Recent developments in artificial intelligence (AI) have highlighted its potential to transform various industries and aspects of life. WhatsApp has introduced Private Processing, a technology that enables AI capabilities while preserving message privacy, allowing users to initiate requests to process messages in a secure environment without accessing them. Meanwhile, studies have shown that generative AI is becoming a powerful tool in the workplace, with employees using large language models as copilots and workflow agents. However, research has also found that AI chatbots have had minimal impact on wages and labor in certain occupations. Additionally, the US has passed a law to fight AI harms and deepfake abuse, requiring social media companies to take down abusive content quickly. The AI ecosystem is also gearing up for major events, such as TechCrunch Sessions: AI, where industry leaders and innovators will gather to showcase their products and innovations. As AI continues to evolve, it is crucial to adapt to its impact on education and other areas, with a focus on discussing its potential benefits and drawbacks and establishing clear policies on its usage.
Key Takeaways
- WhatsApp has introduced Private Processing, a technology that enables AI capabilities while preserving message privacy.
- Generative AI is becoming a powerful tool in the workplace, with employees using large language models as copilots and workflow agents.
- AI chatbots have had minimal impact on wages and labor in certain occupations, according to research.
- The US has passed a law to fight AI harms and deepfake abuse, requiring social media companies to take down abusive content quickly.
- TechCrunch Sessions: AI will bring together industry leaders and innovators to showcase their products and innovations.
- AI is transforming the aftermarket, with potential to streamline operations and enhance customer experience.
- Adapting to AI in education requires discussing its potential benefits and drawbacks and establishing clear policies on its usage.
- GigaIO's AI fabric has achieved breakthrough results in AI performance, cutting power consumption by 35-40% without sacrificing performance.
- CalypsoAI has been named a top-two finalist at the RSAC 2025 Innovation Sandbox contest for its innovative approach to AI security.
- Donald Trump Jr. has visited Bulgaria to participate in a business summit focused on AI investments, highlighting the potential of emerging markets.
WhatsApp Launches Private AI Processing
WhatsApp has introduced a new technology called Private Processing to enable artificial intelligence (AI) capabilities while preserving message privacy. This feature allows users to initiate a request to process messages using AI within a secure environment, and no other party, including Meta and WhatsApp, can access them. The capability is expected to be made available in the coming weeks. Private Processing is designed to facilitate the use of AI features while keeping users' messages private, and it is built with special hardware that isolates sensitive data in a Trusted Execution Environment.
WhatsApp Balances AI and Privacy
WhatsApp is rolling out cloud-based AI capabilities that are designed to preserve the app's security and privacy guarantees. The new feature, called Private Processing, is meant to address concerns about the use of AI features while keeping messages private. WhatsApp has been working to meet high-security requirements and has developed a threat model to identify potential attack vectors and vulnerabilities. The company is also planning to publish components of Private Processing and expand the scope of its Bug Bounty program to include the new feature.
Building Private Processing for WhatsApp
WhatsApp has developed a new technology called Private Processing to support AI capabilities in a privacy-preserving way. The feature allows users to initiate a request to a confidential and secure environment and use AI for processing messages without accessing them. WhatsApp has designed Private Processing with foundational requirements such as confidential processing, enforceable guarantees, and verifiable transparency. The company is also planning to publish components of Private Processing and expand the scope of its Bug Bounty program to include the new feature.
Generative AI Enhances Work at National Laboratory
A recent study by the University of Chicago and the U.S. Department of Energy's Argonne National Laboratory found that generative artificial intelligence (AI) is becoming a powerful tool in the workplace. The study examined how Argonne employees are using large language models (LLMs) and how they envision using them in the future. The researchers found that employees used generative AI in two main ways: as a copilot and as a workflow agent. The study also tracked the early adoption of Argo, the lab's internal LLM interface, and found a small but growing user base.
Generative AI Transforms Argonne National Laboratory
A study by the University of Chicago and the U.S. Department of Energy's Argonne National Laboratory found that generative artificial intelligence (AI) is changing work at the lab. The study examined how Argonne employees are using large language models (LLMs) and how they envision using them in the future. The researchers found that employees used generative AI in two main ways: as a copilot and as a workflow agent. The study also tracked the early adoption of Argo, the lab's internal LLM interface, and found a small but growing user base. The researchers recommend that organizations proactively manage security risks and set clear policies to promote the appropriate use of generative AI.
Generative AI Has Little Impact on Jobs
A study by economists Anders Humlum and Emilie Vestergaard found that generative AI chatbots have had minimal impact on wages and labor in Denmark. The study analyzed data from 11 occupations and 25,000 workers and found that AI chatbots have had no significant impact on earnings or recorded hours in any occupation. The researchers also found that the adoption of AI chatbots has been remarkably fast, but the economic outcomes have not moved the needle. The study suggests that the impact of using AI chatbots can be improved through company commitment to internal education and evangelism.
Donald Trump Jr. Visits Bulgaria for AI Investment Summit
Donald Trump Jr. has made his first official visit to Bulgaria to participate in a business summit focused on artificial intelligence (AI) investments. The event, organized by the cryptocurrency firm Nexo, aims to foster international economic cooperation and explore the intersection of technology and finance. Trump Jr. is expected to share insights from his experience in real estate and brand development, emphasizing the potential of emerging markets. The visit is part of a broader Eastern European tour that includes stops in Romania, Serbia, and Hungary.
GigaIO's Interconnect Technology Boosts AI Performance
GigaIO has unveiled its AI fabric, which has achieved breakthrough results in AI performance compared to traditional RoCE Ethernet. The AI fabric produced 2x faster training and fine-tuning and 83x better time to first token for inferencing. The technology also cuts power consumption by 35-40% without sacrificing performance. GigaIO's CEO, Alan Benjamin, said that the AI fabric isn't just faster, it's cheaper to deploy and operate, making it a compelling alternative to traditional Ethernet-based interconnects for organizations facing power constraints or seeking to optimize AI infrastructure costs.
US Law Aims to Fight AI Harms and Deepfake Abuse
The US has passed a law to fight AI harms and deepfake abuse, requiring social media companies to take down abusive content quickly. The law was borne out of the suffering of teenagers who were victimized by AI-generated images. The Take It Down Act aims to spare victims from repeated trauma and hold predators accountable. The law has received wide support from leaders on both sides of the aisle and has been hailed as a major victory for survivors and advocates.
Deadline to Book Exhibit Table for TechCrunch Sessions: AI
The deadline to book an exhibit table for TechCrunch Sessions: AI is May 9. The event will take place on June 5 and will feature AI leaders, engineers, founders, researchers, investors, and visionaries. Exhibitors will have the opportunity to showcase their AI products and innovations to a highly targeted audience. The event is expected to be a major gathering for the AI ecosystem, and exhibit tables are limited, so companies are encouraged to book their tables before they sell out.
AI in the Aftermarket with Todd Richardson
Todd Richardson, president and CEO of In Motion Brands and Atrium Solutions, discussed the potential of artificial intelligence (AI) in the aftermarket. Richardson explained that AI can help shops streamline operations and enhance customer experience, particularly in handling missed communications and after-hours customer engagement. He also cautioned against over-reliance on AI and emphasized the importance of human interaction in customer service. Richardson reported successful returns on AI investment, with 70 times the return on investment for total business and 20 times the return on new business customers.
Adapting to Artificial Intelligence in Education
An English teacher at the University of North Carolina Wilmington discussed the impact of artificial intelligence (AI) on education. The teacher, Noelle Parker, explained that AI has changed the way students approach writing assignments, with some using AI to generate content. Parker emphasized the importance of discussing AI with students and exploring its potential benefits and drawbacks. She also highlighted the need for instructors to establish clear policies on AI usage and to encourage students to think critically about the role of AI in their work.
CalypsoAI Named Top-Two Finalist at RSAC 2025
CalypsoAI has been named a top-two finalist at the RSAC 2025 Innovation Sandbox contest for its innovative approach to AI security. The company's Inference Platform offers a full-lifecycle AI security architecture that protects AI systems and agents at inference. The platform delivers real-time protection, adaptive governance, automated remediation, and dynamic exposure management for enterprises deploying AI. CalypsoAI's agents are adversarial, autonomous, and built to mirror the evolving threats enterprises face, ensuring AI stays resilient as it scales.
Sources
- WhatsApp Launches Private Processing to Enable AI Features While Protecting Message Privacy
- WhatsApp Is Gambling That It Can Add AI Features Without Compromising Privacy
- Building Private Processing for AI tools on WhatsApp
- How generative artificial intelligence is changing work at a national laboratory
- How Generative Artificial Intelligence Is Changing Work at Argonne National Laboratory
- Generative AI is not replacing jobs or hurting wages at all
- Donald Trump Jr. Embarks on Historic Visit to Bulgaria for AI Investment Summit
- GigaIO’s Power-efficient Interconnect Technology Achieves Breakthrough AI Performance: 2x Faster Training and Fine-Tuning with 83.5x Lower Latency
- The First Major US Law to Fight AI Harms and Deepfake Abuse
- The deadline to book your exhibit table for Sessions: AI is May 9
- ASW Conversations: AI and the Aftermarket, with Todd Richardson
- Adapting to Artificial Intelligence: An English teacher’s perspective on how AI has changed education
- CalypsoAI Named a Top-Two Finalist at RSAC™ 2025 Innovation Sandbox, Defining the Future of AI Security