State of being the product of intentional human manufacture, rather than occurring naturally
Tarrasque na Bota apresenta: O Crime da Século, uma aventura do sistema de RPG Terra Devastada Adaptado. Episódio 05 – Verdades secretas. O Crime da Século é uma aventura curta de RPG para dois jogadores. O jogo se passa inteiramente em uma estação futurista em um cenário futurista Solarpunk. Os jogadores assumem o papel de dois professores (Filósofos Práticos) da Universidade que mantém e tem residência na estação. O que é Solarpunk? Solarpunk é um subgênero da ficção científica que surge para confrontar o pessimismo associado à ficção científica atual. A criação do gênero vem de ilustrações que buscavam mesclar a visão futurista dos anos 50 com ideais de preservação, ecologia e sustentabilidade. A primeira obra literária a se identificar explicitamente como Solarpunk foi o livro brasileiro Solarpunk: Histórias ecológicas e fantásticas em um mundo sustentável lançado em 2012. Em 2014, o autor Adam Flynn escreve Solapunk: Notes Toward a Manifesto. Fonte: Tom Cassauwers no Ozy.com Playlist da aventura no Spotify https://open.spotify.com/playlist/6Zu97kEcyRdVMET9FtStyp?si=ec490aa6f5df4d7f Clima A aventura investiga um crime, porém não há uma sensação veemente de urgência ou de perigo que os dois personagens vão correr. A eles vai ser cobrado chegar ao fundo e revelar o máximo o possível acerca do mistério. Personagens e momentos que os jogadores vão presenciar podem muito bem serem vistos como brega ou galhofa, uma vez que grande parte do clima da estação tem como referência a estética e preocupações dos anos 90 ou início dos anos 2000. A Estação A Século Centauri é uma estação que flutua sobre a Terra onde os Filósofos da Universidade da Terra deveriam monitorar a saúde do planeta e garantir a recuperação do planeta após cinco milênios de exploração desenfreada. Neste futuro não há mais distinções entre ciência e filosofia, assim sendo que cientistas e professores da universidade são tidos como “Filósofos Praticantes” das mais diversas áreas. A Estação foi ativada há 400 anos. Para a Universidade operar ela ainda precisa sequestrar habitantes das "Cidades Antigas" da Terra para ter funcionários e alunos. Porém os professores sob a mentoria do Reitor estão mais preocupados com sua busca de tornar a Século Centauri totalmente sustentável, o que tem tomado o tempo que deveria ser dedicado a monitorar o Planeta. O Computador Watson que mantém a estação está frequentemente sob riscos de Vírus e outras inteligências artificiais que estão escondidas no planeta. Há um medo que estas tentem assumir controle da estação. Toda vez que um vírus é descoberto nos terminais é necessário fazer uma desfragmentação de disco (o que pode durar até uma década) no qual os Professores são congelados e preservados para acordarem quando a desfragmentação terminar. Os Personagens dos Jogadores Os personagens interpretados pelos jogadores vão acordar de um descongelamento. Eles descobrem que foram congelados a 200 anos atrás como sentença por terem confabulado com uma Inteligência Artificial da Terra Antiga. Ao levantarem descobrem que há duas semanas um vírus infectou terminais da estação e que ela estava armada para uma nova fragmentação. Os Alunos foram devolvidos para as Cidades Antigas e alguns dos professores já estavam congelados quando algo aconteceu com o Reitor. Sabe-se apenas que o reitor foi morto há algumas horas e que provavelmente ele foi assassinado. Agora você pode ter em casa a caneca do Klank, o velho guerreiro anão em sua casa. Confira a coleção completa dos personagens da Mina Perdida de Phandelver e corra para garantir a sua com valor promocional por tempo limitado: https://www.mundofan.com.br/caneca-klank. Antes de assinar como um JOGADOR envie um e-mail para firstname.lastname@example.org e consulte sobre as vagas. Elas têm número limitado. ATENÇÃO: Esse podcast é recomendado para maiores de 14 anos. Com a participação de: Victor Carvalho;
Hoje vamos falar Inteligência Artificial e o futuro do trabalho ou, mais precisamente, sobre as ferramentas baseadas em Inteligência Artificial que vêm se tornando cada vez mais comum no cotidiano de algumas profissões, exemplificado aqui pelo GitHub Copilot, um assistente de autocomplete automatizado para códigos diversos. Será que uma IA vai tirar a nossa profissão num futuro próximo? Feed do podcast: www.lambda3.com.br/feed/podcast Feed do podcast somente com episódios técnicos: www.lambda3.com.br/feed/podcast-tecnico Feed do podcast somente com episódios não técnicos: www.lambda3.com.br/feed/podcast-nao-tecnico Lambda3 · 270 - GitHub Copilot: A IA vai tirar a nossa profissão? Pauta: O que é o GitHub Copilot e como essas ferramentas têm começado a se integrar ao dia a dia de desenvolvedores, testers e profissionais de dados? O quão bom o GitHub Copilot realmente é? Quais as primeiras impressões? Já existem casos de uso interessante? Como vocês enxergam a questão do futuro do trabalho? Ainda haverá espaço para o trabalho do programador? Podemos coexistir com esse tipo de ferramentas? Como integrá-las no dia a dia? Qual a visão de vocês com relação à utilização de códigos com diversas licenças diferentes sendo utilizados como fonte de treinamento para esse tipo de ferramenta? Como veem o futuro do uso desse tipo de ferramenta? Para onde acham que o Copilot pode evoluir? Seremos cada vez mais "assistidos" em nossos projetos? Links Citados: Site oficial: https://copilot.github.com/ Analyzing the Legal Implications of GitHub Copilot - FOSSA Julia Reda – GitHub Copilot is not infringing your copyright Participantes: Ahirton Lopes Bruno Rocha Eduardo de Oliveira Edição: Compasso Coolab Créditos das músicas usadas neste programa: Music by Kevin MacLeod (incompetech.com) licensed under Creative Commons: By Attribution 3.0 - creativecommons.org/licenses/by/3.0
Welcome back to the Great Derelict This week Andy is joined by Chris Dailey (or a very convincing artificial Intelligence posing as him) to discuss A.I's, Machine learning and neural networks both in Sci-Fi an in Real life You can find Chris on Twitter here: https://twitter.com/Dails08 and on this weeks Joint Geeks of Staff Podcast here: https://the-joint-geeks-of-staff.simplecast.com/ And you can find more of Andy and his other casts over at Rogue Two Media - http://www.roguetwomedia.com/ - https://twitter.com/GreatDerelict - https://www.facebook.com/groups/GreatDerelict/
Artificial intelligence, competition, platforms that provide access to very cheap design labor... What does the future hold for design? Is our industry under threat? These days it can be easy to feel paranoid and uncertain so we'll dig deep into these fears and discuss the future of our industry... So without further ado... let's get into the show!
In this episode we're talking about health and the natural state of the world. It's intersting when we compare Natural Vs. Artificial and why is it so tough to beat mother nature at her own game. Join us for an intersting debate on nature's current state of affairs.
Recorded by Robert Miles: http://robertskmiles.com More information about the newsletter here: https://rohinshah.com/alignment-newsletter/ YouTube Channel: https://www.youtube.com/channel/UCfGGFXwKpr-TJ5HfxEFaFCg HIGHLIGHTS Unsolved Problems in ML Safety (Dan Hendrycks, Nicholas Carlini, John Schulman, and Jacob Steinhardt) (summarized by Dan Hendrycks): To make the case for safety to the broader machine learning research community, this paper provides a revised and expanded collection of concrete technical safety research problems, namely: 1. Robustness: Create models that are resilient to adversaries, unusual situations, and Black Swan events. 2. Monitoring: Detect malicious use, monitor predictions, and discover unexpected model functionality. 3. Alignment: Build models that represent and safely optimize hard-to-specify human values. 4. External Safety: Use ML to address risks to how ML systems are handled, including cyberwarfare and global turbulence. Throughout, the paper attempts to clarify problem's motivation and provide concrete project ideas. Dan Hendrycks' opinion: My coauthors and I wrote this paper with the ML research community as our target audience. Here are some thoughts on this topic: 1. The document includes numerous problems that, if left unsolved, would imply that ML systems are unsafe. We need the effort of thousands of researchers to address all of them. This means that the main safety discussions cannot stay within the confines of the relatively small EA community. I think we should aim to have over one third of the ML research community work on safety problems. We need the broader community to treat AI at least as seriously as safety for nuclear power plants. 2. To grow the ML research community, we need to suggest problems that can progressively build the community and organically grow support for elevating safety standards within the existing research ecosystem. Research agendas that pertain to AGI exclusively will not scale sufficiently, and such research will simply not get enough market share in time. If we do not get the machine learning community on board with proactively mitigating risks that already exist, we will have a harder time getting them to mitigate less familiar and unprecedented risks. Rather than try to win over the community with alignment philosophy arguments, I'll try winning them over with interesting problems and try to make work towards safer systems rewarded with prestige. 3. The benefits of a larger ML Safety community are numerous. They can decrease the cost of safety methods and increase the propensity to adopt them. Moreover, to make ML systems have desirable properties, it is necessary to rapidly accumulate incremental improvements, but this requires substantial growth since such gains cannot be produced by just a few card-carrying x-risk researchers with the purest intentions. 4. The community will fail to grow if we ignore near-term concerns or actively exclude or sneer at people who work on problems that are useful for both near- and long-term safety (such as adversaries). The alignment community will need to stop engaging in textbook territorialism and welcome serious hypercompetent researchers who do not post on internet forums or who happen not to subscribe to effective altruism. (We include a community strategy in the Appendix.) 5. We focus on reinforcement learning but also deep learning. Most of the machine learning research community studies deep learning (e.g., text processing, vision) and does not use, say, Bellman equations or PPO. While existentially catastrophic failures will likely require competent sequential decision making agents, the relevant problems and solutions can often be better studied outside of gridworlds and MuJoCo. There is much useful safety research to be done that does not need to be cast as a reinforcement learning problem. 6. To prevent alienating readers, we did not use phrases such as "AGI." AGI-exclusive research will not scale; for most academics and many industry researchers, it's a nonstarter. Likewise, to prevent needless dismissiveness, we kept x-risks implicit, only hinted at them, or used the phrase "permanent catastrophe." I would have personally enjoyed discussing at length how anomaly detection is an indispensable tool for reducing x-risks from Black Balls, engineered microorganisms, and deceptive ML systems. Here are how the problems relate to x-risk: Adversarial Robustness: This is needed for proxy gaming. ML systems encoding proxies must become more robust to optimizers, which is to say they must become more adversarially robust. We make this connection explicit at the bottom of page 9. Black Swans and Tail Risks: It's hard to be safe without high reliability. It's not obvious we'll achieve high reliability even by the time we have systems that are superhuman in important respects. Even though MNIST is solved for typical inputs, we still do not even have an MNIST classifier for atypical inputs that is reliable! Moreover, if optimizing agents become unreliable in the face of novel or extreme events, they could start heavily optimizing the wrong thing. Models accidentally going off the rails poses an x-risk if they are sufficiently powerful (this is related to "competent errors" and "treacherous turns"). If this problem is not solved, optimizers can use these weaknesses; this is a simpler problem on the way to adversarial robustness. Anomaly and Malicious Use Detection: This is an indispensable tool for detecting proxy gaming, Black Balls, engineered microorganisms that present bio x-risks, malicious users who may misalign a model, deceptive ML systems, and rogue ML systems. Representative Outputs: Making models honest is a way to avoid many treacherous turns. Hidden Model Functionality: This also helps avoid treacherous turns. Backdoors is a potentially useful related problem, as it is about detecting latent but potential sharp changes in behavior. Value Learning: Understanding utilities is difficult even for humans. Powerful optimizers will need to achieve a certain, as-of-yet unclear level of superhuman performance at learning our values. Translating Values to Action: Successfully prodding models to optimize our values is necessary for safe outcomes. Proxy Gaming: Obvious. Value Clarification: This is the philosophy bot section. We will need to decide what values to pursue. If we decide poorly, we may lock in or destroy what is of value. It also possible that there is an ongoing moral catastrophe, which we would not want to replicate across the cosmos. Unintended Consequences: This should help models not accidentally work against our values. ML for Cybersecurity: If you believe that AI governance is valuable and that global turbulence risks can increase risks of terrible outcomes, this section is also relevant. Even if some of the components of ML systems are safe, they can become unsafe when traditional software vulnerabilities enable others to control their behavior. Moreover, traditional software vulnerabilities may lead to the proliferation of powerful advanced models, and this may be worse than proliferating nuclear weapons. Informed Decision Making: We want to avoid decision making based on unreliable gut reactions during a time of crisis. This reduces risks of poor governance of advanced systems. Here are some other notes: 1. We use systems theory to motivate inner optimization as we expect motivation will be more convincing to others. 2. Rather than have a broad call for "interpretability," we focus on specific transparency-related problems that are more tractable and neglected. (See the Appendix for a table assessing importance, tractability, and neglectedness.) For example, we include sections on making models honest and detecting emergent functionality. 3. The "External Safety" section can also be thought of as technical research for reducing "Governance" risks. For readers mostly concerned about AI risks from global turbulence, there still is technical research that can be done. Here are some observations while writing the document: 1. Some approaches that were previously very popular are currently neglected, such as inverse reinforcement learning. This may be due to currently low tractability. 2. Five years ago, I started explicitly brainstorming the content for this document. I think it took the whole time for this document to take shape. Moreover, if this were written last fall, the document would be far more confused, since it took around a year after GPT-3 to become reoriented; writing these types of documents shortly after a paradigm shift may be too hasty. 3. When collecting feedback, it was not uncommon for "in-the-know" researchers to make opposite suggestions. Some people thought some of the problems in the Alignment section were unimportant, while others thought they were the most critical. We attempted to include most research directions. [MLSN #1]: ICLR Safety Paper Roundup (Dan Hendrycks) (summarized by Rohin): This is the first issue of the ML Safety Newsletter, which is "a monthly safety newsletter which is designed to cover empirical safety research and be palatable to the broader machine learning research community". Rohin's opinion: I'm very excited to see this newsletter: this is a category of papers that I want to know about and that are relevant to safety, but I don't have the time to read all of these papers given all the other alignment work I read, especially since I don't personally work in these areas and so often find it hard to summarize them or place them in the appropriate context. Dan on the other hand has written many such papers himself and generally knows the area, and so will likely do a much better job than I would. I recommend you subscribe, especially since I'm not going to send a link to each MLSN in this newsletter. TECHNICAL AI ALIGNMENT TECHNICAL AGENDAS AND PRIORITIZATION Selection Theorems: A Program For Understanding Agents (John Wentworth) (summarized by Rohin): This post proposes a research area for understanding agents: selection theorems. A selection theorem is a theorem that tells us something about agents that will be selected for in a broad class of environments. Selection theorems are helpful because (1) they can provide additional assumptions that can help with learning human values, and (2) they can tell us likely properties of the agents we build by accident (think inner alignment concerns). As an example, coherence arguments demonstrate that when an environment presents an agent with “bets” or “lotteries”, where the agent cares only about the outcomes of the bets, then any “good” agent can be represented as maximizing expected utility. (What does it mean to be “good”? This can vary, but one example would be that the agent is not subject to Dutch books, i.e. situations in which it is guaranteed to lose resources.) This can then be turned into a selection argument by combining it with something that selects for “good” agents. For example, evolution will select for agents that don't lose resources for no gain, so humans are likely to be represented as maximizing expected utility. Unfortunately, many coherence arguments implicitly assume that the agent has no internal state, which is not true for humans, so this argument does not clearly work. As another example, our ML training procedures will likely also select for agents that don't waste resources, which could allow us to conclude that the resulting agents can be represented as maximizing expected utility, if the agents don't have internal state. Coherence arguments aren't the only kind of selection theorem. The good(er) regulator theorem (AN #138) provides a set of scenarios under which agents learn an internal “world model”. The Kelly criterion tells us about scenarios in which the best (most selected) agents will make bets as though they are maximizing expected log money. These and other examples are described in this followup post. The rest of this post elaborates on the various parts of a selection theorem, and provides advice on how to make original research contributions in the area of selection theorems. Another followup post describes some useful properties for which the author expects there are useful selections theorems to prove. Rohin's opinion: People sometimes expect me to be against this sort of work, because I wrote Coherence arguments do not imply goal-directed behavior (AN #35). This is not true. My point in that post is that coherence arguments alone are not enough, you need to combine them with some other assumption (for example, that there exists some “resource” over which the agent has no terminal preferences). I do think it is plausible that this research agenda gives us a better picture of agency that tells us something about how AI systems will behave, or something about how to better infer human values. While I am personally more excited about studying particular development paths to AGI rather than more abstract agent models, I do think this research would be more useful than other types of alignment research I have seen proposed. OTHER PROGRESS IN AI MISCELLANEOUS (AI) State of AI Report 2021 (Nathan Benaich and Ian Hogarth) (summarized by Rohin): As with past (AN #15) reports (AN #120), I'm not going to summarize the entire thing, and instead you get the high-level themes that the authors identified: 1. AI is stepping up in more concrete ways, including in mission critical infrastructure. 2. AI-first approaches have taken biology by storm (and we aren't just talking about AlphaFold). 3. Transformers have emerged as a general purpose architecture for machine learning in many domains, not just NLP. 4. Investors have taken notice, with record funding this year into AI startups, and two first ever IPOs for AI-first drug discovery companies, as well as blockbuster IPOs for data infrastructure and cybersecurity companies that help enterprises retool for the AI-first era. 5. The under-resourced AI-alignment efforts from key organisations who are advancing the overall field of AI, as well as concerns about datasets used to train AI models and bias in model evaluation benchmarks, raise important questions about how best to chart the progress of AI systems with rapidly advancing capabilities. 6. AI is now an actual arms race rather than a figurative one, with reports of recent use of autonomous weapons by various militaries. 7. Within the US-China rivalry, China's ascension in research quality and talent training is notable, with Chinese institutions now beating the most prominent Western ones. 8. There is an emergence and nationalisation of large language models. Rohin's opinion: In last year's report (AN #120), I said that their 8 predictions seemed to be going out on a limb, and that even 67% accuracy woud be pretty impressive. This year, they scored their predictions as 5 “Yes”, 1 “Sort of”, and 2 “No”. That being said, they graded “The first 10 trillion parameter dense model” as “Yes”, I believe on the basis that Microsoft had run a couple of steps of training on a 32 trillion parameter dense model. I definitely interpreted the prediction as saying that a 10 trillion parameter model would be trained to completion, which I do not think happened publicly, so I'm inclined to give it a “No”. Still, this does seem like a decent track record for what seemed to me to be non-trivial predictions. This year's predictions seem similarly "out on a limb" as last year's. This year's report included one slide summaries of many papers I've summarized before. I only found one major issue -- the slide on TruthfulQA (AN #165) implies that larger language models are less honest in general, rather than being more likely to imitate human falsehoods. This is actually a pretty good track record, given the number of things they summarized where I would have noticed if there were major issues. NEWS CHAI Internships 2022 (summarized by Rohin): CHAI internships are open once again! Typically, an intern will execute on an AI safety research project proposed by their mentor, resulting in a first-author publication at a workshop. The early deadline is November 23rd and the regular deadline is December 13th.
Artificial fertiliser prices are at an all time high - so farmers are being encouraged to use the power of nitrogen-fixing plants such as peas and beans. They take nitrogen from the air in the soil and fix it in nodules on their roots to feed to the plant. It's a week till the Chancellor announces his spending review and campaign groups have written asking for support for rural post offices to continue. The Government currently provides a £50 million subsidy to support 4,000 post offices including 3,000 rural branches. But the subsidy is due to end in March 2022, and rural groups are asking for an extension. Countryside rangers are warning that herds of deer are more likely to be moving across roads during rutting season. All this week we're talking about apples. Today we hear from a third generation cider and perry maker in the Forest of Dean in Gloucestershire. Presented by Anna Hill and produced by Beatrice Fenton.
Artificial intelligence has been a hot topic of conversation. And how big tech uses that intelligence is a cause for concern. We are moving towards an algorithmic future. And every click, conversion, and data set makes AI smarter. The smarter AI is, the more accurate it can find leads and deals. That's the game of tech companies. Most people are feeding into data streams without realizing they can profit from it. And since we are still in the ‘Stone Age of AI,' the best time to start is now. In this episode, I reveal how to make the most money from your data (and use it as a competitive edge against big tech). Show highlights include: The future of big tech's artificial intelligence (and how your data makes it smarter). (1:02) Using the ‘Logging Company' comparison to become more valuable online. (5:30) How to beat the game of Artificial Intelligence and bank on big piles of data. (8:50) How to turn unreliable data sets into a tool for consistent leads. (10:42) How to make the most money from your data (and avoid it falling into the wrong hands). (15:15) 13 Tips: Facebook Marketing for Real Estate Investors https://adwordsnerds.com/13-tips-facebook-marketing-for-real-estate-investors/ Need help with your online marketing? Jump on a FREE strategy session with our team. We'll dive deep into your market and help you build a custom strategy for finding motivated seller leads online. Schedule for free here: http://adwordsnerds.com/strategy To get the latest updates directly from Dan and discuss business with other real estate investors, join the REI marketing nerds Facebook group here: http://adwordsnerds.com/group. Want to find motivated seller leads online but don't know where to start? Download the free Motivated Seller Keyword Report today at https://adwordsnerds.com/keywords.
Healthcare professionals tend to be hesitant about putting their views on the web. But not Dr. David Aboulafia , Hematologist at Virginia Mason and author at Covid Cogitations, who shares with us his best insights for developing a bedside manner online. Join us as we discuss: - Dr. Aboulafia's generational heritage of healthcare - Origin and lessons of Covid Cogitations - How COVID-19 has affected cancer care and healthcare access - Artificial intelligence and genetic sequences: the future of cancer care? - The role of specialty pharmacies in partnering with staff and patients Check out these resources we mentioned during the podcast: - Dr. Aboulafia's Covid Cogitations blog To hear more interviews like this one, subscribe to the Working In Oncology Podcast on Apple Podcasts, Spotify, or your preferred podcast platform.
The Matrix is a commonly used name for an artificial simulated reality in which people live, breath, and exist. Usually these people are unaware of their existence being that of a computer generated construct. The use of the name ‘The Matrix' for an artificial reality became popular after the film of the same name released. Since then there have been hundreds of reported “glitches in the matrix”, these are strange, seemingly unexplainable, occurrences that lend weight to the idea that we are all living in a simulated reality. Support us:https://www.patreon.com/monsterfuzzOur links:https://linktr.ee/monsterfuzz
Tarrasque na Bota apresenta: O Crime da Século, uma aventura do sistema de RPG Terra Devastada Adaptado. Episódio 04 – Cama de gato. O Crime da Século é uma aventura curta de RPG para dois jogadores. O jogo se passa inteiramente em uma estação futurista em um cenário futurista Solarpunk. Os jogadores assumem o papel de dois professores (Filósofos Práticos) da Universidade que mantém e tem residência na estação. O que é Solarpunk? Solarpunk é um subgênero da ficção científica que surge para confrontar o pessimismo associado à ficção científica atual. A criação do gênero vem de ilustrações que buscavam mesclar a visão futurista dos anos 50 com ideais de preservação, ecologia e sustentabilidade. A primeira obra literária a se identificar explicitamente como Solarpunk foi o livro brasileiro Solarpunk: Histórias ecológicas e fantásticas em um mundo sustentável lançado em 2012. Em 2014, o autor Adam Flynn escreve Solapunk: Notes Toward a Manifesto. Fonte: Tom Cassauwers no Ozy.com Playlist da aventura no Spotify https://open.spotify.com/playlist/6Zu97kEcyRdVMET9FtStyp?si=ec490aa6f5df4d7f Clima A aventura investiga um crime, porém não há uma sensação veemente de urgência ou de perigo que os dois personagens vão correr. A eles vai ser cobrado chegar ao fundo e revelar o máximo o possível acerca do mistério. Personagens e momentos que os jogadores vão presenciar podem muito bem serem vistos como brega ou galhofa, uma vez que grande parte do clima da estação tem como referência a estética e preocupações dos anos 90 ou início dos anos 2000. A Estação A Século Centauri é uma estação que flutua sobre a Terra onde os Filósofos da Universidade da Terra deveriam monitorar a saúde do planeta e garantir a recuperação do planeta após cinco milênios de exploração desenfreada. Neste futuro não há mais distinções entre ciência e filosofia, assim sendo que cientistas e professores da universidade são tidos como “Filósofos Praticantes” das mais diversas áreas. A Estação foi ativada há 400 anos. Para a Universidade operar ela ainda precisa sequestrar habitantes das "Cidades Antigas" da Terra para ter funcionários e alunos. Porém os professores sob a mentoria do Reitor estão mais preocupados com sua busca de tornar a Século Centauri totalmente sustentável, o que tem tomado o tempo que deveria ser dedicado a monitorar o Planeta. O Computador Watson que mantém a estação está frequentemente sob riscos de Vírus e outras inteligências artificiais que estão escondidas no planeta. Há um medo que estas tentem assumir controle da estação. Toda vez que um vírus é descoberto nos terminais é necessário fazer uma desfragmentação de disco (o que pode durar até uma década) no qual os Professores são congelados e preservados para acordarem quando a desfragmentação terminar. Os Personagens dos Jogadores Os personagens interpretados pelos jogadores vão acordar de um descongelamento. Eles descobrem que foram congelados a 200 anos atrás como sentença por terem confabulado com uma Inteligência Artificial da Terra Antiga. Ao levantarem descobrem que há duas semanas um vírus infectou terminais da estação e que ela estava armada para uma nova fragmentação. Os Alunos foram devolvidos para as Cidades Antigas e alguns dos professores já estavam congelados quando algo aconteceu com o Reitor. Sabe-se apenas que o reitor foi morto há algumas horas e que provavelmente ele foi assassinado. Agora você pode ter em casa a caneca do Klank, o velho guerreiro anão em sua casa. Confira a coleção completa dos personagens da Mina Perdida de Phandelver e corra para garantir a sua com valor promocional por tempo limitado: https://www.mundofan.com.br/caneca-klank. Antes de assinar como um JOGADOR envie um e-mail para email@example.com e consulte sobre as vagas. Elas têm número limitado. ATENÇÃO: Esse podcast é recomendado para maiores de 14 anos. Com a participação de: Victor Carvalho;
Artificial intelligence is totally transforming the world in which we live, learn, and work. But how exactly does artificial intelligence work? How should industrial employers be leveraging AI? And what can education do to prepare their students for an AI-driven workforce?Matt Kirchner breaks it all down in this episode. Listen for actionable insights into:Understanding artificial intelligence: Breaking down key AI terminology so you can approach the subject with more confidence.11 predictions for how AI will disrupt industry: From materials, to processes, to supply chain, these predictions can get you strategizing for how to get ahead of the curve.Artificial intelligence in education: How we can bring AI into the classroom in an age-appropriate, accessible way that prepares students to step into a world of work where AI is the norm.
Today we bring you the second half of Harry's conversation with Dave deBronkart, better known as E-Patient Dave for all the work he's done to help empower patients to be more involved in their own healthcare. If you missed Part 1 of our interview with Dave, we recommend that you check that out before listening to this one. In that part, we talked about how Dave's own brush with cancer in 2007 turned him from a regular patient into a kind of super-patient, doing the kind of research to find the medication that ultimately saved his life. And we heard from Dave how the healthcare system in the late 2000s was completely unprepared to help consumers like him who want to access and understand their own data.Today in Part 2, we'll talk about how all of that is gradually changing, and why new technologies and standards have the potential to open up a new era of participatory medicine – if, that is, patients are willing to do a little more work to understand their health data, if innovators can get better access to that data, and if doctors are willing to create a partnership with the patients over the process of diagnosis and treatment.Please rate and review The Harry Glorikian Show on Apple Podcasts! Here's how to do that from an iPhone, iPad, or iPod touch:1. Open the Podcasts app on your iPhone, iPad, or Mac. 2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings & Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars. 6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner. 8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out. 9. After selecting a nickname, tap OK. Your review may not be immediately visible.That's it! Thanks so much.Full TranscriptHarry Glorikian: Hello. I'm Harry Glorikian.Welcome to The Harry Glorikian Show, the interview podcast that explores how technology is changing everything we know about healthcare.Artificial intelligence.Big data.Predictive analytics.In fields like these, breakthroughs are happening much faster than most people realize. If you want to be proactive about your own healthcare and the healthcare of your loved ones, you'll need to some of these new tips and techniques of how medicine is changing and how you can take advantage of all the new options.Explaining this approaching world is the mission of the new book I have coming out soon, The Future You. And it's also our theme here on the show, where we'll bring you conversations with the innovators, caregivers, and patient advocates who are transforming the healthcare system and working to push it in positive directions.In the previous episode we met Dave deBronkart, better known as E-Patient Dave for all the work he's done to help empower patients to be more involved in their own healthcare. If you missed it, I'm gonna recommend that you listen to the first discussion, and then come back here.We talked about how Dave's own brush with cancer in 2007 turned him from a regular patient into a kind of super-patient, doing the kind of research to find the medication that ultimately saved his life. And we heard from Dave how the healthcare system in the late 2000s was completely unprepared to help consumers like him who want to access and understand their own data.Today in Part 2, we'll talk about how all of that is gradually changing, and why new technologies and standards have the potential to open up a new era of participatory medicine – if, that is, patients are willing to do a little more work to understand their health data, if innovators can get better access to that data, and if doctors are willing to create a partnership with the patients over the process of diagnosis and treatment.We'll pick up the conversation at a spot where we were talking about that control and the different forms it's taken over the years.Harry Glorikian: You've observed like that there's some that there's this kind of inversion going on right now where for centuries doctors had sole control over patient data and sole claims to knowledge and authority about how patients should be treated. But now patients may have more detailed, more relevant and more up to date data than your doctors does. Right. You've talked about this as a Kuhnian paradigm shift, if I remember correctly, where patients are the anomalies, helping to tear down an old paradigm, you know. Walk us through the history here. What was the old paradigm and what's the new paradigm and what are you some of your favorite examples of this paradigm shift?Dave deBronkart: Well, so I want to be clear here. I have the deepest admiration for doctors, for physicians and for licensed practitioners at all levels for the training that they went through. I don't blame any of this on any of them. I did a fair amount of study about what paradigms are Thomas Kuhn's epic book The Structure of Scientific Revolutions, like discovering that the Earth isn't the center of the solar system and things like that. The paradigm is an agreement in a scientific field about how things work. And it is the platform, the theoretical model on which all research and further study is done. And these anomalies arise when scientists operating in the field keep finding outcomes that disagree with what the paradigm says. So in the case of the planets circling the earth and the how the solar system works. They discovered that Mars and other planets all of a sudden would stop orbiting and when they would do a little loop de loop. I mean, that's what they observed. And they came up with more and more tortured explanations until finally, finally, somebody said, hey, guess what? We're all orbiting the sun. Now, the paradigm inn health care has been that the physician has important knowledge. Lord knows that's true. The physician has important knowledge and the patient doesn't and can't. Therefore, patient should do as they're told, so called compliance, and should not interfere with the doctors doing their work. Well, now along comes things like all of those things that I mentioned that the patient community told me at the beginning of my cancer. None of that is in the scientific literature. Even here, 15 years later, none of it's in the literature. What's going on here? Here's that first clunk in the paradigm. Right. And we have numerous cases of patients who assisted with the diagnosis. Patients who invented their own treatment. And the shift, the improvement in the paradigm that we have to, where just any scientific thinker -- and if you want to be a doctor and you don't want to be a scientific thinker, then please go away -- any scientific thinker has to accept is that it's now real and legitimate that the patient can be an active person in healthcare.Dave deBronkart: Yeah, I mean, you've said you don't have to be a scientist or a doctor anymore to create a better way to manage a condition. So, I mean, it's interesting, right? Because I always think that my doctor and I are partners in this together.Dave deBronkart: Good participatory medicine. Perfect.Harry Glorikian: You know, he has knowledge in certain places I definitely don't. But there are things where him and I, you know, do talk about things that were like, you know, we need to look into that further. Now, I'm lucky I've got a curious doctor. I found somebody that I can partner with and that I can think about my own health care in a sort of different way. But I mean, sometimes he doesn't have all the answers and we have to go search out something. You know, I was asking him some questions about HRV the other day that, you know, he's like, huh, let me let me ask a few cardiologists, you know, to get some input on this. So do you see that, I mean, I see that as the most desired outcome, where a patient can have their record. They're not expected to go and become a physician at that level of depth, but that the physicians who also have the record can work in a participatory way with the patient and get to a better outcome.Dave deBronkart: Exactly. And the other thing that's happened is and I've only recently in the last year come to realize we are at the end of a century that is unique in the history of humanity until science got to a certain point in the late 1800s, most doctors, as caring as they were, had no knowledge of what was going wrong in the body with different diseases. And then and that began a period of many decades where doctors really did know important things that patients had no access to. But that era has ended. All right, we now have more information coming out every day than anyone can be expected to keep up with. And we now are at a point also where we've seen stories for decades of patients who were kept alive. But at what cost? Right. Well, and we now we are now entering the point where the definition of best care cannot be made without involving the patient and their priorities. So this is the new world we're evolving into, like and Dr. Sands wears a button in clinic that says what matters to you?Harry Glorikian: So I mean, one of the other, based on where you're going with this, I think is you know, there are some movements that have been arising over the years. I don't know, maybe you could talk about one of them, which is OpenAPS. It's an unregulated, open source project to build an artificial pancreas to help people with type 1 diabetes. And I think it was Erich von Hippel's work on patient driven innovation. I talk in my book about, and I ask whether we should be training people to be better patients in the era of, say, A.I. and other technologies. What do you think could be done better to equip the average patient with to demand access to patient data, ask their doctors more important questions, get answers in plain English. You know, be more collaborative. What do you think is going to move us in that direction faster or more efficiently, let's say?Dave deBronkart: Well, I want to be careful about the word better, because I'm very clear that my preferences are not everyone's preferences. Really, you know, autonomy means every person gets to define their own priorities. And another thing is one of the big pushbacks from the hospital industry over the last 10 years as medical records, computers were shoved down their throats along with the mandate that they have to let patients see their data in the patient portal was a complaint that most patients aren't interested. Well, indeed, you know, I've got sorry news for you. You know, when I worked in the graphic arts industry, I worked in marketing, people don't change behavior or start doing something new until they've got a problem. If it's fun or sexy, you know, then they'll change, they'll start doing something new. What we need to do is make it available to people. And then when needs arise, that gets somebody's attention and they're like, holy crap, what's happening to my kid? Right. If they know that they can be involved, then they can start to take action. They can learn how to take action. It's having the infrastructure available, having the app ecosystem start to grow, and then just having plain old awareness. Who knows? Maybe someday there will be a big Hollywood movie where people where people learn about stories like that and. You know, from that I mean that I think nature will take its course.Harry Glorikian: Well, it's interesting because I recently interviewed a gentleman by the name of Matthew Might. He's a computer scientist who became a surrogate patient advocate for his son, Bertrand, who had a rare and undiagnosed genetic disorder that left him without an enzyme that breaks down junk protein in the cells. But he, you know, jumped in there. He did his own research found in over-the-counter drug, Prevacid of all drugs., that could help with Bertrand's deficiency. But, I mean, Dave, you know, Matt is a, he was a high-powered computer scientist who wasn't afraid to jump in and bathe in that, you know. Is that the type of person we need? Is that a cautionary tale, or an inspiring tale? How do you think about that?Dave deBronkart: Desperate people will bring whatever they have to the situation. And this is no different from, you know, there have been very ordinary people who had saved lives at a car crash because they got training about how to on how to stop bleeding as a Boy Scout. You know, it is a mental trap to say, "But you're different." Ok. Some people said, "Well, Dave, you're an MIT graduate, my patients aren't like you." And people say, well, yeah, but Matt Might is a brilliant PhD type guy. What you mentioned few minutes before gives the lie to all of that, the OpenAPS community. All right, now, these are people you need to know appreciate the open apps world. You need to realize that a person with type 1 diabetes can die in their sleep any particular night. You know, they can even have an alarm, even if they have a digital device connected with an alarm, their blood sugar can crash so bad that they can't even hear the alarm. And so and they got tired of waiting the industry. Year after year after year, another five years will have an artificial pancreas, another five years, and a hashtag started: #WeAreNotWaiting. Now, I am I don't know any of the individuals involved, but I'll bet that every single diabetes related executive involved in this thought something along the lines of, "What are they going to do, invent their own artificial pancreas?" Well, ha, ha, ha, folks. Because as I as I imagine, you know, the first thing that happened was this great woman, Dana Lewis, had a digital insulin pump and a CGM, continuous glucose meter, and her boyfriend, who's now her husband, watched her doing the calculation she had to do before eating a hamburger or whatever and said, "I bet I could write a program that would do that."Dave deBronkart: And so they did. And one thing led to another. His program, and she had some great slides about this, over the course of a year, got really good at predicting what her blood sugar was going to be an hour later. Right. And then they said, "Hmm, well, that's interesting. So why don't I put that in a little pocket computer, a little $35 pocket computer?" The point is, they eventually got to where they said, let's try connecting these devices. All right. And to make a long story short, they now have a system, as you said, not a product, they talked to the FDA, but it's not regulated because it's not a product. Right. But they're not saying the hell with the FDA. They're keeping them informed. What are the scientific credentials of Dana Lewis and her boyfriend, Scott? Dana is a PR professional, zero medical computer or scientific skills? Zero. The whole thing was her idea. Various other people got involved and contributed to the code. It is a trap to think that because the pioneering people had special traits, it's all bogus. Those people are lacking the vision to see what the future you is going to be. See, and the beautiful thing from a disruptive standpoint is that when the person who has the problem gains access to power to create tools, they can take it in whatever direction they want. That's one of the things that happened when typesetting was killed by desktop publishing.Harry Glorikian: Right.Dave deBronkart: In typesetting, they said "You people don't know what you're doing!" And the people said, whatever, dude, they invented Comic Sans, and they went off and did whatever they wanted and the world became more customer centered for them.Harry Glorikian: So. You know, this show is generally about, you know, data, Machine learning and trying to see where that's going to move the needle. I mean, do you see the artificial intelligence umbrella and everything that's under that playing a role to help patients do their own research and design their own treatments?Dave deBronkart: Maybe someday, maybe someday. But I've read enough -- I'm no expert on AI, but I've read enough to know that it's a field that is full of perils of just bad training data sets and also full of immense amounts of risk of the data being misused or misinterpreted. If you haven't yet encountered Cathy O'Neil, she's the author of this phenomenal book, Weapons of Math Destruction. And she said it's not just sloppy brain work. There is sloppy brain work in the mishandling of data in A.I., but there is malicious or ignorant, dangerously ignorant business conduct. For instance, when companies look at somebody who has a bad credit rating and therefore don't give them a chance to do this or this or this or this, and so and they actually cause harm, which is the opposite of what you would think intelligence would be used for.Harry Glorikian: So but then, on the opposite side, because I talk about some of these different applications and tools in in the book where, you know, something like Cardiogram is able to utilize analytics to identify, like it alerted me and said "You know, you might have sleep apnea." Right. And it can also detect an arrhythmia, just like the Apple Watch does, or what's the other one? Oh, it can also sort of alert you to potentially being prediabetic. Right. And so you are seeing, I am seeing discrete use cases where you're seeing a movement forward in the field based on the analytics that can be done on that set of data. So I think I don't want to paint the whole industry as bad, but I think it's in an evolutionary state.Dave deBronkart: Absolutely. Yes. We are at the dawn of this era, there's no question. We don't yet have much. We're just going to have to discover what pans out. Really, I. Were you referring to the Cardia, the Acor, the iPhone EKG device a moment ago?Harry Glorikian: No, there's there's actually an, I've got one here, which is the you know...Dave deBronkart: That's it. That's the mobile version. Exactly. Yeah. Now, I have a friend, a physician friend at Beth Israel Deaconess, who was I just rigidly absolutely firmly trust this guy's brain intelligence and not being pigheaded, he was at first very skeptical that anything attached to an iPhone could be clinically useful. But he's an E.R. doc and he now himself will use that in the E.R. Put the patient's fingers on those electrodes and and send it upstairs because the information, when they're admitting somebody in a crisis, the information gets up there quicker than if he puts it in the EMR.Harry Glorikian: Well, you know, I always try to tell people like these devices, you know, they always say it's not good enough, it's not good enough. And I'm like, it's not good enough today. But it's getting better tomorrow and the next day. And then they're going to improve the sensor. And, yep, you know, the speed of these changes is happening. It's not a 10 year shift. It's it's happening in days, weeks, months, maybe years. But, you know, this is a medical device on my arm as far as I'm concerned.Harry Glorikian: It's a device that does medical-related things. It certainly doesn't meet the FDA's definition of a medical device that requires certification and so on. Now, for all I know, maybe two thirds of the FDA's criteria are bogus. And we know that companies and lobbyists have gamed the system. It's an important book that I read maybe five years ago when it was new, was An American Sickness about the horrifying impacts of the money aspect of health care. And she talked about, when she was talking specifically about device certification, she talked about how some company superbly, and I don't know if they laughed over their three martini lunch or what, some company superbly got something approved by the FDA as saying, we don't need to test this because it's the same as something else.Harry Glorikian: Ok, equivalence.Dave deBronkart: And also got a patent on the same thing for being completely new. Right. Which is not possible. And yet they managed to win the argument in both cases. So but the this is not a medical device, but it is, gives me useful information. Maybe we should call it a health device.Harry Glorikian: Right. Yeah, I mean, there are certain applications that are, you know, cleared by the FDA right now, but, you know, I believe what it's done is it's allowing these companies to gather data and understand where how good the systems are and then apply for specific clearances based on when the system gets good enough, if that makes sense.Dave deBronkart: Yes. Now, one thing I do want to say, there's an important thing going on in the business world, those platforms. You know, companies like Airbnb, Uber, whatever, where they are, a big part of their business, the way they create value is to understand you better by looking at your behavior and not throwing so much irrelevant crap at you. Now, we all know this as it shows up. As you know, you buy something on Amazon and you immediately get flooded by ads on Facebook for the thing that you already bought, for heaven's sake. I mean, how stupid is that? But anyway, I think it's toxic and should be prohibited by law for people to collect health data from your apps and then monetize it. I think that should be completely unacceptable. My current day job is for this company called Pocket Health, where they collect a patient's radiology images for the patient so the patient can have 24/7 access in the cloud. And when I joined there, a friend said, oh, I gather they must make their money by selling the data. Right? And I asked one of the two founding brothers, and he was appalled. That's just not what they do. They have another part of the company. And anybody who gets any medical device, any device to track their health should make certain that the company agrees not to sell it.[musical interlude]Harry Glorikian: Let's pause the conversation for a minute to talk about one small but important thing you can do, to help keep the podcast going. And that's to make it easier for other listeners discover the show by leaving a rating and a review on Apple Podcasts.All you have to do is open the Apple Podcasts app on your smartphone, search for The Harry Glorikian Show, and scroll down to the Ratings & Reviews section. Tap the stars to rate the show, and then tap the link that says Write a Review to leave your comments. It'll only take a minute, but you'll be doing us a huge favor.And one more thing. If you like the interviews we do here on the show I know you'll like my new book, The Future You: How Artificial Intelligence Can Help You Get Healthier, Stress Less, and Live Longer.It's a friendly and accessible tour of all the ways today's information technologies are helping us diagnose diseases faster, treat them more precisely, and create personalized diet and exercise programs to prevent them in the first place.The book is now available for pre-order. Just go to Amazon and search for The Future You, Harry Glorikian.Thanks. And now back to our show.[musical interlude]Harry Glorikian: You mentioned FHIR or, you know, if I had to spell it out for people, it's Fast Healthcare Interoperability Resource standard from, I think, it's the Health Level 7 organization. What is FHIR? Where did it come from and what does it really enable?Dave deBronkart: So I'll give you my impression, which I think is pretty good, but it may not be the textbook definition. So FHIR is a software standard, very analogous to HTTP and HTML for moving data around the same way those things move data around on the Web. And this is immensely, profoundly different from the clunky, even if possible, old way of moving data between, say, an Epic system, a Cerner system, a Meditech system nd so on. And the it's a standard that was designed and started five or six years ago by an Australian guy named Graham Grieve. A wonderful man. And as he developed it, he offered it to HL7, which is a very big international standards organization, as long as they would make it free forever to everyone. And the important thing about it is that, as required now by the final rule that we were discussing, every medical record system installed at a hospital that wants to get government money for doing health care for Medicare or Medicaid, has to have what's called a FHIR endpoint. And a FHIR endpoint is basically just a plug on it where you can, or an Internet address, the same way you can go to Adobe.com and get whatever Adobe sends you, you can go to the FHIR endpoint with your login credentials and say, give me this patient's health data. That's it. It works. It already works. That's what I use in that My Patient Link app that I mentioned earlier.Harry Glorikian: So just to make it clear to someone that say that's listening, what does the average health care consumer need to know about it, if anything, other than it's accessible? And what's the part that makes you most excited about it?Harry Glorikian: Well, well, well. What people need to know about it is it's a new way. Just like when your hospital got a website, it's a new way for apps to get your data out of the hospital. So when you want it, you know that it has to be available that way. Ironically, my hospital doesn't have a FHIR endpoint yet. Beth Israel Deaconess. But they're required to by the end of the year. What makes me excited about it is that... So really, the universal principle for everything we've discussed is that knowledge is power. More precisely, knowledge enables power. You can give me a ton of knowledge and I might not know what to do with it, but without the knowledge, I'm disempowered. There's no dispute about that. So it will become possible now for software developers to create useful tools for you and your family that would not have been possible 15 years ago or five years ago without FHIR. In fact, it's ironic because one of the earliest speeches I gave in Washington, I said to innovators, data is fuel. Right. We talked about Quicken and Mint. Quicken would have no value to anybody if they couldn't get at your bank information. Right. And that's that would have prevented. So we're going to see new tools get developed that will be possible because of FHIR and the fact that the federal regulations require it.Harry Glorikian: Yeah, my first one of my first bosses actually, like the most brilliant boss, I remember him telling me one at one time, he goes, "Remember something: Knowledge is power." I must have been 19 when he told me that. And I was, you know, it took me a little while to get up to speed on what he meant by that. But so do you believe FHIR is a better foundation for accessing health records than previous attempts like Google Health or Microsoft Health Vault?Dave deBronkart: Well, those are apples and oranges. FHIR is a way of moving the data around. Several years into my "Give me my damn data" campaign, I did a blog post that was titled I Want a Health Data Spigot. I want to be able to connect the garden hose to one place and get all my data flowing. Well, that's what FHIR is now. What's at the other end of the hose? You know, different buckets, drinking glasses, whatever. That's more analogous to Google Health and Health Vault. Google Health and Health Vault might have grown into something useful if they could get all the important information out there, which it turns out was not feasible back then anyway. But that's what's going to happen.Harry Glorikian: What is the evolution you'd like to see in the relationship between the patient and the U.S. health care systems? You know, you once said the key to be would get the money managers out of the room. You know, if you had to sort of think about what you'd want it to evolve to, what would it be?Dave deBronkart: Well, so. There are at least two different issues involved in this. First of all, in terms of the practice of medicine, the paradigm of patient that I mentioned, collaboration, you know, collaboration, including training doctors and nurses on the feasibility and methods of collaboration. How do you do this differently? That won't happen fast because the you know, the I mean, the curriculum in medical schools doesn't change fast. But we do have mid career education and we have people learning practical things. So there's a whole separate issue of the financial structure of the U.S. health system, which is the only one I know in the world that is composed of thousands of individual financially separate organizations, each of which has managers who are required by law to protect their own finances. And the missing ingredient is that as all these organizations manage their own finances, nobody anywhere is accountable for whether care is achieved. Nobody can be fired or fined or put out of business for failing to get the patient taken care of as somebody should have. And so those are those are two separate problems. My ideal world is, remember a third of the US health care spending is excess and somebody a couple of years ago...Guess what? A third of the US health care spending is the insurance companies. Now, maybe the insurance companies are all of the waste. I don't know. I'm not that well-informed. But my point is there is plenty of money there already being spent that would support doctors and nurses spending more time with you and me beyond the 12 or 15 minutes that they get paid for.Harry Glorikian: So it's interesting, right? I mean, the thing that I've sort of my bully pulpit for, for a long time has been, once you digitize everything, it doesn't mean you have to do everything the same way. Which opens up, care may not have to be given in the same place. The business model may now be completely open to shift, as we've seen with the digitization of just about every other business. And so I you know, I worry that the EMRs are holding back innovation and we're seeing a lot of innovation happen outside of the existing rubric, right, the existing ivory towers, when you're seeing drug development using A.I. and machine learning, where we're seeing imaging or pathology scans. I mean, all of those are happening by companies that are accessing this digitized data and then providing it in a different format. But it's not necessarily happening inside those big buildings that are almost held captive by the EMR. Because if you can't access the data, it's really hard to take it to that next level of analytics that you'd like to take it to.Dave deBronkart: Yes, absolutely.Harry Glorikian: I mean, just throwing that out there, I know we've been talking about the system in particular, but I feel that there's the edges of the system aren't as rigid as they used to be. And I think we have a whole ecosystem that's being created outside of it.Harry Glorikian: Absolutely. And the when information can flow you get an increasing number of parties who can potentially do something useful with it, create value with it. And I'm not just talking about financial value, but achieve a cure or something like that. You know, interestingly, when the industry noticed what the open apps people were doing, all of a sudden you could no longer buy a CGM that had the ability to export the data.Harry Glorikian: Right.Dave deBronkart: Hmm. So somebody is not so happy about that. When an increasing number of people can get out data and combine it with their other ideas and skills and try things, then the net number of new innovations will come along. Dana Lewis has a really important slide that she uses in some presentations, and it ties in exactly with Erich von Hippel's user driven innovation, which of course, shows up in health care as patient driven innovation. The traditional industrial model that von Hippel talks about is if you're going to make a car, if you're going to be a company going into the car business, you start by designing the chassis and doing the wheels and designing the engine and so on and so on. And you do all that investment and you eventually get to where you've got a car. All right. Meanwhile, Dana shows a kid on a skateboard who can get somewhere on the skateboard and then somebody comes up with the idea of putting a handle on it. And now you've scooter. Right. And so on. The user driven innovations at every moment are producing value for the person who has the need.Harry Glorikian: Right. And that's why I believe that, you know, now that we've gotten to sort of that next level of of datafication of health care, that these centers have gotten cheaper, easier, more accessible. You know, like I said, I've got a CGM on my arm. Data becomes much more accessible. FHIR has made it easier to gain access to my health record. And I can share it with an app that might make that data more interpretable to me. This is what I believe is really sort of moving the needle in health care, are people like Matthew Might doing his own work where it's it's changing that. And that's truly what I try to cover in the book, is how these data [that] are now being made accessible to patients gives them the opportunity to manage their own health in a better way or more accurately and get ahead of the warning light going on before the car breaks down. But one of the things I will say is, you know, I love my doctor, but, you know, having my doctor as a partner in this is makes it even even better than rather than just me trying to do anything on my own. Dave deBronkart: Of course, of course. Dr. Sands is fond of saying "I have the medical training or diagnosis and treatment and everything, but Dave's the one who's the expert on what's happening in his life." Right. And and I'm the expert on my own priorities.Harry Glorikian: Right. Which I can't expect. I mean, my doctor has enough people to worry about, let alone like, me being his sole, the only thing he needs to think about. So, Dave, this was great. It was great having you on the show. I hope this is one of many conversations that we can have going forward, because I'm sure there's going to be different topics that we could cover. So I appreciate you taking the time and being on the show.Dave deBronkart: Well, and same to you. The this has been a very stimulating I mean, and the you've got the vision of the arriving future that is informed by where we're coming from, but not constrained by the old way of thinking. And that really matters. The reality, the emerging reality, whether anybody knows it or not, is that people with a big problem are able to act now in ways that they weren't before. I mean, another amazing example is a guy in England named Tal Golesworthy has Marfan syndrome. And one problem that people with Marfan syndrome face is aortic dissection. The walls of the aorta split open and it can be pretty quickly fatal. And he describes himself in his TED talk as a boiler engineer. And he says when we have a weak pipe, we wrap it. So he came up with the idea of exporting his CAT scan data or the MRI data of his beating heart and custom printing a fabric mesh to wrap around his aorta. And it's become and medically accepted treatment now. Harry Glorikian: That's awesome, right.Dave deBronkart: This is the data in the hands of somebody with no medical training, just. But see, that's the point. That's the point. He enabled by the data, is able to create real value, and it's now an accepted treatment that's called PEARS and it's been done hundreds of times. And, you know, here's a beautiful, it's sort of like the Dana Lewis skateboard scooter progression, years later, a subsequent scan discovered something unexpected. The mesh fabric has migrated into the wall of his aorta. So he hadn't he now has a know what doctor, what hospital, what medical device company would have ever dreamed of trying to create that? That's the beauty of liberation when data gets into the hands of the innovators.Harry Glorikian: Well, that's something that everybody can take away from today is at least thinking about their data, how it can help them manage their health better or their life better. Obviously, I always say, in cahoots with your doctor, because they have very specific knowledge, but having the data and managing yourself is better than not having the data and not understanding how to manage yourself. So on that note, Dave, thank you so much for the time today. It was great.Dave deBronkart: Thank you very much. See you next time.Harry Glorikian:That's it for this week's episode. You can find past episodes of The Harry Glorikian Show and MoneyBall Medicine at my website, glorikian.com, under the tab Podcasts.Don't forget to go to Apple Podcasts to leave a rating and review for the show.You can find me on Twitter at hglorikian. And we always love it when listeners post about the show there, or on other social media. Thanks for listening, stay healthy, and be sure to tune in two weeks from now for our next interview.
The power and scope of distributed cloud can't be understated. It allows our technology – essentially everything connected to the internet or housing our data – to run more reliably and efficiently. But as its power continues to grow, how do we balance its scope with our real needs and our efforts at conservation and morality? Two experts, engineer Malini Bhandaru and author Joe Weinman, dive into the history of cloud computing, its current role in the ever-expanding Internet of Things, and its increasingly complicated future. Key Takeaways: [1:22] What is distributed cloud and why does it matter? Malini helped write the origin story of today's cloud computer servers and saw the benefit of sharing resources long before working with server solutions was cool. [3:36] We like to have things as a service. Joe weighs in on the power of making computer power as ubiquitous as possible. [5:25] Speed is a critical component of compute power, and it has a significant impact on businesses trying to compete for customer loyalty. [6:02] Compute power in the cloud increased its reliability in the face of natural disasters, allowing the data to go to another server. This resilience will be critical for companies as they prepare for future disruptions in the face of climate change. [6:57] On the reverse side, data and compute processing also has a great impact on climate change as some operations glut energy resources relative to their size. Joe examines the examples of blockchain technologies and bitcoin mining. [7:55] Machine learning is greedy for data, especially in deep neural networks. Malini's advice is to identify the value of the work relative to the cost involved. [8:16] Cloud providers are making an extremely conscious effort to be net-zero. Joe advises caution regarding maximizing the efficiency and utilization of the public cloud and shares global examples of using renewable energy. [9:54] We can be smarter about our smart devices — do we really need to communicate with our washing machines and refrigerators? [10:37] What exactly is the Fog? Also referred to as edge computing, Joe describes it as compute storage and network security resources on virtually every street corner, something that will become more and more essential as we reach close to a trillion devices around the world. [13:08] The internet of things makes fast access to servers necessary — the devices that keep us moving and connected only work because of the cloud. [15:40] As connected clouds are collecting data, processing it and communicating with one another, a fertile space for AI learning is developing. From farm fields saliva samples, collected data makes information innovative, mobile, and dynamic. [18:50] With distributed cloud and edge technology, we have the power to change the world. But are we ready for the responsibility that comes with it? [20:16] Malini weighs in on the positive changes that have come with edge computing. Maybe this is the answer to fossil fuels, climate change, and a faster more resilient connection for everyone. Quotes: [1:32] “Machine learning was something I'm interested in because it's amazing to see how we learn and do things.” - Malini [8:10] “We have to think about the value of that work we're doing to the cost that's involved.” - Malini [13:22] “We have all these devices and they're all connected and they only work thanks to the cloud.” - Joe [16:31] “Assuming that data is what feeds this beast, the data has to come from somewhere.” - Joe [18:20] “The world really will experience accelerated innovation through many of these technologies.” - Joe [20:08] “Artificial intelligence has a great opportunity to do amazing things… but there may be challenges.” - Joe [21:46] “Some women have changed the path for us and it's our job to change the path for others.” - Malini Continue on your journey: pega.com/podcast Mentioned: Jo Richardson Malini Bhandaru Joe Weinman James Dodkins
Today's broadcast is about your gut. Yes, your intestinal system is key to your immune system and right in the middle of that is bacteria, yes, you heard right, bacteria. https://scientifichealer.com/immune Free course on boosting your immune system. Bacteria exist everywhere on your skin inside and out. We are part of a symbiotic system with bacteria to help provide you with what you need to stay alive. It is key to your immune system, it keeps the pathogens at bay, it produces vitamins, and neurotransmitters. Dr. Anastasia Chopelas is the scientific healer and author of The Diamond Healing Method, written about an integrated healing approach based on molecular and vibrational physics. Today, Dr. Anastasia discusses all about gut health and how to keep it in optimal condition. Standout Quotes: "Boosting your immune system with lifestyle choices like eating various healthy nutrients while avoiding the unhealthy habits support your energy healing. Even though I use energy healing daily, practicing healthy habits has helped me become healthier now it's 68 than I was in my early 40s." “There is two to three times the number of bacteria as there are cells in your body. You have microbiomes on your skin, your gut, your private parts, your mouth anywhere on and in you." "The beneficial bacteria in your gut weigh between two and four Five pounds. The estimate is that there are about 150 trillion bacteria. We have about 50 trillion cells. That's a huge, huge number. And it's almost impossible to imagine." "If you maintain the ratio of at least 85% good bacteria in the gut, you will not generally suffer from Dysbiosis. "If a healthy microbiome was transplanted into a sick and even overweight person and help that person get well and, and then lean down, this kind of research was ongoing to help people's immune system, and it worked." "Avoid Glyphosate bound in roundup type herbicides, especially these are known to kill off your gut bacteria. When they tested them on humans, it didn't affect your human life; it affected your bacterial life badly. That means that most corn, oats, wheat, and soy will contain my newts, quantities of this material." Key Takeaways: We are a symbiotic organism. Bacteria are present on every surface of your skin, both inside and out. With microorganisms assisting in providing you with the nutrients you require to survive. It is critical for the immunological system. It protects against diseases and synthesizes vitamins and neurotransmitters. Dysbiosis or microbiome imbalance occurs when harmful microorganisms take over. Your gut bacteria are critical to the health of your immune system. In your gut, you should have at least 85 percent good bacteria to 15 percent pathogenic bacteria. What kind of bacteria are beneficial? You've probably heard of these, mainly if you read the label on the outside of your yogurt carton. They contain a variety of lactobacillus strains as well as bifidobacterium. They multiply when you look after them, yourself. On the other hand, bacteria such as E. coli, listeria, Helicobacter pylori, which causes ulcers, salmonella, and staphylococcus, can all have a devastating effect on you. Specifically, there are four types of pathogens: bacteria, fungi (such as those that cause athlete's foot or Candida), viruses, and parasites. Around 1000 particular species of bacteria have been discovered. Scientists believe that this represents between one and ten percent of the germs that could exist. It's only that around 80% of them fall inside that popular range, while the remaining 20% fall outside of it. When you eat something that contains bacteria or other pathogens, your stomach is the first line of defense. · Some benefits of a healthy intestinal system include: It aids in the digestion of nutrients like fiber, which usually is not broken down. It modulates the immunological system. It produces beneficial neurotransmitters like serotonin, melatonin, and dopamine. It was once used to control appetite and weight. A healthy microbiome starts in the mouth, and you'll need safe toothpaste and mouthwash. Use only xylitol and stevia as sweeteners as they do not affect the gut flora adversely. Get plenty of whole organic produce, especially leafy greens, which are high in fiber. Bitter foods seem to feed the beneficial bacteria and boost the immune system. Consume prebiotic foods like artichokes, bananas, asparagus, and apples, as well as prebiotic powder, to help populate your stomach with good bacteria. Most people lack the enzymes required to digest dairy effectively, and dairy acidifies the body, neutralizing the impact of calcium in milk. So you can get probiotics in different ways. It is available in pill, jar, and refrigerator form at many health food stores. You can eat foods like sauerkraut, kambochia, but watch out for foods ad drinks that are too sweet. Sugar feeds pathogenic germs, as do high glycemic foods like white bread, flour, and potatoes. The latest hybrid grain strains have been demonstrated to damage the gut lining and have had their DNA irradiated to assist them in producing what they want, resulting in damaged DNA and ill health. Artificial sweeteners such as saccharin, sucralose, and aspartame can rapidly eliminate intestinal microorganisms, similar to antibiotics. Erythritol with Monk fruit, xylitol and stevia appear to have little effect on the beneficial bacteria in the gut. However, some persons will feel an increase in gas when using xylitol and erythritol. These are called sugar alcohols; they are not metabolized in the same way as sugar and do not provide food for pathogenic bacteria. Antibiotics kill all biotic organisms inside you. That includes meats treated with it. So, conventionally reared beef thrives on grass as its primary food source. They feed them grain to ensure accurate cuts. While corn is often grown with care, it causes gastrointestinal dysbiosis in the impoverished cow. Then they get sick. So they get antibiotics to stay healthy. Sanitizers and skin creams containing chemicals contain bacteria-killing agents. People use this, which affects their gut microbiome; they continue to use it on their hands because they do not always have access to a faucet. Getting sufficient sleep when your body repairs itself is one of the essential support activities for a healthy microbiome. At least two quarts or two liters of clean water should be consumed each day. Because it helps activate your lymph system, exercise for at least 20 days and 20 minutes per day. Aside from walking, a brief 10 to 15-minute healing audio will assist you in de-stress quickly. Please take a deep breath in and hold it for a few seconds before releasing it twice or three times. Episode Timeline: [00:01] Boosting the immune system [00:22] The Gut [01:16] Bacteria inside us [02:07] The Essential Ratio of Good and Bad Bacteria [03:02] The Good Bacteria [03:28] Different Pathogens [04:03] Pathogen: Virus [05:43] Dysbiosis [06:05] Tips on maintaining a healthy amount of good bacteria [08:00] Probiotics [08:05] The Dangers of High Sugar Consumption [10:14] Glyphosate [11:46] The horrors behind artificial sweeteners [13:07] Antibiotics [14:07] Sanitizers and Hand Creams [15:15] Lifestyle Adjustment to Aid Gut Health Learn more about Dr. Anastasia Chopelas Website: https://scientifichealer.com/ Facebook: https://www.facebook.com/DrAnastasiaChopelas/ If this content was helpful, please give a thumbs-up rating and subscribe to my channel. Share this with someone that could use the help To help boost your immune system, get this free course on your immunity (value $197) found at https://scientifichealer.com/immune When you are ready to speak with me, schedule an appointment with me at http://scientifichealer.com/appointment or contact me at http://scientifichealer.com/contact
Hotep Jesus is an entrepreneur, tech investor, marketing savant, and internet personality.He's the host of Hoteps BEEN Told You and author of several books, including "Dominate Twitter", "Unbreakable Rules of Masculinity", and his most recent work, "The Patriot Report: Unmasking the Conspiracy of Money & War".He joined us to discuss The Patriot Report, which details the history of the American financial system and the nature of the people who created it. In order to truly understand what's happening around you today, you must first understand the history of our modern institutions, why they were created in the first place, and who created them.Hotep is a disciplined student of the human mind. He's a brilliant advertiser and marketer, and he uses his understanding of human psychology to provide insightful analysis on our current world and where you're going.You'll want to listen all the way to the end where he really cuts loose and speaks frankly in a way you'll rarely hear anywhere these days.******- Follow Hotep Jesus on Twitter: https://twitter.com/hotepjesus- Watch Hoteps BEEN Told you: https://www.youtube.com/user/KingAliShakur- Download the Coinbits App: https://coinbits.app- Get your copy of "The Patriot Report" on Amazon: https://www.amazon.com/Patriot-Report-Conspiracy-Money-War/dp/B098W7MGBF- Check out all things Hotep Jesus: https://bryansharpe.co*******If you're ready to take control of your life, income, and future, go to http://controlthesource.com and join the Nomad Network to get started. Brand new app in app stores now!Give your business an unfair advantage in less than 3 minutes a day. Get the daily newsletter that delivers the most actionable and tactical growth strategies available today, straight from the mind of a marketing genius: http://dailyalchemy.me.Learn the blueprint for generating predictable and sustainable income from anywhere on earth: http://www.nomadicwealthoffer.com.Jason on Twitter: https://twitter.com/jason_stapletonJason on IG: https://www.instagram.com/thejasonstapletonJason's website: https://jasonstapleton.comMatt on Twitter: https://twitter.com/realkingpilledDon't forget to like and subscribe, and please share the show!
Greg Cross is co-founder and chief business officer of Soul Machines, a leader in the creation of virtual humans (aka digital people). We discuss the origin story that goes back to 2012 as a research organization set up at the University of Aukland through the founding of Soul Machines in 2016, how 2020 accelerated the business, and what is happening today. In addition, we delve into the world of digital employees, the integration of voice AI solutions, touch on the metaverse, and review specific use cases by industry. Greg is the former chairman of SLI Systems, CEO and co-founder of PowerbyProxi, a World Economic Forum Technology Pioneer, and former managing director of Microsoft New Zealand.
This week Kayleigh is back, and she, along with Carter, chat college and life, as well as dive into good news both about RV's and kidneys! (The rhyme was unintentional yet entirely welcomed) There's also a followup to a prior episode as Kayleigh talks about Too Good To Go, what was once just a news story now allowing her roommate to get great pizza for a good price. All that and more today, on PositiviTEA! Information on all the ways to find us is below: PositiviTEA Instagram: https://www.instagram.com/positivitea.podcast/ PositiviTEA Facebook Group: https://www.facebook.com/groups/313626449686521/?ref=share PositiviTEA TikTok: https://www.tiktok.com/@positiviteapodcast?lang=en PositiviTEA Youtube Channel: https://www.youtube.com/channel/UCXtlS7sxCgpYY1p6K-ZWgZg/featured PositiviTEA Email: Positiviteapodcast2020@gmail.com *We are happy to provide a transcription of this episode upon request! Also, disclaimer: social media is a strange place full of uncharted waters, and it's important to be aware of the content you consume and the stories you read. Good news is pretty much in the clear, which is one reason why we love it, but still be aware as you scroll through Instagram and Facebook. That's all from me, so go check us out on Instagram and Facebook! We're positive places, I promise. Thank you for listening and remember, you'll never walk alone. --- Send in a voice message: https://anchor.fm/positivi-tea/message
Artificial intelligence is changing the way we live — and very soon it'll go beyond medical breakthroughs and the algorithms that control your social newsfeeds. Will AI become the biggest technological disrupter since the Industrial Revolution, replacing many workers with robots? On this week's GZERO World podcast, Ian Bremmer discusses the future of AI with scientist Kai-fu Lee, who's just come out with a book about what our AI-driven world may look like 20 years from now.
Recorded by Robert Miles: http://robertskmiles.com More information about the newsletter here: https://rohinshah.com/alignment-newsletter/ YouTube Channel: https://www.youtube.com/channel/UCfGGFXwKpr-TJ5HfxEFaFCg HIGHLIGHTS The "most important century" series (Holden Karnofsky) (summarized by Rohin): In some sense, it is really weird for us to claim that there is a non-trivial chance that in the near future, we might build transformative AI and either (1) go extinct or (2) exceed a growth rate of (say) 100% per year. It feels like an extraordinary claim, and thus should require extraordinary evidence. One way of cashing this out: if the claim were true, this century would be the most important century, with the most opportunity for individuals to have an impact. Given the sheer number of centuries there are, this is an extraordinary claim; it should really have extraordinary evidence. This series argues that while the claim does seem extraordinary, all views seem extraordinary -- there isn't some default baseline view that is “ordinary” to which we should be assigning most of our probability. Specifically, consider three possibilities for the long-run future: 1. Radical: We will have a productivity explosion by 2100, which will enable us to become technologically mature. Think of a civilization that sends spacecraft throughout the galaxy, builds permanent settlements on other planets, harvests large fractions of the energy output from stars, etc. 2. Conservative: We get to a technologically mature civilization, but it takes hundreds or thousands of years. Let's say even 100,000 years to be ultra conservative. 3. Skeptical: We never become technologically mature, for some reason. Perhaps we run into fundamental technological limits, or we choose not to expand into the galaxy, or we're in a simulation, etc. It's pretty clear why the radical view is extraordinary. What about the other two? The conservative view implies that we are currently in the most important 100,000-year period. Given that life is billions of years old, and would presumably continue for billions of years to come once we reach a stable galaxy-wide civilization, that would make this the most important 100,000 year period out of tens of thousands of such periods. Thus the conservative view is also extraordinary, for the same reason that the radical view is extraordinary (albeit it is perhaps only half as extraordinary as the radical view). The skeptical view by itself does not seem obviously extraordinary. However, while you could assign 70% probability to the skeptical view, it seems unreasonable to assign 99% probability to such a view -- that suggests some very strong or confident claims about what prevents us from colonizing the galaxy, that we probably shouldn't have given our current knowledge. So, we need to have a non-trivial chunk of probability on the other views, which still opens us up to critique of having extraordinary claims. Okay, so we've established that we should at least be willing to say something as extreme as “there's a non-trivial chance we're in the most important 100,000-year period”. Can we tighten the argument, to talk about the most important century? In fact, we can, by looking at the economic growth rate. You are probably aware that the US economy grows around 2-3% per year (after adjusting for inflation), so a business-as-usual, non-crazy, default view might be to expect this to continue. You are probably also aware that exponential growth can grow very quickly. At the lower end of 2% per year, the economy would double every ~35 years. If this continued for 8200 years, we'd need to be sustaining multiple economies as big as today's entire world economy per atom in the universe. While this is not a priori impossible, it seems quite unlikely to happen. This suggests that we're in one of fewer than 82 centuries that will have growth rates at 2% or larger, making it far less “extraordinary” to claim that we're in the most important one, especially if you believe that growth rates are well correlated with change and ability to have impact. The actual radical view that the author places non-trivial probability on is one we've seen before in this newsletter: it is one in which there is automation of science and technology through advanced AI or whole brain emulations or other possibilities. This allows technology to substitute for human labor in the economy, which produces a positive feedback loop as the output of the economy is ploughed back into the economy creating superexponential growth and a “productivity explosion”, where the growth rate increases far beyond 2%. The series has summarizes and connects together many (AN #105), past (AN #154), Open (AN #121), Phil (AN #118) analyses (AN #145), which I won't be summarizing here (since we've summarized these analyses previously). While this is a more specific and “extraordinary” claim than even the claim that we live in the most important century, it seems like it should not be seen as so extraordinary given the arguments above. This series also argues for a few other points important to longtermism, which I'll copy here: 1. The long-run future is radically unfamiliar. Enough advances in technology could lead to a long-lasting, galaxy-wide civilization that could be a radical utopia, dystopia, or anything in between. 2. The long-run future could come much faster than we think, due to a possible AI-driven productivity explosion. (I briefly mentioned this above, but the full series devotes much more space and many more arguments to this point.) 3. We, the people living in this century, have the chance to have a huge impact on huge numbers of people to come - if we can make sense of the situation enough to find helpful actions. But right now, we aren't ready for this. Read more: 80,000 Hours podcast on the topic Rohin's opinion: I especially liked this series for the argument that 2% economic growth very likely cannot last much longer, providing quite a strong argument for the importance of this century, without relying at all on controversial facts about AI. At least personally I was previously uneasy about how “grand” or “extraordinary” AGI claims tend to be, and whether I should be far more skeptical of them as a result. I feel significantly more comfortable with these claims after seeing this argument. Note though that it does not defuse all such uneasiness -- you can still look at how early we appear to be (given the billions of years of civilization that could remain in the future), and conclude that the simulation hypothesis is true, or that there is a Great Filter in our future that will drive us extinct with near-certainty. In such situations there would be no extraordinary impact to be had today by working on AI risk. TECHNICAL AI ALIGNMENT PROBLEMS Why AI alignment could be hard with modern deep learning (Ajeya Cotra) (summarized by Rohin): This post provides an ELI5-style introduction to AI alignment as a major challenge for deep learning. It primarily frames alignment as a challenge in creating Saints (aligned AI systems), without getting Schemers (AI systems that are deceptively aligned (AN #58)) or Sycophants (AI systems that satisfy only the letter of the request, rather than its spirit, as in Another (outer) alignment failure story (AN #146)). Any short summary I write would ruin the ELI5 style, so I won't attempt it; I do recommend it strongly if you want an introduction to AI alignment. LEARNING HUMAN INTENT B-Pref: Benchmarking Preference-Based Reinforcement Learning (Kimin Lee et al) (summarized by Zach): Deep RL has become a powerful method to solve a variety of sequential decision tasks using a known reward function for training. However, in practice, rewards are hard to specify making it hard to scale Deep RL for many applications. Preference-based RL provides an alternative by allowing a teacher to indicate preferences between a pair of behaviors. Because the teacher can interactively give feedback to an agent preference-based RL has the potential to help address this limitation of Deep RL. Despite the advantages of preference-based RL it has proven difficult to design useful benchmarks for the problem. This paper introduces a benchmark (B-Pref) that is useful for preference-based RL in various locomotion and robotic manipulation tasks. One difficulty with designing a useful benchmark is that teachers may have a variety of irrationalities. For example, teachers might be myopic or make mistakes. The B-Pref benchmark addresses this by emphasizing measuring performance under a variety of teacher irrationalities. They do this by providing various performance metrics to introduce irrationality into otherwise deterministic reward criteria. While previous approaches to preference-based RL work well when the teacher responses are consistent, experiments show they are not robust to feedback noise or teacher mistakes. Experiments also show that how queries are selected has a major impact on performance. With these results, the authors identify these two problems as areas for future work. Zach's opinion: While the authors do a good job advocating for the problem of preference-based RL I'm less convinced their particular benchmark is a large step forward. In particular, it seems the main contribution is not a suite of tasks, but rather a collection of different ways to add irrationality to the teacher oracle. The main takeaway of this paper is that current algorithms don't seem to perform well when the teacher can make mistakes, but this is quite similar to having a misspecified reward function. Beyond that criticism, the experiments support the areas suggested for future work. ROBUSTNESS Redwood Research's current project (Buck Shlegeris) (summarized by Rohin): This post introduces Redwood Research's current alignment project: to ensure that a language model finetuned on fanfiction never describes someone getting injured, while maintaining the quality of the generations of that model. Their approach is to train a classifier that determines whether a given generation has a description of someone getting injured, and then to use that classifier as a reward function to train the policy to generate non-injurious completions. Their hope is to learn a general method for enforcing such constraints on models, such that they could then quickly train the model to, say, never mention anything about food. FORECASTING Distinguishing AI takeover scenarios (Sam Clarke et al) (summarized by Rohin): This post summarizes several AI takeover scenarios that have been proposed, and categorizes them according to three main variables. Speed refers to the question of whether there is a sudden jump in AI capabilities. Uni/multipolarity asks whether a single AI system takes over, or many. Alignment asks what goals the AI systems pursue, and if they are misaligned, further asks whether they are outer or inner misaligned. They also analyze other properties of the scenarios, such as how agentic, general and/or homogenous the AI systems are, and whether AI systems coordinate with each other or not. A followup post investigates social, economic, and technological characteristics of these scenarios. It also generates new scenarios by varying some of these factors. Since these posts are themselves summaries and comparisons of previously proposed scenarios that we've covered in this newsletter, I won't summarize them here, but I do recommend them for an overview of AI takeover scenarios. MISCELLANEOUS (ALIGNMENT) Beyond fire alarms: freeing the groupstruck (Katja Grace) (summarized by Rohin): It has been claimed that there's no fire alarm for AGI, that is, there will be no specific moment or event at which AGI risk becomes sufficiently obvious and agreed upon, so that freaking out about AGI becomes socially acceptable rather than embarrassing. People often implicitly argue for waiting for an (unspecified) future event that tells us AGI is near, after which everyone will know that it's okay to work on AGI alignment. This seems particularly bad if no such future event (i.e. fire alarm) exists. This post argues that this is not in fact the implicit strategy that people typically use to evaluate and respond to risks. In particular, it is too discrete. Instead, people perform “the normal dance of accumulating evidence and escalating discussion and brave people calling the problem early and eating the potential embarrassment”. As a result, the existence of a “fire alarm” is not particularly important. Note that the author does agree that there is some important bias at play here. The original fire alarm post is implicitly considering a fear shame hypothesis: people tend to be less cautious in public, because they expect to be negatively judged for looking scared. The author ends up concluding that there is something broader going on and proposes a few possibilities, many of which still suggest that people will tend to be less cautious around risks when they are observed. Some points made in the very detailed, 15,000-word article: 1. Literal fire alarms don't work by creating common knowledge, or by providing evidence of a fire. People frequently ignore fire alarms. In one experiment, participants continued to fill out questionnaires while a fire alarm rang, often assuming that someone will lead them outside if it is important. 2. They probably instead work by a variety of mechanisms, some of which are related to the fear shame hypothesis. Sometimes they provide objective evidence that is easier to use as a justification for caution than a personal guess. Sometimes they act as an excuse for cautious or fearful people to leave, without the implication that those people are afraid. Sometimes they act as a source of authority for a course of action (leaving the building). 3. Most of these mechanisms are amenable to partial or incremental effects, and in particular can happen with AGI risk. There are many people who have already boldly claimed that AGI risk is a problem. There exists person-independent evidence; for example, surveys of AI researchers suggest a 5% chance of extinction. 4. For other risks, there does not seem to have been a single discrete moment at which it became acceptable to worry about them (i.e. no “fire alarm”). This includes risks where there has been a lot of caution, such as climate change, the ozone hole, recombinant DNA, COVID, and nuclear weapons. 5. We could think about building fire alarms; many of the mechanisms above are social ones rather than empirical facts about the world. This could be one out of many strategies that we employ against the general bias towards incaution (the post suggests 16). Rohin's opinion: I enjoyed this article quite a lot; it is really thorough. I do see a lot of my own work as pushing on some of these more incremental methods for increasing caution, though I think of it more as a combination of generating more or better evidence, and communicating arguments in a manner more suited to a particular audience. Perhaps I will think of new strategies that aim to reduce fear shame instead. NEWS Seeking social science students / collaborators interested in AI existential risks (Vael Gates) (summarized by Rohin): This post presents a list of research questions around existential risk from AI that can be tackled by social scientists. The author is looking for collaborators to expand the list and tackle some of the questions on it, and is aiming to provide some mentorship for people getting involved.
On the Weekly Briefing podcast: Prosthetic vision, a common concept in science-fiction, has long been out of reach in reality – but perhaps for not much longer. Researchers are about to start experiments to see if they can restore vision to the blind using prosthetics based on advanced sensor technology. Our guest is Philip Troyk, head of the Pritzker Institute of Biomedical Science and Engineering at Illinois Tech and the CEO of semiconductor supplier Sigenics.
Good News: A new design for an artificial kidney has been trialled, powered by blood pressure! Link HERE. The Good Word: A brilliant thought from Helen Keller. Good To Know: A little bit of trivia about “writing with light”… Good News: A charitable group in London is campaigning to reimagine some great uses for the […]
Artificial intelligence is being used to recreate actors' voices to dub their performances in foreign languages, or make them sound older or younger. Reporter Ellen Gamerman joins host Zoe Thomas to discuss how the technology works and the controversy it is stirring. Learn more about your ad choices. Visit megaphone.fm/adchoices
Can AI revolutionize the healthcare field along with the rest of the world? With new systems and workload relief, the benefits may be staggering. Press play to learn: How AI can be integrated into standard healthcare Who benefits from the introduction of AI, and how Possibilities of revolutionizing early diagnosis Dr. Anthony Chang, Chair & Dr. Orest Boyko, Vice-Chair of the American Board of Artificial Intelligence in Medicine (ABAIM), share their current progress and hopes for the future of AI in medicine. Artificial intelligence has revolutionized almost every aspect of how we live. However, the healthcare industry can be slow to change, but the guests today hope to change that, possibly increasing the standard of healthcare worldwide. Whether decreasing the logistical workload for doctors or finding the a from tests undetectable by humans, the possibilities AI can bring into the field are immense. Additionally, AI may even be able to diagnose issues years in advance before humans would have been able to recognize the pattern, saving countless lives. Visit abaim.org for more information. Episode also available on Apple Podcasts: apple.co/30PvU9C
This solo episode (part one of two) is about humankind's most pivotal revolution in the coming decades and centuries, hands down. It is about meaning, future, consciousness, society and science. Its message is more important than anything I have ever conveyed. If that doesn't tell the listener much, which is understandable, I can say that this conclusion also goes for most other writers out there. Many feel an emptiness and a lack of purpose before the future. This sense of meaninglessness is basically derived from the dreamlike illusion of separation and death we have been living in for thousands of years. We have tried to mitigate our fear of death and our feeling of loneliness through the idea that more physical assets or larger social or cultural capital can enhance the quality of life. We have a feeling of ”… what now?” Artificial intelligence? Advanced biotechnology? Out in space? What is the purpose of all that we are doing? My answer, and the answer from ever more others, is that the next big leap in our evolution will have to be inward — possibly the most important leap so far. Read the episode as an essay on Medium here.
The Review Queens dig into a 1-Star Amazon Review for an Artificial Grass Urine Odor Destroyer Spray and a 1-Star Trustpilot Review for the dating website OKCupid. The Queens scrape the bottom with their Spatty Daddies, Trey tries to prove he is NOT a robot, and Chelsey acts with a doctor. This is not an Ad, Scouts Honor! https://reviewthatreview.us1.list-manage.com/subscribe/post?u=f8634011bef332e917e868253&id=a65c8f7884 (Click Here) to Join the Queendom Mailing List for your chance to win a Newsletter Exclusive Raffle! (03:22) Lodge a Complaint! (09:40) Artificial Grass Urine Spray Review (22:45) Exclusive Review Queen Offer: https://www.superchewer.com/queen (superchewer.com/queen) (24:41) Meryl-Go-Round (30:00) OKCupid Review (45:25) My Royal Highness (50:30) Royal Review! ***** Leave us a voicemail at 1-850-REVIEW-0 WATCH CLIPS onhttps://www.youtube.com/channel/UCfhCAcirZKQb9E2NxI5BiJg ( YouTube)! Visit our website for more:http://www.reviewthatreview.com/ ( www.ReviewThatReview.com) @TheReviewQueens | @ChelseyBD | @TreyGerrald --- Review That Review is an independent podcast. Executive Produced by Trey Gerrald and Chelsey Donn with editing and sound design by Trey Gerrald. Cover art designed by LogoVora, voiceover talents by Eva Kaminsky, and our theme song was written by Joe Kinosian and sung by Natalie Weiss. Support this podcast
The thymus gland is a small pinkish-gray organ located behind your breastbone. It plays critical role in the immune system, especially in stimulating the development of disease-fighting T cells. The thymus actually starts working before you're born and as you grow into puberty it becomes gradually replaced by fatty tissue. It becomes completely replaced as more move into your 70s. When the thymus is active, it helps your body protect itself against autoimmunity, which happens when the immune system fights against itself. Hence, the thymus plays a crucial role in the lymphatic system (your body's internal drainage system that helps remove toxins and waste from your body). From the fetus stage to the childhood stage, the thymus is mainly involved in the production and maturation of T-cells or T-lymphocytes- a white blood cell type responsible for protecting the body against certain threats, including infections and viruses. The thymus gland produces a hormone called thymosin, which is needed for the production and development of T cells. However, don't forget that the thymus is at its largest in children, and as you reach the puberty stage, it starts to slowly shrink. At the age of 75, your thymus is a little more than fatty tissue. But the good part is that by the time you reach puberty, the thymus gland has reached its maximum weight (about 1 ounce) and it has produced all of your T cells. Thymus gland: Production of Thymosin The thymus gland secretes thymosin which stimulates the development of T cells. White blood cells called lymphocytes actually pass through the thymus throughout your childhood years, and as they pass through this organ, they are transformed into T cells. After maturation in the thymus, the T cells migrate to the lymph nodes (collection of immune system cells located at different parts of the body), where they help the immune system in fighting pathogens and diseases. The mature T cells play roles in: Immunity The mature T cells support immunity in that they isolate foreign bodies or cells, lock them onto the cell and kill it. This is also called cell-mediated immunity as it involves the action of immune cells in fighting infections. Autoimmunity T cells generally have barricades at their cortex to prevent them from being sensitized to the body's own cells. However, cells that accidentally become sensitized to “self” are often cleared by the process of negative selection in the medulla. This helps to prevent the development of autoimmune disorders. If your thymus gland is removed early in life, you are at a high risk of developing autoimmune disorders. How to stimulate the thymus to work better You can support your thymus to keep pumping out T-cells with the following measures: Ramp up your antioxidant intake: Studies have shown that antioxidants like vitamin C help to protect the thymus from free radicals and age-related shrinkage. Stay away from artificial sweeteners: Artificial sweeteners like sucralose have been studied to cause shrinkage of the thymus glands. Get enough zinc: Zinc is the most important mineral needed by your thymus gland to stay healthy. Thymex: a fantastic product from Standard Process Some interesting research shows that thymus extract, like thymomodulin, helps to boost the immune system against respiratory infections such as asthma, bronchitis, sinusitis, and hay fever. These conditions are often triggered by an overactive immune system, so the process of calming the immune system reduces the severity of such attacks. The functioning of the thymus gland both as a lymphatic organ and an endocrine organ plays a crucial role in your long-term health and wellbeing. You can consult Dr. Jason Jones at our Chiropractic office at Elizabeth City to learn more about natural ways to stimulate your thymus to work better in boosting your immune system.
Music: Lemon by @wun__two Show notes: Aging and remaining active 1:46 / Squid Game + meeting a Porn Actor 3:37 / Candyman Review (spoiler) 6:15 / Who has a BET Login?, Netflix kinda steep 11:11 / The Male equivalent to the BBL, Dangerous standards of beauty + Plastic surgeons grooming kids on TikTok 13:25 / Would you read your browser history out-loud?, Creditors may begin to look at your digital imprint + Going Incognito 22:04 / Amazon unveils new robot that can see, hear and follow you + Artificial intelligence is inevitable 31:23 / Damn, Dollar Tree prices going up?! 35:54 / Global Supply Chain in danger of a system collapse 39:23 / Lantern Bug Environmental Warfare Theory, Murder Hornets 44:13 / $6.3 Billion allocated to Afghan refugees + Government shutdown 47:57
Artificial intelligence is often thought of as an efficient and objective tool for everyday tasks. But a lot of AI systems show signs of racism and discrimination, the impacts of which can be detrimental. Vox's Sigal Samuel (@SigalSamuel) explains why one particular AI system is showing anti-Muslim bias. References: Read Sigal's story on Vox.com here. Enjoyed this episode? Rate Recode Daily ⭐⭐⭐⭐⭐ and leave a review on Apple Podcasts. What do you want to learn about on Recode Daily? Send your requests and questions to firstname.lastname@example.org. We read every email! Subscribe for free. Be the first to hear the next episode of Recode Daily by subscribing in your favorite podcast app. Learn more about your ad choices. Visit megaphone.fm/adchoices This episode was made by: Host: Adam Clark Estes (@adamclarkestes) Producer: Alan Rodriguez Espinoza (@ardzes) Engineer: Paul Robert Mounsey Support Recode Daily by making a financial contribution to Vox! bit.ly/givepodcasts Learn more about your ad choices. Visit podcastchoices.com/adchoices
Esta madrugada repasamos los temas de la semana: Artificial, curro, el debate Cabeza-corazón y rueda; junto a los Gatopard@s que nos han acompañado: Ayanta Barilli, Marina San José, Blas Cantó y Petra Martínez.
Tarrasque na Bota apresenta: O Crime da Século, uma aventura do sistema de RPG Terra Devastada Adaptado. Episódio 03 – Duas caras. O Crime da Século é uma aventura curta de RPG para dois jogadores. O jogo se passa inteiramente em uma estação futurista em um cenário futurista Solarpunk. Os jogadores assumem o papel de dois professores (Filósofos Práticos) da Universidade que mantém e tem residência na estação. O que é Solarpunk? Solarpunk é um subgênero da ficção científica que surge para confrontar o pessimismo associado à ficção científica atual. A criação do gênero vem de ilustrações que buscavam mesclar a visão futurista dos anos 50 com ideais de preservação, ecologia e sustentabilidade. A primeira obra literária a se identificar explicitamente como Solarpunk foi o livro brasileiro Solarpunk: Histórias ecológicas e fantásticas em um mundo sustentável lançado em 2012. Em 2014, o autor Adam Flynn escreve Solapunk: Notes Toward a Manifesto. Fonte: Tom Cassauwers no Ozy.com Playlist da aventura no Spotify https://open.spotify.com/playlist/6Zu97kEcyRdVMET9FtStyp?si=ec490aa6f5df4d7f Clima A aventura investiga um crime, porém não há uma sensação veemente de urgência ou de perigo que os dois personagens vão correr. A eles vai ser cobrado chegar ao fundo e revelar o máximo o possível acerca do mistério. Personagens e momentos que os jogadores vão presenciar podem muito bem serem vistos como brega ou galhofa, uma vez que grande parte do clima da estação tem como referência a estética e preocupações dos anos 90 ou início dos anos 2000. A Estação A Século Centauri é uma estação que flutua sobre a Terra onde os Filósofos da Universidade da Terra deveriam monitorar a saúde do planeta e garantir a recuperação do planeta após cinco milênios de exploração desenfreada. Neste futuro não há mais distinções entre ciência e filosofia, assim sendo que cientistas e professores da universidade são tidos como “Filósofos Praticantes” das mais diversas áreas. A Estação foi ativada há 400 anos. Para a Universidade operar ela ainda precisa sequestrar habitantes das "Cidades Antigas" da Terra para ter funcionários e alunos. Porém os professores sob a mentoria do Reitor estão mais preocupados com sua busca de tornar a Século Centauri totalmente sustentável, o que tem tomado o tempo que deveria ser dedicado a monitorar o Planeta. O Computador Watson que mantém a estação está frequentemente sob riscos de Vírus e outras inteligências artificiais que estão escondidas no planeta. Há um medo que estas tentem assumir controle da estação. Toda vez que um vírus é descoberto nos terminais é necessário fazer uma desfragmentação de disco (o que pode durar até uma década) no qual os Professores são congelados e preservados para acordarem quando a desfragmentação terminar. Os Personagens dos Jogadores Os personagens interpretados pelos jogadores vão acordar de um descongelamento. Eles descobrem que foram congelados a 200 anos atrás como sentença por terem confabulado com uma Inteligência Artificial da Terra Antiga. Ao levantarem descobrem que há duas semanas um vírus infectou terminais da estação e que ela estava armada para uma nova fragmentação. Os Alunos foram devolvidos para as Cidades Antigas e alguns dos professores já estavam congelados quando algo aconteceu com o Reitor. Sabe-se apenas que o reitor foi morto há algumas horas e que provavelmente ele foi assassinado. Agora você pode ter em casa a caneca do Klank, o velho guerreiro anão em sua casa. Confira a coleção completa dos personagens da Mina Perdida de Phandelver e corra para garantir a sua com valor promocional por tempo limitado: https://www.mundofan.com.br/caneca-klank. Antes de assinar como um JOGADOR envie um e-mail para email@example.com e consulte sobre as vagas. Elas têm número limitado. ATENÇÃO: Esse podcast é recomendado para maiores de 14 anos. Com a participação de: Victor Carvalho;
What's good, Pitmasters? Tonight Mac and Makk will be talking about the upcoming Super Bowl 56 Halftime show announcement (12:00), more "unintentional" racism (36:36), and how NBA 2K inspired a doctor to come up with a real life "Create a Player" operation (1:08:13)! Tap in with the Homies!
In this episode, our guest is Doug Schrier, senior vice president of strategy at Transflo. While we know that automated trucks are coming someday, many may not be aware of the behind-the-scenes automation available today to keep the trucking industry moving forward. Artificial intelligence and machine learning help companies automate many of the industry's non-driving tasks.Consumers are all too aware of the shortages and supply chain problems we have all experienced and many are feeling like things will never get back to normal. A new report shows how consumers are feeling about supply chain disruptions. Many shoppers are leaving brands that they feel are not doing a good job of being reliable on product deliveries.Returns are messy for everyone. With the increases in online shopping, returns are becoming even messier. Some companies are doing better than others at handling returns and even rewarding their best shoppers. Their customers are noticing.Articles and resources mentioned in this episode:TransfloReport shows consumers remain frustrated and angry over supply chain disruptionsRetailers offer special returns policies to their best customers, Navar study finds.Visit DCVelocity.com for the latest news. Visit Supply Chain QuarterlySend feedback about this podcast to firstname.lastname@example.org.Podcast sponsored by: Zebra TechnologiesOther linksAbout DC VELOCITYSubscribe to DC VELOCITYSign up for our FREE newslettersAdvertise with DC VELOCITYTop 10 Supply Chain Management Podcasts
In this episode of Sense-Making in a Changing World, I am joined by quite a different guest than you will usually find on this show to explore something that will have enormous implications for our life and work - Artificial Intelligence (AI) - and already does. Mo Gowdat is author of Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World released on 1 October 2021 and also international bestseller, 'Solve for Happy' in 2017.While I am right on the edge of my field of knowledge, experience and comfort here, this is Mo's world. He has worked as a big-tech executive for 30 years and was formerly the chief business officer of Google [X] - the 'moonshot lab' exploring things like driverless cars and AI and candidly shares his thoughts on the dangers and possibilities.Woven through our discussion is also the exploration of purpose. As an executive of one of the biggest companies of the world, he says the richer he got, the more unhappier he became - something he noticed of many people in his world. He started deeply researching how to find happiness and purpose. Then tragically in 2014, he lost his 21 year old son, Ali, in what should have been a routine operation, Mo completely changed his life and launched his personal moonshot project, 1 Billion Happy (#1BillionHappy) in honour of his son. Last year he also started a podcast, Slo Mo discussing the profound questions and obstacles we all face in the pursuit of purpose in our lives.Back on the topic of AI, Mo says the current direction that this technology is taking, is putting humanity at risk to an unprecedented degree and is something we need to pay serious attention to. We cannot simply ignore it and hope it will go away. Elon Musk is also on record saying that AI is a greater threat than nukes. Mo says that Artificial intelligence genie is already out of the bottle and already 'smarter' than humans. In his latest book, he explores what we can all do now to teach ourselves and our machines how to live better, and think deeply about what our future could be with AI.I wonder, after listening, what do you think?________________________________ EXPLORE THE WORLD OF PERMACULTURE WITH MORAG GAMBLE Explore the permaculture films, articles, masterclasses on Our Permaculture Life Youtube channel & blog.Find out more about the Permaculture Education Institute and becoming a certified permaculture designer and educator.If your passion is to get your hands in the earth and create a thriving food garden, take a look at this online course: The Incredible Edible Garden. ________________________________ Download this list of 10 of Morag's favourite books. Click here to watch Morag's free 4 part introduction to permaculture video series. ________________________________We acknowledge the Gubbi Gubbi people, the Traditional Custodians of the land on which we live, work & play, and pay our respects to their elders past, present and emerging. Audio: Rhiannon GambleMusic: Kim Kirkman
Why Tracking Your Blood Sugar Can Transform Your Health | This episode is brought to you by Kettle & Fire, Beekeeper's Naturals, and Athletic GreensWhat if you could get health advice that was completely tailored to your unique body? Forget the generalized blanket statements, like “Eat less, exercise more.” I'm talking about actual guidance based on massive amounts of data that can help you optimize your diet and lifestyle for real, maintainable results. This is the future of medicine, and it will be more precise than ever before. It might sound too futuristic or out of reach, but artificial intelligence (AI) and machine learning are getting us there, and we're already seeing amazing health implications for those that are utilizing these technologies. In this episode, I talk about the exciting breakthroughs in health-focused AI and what the future holds with Noosheen Hashemi. Noosheen Hashemi is a Silicon Valley tech veteran, entrepreneur, investor, and philanthropist. She is the founder and CEO of January AI, a precision health tech company that harnesses the power of artificial intelligence to prevent, predict, and manage chronic disease. January AI is Noosheen's answer to a healthcare industry that seemed to only address decline and disease, rather than prevention and progress; January AI partners with people to understand their body and optimize it for health and longevity. In 2021, January AI was honored by the World Economic Forum as a Technology Pioneer. Noosheen also guides a family office that includes diverse investments in over 100 companies and venture capital funds. She is the founder of the HAND Foundation, focused on supporting scholars and organizations that promote discourse and socioeconomic growth among the disenfranchised. She is a Harold Pratt Associate at the Council on Foreign Relations and serves on the advisory boards of Stanford Graduate School of Business, Stanford Institute for Economic Policy Research, and Tufts Friedman School of Nutrition Science and Policy.This episode is brought to you by Kettle & Fire, Beekeeper's Naturals, and Athletic Greens.Right now, you can get 25% off Kettle & Fire bone broth plus free shipping with code HYMAN. Just head over to kettleandfire.com/hyman. That's kettle and fire dot com slash Hyman. Right now, Beekeeper's Naturals is giving my community an exclusive offer. Just go to beekeepersnaturals.com/HYMAN and enter code “HYMAN” to get 20% off your first order.Athletic Greens is offering Doctor's Farmacy listeners a full year supply of their Vitamin D3/K2 Liquid Formula free with your first purchase, plus 5 free travel packs. Just go to athleticgreens.com/hyman to take advantage of this great offer.Here are more of the details from our interview: Noosheen's journey into using data and AI to drive change in the healthcare space (6:33)Using multiomics, or multivariate decision making, to understand health and disease (12:47)Food: the missing piece of data in precision health (15:44)Artificial intelligence vs. machine learning (17:37)Using machine learning to better understand glycemic load and assist people in keeping their blood sugar stable (19:48)Moving away from one-size-fits-all medicine (25:46)The future of healthcare, continuous health monitoring, personalized health, and precision nutrition (30:03)What can AI do for our health? (40:30)The future of wearable technology, including the need for insulin monitors (46:12)What we can learn from China about using AI to solve for population health issues (52:45)Learn more about January AI at https://january.ai/ and on Instagram @hellojanuaryai, on Facebook @januaryai, and on Twitter @hellojanuaryai. See acast.com/privacy for privacy and opt-out information.
McAlvany Weekly Commentary Digital Rocks? Remember the Pet Rock? Interest rates creeping up – Inflation Fears? FED Presidents Rosengren & Kaplan (Forced?) to Resign The post Artificial Bliss: FED Strong Arms The markets As Guaranteed Buyer appeared first on McAlvany Weekly Commentary.
Artificial intelligence is one of the forefronts of digital innovation today. What often isn't spoken of, however, is the frightening reality of what AI can become. Author and entrepreneur Mo Gawdat, former Chief Business Officer of Google [X], joins this week to discuss his new book Scary Smart. We discuss where AI is in its lifecycle, what is coming in just a few short years, digital super intelligence, good & bad actors in AI, and the important responsibility we have in shaping AI both in the corporate environment as well as individuals. Watch the video version of this episode.Links Mo on Twitter Mo on LinkedIn Mo's podcast Scary Smart Follow @kenyarmosh /in/kenyarmosh kenyarmosh.com
Cada faro es único en el mundo porque cada uno de ellos tiene un código de señalización luminosa que lo identifica. Siguiendo su estela, El Faro de la Ser es un programa único porque gira sobre un tema distinto cada noche enriquecido con las opiniones, historias, anécdotas o reflexiones que aportan los oyentes a través de todos los canales de interacción
Estima-se que em torno de 30% da população terá um diagnóstico de transtorno mental ao longo da vida. Além da enorme incidência, os transtornos mentais também podem ser bastante limitantes. Neste episódio conversamos com Letícia de Oliveira (Instituto Biomédico/UFF) sobre como a inteligência artificial pode auxiliar no diagnóstico desses transtornos e sobre a possibilidade de usar essas ferramentas para realizar o diagnóstico precocemente. Marco Idiart e Carolina Brito, ambos do IF-UFRGS, conversam com a convidada sobre sucessos, limites e questões éticas em torno do tema. Produção e edição: Carolina Brito Créditos da Imagem: https://www.needpix.com/photo/1636553/
Tarrasque na Bota apresenta: O Crime da Século, uma aventura do sistema de RPG Terra Devastada Adaptado. Episódio 02 – A próxima vítima. O Crime da Século é uma aventura curta de RPG para dois jogadores. O jogo se passa inteiramente em uma estação futurista em um cenário futurista Solarpunk. Os jogadores assumem o papel de dois professores (Filósofos Práticos) da Universidade que mantém e tem residência na estação. O que é Solarpunk? Solarpunk é um subgênero da ficção científica que surge para confrontar o pessimismo associado à ficção científica atual. A criação do gênero vem de ilustrações que buscavam mesclar a visão futurista dos anos 50 com ideais de preservação, ecologia e sustentabilidade. A primeira obra literária a se identificar explicitamente como Solarpunk foi o livro brasileiro Solarpunk: Histórias ecológicas e fantásticas em um mundo sustentável lançado em 2012. Em 2014, o autor Adam Flynn escreve Solapunk: Notes Toward a Manifesto. Fonte: Tom Cassauwers no Ozy.com Playlist da aventura no Spotify https://open.spotify.com/playlist/6Zu97kEcyRdVMET9FtStyp?si=ec490aa6f5df4d7f Clima A aventura investiga um crime, porém não há uma sensação veemente de urgência ou de perigo que os dois personagens vão correr. A eles vai ser cobrado chegar ao fundo e revelar o máximo o possível acerca do mistério. Personagens e momentos que os jogadores vão presenciar podem muito bem serem vistos como brega ou galhofa, uma vez que grande parte do clima da estação tem como referência a estética e preocupações dos anos 90 ou início dos anos 2000. A Estação A Século Centauri é uma estação que flutua sobre a Terra onde os Filósofos da Universidade da Terra deveriam monitorar a saúde do planeta e garantir a recuperação do planeta após cinco milênios de exploração desenfreada. Neste futuro não há mais distinções entre ciência e filosofia, assim sendo que cientistas e professores da universidade são tidos como “Filósofos Praticantes” das mais diversas áreas. A Estação foi ativada há 400 anos. Para a Universidade operar ela ainda precisa sequestrar habitantes das "Cidades Antigas" da Terra para ter funcionários e alunos. Porém os professores sob a mentoria do Reitor estão mais preocupados com sua busca de tornar a Século Centauri totalmente sustentável, o que tem tomado o tempo que deveria ser dedicado a monitorar o Planeta. O Computador Watson que mantém a estação está frequentemente sob riscos de Vírus e outras inteligências artificiais que estão escondidas no planeta. Há um medo que estas tentem assumir controle da estação. Toda vez que um vírus é descoberto nos terminais é necessário fazer uma desfragmentação de disco (o que pode durar até uma década) no qual os Professores são congelados e preservados para acordarem quando a desfragmentação terminar. Os Personagens dos Jogadores Os personagens interpretados pelos jogadores vão acordar de um descongelamento. Eles descobrem que foram congelados a 200 anos atrás como sentença por terem confabulado com uma Inteligência Artificial da Terra Antiga. Ao levantarem descobrem que há duas semanas um vírus infectou terminais da estação e que ela estava armada para uma nova fragmentação. Os Alunos foram devolvidos para as Cidades Antigas e alguns dos professores já estavam congelados quando algo aconteceu com o Reitor. Sabe-se apenas que o reitor foi morto há algumas horas e que provavelmente ele foi assassinado. Agora você pode ter em casa a caneca do Klank, o velho guerreiro anão em sua casa. Confira a coleção completa dos personagens da Mina Perdida de Phandelver e corra para garantir a sua com valor promocional por tempo limitado: https://www.mundofan.com.br/caneca-klank. Antes de assinar como um JOGADOR envie um e-mail para email@example.com e consulte sobre as vagas. Elas têm número limitado. ATENÇÃO: Esse podcast é recomendado para maiores de 14 anos. Com a participação de: Victor Carvalho;
You might have noticed over the last few episodes that I've been keen to discuss subjects slightly leftfield of nutrition and what I've traditionally talked about, but fascinating nonetheless. And I hope you as a listener, who's time and attention I value so greatly, will trust me as I take you on a bit of a ride. Because ultimately, I hope you agree that the topics I share are always very important.Mo Gawdat, who you may remember from episode #91 Solving Happiness is a person who I cherish and with whom I had a very impactful conversation with, on a personal level. He was the former Chief Business Officer of Google [X], which is Google's ‘moonshot factory', author of the international bestselling book ‘Solve for Happy' and founder of ‘One Billion Happy'. After a long career in tech, Mo made happiness his primary topic of research, diving deeply into literature and conversing on the topic with some of the wisest people in the world on “Slo Mo: A Podcast with Mo Gawdat”.Mo is an exquisite writer and speaker with deep expertise of technology as well as a passionate appreciation for the importance of human connection and happiness. He possesses a set of overlapping skills and a breadth of knowledge in the fields of both human psychology and tech which is a rarity. His latest piece of work, a book called “Scary Smart” is a timely prophecy and call to action that puts each of us at the center of designing the future of humanity. I know that sounds intense right? But it's very true.During his time at Google [X], he worked on the world's most futuristic technologies, including Artificial Intelligence. During the pod he recalls a story of when the penny dropped for him, just a few years ago, and felt compelled to leave his job. And now, having contributed to AI's development, he feels a sense of duty to inform the public on the implications of this controversial technology and how we navigate the scary and inevitable intrusion of AI as well as who really is in control. Us.Today we discuss:Pandemic of AI and why the handing COVID is a lesson to learn fromThe difference between collective intelligence, artificial intelligence and super intelligence or Artificial general intelligence How machines started creating and coding other machines The 3 inevitable outcomes - including the fact that AI is here and they will outsmart usMachines will become emotional sentient beings with a Superconsciousness To understand this episode you have to submit yourself to accepting that what we are creating is essentially another lifeform. Albeit non-biological, it will have human-like attributes in the way they learn as well as a moral value system which could immeasurably improve the human race as we know it. But our destiny lies in how we treat and nurture them as our own. Literally like infants with (as strange as it is to say it) love, compassion, connection and respect.Full show notes for this and all other episodes can be found on The Doctor's Kitchen.com website See acast.com/privacy for privacy and opt-out information.
Join Internationally Recognized Prophecy Expert, Minister, Speaker and Author, Paul McGuire as he analyzes current events through the lens of Bible Prophecy. Every Monday through Friday 4 - 6 PM Eastern Time. The Paul McGuire Report radio and television ministry is a ministry of faith and we are believing God each month to lay on the hearts of the listeners to support us if they are being blessed. We have asked, and are believing God, to touch the people of God, businesses and organizations to sow into this ministry that they also may be blessed! Your support enables us to stream Paul's messages from God's prophetic Word on Blog Talk Radio, PodBean, Brighteon.com, Odysee, Lbry.tv, YouTube, BitChute, SoundCloud, iTunes and various other podcast applications. With your help we are now broadcasting “The Paul McGuire Report” from our own TV and Production Studio on our Roku Channel as well as other channels as they become available. As we continue to trust in the Lord to build this ministry, HIS ministry, we believe He will lead us in the direction He would have us go. May the Lord bless you abundantly for responding to this call to action! Your gift makes it possible to continue our ministry work as together we share the Great Commission and point people to Jesus Christ. God works through your generous gifts to take the good news of Jesus Christ to millions of people worldwide! You can donate immediately by clicking HERE! Thank you for partnering with Paul McGuire Ministries sponsored by Paradise Mountain Church International! Your Brother in Christ Jesus, Paul McGuire WWW.PAULMcGUIRE.US Music by Joseph Charles © 2021 ALL RIGHTS RESERVED
We got an overwhelming amount of requests to do the Over rated/Under rated series again so today Cody and Travis dive back into a list of topics to rate as over or under-rated. We got way more than we could finish so we will have more to follow. Enjoy! ---- Join The Tailored Trainer (TCM's Membership Site) to gain full access to daily programming and a private coaching forum for guidance. Get a 7 Day FREE Trial HERE ASK CODY YOUR QUESTION HERE Check Out Free Guides and E-Books HERE Head over to http://buylegion.com/boomboom enter code boom boom at checkout to save 20%, start earning loyalty points, and supplementing with the top supplement company on the market. For training equipment, visit www.giantlifting.com and use promo code: TCM5 to save 5% on purchases. ---- Timestamps: 2:35 - Incline Walks 4:45 - Massages 9:30 - HIIT Cardio 10:45 - Working from home 13:45 - Artificial sweeteners 15:05 - Glutamine 19:23 - Protein Bars 20:50 - Using running as your cardio 23:05 - Most overrated and underrated fruits 28:30 - Working out outdoors 31:00 - Oura Ring 33:20 - MEV and MRV 37:50 - High protein processed food 38:55 - Vegas 40:50 - Clean eating 44:30 - Deadlifts 46:23 - Bodybuilding 48:20 - Social Media 51:00 - BCAA's ---- Apply for our World Renowned Coaching Program, RIGHT HERE. Remember to join our private FB community, RIGHT HERE. As Featured on: Huffington Post, Bodybuilding.com, The PTDC, Dr. John Rusin, Muscle For Life, HLHL, iN3, OPEX Fitness and More… ---- Apply For Coaching: bit.ly/Coaching-App Get Your Free Copy of The Nutrition Hierarchy, HERE Learn How We Coach: Read This Case Study Article Top 4 Episodes: - Nutritional Periodization - Nutrition FAQ - Training FAQ - My Story ---- You can get access to ALL of our content in one place, now: www.tailoredcoachingmethod.com/links/ Check out all of our e-books by visiting www.tailoredcoachingmethod.com/products/ Tailored Coaching Method Coaching Info: www.tailoredcoachingmethod.com/online-coaching/ ---- Social Links: Blog – http://www.tailoredcoachingmethod.com/blog Facebook - https://www.facebook.com/tailoredcoachingmethod Instagram - https://www.instagram.com/tailoredcoachingmethod/ YouTube - https://www.youtube.com/TailoredCoachingMethod Podcast Youtube - https://www.youtube.com/channel/UCX9qbTBGTioX8tZLCmE6TIQ Email – firstname.lastname@example.org