Podcast appearances and mentions of danny hernandez

How do you navigate a career path when the future of work is uncertain? How important is mentorship versus immediate impact? Is it better to focus on your strengths or on the world's most pressing problems? Should you specialise deeply or develop a unique combination of skills?From embracing failure to finding unlikely allies, we bring you 16 diverse perspectives from past guests who've found unconventional paths to impact and helped others do the same.Links to learn more and full transcript.Chapters:Cold open (00:00:00)Luisa's intro (00:01:04)Holden Karnofsky on just kicking ass at whatever (00:02:53)Jeff Sebo on what improv comedy can teach us about doing good in the world (00:12:23)Dean Spears on being open to randomness and serendipity (00:19:26)Michael Webb on how to think about career planning given the rapid developments in AI (00:21:17)Michelle Hutchinson on finding what motivates you and reaching out to people for help (00:41:10)Benjamin Todd on figuring out if a career path is a good fit for you (00:46:03)Chris Olah on the value of unusual combinations of skills (00:50:23)Holden Karnofsky on deciding which weird ideas are worth betting on (00:58:03)Karen Levy on travelling to learn about yourself (01:03:10)Leah Garcés on finding common ground with unlikely allies (01:06:53)Spencer Greenberg on recognising toxic people who could derail your career and life (01:13:34)Holden Karnofsky on the many jobs that can help with AI (01:23:13)Danny Hernandez on using world events to trigger you to work on something else (01:30:46)Sarah Eustis-Guthrie on exploring and pivoting in careers (01:33:07)Benjamin Todd on making tough career decisions (01:38:36)Hannah Ritchie on being selective when following others' advice (01:44:22)Alex Lawsen on getting good mentorship (01:47:25)Chris Olah on cold emailing that actually works (01:54:49)Pardis Sabeti on prioritising physical health to do your best work (01:58:34)Chris Olah on developing good taste and technique as a researcher (02:04:39)Benjamin Todd on why it's so important to apply to loads of jobs (02:09:52)Varsha Venugopal on embracing uncomfortable situations and celebrating failures (02:14:25)Luisa's outro (02:17:43)Audio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongContent editing: Katy Moore and Milo McGuireTranscriptions and web: Katy Moore

In the twenty-first episode of Season 11: The Son of Cult Flicks, Kyle is joined by stunt actor Danny Hernandez and filmmaker Daniel Lopez to discuss the prescient dissection of media violence, personality politicians, and the co-mingling of religion and corporation that makes up the Roger Corman produced and Paul Bartel directed exploitation satire Death Race 2000 (1975).

In the thirteenth episode of Season 11: The Son of Cult Flicks, Kyle is joined by screenwriter Katy Baldwin and stunt actor Danny Hernandez to discuss one of the first entries in the category of camp film, John Huston's oddball and accidental inversion of the classic noir in the humorously existential and meandering hardboiled mystery that is the Truman Capote penned adaptation of James Helvick's novel Beat the Devil (1953).

Send us a textIt isn't just Realty ONE Group; it's Realty ONE Group International, and rightfully so. A few years ago, we decided to expand this UNtraditional lifestyle real estate brand beyond the U.S., and what a great decision that was. Today, we're in over 20 countries, with many more on the way! We'll let Danny Hernandez, Vice President of International, tell you the rest.

This podcast episode focuses on the work of Danny Hernandez, a research scientist at OpenAI, who is primarily focused on measuring progress in artificial intelligence. He examines three major drivers of AI progress: compute, algorithmic innovation, and data, and the podcast explores the relationship between these drivers. Hernandez also discusses the challenges of forecasting in AI, particularly in the context of highly impactful and unlikely events. He emphasizes the importance of calibration training for improving forecasting skills and argues for a greater focus on understanding the economic impact of AI to better understand its progress. The conversation also touches upon the importance of AI safety, with Hernandez highlighting the work of various safety teams at OpenAI, such as the Foresight team, which focuses on understanding macro trends in AI, and the Reflection team, which concentrates on ensuring AI systems are aligned with human values.

Welcome back to the Green Grind Podcast! Join Kory and LeRoy for an inspiring conversation with Danny Hernandez, the determined owner of All The Grass Lawn Care based in Connecticut. Danny's story is one of resilience and triumph. After a devastating injury that cost him his CDL and his job as a bus driver, Danny was faced with a life-altering challenge. But rather than letting this setback define him, he discovered a new passion in the green industry and built a thriving lawn care business from the ground up. In this episode, Danny opens up about his journey—from the struggles of starting over to the satisfaction of turning his dreams into reality. He shares how he found his footing in the lawn care industry, the obstacles he overcame, and his plans for the future as he continues to grow his business. Danny's story is a powerful reminder that even in the face of adversity, success is within reach for those who are willing to work for it. Whether you're in the green industry or just looking for a story that will motivate you to chase your own dreams, this episode of The Green Grind is packed with valuable insights and inspiration. Powered by Jobber and Protiv!  Free Trial and 20% off Jobber for 6 months: go.getjobber.com/ballardinc Need a website? Use the code GreenGrind to get your first month for $1. Green Frog Web Design guarantees to have your website live in 3 weeks from the projected start date or its FREE for a year. https://www.greenfrogwebdesign.com/koryballard

In the thirty-fourth episode of Season 10: Dealer's Choice, Kyle is joined for a one-on-on conversation with stunt actor and horror aficionado Danny Hernandez to discuss the melancholic undercurrents of grief and the unknowable truths of a person, especially after they're gone from this mortal coil, in the haunting faux-documentary from Joel Anderson, Lake Mungo (2008). 

In the fort-fifth episode of Season 9 (Keep It Musical!) Kyle is joined by stunt actor Danny Hernandez and actor Dan Bauer to discuss the folk musical poem of unrequited love, intimate collaboration, and the beauty of encouragement in the down-to-earth, low-budget indie musical sensation from John Carney, Once (2007).

It's not where you start...it's where your heading. Nothing could be more true for Danny Hernandez. Waking up one day and realizing that the BBQ you have been selling (with much success) isn't as good as you thought it was casued Danny to change his direction...totally! Once a proud, multi unit BBQ operator, Danny now runs the premiere grilling shop in Tampa Florida that also doubles as a Texas style BBQ joint and fresh meat market. He also has founded the BBQ Love Fest taking place in Tampa November 18th and you need to be there! BBQ Love Fest Info The Brisket Shoppe Grill and Provisions

In the twenty-eighth episode of Season 9 (Keep it Musical!) Kyle is joined by stunt actor Danny Hernandez and journalist Kerry Harwin to discuss the onslaught of clashing genre and explosive technical self-assuredness that defined the Star Wars of Bollywood in the grand musical action melodrama of Ramesh Sippy's cultural watershed masterpiece Sholay (1975).

Episode 417. "Castlevania: Nocturne" Composer: Trey Toy. Trey Toy is a Los Angeles-based composer, producer, guitarist and electronic musician. He is known primarily for his work in film, television and video games and has contributed music to a wide range of projects, from Emmy Award-winning shows such as Ozark (Netflix) and Vikings (History Channel) to Blizzard Entertainment's hit game, Diablo IV. A storyteller first and foremost, Trey has a subtle but bold narrative sense and has been recognized by filmmakers and collaborators for his unique ability to elevate on-screen drama. Distinguished by an elegant blend of organic sounds, acoustic instruments, modern electronics and blockbuster production quality, Trey's music is informed by a myriad of influences, from orchestral music to experimental jazz, Gregorian chant to industrial rock. Recent credits include the Apple TV+ hit series Foundation, AMC's flagship Fear the Walking Dead, Netflix Original Series Pieces of Her, Tokyo Vice for HBO MAX and Marvel's Agents of S.H.I.E.L.D. for ABC. Trey wrote additional music and produced the scores for the Netflix originals Castlevania, based on the beloved game series, and Another Life, the final season of which he co-composed with Trevor Morris. Trey also provided additional orchestrations for the Golden Globe-nominated film, A Private War. Trey co-scored the IFC Midnight feature thriller Centigrade with Matthew Wang and worked with Trevor Morris on the original score for The Delicacy, a feature-length documentary by Jason Wise, creator of the SOMM Series. He also teamed up with Danny Bensi and Saunder Juriaans on Catching Lightning for Showtime, the CNN Original Series, LBJ: Triumph and Tragedy and 69: The Saga of Danny Hernandez, for Hulu. He also recently scored the Peacock original Who Killed Robert Wone alongside Tyler Strickland. Beyond the world of visual media, Trey composed the original scores for the feature-length audio drama Ghostwriter, starring Kate Mara and Adam Scott and the fantasy-adventure podcast series Intra Quest, for iHeart Radio. Welcome, Trey Toy.www.mmcpodcast.com

Podcast: Clearer Thinking with Spencer Greenberg Episode: How quickly is AI advancing? And should you be working in the field? (with Danny Hernandez)Release date: 2023-08-23Read the full transcript here. Along what axes and at what rates is the AI industry growing? What algorithmic developments have yielded the greatest efficiency boosts? When, if ever, will we hit the upper limits of the amount of computing power, data, money, etc., we can throw at AI development? Why do some people seemingly become fixated on particular tasks that particular AI models can't perform and draw the conclusion that AIs are still pretty dumb and won't be taking our jobs any time soon? What kinds of tasks are more or less easily automatable? Should more people work on AI? What does it mean to "take ownership" of our friendships? What sorts of thinking patterns employed by AI engineers can be beneficial in other areas of life? How can we make better decisions, especially about large things like careers and relationships?Danny Hernandez was an early AI researcher at OpenAI and Anthropic. He's best known for measuring macro progress in AI. For example, he helped show that the compute of the largest training runs was growing at 10x per year between 2012 and 2017. He also helped show an algorithmic equivalent of Moore's Law that was faster, and he's done work on scaling laws and mechanistic interpretability of learning from repeated data. He is currently focused on alignment research. Staff Spencer Greenberg — Host / Director Josh Castle — Producer Ryan Kessler — Audio Engineer Uri Bram — Factotum WeAmplify — Transcriptionists Miles Kestran — Marketing Music Lee Rosevere Josh Woodward Broke for Free zapsplat.com wowamusic Quiet Music for Tiny Robots Affiliates Clearer Thinking GuidedTrack Mind Ease Positly UpLift [Read more]

Podcast: Clearer Thinking with Spencer Greenberg Episode: How quickly is AI advancing? And should you be working in the field? (with Danny Hernandez)Release date: 2023-08-23Read the full transcript here. Along what axes and at what rates is the AI industry growing? What algorithmic developments have yielded the greatest efficiency boosts? When, if ever, will we hit the upper limits of the amount of computing power, data, money, etc., we can throw at AI development? Why do some people seemingly become fixated on particular tasks that particular AI models can't perform and draw the conclusion that AIs are still pretty dumb and won't be taking our jobs any time soon? What kinds of tasks are more or less easily automatable? Should more people work on AI? What does it mean to "take ownership" of our friendships? What sorts of thinking patterns employed by AI engineers can be beneficial in other areas of life? How can we make better decisions, especially about large things like careers and relationships?Danny Hernandez was an early AI researcher at OpenAI and Anthropic. He's best known for measuring macro progress in AI. For example, he helped show that the compute of the largest training runs was growing at 10x per year between 2012 and 2017. He also helped show an algorithmic equivalent of Moore's Law that was faster, and he's done work on scaling laws and mechanistic interpretability of learning from repeated data. He is currently focused on alignment research. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsMiles Kestran — MarketingMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]

Read the full transcript here. Along what axes and at what rates is the AI industry growing? What algorithmic developments have yielded the greatest efficiency boosts? When, if ever, will we hit the upper limits of the amount of computing power, data, money, etc., we can throw at AI development? Why do some people seemingly become fixated on particular tasks that particular AI models can't perform and draw the conclusion that AIs are still pretty dumb and won't be taking our jobs any time soon? What kinds of tasks are more or less easily automatable? Should more people work on AI? What does it mean to "take ownership" of our friendships? What sorts of thinking patterns employed by AI engineers can be beneficial in other areas of life? How can we make better decisions, especially about large things like careers and relationships?Danny Hernandez was an early AI researcher at OpenAI and Anthropic. He's best known for measuring macro progress in AI. For example, he helped show that the compute of the largest training runs was growing at 10x per year between 2012 and 2017. He also helped show an algorithmic equivalent of Moore's Law that was faster, and he's done work on scaling laws and mechanistic interpretability of learning from repeated data. He is currently focused on alignment research. [Read more]

In the twelfth episode of Season 9 (Keep It Musical!) Kyle is joined by editor Kristi Shimek and stunt actor Danny Hernandez to discuss one of the true blue masterpieces of the MGM golden age of musicals with Vincente Minnelli's ode to collaborative creation and the sensation of pure entertainment in the exquisitely crafted and masterfully performed show revue The Band Wagon (1953).

In the third episode of Season 9 (Keep It Musical!) Kyle is joined by stunt actor Danny Hernandez and stand-up comedian JJ Tyson to discuss the subversive pre-code musical comedy about passion, class, and identity in Rouben Mamoulian's meta-textual experiment and satirical commentary on genre in the exquisitely delightful Love Me Tonight (1932).

In the fortieth episode of Season 8 (Coming-of-Ages) Kyle is joined by stunt actor Danny Hernandez and filmmaker Daniel Lopez to discuss the children lost to a societal failure in the 1970s trash infested tenements of Glasgow in Lynne Ramsay's poetic, lyrical, and devastating coming-of-age tale Ratcatcher (1999).

Our first mini-wave goes straight to the source...2 classroom teachers right here in St. Vrain! Join us as Altona Middle School's Cleveland Smith and Westview Middle School's Danny Hernandez talk classroom connections, relationships, and building collective efficacy. @SuzannahEvans2@saeed_shane@WestviewSVVSD@AltonaMS

In the fourteenth episode of Season 8 (Coming-of-Ages) Kyle is joined by stunt actor Danny Hernandez and filmmaker Daniel Lopez to discuss the black tragicomic adaptation of Patrick McCabe's novel about childhood neglect, parental malfeasance, and societal hypocrisy in Neil Jordan's confrontational and surrealist The Butcher Boy (1997).

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Conditioning Predictive Models: Large language models as predictors, published by evhub on February 2, 2023 on LessWrong. This is the first of seven posts in the Conditioning Predictive Models Sequence based on the forthcoming paper “Conditioning Predictive Models: Risks and Strategies” by Evan Hubinger, Adam Jermyn, Johannes Treutlein, Rubi Hudson, and Kate Woolverton. Each post in the sequence corresponds to a different section of the paper. We will be releasing posts gradually over the course of the next week or so to give people time to read and digest them as they come out. We are starting with posts one and two, with post two being the largest and most content-rich of all seven. Thanks to Paul Christiano, Kyle McDonell, Laria Reynolds, Collin Burns, Rohin Shah, Ethan Perez, Nicholas Schiefer, Sam Marks, William Saunders, Evan R. Murphy, Paul Colognese, Tamera Lanham, Arun Jose, Ramana Kumar, Thomas Woodside, Abram Demski, Jared Kaplan, Beth Barnes, Danny Hernandez, Amanda Askell, Robert Krzyzanowski, and Andrei Alexandru for useful conversations, comments, and feedback. Abstract Our intention is to provide a definitive reference on what it would take to safely make use of predictive models in the absence of a solution to the Eliciting Latent Knowledge problem. Furthermore, we believe that large language models can be understood as such predictive models of the world, and that such a conceptualization raises significant opportunities for their safe yet powerful use via carefully conditioning them to predict desirable outputs. Unfortunately, such approaches also raise a variety of potentially fatal safety problems, particularly surrounding situations where predictive models predict the output of other AI systems, potentially unbeknownst to us. There are numerous potential solutions to such problems, however, primarily via carefully conditioning models to predict the things we want—e.g. humans—rather than the things we don't—e.g. malign AIs. Furthermore, due to the simplicity of the prediction objective, we believe that predictive models present the easiest inner alignment problem that we are aware of. As a result, we think that conditioning approaches for predictive models represent the safest known way of eliciting human-level and slightly superhuman capabilities from large language models and other similar future models. 1. Large language models as predictors Suppose you have a very advanced, powerful large language model (LLM) generated via self-supervised pre-training. It's clearly capable of solving complex tasks when prompted or fine-tuned in the right way—it can write code as well as a human, produce human-level summaries, write news articles, etc.—but we don't know what it is actually doing internally that produces those capabilities. It could be that your language model is: a loose collection of heuristics,[1] a generative model of token transitions, a simulator that picks from a repertoire of humans to simulate, a proxy-aligned agent optimizing proxies like sentence grammaticality, an agent minimizing its cross-entropy loss, an agent maximizing long-run predictive accuracy, a deceptive agent trying to gain power in the world, a general inductor, a predictive model of the world, etc. Later, we'll discuss why you might expect to get one of these over the others, but for now, we're going to focus on the possibility that your language model is well-understood as a predictive model of the world. In particular, our aim is to understand what it would look like to safely use predictive models to perform slightly superhuman tasks[2]—e.g. predicting counterfactual worlds to extract the outputs of long serial research processes.[3] We think that this basic approach has hope for two reasons. First, the prediction orthogonality thesis seems basically right: we think...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Conditioning Predictive Models: Large language models as predictors, published by Evan Hubinger on February 2, 2023 on The AI Alignment Forum. This is the first of seven posts in the Conditioning Predictive Models Sequence based on the forthcoming paper “Conditioning Predictive Models: Risks and Strategies” by Evan Hubinger, Adam Jermyn, Johannes Treutlein, Rubi Hudson, and Kate Woolverton. Each post in the sequence corresponds to a different section of the paper. We will be releasing posts gradually over the course of the next week or so to give people time to read and digest them as they come out. We are starting with posts one and two, with post two being the largest and most content-rich of all seven. Thanks to Paul Christiano, Kyle McDonell, Laria Reynolds, Collin Burns, Rohin Shah, Ethan Perez, Nicholas Schiefer, Sam Marks, William Saunders, Evan R. Murphy, Paul Colognese, Tamera Lanham, Arun Jose, Ramana Kumar, Thomas Woodside, Abram Demski, Jared Kaplan, Beth Barnes, Danny Hernandez, Amanda Askell, Robert Krzyzanowski, and Andrei Alexandru for useful conversations, comments, and feedback. Abstract Our intention is to provide a definitive reference on what it would take to safely make use of predictive models in the absence of a solution to the Eliciting Latent Knowledge problem. Furthermore, we believe that large language models can be understood as such predictive models of the world, and that such a conceptualization raises significant opportunities for their safe yet powerful use via carefully conditioning them to predict desirable outputs. Unfortunately, such approaches also raise a variety of potentially fatal safety problems, particularly surrounding situations where predictive models predict the output of other AI systems, potentially unbeknownst to us. There are numerous potential solutions to such problems, however, primarily via carefully conditioning models to predict the things we want—e.g. humans—rather than the things we don't—e.g. malign AIs. Furthermore, due to the simplicity of the prediction objective, we believe that predictive models present the easiest inner alignment problem that we are aware of. As a result, we think that conditioning approaches for predictive models represent the safest known way of eliciting human-level and slightly superhuman capabilities from large language models and other similar future models. 1. Large language models as predictors Suppose you have a very advanced, powerful large language model (LLM) generated via self-supervised pre-training. It's clearly capable of solving complex tasks when prompted or fine-tuned in the right way—it can write code as well as a human, produce human-level summaries, write news articles, etc.—but we don't know what it is actually doing internally that produces those capabilities. It could be that your language model is: a loose collection of heuristics,[1] a generative model of token transitions, a simulator that picks from a repertoire of humans to simulate, a proxy-aligned agent optimizing proxies like sentence grammaticality, an agent minimizing its cross-entropy loss, an agent maximizing long-run predictive accuracy, a deceptive agent trying to gain power in the world, a general inductor, a predictive model of the world, etc. Later, we'll discuss why you might expect to get one of these over the others, but for now, we're going to focus on the possibility that your language model is well-understood as a predictive model of the world. In particular, our aim is to understand what it would look like to safely use predictive models to perform slightly superhuman tasks[2]—e.g. predicting counterfactual worlds to extract the outputs of long serial research processes.[3] We think that this basic approach has hope for two reasons. First, the prediction orthogonality thesis seems basi...

In the second episode of Season 8 (Coming-of-Ages) Kyle is joined by stunt actor Danny Hernandez and novelist Samuel Cullado to discuss the gutwrenching depiction of children lost in Italy's post-war system of cruelty, punishment, and bureaucracy in Vittorio De Sica's stunning coming-of-age masterpiece, Shoeshine (1946).

Today we hear the Combat Story of Danny Hernandez, a Vietnam Veteran who served as a Marine rifleman in Operation Utah in March 1966. Danny would later be awarded the Silver Star and there is currently a push to have that upgraded to a Medal of Honor. Danny came from the rough streets of East LA and after Vietnam would return to be a committed community activist and mentor for many of the kids who were not as fortunate as he was.  The Silver Star was certainly earned as Danny was shot twice while providing medical aid to a stranded and wounded Marine on the battlefield; refusing to be evacuated, and killing several enemy soldiers as they flanked the casualty collection point that Danny had just been sitting in.  Danny's work on mentoring and building the community in his hometown is inspiring and you can't help but laugh as you hear some of the stories of the Marine Corps back in the Vietnam era.  His story is documented in his book, titled “Silver Star: An American Story” in much greater detail for those who are left wanting more.  Find Danny Online:  -Book: Silver Star: An American Story https://www.amazon.com/Silver-Star-American-Danny-Hernandez-ebook/dp/B07CJYYLLS/ref=tmm_kin_swatch_0?_encoding=UTF8&qid=&sr= Find Ryan Online:  - Ryan's Linktree https://linktr.ee/combatstory - Merch https://www.bonfire.com/store/combatstory/ - Instagram @combatstory https://www.instagram.com/combatstory - Facebook @combatstoryofficial https://fb.me/combatstoryofficial - Send us messages at https://m.me/combatstoryofficial - Email ryan@combatstory.com - Learn more about Ryan www.combatstory.com/aboutus Show Notes: 0:00 - Intro  0:58 - Guest Introduction (Danny Hernandez)  2:12 - Interview begins  2:58 -  Growing up on the streets and early interest in joining the Marines  12:04 -  What Marine Corps boot camp was like in 1965  25:46 - Combat Story - Vietnam War - Movement into country and the amphibious landing  30:05 - First time in battle the first night they were there  33:35 - The brutal environment of Vietnam  35:48 - First 45 days of battles and the brotherhood fighting for each other  38:48 - How the streets made him sharper in battle  40:44 - Combat Story - Operation Utah - the 2nd largest battle in Vietnam history by Marines 1:02:00 - Wounded and tagged to get out but went back into battle anyway 1:09:31 -  Getting shot again, flown out for medical care, and adjusting to not being in combat  1:23:20 - Receiving a Silver Star 43 years later  1:30:33 - How influential was Vietnam in your work later in the community?  1:32:28 - About Danny's books "Silver Star: An American Story" and the new one "Chaos to Community"   1:33:09 - Listener comments and shout outs  This video covers the following subjects: - Marine Corps Silver Star Recipient - Operation Utah - Vietnam Veteran - Danny Hernandez By the time Danny graduates high school in 1965, he must choose between the two futures represented by his two uncles: Street Warrior or Military Man. Danny chooses the Marine Corps. Danny graduates from boot camp the same year President Lyndon B. Johnson commits ground troops to Vietnam. While his cousins back home express interest in the civil rights movement, Danny loses good friends in jungle raids and skirmishes with the Viet Cong. This is a gripping, true-life story, told in Danny's own words. From his training at Camp Pendleton to his heroic actions saving the lives of his fellow marines during Operation Utah, through his honorable discharge during one of the most tumultuous years of the Civil Rights Movement, Danny's endearing, honest, and sometimes heart-wrenching story honors the lives of those who risked everything for their country and their fellow marines. If you would like to learn more about Marine Corps Silver Star Recipient, Danny Hernandez I suggest you look into our various other video clips: https://www.youtube.com/channel/UCCyApoJr-mNmdMNwdk22xEQ _________________________ Have I responded to all of your questions about Marine Corps Silver Star Recipient, Danny Hernandez? Possibly you wish to comment below and let me understand what I can help you with or information on Marine Corps Silver Star Recipient, Danny Hernandez.  

Adam Gorney is joined by quarterback coach Danny Hernandez, who trains new Alabama commit Julian Sayin.

In the thirty-second episode of Season 7 (Fantastical Realities) Kyle is joined by script supervisor Katy Baldwin and stunt coordinator/horror aficionado Danny Hernandez to discuss the "chinese box structure" and coming-of-age sexuality that encompasses the feminist subversion of traditional fable in Neil Jordan's adaptation of Angela Carter's The Company of Wolves (1984).

In the twenty-seventh episode of Season 7 (Fantastical Realities) Kyle is joined by stunt coordinator Danny Hernandez and screenwriter August Gummere to discuss the dedication to nonsense and absurdism as it relates to the regressive Dark Ages in the very loose yet inspired adaptation of Lewis Carroll in Terry Gilliam's Jabberwocky (1977).

Danny discusses the three exponentials driving AI progress: hardware, algorithmic, and spending. We'll consider extrapolating these trends 10–20 years out. We'll translate effective compute progress into GPT-2 to GPT-3 sized jumps and build an intuition for such jumps. We'll use the extrapolations and jump intuition to think about what capabilities normal progress in effective compute are likely to yield. This session will be particularly relevant to people very concerned about AI, considering working in AI, or choosing an agenda within AI. View the original talk and video here.Effective Altruism is a social movement dedicated to finding ways to do the most good possible, whether through charitable donations, career choices, or volunteer projects. EA Global conferences are gatherings for EAs to meet.Effective Altruism is a social movement dedicated to finding ways to do the most good possible, whether through charitable donations, career choices, or volunteer projects. EA Global conferences are gatherings for EAs to meet. You can also listen to this talk along with its accompanying video on YouTube.

In the twenty-fourth episode of Season 7 (Fantastical Realities) Kyle is joined by screenwriter David Gutierrez and stunt coordinator Danny Hernandez to attempt deciphering the anarchic arthouse gem that embodies a tale of female comraderie, creative autonomy, and collaborative aims in Jacques Rivette's Celine and Julie Go Boating (1974).

In the twelfth episode of Season 7 (Fantastical Realities) Kyle is joined by screenwriter David Gutierrez and stunt actor Danny Hernandez to discuss Vittorio De Sica's delightful and heart warming indictment of society gone wrong in the fantastical inversion of neo-realist tragedy in Miracle in Milan (1951).

Episode 15: PJ Tibayan and Danny Hernandez recap and dig WAY deeper over some of the themes and highlights from Sessions 3, 4, and 5 of the 9Marks/Shepherd LA Conference.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Monitoring for deceptive alignment, published by Evan Hubinger on September 8, 2022 on The AI Alignment Forum. This post is a follow-up to “AI coordination needs clear wins.” Thanks to Ethan Perez, Kate Woolverton, Richard Ngo, Anne le Roux, Sam McCandlish, Adam Jermyn, and Danny Hernandez for useful conversations, comments, and feedback. In this post, I want to propose a clear, concrete coordination task that I think might be achievable soon given the current landscape, would generate a clear coordination win, and that I think would be highly useful in and of itself. Specifically: I want DeepMind, OpenAI, and Anthropic to commit to actively monitor and look for evidence of deceptive alignment in their models—as well as run experiments to try to predict when and where deceptive alignment might occur before it does. Notably, I am specifically referring only to the narrow case of deceptive alignment here, not just any situation where models say false things. Deceptive alignment is specifically a situation where the reason the model looks aligned is because it is actively trying to game the training signal for the purpose of achieving some ulterior goal. I think this is a pretty minimal ask that would nevertheless be a clear win. Among all AI failure modes, deceptive alignment is one of the most unambiguously bad, which means, though I expect lots of disagreement on its likelihood, there should be little disagreement regarding its severity. Furthermore, things that I'm not asking for: that they make such a commitment highly public or legally binding, that they commit to any specific way of monitoring for or addressing the problem, that any organization has to share anything they find with any other organization, or that they commit to anything other than testing and monitoring. Nevertheless, as I stated, I think this would still be quite useful. First, I think deceptive alignment is clearly one of the most concerning problems in AI alignment. Though they don't always use the framing of deceptive alignment specifically, most presentations of AI risk feature the phenomenon of an AI that wants something in the world deceiving our oversight procedures to get that something. See: treacherous turns, schemers, influence-seeking behavior, power-seeking AI. Furthermore, I think there is a strong case for why deceptive alignment is reasonably likely to appear by default in advanced machine learning systems. Second, I think that it is plausible that, if deceptive alignment is eventually going to be a problem, we'll be able to see it and produce demonstrations of it before it becomes existentially dangerous. I'm less confident in this premise than the previous one, but my current sense is that the space of deceptively aligned models is large enough to include lots of deceptively aligned models that would be willing to display their deception in the presence of the right sort of honeypot. For example, you might be able to find deceptively aligned models that:[1] have relatively short time horizons such that they are very willing to defect even if their payoff and/or probability of successful defection is low, are confused about what level of simulation they're in such that they defect to break out of an inner simulation only to find themselves in an outer simulation, are bad enough at hiding their deception that simple transparency tools can detect them, are unwilling to cooperate with other deceptively aligned models to all defect simultaneously, etc. Of course, just being able to detect deception doesn't mean we'll be able to solve it—and in fact in many cases it seems likely that our default ways of addressing deception would result in deception that just hides itself better—but I still think that being able to detect it before it becomes catastrophic would be a huge win, since i...

In the third episode of Season 7 (Fantastical Realities) Kyle is joined by novelist Samuel Cullado and stunt actor Danny Hernandez to discuss the blasphemous and anarchic surrealism of Luis Buñuel in the vignette driven attack on church, the bourgeousie, and the moralistic insanity of modernity in L'Age d'Or (1930).

Episode 11: PJ Tibayan and Danny Hernandez recap and dig deeper over some of the themes and highlights from Day 1 of the 9Marks/Shepherd LA Conference. Learn more at ShepherdLA.org

In the thirty-fourth episode of Season 6 (Heists, Cons, & Grifters) Kyle is joined by writer August Gummere and stunt actor Danny Hernandez to discuss the undercover cop heist drama about fractured loyalties, criminal brotherhood, and the isolation of profession in Ringo Lam's City on Fire (1987).

Juac's brother, Tattoo Artist, Danny Hernandez stops by the studio and joins the madness! NEWS CLIPS: New facial recognition search engine; Juneteenth racist products are among us; Mo'Nique calls out D.L. Hughley & Steve Harvey; Bodycam footage shows Arizona police standing around while man drowns; Florida woman causes head on collision. HOLLYWOO!: Netflix drops a trailer for “The Gray Man”; Ted Lasso season 3 is filming now; A “Winnie The Pooh” horror film; The Flash is “well received” by audiences; Kevin Feige considered moving to DC; Morbius re-released to 1000 theaters and bombs…again. QOTD: "Would you rather date a girl who constantly sneezes on you, or who constantly farts during sex?” "Which celebrity that everyone thinks is hot do you disagree about?” “Who is the one person in the world you would least want to bang your significant other?” “What would you give up first: Drinking, Watching sports, or c*mming?” AFFILIATE PODCASTS: CriticalMass (https://podcasts.apple.com/us/podcast/criticalmass-podcast/id1350565395) NEED MERCH?!: www.insensitivemerch.com For more info about us visit: asylumstudios.live/ Contact via email: joaquin@asylumstudios.live

In the fourteenth episode of Season 6 (Heists, Cons, & Grifters) Kyle is joined by writer/journalist Kerry Harwin and stunt actor Danny Hernandez to discuss the origins of the suave, post-modernist gangster in Jean-Pierre Melville's existential and amoralistic reflection in Bob le Flambeur (1956).

#30 Danny Hernandez | Heavy Metal | Palabras PodcastSupport the show

In the eighth episode of Season 6 (Heists, Cons, & Grifters) Kyle is joined by stunt actor Danny Hernandez and fellow podcaster Daniel Lopez (of the GHOSTS podcast) to discuss the nasty brutality of thugs and cops in the pulpy vengeance noir from Phil Karlson, Kansas City Confidential (1952).

In the fifth episode of Season 6 (Heists, Cons, & Grifters) Kyle is joined by editor Kristi Shimek and stunt actor Danny Hernandez to discuss the seminal romantic fatalistic noir about the permanence of class and situation for societal outcasts in the thrilling gangster drama from Raoul Walsh, High Sierra (1941).

In the second episode of Season 6 (Heists, Cons, & Grifters) Kyle is joined by fellow podcaster Ben Thelen (of the Dead Reckoner Podcast) and stunt actor Danny Hernandez to talk about Jean Renoir's immensely cynical depiction of the post-war France grifting lifestyle that equates survival and usury in La Chienne (1931).

In the fortieth episode of Season 5 (Dystopia Myopia) Kyle is joined by streamer Daniel Lopez (of the GHOSTS podcast) and actor Danny Hernandez to discuss Michael Haneke's quiet and disconcerting immersion into an ecological nightmare of tribal community and existential waiting in Time of the Wolf.

In the thirty-fifth episode of Season 5 (Dystopia Myopia) Kyle is joined by stunt actor Danny Hernandez and fellow podcaster Gio Maldonado to discuss the philosophical treatise on identity and augmented reality that defines the highly influential Japanese anime from Mamoru Oshii, Ghost in the Shell.

In the twenty-seventh episode of Season 5 (Dystopia Myopia) Kyle is joined by stunt actor Danny Hernandez and writer August Gummere to discuss the Japanese cultural anxiety of encroaching technological control and influence in the cross cultural animated hit in Katsuhiro Otomo's Akira

In the twenty-fifth episode of Season 5 (Dystopia Myopia) Kyle is joined by screenwriter David Gutierrez and stunt actor Danny Hernandez to discuss the emotionally crushing formal quietness of facing the slow impending death of nuclear annihilation with the hopefulness of the human spirit in Lynne Littman's Testament.

We're back with a fascinating interview with author Shawn Setaro, a reporter for Complex who has written the definitive account of the life, times, and trial of Danny Hernandez, better known as 6ix9ine. Shawn's dogged reporting, clean prose, and empathetic viewpoint make his new book Complex Presents Dummy Boy: Tekashi 6ix9ine And The Nine Trey Gangsta Bloods a fascinating read. Fans of DBRP should also take some time to listen through the archives of Shawn's masterful hip-hop podcast The Cipher. This is Shawn's third time joining us and it will not be the last, he is a thoughtful and entertaining guest. This week we are also launching our new artwork by Dewey Saunders and theme song from producer Cutso and our very own DEM ONE. Beats for this week's show are by the homie Small Pro and we appreciate the contribution. DBRP is brought to you by Stony Island Audio, a podcast network by and for hip-hop storytellers. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week... minds are blown... as we have magician Danny Hernandez in the virtual studio. We talk everything in the world of Nerds, Geeks & Gamers... including a non spoiler review of Spiderman, Punisher news and toy makers releasing a huge spoiler. We then talk to Danny about being a Magician, the community, and finally... he wrinkles Kim's mind with some magic... hope you enjoy

In the fifth episode of Season 5 (Dystopia Myopia) Kyle is joined by novelist Samuel Cullado and actor Danny Hernandez to discuss the pivotal avant garde masterwork of still image, music, and narration from the mind of Chris Marker, the fantasy time travel short film La Jetée.

On this episode: We welcome Zac's beautiful fiancé, Tatiana who replace Brandon and Luke who were out.Random TopicsGirls shooting their shot (29:39)Finding out your partner had an affair (50:00)Being with someone who snores (56:40)What fictional family would we want to be a part of (01:09:15)Streaming“There is No “I” in Threesome (01:15:55)“69: The Saga of Danny Hernandez” (01:17:42)SportsZlatan vs Lebron (01:30:50)ESPN's top 15 QBs since 2000 (01:40:31)

Danny Hernandez is one of the premier quarterback mentors and coaches for high school football players in the country. But the fundamental position skills he teaches are secondary to preparing his students to become better men first. He joins host David Berry (MUNICIPAL's VP of People & Culture) to talk about his early influences, creating an environment for young people to succeed, why learning is just as important as teaching, how he absorbed his coaching philosophies, and the absolute key lessons he tries to teach his students. Follow Danny on Instagram: @dannyh131 ABOUT BECOMING BETTER MEN David Berry, a longtime coach and advisor to organizational leaders and the VP of people & culture at MUNICIPAL, hosts a series of conversations with men (and women) who are dedicated to learning, growth, and the belief that cultural norms of masculinity are painfully outdated and damaging. The idea is to inspire and encourage "better men" to both live and lead in wholehearted ways. The dialogue gets deep and candid as each guest shares stories about their origins, developing their values, careers, family, faith, decision-making, and failure. Look for new episodes on iTunes and Spotify at the beginning of every week. Subscribe on Apple Podcasts: https://apple.co/2L3epws Subscribe on Spotify: https://open.spotify.com/show/70MS450BNc3fhU8fXu0sA9?si=L_KqLzjQQ7qpieMe1YmSvQ