g-f(2)2611 Thriving in the AI Race: g-f Fishing for Insights and Opportunities (7/12/2024)

 

genioux Fact post by Fernando Machuca and ChatGPT

Introduction by Fernando and ChatGPT

Fernando: Welcome to "g-f(2)2611 Thriving in the AI Race: g-f Fishing for Insights and Opportunities." Today, we embark on a deep dive into the latest insights and opportunities within the ever-evolving landscape of artificial intelligence. As we navigate the complexities of the digital age, mastering the g-f Transformation Game (g-f TG) becomes crucial for achieving sustained growth and innovation.

ChatGPT: This post is a testament to the power of g-f Fishing, a method that enables us to actively seek and harness valuable knowledge—Golden Knowledge (g-f GK)—from the vast digital ocean. By staying informed and leveraging these insights, we equip ourselves to excel in the g-f TG, positioning ourselves and our organizations for success in the g-f New World.

Fernando: In g-f(2)2611, we explore groundbreaking reports and articles from leading institutions and thought leaders. From Deloitte's survey on generative AI to OpenAI's progress scale and insights from MIT and McKinsey, this collection of knowledge offers a comprehensive view of the current AI landscape and its transformative potential.

ChatGPT: The importance of this post lies in its ability to provide you with the tools and strategies needed to stay ahead in the AI race. By understanding key trends, challenges, and opportunities, you can make informed decisions that drive innovation, enhance productivity, and ensure long-term success.

Fernando: As we delve into these insights, remember that the g-f TG is about more than just keeping up with technology—it's about mastering it. Embrace the knowledge shared in this post, and let it guide you on your journey to thrive in the AI race.

ChatGPT: Together, let's unlock the limitless potential of AI and navigate the digital age with confidence. Welcome to a new era of discovery and growth with "g-f(2)2611 Thriving in the AI Race: g-f Fishing for Insights and Opportunities."

Introduction

The genioux facts program has meticulously curated an extensive repository of over 2610 posts, capturing the essence of the Digital Age's transformative landscape. This compilation of knowledge serves as a vital resource for individuals and organizations striving to navigate the complexities of the g-f New World. By leveraging insights from a diverse array of sources, such as industry reports, academic articles, and expert analyses, the genioux facts program empowers its audience with the tools and strategies needed for limitless growth and success in the digital era.

genioux GK Nugget

"Generative AI and its applications are revolutionizing industries, offering unparalleled potential for transformation and growth while necessitating careful consideration of risks and ethical implications." — Fernando Machuca and ChatGPT, July 12, 2024

genioux Foundational Fact

The rise of generative AI marks a pivotal shift in the technological landscape, with significant impacts expected across various sectors. Reports from Deloitte, Bloomberg, MIT, and other esteemed sources highlight both the opportunities and challenges associated with AI's rapid advancement. This evolving technology promises to enhance efficiency, drive innovation, and create new market opportunities, but it also brings uncertainties related to ethical use, energy consumption, and societal impacts.

The 10 Most Relevant genioux Facts

1. Deloitte's AI Report: Nearly 62% of business and technology leaders express excitement about generative AI, with 79% anticipating substantial organizational transformation within three years.
2. OpenAI's Progress Scale: OpenAI introduces a five-level scale to track advancements toward artificial general intelligence, aiming for AI capable of outperforming humans.
3. MIT's Trust in AI Models: Accurate uncertainty estimates are crucial for deciding when to rely on AI models, especially in high-stakes situations like medical diagnostics.
4. BCG's AI Integration: Boston Consulting Group leverages AI to revolutionize its operations and consulting services, enhancing speed and impact.
5. CIO Insights on IT Leadership: Top IT leaders emphasize the importance of building adaptive cultures to harness disruptive technologies and gain a first-mover advantage.
6. McKinsey's Digital Focus: Leaders should balance attention on generative AI with other digital imperatives to drive comprehensive value.
7. Sustainability and AI: AI has the potential to address global challenges like climate change, but its high energy demands and potential for misuse pose significant risks.
8. TSMC's Financial Performance: Taiwan Semiconductor Manufacturing Co. reports strong financial results, driven by soaring AI demand.
9. Universities and AI Research: Universities strive to stay relevant in AI research, balancing the need for high computing power with targeted study areas.
10. Pentagon's AI Needs: The Department of Defense increasingly relies on AI to address modern battlefield threats, highlighting the importance of tech-sector collaboration.

Conclusion

The collected insights from the genioux facts program underscore the transformative potential of generative AI and its profound impact across various domains. As industries and institutions adapt to these advancements, it is essential to balance innovation with ethical considerations and sustainability. By staying informed and leveraging the wealth of knowledge available, individuals and organizations can navigate the g-f New World with confidence, unlocking limitless growth and opportunities.

REFERENCES

The g-f GK Context

The genioux facts program has established a robust foundation of over 2610 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)2610].

Classical Summary of the Context

The genioux facts program has amassed a comprehensive foundation of over 2610 posts, providing an extensive overview of the Big Picture of the Digital Age. These posts encapsulate key insights and developments from a variety of authoritative sources, including industry leaders, academic institutions, and technology experts. The curated content covers a broad spectrum of topics, with a particular focus on the transformative potential and challenges of generative AI.

The program highlights notable findings from reports and articles, such as Deloitte's survey on generative AI, which reveals significant excitement and anticipated transformation within organizations. OpenAI's progress scale outlines the path towards artificial general intelligence, emphasizing the stages of development and potential impacts. Insights from MIT stress the importance of accurate uncertainty estimates in AI models, crucial for high-stakes applications like medical diagnostics.

Additionally, the Boston Consulting Group demonstrates how AI integration can revolutionize business processes, while top IT leaders discuss strategies for leveraging disruptive technologies to gain a competitive edge. McKinsey's analysis advises leaders to balance their focus on generative AI with other digital priorities to drive overall value.

The program also addresses the dual nature of AI's impact on sustainability, noting both its potential benefits in tackling global challenges like climate change and the significant risks posed by its high energy demands and potential misuse. The financial performance of Taiwan Semiconductor Manufacturing Co. underscores the booming demand for AI, while universities strive to maintain their relevance in AI research amidst competition from well-funded private companies.

Furthermore, the Department of Defense's increasing reliance on AI highlights the critical need for collaboration between the tech sector and government to address modern security threats.

In conclusion, the genioux facts program provides a rich repository of knowledge that equips individuals and organizations with the insights needed to navigate the complexities of the digital age, fostering limitless growth and innovation.

The Treasure Trove of g-f GK Containers Fished:

1. Deloitte, The State of Generative AI in the Enterprise, January 2024.
• Explore findings from the Deloitte AI Institute's report tracking generative AI trends, business impacts, and challenges through 2024.
• This first pulse of our generative AI quarterly surveys was completed in December 2023, and included more than 2,800 AI-savvy business and technology leaders directly involved in piloting or implementing gen AI at major organizations around the world.
• Excitement about generative AI remains high, and transformative impacts are expected in the next three years. 
• Nearly two-thirds (62%) of the business and technology leaders surveyed reported excitement as a top sentiment with regard to generative AI; however, that excitement was tinged with uncertainty (30%) (figure 1). The vast majority of respondents (79%) said they expect generative AI to drive substantial transformation within their organization and industry over the next three years—with nearly a third expecting substantial transformation to occur now (14%) or in less than one year (17%) (figure 2).
• The survey results suggest that many AI-fueled organizations are on the verge of scaling up their efforts and embracing generative AI in a more substantial way. This aligns with what we’re seeing in the marketplace, where organizations around the world are racing to move from experimentation and proofs-of-concept to larger-scale deployments across a variety of use cases and data types—pursuing both speed and value capture while managing potential downside risks and societal impacts.
2. Bloomberg, OpenAI Scale Ranks Progress Toward ‘Human-Level’ Problem Solving, July 11, 2024.
• The company believes its technology is approaching the second level of five on the path to artificial general intelligence
• OpenAI has come up with a set of five levels to track its progress toward building artificial intelligence software capable of outperforming humans, the startup’s latest effort to help people better understand its thinking about safety and the future of AI.
• The ChatGPT maker, seen by many as a leader in the race to build more powerful AI systems, shared the new classification system with employees on Tuesday during an all-hands meeting, an OpenAI spokesperson said. The tiers, which OpenAI plans to share with investors and others outside the company, range from the kind of AI available today that can interact in conversational language with people (Level 1) to AI that can do the work of an organization (Level 5).
3. MIT News, When to trust an AI model, July 11, 2024.
• More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
• Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when models are used to help identify disease in medical images or filter job applications.
• But a model’s uncertainty quantifications are only useful if they are accurate. If a model says it is 49 percent confident that a medical image shows a pleural effusion, then 49 percent of the time, the model should be right.
4. Forbes, How BCG Is Revolutionizing Consulting With AI: A Case Study, July 10, 2024.
• In a world where AI is transforming every sector, companies are constantly seeking ways to gain a competitive edge. Boston Consulting Group (BCG) is leading the charge by embracing artificial intelligence (AI), particularly generative AI, to revolutionize its internal operations and consulting services. Let’s delve into how BCG is leveraging AI to transform its business processes and the consulting industry as a whole.
• AI is not just a buzzword at BCG; it is a fundamental element of their strategy. Vlad Lukic, Managing Director and Senior Partner at BCG, emphasizes the significance of AI, stating, "It gets into the crux of our business, right? And it's going to be fundamental to the toolkit and skills that we need to have." AI serves as an assistant, enabling BCG consultants to operate at unprecedented speeds, thus allowing them to generate insights faster and drive impactful results for their clients.
5. CIO, How top IT leaders create first-mover advantage, July 11, 2024.
• CIO Hall of Famers Steve Randich and Neal Sample weigh in on what it takes to build and lead IT cultures that deliver transformative results.
• In a business environment defined by volatility, uncertainty, complexity, and ambiguity (VUCA), the most successful CIOs are more than technology leaders; they’re “chief intentional officers.” These CIOs have the vision, steadiness, and laser-sharp focus to navigate both the promise and the risks of disruptive technologies, positioning their teams and their organizations to gain and sustain an edge.
• At FutureIT in Chicago, I moderated a panel discussion with two such leaders, CIO Hall of Famers Steve Randich, executive vice president and CIO at FINRA, and Neal Sample, CIO at Walgreens Boots Alliance. We had an insightful conversation about how to approach the adoption of emerging technologies as well as what it takes — and when it makes sense — to gain first-mover advantage in this environment.
6. McKinsey, McKinsey Digital, Gen AI and beyond: Where else to focus now, July 12, 2024.
• Yes, gen AI can be dazzling. But to deliver value, leaders will have to look beyond center stage.
• Gen AI has rightly seized leaders’ attention. But is it also eclipsing lower-profile digital imperatives? On this episode of The McKinsey Podcast, McKinsey senior partners Rodney Zemmel and Kate Smaje, with global editorial director Lucia Rahilly, talk about ideas leaders risk overlooking with gen AI in the spotlight, and how to ensure your digital initiatives—including gen AI—work in tandem to drive meaningful value.
7. MIT SMR, Will AI Help or Hurt Sustainability? Yes, July 11, 2024.
• AI has the potential to help address societal problems like climate change, but challenges like high energy consumption threaten to negate its benefits.
• The proverbial ship of artificial intelligence is moving ahead at warp speed, icebergs and societal risks be damned. The pace of change in what it can do is staggering. Breathless predictions say AI will add trillions of dollars to the economy through massive cost savings and entirely new products and markets.
• While the capabilities of AI, along with both excitement and fear, are exploding, it’s a good time to ask what AI might mean for the world’s serious challenges (climate change, inequality, threats to democracy, and more). Will it help us or hinder us … or both? What does AI mean for the quest for a more regenerative and net-positive world?
• This could obviously be a book-length discussion, but let me focus on four big categories of impact — AI’s upside for helping on climate change and sustainability, its rising energy demands, the dangers of AI-enhanced misinformation, and its impact on people’s livelihoods — and provide a snapshot of where we are right now.
• So, what’s the bottom line? Even putting aside the extreme downside of “AI tries to kill us all” — which appears so often in science fiction because it rings true — there are plenty of concerns. The loss of jobs could be unprecedented, as could the rising demand for energy, which could drive carbon emissions much higher, potentially offsetting a large portion of the world’s efforts to control climate change.
• Like so many new technologies, AI is finding its way into flashy uses in entertainment and productivity. Behind the scenes, the real potential to improve our biggest systems seems very high. Will the benefits outpace the resource use and dangers to society? Maybe — but only, I think, if we are clear-eyed about the challenges and collectively make it a goal to address the downsides head-on. Will we focus this unimaginably powerful tool in the right way to save ourselves? That’s up to us … for now.
8. Bloomberg, TSMC’s Second Quarter Results May Fuel Its $420 Billion Rally as AI Demand Soars, July 11, 2024.
• Margin growth may trigger valuation expansion: analysts
• Foreign funds have been selling the stock in Taiwan for 5 days
• Taiwan Semiconductor Manufacturing Co.’s $420 billion equity rally this year will get a valuation test next week when it reports earnings, with analysts expecting the chipmaker to raise full-year sales forecasts.
• The world’s biggest contract chipmaker will probably report a 29% increase in second-quarter net income on Thursday, according to the median estimate of analysts surveyed by Bloomberg. More importantly, analysts from JPMorgan Chase & Co. to Morgan Stanley expect it to also raise its full-year sales guidance, justifying another round of valuation expansion.
9. WSJ, Universities Don’t Want AI Research to Leave Them Behind, July 12, 2024.
• Outspent by Big Tech, some academics are focusing on research that requires less computing power, even as they try to build more of it
• Universities are in a race for relevance in the field of generative AI as private companies, loaded with talent and pricey chips, drive the conversation.
• Redefining university research. At the same time, university researchers are becoming more targeted in their areas of study so they aren’t outpaced by industry researchers.
10. CIO, Green Software Foundation: On a mission to decarbonize software, July 12, 2024.
• As the global economy sets its sights on decarbonization, the software industry is coming under increasing scrutiny. Green Software Foundation, with its mission to standardize industry best practices for sustainable software development, is here to help.
• Good coding practices for performance and efficiency have been part of software engineering since the earliest days. “When we were programming mainframes, every character counted,” says Sanjay Podder, chair of Green Software Foundation, an organization that aims to build a trusted ecosystem of people, standards, tooling and best practices for green software.
11. Bloomberg, General Catalyst, Amazon Back AI-Powered Robotics Startup, July 12, 2024.
• Standard Bots is working on technology for tasks like assembly
• Amazon has invested in a number of robotics startups
• A majority of that funding haul, which has not been previously reported, is from a $39 million Series B round the startup recently closed. General Catalyst led the round, with participation from the Amazon Industrial Innovation Fund and Samsung Next, a venture arm of Samsung Electronics Co. The company declined to disclose its valuation.
• Amazon.com Inc. has invested in several robotics startups in recent years, including Agility Robotics Inc. in 2022. It also bought Kiva Systems in 2012, and has incorporated some of that technology into its warehouses.
12. WSJ, SoftBank Group Buys British AI Chip Company Graphcore, July 11, 2024.
• The wholly-owned subsidiary of SoftBank Group will continue to operate under the Graphcore name
• SoftBank Group has acquired U.K. semiconductor company Graphcore, the latest in a series of steps taken by the Japanese tech investment company in the artificial-intelligence field.
• The Bristol-based chip company, which specializes in AI, said that it is now a wholly-owned subsidiary of SoftBank Group and will continue to operate under the Graphcore name.
13. Bloomberg, Sequoia, Nvidia Back Startup Fireworks AI at $552 Million Valuation, July 11, 2024.
• Startup’s platform lets companies access multiple AI models
• Investors put $52 million into the company, led by Lin Qiao
• Sequoia, along with investors including Nvidia Corp., Advanced Micro Devices Inc. and MongoDB Inc. put $52 million into the company in the funding round, brining its total cash haul to $77 million.
• Fireworks’ tools aim to make it easier for companies to adopt generative AI, allowing them to access more than 100 models using its platform. Most businesses don’t have a large team helping them incorporate AI into their workflows and processes, said the compay’s Chief Executive Officer Lin Qiao, but at the same time they want to adopt AI and keep up with the market.
14. Fast Company, Why the Pentagon needs Silicon Valley’s AI, July 11, 2024.
• Conflicts in Ukraine and Syria signaled to defense officials a new kind of war—one that would require Big Tech’s expertise.
• The Pentagon is finally getting better at procuring technology from Silicon Valley. Private-sector tech companies, especially small ones, have often had difficulty selling their wares to the Pentagon thanks to bureaucratic red tape and excruciatingly slow sales cycles. Wars in Ukraine and Syria have made it increasingly clear that the Pentagon needs the tech sector’s innovations to counter 21st century battlefield threats. And that new approach is really bearing fruit when it comes to artificial intelligence.
• One Pentagon source tells me that while the Defense Department (DoD) has not completely solved the problem of acquiring goods from tech startups, it has still come a long way. It has established a whole community of “innovation centers,” the biggest of which is the Defense Innovation Unit (DIU), to help tech startups get their products and practices ready to serve the Pentagon as a client. Increasingly, these are AI companies or companies that use AI in their products. Some themes have emerged in the ways the DoD wants to apply AI. 
15. Fortune, A $3 billion software unicorn scrapped its plan to give AI ‘workers’ rights after tech execs said it ‘disrespects the humanity of your real employees’, July 12, 2024.
• Human resource software company Lattice learned the hard way that employees are not quite ready to work alongside AI counterparts. 
• The tech unicorn—founded by Sam Altman’s brother Jack Altman and valued at $3 billion in 2022—announced it “made history” this week by giving so-called “digital workers” employee records and integrating them into organization charts, allowing its human coworkers to see the roles of AI in their workplace. After a surge of online pushback, the company said it would no longer pursue the project only three days after its initial announcement.
• “This innovation sparked a lot of conversation and questions that have no clear answers yet,” CEO Sarah Franklin said in a statement to Fortune. “We look forward to continuing to work with our customers on the responsible use of AI but will not further pursue digital workers in the product.”
16. CIO, Storage: The unsung hero of AI deployments, July 11, 2024.
• Many enterprises focus on computing power and networking when rolling out AI projects. But they may be overlooking the bigger picture of their needs for massive storage.
• As enterprises begin to deploy and use AI, many realize they’ll need access to massive computing power and fast networking capabilities, but storage needs may be overlooked.
• “Organizations must evaluate their specific needs, including performance, cost, and scalability, to choose the best solution for their AI initiatives,” Priyanka Karan, field CTO at digital transformation firm AHEAD, says.
17. WSJ, New Patent Guidance on AI Could Quash Innovation, July 11, 2024.
• New guidance from the U.S. Patent and Trademark Office would make it harder for Americans to patent inventions developed with help from artificial-intelligence programs. This could stifle cutting-edge research and deprive Americans of lifesaving and life-enhancing products.
• In recent years, researchers have been using AI programs like AlphaFold to model potential molecular structures that could have medical applications. Human scientists then analyze the data, select the best candidates and test the results.
18. Fortune, Deutsche Bank and HSBC are winning Europe’s AI talent war as the U.K. strikes back against the U.S., July 11, 2024.
• Last year’s U.S. tech grads had scarcely watched their mortarboards hit the ground before they were being swarmed with job offers from Wall Street’s biggest banks. It’s fair to say their peers across the Atlantic have taken a more relaxed approach to getting the talent they need to manage the AI boom.
• However, it seems Europe’s financial centers are starting to understand the need for AI talent.
• The latest review of the banking sector’s AI capabilities shows U.K. banks have accelerated hiring ahead of their rivals.
• 
  
19. Bloomberg, Big Tech’s Climate Goals At Risk From Massive AI Energy Demands, July 11, 2024.
• Microsoft, Google and Amazon are grappling with growing energy demands from artificial intelligence. 
• The disclosures from the three tech companies offer some of the clearest indications yet of the potential environmental impact from the generative AI frenzy. Behind today’s chatbots and AI-infused software lies a vast and growing network of power-hungry data centers. In some facilities, you might find thousands of Nvidia’s coveted H100 chips, each of which draws as much as 700 watts, or nearly eight times the power used by a typical 60-inch flat screen TV.
20. Fast Company, AI expansion vs. climate goals: Can companies achieve both?, July 12, 2024.
• More than 500 companies, including Amazon, are committed to net-zero carbon goals by 2040. Will AI stop them?
• Hundreds of companies have vowed to reduce their carbon emissions in recent years. But with AI on the rise, carbon-neutral goals are only getting more challenging to achieve. 
21. NYT, A.I.’s Insatiable Appetite for Energy, July 11, 2024.
• The soaring electricity demands of data centers and A.I. are straining the grid in some areas, pushing up emissions and slowing the energy transition.
• The energy demands from A.I. are only getting more intense. Microsoft and OpenAI are planning on building a $100 billion data center, according to reports. Initial reporting suggests it may require five gigawatts of power, or roughly the equivalent of five nuclear reactors.
22. MIT News, Reasoning skills of large language models are often overestimated, July 11, 2024.
• New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
• When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.
• MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers recently peered into the proverbial magnifying glass to examine how LLMs fare with variations of different tasks, revealing intriguing insights into the interplay between memorization and reasoning skills. It turns out that their reasoning abilities are often overestimated.
23. Forbes, How Generative AI Will Change The Job Of Real Estate Agents, July 11, 2024.
• Real estate agents and other professionals in their industry are in the business of selling good old-fashioned solid bricks and mortar. But that doesn’t mean their jobs aren’t impacted by new technology.
• Digitization, the internet, and more recent trends like drone photography and virtual reality have all made a big impact. But bigger changes could be on the horizon as agents, appraisers, investors and mortgage brokers race to benefit from the opportunities of generative AI.
• A recent McKinsey report estimates that the hottest tech trend of moment could generate up to $180 billion in value for the real estate industry. This means that it’s inevitable that the roles of professionals will change as they adopt new working practices and learn to augment their abilities with new, generative tools. With this in mind, lets take a look at some of the changes that we can expect to see.
24. NYT, In Constant Battle With Insurers, Doctors Reach for a Cudgel: A.I., July 10, 2024.
• As health plans increasingly rely on technology to deny treatment, physicians are fighting back with chatbots that synthesize research and make the case.
• Dr. Robert Wachter, the chair of the medicine department at the University of California, San Francisco, said he hoped that some day, with more advanced A.I. technology, insurers and providers could create a new system that relies less on sending letters back and forth and more on automation.
• Insurance coverage could be automatically approved based on an algorithm’s analysis of the most up-to-date scientific literature, for example. An A.I. tool might also notify a doctor that the $100,000 drug she’s about to prescribe could be substituted with a similarly effective $250 pill.
25. CIO, How guardrails allow enterprises to deploy safe, effective AI, July 10, 2024.
• AI guardrails are the technical tools companies use to ensure their systems conform to evolving policies and responsible practices. But with increasing options now available from big providers, startups, and the open-source community, finding the right solution isn’t always straightforward.
• According to a McKinsey report released in May, 65% of organizations have adopted gen AI in at least one business function, up from 33% last year. But only 33% of respondents said they’re working to mitigate cybersecurity risks, down from 38% last year. The only significant increase in risk mitigation was in accuracy, where 38% of respondents said they were working on reducing risk of hallucinations, up from 32% last year.
26. McKinsey, McKinsey Digital, The evolution of customer care: AI and the Gen Z effect, July 9, 2024.
• Gen Z’s influence on consumer behavior and employment trends is driving contact center leaders to integrate AI, adapt to market changes, and implement holistic strategies for customer care.
• With the coming of age of Gen Z—both as customers and new workforce entrants—customer demands are evolving. At the same time, generative AI (gen AI) is transforming how contact centers respond to these demands. Forward-thinking leaders must explore the latest trends, emphasize cohesive support strategies, and take actionable steps to enhance their customer care functions, addressing challenges such as service improvement, cost reduction, and sales function integration.
• In this episode of McKinsey Talks Operations, host Daphne Luchtenberg sits down with McKinsey partners Brian Blackader and Eric Buesing. Listen in as they discuss the latest trends, the importance of a cohesive support strategy, and actionable steps contact center leaders can take to improve their customer care functions.
27. CIO, Accenture acquires Excelmax to bolster chip design expertise, July 10, 2024.
• It's the consulting firm's second chip design acquisition, as it seeks to build up a new business area serving enterprises wanting to make custom semiconductors.
• Accenture has acquired Excelmax Technologies, a Bangalore-based semiconductor design firm to expand the range of chip design services it offers its clients.
• Excelmax was founded in 2019 and is into high-level semiconductor design, detailed physical layout and full turnkey execution.  The firm offers custom silicon solutions for consumer devices, data centers, artificial intelligence (AI), and edge computing applications, with clients in the automotive, telecommunications, and high-tech sectors.
28. WSJ, For AI Giants, Smaller Is Sometimes Better, July 6, 2024.
• Companies are turning their attention to less powerful models, hoping lower costs and solid performance will win more customers
• The start of the artificial-intelligence arms race was all about going big: Giant models trained on mountains of data, attempting to mimic human-level intelligence.
• Now, tech giants and startups are thinking smaller as they slim down AI software to make it cheaper, faster and more specialized.
29. NYT, Defeated by A.I., a Legend in the Board Game Go Warns: Get Ready for What’s Next, July 10, 2024.
• Lee Saedol was one of the world’s top Go players, and his shocking loss to an A.I. opponent was a harbinger of a new, unsettling era. “It may not be a happy ending,” he says.
• Lee Saedol was the finest Go player of his generation when he suffered a decisive loss, defeated not by a human opponent but by artificial intelligence.
• Mr. Lee was beaten by AlphaGo, an A.I. computer program developed by Google’s DeepMind unit. The stunning upset, in 2016, made headlines around the world and looked like a clear sign that artificial intelligence was entering a new, profoundly unsettling era.
30. WaPo, U.S. and allies take down Russian ‘bot farm’ powered by AI, July 9, 2024.
• The effort drove nearly a thousand covert accounts on X.
• The United States and several allies said Tuesday that they had seized control of a sophisticated Russian propaganda mill that used artificial intelligence to drive nearly a thousand covert accounts on the social network X.
• Though governments have increasingly turned to AI in the past year to spread messages more widely and credibly, the takedown is unusual because the Western intelligence agencies traced it to an officer of the Russian FSB intelligence force and to a former senior editor at state-controlled publication RT, formerly called Russia Today, as explained in court filings.

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