Apple is betting that privacy can be its key differentiator in the increasingly competitive AI assistant space. According to reports, the company plans to introduce a more chatbot-like version of Siri with the release of iOS 27, which will include an option for users to automatically delete their chat histories. This feature will allow users to choose between retaining conversations for 30 days, one year, or permanently. Such granular control over data retention is a stark contrast to the offerings from major competitors like Google and OpenAI, which typically only provide temporary incognito modes, if any at all.

The revamped Siri is expected to leverage advanced language models to handle more complex queries and carry on contextual conversations, similar to what users have come to expect from ChatGPT or Google Assistant. However, Apple's emphasis on privacy could appeal to users who are increasingly anxious about how their data is used by AI systems. By offering auto-deleting chats, Apple aims to reassure users that their conversations with Siri are not stored indefinitely without their consent.

This privacy-first approach is not entirely new for Apple. The company has long positioned itself as a champion of user privacy, with features like on-device processing and differential privacy. However, the auto-deleting chat option represents a more explicit commitment to data minimization in the context of AI. It remains to be seen whether this will be enough to win over users who have grown accustomed to the convenience of persistent chat histories offered by competitors.

The move also highlights the ongoing tension between convenience and privacy in the AI industry. While persistent chat histories allow for more personalized and seamless interactions, they also raise concerns about data security and user surveillance. Apple's decision to give users control over their data retention could set a new standard for AI assistants, potentially pressuring other companies to adopt similar features.

For users, the auto-deleting option will likely be a welcome addition, especially for those who use Siri for sensitive tasks or discussions. The ability to set a retention period of 30 days or one year provides flexibility while ensuring that conversations are not stored indefinitely. This could be particularly appealing for business users or individuals concerned about their digital footprint.

It is unclear when exactly iOS 27 will be released, but it is expected to debut alongside the next major iPhone lineup in 2026. Apple has not officially confirmed the feature, but the report aligns with the company's broader strategy of integrating more advanced AI capabilities while maintaining its privacy stance. As the AI landscape continues to evolve, Apple's decision to prioritize user privacy could prove to be a savvy move, even if it means sacrificing some convenience.

In the meantime, users can expect more details about the revamped Siri and its privacy features as the release of iOS 27 approaches. Apple's ability to balance innovation with privacy will likely determine the success of its AI assistant in an increasingly crowded market.

The Hellenic Fire Service and Civil Protection of Greece have announced the deployment of more than 100 unmanned aerial vehicles (UAVs) for the upcoming wildfire season. These drones are equipped with advanced thermal cameras and artificial intelligence systems designed to monitor, detect, and manage forest fires in real time. The initiative aims to bolster the country's firefighting capabilities amid increasingly severe wildfire seasons exacerbated by climate change.

The drones are fitted with high-resolution thermal imaging sensors that can detect heat signatures from small fires even before they become visible to the naked eye. The onboard AI algorithms analyze the thermal data to distinguish between actual fires and false positives, such as heat from vehicles or industrial activity. Once a potential fire is identified, the system automatically alerts the nearest fire station and provides precise GPS coordinates, enabling rapid response.

In addition to detection, the drones are capable of real-time tracking of fire spread, using AI to predict the fire's trajectory based on wind speed, terrain, and vegetation type. This information is relayed to ground teams and aerial firefighting units, helping them allocate resources more effectively. The drones can also operate in swarms, covering large areas simultaneously, and can stay aloft for up to 12 hours on a single charge.

Greece has faced devastating wildfires in recent years, including the 2023 blazes that burned over 150,000 hectares of forest and caused multiple fatalities. The deployment of drones is part of a broader €2.1 billion investment in civil protection infrastructure, which includes new firefighting aircraft, satellite monitoring systems, and enhanced coordination centers. Similar drone-based fire detection systems have been successfully tested in Spain, Portugal, and California.

The drones will be stationed in high-risk areas such as the Peloponnese, Attica, and the islands of Evia and Rhodes. They will operate from dawn until dusk during the high-risk season, which runs from May to October. The program is a collaboration between the Greek government, the European Union's Civil Protection Mechanism, and private technology firms specializing in drone and AI solutions.

For residents and tourists, the drone network means earlier warnings and faster firefighting responses, potentially reducing property damage and saving lives. The system is also expected to minimize the need for ground patrols, reducing risks to human firefighters. There are no additional costs to the public, as the program is fully funded by state and EU budgets.

While the drone deployment is a significant step, challenges remain. The system's effectiveness depends on weather conditions, as heavy rain or strong winds can ground the UAVs. Privacy concerns have also been raised, though officials emphasize that the drones are used solely for fire detection and do not record personal data. In the coming months, the system will undergo real-world testing, with officials planning to expand the fleet to 200 drones by 2026.

A recent Gallup survey has uncovered a notable divide in American public opinion regarding the placement of artificial intelligence data centers. The poll indicates that a majority of respondents oppose having these facilities built near their homes, reflecting a broader unease with the rapid expansion of AI infrastructure. The survey, conducted in early 2025, questioned over 1,000 adults across the United States about their views on various energy and technology installations in their communities.

Specifically, the Gallup poll found that 56% of Americans would object to a data center powering AI being constructed in their residential area. This opposition is stronger than that for other types of energy facilities, such as solar farms or wind turbines, which saw lower disapproval rates. The survey suggests that while many Americans support the development of AI technology in principle, they are less enthusiastic when it comes to the physical infrastructure required to support it.

Data centers are essential for training and running large AI models, consuming vast amounts of electricity and water for cooling. The facilities often require significant land use and can generate noise, traffic, and visual impacts on surrounding neighborhoods. These factors likely contribute to the public's reluctance to have them nearby, despite the potential economic benefits such as job creation and local tax revenue.

Interestingly, the Gallup survey also revealed that Americans are more tolerant of other energy-related infrastructure. For instance, only 39% opposed new solar farms near their homes, and 44% opposed new wind turbines. In contrast, opposition to natural gas power plants stood at 51%, still lower than the 56% for AI data centers. This indicates that the public perceives AI data centers as particularly intrusive or undesirable compared to more familiar energy projects.

The findings come as tech giants like Google, Microsoft, and Amazon race to build new data centers to meet the growing demand for AI services. These companies have faced increasing scrutiny from local communities and lawmakers over the environmental and social impacts of their facilities. In some regions, proposed data centers have sparked protests and legal challenges from residents concerned about water usage, energy consumption, and property values.

For the average American, the rise of AI data centers may feel abstract until a facility is proposed in their own backyard. The Gallup poll underscores a NIMBY (Not In My Back Yard) sentiment that could complicate the expansion of AI infrastructure. Tech companies may need to invest more in community engagement, transparency, and mitigation measures to win local support.

Looking ahead, the survey results could influence how and where data centers are built. Policymakers and industry leaders may need to address public concerns through better site selection, use of renewable energy, and community benefit agreements. The debate is likely to intensify as AI adoption grows and more data centers are planned across the country.

Former Google CEO Eric Schmidt faced a hostile reception at the University of Arizona's commencement ceremony on Friday, where his enthusiastic endorsement of artificial intelligence was repeatedly drowned out by boos from graduating students. The incident highlights growing tensions between tech leaders and young professionals entering a labor market increasingly disrupted by automation. Schmidt, who served as Google's CEO from 2001 to 2011, was invited to deliver the keynote address but quickly encountered resistance when he shifted focus to AI's potential benefits.

During his speech, Schmidt acknowledged the widespread anxiety among graduates, calling fears "that the machines are coming, that the jobs are evaporating, that the climate is breaking, that politics are fractured, and that you are inheriting a mess that you did not create" as "rational." However, his attempts to pivot toward optimism about AI's transformative power were met with audible disapproval from the audience. The boos intensified as he continued to champion AI as a tool for solving global challenges, with many students visibly frustrated by what they perceived as tone-deaf cheerleading.

The reaction reflects a broader generational divide on AI, with younger workers particularly concerned about job displacement and economic inequality. A 2023 Pew Research study found that 52% of Americans under 30 are worried about AI's impact on employment, compared to 38% of those over 50. Schmidt's defense of AI as a net positive for society clashed with the lived reality of students who have witnessed industries like journalism, retail, and customer service shrink due to automation.

Schmidt's speech also touched on climate change and political polarization, but his primary focus remained on AI's potential to revolutionize healthcare, education, and energy. He urged graduates to embrace AI as a collaborative partner rather than a threat, stating that "the future belongs to those who understand and harness this technology." Yet, his remarks failed to resonate with an audience more concerned about immediate job prospects in an economy where AI is already replacing entry-level positions.

The incident is not isolated; tech executives have faced similar backlash at other universities. In 2023, Meta CEO Mark Zuckerberg was heckled during a Q&A at MIT over AI ethics, and OpenAI's Sam Altman drew criticism at Stanford for downplaying AI safety risks. These confrontations underscore a growing skepticism toward Silicon Valley's narrative of inevitable progress without adequate safeguards for workers.

For University of Arizona graduates, the booing served as a public rejection of Schmidt's vision. Many students took to social media afterward, expressing frustration that the university chose a speaker seemingly out of touch with their concerns. One graduate tweeted, "We don't need a lecture on how AI will save the world when we can't even find jobs that pay a living wage."

Schmidt concluded his address by acknowledging the tension but remained steadfast in his message. "I understand your fear, but I ask you to channel that energy into shaping this technology for good," he said. The university has not commented on the incident, though it is unlikely to invite Schmidt back in the near future. As AI continues to evolve, the debate between its proponents and critics will only intensify, with commencement stages becoming unexpected battlegrounds for this ideological clash.