This is nothing short of a full-stack AI-ification of search. Google is using its Gemini AI to figure out what you’re asking about, whether you’re typing, speaking, taking a picture, or shooting a video.
The AI assistant also exhibited its potential in wearable devices, such as smart glasses, where it could analyze diagrams, suggest improvements, and generate witty responses to visual prompts.
AI is forcing corporate boards to change how they operate, with the most aggressive companies appointing AI bots as observers to their boards and putting tech at the center of their board strategy work.
Apple said on its Hugging Face model page that OpenELM, which stands for “Open-source Efficient Language Models,” performs very efficiently on text-related tasks like email writing. The models are open source and ready for developers to use.
CEO Mark Zuckerberg sounded defensive about his strategy of blasting away at various high-cost futuristic projects, including AI and mixed reality.
“The right way to think about generative AI is to view it as a flexible tool that’s usable by human workers,” MIT professor Daron Acemoglu says.
Imagine an operator saying something like, ‘Hey computer, why is production on this unit slowing down? And what can I do to adjust it?'”
The initial set of AI-related features Apple plans to debut with iOS 18 “will work entirely on device.” In practice, these AI features would be able to function without an internet connection or any form of cloud-based processing.
Google DeepMind chief Hassabis didn’t specify how exactly Google would be spending that $100 billion or more, nor how quickly it would spend it, but he did insist that the Chocolate Factory’s processing prowess surpasses Microsoft’s – or anyone else’s.
. “Candidly, a lot of people inside law firms just don’t think about the deployment of tech in the delivery of legal services,” he said. “If you want to see a doctor today, it’s all through a website, but if you want a lawyer, you’ve got to pick up the phone.”
Forget artificial intelligence breaking free of human control and taking over the world. A far more pressing concern is how today’s generative AI tools will transform the labor market.
A rumored AI Explorer feature coming to Windows 11 is designed to work as a timeline you can summon on your PC. Microsoft describes this internally as a feature that lets you “retrieve anything you’ve ever seen or done on your device.”
“If generative AI is allowed to go unchecked, trust in society as a whole may be damaged as people grow distrustful of one another and incentives are lost for guaranteeing authenticity and trustworthiness…”
Microsoft was working to develop a highly personalized Windows experience suited to every user particularly. This Windows experience might be supervised by Copilot, hence Copilot for every person.
Pesce says while AI is powerful it is also unreliable: “These machines don’t know when they are making things up. They don’t’ know when they’re running off the rails. They don’t want to stop.”
Predictions are that ChatGPT will become 30 times more powerful within the next five years, dramatically expanding its data retention capabilities and enhancing its reliability.
Covariant is creating ways for robots to pick up, move and sort items as they are shuttled through warehouses and distribution centers. Its goal is to help robots gain an understanding of what is going on around them and decide what they should do next.
An assistant based on artificial intelligence (AI) replaces the countless apps on the smartphone. Like a concierge, the assistant understands your goals and takes care of the details.
“By infusing GPT with its own database of lesson plans, essays and sample problems, Khan Academy improved accuracy and reduced hallucinations. The full archive of Khan Academy math problems is now baked into GPT…”
Meta recently released a paper called “Automated Unit Test Improvement using Large Language Models at Meta”. It’s a good look at how Big Tech is using AI internally to make development faster and software less buggy.
Microsoft has revealed a new plug-in for Copilot, its AI assistant, named Power Automate that will enable users to automate repetitive and tedious tasks, such as creating and manipulating entries in Excel, handling PDFs, and file management.
The disparity between leaders’ attitudes to AI and that of their employees is a difficult gap to close; the aspects of AI that form the business case for its implementation are often the same aspects that drive concerns from employees about job security.
There is one very clear parallel between the digital spreadsheet and generative AI: both are computer apps that collapse time. A task that might have taken hours or days can suddenly be completed in seconds.
“LLMs stand poised to disrupt the legal industry, enhancing accessibility and efficiency of legal services. Our research asserts that the era of LLM dominance in legal contract review is upon us, calling for a reimagined future of legal workflows.”
A team of researchers at New York University wondered if AI could learn like a baby. What could an AI model do when given a far smaller data set—the sights and sounds experienced by a single child learning to talk?
“It’s fundamentally a collection of links to stories from around the web about a topic, curated and summarized by a Semafor reporter. The twist is that Semafor built an AI-powered search tool…”
“Microsoft’s document is called “New Future of Work” and emerged last month with the suggestion we should not be asking how AI will impact work, but how we want it to.”
“As consumers increasingly use generative AI (GenAI) in their personal and professional lives, they are optimistic about its potential positive impact on society and believe that the benefits of the technology outweigh the risks they see…”
I had imagined the beginning of a whole new age of products, shaped around the new capacities offered by ‘good enough’ artificial intelligence, and expected to be able to report about all of the ways that this ‘good enough’ AI had been put to work.
The university will begin taking project submissions from faculty and students on where to use ChatGPT beginning in February.
“Windows will again be instrumental in driving growth for the minimum memory capacity acceptable in new PCs. Desktop users with easily accessible upgrade options might shrug, but those buying laptops and discovering they aren’t upgradeable…”
In this evolving landscape, advanced economies and more developed emerging markets need to focus on upgrading regulatory frameworks and supporting labor reallocation, while safeguarding those adversely affected…
Industries led by media and entertainment, banking, insurance, and logistics were most likely to predict job losses because of cutting-edge AI tools, according to the poll of top directors conducted by PwC ahead of this week’s World Economic Forum.
A new Copilot key will ship on a variety of new PCs and laptops from Microsoft’s partners, providing quick access to Microsoft’s AI-powered Windows Copilot experience straight from a keyboard button press.
“With the infrastructure in place—the base generative models from OpenAI, Google, Meta, and a handful of others—people other than the ones who built it will start using and misusing it in ways its makers never dreamed of.”
A Microsoft team has spent months building an AI trained on nuclear regulations and licensing requirements to help the tech giant fill out all the applications it needs to build its own power plants.
OpenAI’s competitors have no choice but to speed up development to stay in the race as the leader sheds the cautious governance structure and welcomes a new board of directors who stand for commercialization and deregulation.
“AI so far is shaping up like self-driving cars — it got pretty good faster than anybody thought, and it’s going to be a hell of a lot of work to get good enough to be everywhere.”
Gates: Depending on how much information you choose to share with it, the software will be able to respond personally because it will have a rich understanding of your life.
Microsoft’s vision for Copilot involves crafting personalized responses and feedback, increasing the relevance and utility of interactions based on individual user data.
Google’s experimental chatbot Bard is a path to developing another product with two billion users, a director said on Thursday at the Reuters NEXT conference in New York
In the memo, representatives from IAC and Dotdash lay out a doomsday vision of what the web would become if copyright law doesn’t evolve to force generative AI companies to pay for access to quality content.
“This is giving me the ability for responding to every single annoying buying inquiry that I have to deal with … and it is giving me the ability to create a bespoke customer empathetic engaging piece of communication that’s going to stand me in good stead in front of that buyer.”
As part of the Biden-Harris Administration’s comprehensive strategy for responsible innovation, the Executive Order builds on previous actions the President has taken, including work that led to voluntary commitments from 15 leading companies to drive safe, secure, and trustworthy development of AI.
“It becomes the orchestrator of all your app experiences. So for example, I just go there and express my intent and it either navigates me to an application or it brings the application to the Copilot, so it helps me learn, query and create — and completely changes, I think, the user habits.”
Some of the world’s largest consultancies have already built out proprietary enterprise large language models and are expanding and refining them. McKinsey already has employees testing out its proprietary LLM.
Heather Ford’s talk at UMass, “Is the Web Eating Itself?” asks whether Wikimedia other projects can survive the rise of generative AI.
The tool has the potential to ease the burden on burned-out, over-scheduled parents. But it’s no replacement for a human’s judgment — especially regarding what’s best for their kids.
Large-scale compute is also environmentally unsustainable: chips are highly toxic to produce and require an enormous amount of energy to manufacture: for example, TSMC on its own accounts for 4.8 percent of Taiwan’s national energy consumption, more than the entire capital city of Taipei. Running data centers is likewise environmentally very costly: estimates equate every prompt run on ChatGPT to the equivalent of pouring out an entire bottle of water.
AI already accounted for 10 to 15 percent of Google’s electricity consumption in 2021. And the company’s AI ambitions have grown big time since then.
Perhaps the most fundamental limitation of today’s large language models is that they depend on knowledge that’s been generated by people. A sea change will come when the bots can generate knowledge for themselves.
“An AI PC,” he added, “is a PC that learns about you continuously, it’s a PC that is your personal foundation model within the data within the PC and it is a PC that will be able to interact with you more naturally.”
The age of generative AI threatens to sprinkle epistemological sand into the gears of web search by fooling algorithms designed for a time when the web was mostly written by humans.
Believing that AI will save time is like being a person in the late 1800s seeing their first car and thinking “oh how easy it’ll be to get to the meadow now!” People back then didn’t imagine that by the 1960s we’d be stuck in traffic jams for hours in mega-cities. Now apply this to AI.
Panelists urged the audience not to fear the impact that generative tools might have. “My team and I are taking this really seriously,” said Chitra Gopalakrishnan, Microsoft’s partner director of compliance. “From development to deployment, all of these features go through rigorous ethical analysis, impact analysis, as well as risk mitigation.”
Participants with access to the large language model GPT-4 completed 12.2% more tasks on average and completed tasks 25.1% more quickly than those without access to AI, the study conducted in tandem with Boston Consulting Group found.
“We saw some remarkable things come up in the last couple of weeks,” said Kendall. “I never would have thought to ask something like this, but look—” He typed: “How many stories is the building on the right?” Three stories.
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