to automate check-in processes or enable seamless border control. This would significantly reduce waiting times and enhance the overall travel experience while maintaining high levels of security.

Moreover, the use of biometric technology can greatly improve access control systems in various settings. From workplaces to residential areas or even public transportation, biometrics can replace traditional keycards or passwords, ensuring that only authorized individuals have access to specific locations. This eliminates the need for physical keys or cards that can be easily lost, stolen, or duplicated.

While the future of biometric technology seems promising, it is not without its challenges. Privacy concerns arise when collecting and storing personal biometric data. It is crucial to ensure that strict regulations and protocols are in place to protect individuals’ privacy and prevent misuse of their biometric information. Ethical considerations, such as consent and transparency, must also be taken into account during the implementation of biometric systems.

Moreover, the reliability and accuracy of biometric technology must be continuously improved. Factors such as lighting conditions, device quality, or changes in physical appearance can potentially affect the accuracy of biometric identification. Persistent research and development efforts are necessary to overcome these challenges and enhance the overall reliability of biometric systems.

Overall, the future of identity verification lies in the promising realm of biometric technology. Its accuracy, efficiency, and security make it an ideal solution for diverse industries, ranging from finance to healthcare and transportation. However, careful consideration must be given to privacy concerns and technological limitations. With proper regulations and ongoing advancements, biometric technology has the potential to revolutionize the way we verify our identities, leading to a more secure and convenient future.
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Konux prepares to expand AI + IoT strategies for railway optimization

If you haven’t been taking a break from technology, you’ve probably noticed the surge of AI hype that has been dominating headlines. But amidst all the buzz, Konux, an AI scale-up based in Munich, has been quietly working on applying machine learning to revolutionize transportation on railways. By utilizing proprietary sensing hardware and AI, Konux is building a SaaS business focused on predictive maintenance software-as-a-service. Its goal is to digitize and transform railway infrastructure using AI and IoT to gather real-time data and add intelligence to fixed rails. With the increasing demand for train travel and the push for sustainable transportation options, governments and railway operators are looking to digitize networks with the help of new technologies. This creates opportunities for startups like Konux to make an impact. However, Konux emphasizes that its AI business tackles a “dirty” problem, involving not just clean digital solutions, but also the challenges of sensor deployment, data extraction, and organizational change. Konux’s deep tech methods and stress-tested connected hardware allow it to measure vibration on railway tracks, detecting anomalies that may indicate potential failures. The company then provides predictive maintenance insights to railway operators through an accessible software interface. This application of AI aims to reduce service downtime and delays for passengers. Konux also supports rail operators with business intelligence on network traffic, usage monitoring, inspection planning, and scheduling. The ultimate promise of Konux’s AI and IoT-enabled technology is to unlock the potential for increased rail capacity without the need for physical expansion. By running twice as much capacity on existing train tracks, rail operators can optimize operations and address the climate challenge. Konux acknowledges that there is still work to be done in fully digitizing rail networks, but it believes that its technology can provide visibility and improve dynamic traffic management. With greater insights into network operations, operators can anticipate disruptions more effectively, minimize delays, and optimize train routing. Konux’s mission aligns with the need to double rail capacity to meet global climate commitments. The company aims to contribute to the revolution in the operations and maintenance of rail networks to unlock the missing capacity required for sustainable transportation.

Access to TweetDeck limited to Twitter verified users after 30-day period, confirms Twitter.

After experiencing difficulties accessing TweetDeck in recent days, Twitter has released an updated version of the web app. Starting in 30 days, only verified users will be able to access TweetDeck, including Twitter Blue subscribers, verified organizations, and users who have received verification from Twitter. The new version of TweetDeck will retain all saved searches and workflows from the previous version, and users can also import their columns if they choose. The updated TweetDeck will feature full composer functionality, Spaces, video docking, and polls, but Teams functionality will be temporarily unavailable. Twitter is offering a 30-day trial of the new TweetDeck before requiring users to subscribe to Twitter Blue.

Recent limitations on accessing TweetDeck were imposed by Elon Musk, resulting in certain features being unavailable. Many social media managers and brands utilize TweetDeck, so they may seek alternative platforms with better features now that it will become a paid product. Twitter has been testing a new version of TweetDeck for several years and is now globally rolling it out under new management. The company removed legacy APIs to prevent scraping, impacting the web app. Musk implemented read limits of 1,000 tweets per day for non-verified users and 10,000 for verified users.

Unlocking the Possibilities of Smart Homes with Natural Language Processing

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In recent years, the concept of smart homes has captured the imagination of many. The ability to control various aspects of our living spaces, from lighting to security, with just a few taps on our smartphones has become increasingly desirable. While smart home technology has made significant advancements, there is still ample room for growth. One area where innovation is taking place is in the field of natural language processing (NLP).

NLP is the branch of artificial intelligence (AI) that focuses on enabling computers to understand and interpret human language. With the rapid increase in voice assistants like Amazon’s Alexa, Apple’s Siri, and Google Assistant, NLP has become an integral part of our daily lives. And now, NLP is poised to unlock the full potential of smart homes.

One of the primary challenges faced by smart homes is the complexity and variety of commands required to control different devices. Currently, users need to memorize specific phrases or keywords to activate specific functionalities. However, with the integration of NLP, users will be able to interact with their smart homes using natural, conversational language. For example, instead of saying, “Alexa, turn off all the lights in the living room,” users could simply say, “Alexa, please turn off the lights in the living room.”

Another exciting application of NLP in smart homes is its ability to understand and act upon contextual cues. NLP algorithms can analyze the entire conversation history and take into account the current state of the home to provide more personalized and intelligent responses. For instance, if a user asks, “What’s the temperature in the bedroom?”, the system can provide real-time weather updates specific to that particular room.

Moreover, NLP can enable smart homes to learn and adapt to users’ preferences over time. By analyzing patterns in speech, NLP algorithms can identify individual users and customize their experiences accordingly. For example, if a particular user is accustomed to lower temperatures, the smart home system can proactively adjust the thermostat to the desired setting without explicit commands.

The integration of NLP also opens up opportunities for enhanced security and privacy in smart homes. NLP algorithms can be trained to identify and flag suspicious or unauthorized voices attempting to control the system. This feature can provide an additional layer of protection against potential intrusions or hacking attempts on smart home devices.

Additionally, NLP can empower smart homes to go beyond basic commands and engage in more nuanced conversations. Users can ask for recommendations, search for specific information, or engage in small talk with their voice assistants, making the overall experience more interactive and enjoyable.

However, as with any emerging technology, there are challenges and concerns. NLP algorithms heavily rely on data, and the quality and diversity of training data can impact their performance. Bias in training data is a significant concern, as it can perpetuate existing societal biases or create new ones in response to user interactions. Ethical considerations, such as ensuring user consent and protecting privacy, must also be addressed to manage the potential risks associated with the use of NLP in smart homes.

With the rapid advancement of NLP technology, the possibilities for smart homes are vast. From more intuitive interactions to personalized experiences and enhanced security, NLP has the potential to revolutionize the way we interact with our smart homes. As researchers and developers continue to push the boundaries of NLP, we can expect a future where our homes truly understand and cater to our needs, making everyday living effortless and enjoyable.
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Smosh Embarks on a New Era with Anthony Padilla and Ian Hecox

Ian Hecox and Anthony Padilla teamed up for their first YouTube video together in seven years, summoning a demon to get Taylor Swift tickets. The sketch was delightfully absurd, packed with pop culture references, and, above all, incredibly silly – all hallmarks of classic Smosh comedy. In an interview with TechCrunch at VidCon, Padilla described the video as reminiscent of Smosh’s early days, filled with excitement and a desire to make each other laugh. Padilla spoke with admiration for Smosh’s early videos, appreciating their unabashed playfulness and the joy they brought to viewers. This sketch marks a new era for Smosh, one of the oldest brands on YouTube. Hecox and Padilla recently acquired Smosh, more than a decade after they sold it for the first time, and are now setting an example for creators to truly own and define their content’s legacy. Although Mythical Entertainment, the former parent company, will still hold a minority stake in the brand, Smosh will regain its independence for the first time in years. This is a rare victory for creators in the ever-changing landscape of social media. Hecox expressed gratitude for having control over Smosh, highlighting the importance of owning one’s art and image. Ian Hecox and Anthony Padilla, childhood friends who started posting videos together in 2005, played a significant role in shaping YouTube’s early days with comedy sketches and vlogs. Smosh, along with its spin-off channels, became incredibly popular, and the duo continued to produce content after selling the brand to Defy Media in 2011. Smosh held the title of the most-subscribed channel on YouTube three times between 2005 and 2013, making it a content powerhouse. However, the constant output became unsustainable, and the pressure to launch apps, sitcoms, and countless sketches took a toll on Hecox and Padilla’s friendship – the core of Smosh’s brand. Living and working together left no escape from the stresses of their business partnership. They operated out of fear, avoiding conflict and letting their friendship deteriorate. Padilla admitted that they grew apart and rarely discussed anything besides Smosh and the company. Eventually, their friendship reached a point where there wasn’t much left. Padilla had been discontent for years leading up to his departure from Smosh in 2017. The split not only affected Smosh fans but also shook viewers who associated the brand with the close bond between Hecox and Padilla. The brand continued producing content without Padilla, but a year later, when Defy Media collapsed, Smosh was left without a home. Hecox found it unsettling that many bidders were only interested in Smosh’s content library. Finally, YouTubers Rhett McLaughlin and Link Neal acquired Smosh early last year. Hecox trusted them because they built Mythical Entertainment as friends creating content together. He believes that if any other company had acquired Smosh, it would now be reduced to just a content library. This acquisition by fellow creators allowed Smosh to thrive once again. McLaughlin and Neal didn’t interfere too much, letting the brand redefine its identity and avoiding the pressure to churn out content endlessly. In the years since leaving Smosh, Padilla reinvented himself as a modern talk show host. His interview series “I spent a day with” tackled taboo topics with directness, empathy, and grace. Viewers praised his style, which discussed sensitive subjects without voyeurism. While Padilla found fulfillment in the serious side of his work, he missed the creative joy that comedy writing brought him. A year ago, he stumbled upon old Smosh videos gaining popularity on TikTok, rewatched them, and felt the magic of those early years. Padilla and Hecox reconnected through mutual friends and spent time together without creating content, something they hadn’t done since their teenage years. Their friendship was rekindled thanks to personal growth and therapy. Padilla let go of the resentment that had built up before his departure, and it wasn’t long before he began dreaming of reclaiming Smosh with Hecox. He quietly devised business plans, never imagining it could become a reality. While Smosh’s other channels continued to thrive under Mythical Entertainment, Hecox felt that the main channel was struggling to find its voice. Without Padilla, the videos felt broad and disconnected from the audience. Hecox envisioned bringing the channel back to its roots with sketch comedy, but he knew it would only be possible with Padilla by his side. He shared his thoughts with Padilla in December, and they decided to test their chemistry to see if it was still there. Hecox admitted to being skeptical, but to his surprise, they fell right back into it, laughing and pitching crazy ideas. Both creators have honed their writing skills during their time apart, and their collaboration proved that they can play off each other’s strengths better than ever before. Their reunion feels like a return to form, and they are excited about the future of Smosh.

Record Number of Tesla EVs Delivered Amidst Federal Tax Credit and Price Reductions

Tesla has surpassed expectations for deliveries in the second quarter of 2023, thanks to price cuts and federal tax credits for electric vehicles.

The electric vehicle company, owned by Elon Musk, reported a record global production of 479,000 units and a record delivery of 466,140 units. This is a 10% increase from the previous quarter’s delivery of 422,875 Tesla electric vehicles, and an 83% increase compared to the same period last year. Delivery numbers are more indicative of actual sales numbers, which Tesla does not disclose.

Tesla delivered a larger number of Model 3 and Y vehicles compared to the more expensive Model S and X vehicles. Specifically, 460,211 Model 3 and Y units were delivered, along with 19,489 Model S and X units. Additionally, 5% of sales were subject to lease accounting.

About half of these deliveries likely came from Tesla’s Shanghai gigafactory, according to data from the China Passenger Car Association. In April, Tesla delivered 75,842 China-made EVs, and in May, the number increased to 77,695. Approximately 82,610 vehicles were delivered to mainland China in April and May.

In the United States, Tesla’s Model 3 vehicles now qualify for the full $7,500 EV tax credit, joining the company’s other models.

While Tesla’s price cuts have contributed to increased sales, investors are interested in how these cuts have affected profit margins. In the first quarter, the price decreases resulted in a 24% drop in net income compared to the previous year.

The second quarter earnings report will provide more insight. Tesla plans to release its earnings after the bell on July 19.