A brief reflection on the current, shall we say, fearmongering surrounding AI and the potential impact it will have on society.
Category: robotics/AI – Page 661
Dangers of superintelligence | Separating sci-fi from plausible speculation
Just after filming this video, Sam Altman, CEO of OpenAI published a blog post about the governance of superintelligence in which he, along with Greg Brockman and Ilya Sutskever, outline their thinking about how the world should prepare for a world with superintelligences. And just before filming Geoffrey Hinton quite his job at Google so that he could express more openly his concerns about the imminent arrival of an artificial general intelligence, an AGI that could soon get beyond our control if it became superintelligent. So, the basic idea is moving from sci-fi speculation into being a plausible scenario, but how powerful will they be and which of the concerns about superAI are reasonably founded? In this video I explore the ideas around superintelligence with Nick Bostrom’s 2014 book, Superintelligence, as one of our guides and Geoffrey Hinton’s interviews as another, to try to unpick which aspects are plausible and which are more like speculative sci-fi. I explore what are the dangers, such as Eliezer Yudkowsky’s notion of a rapid ‘foom’ take over of humanity, and also look briefly at the control problem and the alignment problem. At the end of the video I then make a suggestion for how we could maybe delay the arrival of superintelligence by withholding the ability of the algorithms to self-improve themselves, withholding what you could call, meta level agency.
▬▬ Chapters ▬▬
00:00 — Questing for an Infinity Gauntlet.
01:38 — Just human level AGI
02:27 — Intelligence explosion.
04:10 — Sparks of AGI
04:55 — Geoffrey Hinton is concerned.
06:14 — What are the dangers?
10:07 — Is ‘foom’ just sci-fi?
13:07 — Implausible capabilities.
14:35 — Plausible reasons for concern.
15:31 — What can we do?
16:44 — Control and alignment problems.
18:32 — Currently no convincing solutions.
19:16 — Delay intelligence explosion.
19:56 — Regulating meta level agency.
▬▬ Other videos about AI and Society ▬▬
AI wants your job | Which jobs will AI automate? | Reports by OpenAI and Goldman Sachs.
• Which jobs will AI automate? | Report…
How ChatGPT Works (a non technical explainer):
The AI Revolution In Lead Generation: Navigating New Business Frontiers
The integration of Artificial Intelligence (AI) in lead generation is transforming how businesses identify and engage with potential customers.
Lead generation, a crucial aspect of business development, is undergoing a significant transformation thanks to AI. By leveraging machine learning, natural language processing, and predictive analytics, AI tools can identify prospective customers more accurately and engage them in a more personalized manner. This shift not only increases the volume of leads but also improves their quality, enabling businesses to focus their efforts on the most promising prospects, Einstein from Salesforce is a leader in customer relationship management (CRM), has integrated AI into its platform through Einstein. This AI-powered tool analyzes customer data to predict buying behaviors and recommend the most promising leads. For instance, a marketing agency used Einstein to prioritize leads based on their likelihood to convert, resulting in a 30% increase in sales productivity. HubSpot’s AI Lead Scoring: HubSpot offers an AI lead scoring system that ranks leads based on their potential value to the business. By analyzing historical data and user interactions, it helps companies focus their efforts on leads with the highest conversion potential. A technology startup reported a 25% increase in lead conversion rates after implementing HubSpot’s AI tool.
In addition, we have Drift’s AI Chatbots. Drift utilizes AI-powered chatbots to engage website visitors in real-time. These chatbots can qualify leads by asking pre-programmed questions, allowing businesses to capture information and engage prospects 24/7. A retail company using Drift reported a 40% increase in qualified leads due to the AI’s ability to engage customers outside of regular business hours. Consider LinkedIn Sales Navigator which leveraging AI, helps businesses find leads by analyzing user profiles and activities on LinkedIn. It suggests potential leads based on a company’s customer preferences and search history. A financial services company credited Sales Navigator with a 20% increase in new client acquisitions.
Moreover, MarketMuse uses AI to analyze content and suggest topics that attract and engage the target audience. A content marketing agency using MarketMuse experienced a 50% increase in web traffic, leading to a higher volume of inbound leads. Then, we have IBM Watson’s Personality Insights: This is a tool that analyzes communication styles and personality traits. A business consultancy used this tool to tailor its communication strategy to each lead’s personality, resulting in a 35% higher engagement rate.
Major security flaw in Apple, AMD, and Qualcomm GPUs puts AI data at risk
A Trail of Bits blog recently exposed this vulnerability.
Today’s revelations unveil a creative chink in various GPUs (Apple, Qualcomm, AMD), enabling substantial data pilfering from graphics card memory.
New AI tool predicts death and complications after heart surgery
“We combined the predictive model with patient feedback from the PCI Patient Advisory Council to transform machine learning into this patient-centered, individualized risk prediction tool,” said senior author Hitinder Gurm, MBBS, interim chief medical officer at U-M Health.
The tool can help you and your doctor make informed decisions about your treatment. It can also educate you about the potential risks and benefits of PCI. By using the tool, you can have more confidence and control over your health.
The researchers hope that the tool will improve the quality and safety of PCI, and ultimately, save lives.
Motile Living Biobots Self‐Construct from Adult Human Somatic Progenitor Seed Cells
Anthrobots: These remarkable spheroid-shaped multicellular biological robots, or biobots, are not the products of advanced robotics laboratories but are instead born from the inherent potential of adult human somatic progenitor seed cells.
Advanced Science is a high-impact, interdisciplinary science journal covering materials science, physics, chemistry, medical and life sciences, and engineering.
After AI’s summer: What’s next for artificial intelligence?
For example, the New York Times states: “The AI industry this year is set to be defined by one main characteristic: A remarkably rapid improvement of the technology as advancements build upon one another, enabling AI to generate new kinds of media, mimic human reasoning in new ways and seep into the physical world through a new breed of robot.”
Ethan Mollick, writing in his One Useful Thing blog, takes a similar view: “Most likely, AI development is actually going to accelerate for a while yet before it eventually slows down due to technical or economic or legal limits.”
The year ahead in AI will undoubtedly bring dramatic changes. Hopefully, these will include advances that improve our quality of life, such as the discovery of life saving new drugs. Likely, the most optimistic promises will not be realized in 2024, leading to some amount of pullback in market expectations. This is the nature of hype cycles. Hopefully, any such disappointments will not bring about another AI winter.
AI can copy HANDWRITING — can you tell it apart from the real thing?
AI tools like ChatGPT can draft letters, tell jokes and even give legal advice – but only in the form of computerized text.
Now, scientists have created an AI that can imitate human handwriting, which could herald fresh issues regarding fraud and fake documents.
Amazingly, the results are almost indistinguishable from the real thing drafted by human hands.