“OpenAI was created as an open source (which is why I named it ‘Open’ AI), non-profit company to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft,” Musk tweeted (Opens in a new window) today. “Not what I intended at all.”
OpenAI this week acknowledged that its process for “fine-tuning” ChatGPT is “imperfect.”
“Sometimes the fine-tuning process falls short of our intent (producing a safe and useful tool) and the user’s intent (getting a helpful output in response to a given input),” OpenAI says (Opens in a new window). “Improving our methods for aligning AI systems with human values is a top priority (Opens in a new window) for our company, particularly as AI systems become more capable.”
Today, Roblox provides creators with a platform that enables end-to-end tools, services, and support to help them build the most immersive 3D experiences. With Roblox Studio, creators have everything they need, out-of-the-box and for free, to build their experiences and publish immediately on all popular platforms, reaching 61 million people daily worldwide. With the advent of generative AI techniques, however, we are seeing an opportunity to revolutionize creation on the platform, both by augmenting Roblox Studio to make creation dramatically faster and easier, and also by enabling every user on Roblox to be a creator.
As we all know, generative AI learns the underlying patterns and structures of data and generates new content, such as images, audio, code, text, 3D models, or other forms of media, that have not been seen before. With a dramatic acceleration in these tools’ effectiveness for everyday content creation, this technology is at an inflection point. It now has the capability to capture the creator’s intent, provide a broad range of digital editing capabilities, help create the content, and allow for fast iteration. We have already heard from Roblox creators about how they are using this technology to create. However, these off-the-shelf AI systems are not integrated with our platform and they often do not produce “Roblox ready” output that requires substantial follow on work from a creator. We see an incredible opportunity to build generative AI tools and APIs focused on Roblox.
Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.
‘We’ve put together the top 10 technology trends to watch out for in 2023 that will help enterprises be future-ready and build resilience within their organisation to thrive in any new normal,’ Kalyan Kumar, Chief Technology Officer and Head of Ecosystems of HCL Tech said in a release.
“I think I’m probably just as guilty as everybody else,” Toyota Research Institute’s (TRI) senior vice president of robotics, Max Bajracharya, admits. “It’s like, now our GPUs are better. Oh, we got machine learning and now you know we can do this. Oh, okay, maybe that was harder than we thought.”
Ambition is, of course, an important aspect of this work. But there’s also a grand, inevitable tradition of relearning mistakes. The smartest people in the room can tell you a million times over why a specific issue hasn’t been solved, but it’s still easy to convince yourself that this time — with the right people and the right tools — things will just be different.
In the case of TRI’s in-house robotics team, the impossible task is the home. The lack of success in the category hasn’t been for lack of trying. Generations of roboticists have agreed that there are plenty of problems waiting to be automated, but thus far, successes have been limited. Beyond the robotic vacuum, there’s been little in the way of breakthrough.
Say you have a cutting-edge gadget that can crack any safe in the world—but you haven’t got a clue how it works. What do you do? You could take a much older safe-cracking tool—a trusty crowbar, perhaps. You could use that lever to pry open your gadget, peek at its innards, and try to reverse-engineer it. As it happens, that’s what scientists have just done with mathematics.
Researchers have examined a deep neural network—one type of artificial intelligence, a type that’s notoriously enigmatic on the inside—with a well-worn type of mathematical analysis that physicists and engineers have used for decades. The researchers published their results in the journal PNAS Nexus on January 23. Their results hint their AI is doing many of the same calculations that humans have long done themselves.
The paper’s authors typically use deep neural networks to predict extreme weather events or for other climate applications. While better local forecasts can help people schedule their park dates, predicting the wind and the clouds can also help renewable energy operators plan what to put into the grid in the coming hours.
00:00 Intro. 01:01 ChatGPT x Neuralink. 16:45 Inserting stents into blood vessels. 26:48 Pros & Cons of Neuralink’s architecture. 31:55 Neuralink clinics. 33:51 Downloading our minds onto a Tesla Optimus Bot. 52:30 If you get a Neuralink, will you lose free will? 1:04:16 AI helping Neuralink. 1:09:55 Everyone’s brain is unique. 1:23:16 Getting a Neuralink as a baby. 1:25:20 Sleep paralysis. 1:30:01 Nanotechnology x Neuralink. 1:31:59 James has an idea for Neuralink. 1:46:22 James’ favorite answer to the Fermi Paradox. 1:55:08 Haha smile
Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.
‘Is AI Extending the Mind?’ is the second annual workshop by Cross Labs, this year held virtually from April 11 – 15, 2022. About the workshopThe extended mi…
Could we imagine a world where our minds are fused together and interlinked with machine intelligence to such a degree that every facet of consciousness is infinitely augmented? How could we explore the landscapes of inner space, when human brains and synthetic intelligence blend together to generate new structures of consciousness? Is it possible to interpret the ongoing geopolitical events through the lens of the awakening Gaia perspective?
“When we look through the other end of the telescope, however, we can see a different pattern. We can make out what I call the One Mind — not a subdivision of consciousness, but the overarching, inclusive dimension to which all the mental components of all individual minds, past, present, and future belong. I capitalize the One Mind to distinguish it from the single, one mind that each individual appears to possess.” — Larry Dossey
Is humanity evolving into a hybrid cybernetic species, interconnected through the Global Mind? When might the Web become self-aware? What will it feel like to elevate our consciousness to a global level once our neocortices are fully connected to the Web?
THE SYNTELLECT HYPOTHESIS: A NEW EXTENSION TO THE GAIA THEORY
