Generative artificial intelligence became ubiquitous in 2024, solidifying its status as a permanent fixture in laptops, smartphones, and other everyday technology devices. As multimodal fashion trends continue to gain traction, generative AI has made significant strides in processing a diverse range of media formats, including text, video, images, and audio, and seamlessly integrating them into cohesive outputs.
As 2023 draws to a close, we revisit the most significant generative AI stories of the year at TechRepublic.
1. NVIDIA AI structure bought out
NVIDIA emerged as the undisputed champion in the AI sphere this year. Introduced in the early 1990s, the NVIDIA RIVA 128, branded as the Blackwell chip, revolutionized the graphics processing unit (GPU) landscape by effectively handling massive data processing needs. Here is the rewritten text:
Blackwell enables AI-powered coaching, analytics, and computation services for prominent tech companies such as Amazon Internet Services, Google, Meta, Microsoft, OpenAI, and xAI, among others. By October, Blackwell’s acquisition of chip processing units was imminent, set to occur within the next year, with their popularity among businesses driving the strategic move.
NVIDIA’s March sales boost, driven by Hopper chip demand, propelled the company to a remarkable market capitalization of over $2 trillion. NVIDIA has emerged as one of the world’s top three most valuable companies, ranking alongside tech giants Microsoft and Apple. Additionally, they showcase AI accelerator chips, albeit the companies behind them have not experienced the same level of exponential growth as NVIDIA’s.
Within the burgeoning landscape of generative artificial intelligence, the proliferation of powerful processing units is merely one harbinger of a multitude of far-reaching consequences spawned by the surging demand for.
2. OpenAI confirmed its secretive o1
Major AI companies accelerated their enterprise momentum, deploying more potent models and exploring innovative hardware advancements throughout the year. Whispers began circulating about the possibility of an innovative “Strawberry” mannequin from OpenAI, poised to make a groundbreaking leap towards achieving human-like intelligence. Strawberry proved to be a thoughtful and deliberative AI, designed to invest more time in tackling complex problems than earlier iterations within the GPT-4 family.
3. The AI PC turned mainstream
Tech enthusiasts will be able to experiment with AI functionality in 2024 as it becomes a standard feature in most new PCs, revolutionizing how users interact with their devices. From Apple’s early intelligence efforts to the seamless integration of built-in AI everywhere. By 2025, according to a Gartner prediction made in September 2024, AI-powered PCs are expected to comprise a significant portion of the market.
Despite a November report’s findings, a steady PC demand persisted, potentially tempered by the scarcity of AI-powered machines due to NVIDIA’s AI processor supply chain constraints.
4. Has AI revolutionized our understanding of user interfaces and their potential to transform human interaction?
Since Apple launched its retail stores in 2001, mobile applications have been the primary means by which users interact with their intelligent devices. Voice assistants like Siri have introduced an additional comfort layer, allowing users to effortlessly manage certain functions through voice commands. The AI industry strives for a future where seamless control of all aspects of a computer or mobile device is possible through AI-driven interfaces, as exemplified by innovations like Microsoft Copilot and other notable advancements.
With laptops enabled for AI-powered translation, users can seamlessly convert written commands into executable actions, mimicking the natural flow of human-computer interaction – simply think “cursor movement,” “typing,” and “pc interaction.” Despite its potential to deliver impressive results, this performance may strain available resources. Processing simple tasks such as accessing a website and gathering information online can cost as much as 31 cents in digital currency.
5. Microsoft Recall was delayed repeatedly
The Microsoft Recall’s announcement was met with instant backlash due to its unprecedented integration of Copilot into the entire PC ecosystem, thereby amplifying concerns over potential security risks. As soon as deliberations are complete for the public preview in June, early access to Recall is expected to be delayed until thereafter. Microsoft’s delay in pursuing its “” vision ultimately pushed the recall tool beyond what customers were willing to share with AI, undermining the anticipated impact of this cornerstone feature.
6. ChatGPT provides ‘search’ possibility
In October, OpenAI significantly expanded its language model, ChatGPT. ChatGPT searches for generative solutions and provides links to external websites. Incorporating timely insights on climate-related events and trends could grant OpenAI a competitive advantage over Google search by providing users with more relevant and dynamic results, potentially solidifying its position as a go-to source for information and intelligence. OpenAI has extended partnerships with multiple media outlets to integrate their content into ChatGPT search results.
Initially, access to ChatGPT search was restricted to solely ChatGPT Plus and Workforce customers. Despite this, in December, the tech giant rolled out its latest update to all its loyal customers.
7. Apple Intelligence launched
Apple remained largely silent throughout much of the AI race, waiting until 2024 to reveal its plans. Introduced in 1995 for. In collaboration with OpenAI, Apple has integrated numerous everyday AI functionalities, including summarization and rewriting capabilities. It also enables limited graphic design, primarily featuring cartoon-like illustrations for.
Apple devices leverage the power of M-series chips or the A17 Bionic processor and above for enhanced intelligence capabilities. As of iOS 18.2, Apple devices can seamlessly integrate with ChatGPT to tackle more sophisticated inquiries addressed to Apple’s Intelligence or Siri capabilities.
8. Google explores Gemini’s usage scenarios for enterprises.
Google’s Gemini updates were no surprise for 2024, as they had been refining the platform for years. Despite launching in December 2023 and introducing a compact model in February, the majority of Gemini’s public presence has unfolded this year? Google has upgraded its Bard model, introducing a more advanced version that expands capabilities to cover desktops, mobile apps, Chromebooks, and the Vertex AI cloud platform. After the successful rollout of “agentic” AI, Google introduced a series of tailored “Gems” in August 2023.
9. AI regulation continued to develop
By 2024, governments worldwide were grappling with the challenge of regulating AI utilization. In Europe, a new directive took effect in August, prohibiting certain uses and aiming to encourage innovation through guidance.
The U.Ok. Established a company focused on developing and commercializing innovative applications of generative artificial intelligence, with regulatory advancements expected in the coming year. The U.Ok. Participated in numerous global efforts alongside other organizations to harmonize AI cybersecurity standards.
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10. Video technology know-how matured
Generative AI videos often fall short of perfection, yielding results that are eerily imperfect, with fluctuating scenes and unpredictable outcomes. Notwithstanding this, companies have still launched AI-driven video rendering tools.
The innovative product, first showcased in February, officially became available to customers in December. Google offers a special discount program for its Google Cloud customers. AI-powered video platforms offer advanced features and capabilities that enable seamless content creation, editing, and sharing.
