Artificial intelligence
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43 minutes agoWhat companies keep getting wrong about AI implementation | MarTech
AI deployments frequently create new problems and additional human work instead of delivering promised efficiency and automation.
Many businesses have had to learn in recent years that adopting AI to automate certain organizational tasks or employees' day-to-day workflows won't necessarily translate to financial gain. The technology may make workers more productive in some respects, but it also presents a whole host of risks -- some of them involving cybersecurity, some of them legal, some of them psychological. In some cases, AI actually creates more work for supervisors.
Steve Jobs probably didn't remember how many times he skinned his knees learning to ride a bike before describing a personal computer as a "bicycle for the mind." Jobs' point was that both tools help us to go further, faster, with just a little extra effort. Today, the remark serves as a reminder that it's not possible to immediately become productive using a technology you've never used before.
Artificial intelligence will soon transform our world in ways we can only begin to imagine. That's the message from Big Tech, which is channeling vast resources into building the infrastructure to enable this new relationship between humans and our technology. Witness the exponential growth of consumer AI tools such as ChatGPT. Less visible to the public is how AI is poised to radically transform war planning and combat.
"I know it's tempting to write the bubble story," Mr Altman told me as he sat flanked by his top lieutenants. "In fact, there are many parts of AI that I think are kind of bubbly right now."
Meta Platforms is likely to deliver one of the most closely watched quarterly reports of the upcoming earnings season. With the company spending heavily to transition the social media giant into a more artificial intelligence (AI)-focused operation, investors will have all the more reason to focus on the " Magnificent Seven" stock. Investors might recall the 20% gain in the stock following the release of the February 2024 numbers.
These experiments led to two key discoveries, according to the paper. Tuning only the self-attention projection layers (SA Proj), the part of the model that helps it decide which input elements to focus on, allowed the models to learn new tasks with little or no measurable forgetting. Also, what initially appeared as forgotten knowledge often resurfaced when the model was later trained on another specialized task.
It's a phenomenon tied to the prevalence of text-based apps in dating. Recent surveys show that one in fiveadults under 30 met their partner on a dating app like Tinder or Hinge, and more than half are using dating apps. For years, app-based dating has been regarded as a profoundly alienating experience, a paradigm shift which coincides with a rapid rise in social isolation and loneliness.
"It happens too fast," he said, referring to sudden, disruptive technological change. He urged society, government and business to "figure out how we can save jobs," whether that's retraining, a new form of income, early retirement, he said there's a need for "something. You can't just take all these people and throw them on the street ... making $30,000 a year when they were making ($150,000), you'll have a revolution."
A research team from Stanford University has released Paper2Agent, a framework that automatically converts scientific papers into interactive AI agents. The system, introduced in a recent paper, aims to make research methods more accessible by transforming traditional publications into dynamic entities that can execute analyses, reproduce results, and respond to new scientific queries through natural language interaction. Paper2Agent builds on the Model Context Protocol (MCP), a standard that allows large language models to connect with external tools and datasets.
Although our focus is industrial, we work with a focus that is multi-vertical. We will always work with energy as our anchor-vertical and our focus in this market is on performance and mission-criticality as we work to fuel artificial intelligence deployments on upstream, midstream and downstream assets,
Gmail's "Help me schedule" feature utilizes Gemini to automatically set meeting times with people whose calendars you cannot view. According to Google, this feature should eliminate the need to send multiple emails to coordinate meeting times, especially with people who don't make their calendars visible to others. This feature only works when both participants are communicating via Gmail and using Google Calendar to schedule meetings. Additionally, this feature is limited to scheduling meetings with individual contacts, and does not work for multiple people or group meetings.
Beyond just ChatGPT, Shah is talking about going to apps like Google Gemini, Perplexity, and Anthropic's Claude to get information when you're researching an important purchase. While all of these platforms cite the places where they got the information in their natural language responses, in some cases they make their sources less prominent and not as easy to click through and verify. But Shah recommended that consumers go on that journey to make sure they understand which sources are shaping the information they are being fed by the chatbots in such a quick and digestible format.
It's fair to say that belief is rarely rational. We organize information into patterns that "feel" internally stable. Emotional coherence may be best explained as the "quiet logic" that makes a story satisfying, somewhat like a leader being convincing or a conspiracy being oddly reassuring. And here's what's so powerful-It's not about accuracy, it's the psychological comfort or even that "gut" feeling. When the pieces fit, the mind relaxes into complacency (or perhaps coherence).
"As we roll out age-gating more fully and as part of our 'treat adult users like adults' principle, we will allow even more, like erotica for verified adults," Altman writes. Earlier this month, OpenAI hinted at allowing developers to create "mature" ChatGPT apps after it implements the "appropriate age verification and controls." OpenAI isn't the only company dipping into erotica, as Elon Musk's xAI previously launched flirty AI companions, which appear as 3D anime models in the Grok app.
We've already had a couple of big announcements from Salesforce ahead of the event kicking off, which is a great way to get heads turning and tongues wagging. Chief among these is the launch of Agentforce 360, a new platform for building, deploying, and managing enterprise AI agents. The new service is essentially a rebranded Agentforce Builder, but Salesforce hopes to simplify and streamline the creation and testing of agents for enterprise users. You can read more on the announcement below.
"The cohort benchmark is based on a comparison cohort of employees within your company who share similar job functions, regions, or manager roles," the company noted. "The calculation uses Job function, Region, and Manager attributes to determine expected values by role. The cohort result looks at the role composition of the selected group, and constructs a weighted average expected result based on matching roles across the tenant."
"You all prove the point that so much of the internet is now dead," he told the hosts. Ohanian said that much of the internet was "botted" or "quasi-AI," referencing the proliferation of "LinkedIn slop." The Reddit cofounder referenced "dead internet theory," which asserts that there is more bot activity than human activity on the web. In September, OpenAI CEO Sam Altman posted on X that he "never took the dead internet theory that seriously," but that now he sees "a lot of LLM-run twitter accounts."