Podcasts about dao

Can Aavegotchi DAO takeover the project, the State of Pixels, and the rise of open source in the agentic era. [00:35] Aavegotchi dev Pixelcraft is one of the OG web3 gaming studios.[05:16] It's looking to hand over control of Aavegotchi to the DAO.[06:28] DAOs haven't been successful for reasons like coordination and authority.[07:25] It's a nice vision, but the reality is Pixelcraft ran out of money. [08:01] By 1st September, the DAO has to have decided what's happening going forward. [09:16] Why “gamey games” are harder to hand over to communities or DAOs.[09:55] State of Pixels. It's sustainable but not growing.11:30 Pixels is now considering adding open-source elements. [12:05] AI significantly changes what community developers can build in blockchain games.[13:50] The emerging pattern is surviving web3 games are moving to APIs, MCPs and agent access.[15:15] Why blockchain and AI fit together culturally and technically.[19:05] Define “game games” versus “non-game games”.[20:49] Why blockchain games should focus less on moment-to-moment fun and more on meta. [23:30] EVE Frontier, MapleStory and Soccerverse as examples of meta-focused web3 games. [25:25] These games have emergent experiences. They don't require constant content updates. [28:30] Don't put things onchain to create value. Put existing value onchain so it can be realized.[32:40] Community-built Soccerverse fantasy football as a sign of where this goes next.[35:05] The first 10 years of blockchain gaming were about discovering what didn't work.[35:40] AI plus blockchain will enable things the traditional games industry won't build.[37:06] Why agents will become native players for blockchain games. [38:20] The future split: Mario-like gameplay games versus agent-filled systemic web3 worlds.

On the Evolving Wellness podcast, host Sarah Kleiner interviews returning guest Steve about seasonal allergies, histamine intolerance, and MCAS, emphasizing that the root problem is often loss of immune tolerance driven by gut dysbiosis, leaky gut, and Th1/Th2 imbalance from factors like antibiotics, PPIs, stress, mold, and environmental changes. They contrast symptom tools—antihistamines that block histamine receptors and herbs like quercetin/ginger that stabilize mast cells—with approaches aimed at lowering IgE formation and retraining gut–immune “crosstalk.” Steve describes postbiotics and beta-glucans as “tolerization rehab,” highlighting his product HoloImmune (heat-killed strains) and butyrate (TriButyrin-X) for gut lining and mast cell support, plus DAO enzymes for dietary histamine. They discuss safety, dosing, avoiding live probiotics during flares, and examples including motion sickness, bug-bite welts, and a child's post-viral hives.— GUT HEALTH:  Healthy Gut Supplements- discount automatically applied: Holoimmune: https://healthygut.com/holoimmune-now/?rstr=811&coupon_code=Sarah15 Holozyme Link: https://healthygut.com/holozyme-now/?rstr=811&coupon_code=Sarah15 HCL Guard Link: https://healthygut.com/hcl-guard-now/?rstr=811&coupon_code=Sarah15 Tributyrin X: https://healthygut.com/tributyrin-x-now/?rstr=811&coupon_code=Sarah15 Magnesium: https://healthygut.com/magnesiumhp-now/?rstr=811&coupon_code=Sarah15 _________Sponsored By:→ VivaRays | This episode is sponsored by VivaRays - VivaRays Blue - code YOGI https://vivarays.com/→ Bon Charge | Go to https://boncharge.com/products/demi-red-light-device?rfsn=8108115.26608d & use code SARAHKLEINER for 15% off storewide._________Timestamp:00:00 Coming Up01:02 Podcast Intro Disclaimer02:15 Spring Allergies Setup05:05 Loss Of Tolerance08:02 Why Symptoms Worsen10:25 How Antihistamines Work11:59 Mast Cell Stabilizers14:20 Rewiring With Postbiotics16:20 Red Light Sponsor Break17:59 MCAS Pepcid Bridge22:11 Gut Healing Without Probiotics25:45 Blue Blockers Sponsor Break27:12 Mold And Individual Variance29:57 Antibiotics Farm Effect31:39 Dead Bugs Vs Probiotics32:40 Live vs Dead Probiotics33:25 Immune Software Updates35:28 Strawberry Hives Story36:40 Allergy Medicine Toolkit37:25 DAO Enzyme Explained40:05 Springtime Support Stack40:48 Root Causes and Triggers42:38 Immune Rehab and Tolerance45:56 How to Start Dosing49:11 Coaching Over AI51:47 Antihistamines and Acid Blockers53:56 How Long to Take It56:35 Leaky Gut and Butyrate57:39 Hidden Histamine Symptoms58:29 Motion Sickness and Bug Welts01:00:17 Wrap Up and Resources——— This video is not medical advice & as a supporter to you and your health journey - I encourage you to monitor your labs and work with a professional!________________________________________Get all my free guides and product recommendations to get started on your journey!https://www.sarahkleinerwellness.com/all-free-resourcesCheck out all my courses to understand how to improve your mitochondrial health & experience long lasting health! (Use code PODCAST to save 10%) -  https://www.sarahkleinerwellness.com/coursesMy free product guide with all product recommendations and discount codes:https://www.canva.com/design/DAF7mlgZpJI/xVyE4tiQFEWJmh_Xwx8Kbw/view?utm_content=DAF7mlgZpJIFree Webinar on Light & Health (includes free light bulb guide) - https://www.sarahkleinerwellness.com/mycircadianapp-free-webinarGet Early Access to Podcast Episodes & my Seasonal Food Course + UVB+Red Light Therapy course for free -  https://open.substack.com/pub/sarahkleinerwellness/p/uvbred-light-protocol?r=5eztl9&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

If you've been following a low-histamine diet for months and still reacting, this episode is going to reframe everything. Most histamine protocols treat this as a food supply problem. Avoid the aged cheese, take the DAO enzyme, cut the fermented foods. But for women whose symptoms track with their cycle, flare before their period, or seem to be getting worse despite all the right interventions, the food list is never going to be enough. We go deep into the work of Dr. Ray Peat, biologist and physiologist, to make the case that histamine excess in women is fundamentally a hormonal and metabolic problem. Estrogen directly multiplies mast cells and activates them to release histamine. Progesterone stabilizes them. Thyroid function governs the entire hormonal environment. And a gut producing endotoxin feeds back into estrogen production in ways that keep the whole cycle running. We cover: Why estrogen is the primary upstream driver of histamine excess in women The estrogen-histamine feedback loop and why it intensifies around your period What thyroid function has to do with histamine and why it's almost never addressed Why seed oils and low-carb approaches may be worsening the problem The gut-endotoxin-estrogen connection The heavy metal and liver piece that changed everything for me personally What Peat actually recommended, and what to bring to your provider Resources → PUORI | Go to https://puori.com/HEALINGTHESOURCE and use the code HEALINGTHESOURCE at checkout to get 32% off your first Puori Grass-fed Whey Protein subscription order and get a free shaker worth $25. Follow the host, Claudia, on Instagram, check out Elham's Liquid Gold 100% Organic Castor Oil, and enjoy her deep-dives on Substack My hormone supports: Raena discount code: HEALINGTHESOURCE10 -Thyroid test -Full hormone test -Dessicated thyroid -Progesterone cream -Sheep thymus My favorite salt: Vera Salt discount code: CLAUDIA

In this episode of the IRH Clinician's Corner, we're presenting a special panel discussion from our recent Clinical Success Showcase event in January. Host Kristin Whitaker is joined by a powerhouse panel of master practitioners as they break down what histamine intolerance really means, why symptoms like skin issues, gut problems, brain fog, and anxiety are showing up more frequently in practice, and how the world around us might be fueling this trend. You'll learn the spectrum of histamine-related disorders, the known drivers behind these conditions—from chronic infections and toxic exposures to hormonal swings and even trauma—and, most importantly, practical, foundational strategies to help calm symptoms, restore balance, and support your clients or yourself. In this interview, we discuss:   The critical role mast cells and histamine play in immune function, inflammation, and symptom development. How to recognize the often-overlooked symptom patterns associated with histamine intolerance and mast cell activation. Why these conditions are becoming increasingly common and the environmental and lifestyle factors that may be contributing. The powerful relationship between histamine, estrogen, and hormone-related symptom flares throughout a woman's cycle. The most common root causes driving histamine-related symptoms Practical tools for calming the histamine response, supporting recovery, and helping clients expand their diets with confidence. The Clinician's Corner is brought to you by the Institute of Restorative Health. Follow us: https://www.instagram.com/instituteofrestorativehealth/   This episode is brought to you by the Clinical Success Showcase, happening June 1–4 from the Institute of Restorative Health.  Join practitioners from across the industry for four free days of real clinical case studies, expert panels, and practical conversations designed to help you think more systematically and confidently in practice. From pediatric eczema and mood concerns to male hormones, complex chronic cases, and optimizing outcomes for clients on GLP-1 therapies, each session is built around real-world application you can actually use with clients. The Clinical Success Showcase is proudly brought to you by LeadCalculators, Evexia Diagnostics, MRT: A Superior Approach to Managing Diet-Induced Inflammation, and BetterBloodTest.com.  Register free and save your spot today. Timestamps:  00:00 Preview of histamine intolerance panel 09:22 Discussing oncology nutrition certification 14:17 Understanding symptom increase factors 20:25 Discussing mysterious symptoms and triggers 23:14 Understanding histamine intolerance 27:42 Balancing complexity and simplicity in health 33:28 Chronic inflammation and hormones discussion 40:06 Explaining the histamine bucket analogy 45:22 Managing food sensitivities and fear 54:18 Discussing antihistamine trial periods 59:02 Knowing when to refer clients 01:01:23 Advice for new health practitioners 01:10:05 Managing Histamine Intolerance Symptoms 01:14:01 Discussing mast cell stabilizers 01:17:47 Engaging with the panel discussion Speaker bios:  Ellen Lovelace, MPH, FNTP, MRHP is a Master Restorative Health Practitioner and faculty member at the Institute of Restorative Health who brings nearly 20 years of experience in public health and functional nutrition. Sara Fields, FNTP, MRHP is a Master Restorative Health Practitioner and faculty member at the Institute of Restorative Health who specializes in gut health, fertility, and helping clients uncover the root causes of chronic health concerns. Min Kim, NTP, MRHP is a Master Restorative Health Practitioner who helps clients uncover root causes, interpret complex health patterns, and create practical nutrition strategies that support long-term wellness. Keywords:  Clinician's Corner, functional health, histamine intolerance, mast cell activation syndrome, MCAS, mast cell disorders, root causes, gut health, autoimmune conditions, mental health, sleep issues, hormone fluctuations, perimenopause, menopause, estrogen dominance, chronic inflammation, mold exposure, long covid, chronic infections, GI MAP test, Dutch Test, MRT food sensitivity test, DAO enzymes, low histamine diet, antihistamines, H1 blockers, H2 blockers, nervous system support, dietary strategies, trauma and health, client intake forms Disclaimer: The views expressed in the IRH Clinician's Corner series are those of the individual speakers and interviewees, and do not necessarily reflect the views of the Institute of Restorative Health, LLC. The Institute of Restorative Health, LLC does not specifically endorse or approve of any of the information or opinions expressed in the IRH Clinician's Corner series. The information and opinions expressed in the IRH Clinician's Corner series are for educational purposes only and should not be construed as medical advice. If you have any medical concerns, please consult with a qualified healthcare professional. The Institute of Restorative Health, LLC is not liable for any damages or injuries that may result from the use of the information or opinions expressed in the IRH Clinician's Corner series. By viewing or listening to this information, you agree to hold the Institute of Restorative Health, LLC harmless from any and all claims, demands, and causes of action arising out of or in connection with your participation. Thank you for your understanding.  

Have you done all the right things and still spent two weeks a month feeling like a completely different, much less pleasant person? I get it.Most PMS and PMDD conversations stop at estrogen and progesterone. But if you're still dealing with mood swings, brain fog, or symptoms that show up around ovulation, too, there's a piece nobody's named for you yet. It's histamine. And before you say, "I don't have allergies" - that's not what we're talking about here. In this episode, I'm walking you through why histamine can be a very real driver of your hormonal symptoms, why it tends to spike at two specific points in your cycle, and what's actually going on underneath that your body has been trying to flag.You'll learn:The estrogen-histamine feedback loop that makes symptoms spike at two points in your cycle, including mid-cycle, when you're supposed to feel goodThe specific signs that point to histamine as a contributing factor in your PMS/ PMDD Why supplements like DAO enzyme or Quercetin can help temporarily, and what the real question is that nobody's askingIf histamine has never once crossed your mind as a reason you feel terrible two weeks out of the month - buckle up, because this episode is about to make a lot of things click.And if you're currently tracking your basal body temperatures and your PMS is still not where you want it to be, I have something for a few of you at the end of this episode. Stay all the way through, you'll want to hear it.Breakfast GuideNourish Tracker - Discount code: HAPPILYHORMONALBook a FREE Hormone Strategy Call with meGrab your Happily Hormonal Quick Start GuideNEED HELP FIXING YOUR HORMONES?Hormone Imbalance Quiz - Find out which of the top 3 hormone imbalances affects you most!Join Nourish Your Hormones Coaching for the step-by-step and my eyes on YOUR hormones for the next 4 monthsSend us a text with episode feedback or ideas! (We can't respond to texts unless you include contact info but always read them)Don't forget to subscribe, share this episode, and leave a review. Your support helps us reach more women looking for answers.Disclaimer: Nothing in this podcast is to be taken as medical advice, please take informed accountability and speak to your provider before making changes to your health routine.This podcast is for women and moms to learn how to balance hormones naturally in motherhood, to have pain-free periods, increased fertility, to decrease PMS mood swings, and to increase energy without restrictive diet plans. You'll learn how to balance blood sugar, increase progesterone naturally, understand the root cause of estrogen dominance, irregular periods, PCOS, insulin resistance, hormonal acne, post birth-control syndrome, and conceive naturally. We use a pro-metabolic, whole food, root cause approach to functional women's health and focus on truly holistic health and mind-body connection.If you listen to any of the following shows, we're sure you'll like ours too! Pursuit of Wellness with Mari Llewellyn, Culture Apothecary with Alex Clark, Found My Fitness with Rhonda Patrick, Just Ingredients Podcast, Wellness Mama, The Dr Josh Axe Show, Are You Menstrual Podcast, The Model Health Show, Grounded Wellness By Primally Pure, Be Well By Kelly Leveque, The Freely Rooted Podcast with Kori Meloy, Simple Farmhouse Life with Lisa Bass

Wadoozie is a narrative-driven, on-chain attention network built on Ethereum, pairing a native ERC-20 token ($WADZ) with a real-world 48-state U.S. tour, 576 Signal Fragments redeemable for tokens (336 hidden across the 48 states, 240 in an online pool), and a Publishers Network that pays creators directly from a dedicated 7% of total supply.This episode features two guests from the Wadoozie team. The project is led by Mr. Wadoozie, Senior Internet Architect Engineer of Software, who brings more than a decade of experience in the cryptocurrency industry. He is joined on this episode by Tay, Operations Manager, who has a background in marketing and management and has run operations for multiple crypto projects.The token launches with a roughly one billion effective supply (two billion minted, 999,999,999 burned at launch), 0% buy/sell tax, a DAO-governed locked liquidity pool, and a renounced contract — every parameter publicly verifiable on Etherscan and audited by CertiK.At the center is Wadoozie himself: a returning signal that takes a character's form, traveling the country by tour bus to “activate” each state as a node in a fractured cultural network the mythology calls The Feed. The mission is structured as eight narrative Acts opening with the Austin Flagship and closing back in New Orleans, with seven Flagship cities — Austin, Los Angeles, Las Vegas, Chicago, NYC, Miami, and Nashville — anchoring the arc across roughly four and a half months. After the 48 states wrap, the network expands to Europe.About Our GuestsMr. Wadoozie is the Senior Internet Architect Engineer of Software on the project, with more than a decade of experience in the cryptocurrency industry. He sits at the center of the mission — the returning signal that takes a character's form, traveling the country by tour bus to activate each U.S. state as a node in a fractured cultural network the mythology calls The Feed.Tay is the Operations Manager at Wadoozie, with a background in marketing and management and prior operations experience across multiple crypto projects. Tay runs the @wadoozie X account and sets the public voice of the mission as the network activates one state at a time. On this episode Tay represents the operational side of the project — the people moving the bus, dropping the Signal Fragments, and building out the Publishers Network across the 48-state route.To learn more about the project visit Wadoozie.com, and follow the team on X, Telegram or Discord.

Đạo giáo và các nguyên lý của nó đã ra đời hơn ba ngàn năm, nhưng giá trị và khả năng ứng dụng thì đến nay vẫn còn nguyên vẹn. Trong “Sức mạnh của Đạo – 7 nguyên lý giúp đạt trạng thái dòng chảy tối ưu” (The Power of the Dao), tác giả Max Landsberg sẽ cho chúng ta thấy cách vận dụng các nguyên lý chủ chốt của Đạo giáo trong công việc và cuộc sống để đạt được hiệu quả tốt nhất.Support the showBạn có thể tìm đọc thêm trên các trang:- Hạt Giống Tâm Hồn- First News- Fanpage FirstNews- Fanpge Hạt Giống Tâm Hồn- Fanpage Muôn Kiếp Nhân Sinh

A bi-weekly news show informing you on the latest in Bitcoin, privacy and open source tech hosted by Ungovernables, Max and Q. AOBAll aboard the vibe trainFTF with Max TQ got some holidays coming upKeonne appealNEWSBisq v1 trade protocol exploit: 11.59 BTC drained, fully reimbursed, hardening shipped in 1.10.0 (bisq.community PSA, Bisq on X, reimbursement plan on GitHub)Disclosed: 2026-05-01Bisq's v1 trade protocol had a missing validation check on taker-side input. Because maker and taker were supposed to use the same miner fee, a malicious taker could push a bad fee value through the transaction math and shrink the multisig output to 0.001 BTC while sweeping the rest into the taker's change. Attacker drained 11.59 BTC from 10 users, all on altcoin trades. Maintainer Henrik Jannsen filed a reimbursement plan on GitHub on May 3, payouts in BTC (with BSQ as optional), DAO vote scheduled around May 25. The hotfix landed as Bisq 1.10.0 on 2026-05-16 with broader hardening: trade protocol checks, network message validation, release verification, supply-chain hardening. The Bisq team explicitly flagged the incident as a likely AI-assisted exploit, though they did not detail how AI was used.Sterlingov Appeal: The Criminalization of Privacy (therage.co)Published: 2026-05-12The appellate court reviewing Roman Sterlingov's Bitcoin Fog conviction openly suggested that mixers remain "legal in theory but not practice" once criminals use them. Judges questioned whether running an internationally accessible service forces compliance with every jurisdiction's licensing regime.Pro-law-enforcement CLARITY Act advances out of Senate Banking (therage.co)Published: 2026-05-15The Digital Asset Market Clarity Act passed committee with expanded surveillance provisions: Bank Secrecy Act integration sixteen times over, new PATRIOT Act special measures. Privacy advocates flagged the breadth of data collection on Americans who haven't done anything.CVE-2024-52911 disclosed in Bitcoin Optech #405, fix has been in Bitcoin Core 29.0+ since release (https://bitcoinops.org/en/newsletters/2026/05/15/)Published: 2026-05-05Use-after-free in parallel script validation between Bitcoin Core 0.14.0 and 28.x. Required attacker-supplied proof-of-work, so practical attack window was narrow, but the bug sat unannounced across many versions.Bitcoin Knots 29.3 enables BIP-110, fork-off countdown started (release notes) + Lopp's countdownPublished: 2026-05-09 (release)Knots 29.3 ships RDTS soft-fork enforcement on by default. Nodes running Knots with this flag set will fork off the network in August unless they change behaviour. Lopp set up a countdown.Bybit exploit post-mortem (Blockstream): enterprise multisig + hardware wallets did not save them (blog.blockstream.com)Published: 2026-05 (week of 5-12)$1.5B drained despite multisig and hardware. Failure was process, not key custody, a UI / signing-flow compromise.Poland passes EU MiCA-aligned crypto bill while Zondacrypto fraud probe deepens (bitcoinmagazine.com)Published: 2026-05-15Polish lawmakers ratified the MiCA framework ahead of the July EU deadline. The vote landed alongside an investigation into Zondacrypto's collapse, roughly $96M of user losses, with Prime Minister Tusk floating possible foreign-influence angles.Claude helps retrieve lost 5BTCX user 'CPRKRN' has Claude check over whole file system and match a wallet file to an old passwordSpiral and Block ship Loupe, an AI-powered vulnerability scanner for open-source Bitcoin (spiralbtc.substack.com)Published: 2026-05-12Uses LLMS to surface security weaknesses in code repositories and requires demonstrable test cases for any vulnerability report so false positives are minimised. Spiral and Block are funding scans themselves; reports go to maintainers confidentially before any public disclosure.RELEASESBitcoin Core 31.0 (release index entry) — 2026-05-12Operator review required before production rollout. Major version landing.Bitcoin Knots v29.3.knots20260508 — 2026-05-09RDTS soft-fork enforcement on by default, fork-off risk in August. New configuration changes, bug fixes.Core Lightning v26.06rc1 — 2026-05-12Adds graceful command for clean shutdown, new sendamount RPC, BOLT12 payer-proof support, plus 211 commits since v26.04.Bitkey App 2026.9.1 — 2026-05-15Security patch from Block.Trezor Suite v26.5.1 — 2026-05-15Legacy labeling migration, WalletConnect insufficient-balance warnings, side-by-side trade comparisons, new DeFi Tokens section.BitBoxApp v4.51.0 — 2026-05-12Bundles BitBox02 firmware v9.26.1, address formatting in 4-char groups, iOS haptic feedback on charts, account-summary perf.Ledger Live Desktop 4.4.0 — 2026-05-13Hardens Live App handling of external-protocol URLs (itms-apps:, ms-word:, file:, etc.) across Chromium navigation vectors.Ledger Live Mobile 4.4.0 — 2026-05-13Adds an addresses section to asset detail screens, device-card management menus with removal confirmations.Bull Bitcoin Mobile v6.10.1 — 2026-05-18Onboarding redirect fix on wallet creation failure.Bull Bitcoin Mobile v6.10.0 — 2026-05-11Major release: Ledger hardware-wallet integration, FSS hybrid storage strategy, real-time WebSocket notifications, new onboarding wizard, Payjoin privacy enhancements, 11 new translations.Bull Bitcoin Mobile v6.9.101-Internal-Release (display name v6.9.108-Internal) — 2026-05-09Pre-6.10.0 testing build, Android migration / startup wizard / secure storage fixes.Bitcoin Safe 2.0.0rc0 — 2026-05-17Comprehensive redesign of the wallet setup wizard, added support for Coldcard mk5 and Trezor 7, plugin architecture via external repos, fiat-balance category column.Sparrow Frigate 1.5.0 — 2026-05-14Low-latency mempool ingestion via Bitcoin Core's ZMQ sequence publisher, auto-discovers the bitcoind ZMQ endpoint when unconfigured. Useful for operators running Sparrow Frigate alongside Core.Blockstream Green iOS release_5.4.0 — 2026-05-11Aggregate fiat balance across all wallet assets, updated Send flow for Lightning, migrates Lightning backend from Breez to Greenlight (Blockstream's own LSP).Blockstream Green Android release_5.4.0 — 2026-05-08Same redesign as iOS: aggregate fiat balance, redesigned Send flow (recipient → asset → account), transaction pagination, also the Breez-to-Greenlight migration.Blockstream Green Desktop 3.3.0 — 2026-05-06Total fiat balance in wallet header, AMP ID exposed in settings, GDK 0.77.3, Qt 6.11.0, Wayland fixes.Peach Bitcoin 0.69.0 (build 346) — 2026-05-06Signature validation for backed-up payment details, encrypts custom refund addresses, removes invalid backed-up data.Peach Bitcoin 0.69.0 (build 345) — 2026-05-05Percentage filtering on offers, encrypted server backup syncing for payment methods, advanced offer-creation options, GrapheneOS camera-permission fix, Buy Offer creation restricted to experienced users.ZEUS v13.0.2-rc3 — 2026-05-18Third RC for 13.0.2. New RGS server at rgs.zeusln.com providing graph updates every 15 minutes instead of every three hours. Clipboard and NFC UX improvements.ZEUS v13.0.1 — 2026-05-07Stable release: fixes recovering Embedded LND wallets from seed (was stalling out), payment retry logic, false-positive offline detection. Cashu token sweeping to self-custody continues to land.Alby Hub v1.22.2 "Marc Horowitz" — 2026-05-11Adds Core Lightning support (their most-requested feature), new AI & Agents page, integrated on-chain wallet mode, custom transaction labels, redesigned settings, improved budget selection for app connections.Boltz Backend 3.13.0 — 2026-05-08Full Arkade swap support, EVM commitment-swap lockup flow, multi-LND support in backend and sidecar.Boltz Client 2.12.0 — 2026-05-12Final removal of the GDK wallet library.Arkade arkd v0.9.5 — 2026-05-11Client-lib wallet interface updates, breaking-changes documentation, single-key wallet signing fixes.Arkade TS SDK v0.4.25 — 2026-05-07Maintenance bump for the Arkade JavaScript SDK.NodeGuard 0.24.2 — 2026-05-14Fixes invoice-expiry calculation in rebalance flows. Check logs if rebalance operations have been timing out.ThunderHub v0.18.3 — 2026-05-15Bug-fix release in the 0.18.x line. (Subsequent 0.18.1-0.18.3 are CI/docker polish after the headline 0.18.0.)ThunderHub v0.18.0 — 2026-05-05Adds Taproot Assets support to the dashboard. The actual show story for ThunderHub this fortnight.Blink Mobile 2.4.44 — 2026-05-06Upgrades protobufjs (CVE-2026-41242 mitigation). Security patch.Fedimint SDK canary release — 2026-05-14React Native transport fix, persistent callback, RPC payload flattening. Canary channel.umbrelOS 1.7.3 — 2026-05-12DirtyFrag security patches: CVE-2026-43284 + CVE-2026-43500 in the Linux kernel. Mandatory.umbrelOS 1.7.2 — 2026-05-05CopyFail patch: CVE-2026-31431 in the Linux kernel. Mandatory.Tails 7.7.3 — 2026-05-12Emergency release: critical Linux kernel CVE fix (kernel 6.12.86 ships the Dirty Frag fix), plus Tor Browser and Tor client security fixes.Whirlpool Observer…

●プロフィール 税理士事務所を経営しながら、お金の知識を発信＆全国各地の学校でお金の授業を実施。夢は、お金の教育を日本に根付かせること。 https://moneliteg.com/interview-money-education/ ポートフォリオ https://kaoruookouchi.com/ ●学校での授業の様子 →https://youtube.com/playlist?list=PLdvow3CjKbsFmTzH2Wj2fP70MCiS1Jwn_ ーーーSNSなどーーー

●プロフィール 税理士事務所を経営しながら、お金の知識を発信＆全国各地の学校でお金の授業を実施。夢は、お金の教育を日本に根付かせること。 https://moneliteg.com/interview-money-education/ ポートフォリオ https://kaoruookouchi.com/ ●学校での授業の様子 →https://youtube.com/playlist?list=PLdvow3CjKbsFmTzH2Wj2fP70MCiS1Jwn_ ーーーSNSなどーーー

Nick Almond of the Jito Foundation joins David to walk through why DAO governance is a mess, what “pragmatic decentralization” looks like in practice, and how the CLARITY Act will reshape governance going forward. Enjoy! TIMESTAMPS: (00:00) Intro (01:22) Why Governance Matters (03:43) Token Voting (05:12) Delegates and Multisigs (08:56) Nexo Ad (09:30) Sub-DAOs and Specialization (11:33) Governance Tokens Origins (15:47) Pragmatic Decentralization (18:22) Cosmetic Votes and Value (20:37) Nexo Ad (21:35) Arbitrum Governance (25:59) Regulation and CLARITY (29:11) Bitcoin Governance Lessons (34:03) Meta Governance and Agility (36:48) Tokens as Equity Future (39:41) Closing Thoughts FOLLOW THE SHOW › David — https://x.com/dcanellis › The Breakdown — https://x.com/TheBreakdownBW › Nick Almond — https://x.com/DrNickA › Jito Foundation — https://x.com/jito_sol SPONSORS › NEXO Nexo is the premier digital wealth platform. Receive interest on your crypto, borrow against it without selling, and trade a range of assets. Now available in the U.S with 30 days of exclusive privileges. Get started at http://nexo.com/breakdown Get top market insights and the latest in crypto news. Subscribe to the Blockworks Daily Newsletter: https://blockworks.co/newsletter/ DISCLAIMER As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice.

●プロフィール 税理士事務所を経営しながら、お金の知識を発信＆全国各地の学校でお金の授業を実施。夢は、お金の教育を日本に根付かせること。 https://moneliteg.com/interview-money-education/ ポートフォリオ https://kaoruookouchi.com/ ●学校での授業の様子 →https://youtube.com/playlist?list=PLdvow3CjKbsFmTzH2Wj2fP70MCiS1Jwn_ ーーーSNSなどーーー

Tarun Chitra, Co-Founder & CEO of Gauntlet, joins us to talk about the evolution of DeFi lending, the shift toward active vault management, and recent high-profile security exploits like Resolve and KelpDAO. We dive into the hidden risks of restaking protocols, the friction between DAO ideologues and risk curators, open-source versus closed-source infrastructure vulnerability, and how AI agents are shaping both cyberattacks and defensive measures in Web3. Subscribe to the newsletter! https://newsletter.blockspacemedia.com Notes: * North Korea stole $800M from Bangladesh bank. * Some re-staking protocols had LTVs up to 0.98. * DAO parameters often update only once a week. Timestamps: 00:00 Start 00:16 DeFi vibe check 01:44 Vaults in DeFi 06:13 Actively managed vaults 14:21 Collateral risks 19:00 Attack learnings 21:37 KelpDAO 29:11 Transperency 30:15 Composibility risks 37:47 Should finance be open source? 43:02 Timelocks 49:28 Clawbacks are the future! The Gwart Show is sponsored by Ellipsis Labs. Ellipsis Labs builds the most efficient on-chain markets. Their orderbook and Prop AMM products have delivered price improvement to hundreds of billions of dollars in retail volume. Now, they are bringing their expertise to build Phoenix, the best on-chain perpetuals platform. Ellipsis Labs is hiring New York-based engineers. If you're an engineer looking to work with a proven team in making DeFi better, go to ellipsislabs dot xyz slash careers Learn more about your ad choices. Visit megaphone.fm/adchoices

●プロフィール 税理士事務所を経営しながら、お金の知識を発信＆全国各地の学校でお金の授業を実施。夢は、お金の教育を日本に根付かせること。 https://moneliteg.com/interview-money-education/ ポートフォリオ https://kaoruookouchi.com/ ●学校での授業の様子 →https://youtube.com/playlist?list=PLdvow3CjKbsFmTzH2Wj2fP70MCiS1Jwn_ ーーーSNSなどーーー

Moving beyond the imagined boundary of form, Alan Watts explores the idea that humanity is a microcosm of the universe and that the two are inseparable. Today's episode is brought to you by BetterHelp. Give online therapy a try at betterhelp.com/alan and get on your way to being your best self.This time on Being in the Way, Alan Watts discusses:Considering whether being part of a whole means that we are the wholeThe radial structure of humanity, Earth, and all beingsRecognizing that skin is not the boundary of manHow foreign the inner workings of the human body seem to humannessThe nature of the mind, likened to the nature of spaceThe illusion of an individual operating from himself Blending together materialism and mysticism, not getting too stuck in one or the other This series is brought to you by the Alan Watts Organization and Ram Dass' Love Serve Remember Foundation. Visit Alanwatts.org for full talks from Alan Watts. “Any other way of looking at things is kind of schizoid. It looks at human beings as if they arrived in this world like a bunch of birds on the branches of a barren tree. They just got settled there, they don't belong, a sense of being strangers and pilgrims from another domain altogether. Well, where is this other domain, and how does it relate to this one?” –Alan WattsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

📝 INVESTIR AVEC NOUS : Conseil en investissement et club deals alternatifs : https://bit.ly/sondageRA30A 👾 Créer un compte crypto sur OKX - la plateforme la plus complète sur le Web3, avec le plus de fonctionnalités crypto et de services intégrés, tout en restant l'une des plus compétitives en frais et en liquidité, tout en ayant renforcé sa conformité en Europe via le cadre MiCA - https://www.okx.com/join/6971437 (lien avec bonus jusqu'à 250€ de bonus pour 1000€ déposés). --- 🎙️ Au programme de l'émission 211 - L'illusion du "cadre" social : Comment l'absence de repères (père, religion, structure) mène au chaos personnel et l'importance de se construire son propre système de valeurs pour ne plus subir. - La psychologie du crash financier : Pourquoi un ingénieur HPI peut perdre 60 000 € en 18 mois en agissant comme un "gamin de 3 ans" au casino, malgré une expertise technique réelle. - Se reconstruire après l'abîme : Du "crochet au plafond" à la résilience totale : le parcours de Rémi pour surmonter trois burn-outs et un désir de suicide sans aide extérieure. - La dynamique homme-femme et le regard de l'autre : Pourquoi la stabilité d'un homme se reflète dans le regard de sa femme et comment ses traumas passés influencent ses relations actuelles. -- 0:00 - Ingénieur et investisseur (avec Rémy AUBARD) 0:53 - Pourquoi il a craché fort 3:24 - Les deux morts de sa vie 4:48 - Une situation extreme avec l'argent 7:30 - Perte de 60 000€ en 18 mois 9:14 - Demain n'existera peut être pas 11:16 - 3 burnout en 5 ans 13:56 - Eduquer dans le chaos 16:51 - La spiritualité 19:03 - Comment se comporter face aux conflits ? 22:47 - Les relations hommes-femmes 27:48 - Le féminisme extreme 29:06 - La société sans limite 33:37 - La différence de perception homme-femme 38:45 - La différence de réussite homme-femme 41:03 - Relation différente + société différente + IA #spiritualité #investissement #politique --- Nous sommes gestionnaires de patrimoine et conseillers en investissement. Nous accompagnons les citoyens à investir autrement. Nous sommes persuadés que le modèle économique du passé ne se reproduira pas et qu'il faut aller vers de nouvelles dimensions : fin de l'abondance, technologie du savoir, modes d'organisation, modèle économique... C'est un réel combat politique, qui se gagne par l'argent, le nerf de la guerre. Nous proposons des produits et services performants dans l'économie réelle, en respectant nos critères d'investissements : innovations utiles, éthiques et durables ; de souveraineté économique, industrielle, monétaire, technologique, énergétique et alimentaire. Nous axons nos stratégies d'investissements sur trois axes : - l'économie réelle via le private equity (le capital-investissement), deeptech, medtech, greentech, winetech, saas... - les investissements alternatifs de terrain (ressources naturelles, métaux rares et critiques, énergie, eau, vin, numismatique, oeuvres d'Art, immobilier atypique...) - les innovations Web3 (cryptoactifs, DeFi, RWA, token sales, DePIN, DAO, DApp, NFT, GameFi) --- FD Invest – Société par actions simplifiés au capital social de 100 € - n°89888347500029 au RCS de Montpellier – 2 rue des pivoines 34070 Montpellier – http://fdinvest-patrimoine.com/. Enregistré à l'ORIAS sous le n°22001382 http://www.orias.fr/ en qualité de : Conseiller en investissement financier adhérent de la compagnie cif, association agréée auprès de l'Autorité des Marchés Financiers. FD Invest exerçant en marque commerciale sous le nom Riche à 30 ans. RC Pro auprès de MMA. - IMPORTANT: Risque de perte en capital ou de moins-value sur les investissements alternatifs. Faites vos recherches si vous n'êtes pas accompagné. Ce retour d'expérience ne constitue pas un conseil ou une recommandation. Un conseil est toujours au cas par cas.

●プロフィール 税理士事務所を経営しながら、お金の知識を発信＆全国各地の学校でお金の授業を実施。夢は、お金の教育を日本に根付かせること。 https://moneliteg.com/interview-money-education/ ポートフォリオ https://kaoruookouchi.com/ ●学校での授業の様子 →https://youtube.com/playlist?list=PLdvow3CjKbsFmTzH2Wj2fP70MCiS1Jwn_ ーーーSNSなどーーー

The ArbitrumDAO approves a temp check vote for the rsETH recovery. AWS launches AgentCore Payments with x402 support. Protocol Guild upgrades its DAO contracts. And Obol releases Obol Stack v0.9.0. Read more: https://ethdaily.io/942 ETH Daily sponsorships are now open. Reach over 10,000 Ethereum-native subscribers every weekday. Learn more at ethdaily.io/sponsor Disclaimer: Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.

Missiles in the Strait of Hormuz. Brent jumps 5%. Bitcoin breaks through $80. The Bits + Bips crew reads the geopolitical tape — and explains why crypto is shrugging it off. --- Thank you to our sponsor! Coinbase One — coinbase.com/unchained Heads up! If you haven't yet, be sure to subscribe to Bits + Bips, since the show will migrate there in a few weeks. Follow us on ⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠, ⁠⁠⁠⁠YouTube⁠⁠⁠⁠, ⁠⁠⁠⁠Spotify⁠⁠⁠⁠, ⁠⁠⁠⁠X⁠⁠⁠⁠, ⁠⁠⁠⁠Unchained⁠⁠⁠⁠ and wherever you get your podcasts. ---- Iranian cruise missiles struck commercial vessels in the Strait of Hormuz, Brent jumped 5%, and Bitcoin broke through $80 — all in the same day. The Bits + Bips crew unpacks what the escalation means for crypto and macro positioning, why Ram stays bullish, and whether Paul Tudor Jones is right that Bitcoin is now the best inflation hedge. They also break down the Clarity Act's yield compromise — with Circle up 16% — and why Austin argues banks may have handed asset managers a structural win. Finally, a U.S. court filing targeting Arbitrum's frozen North Korean funds raises a bigger question: can you serve legal papers on code, and what does that mean for DAO governance? Austin Campbell, Ram Ahluwalia, and Chris Perkins break it all down. Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Austin Campbell (@austincampbell) — Founder, Zero Knowledge Consulting; Adjunct Professor, NYU Stern ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ram Ahluwalia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Co-Host, CEO of Lumida ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Chris Perkins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Co-Host, CEO of 250 Digital Asset Management Learn more about your ad choices. Visit megaphone.fm/adchoices

298: I'm joined by Dr. Ben Lynch to unpack a topic that's widely misunderstood when it comes to health, anxiety, and pregnancy: methylation and the role of folate vs. folic acid. We talk about MTHFR, why some people feel worse on certain supplements, and how common prenatal advice may not work for everyone. This episode explores how to better support your body, your brain, and your future health by understanding what you're actually taking and why it matters. Topics Discussed: → MTHFR & Methylation → Folic Acid vs. Folate → Vitamins & Anxiety → Prenatal Vitamins → Pregnancy & Baby Development → Brain Health → Lifestyle & Environmental Factors Sponsored By: → Our Place | Stop cooking with toxic cookware, and upgrade to Our Place today. Visit https://fromourplace.com/REALFOODOLOGY and use code REALFOODOLOGY for 10% off sitewide. With a hundred-day risk-free trial, free shipping and returns, you can experience this game-changing cookware with zero risk. → Just Thrive | Get your health in check and save 20% on your first order at https://justthrivehealth.com/REALFOODOLOGY → Manukora | Head to https://manukora.com/REALFOODOLOGY to save up to 31% plus $25 worth of free gifts with the Starter Kit, which comes with an MGO 850+ Manuka Honey jar, 5 honey travel sticks, a wooden spoon, and a guidebook! → Timeline | Timeline's clinically proven formula is now available at a new, lower price. Mitopure now starts at $79, when you go to https://timeline.com/REALFOODOLOGY → Cowboy Colostrum | Get 25% Off Cowboy Colostrum with code REALFOODOLOGY at https://cowboycolostrum.com/realfoodology Timestamps:  → 00:00 Introduction → 01:00 MTHFR & Methylation Explained → 04:00 What Methylation Does in the Body → 08:00 Why Methylated Vitamins Can Cause Anxiety → 12:00 How to Approach Supplements (Bio-Individuality) → 23:00 Methylation, Pregnancy & Baby Development → 35:30 Folic Acid vs Folate → 48:00 Brain Health & Nutrient Deficiency → 1:10:00 Morning Sickness, Histamine & DAO → 1:14:00 Matcha, Green Tea & Folate → 1:16:00 Why Vitamins Can Make You Feel Worse → 1:19:00 Tylenol, Glutathione & Pregnancy Show Links: → realfoodology.com Check Out Ben: → Instagram Check Out Courtney:  →⁠⁠ ⁠LEAVE US A VOICE MESSAGE⁠⁠⁠ → ⁠⁠ ⁠Check Out My new FREE Grocery Guide!⁠⁠⁠ → ⁠⁠ ⁠@realfoodology⁠⁠⁠ →⁠⁠ ⁠⁠PEOPLE VS THE POISON - Sign up now!⁠⁠⁠⁠⁠⁠ → ⁠⁠ ⁠www.realfoodology.com⁠⁠⁠ → ⁠⁠ ⁠My Immune Supplement by 2x4⁠⁠⁠ → ⁠⁠ ⁠Air Dr Air Purifier⁠⁠⁠ → ⁠⁠ ⁠AquaTru Water Filter⁠⁠⁠ → ⁠⁠ ⁠EWG Tap Water Database⁠⁠⁠  Produced By: Drake Peterson Learn more about your ad choices. Visit megaphone.fm/adchoices

durée : 00:06:34 - Le masque et la plume - par : Rebecca Manzoni - Le réalisateur Alain Gomis explore, dans son film "Dao", les thématiques de la transmission et des racines à travers deux cérémonies liées à l'histoire d'une famille. Une immersion cinématographique entre réalité et fiction qui n'a pas laissé indifférent les critiques du Masque malgré sa longueur. - réalisation : Stéphane Le Guennec, Ilinca Negulesco - invités : Pierre Murat Journaliste et auteur, Florence Colombani Journaliste et critique cinéma (Le Point), Charlotte Lipinska Critique de cinéma et journaliste à Télé Matin, Ariane Allard Journaliste pour le magazine Positif, Murielle Joudet Critique de cinéma au Monde Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

durée : 00:03:33 - Le Regard culturel - par : Lucile Commeaux - Aujourd'hui sort un des meilleurs films de l'année 2026 : "Dao", signé Alain Gomis, chronique une cérémonie funéraire en Guinée-Bissau et un mariage en France, deux cérémonies qui rassemblent une même famille, dans un mélange vertigineux et bouleversant de vrai et de faux.

We discuss the harrowing incident at the centre of Marta Bergman's poignant new film, as critic Manon Kerjean tells us why "The Silent Run" is a powerful, haunting take on the terrifying scenarios that many refugees face. We also review Alain Gomis's atmospheric journey through family rites and rituals in Guinea-Bissau in "Dao". Plus Laure Calamy and Vincent Macaigne negotiate belly laughs and bittersweet moments in "What is Love?" as a separated couple re-visiting their past on a trip to Rome.

durée : 00:03:33 - Le Regard culturel - par : Lucile Commeaux - Aujourd'hui sort un des meilleurs films de l'année 2026 : "Dao", signé Alain Gomis, chronique une cérémonie funéraire en Guinée-Bissau et un mariage en France, deux cérémonies qui rassemblent une même famille, dans un mélange vertigineux et bouleversant de vrai et de faux.

In this episode, I sit down with Vitali, co-founder of EasyStaff.io, a freelance payroll and marketplace platform processing over 20 million euro per month across its ecosystem. Vitali shares his journey from mining Bitcoin in Russia back in 2012 to building a multi-product fintech platform with a real, functioning DAO at its heart. We dig into why most DAOs fail to get participation, how EasyStaff Connect DAO distributes 90% of tokens to users based purely on business activity, and how the community is already voting on real product decisions. Vitali also opens up about the challenges of launching without venture capital, his plans to go fully open source, and why he sees blockchain-based legal token recognition as the natural next step for the platform. DisclaimerNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/Connect:EasyStaff Website: https://easystaff.ioEasyStaff Connect DAO: https://connect.easystaff.ioLinkedIn: https://linkedin.com/company/easystaffKEY POINTS WITH TIMESTAMPS• [00:00] Introduction to Vitali and EasyStaff.io and the focus on DAOs• [01:00] Vitali's crypto origin story — mining Bitcoin in 2012 with an ASIC device, selling at $300 per coin• [03:40] Clarifying that EasyStaff Connect DAO tokens are currently centralised — blockchain integration is a future stage pending legal jurisdiction decisions• [04:49] Overview of the two core products: EasyStaff Payroll (B2B) and EasyStaff Invoice (B2C), and how the DAO marketplace bridges the gap• [07:03] How EasyStaff handles remote payments across multiple currencies, entities, and compliance requirements including sanctions• [09:14] The core DAO problem: low participation and how EasyStaff tackles it with a 20% quorum, public backlogs, and personalised outreach• [11:35] Tokens are earned through business activity only — no token sale, no secondary market, purely rewarding real transactions• [12:44] Token holders receive monthly fiat dividends from platform profits, with the platform retaining only 3% of transaction fees• [13:40] Community governance in practice — token holders collectively hold 90% voting power versus the founders' 10%• [19:10] Real example of community governance: users voted to add PayPal to fast payment options• [20:40] EasyStaff ecosystem now processes around 20 million euro per month, with one entity alone clearing 140 million euro in 2025• [22:32] EasyStaff Connect focuses on design and graphics freelancers historically but is expanding broadly, including AI professionals• [23:42] Upcoming addition of a recruiter network to expand the platform through intermediaries• [25:05] Marketing strategies: AI-powered cold outreach on LinkedIn, rebranding, YouTube integrations, Forbes articles, and this podcast• [28:43] If starting again — the biggest challenge was lack of capital, which forced a bootstrapped, revenue-first approach• [30:36] Roadmap: completing hard-voting mechanics, moving to open source, separating DAO from the operating company, then going on-chain via a legally recognised jurisdiction such as Liechtenstein, UAE, or Singapore• [34:37] AI adoption internally — using Claude for development and exploring Gemini for internal compliance and treasury processes, with a freeze on new linear hires

durée : 00:28:24 - Les Midis de Culture - par : Marie Sorbier - Sélectionné en compétition officielle à la Berlinale 2026, "Dao" d'Alain Gomis déploie sur trois heures le parcours intime de Gloria, une femme traversée par les rituels, les continents et les temporalités. - réalisation : Laurence Malonda - invités : Alain Gomis Réalisateur

In this episode, Michael explores one of the most overlooked risks in crypto today: Are stablecoins actually safe? As billions flow into stablecoins, most users don't realize the hidden layers of risk from custodians and intermediaries to complex yield strategies happening behind the scenes. This conversation breaks down the difference between centralized vs decentralized stablecoins, and why that distinction matters more than ever. From early Ethereum days to building in DeFi, Michael shares how crypto unlocks true financial sovereignty giving individuals the ability to opt out of fragile systems. Topics covered: • What inspired Michael to build in Ethereum • Peer-to-peer finance & financial sovereignty • What "resilience" and "anti-fragility" really mean • Stablecoins explained (simple breakdown) • Centralized vs decentralized stablecoins • Hidden risks in yield farming ("trust me bro" zone) • Why your stablecoin is "traveling" behind the scenes • Counterparty risk vs code-based trust • Silicon Valley Bank & real-world failures • Why optionality is the key to financial freedom • Liquity, BOLD & decentralized stablecoin design • The future of money, regulation & crypto systems The core idea: Not all dollars are equal. Not all stablecoins are safe. If you don't understand where your money is going, you're taking risks you didn't sign up for. Greenpill isn't just about building new systems. It's about building systems you can actually trust. greenpill.network vdao.org https://x.com/JoinVDAO https://x.com/greenpillnet https://x.com/svobodamichael https://x.com/LiquityProtocol Timestamps  00:00 – Introduction 00:11 – Michael's "why" & discovering Ethereum 01:36 – Peer-to-peer finance & removing intermediaries 02:29 – Journey into crypto & early DAO era 03:31 – Early crypto vs traditional finance mindset 04:22 – Ethereum community & early DeFi innovation 05:28 – Resilience, sovereignty & optionality 08:27 – Why financial independence matters 10:16 – Introduction to stablecoins 10:58 – What is a stablecoin (simple explanation) 12:00 – Centralized vs decentralized stablecoins 13:25 – The "trust me bro" risk zone 14:09 – On-chain vs off-chain backing explained 15:04 – Why decentralization matters in stablecoins 16:28 – Stablecoins for payments vs savings 17:04 – Risk comparison: CeFi vs DeFi 19:17 – Sovereignty, control & censorship resistance 21:05 – Why most stablecoins don't give real claims 21:29 – Human systems vs code-based systems 21:56 – Risks in centralized finance (SVB example) 23:05 – Optionality & monetary systems 25:25 – Regulatory risks & future scenarios 26:58 – Why decentralized stablecoins matter 27:47 – Pegging to the dollar explained 30:39 – Scalability limits of crypto-backed stablecoins 31:24 – Stablecoins as "last resort" money 32:12 – Risk & resilience in DeFi systems 33:14 – How to earn yield on stablecoins 35:39 – The "journey" your stablecoin takes 37:46 – Why chasing yield increases risk 38:32 – Terra Luna & unsustainable yields 39:48 – Where yield actually comes from 40:20 – Risk vs reward in DeFi 42:45 – Regulation vs code-based trust 43:11 – Understanding hidden dependencies 44:19 – Rehypothecation & hidden risks 47:34 – Who should use decentralized stablecoins 49:00 – Network states & financial systems 50:23 – Why stablecoin adoption is hard 52:38 – The idea of an "Ethereum-native dollar" 53:48 – Future of stablecoins & regulation 56:43 – Risks of over-regulation 59:08 – Why decentralized systems need support 01:00:03 – Stablecoins & Ethereum security 01:00:58 – Why this matters for Ethereum's future 01:01:46 – Aligning with crypto values 01:03:40 – The need for stronger community voice 01:05:24 – Final thoughts & closing

Glyphosate disrupts DAO and sulfation, triggering mast cell activation and widespread histamine-related illness. #HistamineIntolerance #MCAS #GlyphosateRisk #HealthTalks

durée : 00:58:31 - Plan large - par : Antoine Guillot - Au programme cette semaine "Soumsoum, la nuit des astres" de Mahamat‑Saleh Haroun, "À voix basse" de Leyla Bouzid, "Première ligne" de Merzak Allouache et "Dao" d'Alain Gomis. - réalisation : Anne-Laure Chanel - invités : Mahamat-Saleh Haroun Cinéaste, romancier; Leyla Bouzid Réalisatrice, scénariste; Merzak Allouache Scénariste et réalisateur de films algérien; Alain Gomis Réalisateur; Sophie-Catherine Gallet Collaboratrice à France Culture, critique de cinéma à Revus et corrigés, cinéaste

L'émission 28 minutes du 25/04/2026 Ce samedi, Renaud Dély décrypte l'actualité avec le regard international de nos clubistes : Karima Brikh, éditorialiste à Radio-Canada dans l'émission “Zone Info”, Aysegul Sert, journaliste turco-américaine et professeure à l'école de journalisme de Sciences Po, Daniele Zappalà, correspondant du quotidien "Avvenire" et docteur en géopolitique et le dessinateur de presse Nicolas Vadot. Corruption en Afrique, guerre en Iran : le Pape Léon XIV, défenseur des sans voix ou donneur de leçons ? Le pape Léon XIV a clôturé son voyage en Afrique au cours duquel il a visité l'Algérie, le Cameroun, l'Angola et la Guinée équatoriale. Il y a vivement dénoncé la tyrannie, la corruption et l'absence de liberté. Il s'était également opposé à Donald Trump au sujet de la guerre en Iran début avril. Peut-on encore gagner une élection sans inviter les électeurs dans sa chambre à coucher ? Depuis plusieurs semaines, certains candidats à l'élection présidentielle affichent leur vie privée. Jordan Bardella a fait la Une de “Paris Match” aux côtés de Maria-Carolina de Bourbon des Deux-Siciles. Gabriel Attal a, quant à lui, publié “En homme libre” qui raconte notamment son histoire d'amour avec Stéphane Séjourné. Nous recevons Alain Gomis, réalisateur franco-sénégalais, qui présente son dernier film “Dao”, en salles le 29 avril. En naviguant entre la France et la Guinée-Bissau, le passé et le présent, il s'intéresse à la double culture. Valérie Brochard nous emmène chez nos voisins belges. Les citoyens ont été invités à se doter d'un kit d'urgence permettant de vivre en autonomie pendant trois jours en cas de guerre ou de catastrophe climatique. Olivier Boucreux décerne le titre d'employé de la semaine à Roumen Radev, le nouveau premier ministre bulgare. Sa position pragmatique vis-à-vis de la Russie interroge sur le rôle qu'il occupera au sein de l'Union européenne. Jean-Mathieu Pernin zappe sur la télévision américaine qui s'intéresse à de mystérieuses disparitions de scientifiques américains liés à la recherche sur le nucléaire et l'aérospatiale. Natacha Triou nous invite à méditer sur notre besoin de savoir d'où l'on vient. Enfin, ne manquez pas Dérive des continents de Benoît Forgeard. 28 minutes est le magazine d'actualité d'ARTE, présenté par Élisabeth Quin du lundi au jeudi à 20h05. Renaud Dély est aux commandes de l'émission le vendredi et le samedi. Ce podcast est coproduit par KM et ARTE Radio. Enregistrement 25 avril 2026 Présentation Renaud Dély Production KM, ARTE Radio

In this episode, Griff Green dives into one of the most urgent challenges in crypto today: Can Ethereum actually become safe enough for everyone? From billion-dollar hacks to AI-driven exploits, security has become the defining bottleneck for the future of decentralized systems. Griff shares lessons from over a decade in crypto from the original DAO hack to leading new efforts like the DAO Security Fund, a $170M initiative designed to fund and coordinate Ethereum security at scale. This conversation explores: • The DAO Security Fund & how it works • Turning Ethereum security into a public good • The recent wave of hacks across DeFi & Web2 • The Arbitrum Security Council decision & North Korea exploit • Why incentives for white hats are broken • AI as both the biggest threat and biggest defense • Coordination vs fragmentation in Ethereum security • Why crypto still isn't safe for normal users • Lessons from the original DAO hack • Quadratic funding & new experiments in capital allocation • The future of public goods funding in Ethereum The core idea: Security isn't just a feature. It's the foundation of everything. If Ethereum can become truly safe, it won't just compete with traditional finance it could replace it. Greenpill isn't just about funding public goods. It's about building systems people can actually trust. greenpill.network @owocki  @greenpillnet https://x.com/griffgreen https://x.com/Giveth Some of the materials we mention in the episode:  - https://x.com/thedaofund  - https://qf.giveth.io/qf/apply  - https://qf.giveth.io/qf Timestamps  00:00 – Intro: Greenpill & Griff Green 01:19 – What is the DAO Security Fund? 03:16 – $170M fund & Ethereum security as a public good 04:25 – The current wave of hacks (Web3 + Web2) 05:07 – AI arms race: white hats vs black hats 07:14 – Short-term risk vs long-term security 08:10 – Lindy, AI & system resilience 09:06 – Arbitrum hack situation explained 10:26 – KelpDAO exploit & systemic DeFi risk 12:50 – Why hackers didn't move funds immediately 13:54 – Emergency governance & Arbitrum response 15:35 – Flashbacks to the original DAO hack 18:17 – The hardest part: returning funds to users 20:40 – Multi-DAO coordination problem 22:21 – Why this situation is more complex than before 23:43 – DAO Security Fund: goals & vision 26:08 – Security as a scalable public good 27:48 – Coordination vs individual defense 28:22 – Why "security" works better than "public goods" 29:10 – Why crypto still isn't safe for normal users 30:14 – Open source vs public goods framing 31:06 – Giveth QF round & how to apply 33:33 – Expert-weighted quadratic funding experiment 36:18 – Tunable QF & improvements over past models 38:01 – Is quadratic funding still relevant? 39:06 – 10-year vision: Ethereum as global infrastructure 41:36 – Why hacks keep happening 43:17 – Misaligned incentives for white hats 44:57 – Future of public goods funding 45:21 – How the Arbitrum situation plays out 47:22 – Decentralization vs security council debate 49:11 – Social media manipulation & misinformation 50:53 – Are L2s still decentralized? 51:20 – Final call to action (QF round) 52:44 – Closing thoughts

Este viernes 24 de abril, Carlos Alsina nos trae las historias para empezar la mañana: De la resaca por las declaraciones de Mariano Rajoy y Dolores de Cospedal en el caso Kitchen a la polémica con el juez del caso del ex DAO.

Early bird discounts for the San Francisco World's Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!From near-universal AI tool adoption inside Shopify to internal systems for ML experimentation, auto-research, customer simulation, and ultra-low-latency search, Mikhail Parakhin joins us for a deep dive into what it actually looks like when a 20-year-old, $200B software company goes all-in on AI. We cover why Shopify has become much more vocal about its internal stack, what changed after the December model-quality inflection, and why the real bottleneck in AI coding is no longer generation, but review, CI/CD, and deployment stability.We also go inside Tangle, Tangent, SimGym, which are three major AI initiatives that Shopify is doing to make experimentation reproducible, optimization automatic, customer behavior simulatable, and search and catalog intelligence faster and cheaper at scale. Along the way, Mikhail explains UCP, Liquid AI, and why token budgets are directionally right but often measured badly, why AI-written code can still increase bugs in production, what makes Shopify's customer simulation defensible, and what he learned from the Sydney era at Bing.We discuss:* Mikhail's path from running a major Microsoft business unit spanning Windows, Edge, Bing, and ads to becoming CTO of Shopify* Why Shopify is talking more publicly about AI now, and why staying at the frontier has become necessary for the company* Shopify's internal AI adoption curve, the December inflection, and why CLI-style tools are rising faster than traditional IDE-based tools* Why Jensen Huang is directionally right on token budgets, but raw token count is still the wrong way to evaluate engineering output* Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation* Why AI coding can still lead to more bugs in production even if models write cleaner code on average than humans* Why Shopify built its own PR review flow, and why Mikhail thinks most off-the-shelf review tools miss the point* How PR volume, test failures, and deployment rollback are becoming the real bottlenecks in the agent era* Why Git, pull requests, and CI/CD may need a new metaphor once code is written at machine speed* What Tangle is, and how Shopify uses it to make ML and data workflows reproducible, collaborative, and production-ready from the start* Why Tangle is different from Airflow, and why content-addressed caching creates network effects across teams* What Tangent is, and how Shopify is using auto-research loops to optimize search, themes, prompt compression, storage, and more* Why Tangent is becoming a democratizing tool for PMs and domain experts, not just ML engineers* Why AutoML finally feels real in the LLM era, and where auto-research still falls short today* Why Tangle, Tangent, and SimGym become much more powerful when combined into one system* What SimGym is, why simulated customers only work if you have real historical behavior, and why Shopify's data gives it a moat* How SimGym evolved from comparing A/B variants to telling merchants what to change on a single live storefront to raise conversions* Why customer simulation is so expensive, from multimodal models to browser farms to serving and distillation costs* How Shopify models merchant and buyer trajectories, runs counterfactuals, and thinks about interventions like discounts, campaigns, and notifications* Why category-level behavior is so different across commerce, and why ideas like Chinese Restaurant Processes are showing up again in practice* Shopify's new UCP and catalog work, including runtime product search, bulk lookups, and identity linking* Why Shopify is using Liquid AI, and why Mikhail sees it as the first genuinely competitive non-transformer architecture he has used in practice* Where Liquid already works inside Shopify today, from low-latency query understanding to large-scale catalog and Sidekick Pulse workloads* Whether Liquid could become frontier-scale with enough compute, and why Shopify remains pragmatic and merit-based about model choice* Who Shopify is hiring right now across ML, data science, and distributed databases* The Sydney story at Bing, why its personality was not an accident, and what Mikhail learned from deliberately shaping AI character early onMikhail Parakhin* LinkedIn: https://www.linkedin.com/in/mikhail-parakhin/* X: https://x.com/MParakhinTimestamps00:00:00 Introduction: Mikhail Parakhin, Microsoft, and Shopify00:01:16 Why Shopify Is Talking More About AI00:02:29 Internal AI Adoption at Shopify and the December Inflection00:06:54 Token Budgets, Jensen Huang, and Why Usage Metrics Can Mislead00:10:55 Why Shopify Built Its Own AI PR Review System00:12:38 AI Coding, More Bugs, and the Real Deployment Bottleneck00:14:11 Why Git, PRs, and CI/CD May Need to Change for Agents00:18:24 Tangle: Shopify's Reproducible ML and Data Workflow Engine00:21:19 Why Tangle Is Different from Airflow00:26:14 Tangent: Auto Research for Optimization and Experimentation00:30:07 How Tangent Democratizes Experimentation Beyond ML Engineers00:33:06 The Limits of Auto Research00:36:36 Why Tangle, Tangent, and SimGym Compound Together00:37:20 SimGym: Simulating Customers with Shopify's Historical Data00:42:47 The Infra Behind SimGym00:46:00 Why SimGym Gets Better with Real Customer History00:47:30 Counterfactuals, HSTU, and Modeling Merchant Trajectories00:51:55 CRPs, Clustering, and Category-Level Customer Behavior00:53:30 UCP, Shopify Catalog, and Identity Linking00:55:07 Liquid AI: Why Shopify Uses Non-Transformer Models00:59:13 Real Shopify Use Cases for Liquid01:03:00 Can Liquid Scale into a Frontier Model?01:09:49 Hiring at Shopify: ML, Data Science, and Databases01:10:43 Sydney at Bing: Personality Shaping and AI Character01:13:32 Closing ThoughtsTranscript[00:00:00] swyx: Okay. We're here in the studio, a remote studio, with Mikhail Parakhin, CTO of Shopify. Welcome.[00:00:08] Mikhail Parakhin: Thank you. Welcome.[00:00:10] swyx: I don't even know if I should introduce you as CTO of Shopify. I feel like you have many identities. Uh, you led sort of the, the Bing ML team, I guess, uh, uh, or ads team. I, I don't know, I don't know, uh, you know, it's, uh, people va-variously refer you as like CEO or, or, uh, I don't know what that, that, that said previous role at Microsoft was.[00:00:29] Mikhail Parakhin: Uh, that was... Yeah, my previous role w- at Microsoft was the-- I actually was the CEO of one of Microsoft's business units, which included, as I, you know, as we discussed, all the things that people like to laugh about, uh, including Windows and Edge and Bing and ads and everything.[00:00:47] swyx: Yeah, yeah. What a, what a, what a wild time.You've obviously, uh, done a lot since you landed at Shopify. Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi's QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.I think more-- it's just more recent that you guys have been more vocal about your sort of AI adoption. Is that, is that true?[00:01:16] Mikhail Parakhin: Well, I think AI tools in general are fairly recent development, uh, and we've-- Shopify, you know, at this stage of its development, we're developing AI in-in-house and other, uh, building tools that use AI and, you know, interfacing with the wider AI community, uh, you know, are on the sort of the, uh, runaway trajectory.So it just did by sort of natural byproduct. We, we talk about it more also. We just, uh, just even yesterday, Andrej Karpathy was famous in tweeting about, oh, are there some, uh, ways, uh, that, that you can organize your agents to store the data and then, uh, look up the data so that you don't have to research or, or lose context every- Yestime. And a little bit tongue in cheek, I tweeted that, “Hey, we've, we've done it much earlier, and we even have different approaches, Tobi and I.” Tobi, of course, is a big fan of QMD, and I'm more of a SQL, SQLite fan. But, uh, yeah, very similar things that we've already done here. The point is, yeah, we're very dynamic, you know, explosively growing company, and we have to be at the forefront of AI adoption, obviously.[00:02:29] swyx: Yeah. Yeah. Um, you, your team kindly prepared some slides actually that we were gonna bring up on to, uh, the screen. I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on. So here we have, uh- An internal AI tool adoption chart.What are we looking at here? What ?[00:02:54] Mikhail Parakhin: Yeah, this is very interesting statistics. Uh, this is number of daily active workers, you know, think of, uh, DAO, basically the active users of-[00:03:05] swyx: Yeah ...[00:03:05] Mikhail Parakhin: AI tool as a percentage of all the people in the company, right? And then- Yeah ... different AI tools. And, uh, you could see two things here is that one is the green is total.Uh, green is just total. So you could see that it approaches really % by now. It's hard not to do your job now without interacting deeply, at least with one tool. You could see another interesting thing is just as many people commented in December was the phase transition when suddenly models gotten good enough that, that everything took off and started growing.Uh, it, it was many people noticed that the thing is that small improvements accumulated into this big change in Sep- December roughly timeframe.[00:03:52] swyx: Yeah.[00:03:52] Mikhail Parakhin: The other thing I would claim you could see is that, uh, CLI-based tools and tools that don't require you to look at the code becoming more popular, and you could see, yeah, various versions of, uh, Cloud Code and Codex and Pi and internal development tools taking off.Uh, exactly, yeah, uh, and blue is our River, just internal agent for coding, where tools, uh, that require IDEs such as, uh, GitHub, Copilot or Cursor, they're not exactly shrinking, but they're not growing as fast. Like, uh, red, red line is, is the IDE kind of tools. So you could see that they're, they're not experiencing as, as fast of a growth.[00:04:37] swyx: As I understand it, basically, every employee has their choice, right? Of choose whatever tool you use, and then you're just kind of doing a, a daily sur-survey or something.[00:04:47] Mikhail Parakhin: Exactly. And, uh, we- Yeah ... the, the push is to get your job done, you can use any tool, and we effectively fund unlimited tokens for everybody.Uh, we, we do, we do try to control the models that, uh, people use, but from the bottom, not from top. Like we basically say, “Hey, please don't use anything less than Opus four point six.”[00:05:09] swyx: Oh .[00:05:10] Mikhail Parakhin: Some people, some people end up using GPT five point four extra high. Some people use Opus four point six. Um, uh, you know, uh, there are some, uh, there are plus and minuses in going for full one million context window versus not.But, uh, we try to discourage people from using anything less than that.[00:05:28] swyx: Yeah, yeah. Got it, got it. Uh, I mean, uh, that's, you know... The, the next chart here, it really kind of shows the expansion and the sort of December twenty twenty-five inflection, right? That, uh, people are using a lot of tokens. I think it's also really interesting that no one was kind of abusing it in twenty twenty-five.Like it was- Had comparatively, uh, to this year, there was almost no growth. I mean, it's still like, you know, probably, probably gave fifty percent.[00:05:56] Mikhail Parakhin: Yeah. This is just a different scale. It's still exponential- Yeah, yeah ...growth at just a different- ...rate of expansion. Uh, there was inflection point, and Sean, I would claim the, the super interesting part here is that you could see that the distribution becoming more and more skewed.Yes. The top percentiles grow faster. So that means- Yeah ...the people in the top ten percentile, they, their consumption grows faster than seventy-five and so forth. So, uh, the distribution skews more and more towards the highest users, which is... I don't know what it tells me. It's like it feels not ideal, to be honest.Or maybe it's okay. We'll see.[00:06:36] swyx: Why does it feel not ideal? Is, is it because of, um, quantity over quality, or what's the concern?[00:06:42] Mikhail Parakhin: Because take it to the limit. That means, you know, if, if this rate of separation continued- Ah, yes ...a year, there will be one person consuming all the tokens. So it's just, it's kinda strange.[00:06:54] swyx: Yeah, I mean, um, uh, I, I think internal like teaching and all that, uh, will, will help sort of distribute things more widely. But in, in the early days, of course, the people who are sort of more AI-pilled will obviously find more ways to use it than the people who are less AI-pilled. Maybe let's, let's call it that.I'll just, I'll just kinda quickly, uh, pause from the, the... You know, we will go back to the rest of the slides, but I just wanna, um, review, you know, there are a lot of CTOs of, of large companies like yourself where they're all considering some kind of token budget, right? Like I think it's something, something that Jensen Huang has been talking about, where like if your 200K engineer is not using 100K of tokens every year, like they're, they're underutilizing coding agents.Of course, Jensen Huang would say that, but like it seems a very quantity over quality approach and like some, some people are basically saying like, well, is this comparable to judging engineer quality by lines of code, right? Which we also know is like kind of flawed, but better than nothing. So I, I don't know if you have like a sort of management take here on, on how to view this kind of, uh, metrics.[00:08:02] Mikhail Parakhin: Well, I mean, you're, you're baiting me. I, I like... This is my favorite topic. Uh, if you let me, I'll probably talk for two hours on just this. I have a lot of things to say. Like I do think Jensen gotten a lot of bad press saying, “Oh, of course you're, you know, this, uh, the- ...the cake seller says you don't need enough cakes.”You know? Like, of course. Uh, but, uh, I actually, uh, think that's undeserved. I think he, he's actually right. Uh, I do think- He,[00:08:33] swyx: he's directionally correct.[00:08:35] Mikhail Parakhin: Yeah. Yeah. He's directionally correct for sure. Uh-[00:08:37] swyx: Who knows what the right number is? Yeah.[00:08:39] Mikhail Parakhin: The thing that I do Uh, want to say, and this is something that we learned through trial and error and very important is like two things.One is that it's not about just consuming tokens. Uh, you can consume tokens and, and in fact, the anti-pattern is running multiple agents, too many agents in parallel that don't communicate with each other. That's almost useless, uh, compared to just fewer agents and burns tokens very efficiently. Uh, setting up the right critique loop, especially with the high quality models, where one agent does something, the other one, ideally with a different model, critiques it, uh, suggests ways to improve it, the agent redoes it with this critique and, and so it takes much longer.So people don't like it because latency goes up. You know, they, they have to wait until this debate is happening. But, uh, the quality of the code is much higher. And another thing, just since you mentioned like, look, uh, uh, yeah, the overall budget is just like, uh, lines of codes. Lines of codes are exploding for everybody right now, or partially because AI is really mover balls, but partially just because AI can write a lot more code, you know, doesn't get tired.And so you have to have to have a very strong narrow waist during PR review. Otherwise, just the number of bugs will go through the roof. It's, uh, it's this unexpected consequence of the just volume trumping everything. I would claim by now good model writes code on average with fewer bugs than, than the average human.But since they write so much more of it, like more of it will make it into production. So you have to- You still[00:10:26] swyx: have[00:10:26] Mikhail Parakhin: more bugs. Yeah. Have to have a very rigorous PR reviews, also automated of course. But, uh, yeah, that to spend a lot budget there. Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, five point four Pro or, uh, uh, Deep Think from Gemini, you know, checking on PR reviews.[00:10:55] swyx: Yeah, totally. Uh, I noticed in your chart you didn't have any review tools. Do you just use like, like let's say a Claude code to review tools? Or do you have another set of review tools like the Greptiles, the Code Rabbits, uh, Devin Reviews has a review tool. I don't know if you've had those specialist review tools.[00:11:13] Mikhail Parakhin: You are a little bit jumping on my store tool right now because the graphs I was only showing public tools. Uh, uh, the-- I haven't found a good PR review tool that, that does what I think should be done. And, uh, partially my, my thinking is because it's so... It just goes against both what people feel like emotionally they prefer and, uh, some of the, uh, you know, frankly Even business models that, that the companies run.At peer review tool, uh, time, you want to run the largest models. That means, I don't know, Codex or, or, uh, Cloud Code is not gonna cut it. You need to have pro-level models if you really want to, uh, stand the tide of bots from going into production. And you need us to spend a lot of time, the models taking turns, but you don't want, like, a big swarm of, uh, of, uh, agents.So in fact, you end up in a different dual-dualistic world where you generate not that many tokens. You, in fact, generate few tokens, but it takes f-a long time because these are expensive models taking turns rather than many, many agents trying to do many things in parallel. So that's, that's why I feel like I haven't found good tools, so we are using our own for peer review for now.[00:12:33] swyx: Yeah. Yeah. I mean, uh, I think a lot of companies are building their own, uh, especially to their needs, right?[00:12:38] Mikhail Parakhin: Mm-hmm.[00:12:38] swyx: Um, I, uh, you also have a chart here going back to the slides on, uh, PR merge growth, where we're now at thirty percent, uh, month on month rather than ten percent. Uh, and also the, the estimated complexity is going up.You know, this is productivity, right? ‘Cause y- presumably there's more stuff going into the code base and more, more features getting worked on. I'm curious about the backlog, right? Like the, the, the-- I actually don't mind a pro-level model taking an hour or two hours to review my PR, because I've dealt with humans who take a week to review my PR, right?And I keep pinging them on Slack, “Hey, hey, review my PR.” So, you know, I think there's some trade-off here where, like, it still doesn't make sense.[00:13:18] Mikhail Parakhin: Exactly. That, that's exactly m-my point. Uh, that on one hand, you can tolerate longer latencies at, uh, PR. On the other hand, like right now, the real problem is not in spending time waiting for PR.It's real problem is since there's so much more code than- Yeah ... uh, probability of at least some tests failing going up, and then you, like, keep de-failing, then you have to find the offending PR, evict it, retest it without that PR, and so deployment cycle becomes much longer. Uh, so it actually, in terms of the overall time to deploy, it's total time savings if you spend more time on a longer model, like thinking for an hour, because then, then you, you don't have to spend all that time during testing and rolling, you know, rolling back the deployment.[00:14:03] swyx: Yeah, totally. That's still worth it. You know, you don't look at the individual, look at the aggregate, and look at the, the, the change in the aggregate system.[00:14:11] Mikhail Parakhin: Exactly.[00:14:11] swyx: I'm kind of curious if, like, there's this PR mentality and, like, c-- the, the, the CICD paradigm will be changed eventually. Some people are like, obviously a lot of people want new GitHub, but I even wonder if, like, Git is the problem, right?Like, is that the bottleneck? Is the concept of a PR a bottleneck? Do you guys use stack diffs? I don't know if, uh, that's a, like, a merge queue stack diff type of thing.[00:14:34] Mikhail Parakhin: We, we use, we use Stacks, we u- we use Graphite. We worked with, uh, Graphite a lot. Uh, so we use Stack, uh, PRs. I think, uh, like that's clearly the overall CICD in general, and the interaction with the code repository right now is the, clearly the sort of the, the main issue and the bottleneck for us, uh, and highest top of mind.I would say we probably need a different metaphor or different whole design of how to process it in new agentic world. I haven't seen anything dramatically better yet. I, I think everybody right now is just trying to keep their head above the water ‘cause, ‘cause there, there's so many PRs and then everybody's CICD pipelines start creaking, the, the times are increasing, the number of bugs slipping by increasing, and you have to, have to clap on down.And so we are a little bit in this situation when we need to first stabilize that story and then start thinking, hey, what, what it could be a completely different and new world, which I haven't... I know some people working on it. I haven't seen something, like anything super compelling yet, but clearly the old thing were designed for humans will need to be morphed into something new.[00:15:53] swyx: One of the thing that I, I think about is kind of like the merge conflict is basically a global mutex on the whole system, right? And in, in hu- in human organizations, we do have something like that. It's the company standup. But like, other than that, it's like it's actually fitting for us to be somewhat decentralized, somewhat plugged into one stream of information source, but somewhat lossy.Like it's okay, you know, that, that not every delivery is like atomic consistency. Like we're not dealing with a database sometimes.[00:16:27] Mikhail Parakhin: This is a very good point, uh, because since humans don't write code too fast, you know that global mutex is not too bad. Once you-[00:16:36] swyx: Yes ...[00:16:37] Mikhail Parakhin: start writing code at the speed of machine, it becomes the, you know, the bottleneck.Then what do you do? Maybe, and I can't believe I'm saying this because I, I'm long-- lifelong opponent of, uh, microservices, and I always thought that was, like, a really bad idea. And now that you're saying it, like, maybe in new guys like microservices will make a comeback, you know, because then you, you can ship things independently in tiny things and, and the managing all that complexity automatically will be much easier.I don't know. Like, we'll s-- we'll have to see.[00:17:10] swyx: Yeah. I mean, I don't know what the Microsoft or, or Shopify thing is, but I, I read this paper from Google where they have a monorepo that deploys into microservices, right? And then, uh, the other concept that I think about a lot is the Chaos Monkey concept from, from Netflix.Being able to create, like, this robust system where, um, uh, you know, you, you have the service discovery, you have the, uh, the independent, independent microservices discovery and, and, uh, you know, probably going to be a fair amount of duplication. That's how an organic system sort of scales, uh, that, that you have that...I don't know how you call it. Slack? Robustness? Depend-- uh, d-duplication. I, I, I forget the-- I, I'm-- And this-- those-- these are not exactly the terms- Hmm ... I'm looking for, but I c-can't really think of the words. Okay. I was gonna go into Tangent and Tangle. Uh, so, uh, we, we sort of discussed the overall stats that, uh, Shopify has.Uh, but, you know, I, I think some, some pretty cool stuff that you guys are working on is your ML experimentation, uh, and your, your sort of auto tr-research training pipeline. Presumably you're much closer to this one because it's, it's a sort of personal hobby of yours. How, how would you explain them in, together?I thought we have a slide that, like, uh, has the s- the system diagram.[00:18:24] Mikhail Parakhin: Yeah. Tangle first and then Tangent as a-[00:18:27] swyx: Yeah ...[00:18:28] Mikhail Parakhin: as a thing on top of Tangle. And, uh, Tangle is the third generation, I claim, of, uh, systems of, uh, running any data processing, but a bit with a skew for ML experiments, but not necessarily. Any sort of data processing tasks where you need to iterate, share, and you have scale so that you want maximum efficiency.You know how, like, normally you would work, you would-- Imagine you're a data scientist or an ML practitioner, you would get Jupiter notebooks or, or maybe you would get, uh, you know, Pyth- your Python scripts, and you would manage the data, and you produce those TSV files, and you put them in some JFS or something.Then you would notice that, oh, it has this, uh, weird missing values. You go and write another script that, uh, goes and replaces them with, uh-[00:19:20] swyx: Ah ...[00:19:21] Mikhail Parakhin: dash S. And then, then you, then you run some, some, uh, “Oh, I need to filter bots.” And so you run some light GBM model that, uh, removes the bots. And then, then you like-- And then you, you kind of like get into shape, and then you start experimenting, and you run multiple experiments, and then you're like, “Oh my God,” like, “this experiment is worse.”You undo, and you cannot get to previous result. And like, “Ah, what did I do?” Like that. Again, then, then you finally like get everything working. Then you like start throwing it over the fence to production. You, you replicate it, those things don't work, and then sometimes you like don't notice that you forgot some feature naming and the, the features don't match.But then, like imagine you, you did everything, and then six months later you're like, have to repeat it because now there's more data, or you wanted to do another pass, and you're like, “What, what did I do?” Or like, or like, “This script crashes now,” or the, “the path has changed.” And then, then you're trying to, like you spend another month just doing ar- digital archeology on your own, you know, history, right?Now multiply that by many, many teams. Now imagine you got an intern that you wanna ramp up. Now you have to show that intern, “Oh, you know, look, here's the folder, there's the scripts, you know, ask your cloud agent to do, and then, uh, to, to figure it out.” And then cloud agent does something, and then you're, “Ah, yeah, right, right, it was the wrong folder.I forgot to tell you, I actually have this other thing I forgot myself.” And, and that's, that's the, like, the daily life we all, uh, all know it, uh, if, if you're a data scientist, machine practitioner, ma- machine learning practitioner or, uh, or even like any data managing, uh, person.[00:21:00] swyx: Yeah. So I, I used to do this, uh, f- uh, on the quant finance side, uh, in, in my hedge fund.So we did this before Airflow, and then, uh, obviously Airflow came along and, uh, then more recently Dagster, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a pipeline.[00:21:19] Mikhail Parakhin: And that's, that's very good segue because... So Airflow is great, but Airflow is more about you, you have something and you wanna repeatedly run it in production on schedule.It's less about you as a team developing things and being able to share, and you grabbing the standard pipeline and saying, “Hey, I wanna change this tiny little component in the huge sea of data processing, and I don't wanna-- I wanna run ten experiments on this, and I wanna do hyperparameter optimization.”All that is very hard to do with Airflow. It's very easy to do with Tango. Tango is m- more about, it's everything about group of people Running experiments, it might be agents too nowadays. Uh, running experiments cheaply, collaborating, sharing results. Uh, you don't need to understand fully. You, you grab-- you clone somebody else's experiment or somebody else's pipeline, uh, run, uh, change small piece, run it, be, like, get it to production state, and then ship in one click.So then the... You don't have to port it into any other system to, to run in production. You can just run the same experiment. It's, it's fully production ready. And, and it's, uh, it has lots of... Again, as I said, it's third generation system. The original one was, I would claim there was Ether and then, uh, at least in my career, Ether was the first, first, uh, that pioneered this type of approach.And then there was, uh, Nirvana, which, uh, uh, at Yandex, which did kind of sec-second take on this. And now this one aggregates the, the learnings from all of those and, and Airflow as well to, to get to the state where you try it, it, it feels kind of magical. Uh, ‘cause now everything is based on content, uh, hashes.So even if the version changed, but if the output didn't change, nothing is being rerun. It's very efficient. If you... Multiple people start experiment that needs the same sort of data preprocessing, it's not repeated multiple times. It's automatically done only once. If you start ten experiments that all require, you know, some, some data preparation first as the first step, and you don't have to coordinate for that.Like, you don't have to know that other people are starting it. You now, it's very easy compos-, uh, composability, any language you can u- uh, you wanna use, and it's very visual. So you can see immediately, you can edit it easily, you can assemble small things with just even mouse clicks if you want to, and, uh, share, clone.And everybody knows also it's fully kind of static in the sense that we rerun it second time, it will exactly have the same results. Like, you will never have to do digital archeology. So full versioning and everything is also there.[00:24:06] swyx: Uh, so, so people can, uh... It's open source. Go to the GitHub repo and, and, uh, check it out.Uh, and it is also a really good, uh, blog post about it. I think all these is, like, really appealing. The, the, the, the thing that I think sells me the most about it is that, um, sort of development to production transition, right? Which I think, um, a lot of people haven't really solved that, uh, strictly, right?Like, we develop really, really well in, in Python notebooks, but then, you know, that's obviously not a sort of production ready process. I think that, like, any way in which that is solved, I think is, is very appealing. Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.Uh, it surprised me that the savings could be this much, but maybe I just haven't worked at your scale where there's so much duplication, uh, that people just rerun because they change a single ID upstream.[00:25:10] Mikhail Parakhin: It does, yeah. But it's not only you rerun. The, the main savings are coming from the fact that you ran it, you got your job done, and you moved on.Then- Yeah ... somebody else in some department you don't know existed runs the same task, but on a newer version.[00:25:27] swyx: Yeah.[00:25:27] Mikhail Parakhin: Like right now, you can't, in, in most of the organizations, you can't even find out about it so that you can't even measure that you're spending that time twice, right? Here- Yeah ... if everybody's on Tango, that's detected automatically and detected that the output is the same.And then for that person, all it looks like is like experiment just suddenly moved, jumped forward, right? Uh, uh- Yeah ... so that's because, because the, there's network effect of multiple people helping each other.[00:25:51] swyx: Yeah. This is one of those things where it's designed to be a platform from the beginning rather than an individual developer's tool from the beginning, right?And, and everything's gonna streams down from there. That is the sort of Tango, uh, orchestrator, and it's, it manages jobs. We've seen a few versions of this, and this is obviously, uh, uh, the sort of, uh, unique approaches that you guys have, have, uh, figured out. And then there's Tangent.[00:26:14] Mikhail Parakhin: Yeah. And Tangent is basically an automatic auto research loop that can help and kind of do your work for you.Uh- ... you know, uh, effectively, effectively, Andrej Karpathy recently popularized it with auto research. Yes. Remember he said like he was, uh, speed running this, uh... Yeah, uh, you know the story. The, here we're basically bringing the same capability into Tango so that, uh, the, uh, Tangent can analyze it. It's just an agent that can run multiple experiments, figure out what can be changed, and keep on rerunning it, keep on modifying until, uh, maximizing some goal, some loss function, whatever you need to, to achieve.And in general, I would say if you're not using auto research-like approach in whatever you do, like literally whatever you do, then you're missing out. We saw at Shopify that taking like a wildfire, anything where you can put measurements can be done dramatically better. Our-[00:27:19] swyx: Mm-hmm ...[00:27:20] Mikhail Parakhin: uh, speed of, uh, templatization HTML, uh, completely new UX tem- uh, templatization of, uh, reducing latency for liquid themes.Uh, we-- Our, uh, search, uh, recently we moved from It's hard even, uh, quote from eight hundred QPS to forty-two hundred QPS with the same quality just by pure optimizations and not a research loop that kept running and changing code in our index serve on the same number of machines, just increasing the throughput.We, we managed to improve the quality of gisting and machine learning process. Uh, you know, gisting is the prompt compression technique that[00:27:59] swyx: allows for[00:28:00] Mikhail Parakhin: lower latency and, and lower and, uh, actually higher quality slightly. So like literally whatever different walks of life, and it doesn't have to be AI related.Uh, we, we had a reduction in, uh, storage because the agents would go and find data sets that clearly are derivative, uh, and then you don't need to store things twice. You know, we, we, we found somewhat embarrassingly that it was one of the largest tables was hashing random IDs into another random ID, and we literally- Oofput only one. So it was translating, yeah, two random IDs hashed[00:28:36] swyx: into[00:28:37] Mikhail Parakhin: each. So, so[00:28:37] swyx: it has access to the code as well, so it can, it can check the, like what, what the hell is it doing?[00:28:42] Mikhail Parakhin: So there, there cou- it could be run in two levels. You, uh, you know, at the superficial level, it could just use ex-existing components and, uh, reshuffle them.Uh, you know, like you can grab- Yeah ... uh, XGBoost, and you can grab some, some Py- PyTorch module, and then can grab some, you know, grab another tools and, and combine them. At a deeper level, since Tangle is all sort of CLI based underneath you, every, every component is a wrapped really CLI, uh, call and a YAML file, it can analyze code and create new components and, and, uh, keep on iterating as well.So, so you can, you can both have quick modifications of existing t- uh, pipelines with the, with components that are already there pre-baked, or you can create new components, uh, and-[00:29:29] swyx: Yeah ...[00:29:29] Mikhail Parakhin: keep iterating on those. So auto research is, again, this is probably the, the thing I was excited the most in the last two months happening, and we see it taking like, like totally like a wildfire.Just, uh, everybody, every day, every... well, every day, every minute, I would, uh, have somebody Slack message saying, “Oh, look how much better I made it.” And, uh, it's all throughout the research.[00:29:53] swyx: Is this democratized in some way in, in the sense that like is it your ML, uh, engineers and researchers doing this, or is it your regular PMs and software engineers also have the ability to auto-- to use Tangent?[00:30:07] Mikhail Parakhin: This is an awesome question. Like, Tango in general and Tangent in particular are extremely democratizing. Like they- Yeah ... they are the main tools for- ‘Cause I don't[00:30:15] swyx: need the details.[00:30:16] Mikhail Parakhin: Yeah. Exactly. Initially used by ML and AI engineers, but then literally, as you said, PMs are like the highest user right now is one of PMs on our org, uh, Sartak and he was, he was number one by, by usage of, of this ‘cause they're just, uh, energetic and knowledgeable, and now it, it unlocks a lot of capability where you don't have to co-change code manually.[00:30:39] swyx: I mean, I mean, because it kind of cuts out the ML, ML engineer from the process because the, the, the PMs have the domain knowledge and the ability to think about, uh, from first principles about, okay, what, what results do I want? And they can-- they even have the access to the data that, that needs to go in.So it's like in some ways, like this is the magic black box that we've always wanted for, for training and, and for, uh, I guess, uh, uh, hill climbing, whatever.[00:31:04] Mikhail Parakhin: It's basically cloud code for your AI development- ... uh, situation, right? Like now, now you don't have to know exactly how algorithms work. You can just, uh, bring your domain knowledge and expertise and product knowledge and iterate within Tangent until you've gotten the results that you need.[00:31:21] swyx: In my previous roles, every time that someone has pitched AutoML, you know, I've always been like, “Uh, this is not, this is not gonna work. It's, you know, it's, it's always gonna be a flop.” Somehow it's working now. I mean, presumably the answer is now we have LLMs and it's good enough, right? It's, it's an emergent property that we can do auto research, but like, it doesn't feel that satisfying that how come we didn't do this before, right?Like we just did like parameter search and like, I don't know. That's maybe that's it.[00:31:48] Mikhail Parakhin: Yeah. Bayesian optimization and hyperparameter optimization was, was the one that, or facet of AutoML that was used very actively, which incidentally also built into, uh, Tango. But, you know, I know Patrice Simard very well, and, uh, he was such a, uh, such a proponent of AutoML, and he put, like literally spent careers trying to democratize it.Without LLMs, it just turned out to be very hard. Like it, you, you would have flexibility within certain narrow domain, but it was hard to wider scale, and now with LLMs suddenly it's like magic wand, and so suddenly everybody- ... is an AutoML expert.[00:32:28] swyx: Yeah, I, I think it's multiple things, right? Like I'm, I'm just gonna bring up the, the, the chart again, right?Like LLMs can do the monitoring very well. That is the very potentially unbounded, super unstructured. It can do the analysis very well, it can do the... Uh, and basically it is much more intelligence poured into every single step. Uh, there's maybe nothing structurally changed about AutoML, but this is just m-more intelligent and more unstructured.[00:32:53] Mikhail Parakhin: Exactly.[00:32:54] swyx: Any flaws that you've run into? Like everyone is like drinking the Kool-Aid, oh my God, time savings, uh, you know, performance improvements. Like what, what, uh, issues have you have, uh, come up?[00:33:06] Mikhail Parakhin: This is really cool. It's not a solution to all the world's problems for sure. The limitations are usually the ones I-- And this is where we get into a bit of a subjective territory.Uh, I can only share what I've, I've seen so far, and I'm sure the situation, uh, is changing, and, you know, maybe after I say it, like many people will reach out and say, “Hey, what about this?” And you don't know that, and then, then we'll be probably right. But what I've seen is auto research is very good at doing kind of obvious things that you don't have bandwidth to do or you didn't notice or maybe you're not aware of like the-- some standard practices.It is not good at doing something completely out of distribution, something that, you know, you have to think for, for multiple days, uh, and, and do something like none of this. So, so it's, uh, I, uh, set an experiment once, uh, on, on my sort of, uh, hobby thing, and I let it run for, uh, ended up, uh, several weeks run, uh, you know, it's like full production kind of scale, so it, you know, slow runs and, and it ex-- it performed in the end, uh, over four hundred experiments, and only one was successful.I'm like, “Okay, that's, that's good.” But-[00:34:18] swyx: But it saved time.[00:34:19] Mikhail Parakhin: Yeah, I saved time. Like it, it was the, that thing. Yeah, if I, if I were doing four hundred experiments myself, my betting average, as I said, would have been much higher, I'm sure. But also, first of all, it would take me like three years to do four hundred experiments.And, uh, I didn't have to do them. Like the machines were just, uh, the price of electricity did that. So, and I got one improvement, uh, that in, uh, my, my-- Honestly, when I was starting that experiment, my thinking was to go and show that, “Hey, Andre, maybe you just don't know how to optimize.” And I was super smart because in, in my pro-problem, it was optimized for many years, and it was like fully improved.Uh, and I didn't expect it, you know, auto research to find anything at all. Yet it did. So instead of making fun of Andre, I ended up, uh, a big, big supporter. Yeah, that's exactly the tweet. Yes.[00:35:10] swyx: You and Toby really, really go back and forth on-online a lot, which is really funny. Uh, think of it as, as an eval for the optimalness of the code it's running on.Uh, it's almost like it reminds me of like a Kolmogorov complexity thing, but, uh, I guess it's-- there's some optimal thing that you're trying to sort of reduce down to, I guess. Um, and so, so you, you, you know, you should congratulate yourself that you had, uh, you know, uh, ninety-nine percent, uh, optimality.[00:35:36] Mikhail Parakhin: Exactly, yeah. I think Andre really deserves a lot of credit for popularizing this approach. This is, uh, this is incredibly, I think, powerful and cool and You know, the, uh, even him, him just mentioning it led to a lot of gains in a lot of places in the industry, so we should be thankful.[00:35:56] swyx: Yeah. I think he also has a just...I don't know what it is. Like, um, you know, it, it is a simple self-contained project that people can take and apply to other things, which is, is, is one thing, but also just the name. Just like somehow no one, no one managed to call their thing auto research. It's just naming things is very important. I think that that is mostly, uh, our coverage of Tango and, and, uh, Tangents.I think obviously, you know, there's a lot of, uh, ML infra at, at Shopify that people can, uh, dive into. We're about to go into SimGym, but before I do that, any, any other sort of broader comments around this whole effort? Like where is it, where is it leading to?[00:36:36] Mikhail Parakhin: As a segue to SimGym, like all those things start composing strongly.And, uh, you could see a huge unlock when you can look at each one of the tools and, and you see, oh, they're extremely useful. Uh, Tango is useful by itself. Auto Research is useful by itself. SimGym is useful by itself. If you combine all three, you create like synergetic effect. I think that's why we wanted to even, uh, cover them today is because this is something that if you go back even, you know, five years ago, would've been unthinkable.Uh, replicating that, uh, would, would be either incredibly costly or impossible, right? With probably thousands of people are required.[00:37:20] swyx: Well, we have serverless human, uh, serverless intelligence, right? Like, uh, so yes, you do have thousands of hu-- of, of intelligences, not just, not humans. And that's, that's close enough, right?Even if they're not AGI, they're, they're close enough to do the, the task that you need them to do. And, and, you know, that's, there's plenty for, for a lot of routine work, knowledge work. Okay, let's get into SimGym. Um, this is one of those things I, I was surprised to see actually it's apparently your, uh, one of your most popular launches, and I think something that, uh, I think Sim AI, I think Yunjun Park, who did the Smallville thing, there's a very small cottage industry of people trying to do like the simulate customer thing.I think a lot of people maybe don't super trust this yet because they're like, well, obviously they would just do what you prompt them to do, right? But maybe just think, uh, tell us about the sort of inspiration or origin story.[00:38:10] Mikhail Parakhin: That's exactly actually the thing I wanted to cover, because if you don't have the historical data, all you can do is prompt a-agents in a vacuum, and they will do exactly what you prompt them to do.In fact, when I first proposed it, and this is a bit of, um, my brainchild initially, if I, I can boast, even Toby said like, “But wouldn't they, they just repeat what, what you tell them?” And, uh, but I'm like, “Yes, except Shopify has decades of history of how people made changes and what there is, uh, there, what it resulted in terms of sales.”So now what we can do is we can-- we have this... It's not, it's a noisy data. There's a small, usually websites, uh, you know, like things, things are never in isolation. It's almost never AB experiment. It's always AA experiment when there's has two meanings, but basically, you know, in different time you run two different things.But if you aggregate in general, uh, like everything together, and you apply, uh, denoising and collaborative filtering like approach, you can extract a very clear signal. And then you can optimize your agents. And that's why it took so long. It took almost a year of that optimization of just us sitting and fiddling, and, and we had this internal goals of correlation of hitting-- internal goal was to hit zero point seven correlation with, uh, add to cart events, for example.Like that, that if we run real AB test experiment, that it should, it should go and, and rep-uh, replicate, uh, same sort of success that, that humans had or lack thereof. And it, it took forever, and I don't think that's easily replicatable because, uh, like who else would have that data? You have to have this historic, you know, decades, uh, worth of data.And now, now the, like the other thing you need is in-infrastructure and the scale, right? Because, uh, w- again, what we found, uh, stat sig results, you need to run a lot of simulations, a lot of agents, and, and it's-- Those are expensive things. Like you're, you're making actions in the browser because you want a real friction.You want to, to be able to get the image like of what humans will see because you wanna, uh, detect effects like, “Hey, if I make my images larger, will I have more sales or l- uh, fewer sales?” And like usually people's intuition here, by the way, is that I increase my images, I will have more because they look nicer.You know, designers all look sparse and big images. Like usually your sales tank, right? But, but, uh, you know, from HTML, all the characters look the same only the, the size tag looks different, right? So it's very hard. So you have to take visual information, you have to run this in simulated browser environment on the big farm and, and of course, you have to have, uh, like very, very expensive model, good model with multi-model model.So all this it's-- is what's taken so long and, uh, to share my personal fail a little bit there, Sean, is like, you know, we always had this bias to-- for like large company bias. You know, we always, uh, whenever you-- we do, we're like, “Hey, we'll run an experiment,” right? We make, make a change, and we will run an experiment and then, uh, see, uh, see which one's better or like, “No, this is worse,” and most of them are worse, so you discard it and keep iterating, hill climbing.And we're like, “Oh, like smaller merchants, they cannot get stat sig results. They cannot really run experiments simply because, you know, in a week there would be not enough data for them.” So we thought from this perspective. What we didn't realize is that most people don't have A and B, they just have one thing, and they need suggestions of What A and B should be.So, uh, we first build this, hey, we run simulation on two separate teams and, and, uh, say, “Hey, which one is better?” We then morphed it into, and very recently just released it, when you have just your site, your theme, we run over it and we say, “Hey, here's what predicted values of, of, uh, uh, conversions are, and here's how we think you should modify it to increase your conversions.”And then circling back to what you started with, the proof is in the pudding. Like, if we are not correlating with reality, like, people will not be using it. And, uh, thankfully, we see literally every day more users than the previous day. So, so right now, uh, right now- It's working. Yeah. I'm-- Right now my problem is how to pay for it all because the so our major thing is how to optimize the LLMs, do distillation, how to run the headless browsers, uh, and handful browsers, uh, uh, cheaper so that we can accommodate the increase in traffic.[00:42:47] swyx: Yeah. I, I understand that you, uh, you published a lot of technical detail at GTC, so I was just gonna bring it up a little bit. I think s- was this in, in con-conjunction with some kind of GTC presentation? Or something like that, right?[00:42:59] Mikhail Parakhin: Well, we, yeah, we, we did it in several place, but yeah, we had the engineering- Yeahblog, uh, as well. Yeah.[00:43:05] swyx: Yeah. So you're running, uh, GPT OSS. Uh,[00:43:08] Mikhail Parakhin: the, this is an older version. You know, now we run multimodal model. But yeah- Yeah ... GPT OSS, we still run GPT OSS as well for[00:43:15] swyx: And then you have the VMs, and you also have browser-based. I really like this one where it you said, “It violates almost every assumption that standard LLM serving is designed for.”And then you had like, basically orders of magnitude differences between everything.[00:43:29] Mikhail Parakhin: Exactly. Which is, which, uh, which was, you know, a bit of a challenge to implement, like when, like even simple things. Uh, be- since it violates all the assumptions, for example, multi-instance GPUs, like MIGs don't work as well.But we needed, uh, to get MIG to work because, ‘cause otherwise it's way too expensive. And so we had to deal with the, yeah, with, uh, lots of infrastructure and, and, uh, work with, uh, uh, Fireworks and CentML, uh, you know, to help with optimizations and browser-based, as you mentioned. Yeah, like, takes a village.[00:44:04] swyx: Okay. So there's a lot of like, I guess, experimentation in the infrastructure so far, and you've published more or less what you have here. I guess I'm, I'm less familiar with CentML. I, I don't do, uh, that much work in this, this part of the stack. But why was it the sort of preferred instance platform?[00:44:22] Mikhail Parakhin: There are really three probably top companies. There used to be, uh, uh- Three top companies, uh, at least I was aware of that did, uh, LM optimization. You know, together Fireworks and Santa ML, not necessarily in that order. Santa ML recently got acquired by NVIDIA. Uh, what they did is if you have a model and you want to optimize it to a specific prof-- uh, profile of usage, uh, they would go and do it.And, uh, we work with, with those companies, uh, this was work particularly in with Santa ML and NVIDIA to get them the best possible results out of it. And, and sometimes you, you have to retune depending on, like sometimes you want the maximum throughput, sometimes you want minimal latency, sometimes you want like the cheapest, right?And, yeah, or some combination. And so yeah, these are people who would come and help you.[00:45:14] swyx: I see. I see. Yeah, yeah. I'm familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there's a lot of diffusion as well.[00:45:38] Mikhail Parakhin: Exactly.[00:45:38] swyx: There's a lot here, so I, I, I... it's, it's, uh, it's, it's, it's hard to cover. But I, I do think like people underappreciate the importance of customer simulation, basically. I think this is something that I'm candidly still getting to terms with. Uh, you know, uh, you also-- your team also like prepared this, like, really nice diagram.Uh, I, I assume this is AI generated.[00:46:00] Mikhail Parakhin: Yeah, it looks-[00:46:01] swyx: Maybe it's not.[00:46:01] Mikhail Parakhin: Yeah, it looks, uh, Gemini-ish. Yeah, but, uh, uh, honestly, I, I don't know where, where the hell they generated. It looks, look, uh, looks like it's, uh, Google. But the interesting part, John, that, that, uh, we haven't covered, but I, I wanted to mention is if your store had previous customers, rather than it's a new store, you're like new merchant just launching things, it helps tremendously in just correlation and forecast.Yeah, we take your previous, uh, customer's behavior, and we create agents that replicate those specific distribution of, of customers that you get, and then we a- we apply those to your changes, and then that, that raised raw, you know, the re-- uh, just correlation with the add to cart events or to-- with conversion or whatever it, it, it may be, uh, quite dramatically.So, uh, replicating humans in general seems like an interesting, cool challenge.[00:46:58] swyx: As a shareholder, I think this is the-- like if people are Shopify shareholders, they should really deeply understand this because this is basically the moat. The, the more you use Shopify, the more it will just automatically improve, right?Like you're, you're doing the job for them.[00:47:13] Mikhail Parakhin: Yeah, that's what we started with. Like, uh- ... uh, otherwise, if you're just a startup, I wouldn't do it if, uh, you know, if it was my startup because Without the data, it, yeah, as, as you said, it's, it's exactly the case that, uh, whatever you say in prompt, that's, that's what the agents will be doing.[00:47:30] swyx: The statistician in me wants to like really satisfy the sort of, um, statistical intuition, I guess. Um, to me it's kind of, uh, the, the word that comes to mind is, um, ergodicity. Uh, so let's say a, a customer takes this path, customer takes this path, customer takes this path, right? Um, the... In my mind, the way I explain it is like, okay, here, here's the ninety-five percentile, here's the five percentile, and here's the median, right?Um, but to me, what SimGym is potentially doing is that it can, uh, modify... It can sort of model the sort of in-between sort of journeys as well, that, that maybe are dependent on the previous states. This may be like a very RL-type conclusion where like basically the summary statistics, if you only did naive AB testing, you only have the, the statistics at, at, at a certain point, and you only judge based on the sort of overall summary statistics.But here you can actually model trajectories. Does that make sense? Or-[00:48:31] Mikhail Parakhin: That makes total sense because like, well, that, that makes even more sense that maybe even you realize bec- because-[00:48:38] swyx: Okay. Please,[00:48:38] Mikhail Parakhin: please. Yes ... we do-- Yeah. The, so internally, uh, we have this system, we talked about it briefly once at NeurIPS.We have a huge HSTU-based system that models the whole companies, uh, and their possible paths. And like- Yeah ... what you are, what you are showing, like actually at any point of time, you can either model the user's behavior or you mo- can also think about, uh, the whole merchant as a company, as the entity that acts in the world.You can model that as well. And then you can do, can do counterfactuals. In your graph, like in your blue graph, uh, if you're... Imagine in the center there, uh, somewhere in the middle, you would have an intervention. I give that person a coupon, or I don't know, I send a personal thank you card, or give a discount in some- somewhere.And then you can, uh, then you can do forward rollouts from that counterfactual. So what would have happened with that intervention or without the intervention? And you can even ch- change where that intervention, uh, in time can happen, right? Like some- where, where in this journey. So we, we do this at the Shopify scale for our merchants, and then if we notice that something that they can be fixing, like there's a strong counterfactual, like we have Shopify policy, they basically get a notification like, “Hey, we think your...something is wrong with your-” I don't know, Canadian sales. Like, uh, it looks like it's misconfigured. Here's what you need to do. Or do you think like, uh, you have to set up this campaign with these parameters? And we do that at the buyer level to literally offer discounts or cashback or, or things to buyers.So this is-- I'm getting very excited. Like this is my sort of area of, uh, interest, I guess, and, and hobby. But being able to m-model something complex as human beings or companies and model counterfactuals on it, where you can have interventions in the future and optimize when to make intervention, what kind inter-- uh, what kind of intervention to make.It's such an unlock that previously was completely impossible. Like the-- it was, it was always dreamed of, but never... Like how would you even simulate it without LLMs or HTUs? I think very, very exciting times.[00:50:59] swyx: I just wanted to, uh, to maybe illustrate this. I, I'm not the best illustrator, but I, I am a conceptual statistics guy.And y-you know, you cannot just do this. Like this is a dimensionality AB test doesn't do, right? Like, uh, because it doesn't have the, the, the change over time, uh, stochastic nature, uh, and it doesn't have the sort of contextual like... Here's all the context to this point. Um, okay, cool. Um, that's SimGym.You're, you're gonna burn a lot of tokens on this thing. But you're, you're one of the, the only scale platforms in the world that can, uh, that can do this across a huge variety of workloads, right? I'm even curious on a sort of human, uh, research level of like, well, do, does retail behave d-differently from like clothing sales?D-does that behave differently from electronic sales? I, I don't know. I don't know what else you guys... The Kardashian shoppers, do they differ from like people who buy, uh, I don't know, cars and, uh, whatever.[00:51:55] Mikhail Parakhin: Well, very different, and different sensitivities and different modes of, uh, shopping and, and different levels of what's important.Now, to-totally, you can do aggregations at, uh, at a store level. You can do aggregations at a different, uh, category level. I don't know if, uh, you know, for our statisticians among us, I couldn't believe, but we-- recently we're looking at it, and we had to bring back, uh, CRPs, you know, Chinese restaurant process.It's a, like, way of aggregating and, like, naturally grow clustering. So across... Specifically to answer questions that, uh, like you were just posing on how, how if, if buyers behave different categories. And I'm like, “I haven't seen CRP since two thousand and one.” It's[00:52:37] swyx: so What? It's so- What is... No, I haven't, I haven't seen this.No. This is not in my training. Uh,[00:52:44] Mikhail Parakhin: but, but yeah, it, uh, uh, it actually, like the, the-- there was a very popular kind of theory, popular neurips HTML circles in early two thousands, uh, kind of nice. And now, now it has practical applications, uh- Yeah ... that we were resurrecting.[00:53:03] swyx: Yeah, amazing. Uh, I, I can see, I can see how this is like a, uh, a fun job for you where you get to apply all these things.Um, yeah, yeah, so super cool. Super cool. So, okay, so, so anyone who, who knows what CRPs are and has always wanted to use them at work, uh, they should, they should definitely join Shopify. Okay, so w-we have a lot and but I, I'm, I'm being mindful of the time. I, I do wanted to, to sort of cover some other things.Um, I-I'll give you a choice, UCP or Liquid?[00:53:30] Mikhail Parakhin: Liquid. I think, I think on UCP, you know, like UCP is very important for us and, and it just we are-- UCP, we have a structured, uh, discussions, and you can read about them, and we have, uh, blog posts, and we have a big release this week, in fact, like with our catalog.Oh,[00:53:46] swyx: okay.[00:53:46] Mikhail Parakhin: Uh, yeah,[00:53:46] swyx: but- Le-I mean, we, we can, we can discuss the, the, the release briefly because we'll release this after the-- after it's already announced so whatever. There's a catalog that you guys are doing?[00:53:55] Mikhail Parakhin: Yeah. So we are, we are- Okay ... we are bringing in capabilities of a whole, uh, Shopify catalog.Basically, you now you can search for products, you can do lookups by specific ID, you can do bulk lookups when you need to bring m-multiple products. You don't need to know in ad-in advance what you're trying to show or to sell or check out. Like, you can now, you can now have this decided at, at runtime, and this big area for investment for us for both non-personalized and personalized searches, trying to provide basically a win-window into whole universe of products that are being sold everywhere in the world.And Shopify is really not exactly, but almost like a super set of any-anything being sold. Now we are bringing it into UCP and, uh, and, uh, identity linking is another big thing for us, uh, so that you, you can use, uh, like Google or whatever, whatever identity you have, uh, they're minimizing friction.[00:54:56] swyx: Yeah. So[00:54:57] Mikhail Parakhin: yeah, big release for us.But Liquid AI of course we never talk about, and the problem might be more, more aligned with what we d-discussed previously on this chat.[00:55:07] swyx: Sure. The main thing that everyone understands about Liquid is that it is inspired by Worm, and I still don't know why. I'm curious on your explanation. I think you, you, uh, you can make things very approachable.And also I think like what is the potential of like the, the level of efficiency that you get out of Liquid?[00:55:23] Mikhail Parakhin: You- we all familiar with transformer architectures. And, uh, for the longest time, there was a competing architecture, it's called the state space models. So, so Sams, uh, you know, Chris, Chris Reyes, one of the pioneers and, and lots of startups, uh, trying to make those realities.They have, uh, significant benefits being main being, uh, being much faster and, uh, lower footprint and not quadratic in length, you know, sort of, uh, linear in, in, uh, in your context length. But with state space models- They never quite made it. Like they're used-- They have, uh, certain niches when they thrive, their hybrid architectures are useful, but they never quite made it.And liquid neural networks are, you can think of them as a next step, like, uh, sort of, uh, state-space model square. It's non-transformer architecture that's more complicated than sta-state space and really difficult to code if you-- if I'm being honest. But it's, um, very efficient. It's, uh, subline-- sub, uh, quadratic in, in length of your context.Uh, it's very compact way to represent things, and that's a liquid AI company. They... Their goal is to productize it, and very often you have this need, uh, when you need to have long context and small model, and you want to have low latency. Like in general, it's basically on par with transformers, and if you do hybrids with transformers, it's, it's even better.That's why we at Shopify, when we tried multiple and we constantly try multiple models, multiple companies, we found that for small, particularly with low latency applications, when you have low latency and/or if you need longer context lengths, liquid was the best. And so we still use the whole zoo and always like obviously test and use everything, uh, every open source model and, you know, it feels l

幻冬舎の暗号資産（仮想通貨）/ブロックチェーンなどWeb3領域の専門メディア「あたらしい経済 https://www.neweconomy.jp/ 」がおくる、Podcast番組です。 ーーーーー 【番組スポンサー】 この番組は、暗号資産取引におけるフルラインナップサービスを提供する「SBI VCトレード」のスポンサーでお届けします。 ーーーーー SBI VCトレードは、「暗号資産もSBI」のスローガンのもと、国内最大級のインターネット総合金融グループであるSBIグループの総合力を生かし、暗号資産取引におけるフルラインナップサービスを提供しております。暗号資産交換業者・第一種金融商品取引業者・電子決済手段等取引業者として高いセキュリティ体制のもと、暗号資産の売買にとどまらない暗号資産運用サービスや法人向けサービスの展開、さらにステーブルコインのユーエスディーシー（USDC）を国内で初めて取り扱っております。 ーーーーー SBI VCトレード公式サイト：https://account.sbivc.co.jp/signup?hc_ak=1RNML.3.M06AS ーーーーー 【紹介したニュース】 ・ANAPが今月3度目のビットコイン追加購入、総保有数は約1432BTCに ・スイ上のVolo Protocolでエクスプロイト、約350万ドル規模の被害。一部資産は凍結成功 ・レイヤー2のアービトラム、ケルプDAOインシデント関連の約3万766ETH凍結 ・カーブ創設者、DeFiの安全基準策定を提言。イーサリアム財団とソラナ財団に言及 ・モルガンスタンレーの「ビットコイン現物ETF」、取引開始から10営業日で保有額約1.42億ドルに ・コインベース、英国で暗号資産担保ローン提供開始。BTCやETHでUSDC借入可能に ・テザーの投資ファンド、ビットコインマイニングのAntalpha株8.2%保有 ・ステーブルコイン決済「レドットペイ」がスイと提携、SUIとUSDCの決済・送付機能を提供へ ・東京大学、ワールドのAMPCネットワーク参画 ・ワールド、World IDを大幅アップデート。TinderやZoomなどで「人間証明」展開へ 【あたらしい経済関連リンク】 ニュースの詳細や、アーカイブやその他の記事はこちらから https://www.neweconomy.jp/

Alan Watts explores the inseparable dance between structure and formlessness, revealing why the universe can never be fully captured by words alone.Today's episode is brought to you by BetterHelp. Give online therapy a try at betterhelp.com/alan and get on your way to being your best self.This time on Being in the Way, Alan Watts outlines:Two distinct schools of thought: those who focus on structure, and those who focus on what Watts calls ‘goo'How fixating on practicality is like knowing all the words to a song without ever truly hearing the musicThe difference between a scientific perspective and a spiritual perspective Why structure and formlessness are inseparable aspects of the same cosmic processUnderstanding that the universe cannot be explained with words aloneThis series is brought to you by the Alan Watts Organization and Ram Dass' Love Serve Remember Foundation. Visit Alanwatts.org for full talks from Alan Watts."What is it? What is this universe? What is an atom? What is energy? The only answer that would really please me wouldn't be an ordinary answer, because it wouldn't be in words." –Alan WattsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailBest known for his work in organizational development (OD) spanning over three decades, Dr. Douglas O'Loughlin won over our listeners when he first came on this podcast four years ago. The episode was among our top listened episodes of all time! And today, the OD OG, the guru of OD is back to share from his treasure trove of insights and knowledge, and his belief that organizations and communities can be life-giving spaces for each and all.Originally from the US, Douglas has been living in Singapore since 1993, where he is the Principal of The Dao of Thriving, as well as being an Associate Consultant with Civil Service College, and has done projects in more than 20 countries. Douglas has co-founded several OD Networks, written numerous articles and blogs, spoken at global conferences, is a TEDx speaker, and has also written the books ‘ANDlightenment: Polarity Thinking from Self to Society' and ‘Facilitating Transformation'.Hit play for the lowdown! [3:35s] What has changed in OD since 2022[12:00s] OD in the age of AI[20:45s] Common OD challenges today [32:13s] His work on Polarity Thinking [40:25s] OD in the near future [45:00s] Top tips for OD practitionersRWL: Read: ‘OD for the Accidental Practitioner' by Larry Kokkelenbeeg and Regan Miller; Douglas' books ‘ANDlightenment: Polarity Thinking from Self to Society' and ‘Facilitating TransformationConnect with Douglas on LinkedIn Connect with Vinay on X and LinkedIn What did you think about this episode? What would you like to hear more about? Or simply, write in and say hello! podcast@c2cod.comSubscribe to us on your favorite platforms – Google Podcasts, Apple Podcasts, Spotify, Overcast, Tune In Alexa, Amazon Music, Stitcher, Jio Saavn and more.  This podcast is sponsored by C2C-OD, your Organizational Development consulting partner ‘Bringing People and Strategy Together'. Follow @c2cod on Twitter, LinkedIn, Instagram, Facebook 

Mark Piano, Director and Consultant at Horizons Global, joins Bitcoin.com News to discuss the future of yen-backed stablecoins, Japan's evolving crypto regulations, and how legal frameworks are shaping the next phase of Web3 growth.In this episode, Mark explains why Japan's regulatory clarity could become a major advantage for blockchain builders, and how yen stablecoins may unlock new opportunities in tokenization, DeFi, and cross-border finance. He also breaks down the role of offshore structures, including Cayman foundation companies, and why they've become a standard for Web3 projects globally.From Bitcoin's early real-world use cases to the lessons learned from the DAO hack, this conversation explores how law, infrastructure, and innovation intersect in the crypto industry.Topics include: stablecoins, Japan crypto regulation, Web3 infrastructure, tokenization, DeFi, offshore finance, Cayman foundations, Bitcoin adoption, and global crypto markets.Chapters:00:00 – Introduction01:08 – Bitcoin Utility in Myanmar (No ATMs)02:30 – The DAO Hack & Becoming a Crypto Lawyer03:45 – Moving to the Cayman Islands04:50 – Why Cayman Became a Crypto Hub06:05 – What Are Cayman Foundation Companies?06:45 – Why Ownerless Foundations Matter in Web308:00 – Onshore vs Offshore Structures14:13 – Directors' Fiduciary Duties Explained16:33 – Why Mark Is in Japan17:18 – Yen Stablecoins & Tokenization Opportunities19:58 – Offshore Stablecoin Issuance21:09 – Institutional vs Retail Market Access

The overtly intimate relationship between tech industry leaders and politicians is on frequent display in newspapers and on screens today. In an international context, this builds on a long history of corporate involvement in shaping favorable policy. In his latest research, André Dao, postdoctoral fellow at the University of Melbourne, traces the long history of IBM and its predecessor the Tabulator Machine Company, as actors on the international stage, especially with respect to countries in the Global South. Using multiple collections held in the Hagley Library, Dao reveals a potential revolution amongst Third World countries vying to control multinational corporations and to foster their own computer industries, that was met and reversed by a counter revolution led by major Western firms and their institutional allies. In support of his work, Dr. Dao received finding from the Center for the History of Business, Technology, and Society at the Hagley Museum and Library. For more information and more Hagley History Hangouts visit hagley.org. To make a donation underwriting this program and others like it please visit our Eventbrite page: https://www.eventbrite.com/e/underwriting-donation-tickets-1470779985529?aff=oddtdtcreator

Free will is usually treated as a human question — do we have it, or are we determined? In this Living the Tao Short, the discussion moves in a different direction entirely. Starting from a Taoist premise that everything is Dao, the conversation explores what that means for equality, change, and the nature of choice. If the Dao neither favors nor disfavors anything, then how does anything happen? The answer leads to a surprising conclusion: choice is the mechanism of change, and choice exists everywhere — not just in human thought. Along the way, this short episode challenges several assumptions: That humans primarily choose through rational thinking That free will belongs only to conscious beings That having free will means unlimited options That change comes from intellect rather than energy Instead, choice is framed as an energetic process expressed differently across all things. Humans experience it one way, but the same principle applies universally. Even a rock, in its own way, may be exercising choice. A brief conversation designed for reflection.    

Crypto markets stabilize with Bitcoin above $65K and altcoins like SOL, ETH, and XRP posting stronger rebounds amid easing oil/geopolitical pressure. Google's quantum whitepaper lowers the qubit threshold for breaking crypto encryption (20x fewer resources), urging post-quantum upgrades by 2029 and boosting quantum-safe tokens. Drift suffers major Solana exploit (~$200M+), while regulatory progress continues on CLARITY Act and DAO laws. Institutional treasuries mixed (Metaplanet buys big), with April catalysts like tax flows and legislation in focus—markets show cautious recovery but remain sensitive to macro risks. Hosted on Acast. See acast.com/privacy for more information.

Welcome back to the People's Guild.This episode brings a deeper, more strategic conversation as we unpack one of the most important proposals in the history of the DAO — the evolving relationship between the DAO and Steem Monsters Inc. Joined by Clay, Dave, and the crew, this discussion centers around what it really means to move toward a more aligned, community-owned future for Splinterlands.We dive into the proposed funding structure, IP ownership, and long-term vision of transitioning from a set-by-set funding model into a more stable, contract-driven approach. From revenue streams and Battle Pass concepts to DAO co-ownership and sustainable growth, this is a wide-ranging look at how the ecosystem could mature into something far more structured, transparent, and scalable.It's thoughtful, forward-looking, and at times philosophical — the kind of conversation that doesn't just react to where the game is today, but actively shapes where it's going next.Enjoy the show!

Enjoyed our podcast? Shoot us a text and let us know—because great conversations never end at the last word!This week on TezTalks Radio, host Brandon Langston sits down with Ryan Tanaka, a longtime builder in the Tezos art ecosystem behind projects like TEIA, teia.cafe, and Tezcon.The conversation starts with a moment many remember, when Hic et Nunc shut down. For some, that was the end. For others, including Ryan, it became the reason to rebuild.

The Space Show Presents Frank White & Pablo Moncada-Larrotiz on Decentralized Funding For Democratizing Access to Space, Friday, 3-27-26Quick Summary:The Space Show featured a discussion about MoonDAO, a decentralized autonomous organization (DAO) that funds space-related projects, with co-founder Pablo Moncada-Larrotiz and Frank White, who is seeking to experience the “overview effect” through a spaceflight. Pablo explained how MoonDAO uses blockchain technology to raise funds and coordinate global projects, including previously funding two spaceflights. Frank discussed his lifelong ambition to experience the overview effect and his plans to study how different spaceflight experiences compare in producing this phenomenon. The conversation explored broader topics including space colonization versus settlement terminology, cultural considerations around space exploration, and the potential for AI to experience the overview effect. The discussion also touched on current space industry challenges, including Blue Origin's temporary suspension of flights and the competitive landscape among commercial space carriers.Summary:Pablo started the program and explained the concept of DAOs (Decentralized Autonomous Organizations) and shared an example of a crowd-funded effort to purchase the U.S. Constitution, which raised $47 million in one week through Ethereum transactions. He described how this same model was later applied to fund space missions, including sending two people to space and supporting over 80 community-proposed projects through a governance model.Pablo and Frank discussed their efforts to send Frank to space, including negotiations with Blue Origin and other potential carriers. They have raised nearly $1,000 so far and have researched various options from stratospheric balloons to orbital flights, including a potential lunar mission. David raised concerns about cultural issues regarding lunar missions, particularly from the Navajo Nation, which Frank acknowledged as important considerations for space exploration. Frank expressed his commitment to respecting different cultural perspectives and mentioned his work on developing outer space mediation to address such conflicts.The group discussed the terminology around space exploration, focusing on the differences between “colony,” “settlement,” and “community.” Frank explained that while “colony” carries historical connotations of exploitation, “settlement” and “community” might be more inclusive and positive terms. The discussion highlighted how language can impact people's perceptions, with Ajay noting that “colony” has negative associations for those from former colonies. The conversation also touched on governance models for off-world settlements and the potential for developing new forms of governance that could influence Earth-based systems. Frank shared insights about MoonDAO's democratic approach to space projects and questioned whether people living permanently off-world would develop a different perspective on Earth and space.Pablo explained that Frank's space mission has a 30-day fundraising deadline, with a minimum goal required for Frank to go to space, after which funds would be refunded if the goal isn't met. The mission aims to send two people to space, with anyone funding over $100 eligible to compete for a seat alongside Frank. Frank discussed his views on space exploration and nationalistic approaches, explaining that while he originally saw space exploration as a distraction from war, he now believes the focus has shifted toward national competition rather than international cooperation, which he sees as a missed opportunity.Our discussion also centered on space exploration and the placement of AI data centers, with participants debating the merits of off-planet versus Earth-based facilities. Marshall and Frank discussed Elon Musk's proposal for space-based AI centers, while David and others expressed skepticism about regulatory challenges and costs compared to terrestrial options like Meta's $27 billion facility in Louisiana. Pablo shared insights about international cooperation and competition in space, citing historical examples and drawing parallels to Olympic competitions. Frank reflected on his upcoming spaceflight and the “overview effect,” sharing his approach to experiencing weightlessness and his collaboration with Christina Starr on developing a training program for commercial astronauts.Frank discussed his plans to test whether an AI chatbot could experience the overview effect during a flight. He explained how GPT-5 created a protocol to simulate the experience, and Frank plans to implement this in a real flight setting using metaglasses or similar technology. The group discussed the potential physiological aspects of the overview effect, including the impact of weightlessness and the importance of both visual and physical sensations. Frank shared insights from his interviews with suborbital astronauts, noting that many had profound experiences despite the shorter duration of their flights.Frank then talked about the concept of the “overview effect,” comparing it to Plato's Cave and describing how astronauts experience a profound shift in perspective when viewing Earth from space. David shared his observations that some astronauts, particularly those focused on quantitative aspects of space travel, may not experience the overview effect due to being overly engaged in technical details. The discussion concluded with an acknowledgment that personal mindset and openness can influence whether someone experiences this transformative perspective shift.Our Space Show team discussed Frank White's mission to go to space and the opportunity for others to contribute through Moondao.com. Frank explained that contributions can be made through a simple website using email and debit card, with refunds provided if the mission doesn't happen. The discussion touched on the potential benefits of the overview effect, including its philosophical implications for humanity's evolution and potential impact on global cooperation. The group also explored the possibility of sending congressional leaders to space, though this would depend on future leadership and security approvals. Pablo provided information about MoonDAO's quarterly funding cycles, with a current deadline of April 9th for project proposals, and explained that research initiatives and publications tend to be well-received by the community.Special thanks to our sponsors:American Institute of Aeronautics and Astronautics, Helix Space in Luxembourg, Celestis Memorial Spaceflights, Astrox Corporation, Dr. Haym Benaroya of Rutgers University, The Space Settlement Progress Blog by John Jossy, The Atlantis Project, and Artless EntertainmentOur Toll Free Line for Live Broadcasts: 1-866-687-7223 (Not in service at this time)For real time program participation, email Dr. Space at: drspace@thespaceshow.com for instructions and access.The Space Show is a non-profit 501C3 through its parent, One Giant Leap Foundation, Inc. To donate via Pay Pal, use:To donate with Zelle, use the email address: david@onegiantleapfoundation.org.If you prefer donating with a check, please make the check payable to One Giant Leap Foundation and mail to:One Giant Leap Foundation, 11035 Lavender Hill Drive Ste. 160-306 Las Vegas, NV 89135Upcoming Programs:Upcoming ShowsBroadcast 5022 Zoom: Joel Sercel of TransAstra | Sunday 29 Mar 2026 1200PM PTGuests: Dr. Joel SercelJoel discusses the TransAstra and hot space industry news items.Space Show weekly schedule pending. See Upcoming Show Menu on the right side of our home page, www.thespaceshow.com. The weekly newsletter will be posted on Substack when completed. Get full access to The Space Show-One Giant Leap Foundation at doctorspace.substack.com/subscribe

Jebediah “Joby” Weeks, early Bitcoin pioneer, entrepreneur, and co creator of the iconic Bitcoin logo, joins host Constantin Kogan to share one of the wildest stories in crypto history.From becoming a millionaire at 19 and building disruptive businesses across health, currency, and politics…To experimenting with local money systems before Bitcoin went mainstream…To entering the early crypto frontier through Silk Road, Mt. Gox, Ethereum, mining, and BitClub…This is a conversation about freedom, disruption, and the cost of being early.Joby Weeks Reveals:

Across Protocol wants to retire its token in exchange for equity. Is the DAO model structurally broken? Thank you to our sponsor! Adaptive Security With Across Protocol proposing to retire its ACX token in favor of equity, a long-simmering question in crypto governance is finally breaking into the open: do token holders actually have meaningful ownership, or just the illusion of it?  As the regulatory environment under the new U.S. administration shifts dramatically from the Gensler era, the structures that crypto teams were forced to build may now be working against the very communities they were meant to serve.  Ryan Yi, founder of Onchain Group, and Felipe Montealegre, co-founder and CIO of Theia, have studied these incentive structures closely, and what they have found is uncomfortable. From PumpFun's suppressed valuation to the perverse incentives baked into token buyouts, this conversation examines whether the DAO model was ever built to last, and what governance actually needs to look like if crypto is going to compete with global finance. Guests: ⁠⁠⁠⁠Ryan Yi, Founder of Onchain Group ⁠⁠⁠⁠Felipe Montealegre, Co-Founder & Chief Investment Officer at Theia Links: Read our Aave deep dive here Learn more about your ad choices. Visit megaphone.fm/adchoices

Federico analiza la ratificación de la querella de la víctima del DAO por agresión sexual.

Episode 576—the last one! After 11 years of conversations, Stef and I are looking back at how our views on health have evolved and answering a final round of listener questions. We're talking Botox, histamine and hormones, staying low carb long term, weight gain when you start lifting, our favorite shoes, and what we've appreciated most about doing this podcast together. Thank you, friends. We love you!Timestamps:[8:04] Biggest ways your ideas on health had grown/changed throughout the podcast.[15:44] Botox opinions - please de-influence me [26:07] Should I take DAO enzyme daily or just when histamine flares up?[31:35] Insulin resistance - I've been cutting carbs, which has been great, but what are the long term effects?[38:03] Any shoe/sneaker recommendations?[48:26] if someone is gaining weight not muscles when they start a lifting program is this inflammation[1:00:59] What do you appreciate most about your podcast partner throughout the years?Episode Links:Noelle's SubstackStefani's SubstackSponsors:Go to https://thisisneeded.com/  and use coupon code WELLFED for 20% off your first order.Go to getkion.com/wellfed to get 20% off your order. Go to drinklmnt.com/wellfed and use code WELLFED to get a free 8-pack with any drink mix purchase!Go to http://mdlogichealth.com/smartbrain, and use coupon code WELLFED for 10% off.

This episode of Double Tap is brought to you by: C&G Holsters (Code: WLSISLIFE) Midwest Industries (Code: WLSISLIFE) Blue Alpha Bowers Group (Code: WLS) Otis Technology (Code: WELIKESHOOTING15) Guests: Jon Patton – https://guncon.net – NILES, OH BIG PUBLIC SHOW DAY JUNE 20th, 2026 Industry/VIP Events JUNE 17-20, 2026 Text Dear WLS or Reviews +1 743 500 2171  Public https://welikeshooting.com/titles/ Dear WLS Question from Anonymous Coward from California WINNER People are looking at the ICE shooting all wro6vng. This is not a First Amendment issue. He wasn't peacefully protesting. There is plenty of video showing him actively blocking ICE vehicles before the shooting. That matters. This is also not a Second Amendment issue. He wasn't walking down the street, minding his business, and accidentally flashing a concealed carry gun. He was in direct physical conflict with law enforcement while armed. According to reporting, he had allegedly been “on duty” the week before, tracking ICE, and had been taken to the ground by agents, injuring his ribs. This time, when he went back “on duty,” he brought a gun. I understand why people instinctively hesitate to side with federal law enforcement. I really do. But if we're being honest, this situation demands a clear-eyed assessment—not emotional reflexes or ideological posturing. If the political alignment were reversed—if this were someone at a protest you agreed with—would you still argue the outcome was justified? In this case, my answer is still yes, the individual was at fault, regardless of ideology. As gun owners, we talk constantly about personal responsibility. That responsibility includes knowing what situations you do not escalate, especially when armed. A fight you cannot win is a fight against law enforcement officers when you are carrying a firearm. The moment you insert yourself into a physical confrontation with LEOs while armed, you are the one escalating the situation. Everyone knows this. This is not new. You are not going to win a solo fight against law enforcement. Period. Question from Jaqin Ta'Sox from Connecticut From; Jaqin Ta'Sox: Dear WLS Man. Sorry. The 646 episode got me fired up. In regards to Nick at time stamp 108 minutes. ICE doesn't need warrants to arrest illegal immigrants, because all of the people they are looking for are here illegally and 100% have another type of Law Enforcement Interaction (dwi, domestic violence, etc.) The illegals that don't have other Law Enforcement Interaction are usually collateral arrests, because ICE goes looking for 1 and find 12 together. As far as the US Citizens that interact with ICE, yes they are 99% detained and released upon verification of status. The 1% that are arrested/hurt are the people who escalate the Interaction instead of cooperating, like Jeremy said. Question from Anonymous Coward from California Question for double tap I've noticed that Jeremy is a lot calmer now that Aaron has been gone is that a coincidence or does Aaron just drive him that crazy? Question from Sean's Weight Loss Coach from Pennsylvania Question for Double Tap: With the new Ruger/Marlin 1894 in 10mm and the Taylor's 1873 Winchester clone in 9mm it got me thinking – what changes are needed to handle the rimless cartridges vs the more traditional rimmed cartridges that lever guns of this style are more commonly chambered for? Extractor change on the bolt? Chamber cut to control headspace with the cartridge mouth instead of the rim? Why has it taken this long for traditional lever guns like these to be chambered in rimless cartridges? Most sincerely, Sean's Weight Loss Coach Question from Anonymous Coward from California For double tap This question is mainly for Jeremy since he he sounds like he has the most experience with the XD line from SA. I have an XD.40 what parts should I expect to replace first and how often should I be cleaning it because I've heard mixed opinions on cleaning firearms? Question from LieutenantRand from Michigan LieutenantRand Are power lines higher in Africa? Or are there cases of giraffes being electrocuted? Question from Typicalpnwguy from Washington Dear wls crew, At the end of DT 447 Jeremy said to “go fuck yourself” so I did. Apparently its wrong for me to do so at a customer's house while doing deliveries. Now Im fired, wife left me, my dog found another hooman, and all I have is my pvs14 & mk18 cqbr blaster. Since Jeremy got me fired & divorced can I move in with you and get a job at the range? I promise to shit on Aaron every chance I get. Love, Typicalpnwguy Gun Industry News Taurus 22 TUC The Taurus 22 TUC is a micro-sized .22LR semi-auto pistol featuring a tip-up barrel, polymer frame, DAO trigger, and 10-ounce unloaded weight with 2.5-inch barrel and 10-round capacity. It includes fixed sights with orange front dot, G10 grips, and straight blowback action without extractor or ejector for easy loading. Reliability testing showed minor ammo-specific issues resolvable by chamber maintenance. Bottom Line: Caliber: .22LR; Capacity: 9+1 (10 rounds); Barrel: 2.5 inches; Weight: 10 oz unloaded; Length: 5 inches; Width: 1 inch; Height: 4.35 inches; Polymer frame, G10 grips, stainless steel or black finish; Tip-up barrel, DAO trigger, fixed sights with orange dot, no extractor/ejector, no manual safety Mossberg 590 Bliksem Collaboration with Christian Craighead The Mossberg 590 Bliksem is a limited-edition 12-gauge pump shotgun in ‘other firearm' format, featuring a 14.375-inch heavy-walled barrel, 5+1 capacity, cylinder bore, front bead sight, ambidextrous tang safety, and the proven 590 operating system with twin action bars and steel-to-steel lockup. It includes a Rhodesian Brushstroke camo treatment, FDE AfterShock bird's head grip, FDE corncob forend with leather strap, and an Esstac shotshell card. This model results from a collaboration with former 22 SAS operator Christian Craighead and his Ministry of Defence brand, focusing on distinctive cosmetic branding. The Gist: Announced March 11th, 2026; distribution via dealer-network rollout. Impact: MSRP $728 Bottom Line: 14.375-inch heavy-walled barrel; 5+1 capacity; cylinder bore; front bead sight; ambidextrous tang safety; twin action bars and steel-to-steel lockup; Rhodesian Brushstroke camo; FDE AfterShock bird's head grip; FDE corncob forend with leather strap; Esstac shotshell card. Smith & Wesson Performance Center Equalizer Carry Comp Smith & Wesson has added a compensated version of the Performance Center Equalizer, named the Equalizer Carry Comp, to its Performance Center line. This 9mm carry gun features a top barrel PowerPort to reduce muzzle rise, optics-ready slide, and EZ-style serrations. It includes Ameriglo night sights, an accessory rail, and Performance Center trigger enhancements. Bottom Line: 9mm carry gun; Top barrel PowerPort compensator; Optics-ready slide; EZ-style slide serrations; Ameriglo Trooper front night sight with black U-notch rear; Accessory rail; 10-, 13-, 15-round magazines; Performance Center trigger work0 Elite Survival Systems IWB / Off-Body Concealed Carry Kit Elite Survival Systems has launched the IWB / Off-Body Concealed Carry Kit, a dual-use holster system designed for popular compact pistols including Glock 43X, SIG Sauer P365 XL, SIG Sauer P365 XMacro, Springfield Armory Hellcat, Hellcat Pro, and Smith & Wesson M&P Shield models. The kit features a low-profile holster with secure retention, optics compatibility, and mounting components for carry bags or packs. Announced on March 13, 2026, it emphasizes concealment, comfort, and durability for everyday carry. The Gist: Available now directly from Elite Survival Systems and authorized dealers. Bottom Line: Dual-use IWB and off-body configurations; compatible with Glock 43X, SIG Sauer P365 XL/XMacro, Springfield Hellcat/Hellcat Pro, S&W M&P Shield; low-profile for concealment; secure retention; optics-ready; durable construction with bag/pack mounting. Smith & Wesson Performance Center M&P9 M2.0 Metal TALO Edition Pistols Smith & Wesson has released new TALO-exclusive Performance Center pistols based on the M&P9 M2.0 Metal platform. These 9mm handguns feature threaded and compensated barrels with copper/gold-colored PVD finishes, aluminum frames, lightning cuts, Strike Industries compensators, and optics-ready slides. Designed for competition and professional use, they offer visual and performance upgrades over standard M&P models. The Gist: TALO-exclusive; no specific release date or retailers stated. Bottom Line: 9mm caliber; aluminum frame; threaded/compensated barrel with copper/gold PVD finish; lightning cuts; Strike Industries compensator; optics-ready; M2.0 platform.0 Tasmanian Tiger TT Modular Chest Rig 4xM4 and TT Modular Chest Rig Pack Tasmanian Tiger has expanded its modular load-carrying system with the release of the TT Modular Chest Rig 4xM4, a lightweight chest rig with four fixed rifle magazine pouches and size M SAPI plate compatibility, and the TT Modular Chest Rig Pack, a low-profile backpack offering expandable 12-20 liter storage with hydration compatibility. Both products integrate seamlessly for standalone or combined use and are compatible with existing TT Chest Rig MKII systems via adapters. Constructed from CORDURA 500 den with laser-cut MOLLE, they target military, law enforcement, and SWAT operators. The Gist: Announced March 13, 2026; available through Tasmanian Tiger USA product pages (TT Modular Chest Rig 4xM4: https://tasmaniantigerusa.com/product.php?id=268; TT Modular Chest Rig Pack: https://tasmaniantigerusa.com/product.php?id=269); US distribution by Proforce Equipment, Inc. Impact: TT Modular Chest Rig 4xM4: MSRP $219 (black, olive, coyote), $259 (Multicam); TT Modular Chest Rig Pack: MSRP $219 (black,

The Aave DAO collapsed — but might that be good for Aave? (But bad for the token?) Plus, how the feud between the U.S. government and Anthropic helped the AI company. Thank you to our sponsors! ⁠⁠⁠Fuse: The Energy Network ⁠⁠ – Shift your energy use and earn rewards. ⁠⁠⁠MultiChain Advisors -⁠⁠⁠ The Growth & Capital Markets Partner You Need The Aave civil war appears to be at an end with key members of the DAO rage quitting and leaving Aave Labs standing as the sole protocol contributor.  Uneasy Money hosts Kain Warwick, Luca Netz, and Taylor Monahan explain why the Aave DAO's messy collapse is a death knell for the DAO system. Ironically, they wonder — could this be good for Aave, but bad for the token? The crew also wades into ZachXBT's recent Axiom investigation and how the on-chain detective has become “a vigilante for hire.”  They also cover all the insider trading claims and fights around prediction markets involving the Iran War and Mr. Beast, and “Kalshi jail.” Kain suspects another reason for the U.S. government's rift with Anthropic. Luca, an Anthropic investor, says he wished Dario had taken the government's deal, but that Sam Altman needs to “take the Zuck playbook.” Meanwhile, is Anthropic nerfing OpenClaw? Hosts: ⁠⁠⁠Kain Warwick⁠⁠⁠, Founder of Infinex and Synthetix ⁠⁠⁠Taylor Monahan⁠⁠⁠, Security Expert ⁠⁠⁠Luca Netz, CEO of Pudgy Penguins Links: Unchained: ⁠⁠⁠⁠Aave Governance Fight Escalates Ahead of $51 Million Funding Vote Uneasy Money: Why the AI Singularity May Already Be Out of Our Hands How Aave Labs and the DAO Should Split Ownership of the Brand – Uneasy Money ZachXBT Alleges Axiom Employee Misused Internal Data Uneasy Money: Why Peter Steinberger and Non-Crypto People Hate the Crypto Mob Learn more about your ad choices. Visit megaphone.fm/adchoices

On the afternoon of August 23, 2003, Erie, Pennsylvania pizza delivery driver Brian Wells walked into the local branch of the PNC Bank and handed the teller a note warning that he had a bomb and they had fifteen minutes to hand over $250,000 or it would detonate. Unable to access the vault, the teller gave Wells all the cash on hand and he left as the employees triggered the emergency protocol.Fifteen minutes later, Wells was spotted by police and placed under arrest. However, when they went to put handcuffs on the suspects, the officers discovered that Wells did indeed have an explosive device on him—it was strapped to his neck and rigged to explode. Officers cleared the area, but failed to alert the bomb squad in time and the device eventually exploded, killing Wells just three minutes before the bomb squad arrived.The bizarre death of Brian Wells seemed to bring his brief criminal career to an end; yet as investigators began digging into the background of the delivery driver-turned-bank robber, they discovered the plot to rob the PNC Bank was far more elaborate than anyone had imagined. ReferencesAssociated Press. 2003. "Witness also helped in 1977 slaying." Scranton Times, September 25: 5.—. 2003. "Woman charged in roomate's death." The Sentinel (Carlisle, PA), September 23: 2.Dao, James. 2003. "A childlike pizza deliveryman at the center of a puzzling crime." New York Times, September 5: A12.Fuoco, Linda Wilson. 2003. "Robber, co-worker death query." Pittsburgh Post-Gazette, September 1.Fuoco, Michael. 2007. "Feds say collar bomb victim was part of plot." Pitsburgh Post-Gazette, July 12: 1.Lin, Judy. 2003. "Erie bank robber explodes in police custody." Citizens' Voice (Wilkes-Barre, PA), August 31: 5.—. 2003. "Bomb-case probers urge patience." Patriot-News (Harrisburg, PA), September 5: B5.—. 2003. "Man may have been forced to rob Erie bank." The Daily Item (Sunbury, PA), August 31: 3.Mandak, Joe. 2011. "Woman gets life plus 30 in collar-bomb death." Pittsburgh Post-Gazette, March 1: 1.Nephin, Dan. 2003. "Woman acquitted of boyfriend's death 15 years ago charges with killing another." The Morning Call (Allentown, PA), September 23: 14.Schapiro, Rich. 2011. "Collar bomb." Wired, Janaury.Times-Tribune. 2005. "Woman pleads guilty in killing." Times-Tribune (Scranton, PA), January 9: 2.United States of America v. Marjorie Diehl-Armstrong. 2009. 1:07-cr-26-SJM (United States District Court for the Western District of Pennsylvania, September 8).United States of America v. Marjorie Diehl-Armstrong. 2012. 11-1601 (United States Court of Appeals for the Third Circuit, September 25).Wire News Service. 2003. "Neighbors say bank robber led quiet life." Patriot-News (Harrisburg, PA), September 4: B3. Cowritten by Alaina Urquhart, Ash Kelley & Dave White (Since 10/2022)Produced & Edited by Mikie Sirois (Since 2023)Research by Dave White (Since 10/2022), Alaina Urquhart & Ash KelleyListener Correspondence & Collaboration by Debra LallyListener Tale Video Edited by Aidan McElman (Since 6/2025) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.