Podcasts about Research report

Welcome to the 10th episode of the 2025 season! Christine Charles, MSU Extension Field Crops Educator, will host Scott Bales, MSU Extension Dry Bean Specialist, to discuss making management decisions in soybeans based upon data. Also, a weather update from Dr. Jeff Andresen . To learn more and register for the live event, check out the MSUE Virtual Breakfast page.Resources:MSU Soil Fertility and Nutrient Management Website:  https://www.canr.msu.edu/soilfertility/2024 Research Report: https://michiganbean.com/2024-michigan-dry-bean-research-report/

In this episode of Marketing Sweats, Misty chats with Jason Brown, insights director at Simantel, about our latest research report: Problem-solving Through Partnerships. Spoiler: Strong, long-term partnerships matter more than flashy campaigns.

Unveiling Cyber Security Insights with David Shipley: The Truth Behind Phishing and Technology Bias Join Jim Love and cybersecurity expert David Shipley in this insightful episode of 'Cyber Security Today.' They delve into the realities of phishing in the workplace, revealing surprising data about email filter leakage rates and the critical role of human behavior in cybersecurity. Discover the importance of balanced security training, the dangers of over-reliance on technology, and the psychological biases that can compromise your organization. Gain actionable insights and learn how to benchmark your cybersecurity efforts effectively. 00:00 Introduction to Cybersecurity Today 00:10 The Fascination with Science and Truth 00:31 Heroes and Influences 00:47 The Reality of Tech Research 01:43 Phishing Email Statistics 03:52 Technology Bias in Cybersecurity 07:30 The Importance of Security Awareness 15:02 Effective Training Strategies 20:53 Optimism Bias and Security 21:57 Exploring Popular Courses and Their Impact 23:33 Understanding Phishing Metrics: Click Rate and Report Rate 26:28 The Importance of Post-Click Report Rate 31:39 Analyzing Industry Trends in Phishing 35:00 Key Takeaways and Future Directions 39:29 Accessing the Annual Report and Final Thoughts

Not to get all "check your privileges" on you, but if your organization has an in-house research team, or works with a research firm, or even has just one UXR on staff, you gotta count yourself lucky. According to the 2024 State of Research Report by User Interviews, for every one dedicated researcher, there are five PWDRs—that stands for 'people who do research'. So by my math, that means that there's a 1 in 6 chance that one of those PWDRs is you. So if you do identify as a PWDR, you're likely in a situation where you're doing the absolute best job you can doing UXR off the side of your desk, while painfully aware that you don't know what you don't know about doing it better.And since 1 in 6 of us are in this exact position, we held a phenomenal panel event with three renowned user research experts who really get it and want to help. In this recording, you'll learn what good, decent, and great user research looks like, the traits that distinguish good, decent, and great UX design, and useful strategies to connect UX insights to your product's unique selling proposition.Resources from this episode:Subscribe to The Product Manager newsletterConnect with Laura, Steve, and Thomas on LinkedInCheck out Users Know, Portigal Consulting, and Drill Bit Labs

THE HINDENBURG RESEARCH REPORT ON CARVANA OUTLINES BANKRUPTCY RISKS, BILLION-DOLLAR STOCK CASH-OUTS, MASSIVE DEBT, SUBPRIME AUTO LOAN DELINQUENCIES, AND A POSITIVE EXECUTIVE FUTURE OUTLOOK. Is this a Nothing Burger? This is Automotive Ecosystem on ATI.

Becoming Your Own Banker by Nelson Nash: https://infinitebanking.org/product/becoming-your-own-banker/ref/46/Visit our website: https://www.thewealthwarehousepodcast.com/In this episode of Wealth Warehouse, hosts Dave and Paul dive into a fascinating new report from Ernst & Young (EY) that sheds light on the evolving role of whole life insurance in retirement planning and investments. They unpack key takeaways from the report, titled "How Life Insurers Can Provide Differentiated Retirement Benefits", and explore how these insights align with the Infinite Banking philosophy.From the challenges facing traditional retirement strategies to the unique opportunities whole life insurance can offer, Dave and Paul break down the complex world of insurance-backed financial planning in an easy-to-understand and actionable way.https://www.ey.com/en_us/insights/insurance/how-life-insurers-can-provide-differentiated-retirement-benefitsEpisode Highlights:0:00 - Introduction1:31 - Episode beginning3:26 - EY's report on whole life insurance8:54 - Why use whole life vs. universal?10:04 - Deferred income annuities and pensions16:01 - Examining the“35 yr. old couple” simulation21:00 - Looking at “10% whole life, 90% investments”ABOUT YOUR HOSTS:David Befort and Paul Fugere are the hosts of the Wealth Warehouse Podcast. David is the Founder/CEO of Max Performance Financial. He founded the company with the mission of educating people on the truths about money. David's mission is to show you how you can control your own money, earn guarantees, grow it tax-free, and maintain penalty-free access to it to leverage for opportunities that will provide passive income for the rest of your life. Paul, on the other hand, is an Active Duty U.S. Army officer who graduated from Norwich University in 2002 with a B.A. in History and again in 2012 with a MA in Diplomacy and International Terrorism. Paul met his wife Tammy at Norwich. As a family, they enjoy boating, traveling, sports, hunting, automobiles, and are self-proclaimed food people.Visit our website: https://www.thewealthwarehousepodcast.com/ Catch up with David and Paul, visit the links below! Website: https://infinitebanking.org/agents/Fugere494 https://infinitebanking.org/agents/Befort399 LinkedIn: https://www.linkedin.com/in/david-a-befort-jr-09663972/ https://www.linkedin.com/in/paul-fugere-762021b0/ Email: davidandpaul@theibcguys.com

A new European research report reveals that artificial intelligence is on track to overhaul businesses in 2025, with over two-thirds expected to integrate AI-powered software by the end of next year. While AI is set to redefine many industries in the year ahead, not all sectors and markets are equally positioned to benefit, the State of European BusinessTech 2024 report found. It paints a nuanced picture of European BusinessTech, highlighting both transformative potential and emerging disparities expected in 2025. Contrary to fears that AI might disrupt the Software-as-a-Service (SaaS) model, the report highlights that AI is supercharging SaaS growth rather than replacing it. The report found that businesses are increasingly turning to SaaS solutions enhanced with AI capabilities, driving a surge in spending. In 2024 alone, investment in SaaS and supporting tech infrastructure grew by over 20%, while spending on Generative AI infrastructure surged by 30%. The report highlights that workforce disparities are becoming more pronounced in Europe with automation advancing rapidly in desk-based roles, such as sectors like tax, accounting, HR and legal seeing AI adoption rates as high as 85%. The legal and regulatory sectors have seen AI adoption jump from 17% to 79% in just two years, signaling a dramatic shift in how businesses approach compliance and legal frameworks. However, 80% of Europe's workers - those in deskless roles such as medical, industrial, hospitality and retail sectors - are being largely left behind, according to the report. These workers receive only 1% of enterprise software funding, highlighting a critical gap in digital transformation efforts. This divide is further exacerbated by broader funding trends identified in the report. While mid market M&A activity remains strong, particularly for deals under €500 million, the lack of significant VC-backed exits above this threshold since 2022 suggests that capital flows are not aligning with the scale required for systemic transformation. Combined with a 26% drop in business technology funding across Europe in the first half of 2024, these challenges could slow the region's progress toward a more inclusive AI-powered economy, the report found. The European funding picture The report, authored by European growth capital firm Finch Capital, reveals largely dynamic BusinessTech funding across Europe, with the UK firmly retaining its position as the leading hub. The UK accounted for more than 50% of all capital raised in Europe, driven by record-breaking investment in AI for customer support, analytics and process automation. Over £6 billion was invested in UK data centres last year to prepare for the AI era, and BusinessTech funding surged by 83% year-on-year in the first half of 2024, reaching €2.9 billion compared to €1.6 billion in the same period last year. The Netherlands, meanwhile, boasts a thriving startup ecosystem centred in Amsterdam, now home to a record 4,000 active startups. Despite this growth, BusinessTech funding in the Netherlands declined by 23% year-on-year for the first half of 2024, signalling challenges in maintaining investment momentum. In contrast, Ireland experienced exceptional growth, with BusinessTech funding increasing by 123% year-on-year to €49 million. The largest deal in the sector came from AccountsIQ, which raised €60 million in a Series C round. France is positioning itself as a leader in AI innovation with ambitious programmes like Mistrall AI. BusinessTech funding in the country surged by 238% in the first half of 2024 to €1.2 billion, up from €343 million during the same period last year. Spain also saw significant growth, driven by a strong focus on cloud infrastructure investments. Amazon's announcement of a €15.7 billion investment in the country over the next decade aligns with a 227% increase in BusinessTech funding to €170 million, compared to €52 million in H1 2023. However, not all markets experienced growth. Germany ...

A new European research report reveals that artificial intelligence is on track to overhaul businesses in 2025, with over two-thirds expected to integrate AI-powered software by the end of next year. While AI is set to redefine many industries in the year ahead, not all sectors and markets are equally positioned to benefit, the State of European BusinessTech 2024 report found. It paints a nuanced picture of European BusinessTech, highlighting both transformative potential and emerging disparities expected in 2025. Contrary to fears that AI might disrupt the Software-as-a-Service (SaaS) model, the report highlights that AI is supercharging SaaS growth rather than replacing it. The report found that businesses are increasingly turning to SaaS solutions enhanced with AI capabilities, driving a surge in spending. In 2024 alone, investment in SaaS and supporting tech infrastructure grew by over 20%, while spending on Generative AI infrastructure surged by 30%. The report highlights that workforce disparities are becoming more pronounced in Europe with automation advancing rapidly in desk-based roles, such as sectors like tax, accounting, HR and legal seeing AI adoption rates as high as 85%. The legal and regulatory sectors have seen AI adoption jump from 17% to 79% in just two years, signaling a dramatic shift in how businesses approach compliance and legal frameworks. However, 80% of Europe's workers - those in deskless roles such as medical, industrial, hospitality and retail sectors - are being largely left behind, according to the report. These workers receive only 1% of enterprise software funding, highlighting a critical gap in digital transformation efforts. This divide is further exacerbated by broader funding trends identified in the report. While mid market M&A activity remains strong, particularly for deals under €500 million, the lack of significant VC-backed exits above this threshold since 2022 suggests that capital flows are not aligning with the scale required for systemic transformation. Combined with a 26% drop in business technology funding across Europe in the first half of 2024, these challenges could slow the region's progress toward a more inclusive AI-powered economy, the report found. The European funding picture The report, authored by European growth capital firm Finch Capital, reveals largely dynamic BusinessTech funding across Europe, with the UK firmly retaining its position as the leading hub. The UK accounted for more than 50% of all capital raised in Europe, driven by record-breaking investment in AI for customer support, analytics and process automation. Over £6 billion was invested in UK data centres last year to prepare for the AI era, and BusinessTech funding surged by 83% year-on-year in the first half of 2024, reaching €2.9 billion compared to €1.6 billion in the same period last year. The Netherlands, meanwhile, boasts a thriving startup ecosystem centred in Amsterdam, now home to a record 4,000 active startups. Despite this growth, BusinessTech funding in the Netherlands declined by 23% year-on-year for the first half of 2024, signalling challenges in maintaining investment momentum. In contrast, Ireland experienced exceptional growth, with BusinessTech funding increasing by 123% year-on-year to €49 million. The largest deal in the sector came from AccountsIQ, which raised €60 million in a Series C round. France is positioning itself as a leader in AI innovation with ambitious programmes like Mistrall AI. BusinessTech funding in the country surged by 238% in the first half of 2024 to €1.2 billion, up from €343 million during the same period last year. Spain also saw significant growth, driven by a strong focus on cloud infrastructure investments. Amazon's announcement of a €15.7 billion investment in the country over the next decade aligns with a 227% increase in BusinessTech funding to €170 million, compared to €52 million in H1 2023. However, not all markets experienced growth. Germany ...

Clarence Ford speaks to Dorcas Dlamini Mbele, Area Commercial Director for Marriott International – Sub-Saharan Africa.See omnystudio.com/listener for privacy information.

This post summarizes the main findings of a new meta-analysis from the Humane and Sustainable Food Lab. We analyze the most rigorous randomized controlled trials (RCTs) that aim to reduce consumption of meat and animal products (MAP). We conclude that no theoretical approach, delivery mechanism, or persuasive message should be considered a well-validated means of reducing MAP consumption. By contrast, reducing consumption of red and processed meat (RPM) appears to be an easier target. However, if RPM reductions lead to more consumption of other MAP like chicken and fish, this is likely bad for animal welfare and doesn't ameliorate zoonotic outbreak or land and water pollution. We also find that many promising approaches await rigorous evaluation. This post updates a post from a year ago. We first summarize the current paper, and then describe how the project and its findings have evolved. What is a rigorous RCT? There is [...] ---Outline:(01:09) What is a rigorous RCT?(02:15) The main theoretical approaches:(04:45) Results: consistently small effects(07:22) Where do we go from here?(09:00) How has this project changed over time?The original text contained 2 images which were described by AI. --- First published: November 25th, 2024 Source: https://forum.effectivealtruism.org/posts/i5wnzz4uAgeF3ZRc5/research-report-meaningfully-reducing-consumption-of-meat --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

A generational divide has emerged in Ireland's health and wellbeing standards with more than half of younger adults considered in ‘poor health'. That's according to the Irish Life 2024 Health of the Nation annual research report. We discuss the findings of the report with Dr Carol Rogan, Psychologist with Irish Life.

A generational divide has emerged in Ireland's health and wellbeing standards with more than half of younger adults considered in ‘poor health'. That's according to the Irish Life 2024 Health of the Nation annual research report. We discuss the findings of the report with Dr Carol Rogan, Psychologist with Irish Life.

Send us a textPlease Support Our Show❤️https://www.paypal.com/donate/?hosted_button_id=88DP4YMVETHFQAdvertise with us:https://theliteracyview.com/contact/Join our Facebook Group✅https://www.facebook.com/share/g/msdoTSwSiQvbtUW9/?mibextid=qtnXGeEmail us: FaithandJudy@gmail.comFaith's Book Links-https://a.co/d/5bv8AdEhttps://a.co/d/50d2qWZThe One About…Teachers Need Support to Teach Reading in Grades 3-8: RAND RESEARCH REPORT What's Missing from Teachers' Toolkits to Support Student Reading in Grades 3-8?Findings from the RAND American Teacher Panelhttps://www.rand.org/content/dam/rand/pubs/research_reports/RRA3300/RRA3358-1/RAND_RRA3358-1.pdf Anna Shapiro is an associate policy researcher at the RAND Corporation with a focus on early childhood education and special education. Her research interests include strengthening early care and education systems, increasing access to high-quality public early learning opportunities, improving the educational experiences of children receiving special education services and children with developmental differences, and evaluations of programs and policies impacting children in PK-20. Rebecca SutherlandAssociate Director of Research at AERDFRebecca Sutherland is an experienced qualitative and quantitative researcher who's built a career working in public education at both the state (Massachusetts) and local district (Denver Public Schools) levels, along with some stints at national ed non-profits that partner directly with districts and schools. As Director of Assessment at Reading Partners from 2014-2017 Rebecca led the measurement of student learning needs and growth.https://aerdf.org/team/rebecca-sutherland/Here are the two assessments that are validated for use with older readers through high school:ROAR (Rapid Online Assessment of Reading): modular administration, free to schools and districtsCapti Assess: explicitly designed to test reading comprehension and foundational skills of students in grades 3-12  Support the showThe Literacy View is an engaging and inclusive platform encouraging respectful discussion and debate about current issues in education.

Accenture Song - the world's largest tech-powered creative group - has released its Life Trends 2025 research report which surveyed 24 295 respondents across 22 countries, including more than 1 000 South Africans. The Life Trends 2025 report talks about how trust between people and businesses is changing and explores the trends businesses need to keep people's trust and attention. Moagi Bodibe, Managing Director Marketing Practice at Accenture Song South Africa, is available to discuss the trends below within the local context. See omnystudio.com/listener for privacy information.

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: [Interim research report] Activation plateaus & sensitive directions in GPT2, published by Stefan Heimersheim on July 5, 2024 on The AI Alignment Forum. This part-report / part-proposal describes ongoing research, but I'd like to share early results for feedback. I am especially interested in any comment finding mistakes or trivial explanations for these results. I will work on this proposal with a LASR Labs team over the next 3 months. If you are working (or want to work) on something similar I would love to chat! Experiments and write-up by Stefan, with substantial inspiration and advice from Jake (who doesn't necessarily endorse every sloppy statement I write). Work produced at Apollo Research. TL,DR: Toy models of how neural networks compute new features in superposition seem to imply that neural networks that utilize superposition require some form of error correction to avoid interference spiraling out of control. This means small variations along a feature direction shouldn't affect model outputs, which I can test: 1. Activation plateaus: Real activations should be resistant to small perturbations. There should be a "plateau" in the output as a function of perturbation size. 2. Sensitive directions: Perturbations towards the direction of a feature should change the model output earlier (at a lower perturbation size) than perturbations into a random direction. I find that both of these predictions hold; the latter when I operationalize "feature" as the difference between two real model activations. As next steps we are planning to Test both predictions for SAE features: We have some evidence for the latter by Gurnee (2024) and Lindsey (2024). Are there different types of SAE features, atomic and composite features? Can we get a handle on the total number of features? If sensitivity-features line up with SAE features, can we find or improve SAE feature directions by finding local optima in sensitivity (similar to how Mack & Turner (2024) find steering vectors)? My motivation for this project is to get data on computation in superposition, and to get dataset-independent evidence for (SAE-)features. Core results & discussion I run two different experiments that test the error correction hypothesis: 1. Activation Plateaus: A real activation is the center of a plateau, in the sense that perturbing the activation affects the model output less than expected. Concretely: applying random-direction perturbations to an activation generated from a random openwebtext input ("real activation") has less effect than applying the same perturbations to a random activation (generated from a Normal distribution). This effect on the model can be measured in KL divergence of logits (shown below) but also L2 difference or cosine similarity of late-layer activations. 2. Sensitive directions: Perturbing a (real) activation into a direction towards another real activation ("poor man's feature directions") affects the model-outputs more than perturbing the same activation into a random direction. In the plot below focus on the size of the "plateau" in the left-hand side 1. Naive random direction vs mean & covariance-adjusted random: Naive isotropic random directions are much less sensitive. Thus we use mean & covariance-adjusted random activations everywhere else in this report. 2. The sensitive direction results are related to Gurnee (2024, SAE-replacement-error direction vs naive random direction) and Lindsey (2024, Anthropic April Updates, SAE-feature direction vs naive random direction). The theoretical explanation for activation plateaus & sensitive direction may be error correction (also referred to as noise suppression): NNs in superposition should expect small amounts of noise in feature activations due to interference. (The exact properties depend on how computation happens in s...

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: [Interim research report] Activation plateaus & sensitive directions in GPT2, published by StefanHex on July 5, 2024 on LessWrong. This part-report / part-proposal describes ongoing research, but I'd like to share early results for feedback. I am especially interested in any comment finding mistakes or trivial explanations for these results. I will work on this proposal with a LASR Labs team over the next 3 months. If you are working (or want to work) on something similar I would love to chat! Experiments and write-up by Stefan, with substantial inspiration and advice from Jake (who doesn't necessarily endorse every sloppy statement I write). Work produced at Apollo Research. TL,DR: Toy models of how neural networks compute new features in superposition seem to imply that neural networks that utilize superposition require some form of error correction to avoid interference spiraling out of control. This means small variations along a feature direction shouldn't affect model outputs, which I can test: 1. Activation plateaus: Real activations should be resistant to small perturbations. There should be a "plateau" in the output as a function of perturbation size. 2. Sensitive directions: Perturbations towards the direction of a feature should change the model output earlier (at a lower perturbation size) than perturbations into a random direction. I find that both of these predictions hold; the latter when I operationalize "feature" as the difference between two real model activations. As next steps we are planning to Test both predictions for SAE features: We have some evidence for the latter by Gurnee (2024) and Lindsey (2024). Are there different types of SAE features, atomic and composite features? Can we get a handle on the total number of features? If sensitivity-features line up with SAE features, can we find or improve SAE feature directions by finding local optima in sensitivity (similar to how Mack & Turner (2024) find steering vectors)? My motivation for this project is to get data on computation in superposition, and to get dataset-independent evidence for (SAE-)features. Core results & discussion I run two different experiments that test the error correction hypothesis: 1. Activation Plateaus: A real activation is the center of a plateau, in the sense that perturbing the activation affects the model output less than expected. Concretely: applying random-direction perturbations to an activation generated from a random openwebtext input ("real activation") has less effect than applying the same perturbations to a random activation (generated from a Normal distribution). This effect on the model can be measured in KL divergence of logits (shown below) but also L2 difference or cosine similarity of late-layer activations. 2. Sensitive directions: Perturbing a (real) activation into a direction towards another real activation ("poor man's feature directions") affects the model-outputs more than perturbing the same activation into a random direction. In the plot below focus on the size of the "plateau" in the left-hand side 1. Naive random direction vs mean & covariance-adjusted random: Naive isotropic random directions are much less sensitive. Thus we use mean & covariance-adjusted random activations everywhere else in this report. 2. The sensitive direction results are related to Gurnee (2024, SAE-replacement-error direction vs naive random direction) and Lindsey (2024, Anthropic April Updates, SAE-feature direction vs naive random direction). The theoretical explanation for activation plateaus & sensitive direction may be error correction (also referred to as noise suppression): NNs in superposition should expect small amounts of noise in feature activations due to interference. (The exact properties depend on how computation happens in superposition, this toy...

Want to dig into the data around recent trends in sales management? Join this episode for Cory and Andy's discussion. 

In this episode, Gastronomica's Jaclyn Rohel talks with Dr. Anne E. McBride and Dr. Tara Scully about how climate change is impacting restaurants, the focus of their collaboration on a new report from the James Beard Foundation and the Global Food Institute, The Climate Reality for Independent Restaurants: A Deep Dive into the Supply Chain and New Economic Realities. Anne and Tara share some of the key research insights and discuss how the James Beard Foundation is mobilizing this knowledge to support chefs, engage lawmakers, and advocate for sustainable food policies and conservation programs. Bringing together food systems research and advocacy, they shed light on the role of chefs in helping to advance climate solutions and highlight how to take action. Dr. Anne E. McBride is Vice President of Programs at the James Beard Foundation. Dr. Tara Scully is Director of Curriculum Development at the Global Food Institute at The George Washington University.Gastronomica is Powered by Simplecast.

New research from MSD Ireland has revealed insights into public perceptions of healthcare in Ireland now and into the future, with a renewed perspective and focus on younger adults and those labelled 'GenZ'. The research is a continuation of the MSD Ireland 'My Healthcare, My Future' series, which began in 2016 and explores populational insights under the lens of four core pillars of investigation, including My Personal Health, My Health Service, My Access, and My Digital Health. The research revealed surprising insights into the dynamic between the wider population and those who fit within the GenZ age category between 18 and 25, potentially challenging common perceptions that younger people in 2024 are more health-savvy than previous generations. According to the new research, there is agreement across all age groups surveyed that GenZ is the demographic that the Irish healthcare system is least equipped to manage. When it comes to digital health, 61% of the general population said that they would research their symptoms or the symptoms of family members online first before they visit their pharmacist or GP, with 57% believing that the appropriate use of technology can improve existing healthcare services. Nearly one-third (29%) of Irish adults have used YouTube in the past 12 months for health information, while over one-third (37%) of younger adults have used TikTok in the same period for health information. Unfortunately, over one-third (33%) have been somewhat impacted negatively by information they've seen on social media, rising to 39% among young adults. There has also been a rise in the use of wearable devices, with 37% saying that the use of wearable devices to track key healthcare data, such as a fitness watch, has helped them to make key decisions about health. David Jones, Director of Oncology at MSD Ireland: "At MSD, we believe our most important contribution is making a difference. We take a patient-centric approach, continuously innovating to benefit patients, healthcare providers, and the wider healthcare landscape in Ireland. This year's 'My Healthcare, My Future: Next Gen Health' report highlights the urgent need for tailored strategies to address GenZ's unique health challenges. Listening to and incorporating young people's opinions into healthcare decision-making is crucial. Reflecting on our past findings, it's evident that technology and credible online health information will continue to play a vital role in healthcare. It is important to acknowledge the extraordinary work undertaken by all individuals involved with delivering healthcare services and while the report highlights some growing levels of pessimism, there are also several opportunities across all populations where stakeholders, including MSD, can engage on to create a system which reflects what people expect from a healthcare system in Ireland."

Podcast: (CS)²AI Podcast Show: Control System Cyber SecurityEpisode: 109: Teaser for the CNI Research Report with Chase RichardsonPub date: 2024-05-14We are delighted to have Chase Richardson, the VP of Consulting at Bridewell, back on the show today. Bridewell boasts a rich history in industrials, offering comprehensive cybersecurity services across the entire cybersecurity spectrum, including operating technology. Recently, Bridewell came up with an insightful report on cybersecurity within the US critical infrastructure. In this episode, Chase dives into the current state of cybersecurity regulations in critical infrastructure and shares the details and origin of the upcoming Bridewell report, which falls squarely within the interest of CSAI. Tune in to learn more about this exciting project.Show highlights:How the attacks experienced by CISOs and cyber managers have decreased despite an increase in risk sentiment The challenges small and mid-sized airports face when implementing regulations due to their limited cybersecurity budgetsHow cybersecurity regulations in the US differ from those in the UKWhat is the link between IT and OT security?Why it is essential to implement a hybrid of IT and OT security measures to protect critical infrastructureWhy organizations need to comply with relevant cybersecurity standards and regulationsChase shares key findings and insights from Bridewell's upcoming cybersecurity report for critical infrastructure.Links and resources:(CS)²AI Derek Harp on LinkedInBridewellChase Richardson on LinkedInThe podcast and artwork embedded on this page are from Derek Harp, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Podcast: (CS)²AI Podcast Show: Control System Cyber SecurityEpisode: 109: Teaser for the CNI Research Report with Chase RichardsonPub date: 2024-05-14We are delighted to have Chase Richardson, the VP of Consulting at Bridewell, back on the show today. Bridewell boasts a rich history in industrials, offering comprehensive cybersecurity services across the entire cybersecurity spectrum, including operating technology. Recently, Bridewell came up with an insightful report on cybersecurity within the US critical infrastructure. In this episode, Chase dives into the current state of cybersecurity regulations in critical infrastructure and shares the details and origin of the upcoming Bridewell report, which falls squarely within the interest of CSAI. Tune in to learn more about this exciting project.Show highlights:How the attacks experienced by CISOs and cyber managers have decreased despite an increase in risk sentiment The challenges small and mid-sized airports face when implementing regulations due to their limited cybersecurity budgetsHow cybersecurity regulations in the US differ from those in the UKWhat is the link between IT and OT security?Why it is essential to implement a hybrid of IT and OT security measures to protect critical infrastructureWhy organizations need to comply with relevant cybersecurity standards and regulationsChase shares key findings and insights from Bridewell's upcoming cybersecurity report for critical infrastructure.Links and resources:(CS)²AI Derek Harp on LinkedInBridewellChase Richardson on LinkedInThe podcast and artwork embedded on this page are from Derek Harp, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

This week Patrick Gray and Adam Boileau along special guest Lina Lau discuss the week's news, including: The ongoing Ascension healthcare disruption, and Whether its reasonable for healthcare orgs to be pushing back Platforming cybercriminals for interviews Own the libs by… not using E2EE messaging? CISA's secure by design, we want to believe! The $64billion scale of indusrialised fraud And much, much more. This week's sponsor is network discovery specialist, Run Zero. Director of research Rob King joins to talk about the weird and wonderful delights in their new Research Report. Show notes Federal agencies assisting Catholic health network amid cyberattack After Ascension ransomware attack, feds issue alert on Black Basta group As White House preps new cyber rules for healthcare, Neuberger says backlash is unwarranted Stolen children's health records posted online in extortion bid Guidance for organisations considering payment in... - NCSC.GOV.UK How Did Authorities Identify the Alleged Lockbit Boss? – Krebs on Security In interview, LockbitSupp says authorities outed the wrong guy A (Strange) Interview With the Russian-Military-Linked Hackers Targeting US Water Utilities | WIRED UK 'increasingly concerned' about Russian intelligence links to hacktivists Civil society under increasing threats from ‘malicious' state cyber actors, US Elon Musk Weighs in on the Encryption Wars Between Telegram and Signal Encrypted services Apple, Proton and Wire helped Spanish police identify activist | TechCrunch Christie's Website Offline For A Fifth Day And The Company Is Still Silent On The Extent Of Last Week's Security Breach 68 tech, security vendors commit to secure-by-design practices | Cybersecurity Dive UK government urges caution over blaming China for Ministry of Defence breach Black Basta group spam-bombs victims and then calls to help Southeast Asian scam syndicates stealing $64 billion annually, researchers find The $2.3 Billion Tornado Cash Case Is a Pivotal Moment for Crypto Privacy | WIRED ADVANCED APT EMULATION LABS

We are delighted to have Chase Richardson, the VP of Consulting at Bridewell, back on the show today. Bridewell boasts a rich history in industrials, offering comprehensive cybersecurity services across the entire cybersecurity spectrum, including operating technology. Recently, Bridewell came up with an insightful report on cybersecurity within the US critical infrastructure. In this episode, Chase dives into the current state of cybersecurity regulations in critical infrastructure and shares the details and origin of the upcoming Bridewell report, which falls squarely within the interest of CSAI. Tune in to learn more about this exciting project.Show highlights:How the attacks experienced by CISOs and cyber managers have decreased despite an increase in risk sentiment The challenges small and mid-sized airports face when implementing regulations due to their limited cybersecurity budgetsHow cybersecurity regulations in the US differ from those in the UKWhat is the link between IT and OT security?Why it is essential to implement a hybrid of IT and OT security measures to protect critical infrastructureWhy organizations need to comply with relevant cybersecurity standards and regulationsChase shares key findings and insights from Bridewell's upcoming cybersecurity report for critical infrastructure.Links and resources:(CS)²AI Derek Harp on LinkedInBridewellChase Richardson on LinkedIn

As promised, here is the completion of my examination of David Barton's whitewashing of Thomas Jefferson. In our book Getting Jefferson Right: Fact-Checking Claims About Thomas Jefferson, Michael Coulter and I assume the position held by most scholars and the Thomas Jefferson Foundation when it comes to the paternity of Sally Hemings children, i.e., Thomas Jefferson was their father. In The Jefferson Lies, David Barton deceives readers about what Madison Hemings said about his mother. Here is what Barton said Hemings told a Pike County (OH) newspaper in 1873."The other major oral tradition challenging Jefferson's sexual morality came from Sally Hemings' son Madison (the fourth Hemings child, born in 1805). In an article published in an Ohio newspaper in 1873, Madison Hemings claimed that in France “my mother became Mr. Jefferson's concubine, and when he was called back home she was enceinte [pregnant] by him” with Thomas Woodson."Here is what Madison Hemings actually had published in that newspaper:"But during that time my mother became Mr. Jefferson's concubine, and when he was called home she was enciente by him. He desired to bring my mother back to Virginia with him but she demurred. She was just beginning to understand the French language well, and in France she was free, while if she returned to Virginia she would be re-enslaved. So she refused to return with him. To induce her to do so he promised her extraordinary privileges, and made a solemn pledge that her children should be freed at the age of twenty-one years. In consequence of his promises, on which she implicitly relied, she returned with him to Virginia. Soon after their arrival, she gave birth to a child, of whom Thomas Jefferson was the father. It lived but a short time. She gave birth to four others, and Jefferson was the father of all of them. Their names were Beverly, Harriet, Madison (myself), and Eston—three sons and one daughter. We all became free agreeably to the treaty entered into by our parents before we were born. We all married and have raised families."Hemings did not mention Woodson because he was irrelevant. Sally Hemings first child lived but "a short time." Barton didn't tell his readers that part of the story.The Monticello website on Sally Hemings and Thomas Jefferson: https://www.monticello.org/thomas-jefferson/jefferson-slavery/thomas-jefferson-and-sally-hemings-a-brief-account/Research Report: https://www.monticello.org/thomas-jefferson/jefferson-slavery/thomas-jefferson-and-sally-hemings-a-brief-account/research-report-on-jefferson-and-hemings/SHOW NOTES:For more information about Getting Jefferson Right, go to gettingjeffersonright.com.  The closing song is Were You There by LoFi Hymnal. https://open.spotify.com/track/19oJxhr6efnpU7LVBzUQz2?si=c94873948db84fbdBackground music by Jonathan Swaim, Roman Candle, and Warren ThrockmortonThe series will conclude during the final week of April with an episode on the virtues of the separation of church and state.  Watch for additional episodes between now and then.  If you like the pod, leave a positive review. 

Kade Brown from RMIT Online and Rhiannon Yetsenga from Deloitte Access Economics discuss their latest research on the skills landscape in Australia. The ‘Ready, Set, Upskill' report was released in March 2024. We explore the nuances and contradictions in the data about key skills gaps in Australia, prioritisation and investment in skills by organisations, and the employee blind spot in the need to develop gen AI skills. Discover the four key ways that organisations can maximise their learning and development spend. Hosted by Michelle Ockers Transcript and related resources: https://learninguncut.global/podcast/elevate-31/ Podcast information and more episodes: https://learninguncut.global/podcast/

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: Research report: meta-analysis on sexual violence prevention programs, published by Seth Ariel Green on March 25, 2024 on The Effective Altruism Forum. This post summarizes a new paper: Preventing Sexual Violence - A Behavioral Problem Without a Behaviorally-Informed Solution, on which we are coauthors along with Roni Porat, Ana P. Gantman, and Elizabeth Levy Paluck. The vast majority of papers try to change ideas about sexual violence and are relatively successful at that. However, on the most crucial outcomes - perpetration and victimization - the primary prevention literature has not yet found its footing. We argue that the field should take a much more behavioralist approach and focus on the environmental and structural determinants of violence. The literature as a whole We surveyed papers written between 1986 and 2018 and found 224 manuscripts describing 298 studies, from which we coded 499 distinct point estimates. We looked specifically at primary prevention efforts, which aim to prevent violence before it happens. This is in contrast to secondary prevention, which, per the CDC, comprises "[i]mmediate responses after sexual violence has occurred to deal with the short-term consequences of violence." We also didn't meta-analyze studies where an impact on sexual violence was a secondary or unanticipated consequence of, e.g. giving cash to women unconditionally or opening adult entertainment establishments. We also didn't look at anything that tries to reduce violence by focusing on the behavior of potential victims, e.g. self-defense classes or "sexually assertive communication training." We also didn't look at especially high-risk populations, like people who are incarcerated or sex workers. Here are some graphical overviews: Here is the distribution of studies over time, with three "zeitgeist" programs highlighted. Three zeitgeists programs We highlight three "pioneering and influential programs" that "represent the prevalent approaches to sexual violence prevention in a particular period of time." The first is Safe Dates (Foshee et al. 1996), which "makes use of multiple strategies, including a play performed by students, a poster contest, and a ten-session curriculum." The core idea is that "perpetration and victimization may be decreased by changing dating abuse norms and gender stereotypes, and improving students' interpersonal skills including positive communication, anger management and conflict resolution." The second is the Men's Program (Foubert, Tatum & Donahue 2006), which aims to prevent sexual violence by men by increasing their empathy and support for victims of sexual violence, and by reducing their resistance to violence prevention programs. E.g.: Participants in the program watched a 15-minute dramatization of a male police officer who was raped by two other men, and then dealt with the aftermath of the assault. Trained peer educators then told the participants that the perpetrators were heterosexual and known to the victim, and attempted to draw connections between the male police officer's experience and common sexual violence experiences among women. Participants were then taught strategies for supporting a rape survivor; definitions of consent; and strategies for intervening when a peer jokes about rape or disrespects women, and in situations where a rape may occur. The third is Bringing in the Bystander (Banyard, Moynihan, & Plante 2007), which puts helping others in danger and speaking up against sexist ideas (i.e., "bystanding") at the center of the intervention. As a result, the target behavior change is moved from decreasing perpetration behavior to increasing bystander behavior. The intervention is aimed not at men as potential perpetrators and women as potential victims but everyone as a potential person who can intervene and stop s...

This episode is available as a podcast on "Let's Talk Loyalty" and in video as www.Loyalty.TV. Today's episode features research from our friends in Epsilon, who have been focused discovering the underlying factors that are truly driving UK consumers loyalty in 2024. The result is “Epsilon Loyalty Index” (UK edition) which was created to support loyalty marketers in the UK looking to find new and innovative ways of building loyalty with their customers. Joining me today to share her insights on the Epsilon Loyalty Index is Senior Vice President of Business Development Epsilon UK, Maria Giacobbe. Listen to enjoy our conversation about her insights on how to drive customer loyalty in the UK in 2024! Show notes: 1) “⁠Epsilon Loyalty Index⁠” (UK edition) 2) Epsilon 3) Maria Giacobbe 4) Loyalty Connect Dubai 2024 5) Watch the full interview at www.Loyalty.TV

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: Research Report: Sparse Autoencoders find only 9/180 board state features in OthelloGPT, published by Robert AIZI on March 5, 2024 on LessWrong. Abstract A sparse autoencoder is a neural network architecture that has recently gained popularity as a technique to find interpretable features in language models ( Cunningham et al, Anthropic's Bricken et al). We train a sparse autoencoder on OthelloGPT, a language model trained on transcripts of the board game Othello, which has been shown to contain a linear representation of the board state, findable by supervised probes. The sparse autoencoder finds 9 features which serve as high-accuracy classifiers of the board state, out of 180 findable with supervised probes (and 192 possible piece/position combinations). Across random seeds, the autoencoder repeatedly finds "simpler" features concentrated on the center of the board and the corners. This demonstrates that current techniques for sparse autoencoders may fail to find a large majority of the interesting, interpretable features in a language model. Introduction There has been a recent flurry of research activity around Sparse Autoencoders for Dictionary Learning, a new approach to finding interpretable features in language models and potentially "solving superposition" ( Sharkey et al, Anthropic's Bricken et al, Cunningham et al.). But while this technique can find features which are interpretable, it is not yet clear if sparse autoencoders can find particular features of interest (e.g., features relevant to reducing AI risk). This research report seeks to answer the question of whether sparse autoencoders can find a set of a-priori existing, interesting, and interpretable features in the OthelloGPT language model. OthelloGPT, as the name suggests, is a language model trained on transcripts of the board game Othello to predict legal moves, but was found to also linearly encode the current board state ( Nanda, Hazineh et al). That is, for each of the 64 board positions, there were "board-state features" (linear mappings from the residual stream to R^3) that classify the state at that position between [is empty] vs [has active-player's piece] vs [has enemy's piece], and these board-state features can be found by the supervised training of a linear probe. These board-state features are an exciting testbed for sparse autoencoders because they represent a set of "called-shot" features we hope to find, and which are extremely interpretable and correspond to natural human thinking[1]. If the sparse autoencoder can find these features, this is some evidence that they will find relevant and important features in language models. Conversely, if the sparse autoencoders can't find these features, that indicates a limitation of the method, and provides a test case where we can adjust our training methods until we can find them. Overview Here we: Train an OthelloGPT model from scratch Train a linear probe to classify the board states (replicating Hazineh et al) from an intermediate layer of OthelloGPT. Train a sparse autoencoder on the same layer of OthelloGPT Assess whether the features found by the sparse autoencoder include the linear encoding of the current board state that the linear probe is able to find. Retrain the sparse autoencoder with different random seeds, and analyze which features are found. Methods Training OthelloGPT We first trained an OthelloGPT model from scratch, following the approach of Li et al. Our model is a 25M parameter, 8-layer, decoder-only transformer, with residual stream dimension d_model=512 (identical to Li et al's model). It is trained to do next-token-prediction of random transcripts of Othello games, with each possible move being encoded as a separate token, resulting in a vocabulary size of 66 (64 from the positions on the boards, plus 2 speci...

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: Rationality Research Report: Towards 10x OODA Looping?, published by Raemon on February 24, 2024 on LessWrong. 6 months ago I wrote Feedbackloop-first Rationality. I didn't followup on it for awhile (except for sporadic Deliberate ("Purposeful?") Practice Club). I just spent 6 weeks actually exploring "how would I build my own cognition training program?". In the process of doing so, I've iterated a bunch. I'm still in an orienting phase, but it seemed worth writing down the current stage of my thoughts. What's my goal? A rough overview: I want to get more, higher quality "X-risk thinker hours" hours. This includes AI alignment technical research, AI macrostrategy research, policy, governance, as well as people (such as Lightcone team) deciding which infrastructure to build, I'm particularly interested in getting more "serial research", as opposed to more "parallel research." We can throw more researchers at a problem, but if there are some problems that require one person to synthesize 10+ years of experience, all the parallel research won't help. An obvious way to improve researcher hours is "via mentorship", but I think there is a mentorship bottleneck. So, I'm interested in strategies that train tacit cognitive skills that either don't require mentorship, or leveraging expertise from outside the current x-risk ecosystem. This is all parented under the higher level goal of "contribute meaningfully to x-risk reduction", but it feels relevant/meaty enough to be worth running at this goal for awhile. "Rationality for the sake of existential risk" A part of me romantically wants to pursue "rationality training for rationality training's sake." Alas, the world is big and my time is limited and I just can't actually justify putting years of effort into something, if I didn't think it would help with x-risk. CFAR went through a phase where (some leaders) framed things as: "Rationality, for the sake of rationality, for the sake of existential risk." i.e. try to earnestly build something rationality-focused for it's own sake, because that seemed both healthier and better for x-risk than "rationality for the sake of x-risk", directly. I think this was a reasonable thing to try, but my impression is this didn't work that well. If you tell yourself (and your students) "I'm doing this for the sake of rationality itself", but then in practice you're getting people to delicately open up their soul and figure out their true goals... and all-the-while radiating "man I really hope your goals turn out to involve saving the worlds from AIs", that may fuck up the "earnestly try to figure out your goals" process. So: I am not here to help you earnestly figure out your goals. That's an important part of rationality, and it might come about incidentally while people do exercises I develop, but it's not what I'm focused on this year. I am here to develop and teach cognitive skills, which help you solve confusing problems at the edge of your ability. I'm doing this to push forward humanity's frontier of "how quickly can we do challenging research?", and strive towards 10x science. I will prioritize learning and teaching those skills to people who seem like they are going to help with x-risk somehow, but I aim to write up a lot of stuff publicly, and trying-where-possible to output exercises that other people can do on their own, for whatever reasons they want. (See Exercise: Solve "Thinking Physics" as an example) The Story So Far Feedback-loops and "deliberate practice", vs "Just Clicking" I just spent a month workshopping various "teaching rationality" plans. My initial ideas were framed around: Deliberate practice is costly and kinda sucks Therefore, people haven't invested in it much, as either "rationality training programs", or as an "alignment research training programs." Therefore,...

Research report season is here, and we're willing to bet your past ones drove zero demand. After reading over 100 B2B SaaS research reports, we've narrowed down the 7 key reasons why most are a complete waste of time and money. Join us this episode as we break each one of them down.What is the point of a research report? (1:38)Reason 1:  Scope of report is too broad (2:17)Why broad reports do more harm than good (2:59)Reason 2: Survey audience is not your ICP (6:31)Why more respondents doesn't equal a “better” research report (6:47)Why your survey audience must be your ICP to drive demand (8:16)Reason 3: Product > pain points (9:24)Reason 4: Using FOMO as a reason to buy your product (12:25)Why you can never guilt trip or peer pressure businesses into making a purchase (14:19)Reason 5: There's no analysis (aka it's just a data dump) (14:51)Why reports stuffed with stats are a red flag (15:31)What we mean by the “storyline” of your report (17:03)Reason 6: Poor analysis (19:30)What poor analysis often looks like in a report (20:43)Why marketers thinking they can do data analysis is a very serious issue (21:30)Reason 7: Inaccurate or confusing visualizations (24:04)Data visualization best practices (24:52)Resources:Webinar: 7 Reasons Why Your B2B Research Report Isn't Driving DemandConnect with the Hosts:Victoria Gamlen on LinkedInJeff Sirkin on LinkedIn

Dr. Mark Wood, Director of LCMS Witness and Outreach, Revitalization Meaningful Outreach Connection to Christ: Witnessing in Everyday Life LCMS Witness and Outreach LCMS Church Revitalization The post 0263. A New Pew Research Report on the Religous “Nones” – Dr. Mark Wood, 1/26/24 first appeared on Issues, Etc..

26th Sep: Crypto & Coffee at 8

Research lead Kevin Reid-Morris and Tom Gale discuss the insights, surprises and hopes for AI this 2023 research into artificial intelligence surfaced. We also map out five behaviors and supporting building blocks for distributor AI success, with comments from our research partners. 

We discussed the trends and issues we observed during the weeks that included July 23-August 15, 2023. The trends were observed from the resources we flipped into our Flipboard magazine.  Artificial Intelligence remained the top trend. As with our past episode, AI was so prevalent it was our top two trends. The first focus was on...

For our special Summer Listening series, we revisit some favorite listens: episodes that cover some of the most important, and current, issues in cyber. We'll begin with our conversation with Seán Doyle from September 2022. ISF CEO Steve Durbin speaks with Seán Doyle, Lead for the Centre for Cybersecurity at the World Economic Forum. They discuss the role of public-private partnerships in the current cyber landscape, the importance of running tabletop exercises to promote resilience, and improving cybersecurity legislation and regulation around the world to promote economic interests. Mentioned in this episode: Cybersecurity Technology Efficacy: Is cybersecurity the new 'market for lemons'? Research Report by Joe Hubback ISF Analyst Insight Podcast Read the transcript of this episode Subscribe to the ISF Podcast wherever you listen to podcasts Connect with us on LinkedIn and Twitter From the Information Security Forum, the leading authority on cyber, information security, and risk management

Known for their focus on providing quality educational experiences to adult learners, the University of Phoenix wanted to learn more and provide resources to another core group of enrolled students: Individuals with disabilities. In this episode of Honest HR, host Wendy Fong speaks with Kelly Hermann, Vice President of Accessibility, Equity & Inclusion at the University of Phoenix, to discuss:  Findings from the university's report on Workplace Accessibility - HR Professionals Accommodations for Employees' Disability's Research Report (2023)Action steps for HR professionals and people managers focused on creating more accessible and inclusive workplaces for employeesThe future of disability and accessibility inclusionComplete the SHRM Employing Abilities At Work CertificateEarn 0.5 SHRM PDC for listening to this podcast; all details provided in-episode.

What would you do with $1500 savings? Your choice of where you receive your PT can make the difference! Listen to Matt explain this month's Research Report from the JOSPT that covers data from past physical therapy patients and compares cost, duration of visits, and the overall savings on cost for those who chose to start their PT earlier or through Direct Access!Read the Article here: https://www.jospt.org/doi/10.2519/jospt.2018.7423Did you know that you don't need a doctor's prescription to receive physical therapy? The laws of Direct Access allow you to receive physical therapy without a referral and still use your insurance benefits! Learn more on how Direct Access can help YOU! Our website: https://www.oxfordphysicaltherapy.com/

In May of 2023, American Choral Directors dedicated an issue of their “Choral Journal” to Gender Inequity in Choral Music. The Research Report in this issue was penned by Dr. Melissa Baughman from the University of Oklahoma. In the article, she summarizes the current state of research on the topic of Women in Conducting careers. … Continue reading "Episode 153: Going Deeper on Gender Equity in Music Ed with Dr. Melissa Baughman"

SpaceX adds itself as co-defendant in an environmental lawsuit against the FAA. Rocket Lab, Stratolaunch, and Vast Space have all been named in court filings that divide Virgin Orbits assets. Arctic Space and One Web receive approval for Satellite Network Portal ground station in Sweden. Viasat and Inmarsat inch closer to merger, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our weekly intelligence roundup, Signals and Space, and you'll never miss a beat. And be sure to follow T-Minus on Twitter and LinkedIn. T-Minus Guest Steven Tomaszewski, Senior Director at Aerospace Industries Association, on national security space considerations and policy. You can connect with Steve on LinkedIn or Twitter and find out more about the Aerospace Industries Association on their website. Selected Reading SpaceX set to join FAA to fight environmental lawsuit that could delay Starship work- CNBC  Virgin Orbit sells assets in bankruptcy auction to Rocket Lab, Stratolaunch and Vast's Launcher- CNBC Arctic Space Technologies to support OneWeb's constellation with construction of hyperscale satellite ground station installation- One Web Iridium and OneWeb Confirm Success Post SpaceX Launch- Via Satellite Inmarsat Adds Free Wave Technologies as IoT Partner- Via Satellite L3HARRIS RECEIVES CONTRACT TO ADVANCE TECHNOLOGY FOR INTELLIGENCE COMMUNITY- L3Harris AFRL taps Ursa Major for hypersonic, space launch engines- Breaking Defense The Spaceport Company demonstrates offshore launch operations- SpaceNews Space Mining Market Technology Thriving to Touch USD 1.99 Billion by 2027, With a CAGR of 14.41% - New study Research Report by Market Research Future (MRFR)- Global Newswire Sending astronauts to Mars by 2040 is 'an audacious goal' but NASA is trying anyway- Space.com How NASA Plans to Melt the Moon—and Build on Mars- Wired Audience Survey We want to hear from you! Please complete our 4 question survey. It'll help us get better and deliver you the most mission-critical space intel every day. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © 2023 N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

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: A small update to the Sparse Coding interim research report, published by Lee Sharkey on April 30, 2023 on LessWrong. This is a linkpost to a set of slides containing an update to a project that was the subject of a previous post ([Interim research report] Taking features out of superposition with sparse autoencoders). The update is very small and scrappy. We haven't had much time to devote to this project since posting the Interim Research Report. TL;DR for the slides: We trained a minuscule language model (LM) (residual size = 16; 6 layers) and then trained sparse autoencoders on MLP activations (dimension = 64) from the third layer of that model. We found that, when we compared the 'ground truth feature recovery' plots, the plots for the toy data and LM data were much more similar than in the Interim Research Report. Very, very tentatively, we found the layer had somewhere between 512-1024 features. By labelling a subset of these features, we estimate there are roughly 600 easily labellable (monosemantic) features. For instance, we found a feature that activates for a period immediately after 'Mr', 'Mrs', or 'Dr'. We suspect that the reason the toy data and LM data plots had previously looked different was due to severely undertrained sparse autoencoders. We're hopeful that with more time to devote to this project we can confirm the results and apply the method to larger LMs. If it works, it would give us the ability to tell mechanistic stories about what goes on inside large LMs in terms of monosemantic features. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

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: A small update to the Sparse Coding interim research report, published by Lee Sharkey on April 30, 2023 on The AI Alignment Forum. This is a linkpost to a set of slides containing an update to a project that was the subject of a previous post ([Interim research report] Taking features out of superposition with sparse autoencoders). The update is very small and scrappy. We haven't had much time to devote to this project since posting the Interim Research Report. TL;DR for the slides: We trained a minuscule language model (LM) (residual size = 16; 6 layers) and then trained sparse autoencoders on MLP activations (dimension = 64) from the third layer of that model. We found that, when we compared the 'ground truth feature recovery' plots, the plots for the toy data and LM data were much more similar than in the Interim Research Report. Very, very tentatively, we found the layer had somewhere between 512-1024 features. By labelling a subset of these features, we estimate there are roughly 600 easily labellable (monosemantic) features. For instance, we found a feature that activates for a period immediately after 'Mr', 'Mrs', or 'Dr'. We suspect that the reason the toy data and LM data plots had previously looked different was due to severely undertrained sparse autoencoders. We're hopeful that with more time to devote to this project we can confirm the results and apply the method to larger LMs. If it works, it would give us the ability to tell mechanistic stories about what goes on inside large LMs in terms of monosemantic features. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

The argument being put forward is that SVB management was overly concerned with DE&I, ESG policies and sustainable finance, all of which distracted them from focusing on their core mission. Doug Morrow and his team disagree with this assessment. Here's why.

FAIR's director of research Spencer Raley talks about our latest study finding illegal immigration costs American taxpayers at least $151 BILLION annually!Read the report here:https://www.fairus.org/issue/publications-resources/fiscal-burden-illegal-immigration-united-states-taxpayers-2023 ★ Support this podcast ★

China Leads U.S. in Key Technology Research: ReportChina Warns Musk Over Wuhan Lab Funding CommentsApple Suppliers Eager to Leave China: ManufacturerSequoia Capital Asks National Security Experts to Screen China Tech InvestmentsChina to Compete with Elon Musk's StarlinkNo Birth, No Growth: China in Vicious CycleU.S. Falling Behind China in Shipbuilding but Surpassing in Military CapabilitiesU.S. Approves $619M Arms Sale to Taiwanthe God of China's Church Is Xi Jinping: Scharffs

China Leads US in Key Technology Research- Report

Michael McCloskey is the founder and president of GreensKeeper Asset Management. He is one of those rare-to-find people who has a flair for both numbers and writing. In fact, he has a BSc in mathematics, as well as both a JD and an MBA degree. Michael has worked as an investment banker and has a lot of experience in the securities industry. Today, he lives in Mississauga, Canada with his wife and two daughters.Michael McCloskey talks to Guy Spier about how he became a value investor and the principles he learned from Buffett and Munger along the way, such as sharing wisdom. He speaks fondly about family values and teaching, mentioning his alumni at GreensKeeper with particular joy. Michael then takes the listener through the research report on Visa he recently produced, while giving an insight into the whole credit cards and payment networks industry. Finally, he reflects upon his days of studying mathematics, as well as on the topic of writing books.Full transcript available here: https://aqfd.docsend.com/view/zbmpr7ckcys75i2k Contents:Who is Michael McCloskey? (00:00:00)The Connection to Berkshire Hathaway (00:05:29)Importance of Family (00:14:54)The GreensKeeper Alumni (00:24:49)A Research Report on Visa (00:30:52)Risks in the World of Payment Networks (00:45:18)Buy Now Pay Later Plans (01:08:55)A Detour About AmEx and Mastercard (01:22:38)What is Inspiring About Mathematics? (01:36:52)The Art of Writing Books (01:44:45)

In today's episode Aj brings on a special guest (Karen Jaw-Madson) Karen Jaw-Madson is principal of Co.-Design of Work Experience, author of Culture Your Culture: Innovating Experiences @ Work (Emerald Group Publishing, 2018), founder of Future of Work platform A New HR, executive coach, and instructor at Stanford University's Continuing Studies Program. She enables decision makers to address organizational challenges .In this episode they discuss a wide ranging discussion around all things Employee Experience along with a bit of content selling exploration! Hope you enjoy today's episode. Below is a bit of context on Karen I hope you will appreciate and enjoy! Thank you again Karen.  Links to impactful references:  The latest on the economy and jobs, their post said "Hiring in the U.S. continued to exceed expectations in November as employers added 263,000 jobs and wages jumped" https://www.nytimes.com/live/2022/12/02/business/jobs-report-november-economy?smtyp=cur&smid=tw-nytimes#jobs-report-november The Accenture Study which speaks to the perception gap between leaders and employees: https://www.accenture.com/_acnmedia/Thought-Leadership-Assets/PDF-2/Accenture-Getting-To-Equal-2020-Research-Report.pdf Links to Karen's books: Culture Your Culture: Innovating Experiences @ Work : https://amzn.to/3hE5Nwy Punk XL (Experience Leadership): https://amzn.to/3UQzsB5 The Secret Sauce For Leading Transformational Change: https://amzn.to/3UzoqAn Mobile Medicine: Overcoming People, Culture, and Governance: https://amzn.to/3E2bNa4 Advanced Health Technology: Managing Risk While Tackling Barriers to Rapid Acceleration https://amzn.to/3hxMi93

Treatment Centers Market 2022 Research Report with John LaRosaJohn LaRosa and Market Data Enterprises published the 3rd edition of the "The US Autism Treatment Centers Market" in September 2022. Biggest surprise in the findings? The market was much bigger than he anticipated at $4.1 billion in annual revenue (and even that is 'conservative'). Treasure trove of stats on our field in this episode. Enjoy, kind listener!ResourcesFind the report on Market Data Enterprises' website (both a summary and a full version)Sponsored by Element RCM

eResearch Corporation President and Director of Research Chris Thompson sits with Global One Media for an exclusive interview, where he talks about the recent update report that he made for the Canadian-based communication and marketing company DATA Communications Management Corp. (TSX: DCM | OTCQX: DCMDF). Chris highlights DCM's Q2/2022 results as well as their most recent estimates.

eResearch President and Director of Research Chris Thompson joins Global One Media for an exclusive interview. Chris talks about the recently published Initiation Equity Research Report by eResearch on Canadian mineral exploration company Kingsview Minerals Ltd (CSE: KVM | FSE: 0L4), specifically its key valuation drivers and key findings on their valuation of the company.