Podcasts about ishai

Anat Ishai, who was born in Israel but grew up in Canada, started baking braided Challah loaves in her Thornhill kitchen during the COVID pandemic to help her break out of the isolation of lockdown. She started posting social media videos of herself baking and dancing. Her moves, with snippets of Jewish pride and shots of her Orthodox Jewish lifestyle caught on. Today Ishai has a devoted following worldwide as “The Challah Mom”, with over 300,000 followers including on her Tik Tok, Instagram and Facebook accounts. Ishai is now based in Israel. She and her Canadian husband and their four children immigrated in 2023 just four weeks before Oct. 7. She's chosen to stay in the land of her birth, and rides out the conflict by keeping the war off her public platforms. Instead she channels faith and joy and ritual to help empower Jewish women. The CJN's North Star podcast host Ellin Bessner attended The Challah Mom's stop at Shaarei Tefillah synagogue in Toronto to learn the fascinating story of Ishai's personal journey: from a secular daughter of Russian Israeli immigrants to reconnecting with Orthodox Judaism and ultimately, teaching all kinds of women about the mitzvah of hafrashat challah. Related links Follow Anat Ishai at her website to get her challah recipe or on Instagram Anat Ishai appears in the new documentary “Sheitel” about why married Orthodox women choose to cover their hair with wigs, scarves, hats or a combination, on The CJN's North Star podcast. Anat Ishai sometimes wrote for the Times of Israel during the pandemic. Credits Host and writer: Ellin Bessner ( @ebessner ) Production team: Zachary Kauffman (senior producer), Izzie Helenchilde (producer), Michael Fraiman (executive producer), Alicia Richler (editorial director) Music: Bret Higgins Support our show Subscribe to The CJN newsletter Donate to The CJN (+ get a charitable tax receipt) Subscribe to North Star (Not sure how? Click here ) Watch our podcasts on YouTube. Help others find this podcast by leaving us a review for “North Star” on Apple Podcasts via your iPhone or iPad device, or with your Android. (Spotify allows only starred ratings but you can do that, too!)

Today, I'm speaking with Anat Ishai, otherwise known as the Challah Mom on Instagram. Anat is known for her challah dance parties both in her kitchen and on tours with communities around the world. Whether you are reveling in challah again after Pesach, are looking for inspiration to get back into the mitzvah, or just are learning about it for the first time, this episode is for you.You will not look at the mitzvah of challah the same way after hearing Anat speak. I completely fell in love with her in this episode — she is so well spoken and articulate and as you will hear, I was continuously blown away by her wisdom.In our conversation, we speak about:-Why she feels so connected to the mitzvah of challah and where it all began-How to reframe happiness as a goal in life and have a new perspective on what that word even means-Her journey making Aliyah and how her relationship with Hashem evolved through the process-How the act of making challah mimics reality — what we can learn from the entire experience and how we can bring more of ourselves into that experience-Messages to carry you from Pesach through the transition back into bread and the year ahead — not sure about you but it's always so weird to me to go from completely banning chametz to fully making challah again. Lots of beautiful gems here-How she models strength and perseverance in her home and connects with her children through mitzvot in a way that is authentic and doesn't wear her out…and SO much more.To get more from the Challah Mom, visit her below:@challah.mom on InstagramAnat Ishai on Facebookthechallahmom.com

Rabbi Pinchas Allouche, head Rabbi at Congregation Beth Tefillah in Scottsdale, and the host of the Rabbi Allouche podcast, joins Seth with special guest Yishai from the Israeli Defense Forces (IDF) for the full hour to talk about his recent service in The Gaza Strip and this week's Torah portion, coming from Genesis 40.Hello, I'm Rabbi Pinchas Allouche and welcome to another episode where we will be exploring a different idea from the Torah.  Join me, as we illuminate our modern world with ancient lessons from the Torah. If you enjoy this show, please show your support by subscribing to the podcast, and I hope you'll give us a 5-star rating, as it does so much to help grow this community. I welcome your feedback on this episode or any of the other podcasts at RabbiAllouchePodcast@gmail.com. Also, if you want to learn more, join me on Facebook and Youtube. 

Artificial intelligence may revolutionize the American economy, but whether we see that potential actualized depends on a few key factors: whether generative AI is a general purpose technology, whether the labor force makes a smooth pivot, how employers prioritize their resources, and whether the US chooses to take the lead in AI's deployment. These are just a few of the topics I cover on the podcast today with Guy Ben-Ishai.Ben-Ishai is the head of economic policy research at Google. He previously served as a principal at the Brattle Group and as chief economist in the office of the attorney general of the state of New York. He is also a co-author of the paper “AI and the Opportunity for Shared Prosperity: Lessons from the History of Technology and the Economy.”In This Episode* Is gen AI a general purpose tech? (1:22)* Risks and benefits (7:46)* Barriers to a boom (14:27)* Investing in employees (19:16)* Human-complimenting AI (25:29)Below is a lightly edited transcript of our conversationIs GenAI a general purpose tech? (1:22)Pethokoukis: Do you have any doubt that generative AI, and perhaps machine learning more broadly, is an important general purpose technology that will eventually make a substantial and measurable impact in the economic statistics and productivity and economic growth? Ben-Ishai; The immediate response is absolutely, but let me unpack that: Do I have doubts about the immense potential of the technology? No, and I'm saying that very confidently, which is uncommon for an economist. We put together the paper that you've initially cited at Google to look exactly at that question: When we say that AI marks a pivotal moment in human history, what does that actually mean for an economist? And I think the conclusion there that we're looking not in an ordinary technology, but rather at a general purpose technology, that is immense. That means that we're probably looking at the most transformative economic development of our generation. And to think, Jim, that the two of us are having a conversation about that today, that is historic. I feel incredibly privileged and lucky to think and work of these issues in our day and age.But the second part of your question alluded to not the potential, but actually the actual impact. And if there's one takeaway from that exercise from the paper that we put together and from my conversation with so many academics and policymakers around the world, is that this is not just a watershed moment, it's not just a pivotal moment in human history, it's a fragile moment as well. This story can easily be a story of missed opportunity. I think that we so easily take for granted the fact that, yes, we will of course develop AI and deploy it and apply it very successfully. And it's so easy to get caught in the moment, particularly as the nation that advanced the science, I think somewhere in the back of the minds of all of us, there's that presumption that we will be the global leaders in deployment of AI. I am actually worried about that. To ensure that we are, it's a tumultuous, fragile, and careful process that we've got to be really thoughtful about, with a lot of deliberate action about what we do, how do we proceed, and how do we ensure that we are indeed the ones that capitalize on the potential?It's remarkable how quickly the narrative around American tech has shifted. Not long ago, Silicon Valley faced criticism for focusing on social media rather than groundbreaking innovations like the Apollo program or cancer cures. Now, they've unveiled generative AI, potentially the most significant technology of our era.Regarding fragility, it's worth considering why AI might need special handling. Unlike the seamless diffusion of technologies like the internal combustion engine or electricity, AI seems more akin to nuclear power - a technology that was stifled by regulation. Do we need a proactive agenda to prevent AI's potential from being similarly constrained?That's a great question, Jim. I'm so tempted to go back to your first part of the question about the importance of digital technologies, and economists get a really bad rap, but try to be a librarian these days. We tend to overlook the tremendous importance of information as a driver of economic growth in our economies. And even if you look just at small businesses and the tremendous opportunities that digital technologies have provided them. To think that a mom and shop store today can actually run a marketing campaign, analyze its customer base on large databases, export products to far markets, those are things that used to be the exclusive domain of just a few large companies that today are actually available broadly and widely through digital technologies. And maybe it's the fault of economists that we are not shouting off the tops of mountains frequently enough about the tremendous power of information and digital technologies and the accumulation of knowledge as a driver of economic growth.The application of knowledge and intelligence — that seems to me to be pretty important.I cannot agree more! And I think, to a great degree, it explains some of the tremendous optimism around AI as a technology that really reduces the barriers to interact with technology and democratizes its use in a way that we haven't seen before.Risks and benefits (7:46)We quickly shifted from marveling at AI's potential to fixating on its risks — existential threats, job losses, and disinformation. But let's step back for a moment. Can you elaborate on why you see this as an exciting technology with significant benefits? It seems many people aren't fully aware of its upside potential.That's a great question, this is really the reason why we at Google, too, we paused for a minute and kind of wanted to think about this. We're at a sector where enthusiasm is in no short supply, so what does it actually mean when we say that this is a pivotal moment in human history? What does it mean for economists? I think it really boils down to this question of: Is AI an ordinary technology, or is it really a general purpose technology? That is the term of art that economists use, and I think it's actually important to pause for a minute and think about that, because it's critical. A general purpose technology is not just pervasive in use, it is a technology that enables productivity-enhancing applications to be applied across all segments and entire economies in ways that are not just advancing and accelerating economic growth, but are also expanding the frontier of innovation and technology. It's a source of ongoing and continual innovations.And if you think about it for a minute, if you think about the prior general purpose technologies that we've had, if it's electricity, if it's personal computers, or it's the steam engine, their impact was tremendous. And at the time that they were launched, I think nobody had the perfect vision of where . . . we of course knew where we started, in the very same way that we do today about AI, but it's really difficult, if not impossible, to know where we will end. The compounding nature of these technologies is immense, particularly when you're looking at a general use technology and multi-domain technology that can lead to applications on such a broad basis. I don't think that today we can envision what new occupations, new applications, new sectors will emerge as a result of AI. And I think the fact that it's not an ordinary technology, but rather a general purpose technology, that is important, that does imply that we're probably looking at the most profound economic transformation in our generation. That is huge.It's relatively straightforward to assess AI's ability to replicate current human tasks. But predicting the new possibilities it might unlock, like accelerating scientific discovery, is far more challenging. These potential upsides are difficult to quantify or model economically.While we can more easily grasp potential downsides like job automation (which isn't necessarily negative), the upsides are less tangible. They depend on entrepreneurs creating new businesses and scientists leveraging AI for breakthroughs. This makes it harder to definitively argue that the benefits will outweigh any drawbacks.Oh my God, Jim, I cannot agree more, and I think that there's two issues, and you have written about this just recently, and I think that there's really two issues that come up, at least in my mind, as a reaction to some of the studies that really focus on the measurement. We're trying to really drill this question of, “What will be the productivity gain from AI over the next five or 10 years?” I don't want to dismiss that question —And can you give it to me within three decimal points, right?Exactly! But we're doing such a huge disservice as economists when we focus on that. I think it really pertains to two reasons that you brought up. The first one relates to measurement. We are really looking, these studies are primarily based on occupational exposure of existing work streams. Little do we know today about what new work streams, occupations, tasks, creativity, or human endeavors will actually be triggered by this new technology. In a way, we're really just looking under a flashlight rather than thinking about the broader issue, the broader economic benefits that will emerge, kind of like the unknown unknowns that we know today about this technology.Just to put it in perspective, think about the printing press that led to a scientific revolution. Think about the steam engine that led to an industrial revolution, to an electronic circuit that led to the digital age. We are at that point with AI today, and to think that we're looking at SOC, standard occupational codes, to look at the future impact on productivity, I think minimizes the value of our profession.The other point that you touched on, which I think is so incredibly important: We're missing the point. It's really not about the third decimal point of our estimates. It's about the fact that we can reshape technology. Rather than measuring its benefit, let's actually make sure that we can capitalize on the potential. That is far more important than anything else. And at some point, we'll go back to your other question about fragility, but there are genuine barriers that we need to address collectively as a society. And if we are not going to do it, other countries will, right? And I think economists have a role in that conversation. I think that is the critical issue that we need to focus on.Barriers to a boom (14:27)We have a technology that seems, right now, it's fast evolving, but it seems pretty darn important. It's hard to believe that we've only really been having the specific conversation about generative AI for maybe a year and a half or so publicly. So what are the barriers? If this turns out not to be an important technology that's widely diffused throughout the American economy, what went wrong? What are the barriers that concern you?I think there are three main categories that we focus on. First and foremost, you need digital infrastructure. I think it's a misconception, and I think we will learn that very quickly over the next few years, that AI or digital infrastructure is limited to broadband. It is increasingly becoming more so about access to data, large data centers, and compute power. And I think not just the US, but many other countries, will realize, or are in the process of understanding very soon, that those are the type of investments that one needs to make in order to deploy the technology. That's one category.Another one is the regulatory environment and the legal standards. You know Jim, and this is something you've of course written about a lot, I don't think that no single country deliberately chooses to fall behind, and I think that we often fail to recognize the long-term impact and unintended consequences of regulations. We, of course, have a duty to protect, and there are areas that raise concern, but we have to balance that duty to protect with the desire to capitalize on the potential, to foster innovation, and to make sure, at the end of the day, that we emerge as the global leaders of this technology, that we lead its deployment. I think that the legal ecosystem is incredibly important in that respect and an important current dimension of competition between countries and the future over the deployment of AI.And the third one is our workforce readiness. We need a workforce transition strategy. Let me pause here for a minute. If our workforce is not ready for an AI transition, our employers and our companies would find it very difficult to actually implement and adopt AI. It's simple as that. And if our companies do not adopt AI applications or technologies, we will quickly find out that we will fall behind. If you're looking at the history of our labor markets, we have been not just resilient, consistently resilient in our institutions and labor market operations, but we've also been highly effective at transitioning individuals from low-productivity to high-productivity occupations.We used to be a primarily agrarian economy in the 19th century. We transitioned successfully to manufacturing, which at some point was about 27 percent of our workforce, now it's below 10 percent. From there, we switched on to services. We absorbed women into the workforce in an effective way. We have highly effective labor markets, which is a competitive advantage when we're thinking about global competition.At the very same time, it's not without a cost. And in a lot of ways, I do think that it can be a double-edged sword, because the competitiveness of our labor markets also implies, at least factually, that the relationships that we have between employer and employee tend to be less permanent than they are in other economies, and that implies that employers have less of an incentive to actually invest in employees. That may put us at a relative disadvantage compared to other countries that have longer relationships between employers and employees and can afford for actually employers to participate, to take part, whether it's through apprenticeships or training programs, in making sure that their workforce is ready for an AI transition. That, Jim, worries me. I think it's more than just making sure that individuals that may lose their job get reinstated in the workforce, it's really an economic strategic objective for us. Unless we take care of our workforce, we will find it exceedingly difficult to implement AI on an economy-wide basis.Investing in employees (19:16)While Washington isn't dictating data center construction, companies are investing heavily in this infrastructure. Shouldn't the same logic apply to workforce development? If understanding and working with AI technology is crucial for business survival, there's a strong private incentive to invest in employees' skills. This holds true even considering the unique structure of the American labor market compared to, say, Europe's.Let me pause for a minute, take it back one step so that we can think about why is investment in worker training and vocational programs are so difficult? Why are they so challenging, and why do they perhaps create externalities, the way that we just discussed, more broadly? Why are they ultimately a strategic concern for the US economy? So look, these programs are exceptionally difficult to get right in an ordinary course of business. And we at Google have invested a tremendous amount of resources on these programs, which are not a core product for us. They're not even a monetizable product for us. And we're not the only ones. A lot of other tech companies have done the same, to be honest.Now, what are the challenges with these programs? First and foremost, they have to be relevant and they have to provide education, skills, programs that are actually relevant, that keep up to date with the advancements in technology. That is something that's really difficult to do. You have to make sure that employers are actually buying in. We may have the best program, but unless it enables the individuals who graduated from the program to signal to employers that these are individuals with high qualifications because they went through a program, let's say at Google, the program is simply not going to work.And then the third thing, think about it from the employee perspective: For an individual, it's not about giving somebody a pamphlet, “Hey, let's participate in this great program.” It's really about, can you take time off, at a tremendous opportunity cost of time with your family, career, and work, to invest in a serious program that would end up in an outcome which actually lands you at a better career, more stable job, that is better paid. Those are tremendously difficult in the ordinary course of business, let alone when we're going through a transition where we don't even know today how tasks and occupations will evolve. Now, as I mentioned, private tech firms, because of also market expertise and access to occupational data that is far better, in a lot of ways, than what the government data that we have on occupations are perfectly positioned to carry out those programs. The question is whether they can be actually carried out independently, unilaterally, without the collaboration of federal agencies, whether it's local governments, state or federal, without the participation of employers, colleges and other institutions —It sounds to me like employers will have to be part of this.For sure. Jim, maybe let me just mention one thing that we don't want to do. We've been in this movie before. Following NAFTA (North American Free Trade Agreement), we had the trade adjustment programs where we invested a lot of money in rescaling and training employees, and the results were very minimal, at best. So I do think that this is the type of a grand challenge, if you will, that no single actor can really solve independently. And I know that we're naturally, as economists, we're naturally hesitant about government intervention, but what better role for a government can you think of other than identifying a market failure that is of strategic importance to the US economy, and in a thoughtful way, collaborating with other relevant constituents to come up with solutions that are effective. Scaling those programs to a national level is going to be a real challenge. And I do think that there's a role for governments to actually lead, in collaboration with other constituents, those efforts.And of course you are aware of the sort of deep skepticism among people about these programs.Yes.So obviously we talk about innovation, technological innovation, we also need program innovation, education innovation here.Jim, I've got to be perfectly honest here — and this is just my individual experience — as economists, I would be lying if I wouldn't say that I share that skepticism and concern. At the very same time, I think that we need to consider the other ramifications and what is truly an issue. We are at a certain disadvantage because of the lower incentives that our businesses have, our employers have, to invest in employees, and we see it. Apprenticeship programs is one example that is working phenomenally well in other places, but not in the US. So I do worry about that. In the paper, we didn't offer any descriptive solutions, but we really highlight the challenge here: How do we find market-based, thoughtful solutions to scaling and vocational programs so that our workforce can be ready for an AI transition?Human-complimenting AI (25:29)I'm skeptical of the idea that we can guide AI development through policy to ensure it complements rather than just automates human work. It's unclear what policy levers could effectively achieve this — tweaking the tax code seems unlikely to produce specific AI outcomes.But where we can make a difference is in human capital development. If we want AI that complements human skills and enables new business creation, we need to ensure people understand this technology. Currently, many don't, given its novelty. Focusing on education and skill development seems a more practical approach to shaping AI's impact.You know, Jim, it's really interesting, so Chris Pissarides, the Nobel Prize winner from London School of Economics, has a phenomenal paper about this question. He comes up with a very interesting finding that countries that actually invest in right regulatory environments and legal standards, that have the right infrastructure, that have the right environment to foster innovation, ultimately witness less concerns about substitution because the technology that's being advanced tends to be more complimentary, and as an economist, that makes a lot of sense to me.Let me pause for a minute and explain why: There is a genuine concern about whether AI is being deployed or used to substitute labor. And I think if you think about the Turing Trap that Eric Brynjolfsson has written about, this notion that you can come up with the most myopic, plug-and-play, cheapest AI application, put that in some individual function in your business, and replace existing work streams that are being done by humans, that is a genuine concern, particularly for firms that are looking for the highest rate of return, at the lowest cost, without really investing and transforming their business.As an economist, I can understand why that happens, but keep in mind that when that happens, those businesses are actually really failing to leverage and capitalize on the full potential of the technology. They're really going for the plug-and-play, cheapest applications. That's not good for labor because it leads to substitution. But certainly that's not good to the business, itself. In a competitive market—and I think one thing that we need to stress is the importance of competition in our markets—you'd anticipate that firms that actually go through the effort to invest, to reform, to transform their businesses, to reinvent themselves, are the ones that will prevail.And I would think that would be a very powerful lesson for other businesses if that is indeed the case, right?Exactly. And the question is, how can we promote this broader, more meaningful, more valuable application and adoption of AI? And I think it goes back to the fundamentals: You need the AI infrastructure, the right legal institutions and regulatory standards, and ultimately a workforce that is ready to transform. And I think once you put those together, I do believe (and I'm deliberately saying belief, because I don't know that we can really study this explicitly) that that will lead to more complementarity and augmentation, and less substitution.Historical precedent suggests that extreme job loss scenarios, like robots taking all jobs, are unlikely. While AI will undoubtedly cause disruption, do you believe it will follow the pattern of past technologies? That is, replacing some tasks, enhancing others, and creating entirely new job categories. Given the policies we've discussed, are you confident that this balanced outcome is achievable with AI, or do you have doubts?Oh my God, that's a tough question, Jim. You saved it for last.I'll add an addendum, I'll add a qualifier: within the next 20 years. I don't know what it'll look like in 100 years from now, but within our immediate lifetimes as workers, you and me.Let me address it in this way. Yes, absolutely, I am, I want to say, cautiously optimistic, because if we learned one thing from the last century, a period of time that reflects the most advanced technological progress in human history, is that we didn't witness an increase in unemployment and we didn't witness a decline in labor participation. That leads me to be optimistic about the future of AI as well. Having said that — I think you alluded to this — history doesn't always repeat itself, and we've never faced a technology that can automate such a wide range of human tasks and activities. So that should be concerning for us. We also should mention that, even if AI does not lead to mass unemployment or to net loss of jobs, there will be significant occupational and sectoral shifts if we get this right, which I am optimistic about us doing so. So that will be something that we will need to consider as well. So I would say, optimistic: absolutely. Cautiously optimistic: that's probably more correct.Faster, Please! is a reader-supported publication. 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Summary In this week's episode Anna and Kobi chat with Muthu Venkitasubramaniam and Carmit Hazay from Ligero. They discuss their work on MPC and ZK for the last 20 years and how the research has evolved. They then dive into a nuanced conversation on how MPC & ZK are interrelated. The discuss Ligero, what led to the project and the early phases, as well as the new Ligetron system and how they plan on getting this technology into the wild. Here's some additional links for this episode: Ligero Ligero: Lightweight Sublinear Arguments Without a Trusted Setup by Ames, Hazay, Ishai and Venkitasubramaniam Ligetron by Ligero Ligetron: Lightweight Scalable End-to-End Zero-Knowledge Proofs. Post-Quantum ZK-SNARKs on a Browser by Wang, Hazay and Venkitasubramaniam ℓ-Diversity: Privacy Beyond k-Anonymity by Machanavajjhala, Gehrke, Kifer and Venkitasubramaniam Efficient RSA Key Generation and Threshold Paillier in the Two-Party Setting by Hazay, Mikkelsen, Rabin, Toft and Nicolosi MeshCal.com Zero-Knowledge from Secure Multiparty Computation by Ishai, Kushilevitz, Ostrovsky and Sahai Introduction to MPC-in-the-Head by Carmit Hazay ZKBoo: Faster Zero-Knowledge for Boolean Circuits by Giacomelli, Madsen and Orlandi Episode 322: Definitions, Security and Sumcheck in ZK Systems with Justin Thaler Communication complexity of secure computation by Franklin and Yung ZK Hack Montreal has been announced for Aug 9 - 11! Apply to join the hackathon here. Aleo is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup. As Aleo is gearing up for their mainnet launch in Q1, this is an invitation to be part of a transformational ZK journey. Dive deeper and discover more about Aleo at http://aleo.org/ If you like what we do: Find all our links here! @ZeroKnowledge | Linktree Subscribe to our podcast newsletter Follow us on Twitter @zeroknowledgefm Join us on Telegram Catch us on YouTube

Pesach is over and that means one thing (besides laundry and dentist appointments) – challah! Whether we're making fresh new batches or enjoying the bakery's, challah takes on added appreciation the weeks after Pesach. On this DMC, Anat Ishai, A.K.A. The Challah Mom, shares with us even more ways to appreciate challah, in addition to eating it. Her insights about challah and life left us inspired and hungry for more! On this DMC we discuss: How Anat became “The Challah Mom” Anat's thoughts about the power of challah What challah has taught Anat about life Anat's aliyah journey We love hearing from our listeners. You can find Deep Meaningful Conversations on Facebook and Instagram, join our WhatsApp group https://chat.whatsapp.com/IjG33sXCYgFGJSdncnN4nX, and you can always email us at dmcthepodcast@gmail.com. Show notes: Anat's website: https://thechallahmom.com/about/ Sponsors:  DMC YEARLY SPONSOR: Town Appliance https://www.townappliance.com/ 1-866-309-8119 https://www.townappliance.com/pages/contact-us --- Support this podcast: https://podcasters.spotify.com/pod/show/dmcthepodcast/support

In this week's episode, Anna (https://twitter.com/annarrose) and Kobi (https://twitter.com/kobigurk) chat with Gal Arnon (https://galarnon42.github.io/), Ph.D student from the Weizmann Institute of Science (https://weizmann.ac.il/pages/) & Giacomo Fenzi (https://twitter.com/GiacomoFenzi), Ph.D. student in the COMPSEC Lab (https://compsec.epfl.ch/) at EPFL (https://epfl.ch/). Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries' (https://eprint.iacr.org/2024/390) and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance. Here's some additional links for this episode: FRIDA: Data Availability Sampling from FRI by Hall-Andersen, Simkin and Wagner (https://eprint.iacr.org/2024/248.pdf) Lattice-Based Polynomial Commitments: Towards Asymptotic and Concrete Efficiency by Fenzi, Moghaddas and Nguyen (https://eprint.iacr.org/2023/846.pdf) DEEP-FRI: Sampling Outside the Box Improves Soundness by Ben-Sasson, Goldberg, Kopparty and Saraf (https://eprint.iacr.org/2019/336.pdf) Proximity Gaps for Reed–Solomon Codes by Ben-Sasson, Carmon, Ishai, Kopparty and Saraf (https://eprint.iacr.org/2020/654.pdf) IOPs with Inverse Polynomial Soundness Error by Arnon, Chiesa and Yogev (https://eprint.iacr.org/2023/1062.pdf) Episode 293: Exploring Security of ZK Systems with Nethermind's Michał & Albert (https://zeroknowledge.fm/293-2/) Circle STARKs by Haböck, Levit and Papini (https://eprint.iacr.org/2024/278.pdf) Episode 304: Exploring FRI, LogUp and using M31 for STARKs with Ulrich Haböck (https://zeroknowledge.fm/304-2/) FRI-Binius: Improved Polynomial Commitments for Binary Towers (https://www.ulvetanna.io/news/fri-binius) The next ZK Hack IRL is happening May 17-19 in Kraków, apply to join now at zkkrakow.com (https://www.zkkrakow.com/) Aleo (http://aleo.org/) is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup. Dive deeper and discover more about Aleo at http://aleo.org/ (http://aleo.org/) If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (https://zeroknowledge.fm/)

Escucha la maravillosa explicacion de la letra Bet - ב.

As we sat down with Reut Ben-Ishai, a school counselor from Petuel, we were struck by the palpable strength in her voice. With her husband and brother serving in the IDF, she embodies the spirit of an entire community living under the shadow of conflict, yet she shines with faith in Hashem and living for a purpose. In this episode, we explore the struggles of the wives of Israeli soldiers who light Shabbat candles with trembling hands, as they pray for the soldier's safety. As Reut shares, the individual stories of struggle are interwoven with a larger narrative of unity and hope. Join us as we embrace these lessons of unity and Emunah and the strong spirit of the Jewish nation striving toward Moshiach.Support the show

Happy Holidays! The members of the CCO Nation have been *naughty* this year, so John is getting his debut on Commander Cookout Media Group with an extra special holiday gift: cEDH Stax with Humility! Want all the best control, stax and value options that Esper has to offer in cEDH with a unique twist on a combo finish? Check out this week's episode for the gift that keeps on giving!This week's decklist is on Moxfield: https://www.moxfield.com/decks/8Wc55TejEEytB9SjTQA8ng00:00 Introduction 03:01 Creatures are Good Now04:18 The Trouble with Being Humble (Part I)07:06 I'm Just Esper-Curious09:02 The Trouble with Being Humble (Part II)10:38 If I Start Calling It "My Precious" Please Send Help12:29 Mulligans and Opening Lines16:51 Closing ThoughtsThank you to our sponsors, Fusion Gaming Online. They're your source for all of your gaming needs. You can find them here: https://www.FusionGamingOnline.com. Want a 5% discount off all of your MTG order? Head over to Fusion Gaming Online and use exclusive promo code: CCOSUMMER at checkout. For a limited time, you can also use promo code CCOPERKS to get 10% of your order credited back to your account, when you spend $100CAD, or more.Want your deck or topic featured on Commander Cookout? Check out the reward tiers at https://www.Patreon.com/CCOPodcast. There are a lot of fun and unique benefits to pledging. Like the CCO Discord or getting your deck featured on the show.Our theme song is "Lonely Satellite" by Bio Unit licensed via Creative Commons Find us on Twitter at @gemstoneminemtgReach us via email at gemstoneminepodcast@gmail.comSocial media:https://www.CommanderCookout.comhttps://www.Instagram.com/CommanderCookouthttps://www.Facebook.com/CCOPodcast@CCOPodcast and @CCOBrando on Twitterhttps://www.Patreon.com/CCOPodcasthttps://ko-fi.com/commandercookoutThis show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/6006388/advertisement

What a wonderful story this episodes displays of a family that has come together in the interest of not only continuing a legacy but also for sharing a passion of the very thing that kept them together.  Honey.  Josh and Shoshana Zeldner have a unique story to tell about how their interest in continuing the education about honey that their father started with his wife, their mother Amina, was brought to life after he had passed.  Amina Zeldner reflects on the origin of the business, the intense desire Ishai had to spread the word of the new varietals in honey and how the children literally returned to the business after leaving for careers of their own.  Listen as you discover the bond this family has and how it came to support the creation of something their father had only dreamt of. Learn more about The Hive by visiting https://zspecialtyfood.com/meet-the-team/

2 Hours of Inspiring sounds from the boiling middle east.  

In this week's episode, host Anna Rose (https://twitter.com/annarrose) and co-host Kobi Gurkan (https://twitter.com/kobigurk) chat with Alex Evans (https://twitter.com/alexhevans) and Guillermo Angeris (https://twitter.com/GuilleAngeris) about their new research paper on Succinct Proofs in Linear Algebra (https://angeris.github.io/papers/zk-linalg.pdf). The paper introduces a framework that simplifies the construction of succinct proofs and offers a toolkit of useful techniques. Their conversation also covers the use of randomized reductions in zero-knowledge proofs, the security of the FRI protocol, and the potential applications of the framework in other systems. Here's some additional links for this episode: *Papers [Succinct Proofs in Linear Algebra by Evans and Angeris](https://angeris.github.io/papers/zk-linalg.pdf Algebraic Reductions of Knowledge by Kothapalli and Parno (https://eprint.iacr.org/2022/009) Proximity Testing with Logarithmic Randomness by Diamond and Posen (https://eprint.iacr.org/2023/630) Ligero: Lightweight Sublinear Arguments Without a Trusted Setup by Ames, Hazay, Ishai and Venkitasubramaniam (https://acmccs.github.io/papers/p2087-amesA.pdf) Sumcheck Arguments and their Applications by Bootle, Chiesa and Sotiraki (https://eprint.iacr.org/2021/333.pdf) Proofs, Arguments, and Zero-Knowledge by Thaler (https://people.cs.georgetown.edu/jthaler/ProofsArgsAndZK.html) Stephen Boyd Papers (https://web.stanford.edu/~boyd/papers.html) *Other links Episode 140: Staking derivatives & DeFi with Alex Evans (and Tarun!) (https://zeroknowledge.fm/140-2/) Episode 206: Distilling DeFi Primitives with Guillermo, Alex and Tarun (https://zeroknowledge.fm/206-2/) Episode 271: Between Two ZK Events with Nico and Guillermo (https://zeroknowledge.fm/271-2/) Episode 282: Error Correcting Codes & Information Theory with Ron Rothblum (https://zeroknowledge.fm/282-2/) Episode 293: Exploring Security of ZK Systems with Nethermind's Michał & Albert (https://zeroknowledge.fm/293-2/) ZK Hack Discord (https://discord.gg/ghsKvMfP) ZK Whiteboard Sessions (https://zkhack.dev/whiteboard/) Applications are now open to attend zkHack Istanbul - Nov 10-12! Apply here: https://www.zkistanbul.com/ (https://www.zkistanbul.com/) Aleo (http://aleo.org/) is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup. As Aleo is gearing up for their mainnet launch in Q4, this is an invitation to be part of a transformational ZK journey. Dive deeper and discover more about Aleo at aleo.org (http://aleo.org/) If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (https://zeroknowledge.fm/)

On the latest episode of Two Think Minimum, TPI President and Senior Fellow Scott Wallsten and Senior Fellow Sarah Oh Lam interviewed Google's Head of Economic Policy Research, Dr. Guy Ben-Ishai, about the impact of artificial intelligence (AI) on economic performance and policy. They delve into AI's impacts on productivity and how the technology's economic benefits will be distributed.

Israel's trees are blooming with flowers and you can hear people wishing each other a chag sameach in Hebrew... or happy holiday (in English). It is a joyful time of season. I have a special episode for you all about Shavuot. It's a Jewish holiday which commemorates the time that the Jewish people received the ten commandments from G-d. Anat Ishai is a special woman from Toronto, now living in Israel. She tells us how she celebrates this underrepresented holiday. Anat Ishai is also known as the Challah Mom on social media and has around 120K followers on Instagram and 33K on tiktok. Ishai teaches people about Judaism through baking and preparing delicious items for the table, but I also found her to be a wealth of knowledge regarding the history of our traditions and she even gave me some ideas for new ones that I can bring into my home for this holiday. This interview was originally live on instragram on the israel daily dot news instagram page and has been adopted for your ear here on the israel daily news podcast.  --- Support this podcast: https://podcasters.spotify.com/pod/show/israeldailynews/support

In today's episode, Anna Rose (https://twitter.com/annarrose) and Nico Mohnblatt (https://twitter.com/nico_mnbl) interview Srinath Setty (https://twitter.com/srinathtv), Principal Researcher at Microsoft Research (https://twitter.com/msftresearch) and author of notable works such as Spartan, Nova, SuperNova, and HyperNova. This discussion covers Setty's early work and how this led to him working on SNARKs, folding schemes and sumcheck protocols, as well as his views on the future trajectory of the ZK space. Given the current chatter around Nova-style accumulation schemes, this interview offers a chance to explore the perspective of a key contributor behind these developments. Here's some additional links for this episode: Pepper Project Publications (https://www.pepper-project.org/publications.htm) Depot: Cloud storage with minimal trust by Mahajan, Setty, Lee, Clement, Alvisi, Dahlin, and Walfish (https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/depot-osdi10.pdf) Resolving the conflict between generality and plausibility in verified computation by Setty, Braun, Vu, Blumberg, Parno, and Walfish (https://eprint.iacr.org/2012/622.pdf) Proving the correct execution of concurrent services in zero-knowledge (extended version) by Setty, Angel, Gupta and Lee (https://eprint.iacr.org/2018/907.pdf) Replicated state machines without replicated execution by Lee, Nikitin and Setty (https://eprint.iacr.org/2020/195.pdf) Quadratic Span Programs and Succinct NIZKs without PCPs by Gennaro, Gentry, Parno and Raykova (https://eprint.iacr.org/2012/215.pdf) Pinocchio: Nearly Practical Verifiable Computation by Parno, Howell, Gentry and Raykova (https://eprint.iacr.org/2013/279.pdf) Incrementally Verifiable Computation or Proofs of Knowledge Imply Time/Space Efficiency by Valiant (https://iacr.org/archive/tcc2008/49480001/49480001.pdf) Succinct Non-Interactive Arguments via Linear Interactive Proofs by Bitansky, Chiesa, Ishai, Ostrovsky and Paneth (https://eprint.iacr.org/2012/718.pdf) Open VDF: Accelerating the Nova SNARK-based VDF Article (https://medium.com/supranational/open-vdf-accelerating-the-nova-snark-based-vdf-2d00737029bd) Episode 274: SNARKs: A Trilogy with Ariel Gabizon (https://zeroknowledge.fm/274-2/) ZK Study Club: Supernova Srinath Setty - MS Research (https://www.youtube.com/watch?v=ilrvqajkrYY) Check out the ZK Jobs Board here: ZK Jobs (https://jobsboard.zeroknowledge.fm/). Find your next job working in ZK! Zero-knowledge is changing the world and until now, building ZK applications meant learning new, chain-specific languages and complex cryptography. But no more! With SnarkyJS, the easiest to use zk SDK, developers can add the magic of zk to their apps using TypeScript! Whether you're targeting Mina (https://minaprotocol.com/), the leading zk-native blockchain, or off-chain applications, SnarkyJS from O(1) Labs (https://o1labs.org/) has you covered. With support for infinite recursion, in-browser proving, and so much more, the full power of zk is available to everyone. Visit snarkyjs.o1labs.org (snarkyjs.o1labs.org) to get started. If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (https://zeroknowledge.fm/)

Visiting & Living in Jerusalem 

Listen to Chanale on SpotifyJoin The Weekly Squeeze WhatsApp Chathttps://chat.whatsapp.com/I7fhs9clBTi3Vc9SJv2yxUThis episode is sponsored by OKclarity.comFind a wellness professional:https://okclarity.comJoin OKCLARITY as a wellness professional:https://www.topjewishtherapists.com/welcomeJoin the WhatsApp status/group:917-426-1495.https://api.whatsapp.com/send?phone=19174261495&text=Hey!%20I'd%20like%20to%20join%20OKclarity%20on%20WhatsApp.%20(TWSP)Follow Enat Ishai aka Challah Mom on Instagram https://www.instagram.com/challah.mom/https://twitter.com/Chanalemusic