... Professor Christian Terwiesch, who authored the research paper"Would Chat GPT3 Get a Wharton MBA? A Prediction Based on Its Performance in the Operations Management Course," said that the bot scored between a B- and B on the exam.
The bot's score, Terwiesch wrote, shows its "remarkable ability to automate some of the skills of highly compensated knowledge workers in general and specifically the knowledge workers in the jobs held by MBA graduates including analysts, managers, and consultants." ...
Still, Terwiesch said ChatGPT3’s performance on the test has “important implications for business school education, including the need for exam policies, curriculum design focusing on collaboration between human and AI, opportunities to simulate real world decision making processes, the need to teach creative problem solving, improved teaching productivity, and more.” ...
... What we need is a dedicated agency to regulate A.I. An agency is nimbler than the legislative process, is staffed with experts and can reverse its decisions if it makes an error. Creating such an agency will be a difficult and huge undertaking because A.I. is complicated and still not well understood.
But there is precedent for establishing a necessary agency to protect people from harm. How molecules interact with millions of unique human beings is a complicated subject and not well understood. Yet we created an agency — the Food and Drug Administration — to regulate pharmaceutical drugs. ...
Congress has been slow to react when it comes to technological issues. But things are changing. We now have more members who are fluent in technology because they grew up with it, and we also have members like Representative Don Beyer, who is pursuing a master’s in machine learning. Having more members who recognize the promise of this technology — and its potential harms — will serve us well as we tackle this challenge. ...
... We are living through a bending in the curve of AI advancement, with things long viewed as next to impossible being accomplished on a seemingly weekly basis. There is a great saying in the AI world: People mistakenly believe AI is going to steal their job. It won’t. But someone who uses it better than they do will. ...
This is not a dire warning; it’s a call to rethink what’s possible. There is a long history of human-technology partnerships that, I believe, show us a more likely future. ...
Closer to home in creativity, Adobe’s suite of Creative Cloud tools has revolutionized an industry, but they are just as useless as a driverless car without a creator to bring an idea and direction into their powerful platform for idea substantiation. ...
AI-based tools have enabled a growing number of technology platforms to instantly unpack creative decisions in every frame of millions of ads, and compare that creative attribute information to a raft of performance signals. ...
But here’s the thing: The models can only tell us what the signals are. They cannot tell us the why. And in that “why” lies the strategic insight that can unlock millions of dollars in value for a marketer.
A human creative analyst can parse that stream of AI-enabled “whats” and get to the “why.” ...
... The images show women astronauts decked up as brides. The AI models are embellished with flowers and ornaments. One of them is also seen holding a helmet in her hand, while another is seen donning it with pride. ...
... The mass layoffs at Microsoft could be especially damaging to VR and AR efforts at Microsoft, as sources ofWindows Central say that the entire team from AltSpaceVR, acquired by Microsoft in 2017, has been laid off in the last week, with the company closing fully in March.
With AltSpaceVR formerly leading Microsoft's own "metaverse" work, it now leaves Microsoft Mesh as the potential replacement. ...
Another entire team culled from the company is the one behind the "MS "Mixed Reality Tool Kit (MRTK) framework, a cross-platform system for producing spatial anchors within virtual space. MRTK had some success, with it made for Unity VR integrations as well as working with headsets produced by Meta, and Microsoft's own HoloLens.
The removal of the MRTK and AltSpace VR teams means there's little impetus for Microsoft to continue working on the HoloLens headset. ...
AltspaceVR will be no more as of March 10, and Microsoft says it will direct more resources toward its mixed reality platform Microsoft Mesh.https://jac.yahoosandbox.com/1.5.1/safeframe.html
“We look forward to what is to come, including our launch of Microsoft Mesh, a new platform for connection and collaboration, starting by enabling workplaces around the world,” the announcement reads.
LOS ANGELES, Jan. 19, 2023 /PRNewswire/ --Dreamscape Learn, today, announced a $20 million Series A investment by backers including Bold Capital Partners, GSV Ventures, Verizon Ventures, and Cengage Group. Built in collaboration with Arizona State University (ASU), the company develops immersive learning experiences that blend innovative pedagogy with the emotional power of cinematic storytelling.
"When I first experienced this technology, I immediately knew it could power a whole new way of teaching," said Michael Crow, president of ASU. "It allows us to place students in situations and roles never before possible. When students are captivated by these environments, we can send them on academic missions that are authentic, rigorous and emotionally compelling." ...
To date, Dreamscape Learn and ASU have focused on the STEM fields with the highest failure rates and impact on college access and completion. Data suggests that just 20% of high school graduates are prepared for college-level coursework in STEM majors...
During the spring semester of 2022, hundreds of ASU biology students piloted Dreamscape Learn's biology lab experience. "Biology in the Alien Zoo" situates students as field biologists within a virtual environment conceived by Parkes and Steven Spielberg as a movie concept. Students are then sent on a variety of missions through which they encounter and solve complex life-science problems in the Alien Zoo. Astudy of this pilot found that participating students performed better on lab assignments and earned higher lab grades than those in traditional science labs. ...
... Mr. Page and Mr. Brin, who had not spent much time at Google since they left their daily roles with the company in 2019, reviewed Google’s artificial intelligence product strategy, according to two people with knowledge of the meetings who were not allowed to discuss them. They approved plans and pitched ideas to put more chatbot features into Google’s search engine. And they offered advice to company leaders, who have put A.I. front and center in their plans.
The re-engagement of Google’s founders, at the invitation of the company’s current chief executive, Sundar Pichai, emphasized the urgency felt among many Google executives about artificial intelligence and that chatbot, ChatGPT. ...
In 2014, Google also acquired DeepMind, a leading A.I. research lab based in London. ...
“We continue to test our A.I. technology internally to make sure it’s helpful and safe, and we look forward to sharing more experiences externally soon,” Lily Lin, a spokeswoman for Google, said in a statement. ...
The company established a fast-track review process called the “Green Lane” initiative, pushing groups of employees who try to ensure that technology is fair and ethical to more quickly approve its upcoming A.I. technology. ...
The company will also find ways for teams developing A.I. to conduct their own reviews, and it will “recalibrate” the level of risk it is willing to take when releasing the technology, according to the presentation. ...
... Aside from incorporating impactful technology into the VITURE One, other patented features enable the glasses to deliver next-level immersive experiences. These include accessibility features, such as the swappable nose bridge pads, the option to adjust the XR glasses to your eye prescription, a magnetic connector for easier linking to other devices, and head-tilt navigation for fully hands-free navigation. ...
Through Jiang’s experiences, studying at the Harvard School of Design, working as a Microsoft intern, and working at Google, he discovered how users interact with personal technology. This discovery was a major influence on how the VITURE One XR glasses are designed, putting an emphasis on providing users with an optimal experience.
As an expert in spatial tech, as well as in AR tech and design, Jiang was able to design innovative wearable tech that’s both functional and fashionable. ...
... What if it did have ulterior motives, though? That’s the question at the heart of a fascinating new paper I read this week, which offers a comprehensive analysis of how AI-generated text can and almost certainly will be used to spread propaganda and other influence operations — and offers some thoughtful ideas on what governments, AI developers, and tech platforms might do about it.
The potential of language models to rival human-written content at low cost suggests that these models—like any powerful technology—may provide distinct advantages to propagandists who choose to use them. These advantages could expand access to a greater number of actors, enable new tactics of influence, and make a campaign’s messaging far more tailored and potentially effective. ...
The worst case scenario might look something like what the researcher Aviv Ovadya has called the infocalypse: an internet where ubiquitous synthetic media reduces societal trust to near zero, as no one is ever sure who created what they are looking at or why. ...
In the subfield of computer vision, researchers at Meta have demonstrated that images produced by AI models can be identified as AI-generated if they are trained on “radioactive data”—that is, images that have been imperceptibly altered to slightly distort the training process. This detection is possible even when as little as 1% of a model’s training data is radioactive and even when the visual outputs of the model look virtually identical to normal images. It may be possible to build language models that produce more detectable outputs by similarly training them on radioactive data; however, this possibility has not been extensively explored, and the approach may ultimately not work. ...
