OpenAI’s ChatGPT, Sora, and developer API experienced a significant outage on Thursday, disrupting services for over four hours. The issue began around 11 a.m. PT, with partial recovery reported by 2:05 p.m. PT. By 3:16 p.m. PT, OpenAI stated that Sora was operational, though ChatGPT users might still encounter issues accessing their chat history.
According to OpenAI’s status page, the outage was caused by one of their upstream providers, but the company did not provide further details. This marks the second major outage for OpenAI’s services in December. Two weeks ago, a similar incident attributed to a telemetry service malfunction resulted in a six-hour disruption, a notably longer downtime than usual.
Interestingly, popular platforms utilising OpenAI’s API, such as Perplexity and Siri’s Apple Intelligence integration, appeared unaffected during the outage, as confirmed by their status pages and independent testing. OpenAI is actively working to ensure full restoration of its services while addressing the root causes behind these recurring disruptions.
Jet.AI has introduced a cutting-edge AI model, ‘Ava,’ designed to revolutionise private jet bookings. Customers can communicate with Ava via phone or text to receive real-time pricing, aircraft availability, and personalised guidance. According to Jet.AI‘s founder Mike Winston, the agentic AI model offers a cost-efficient solution that enhances customer convenience while streamlining operations.
Updates to Jet.AI’s CharterGPT app accompany Ava’s launch, providing features like carbon tracking, enhanced notifications for travel updates, and deep linking for seamless access to trip details discussed with the AI. These upgrades prioritise eco-conscious decisions and user-friendly functionality.
Agentic AI, which operates autonomously to handle entire processes, is gaining momentum across industries. Intuit, for instance, plans to expand agentic AI across its platforms like TurboTax and QuickBooks through 2025, enhancing efficiency while maintaining human expert support when necessary.
AI is set to redefine retail in 2025, offering highly personalised shopping experiences. AI assistants are expected to manage up to 20% of eCommerce tasks, including product recommendations and customer service. Industry leaders like Citi and Google Cloud predict more intuitive and efficient retail processes but warn about data privacy concerns. Enhanced demand forecasting could also reduce inventory costs by 10%.
Experts highlight potential challenges, such as algorithmic biases and AI-driven fraud. Regulators worldwide are preparing new policies to ensure secure and fair AI implementation as businesses invest heavily in AI capabilities.
AI will not only handle routine tasks but also revolutionise customer interactions. With advanced behavioural insights and multimodal capabilities, businesses are poised to gain deeper understanding and engagement with their customers. However, widespread industry transformation is expected to take several years as companies address scalability and trust in AI decision-making.
Amazon and Universal Music Group (UMG) have expanded their collaboration to address issues surrounding AI in the music industry. The partnership aims to combat the unauthorised use of AI-generated content and protect artists from fraud and misattribution, while also focusing on innovations in audio, audiobooks, and livestreamed content.
The initiative comes as UMG, alongside Sony Music and Warner Music, has filed lawsuits against AI music startups, alleging unauthorised use of copyrighted material. The defendants argue their practices fall under ‘fair use,’ highlighting the ongoing debate over intellectual property and AI-generated works.
Legal experts underscore the need for clearer guidelines as businesses adopt AI tools for content creation. While AI offers opportunities for efficiency and creativity, its integration must balance innovation with copyright protection. Industry leaders like Adobe are already developing tools to ensure AI-generated content remains legally safe for commercial use.
The Indian government has launched several initiatives to strengthen consumer protection, focusing on leveraging technology and enhancing online safety. Key developments include the introduction of the AI-enabled National Consumer Helpline, the e-Maap Portal, and the Jago Grahak Jago mobile application, all designed to expedite the resolution of consumer complaints and empower citizens to make informed choices.
The government of India also highlighted the significant progress made through the three-tier consumer court system, resolving thousands of disputes this year. In the realm of e-commerce, major platforms like Reliance Retail, Tata Sons, and Zomato pledged to enhance online shopping security, reflecting the government’s commitment to ensuring consumer confidence in the digital marketplace.
The e-Daakhil Portal has been expanded nationwide, achieving 100% adoption in states like Karnataka, Punjab, and Rajasthan, making it easier for consumers to file complaints online. The Consumer Protection Authority (CCPA) is also drafting new guidelines to regulate surrogate advertising and has already taken action against 13 companies for non-compliance with existing rules.
The importance of these initiatives was underscored at the National Consumer Day event, where key officials, including Minister of State for Consumer Affairs B L Verma and TRAI Chairman Anil Kumar Lahoti, were present. The event highlighted the government’s ongoing efforts to foster a safer and more transparent consumer environment, especially in the rapidly evolving digital landscape.
AI became a defining feature of the 2024 Paris Olympics. Athletes benefited from AI-driven tools like chatbots for cybersecurity and systems offering 360-degree performance replays. AI also enhanced event safety with software monitoring crowd dynamics and abandoned objects, paving the way for future global events.
Outside the Olympics, AI was integrated into consumer technology. Car manufacturers such as Volkswagen and XPeng introduced AI-assisted features, transforming vehicles into adaptive companions. Volkswagen’s ChatGPT integration enhanced in-car assistance, while XPeng’s AI-defined car promised autonomous decision-making.
Flying taxis generated excitement but failed to soar as anticipated. Despite setbacks, companies like Volocopter and Hyundai showcased designs, while Joby secured a UK license, with commercial flights expected by 2025. Tesla unveiled the Cybercab, relying solely on AI for navigation, with a 2026 market launch planned.
Smartphones and smart glasses underwent significant innovation. Bendable phones by Motorola and Lenovo offered new flexibility, and Samsung’s toughened foldable displays impressed. Meta’s neural-interface glasses broke ground but raised privacy concerns, demonstrating the balance between progress and ethics in technology.
A satirical video imagining Spain’s political rivals embracing the festive spirit has captured attention nationwide. The AI-generated clip, created by the collective United Unknown, portrays unlikely moments of reconciliation, such as Prime Minister Pedro Sánchez and conservative leader Alberto Núñez Feijóo sharing a warm hug. Former King Juan Carlos and Queen Sofía are also shown exchanging a kiss, despite their well-documented estrangement.
The video, titled The Magic of Christmas and set to the song Rockin’ Around the Christmas Tree, uses deepfake technology to depict other striking scenes. Far-right Vox leader Santiago Abascal and Catalan separatist Gabriel Rufián are seen laughing together, while Podemos founders Íñigo Errejón and Pablo Iglesias appear to have resolved their differences, chuckling and embracing. Madrid’s conservative leader Isabel Díaz Ayuso and Labour Minister Yolanda Díaz also feature, exchanging smiles and gestures of goodwill.
Since its release on X on 20 December, the video has been viewed over 3.4 million times and received widespread acclaim for its creative ingenuity. Gabriel Rufián, one of the depicted politicians, even retweeted the post. However, not all responses have been positive, with some raising concerns about the growing realism of AI-generated content and its potential to blur the line between reality and fiction.
United Unknown describes itself as a ‘visual guerrilla’ collective, known for satirical deepfakes often targeting Spain’s political scene. While the video has been celebrated as a humorous take on political differences, it also sparks a broader conversation about the implications of AI technology in modern media.
OpenAI’s ChatGPT search tool is under scrutiny after a Guardian investigation revealed vulnerabilities to manipulation and malicious content. Hidden text on websites can alter AI responses, raising concerns over the tool’s reliability. The search feature, currently available to premium users, could misrepresent products or services by summarising planted positive content, even when negative reviews exist.
Cybersecurity researcher Jacob Larsen warned that the AI system in its current form might enable deceptive practices. Tests revealed how hidden prompts on webpages influence ChatGPT to deliver biased reviews. The same mechanism could be exploited to distribute malicious code, as highlighted in a recent cryptocurrency scam where the tool inadvertently shared credential-stealing instructions.
Experts emphasised that while combining search with AI models like ChatGPT offers potential, it also increases risks. Karsten Nohl, a scientist at SR Labs, likened such AI tools to a ‘co-pilot’ requiring oversight. Misjudgments by the technology could amplify risks, particularly as it lacks the ability to critically evaluate sources.
OpenAI acknowledges the possibility of errors, cautioning users to verify information. However, broader implications, such as how these vulnerabilities could impact website practices, remain unclear. Hidden text, while traditionally penalised by search engines like Google, may find new life in manipulating AI-based tools, posing challenges for OpenAI in securing the system.
If AI was the buzzword for 2023 and 2024, quantum computing looks set to claim the spotlight in the years ahead. Despite growing interest, much remains unknown about this transformative technology, even as leading companies explore its immense potential.
Quantum computing and AI stand as two revolutionary technologies, each with distinct principles and goals. Quantum systems operate on the principles of quantum mechanics, using qubits capable of existing in multiple states simultaneously due to superposition. Such systems can address problems far beyond the reach of classical computers, including molecular simulations for medical research and complex optimisation challenges.
AI and quantum computing intersect in areas like machine learning, though AI still depends on classical computing infrastructure. Significant hurdles remain for quantum technology, including qubit errors and scalability. The extreme sensitivity of qubits to external factors, such as vibrations and temperature, complicates their control.
Experts suggest quantum computers could become practical within 10 to 20 years. Classical computers are unlikely to be replaced, as quantum systems will primarily focus on solving tasks beyond classical capabilities. Leading companies are working to shorten development timelines, with advancements poised to transform the way technology is utilised.
Huge investments in quantum computing
Investments in quantum computing have reached record levels, with start-ups raising $1.5 billion across 50 funding rounds in 2024. Figure like this one nearly doubles the $785 million raised the previous year, setting a new benchmark. The growth in AI is partly driving these investments, as quantum computing promises to handle AI’s significant computational demands more efficiently.
Quantum computing offers unmatched speed and energy efficiency, with some estimates suggesting energy use could be reduced by up to 100 times compared to traditional supercomputers. As the demand for faster, more sustainable computing grows, quantum technologies are emerging as a key solution.
Microsoft and Atom Computing announce breakthrough
In November 2024, Microsoft and Atom Computing achieved a milestone in quantum computing. Their system linked 24 logical qubits using just 80 physical qubits, setting a record in efficiency. This advancement could transform industries like blockchain and cryptography by enabling faster problem-solving and enhancing security protocols.
Despite the challenges of implementing such systems, both companies are aiming to release a 1,000-qubit quantum computer by 2025. The development could accelerate the adoption of quantum technologies across various sectors, paving the way for breakthroughs in areas such as machine learning and materials science.
Overcoming traditional computing’s limitations
Start-ups like BlueQubit are transforming quantum computing into a practical tool for industries. The San Francisco-based company has raised $10 million to launch its Quantum-Software-as-a-Service platform, enabling businesses to use quantum processors and emulators that perform tasks up to 100 times faster than conventional systems.
Industries such as finance and pharmaceuticals are already leveraging quantum optimisation. Specialised algorithms are addressing challenges like financial modelling and drug discovery, showcasing quantum computing’s potential to surpass traditional systems in tackling complex problems.
Google among giants pushing quantum computing
Google has recently introduced its cutting-edge quantum chip, Willow, capable of solving a computational problem in just five minutes. Traditional supercomputers would require approximately 10 septillion years for the same task.
The achievement has sparked discussions about quantum computing’s link to multiverse theories. Hartmut Neven, head of Google’s Quantum AI team, suggested the performance might hint at parallel universes influencing quantum calculations. Willow’s success marks significant advancements in cryptography, material science, and artificial intelligence.
Commercialisation is already underway
Global collaborations are fast-tracking quantum technology’s commercialisation. SDT, a Korean firm, and Finnish start-up SemiQon have signed an agreement to integrate SemiQon’s silicon-based quantum processing units into SDT’s precision measurement systems.
SemiQon’s processors, designed to work with existing semiconductor infrastructure, lower production costs and enhance scalability. These partnerships pave the way for more stable and cost-effective quantum systems, bringing their use closer to mainstream industries.
Quantum technologies aiding mobile networks
Telefonica Germany and AWS are exploring quantum applications in mobile networks. Their pilot project aims to optimise mobile tower placement, improve network security with quantum encryption, and prepare for future 6G networks.
Telefonica’s migration of millions of 5G users to AWS cloud infrastructure demonstrates how combining quantum and cloud technologies can enhance network efficiency. The project highlights the growing impact of quantum computing on telecommunications.
Addressing emerging risks
Chinese researchers at Shanghai University have exposed the potential threats quantum computing poses to existing encryption standards. Using a D-Wave quantum computer, they breached algorithms critical to modern cryptographic systems, including AES-256, commonly used for securing cryptocurrency wallets.
Although current quantum hardware faces environmental and technical limitations, researchers stress the urgent need for quantum-resistant cryptography. New encryption methods are essential to safeguard digital systems against future quantum-based vulnerabilities.
Quantum computing promises revolutionary capabilities but must overcome significant challenges in scaling and stability. Its progress depends on interdisciplinary collaboration in physics, engineering, and economics. While AI thrives on rapid commercial investment, quantum technology requires long-term support to fulfil its transformative potential.
Google contractors improving the Gemini AI model have been tasked with comparing its responses against those of Anthropic’s Claude, according to internal documents reviewed by TechCrunch. The evaluation process involves scoring responses on criteria such as truthfulness and verbosity, with contractors given up to 30 minutes per prompt to determine which model performs better. Notably, some outputs identify themselves as Claude, sparking questions about Google’s use of its competitor’s model.
Claude’s responses, known for emphasising safety, have sometimes refused to answer prompts deemed unsafe, unlike Gemini, which has faced criticism for safety violations. One such instance involved Gemini generating responses flagged for inappropriate content. Despite Google’s significant investment in Anthropic, Claude’s terms of service prohibit its use to train or build competing AI models without prior approval.
A spokesperson for Google DeepMind stated that while the company compares model outputs for evaluation purposes, it does not train Gemini using Anthropic models. Anthropic, however, declined to comment on whether Google had obtained permission to use Claude for these tests. Recent revelations also highlight contractor concerns over Gemini producing potentially inaccurate information on sensitive topics, including healthcare.
