In this keynote and Q&A, Yuval Noah Harari summarizes and speculates on ‘AI and the future of humanity’.
There are a number of questions related to this discussion, including:
Our technological age is witnessing a breakthrough that has existential implications and risks. The innovative behemoth, ChatGPT, created by OpenAI, is ushering us inexorably into an AI economy where machines can spin human-like text, spark deep conversations and unleash unparalleled potential. However, this bold new frontier has its challenges. Security, privacy, data ownership and ethical considerations are complex issues that we must address, as they are no longer just hypothetical but a reality knocking at our door.
The G7, composed of the world’s seven most advanced economies, has recognized the urgency of addressing the impact of AI.
To understand how countries may approach AI, we need to examine a few critical aspects.
Continue reading “Generative AI Shakes Global Diplomacy At G7 Summit In Japan” »
That is, if you’re paying attention.
So Apple has restricted the use of OpenAI’s ChatGPT and Microsoft’s Copilot, The Wall Street Journal.
It’s not just Apple, but also Samsung and Verizon in the tech world and a who’s who of banks (Bank of America, Citi, Deutsche Bank, Goldman, Wells Fargo, and JPMorgan). This is because of the possibility of confidential data escaping; in any event, ChatGPT’s privacy policy explicitly says your prompts can be used to train its models unless you opt out. The fear of leaks isn’t unfounded: in March, a bug in ChatGPT revealed data from other users.
Continue reading “Big Tech is already warning us about AI privacy problems” »
Aubrey: 50% chance to LEV in 12–15 years, and a variety of topics from Rey Kurzweil to A.I. to Singularity, and so on.
In this podcast, Aubrey de Grey discusses his work as President and CSO at Lev Foundation and co-founder at Sense Research Foundation in the field of longevity. He explains how the Foundation’s focus is to combine rejuvenation and damage repair interventions to have greater efficacy in postponing aging and saving lives. De Grey believes that within 12 to 15 years, they have a 50% chance of achieving longevity escape velocity, which is postponing aging and rejuvenating the body faster than time passes. De Grey acknowledges the limitations of traditional approaches like exercise and diet in postponing aging and feels that future breakthroughs will come from high-tech approaches like skin and cell therapies. He discusses the potential of AI and machine learning in drug discovery and the possibility of using it to accelerate scientific experimentation to optimize decisions about which experiments to do next. De Gray cautions that the quality of conclusions from AI depends on the quality and quantity of input data and that the path towards defeating aging would require a symbiotic partnership between humans and AI. Finally, he discusses his excitement about the possibilities of hardware and devices like Apple Watch and Levels in tracking blood sugar levels and their potential to prolong life.
As big tech companies are in a fierce race with each other to build generative AI tools, they are being cautious about giving their secrets away. In a move to prevent any of its data from ending up with competitors, Apple has restricted internal use of tools like OpenAI’s ChatGPT and Microsoft-owned GitHub’s Copilot, a new report says.
According to The Wall Street Journal, Apple is worried about its confidential data ending up with developers who trained the models on user data. Notably, OpenAI launched the official ChatGPT app on iOS Thursday. Separately, Bloomberg reporter Mark Gurman tweeted that the chatbot has been on the list of restricted software at Apple for months.
I believe ChatGPT has been banned/on the list of restricted software at Apple for months. Obviously the release of ChatGPT on iOS today again makes this relevant.
Apple, like a number of companies right now, may be grappling with what role the newest advances in AI are playing, and should play, in its business. But one thing Apple is confident about is the fact that it wants to bring more generative AI talent into its business.
The Cupertino company has posted at least a dozen job ads on its career page seeking experts in generative AI. Specifically, it’s looking for machine learning specialists “passionate about building extraordinary autonomous systems” in the field. The job ads (some of which seem to cover the same role, or are calling for multiple applicants) first started appearing April 27, with the most recent of them getting published earlier this week.
The job postings are coming amid some mixed signals from the company around generative AI. During its Q2 earnings call earlier this month, CEO Tim Cook dodged giving specific answers to questions about what the company is doing in the area — but also didn’t dismiss it. While generative AI was “very interesting,” he said, Apple would be “deliberate and thoughtful” in its approach. Then yesterday, the WSJ reported that the company had started restricting use of OpenAI’s ChatGPT and other external generative AI tools for some employees over concerns of proprietary data leaking out through the platforms.
Self-driving vehicle companies Waymo and Cruise are on the cusp of securing final approval to charge fares for fully autonomous robotaxi rides throughout the city of San Francisco at all hours of the day or night.
Amid the city’s mounting resistance to the presence of AVs, the California Public Utilities Commission (CPUC) published two draft resolutions late last week that would grant Cruise and Waymo the ability to extend the hours of operation and service areas of their now-limited robotaxi services.
The drafts are dated for a hearing June 29, and there’s still room for public comments, which are due May 31. Based on the CPUC’s drafted language, many of the protests raised by the city of San Francisco have already been rejected.
As politicians and companies agree on the need to regulate AI, experts warn of regulatory capture — of letting corporations write lax rules that lead to public harm.
When politicians and corporations agree, suspicion is natural.
A machine learning-based method developed by a Mount Sinai research team allows medical facilities to forecast the mortality risk for certain cardiac surgery patients. The new method is the first institution-specific model for determining the risk of a cardiac patient before surgery and was developed using vast amounts of Electronic Health Data (EHR).
Comparing the data-driven approach to the current population-derived models reveals a considerable performance improvement.
Researchers hope the new app can help bridge the gap between supply and demand for mental health support.
Asking an AI chatbot to give a rundown on Napoleonic wars is fine. But using a chatbot service for a therapy session?
Even ChatGPT suggests going to a traditional mental health practitioner when you pour your heart out to the AI – perhaps because the most important element of therapy is the client-therapist relationship.
