The bitter lesson for generative AI adoption

Mistral AI: The French underdog taking on US tech giants as Europes hope in global generative AI race

Apple in June of last year unveiled new iPhones built with generative AI as it seeks to boost sales and show it is keeping up in the technological arms race. The tech giant plans to restore the feature when it is working properly and eventually roll it out to all users. Apple’s decision to temporarily disable the recently launched AI feature comes after the BBC and other news organizations complained that users were getting mistake-riddled or outright wrong headlines or news summary alerts. Developing AI models is an endeavour that continues to demand massive capital investment. The bot will in future have access to AFP’s text content in six languages to inform responses based on news and current events, the two firms said Thursday.

This is the third in a series of pieces of research Synergy has published recently that pinpoint GenAI as having a transformative impact on the datacentre market. For instance, the organisation published figures last week that showed the average size of a hyperscale datacentre is increasing due to the compute-heavy demands of GenAI workloads. However, it also includes minority equity investments, joint ventures, acquisitions of individual datacentres, share sales and land purchases for datacentre developments in its M&A tally. Where 2024 is concerned, the two biggest deals that closed during this 12-month period involved two separate equity investments in colocation provider Vantage Data Centers, which were collectively valued at $9.2bn. The company has a lot riding on the new iPhone 16 and hopes that customers are attracted to buy the latest models by its new AI powers.

Exploring new features in Cython 3.1

Generative AI (GenAI) is being cited as the reason why the value of mergers and acquisitions (M&A) in the global datacentre market hit a record high in 2024, with private equity firms responsible for the majority of the deals done. AI adoption is complex and requires more than downloading an open-source model from Hugging Face. Successful adoptions start with clear objectives and knowing precisely what the business needs to achieve. Don’t pursue AI because it’s trendy, but because you have specific goals.

HP’s EliteBook line expanded with the company’s announcement of a trio of Copilot+ PCs. The HP EliteBook Ultra G1i Next Gen AI PC is, HP said, designed for executives, with its 14-in. (The Qualcomm model offers WLED screen technology.) They can have up to 32GB of RAM and up to 2TB of storage for the Intel version, or 1TB of storage for the Qualcomm version. HP touted “studio quality” microphones and a 9-megapixel camera for high quality video calls.

Dell

Enterprise computers are often the ugly ducklings of the PC world, viewed as dull, slow and less feature-rich than their consumer counterparts. But vendors at last week’s Consumer Electronics Show launched a selection of business machines (alongside their consumer offerings) hoping to capitalize on the rise of generative AI (genAI). “There is no end in sight to this trend, with generative AI technology and services adding a further boost to already strong demand,” added Dinsdales. With a quickly growing market for generative AI and innovative products, Nvidia has enough business opportunity ahead to justify the elevated valuation. Founded in 1993, The Motley Fool is a financial services company dedicated to making the world smarter, happier, and richer. The Motley Fool reaches millions of people every month through our premium investing solutions, free guidance and market analysis on Fool.com, personal finance education, top-rated podcasts, and non-profit The Motley Fool Foundation.

This argument purges research in favor of Moore’s Law and effectively asks the next generation of researchers to do less. However, we believe there is a “bitter lesson” style analysis for generative AI adoption. Specifically, we prefer retrieval-augmented generation and prompt engineering to training and fine-tuning language models—at least as an initial adoption strategy. The rapid development and improvement in generative AI technology pose a challenge for training and fine-tuning as a sustainable path for adoption. If organizations constantly need to fine-tune new models for specific tasks, they might be in a costly cycle of catching up with new technology.

Mistral also produces a large language model (LLM) known as Mistral Large, specialising in text generation, as well as models focused on images and computer code. PARIS, Jan 20 — Founded less than two years ago, French generative artificial intelligence (AI) startup Mistral AI has swiftly staked out a place as the great European hope contending with US giants dominating the sector. According to Roberts, genAI features have not excited the enterprises he deals with. It is already being used to generate content and enhance creativity. Businesses use it to enhance customer experiences by adapting content and services to individual preferences. It can enhance existing data, improve cost efficiency, foster innovation, and aid in simulations and planning.

Synergy said it has tracked a total of 1,498 datacentre M&A deals since 2015 with an aggregate value of $300bn, with the majority of them involving a company acquisition of some kind. It even dwarfed the returns of the Nasdaq Composite index in a year the index itself returned an amazing 28.6%. Its stock price soared as the market became enthused by consistent triple-digit revenue gains that led to triple-digit net income gains. In some respects, the bitter lesson is part of this more considerable discussion about lock-in risks. We expect scaling to continue, at least for another couple of interactions. Unless you have a particular use case with obvious commercial potential, or operate within a high-risk and highly regulated industry, adopting the technology before the full scaling potential is determined and exhausted may be hasty.

With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Lynn Greiner has been interpreting tech for businesses for over 20 years and has worked in the industry as well as writing about it, giving her a unique perspective into the issues companies face. Reith cited feedback from the head of commercial sales for a large OEM who said with tightened budgets and uncertainly about what can be achieved with genAI PCs, companies are shifting their spending to mid-range computers. They don’t qualify as Copilot+ devices, but are still very good PCs. “What we gathered throughout most of last year, especiallyaround the middle of the year, is that large enterprises and most developed markets around the world were allocating budget for these genAI PCs,” Reith said.

In contrast, prompt engineering and retrieval-augmented generation (RAG) focus on improving the retrieval and integration of information, a process that can continuously benefit from advances in generative technology. Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation.

Get stock recommendations, portfolio guidance, and more from The Motley Fool’s premium services. CEO Jensen Huang also introduced a new desktop supercomputer at the recent CES conference in Las Vegas. The $3,000 unit can be used by researchers, data scientists, and even students. It shows that Nvidia is broadening the market for its advanced chips beyond just hyperscaler data centers. Nvidia will be a major beneficiary of the investments to build out the needed infrastructure.

The Intel model can hold up to 32GB of RAM; the AMD version offers up to 64GB. The B5 supports up to 64GB of RAM and up to a 2TB SSD with RAID support, has an all-metal design, 16-in. Screen, and security features including a fingerprint reader, facial recognition, and a smart card reader. In addition to its Zenbook and Republic of Gamers (ROG) offerings, Asus unveiled the enterprise-focused ExpertBook B5, ExpertBook B3, ExpertCenter P400 AiO, and ExpertCenter P500. Although they’re not Copilot+ PCs (their neural processing unit (NPU) isn’t powerful enough), they qualify as AI PCs; both B5 and B3 laptops include Intel vPro for manageability and have passed the MIL-STD 810H durability tests. Here’s a look at some of the noteworthy business PCs announced at CES 2025 and analysis of whether vendors are hitting the mark for enterprise customers.

The participants will also get a glimpse of a generative AI future by visiting the Infosys Fan Zone at Melbourne Park. These innovations, powered by Infosys Topaz, an AI-first suite of offerings using generative AI technologies, will redefine fan engagement, empower players and coaches, and expand the boundaries of digital interactivity in tennis. One guiding principle that may help leaders is Liebig’s Law, or the law of the minimum, a principle developed in agricultural science and later popularized by Justus von Liebig. It states that growth is dictated not by total resources available but by the scarcest resource or the limiting factor. It has been codified in clichés like “a chain is only as strong as its weakest link.” Liebig’s Law implies that the success of AI deployment is constrained by the most limiting factor in the adoption process. These factors include data, human capital, computational resources, governance, and compliance.

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Generative AI Insights provides a venue for technology leaders—including vendors and other outside contributors—to explore and discuss the challenges and opportunities of generative artificial intelligence. The selection is wide-ranging, from technology deep dives to case studies to expert opinion, but also subjective, based on our judgment of which topics and treatments will best serve InfoWorld’s technically sophisticated audience. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content. The Infosys Fan Zone at Melbourne Park remains climate active, with its carbon footprint fully offset and structures fully recyclable.

Clayton Pummill is a licensed attorney specializing in complex machine learning, data privacy, and cybersecurity initiatives while building enterprise solutions and support practices for organizations facing machine learning regulations. Active in the technology startup space, he has developed patented technology, co-founded organizations, and brought them through to successful exits. The features are similar to tools recently released by Meta, Microsoft and Google, which can produce well-crafted content simply by querying in everyday language. “Apple Intelligence” is a new suite of software features for all devices that was announced at the company’s annual developers conference, where it also announced a partnership with ChatGPT-maker OpenAI.

Think Nvidia Stock Is Expensive? This Chart Might Change Your Mind.

“Our ambition is to be at the cutting edge in the 10 years ahead, and to be one of the actors shaping (AI) technology and the way it’s used,” Mensch told AFP from his Paris HQ, where the company’s logo is nowhere to be seen. Two years ago, Lenovo showcased a laptop concept with a rollable screen; this year, that concept became a reality. The ThinkBook Plus Gen 6 Rollable’s 14-in screen expands upwards at the touch of a button, growing to 16.7 inches and providing 50% more screen space.

This “allows our customers to deploy solutions onto their infrastructure with significantly improved data governance compared with our US competitors,” Mensch said. Unlike US competitors OpenAI or Anthropic — accused of working as inscrutable black boxes — Mistral bet on an open-source approach for its models, offering access to their programming code. The new investments brought the company’s valuation to almost €6 billion. “If you get 200 PCs at a mainstream level, as opposed to 50 at a premium level, they’re going more towards the 200,” he said. As for whether these systems meet enterprise needs, analysts weighed in on what they’re seeing in the current PC market — and they were somewhat dismissive of the AI hype.

Generative AI in Legal Market Growth and Future of Law By USD 992.1 Million by 2033 – EIN News

Generative AI in Legal Market Growth and Future of Law By USD 992.1 Million by 2033.

Posted: Thu, 23 Jan 2025 07:03:00 GMT [source]

Its Blackwell architecture is already in high demand, and the company will have its new Rubin platform available next year to succeed Blackwell. In a popular blog post titled “The Bitter Lesson,” Richard Sutton argues that general methods leveraging computation outperform specialized methods in AI research, fundamentally due to the decreasing computation cost over time. In the short-term, the new powers include AI-infused image editing, translation, and small, creative touches in messaging, but not more ambitious breakthroughs promised by other AI players, such as OpenAI or Google.

Ultimately, training a language model or adopting an open-source model is like swapping a leash for a ball and chain. Either way, you’re not walking away without leaving some skin in the game. You may need to train or tune a model in a narrow domain with specialized language and tail knowledge.

• In contrast, prompt engineering and retrieval-augmented generation (RAG) focus on improving the retrieval and integration of information, a process that can continuously benefit from advances in generative technology.
• On the desktop side, the ExpertCenter AiO (all-in-one) comes in two models, one with a 27-in.
• It can enhance existing data, improve cost efficiency, foster innovation, and aid in simulations and planning.
• “There is no end in sight to this trend, with generative AI technology and services adding a further boost to already strong demand,” added Dinsdales.
• It is already being used to generate content and enhance creativity.

As for what corporate users want, size and weight are often key, Reith said — and companies are now listening to their employees rather than choosing what they think they want. Figures released by Synergy Research Group show that a record-breaking $57bn of M&A deals were closed during 2024, which is up $5bn from the previous high recorded in 2022. Those who might think that means the stock is now too expensive should look at the opportunity still ahead.

Yet, even when successful, training may leave you stuck with your investment. Training may prevent you from using new models with better performance and novel features or even new scaling laws and strategies for training models. While steering clear of proprietary pitfalls, you’re still shackled by the immense sunk costs of training, not to mention the ongoing obligations of maintenance and updates.