Got SonicWall firewalls? 2 security flaws in them can be abused for denial-of-service attacks.
Two flaws discovered a year apart are ostensibly the same with slightly different exploit paths, exposing corporate networks to risk and potential intrusion.
Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhDDiscount Links: Green Tea: https://www.ochaandco.com/?ref=conqueragingTelomere, Epigenetic Te…
Vallianatos et al. study the functional interactions of KMT2A and KDM5C, H3K4me enzymes known to be involved in neurodevelopmental disorders. Using genetic mouse models, neuronal structure analysis, neurobehavior, and epigenomic profiling, they demonstrate a mutually suppressive relationship between KMT2A and KDM5C during neurodevelopment.
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 ▬▬
Solar energy is traditionally known for using massive solar panels that collect sunlight and convert it into clean energy, but what if this same energy was instead beamed from satellites in orbit around the Earth, known as space solar power? This is the goal of Space Solar Power Demonstrator (SSPD-1), which is a 110-pound (50-kilogram) project run by the California Institute of Technology (Caltech). SSPD-1 was launched onboard the SpaceX Transporter-6 mission on January 3, 2023, and recently concluded its mission after conducting a series of experiments, including the ability to wirelessly beam solar power from space to Earth, which it accomplished in early 2023.
“Solar power beamed from space at commercial rates, lighting the globe, is still a future prospect. But this critical mission demonstrated that it should be an achievable future,” said Dr. Thomas F. Rosenbaum, who is the President of Caltech and the Sonja and William Davidow Presidential Chair and professor of physics.
SSPD-1 successfully demonstrated three experiments during its one-year mission: DOLCE (Deployable on-Orbit ultraLight Composite Experiment), ALBA, and MAPLE (Microwave Array for Power-transfer Low-orbit Experiment). DOLCE demonstrated the architecture necessary for developing space solar power, ALBA demonstrated how to harness solar energy in space, and MAPLE demonstrated how this energy could be wirelessly beamed to Earth.
A couple of new features are coming to Google Search, starting with the self-explanatory Circle to Search — but only on a handful of Android phones.
It’s hard to think of a more self-explanatory feature than Circle to Search: it does exactly what it sounds like it does.
It’s exactly what it sounds like.
After acquiring Cron in 2022, Notion is bringing the calendar app fully into its all-in-one workspace.
Notion users have been asking for an integrated calendar system for years.
Notion wants to be the only app your company uses, and that means winning at meetings.
Its performance matches the smartest high school mathematicians and is much stronger than the previous state-of-the-art system.
Google DeepMind has created an AI system that can solve complex geometry problems.
The PRISM AI system uses data from millions of patients to help identify those likely to develop the most common form of the disease.
A new AI system could help detect the most common form of pancreatic cancer, new research has found.
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.
