Podcasts about Amjad

In this episode of Hold Your Fire!, Richard is joined by Crisis Group's experts Mairav Zonszein, Amjad Iraqi, Max Rodenbeck and Rob Blecher to discuss Israel's new ground offensive in Gaza and its contentious efforts to take over control of aid distribution amid a deepening humanitarian crisis. Richard first speaks to Mairav, Amjad and Max about “Operation Gideon's Chariots”, Israel's military campaign that appears aimed at fragmenting Gaza territorially while linking military operations to the management of humanitarian aid. They examine how the war is affecting Israel's domestic politics and whether public sentiment is shifting. They also discuss how the war has affected Israel's international standing, with European leaders voicing growing criticism of Israel's conduct. Richard then turns to Rob to take a closer look at Israel's aid distribution plan and its reported aim to provide only minimal levels of food after months of blockade, despite most Palestinians in Gaza already facing severe hunger.For more, check out our recent statement “Saving Gaza from Starvation” our Analyst's Notebook entry “The Vanishing Line between Starvation and Famine in Gaza” and our Israel/Palestine page. Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Cognitive Revolution, Amjad Masad , founder and CEO of Replit, discusses the fast-paced growth of Replit, the concept of 'vibe coding', and the challenges and opportunities in the rapidly evolving AI-assisted coding space. He shares insights into Replit's competitive advantages, known as 'moats', and how they maintain their lead through innovation and excellence in execution. The conversation delves into the architectural complexities of building AI agents, their autonomy, and the practical implications for businesses. Amjad touches upon the potential and limitations of current AI models, the future of general intelligence, and the preparation needed for potential AI advancements. He also highlights the importance of intuitive user interfaces for AI-driven software development and the critical role of human-like interaction with AI agents. Upcoming Major AI Events Featuring Nathan Labenz as a Keynote Speaker: ⁠https://www.imagineai.live/⁠ ⁠https://adapta.org/adapta-summit⁠ ⁠https://itrevolution.com/product/enterprise-tech-leadership-summit-las-vegas/ SPONSORS: ElevenLabs: ElevenLabs gives your app a natural voice. Pick from 5,000+ voices in 31 languages, or clone your own, and launch lifelike agents for support, scheduling, learning, and games. Full server and client SDKs, dynamic tools, and monitoring keep you in control. Start free at https://elevenlabs.io/cognitive-revolution Oracle Cloud Infrastructure (OCI): Oracle Cloud Infrastructure offers next-generation cloud solutions that cut costs and boost performance. With OCI, you can run AI projects and applications faster and more securely for less. New U.S. customers can save 50% on compute, 70% on storage, and 80% on networking by switching to OCI before May 31, 2024. See if you qualify at https://oracle.com/cognitive The AGNTCY: The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at https://agntcy.org/?utm_campaign=fy25q4_agntcy_amer_paid-media_agntcy-cognitiverevolution_podcast&utm_channel=podcast&utm_source=podcast Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing

Amjad Jomaa is a Syrian pop and Arabic pop musician, born and raised in Beirut, Lebanon. He began learning the piano at an early age, which laid the foundation for his musical career. Jomaa is known for blending traditional Arabic music with contemporary pop elements, creating a distinctive sound characterized by catchy melodies, complex rhythms, and emotional lyrics that often reflect the experiences of young people in the Middle East.Some of his most popular songs include "Ana Lamma Bheb," "Ahla Sabiyeh," "Wateeni," and "Dawri Sar." His discography also features tracks like "Aam Ontofi," "Beit Al 3omer," and "Reef Al Ain." His latest release, "Ta'er Elfiniq," came out on January 23, 2025. Amjad Jomaa's music has garnered a dedicated following, with his ability to seamlessly fuse Eastern and Western musical elements earning him recognition as one of the most intriguing musicians to emerge from Lebanon in recent years.#hikmatwehbipodcast #podcast #arabicpodcast #AmjadJomaa #wstudiodxbحكمت_وهبي#حكمت_وهبي_بودكاست#

Amjad Masad set out more than a decade ago to pursue the dream of unleashing 1B software creators around the world. With millions of Replit users pre-ChatGPT, that vision was already becoming a reality. Turbocharged by LLMs, the vision of enabling anyone to code—from 12-year-olds in India to knowledge workers in the U.S.—seems less and less radical. In this episode, Amjad explains how an explosion in the developer population could change the economy, society and more. He also discusses his early days programming in Jordan, his unique management approach and what AI will mean for the global economy. Hosted by David Cahn and Sonya Huang, Sequoia Capital  Mentioned in this episode: On the Naturalness of Software: 2012 paper on applying NLP to code  Attention Is All You Need: Seminal 2017 paper on transformers I Am a Strange Loop: 2007 follow up to Douglas Hofstadter's 1979 classic Gödel, Escher, Bach that explores how self-referential systems can describe minds On Lisp: Paul Graham's 1993 book on the original programming language of AI

In this episode of Hold Your Fire!, Richard is joined by Crisis Group experts Max Rodenbeck, Mairav Zonszein, Amjad Iraqi and Michael Wahid Hanna to discuss the breakdown of the Gaza ceasefire, the likely effect on Palestinians in Gaza and the goals of both Israel's renewed military campaign and the U.S. strikes on the Houthis in Yemen. Richard first talks to Max, Mairav and Amjad about Israel's return to war, including its retreat from a three-phase ceasefire deal it struck with Hamas in January. They examine Israeli views of the war, including the growing public anger at the government's handling of the hostage crisis and the resumption of the war. They also explore Hamas's strength in Gaza, the humanitarian catastrophe in the enclave and the possible futures of governance in the strip. Richard then speaks to Michael, Crisis Group's U.S. Program Director, about the Trump administration's emerging Middle East policy, as the U.S. backs Israel's campaign in Gaza, strikes the Houthis in Yemen and steps up pressure on Iran, even as the president signals he wants to enter nuclear talks with Tehran. Hosted on Acast. See acast.com/privacy for more information.

Amjad Masad is the co-founder and CEO of Replit, a programming environment for everyone that allows anyone to write and deploy code, regardless of experience. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world.Before Replit, Amjad was a tech lead on the JavaScript infrastructure team (which he helped start) at Facebook, where he contributed to popular open-source developer tools. Additionally, he played a key role as a founding engineer at the online coding school Codecademy.0:00 - Intro4:31 - Utopia, Dystopia, and Life in a Post-AI World11:28 - Replit and Expressiveness in Computing17:01 - Balancing Accessibility and Control in Products19:53 - Is AI a Sustaining or Disruptive Technology?25:04 - Building With AI and the Future of Company Structure29:32 - The Shape and Defensibility of Software in a World of AI33:37 - The Nation State and Stagnation in the Physical World38:28 - Technology and Resilience41:54 - What Shouldn't Get Automated?43:54 - What Becomes Valuable in a Post-AI World?47:10 - AI Augmenting vs Competing with Humans51:51 - What Should More People Be Thinking About?

Amjad Al Rasheed, the award-winning Jordanian director and writer of Inshallah A Boy (2023), joins A2 THE SHOW to discuss the challenges of portraying taboo topics in Arab cinema, the intuition behind filmmaking, and the delicate balance between passion and financial stability. He shares insights on researching dating culture in Jordan, the importance of education in filmmaking, and his personal commitment to environmental conservation. With his film making waves at Cannes and beyond, Amjad offers a compelling look at the art and struggles of independent filmmaking.

In this episode of Hold Your Fire!, Richard Atwood is joined by Crisis Group experts Mairav Zonszein, Amjad Iraqi, Michael Hanna and Rob Blecher to talk about Donald Trump's shock proposal for Gaza and its implications for the fragile ceasefire between Israel and Hamas. Richard first speaks with Mairav, Amjad and Rob about Trump's plan, which would include relocating Palestinians out of Gaza and placing the territory under U.S. control and how it has been received among Palestinians, Israelis and worldwide. They assess progress made under the first phase of the ceasefire deal between Israel and Hamas, conditions in the strip and prospects of getting to a second phase which includes an Israeli troop withdrawal. They discuss the uptick of violence in the West Bank and the risk of Israel fully annexing the territory. Richard then talks with Michael about how Trump's remarks on Gaza should be interpreted, as top officials appear to walk some of them back even as Trump doubles down. Click here to listen on Apple Podcast or Spotify. For more, be sure to read our latest EU Watch List Commentary “Toward a Stronger European Stand on Israel-Palestine”, our statement “Understanding the Israel-Hamas Truce”, and our Israel/Palestine country page. Hosted on Acast. See acast.com/privacy for more information.

Replit is one of the most visible and exciting companies reshaping how we approach software and application development in the Generative AI era. In this episode, we sit down with its CEO, Amjad Masad, for an in-depth discussion on all things AI, agents, and software. Amjad shares the journey of building Replit, from its humble beginnings as a student side project to becoming a major player in Generative AI today. We also discuss the challenges of launching a startup, the multiple attempts to get into Y Combinator, the pivotal moment when Paul Graham recognized Replit's potential, and the early bet on integrating AI and machine learning into the core of Replit. Amjad dives into the evolving landscape of AI and machine learning, sharing how these technologies are reshaping software development. We explore the concept of coding agents and the impact of Replit's latest innovation, Replit Agent, on the software creation process. Additionally, Amjad reflects on his time at Codecademy and Facebook, where he worked on groundbreaking projects like React Native, and how those experiences shaped his entrepreneurial journey. We end with Amjad's view on techno-optimism and his belief in an energized Silicon Valley. Replit Website - https://replit.com X/Twitter - https://x.com/Replit Amjad Masad LinkedIn - https://www.linkedin.com/in/amjadmasad X/Twitter - https://x.com/amasad FIRSTMARK Website - https://firstmark.com X/Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ X/Twitter - https://twitter.com/mattturck (00:00) Intro (01:36) The origins of Replit (15:54) Amjad's decision to restart Replit (19:00) Joining Y Combinator (30:06) AI and ML at Replit (32:31) Explain Code (39:09) Replit Agent (52:10) Balancing usability for both developers and non-technical users (53:22) Sonnet 3.5 stack (58:43) The challenge of AI evaluation (01:00:02) ACI vs. HCI (01:05:02) Will AI replace software development? (01:10:15) If anyone can build an app with Replit, what's the next bottleneck? (01:14:31) The future of SaaS in an AI-driven world (01:18:37) Why Amjad embraces techno-optimism (01:20:36) Defining civilizationism (01:23:11) Amjad's perspective on government's role

It is one thing to interview guests from esteemed professions and backgrounds, it's another when you're interviewing your teacher. Dr. Amjad Quorshah is a renowned Islamic scholar with a master's in Quranic Exegesis (Interpretation) from Jordan University and a PhD in comparative religions from Birmingham University, amongst being a faculty of Shari'ah (Islamic Studies) at Jordan University. Since 2019, he's been the resident scholar, trainer, and lecturer amongst other positions at Dar Foundation in Oakville, Ontario. Hence Osama and Mohammed relationship with him, both co-hosts have had the opportunity and privilege to attend Dr. Amjad's lectures on topics covering the Seerah (Biography) of the Prophet Muhammad (Peace be Upon Him) and Tafsir (Quranic Interpretation) throughout the years. Dr. Amjad is globally recognized for his works, visiting over 30 countries and 300 cities, spreading the beauty of Islam while addressing the misconceptions, valuable lessons and the myriad scope of what this beloved religion not only offers to Muslims, but to Non-Muslims as well. In this conversation, we address topics including his upbringing, the pivotal moment at age fifteen that made him want to become an Islamic scholar, the virtues of hardships as well as advice for young Muslims struggling with their deen (faith). The episode is heartwarming, insightful, mesmerizing and more importantly: inspirational as Dr. Amjad delivers words of wisdom that help encapsulate the sweetness behind what Islam offers to humanity. I need a podcast title but with 3 words describing what we spoke about

Get our Business Monetization Playbook: https://clickhubspot.com/monetization Episode 658: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Replit founder Amjad Masad ( https://x.com/amasad ) about the massive opportunities with AI Agents.  — Show Notes:  (0:00) Replit origin story   (9:27) Replit's 10-year overnight success (12:27) Rejected 4x by YC (17:28) Personal essays from Paul Graham (20:17) "i hacked into my university to change my grades" (25:55) Rickrolling into YC (35:25) Shaan builds a food tracking app in 30 seconds (43:19) Magic School: An AI application for educators 4M users in 1 year (47:31) Amjad on Agents (49:53) Building moats in a goldrush (54:53) Replit is Shopify for software creators (1:05:11) The most gangster story in Silicon Valley — Links: • Amjad essays - https://amasad.me/  • Replit - https://replit.com/  • Codeacademy - https://www.codecademy.com/  • Do What Makes The Best Story - https://amasad.me/story  • Magic School AI - https://www.magicschool.ai/  • 11x AI - https://www.11x.ai/  • Synthesis Tutor - https://www.synthesis.com/tutor  • The Sovereign Individual - https://tinyurl.com/4w6ns7b2  • 7 Powers - https://tinyurl.com/382ch557  — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

We're proud to partner with Macmillan Cancer Support for a special series of interviews spotlighting their "Let's Talk About Cancer" campaign.   In this episode, Allia shared her story with #SunriseRadio as part of a campaign to raise awareness of support available for people with cancer and their families in the South Asian community.   To find out more about cancer support for South Asian communities, visit: http://www.macmillan.org.uk/Sunrise   The UK's number one commercial Asian station brings you a medley of stories, interviews, opinions and chat on matters we are passionate about - Bollywood, music, politics, books and more. 

Amjad Masad is the co-founder and CEO of Replit, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. Prior to Replit, Amjad worked at Facebook, where he led the JavaScript infrastructure team and contributed to popular open-source developer tools. Additionally, he played a key role as a founding engineer at the online coding school Codecademy. In our conversation, Amjad shares:• A live demo of Replit in action• How Replit's AI agent can build full-stack web applications from a simple text prompt• The implications of AI-powered development for product managers, designers, and engineers• How this might reshape companies and careers• Why being “generative” will become an increasingly valuable skill• “Amjad's law” and how learning to debug AI-generated code is becoming ever more valuable• Much more—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Persona—A global leader in digital identity verification• LinkedIn Ads—Reach professionals and drive results for your business—Find the transcript at: https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad—Where to find Amjad Masad:• X: https://x.com/amasad• LinkedIn: https://www.linkedin.com/in/amjadmasad/• Website: https://amasad.me/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Amjad Masad and Replit(02:41) The vision and challenges of Replit(06:50) Replit's growth and user stories(10:49) Demo of Replit's capabilities(16:51) Building and iterating with Replit(25:04) Real-world applications and use cases(30:13) The technology stack(33:48) The evolution of Replit and its capabilities(39:36) The future of AI in software development(44:04) Skills for the future: generative thinking and coding(47:26) Amjad's law(50:36) Replit's new developments and future plans—Referenced:• Replit: https://replit.com/• Cursor: https://www.cursor.com• Aman Mathur on LinkedIn: https://www.linkedin.com/in/aman-mathur/• Node: https://nodejs.org/en• Claude: https://claude.ai/• Salesforce: https://www.salesforce.com/• Wasm: https://webassembly.org/• Figma: https://www.figma.com/• Codecademy: https://www.codecademy.com/• Hacker News: https://news.ycombinator.com/news• Paul Graham's website: https://www.paulgraham.com/• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox• Anthropic: https://www.anthropic.com/• Open AI: https://openai.com/• Amjad's tweet about “society of models”: https://x.com/amasad/status/1568941103709290496• About HCI: https://www.designdisciplin.com/p/hci-profession• Taylor Swift's website: https://www.taylorswift.com/• Andrew Wilkinson on LinkedIn: https://www.linkedin.com/in/awilkinson/• Haya Odeh on LinkedIn: https://www.linkedin.com/in/haya-odeh-b0725928/• Amjad's law: https://x.com/snowmaker/status/1847377464705896544• Ray Kurzweil's website: https://www.thekurzweillibrary.com/• God of the gaps: https://en.wikipedia.org/wiki/God_of_the_gaps—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

In the first of three episodes on the crisis in the Middle East, Adam Shatz is joined by Mairav Zonszein and Amjad Iraqi to discuss the experiences of Israeli Jews and Palestinian citizens of Israel. While the Netanyahu government is opposed by many Israeli Jews, and increasing numbers have left the country, support for Israel's wars in Gaza and Lebanon remains high because few can imagine an alternative. For Palestinian citizens of Israel, who have long suffered restrictions on their democratic rights, the escalating crisis has intensified that discrimination, while stirring a deep sense of fear regarding their future. Mairav and Amjad talk to Adam about the tensions in Israeli society, not least between the government and military, and why Netanyahu has shown so little interest in the lives of the hostages still held by Hamas.Mairav Zonszein is a journalist and Senior Israel Analyst with Crisis Group.Amjad Iraqi is an editor at +972 Magazine and an associate fellow with Chatham House's MENA programme.Read Adam Shatz on the death of Nasrallah:https://www.lrb.co.uk/the-paper/v46/n20/adam-shatz/after-nasrallah Hosted on Acast. See acast.com/privacy for more information.

The Greater Understanding by Abu Iyaad Amjad Rafiq by Albaseerah

Traditionally, security checks and testing are performed towards the end of the software development lifecycle. However, discovering vulnerabilities at that stage can be costly and time-consuming. This observation has led to the shift-left movement, which advocates for implementing security testing earlier in the software development process. HoundDog AI is a startup focused on software to The post Shift-Left Security and Code Scanning with Amjad Afanah and Sudipta Mukherjee appeared first on Software Engineering Daily.

Traditionally, security checks and testing are performed towards the end of the software development lifecycle. However, discovering vulnerabilities at that stage can be costly and time-consuming. This observation has led to the shift-left movement, which advocates for implementing security testing earlier in the software development process. HoundDog AI is a startup focused on software to The post Shift-Left Security and Code Scanning with Amjad Afanah and Sudipta Mukherjee appeared first on Software Engineering Daily.

hift-left strategies for sensitive data protection and privacy compliance. We'll also spotlight an AI-driven security solution called Hound Dog AI. The company's founder, Amjad Afanah, will join us. He brings a wealth of knowledge from his extensive background in cybersecurity. In this episode, we'll explore how Hound Dog AI takes a proactive stance in preventing PII leaks and ensuring compliance with regulations like GDPR. Amjad will share insights on the different types of PII leaks, the importance of protecting sensitive data even in development phases, and how their solution seamlessly integrates with major CI pipelines. We'll also discuss how this tool can significantly save your time and costs associated with remediating data leaks. Its high accuracy in detecting vulnerabilities, supported by advanced AI techniques, is a testament to its efficiency. Amjad underlines the importance of educating DevSecOps and preventive controls in data security. Whether you're a security leader, a developer, or handling privacy concerns at your company, this episode is packed with valuable information. Learn how to try out Hound Dog's free scanner to safeguard your code. Try out SmartBear's Bugsnag for free, today. No credit card required. https://links.testguild.com/bugsnag

Host Jamie McGoldrick speaks with Amjad Shawa, head of the Palestinian NGO network in Gaza. Amjad shares stories about life in Gaza and gives a stark assessment of what civilians are dealing with in the region. Jamie asks Amjad about the challenges in getting basic necessities, including food and water. He also asks Amjad about the mental health impact, especially on kids and teens. Amjad discusses his hope for the future and his desire to rebuild when the conflict ends.

Welcome to JAT Chat, presented by the Journal of Athletic Training, the official journal of the National Athletic Trainers Association. In this episode, Dr. Shelby Baez is joined by Dr. Mishaal Amjad, an athletic trainer for the NLL Colorado Mammoth and PLL Philadelphia Water Dogs. Dr. Amjad discusses her research on the experiences of Muslim collegiate student-athletes fasting during Ramadan while participating in sports. She provides valuable insights into the significance of fasting, intrinsic and extrinsic challenges, and the types of support that these athletes need. Full Article: https://tinyurl.com/42aafkmz

Amjad saahab ki ye ek badi hi iconic ghazal hai . Woh saare log , jo kisi rishte se baahar toh aa gaye hain .. par mentally ab talak usi rishte ko jiye jaa rahe hain . Bus ki saans liye jaa rahe hain .. aur Gulzar ka ye sher padh rahe hain : Din kuchh aise guzaarta hai koi Jaise ehsaan utaarta hai koi Un saare logon ko amjad saahab ki ye ghazal intesaab karta hun . Iske har ek ashaar mein ummeed hai .Bohot zyaada ummeed . Background mein hum sabki favorite Debasmita faiz ko gunguna rahi hai . Suniye aur achchhi shaayari padhte rahiye Ishq Soz --- Send in a voice message: https://podcasters.spotify.com/pod/show/lafz--soz/message

Amjad Al Rasheed's directorial debut was also the first Jordanian film to be screened at the Cannes film festival last year. "Inshallah a Boy" focuses on a courageous mother and widow who's constrained by the patriarchal society she lives in. Amjad joins us in the studio to talk about making a film that addresses sensitive topics like inheritance and abortion, and how securing regional funding for his feature was a win for the nascent Jordanian film industry.

Curt Jaimungal was asked to give a presentation at a new "thinkubator" called ekkólapto® for their event, titled "Polymath" (Feb 2024). It was an exclusive event that wasn't recorded but someone captured it with their cell phone and with permission is being released here. Thank you to : - @Tyfoods4Thought (Ty Roachford) for recording this. - Amjad, Bijou, Brad, Curtis, Dan, David, Kristine, Matthew, and Zach for your comments on the first draft of the talk - Importantly, thank you to Adam Cha for putting on such a fantastic inaugural event, and distinctive incubator (technically a "thinkcubator"). More information is here: https://ekkolapto.org and Insta https://www.instagram.com/ekkolaptoTIMESTAMPS: - 00:00:00 Introduction - 00:00:23 Curt's Speech at Polymath THANK YOU: To Mike Duffey for your insight, help, and recommendations on this channel.Support TOE: - Patreon: https://patreon.com/curtjaimungal (early access to ad-free audio episodes!) - Crypto: https://tinyurl.com/cryptoTOE- PayPal: https://tinyurl.com/paypalTOE- TOE Merch: https://tinyurl.com/TOEmerchFollow TOE: - *NEW* Get my 'Top 10 TOEs' PDF + Weekly Personal Updates: https://www.curtjaimungal.org- Instagram: https://www.instagram.com/theoriesofe...- TikTok: https://www.tiktok.com/@theoriesofeve...- Twitter: https://twitter.com/TOEwithCurt- Discord Invite: https://discord.com/invite/kBcnfNVwqs- iTunes: https://podcasts.apple.com/ca/podcast...- Pandora: https://pdora.co/33b9lfP- Spotify: https://open.spotify.com/show/4gL14b9...- Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeveryt... Join this channel to get access to perks: https://www.youtube.com/channel/UCdWI...

Amjad Masad is the co-founder and CEO of Replit, an online platform designed for collaborative coding in multiple programming languages. Replit boasts over 30m users, has secured $200M in venture funding, and was recently valued at $1.2B. Before Replit, Amjad was a Software Engineer at Facebook, and a Founding Engineer at Codecademy. — In today's episode, we discuss: How AI is reshaping the software landscape Bridging the gap between ideas and software Why YC almost rejected Replit four times Replit's fundraising difficulties, and how Paul Graham helped The secret lever Replit pulled to scale ahead of its competition Replit's impressive distribution engine — Referenced: 7 Powers: https://www.amazon.com/7-Powers-Foundations-Business-Strategy/dp/0998116319/ Codecademy: https://www.codecademy.com/ Hacker News: https://news.ycombinator.com/ I Am a Strange Loop: https://www.amazon.com/Am-Strange-Loop-Douglas-Hofstadter/dp/0465030793 Mythical Man-Month: https://www.amazon.com/Mythical-Man-Month-Software-Engineering-Anniversary/dp/0201835959 On the Naturalness of Software: https://people.inf.ethz.ch/suz/publications/natural.pdf OpenAI: https://openai.com/ Paul Graham: https://twitter.com/paulg Python: https://www.python.org/ Read Write Own: https://www.amazon.com/Read-Write-Own-Building-Internet/dp/0593731387/ Replit: https://replit.com/ Roy Bahat: https://www.linkedin.com/in/roybahat/ Sam Altman: https://twitter.com/sama The Innovator's Dilemma: https://www.amazon.com/Innovators-Dilemma-Technologies-Management-Innovation/dp/1633691780/ The Little Schemer: https://www.amazon.com/Little-Schemer-Daniel-P-Friedman/dp/0262560992/ Y Combinator: https://www.ycombinator.com/ — Where to find Amjad Masad: LinkedIn: https://www.linkedin.com/in/amjadmasad Twitter/X: https://twitter.com/amasad — Where to find Todd Jackson: LinkedIn: https://www.linkedin.com/in/toddj0/ Twitter/X: https://twitter.com/tjack — Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast — Timestamps: (00:00) Introduction (02:31) Replit's origin story (08:24) Starting Facebook's JavaScript infrastructure team (10:36) Amjad's unique path to entrepreneurship (16:04) How Replit got its early users (17:00) Replit's fundraising difficulties (17:54) Why YC almost rejected Replit four times (20:23) Building Replit's distribution engine (22:08) Drivers of Replit's growth (27:41) What Silicon Valley gets wrong (30:09) Replit's monetization strategy (32:29) Integrating AI into the platform (36:18) The impact of AI on software engineering (39:40) Defining the new “software creator” role (41:43) How to keep up with developments in AI (46:24) Replit's goals for 2024 (48:11) Advice for founders: defy conventional wisdom (51:12) Amjad's 4 favorite books

Replit raised nearly $100M at $1.2B valuation last April and powers over 20M developers. On this week's episode of Unsupervised Learning, we sat down with Replit Founder and CEO Amjad Masad to talk about the future of software development, how Replit is empowering young users, how Replit developed its own models, and the data advantage Replit has. Amjad also shared his takes on why he's bullish on agents, where the value in AI will most likely accrue and why open-source models might not be truly open today. (0:00) intro(0:45) advice for new coders(6:20) how Replit uses AI(10:36) AI's coding capabilities(15:49) what makes the best data(20:52) educating new Replit AI users(23:46) structuring AI teams(27:02) building an in-house model(36:54) “the world is gonna get way weirder”(38:10) Kim and Taylor teaching calculus(44:19) usage based pricing is going to get more prevalent(51:05) will Microsoft win it all?(55:00) Llama and vibe-checking AI models(57:35) chatbots are overhyped(58:18) latency matters(59:50) why Sam Altman is the GOAT(1:01:16) over 10 years we'll see companies really shrink in size(1:03:51) Jacob and Pat debrief(1:05:27) training coding models on random data (1:06:36) Amjad's take on agents With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

INSHALLAH A BOY is Jordan's official entry for Best International Feature Film at the 2024 Academy Awards®. It begins with the sudden death of the husband of Nawal, a young Arab woman. The tragedy leaves her and her daughter without rights or property under Islamic law—and at the mercy of male relatives. Both her own brother and brother-in-law at first show sympathy. But soon it's clear that any whiff of assertion—I paid for half this house; I will keep my job; I will raise my daughter as I see fit—is met with the forces of patriarchy. Amjad Al Rasheed's gripping, taut debut INSHALLAH A BOY immerses us in the tangled impossibilities for a woman who simply wants to keep her home and protect her daughter, without a husband or male heir to legitimize her. Her acts of resistance (including necessary deception) enmesh multiple players in a complex web of risk and hope – reminiscent of Asghar Farhadi's masterpiece A SEPARATION – as we root and fear for her at every turn. Director/Co-writer Amjad Al Rasheed stops by to talk about the inspiration for his multi-faceted, finding his lead actor Mouna Hawa to play Nawal and the superb supporting cast as well as the pride tken from the wide recognition the film has received from the Cannes Film Festival and other prestigious film festivals from around the world. US Premiere Friday, January 12 at Film Forum in NYC To watch go to: greenwichentertainment.com/inshallah-a-boy

FDD Senior Vice President Jon Schanzer delivers timely situational updates and analysis, followed by a conversation with Amjad Taha, political analyst, author, and prominent influencer across social media, particularly in the Arab world.Learn more at: www.fdd.org/fddmorningbrief/

Today,  in another episode of the MENA series hosted by Dorra Mahbouli, we have the privilege of hosting Faraz Amjad, an industry leader in FinTech with an impressive trajectory in payments, technology consulting, and venture building. Over 25 years of experience, he has architected 12+ ventures, served in 7+ corporate leadership roles, and delivered 6+ successful M&A deals.Today's discussion promises to be enlightening as we dive deep into the FinTech scene of the MENA region, with a spotlight on the rapidly evolving Saudi Arabian market.The podcast delved into the FinTech landscape in Saudi Arabia and the MENA region, particularly within Saudi Arabia's Vision 2030. The discussion encompassed the current state and potential of the market, addressing regulatory challenges faced by startups and offering navigation strategies. We drew comparisons between the FinTech ecosystems of the UK and the MENA region, extracting valuable lessons from both. The conversation also focused on the challenges of entering the MENA market, highlighting key players in the Saudi FinTech scene and their unique attributes. Corporate innovation was a notable topic in response to FinTech advancements, including collaborations and initiatives. The podcast explored opportunities and challenges in the Kingdom's rapidly digitalizing landscape, investors' perspectives on the Saudi FinTech market, and the trends attracting investment. Looking forward, we discussed predictions for the market's future trajectory over the next 5-10 years, influencing corporate innovation. Finally, considering its unique market dynamics, we explored strategies for supporting FinTech startups in Saudi Arabia. We concluded by thanking your guest, Faraz, for his deep insights into these sectors and acknowledging his contributions to the field.

Amjad Iraqi is a senior editor at +972 Magazine, and a policy member of the think tank Al-Shabaka. He's a Palestinian citizen of Israel, currently based in London. [Rebroadcast of an interview originally recorded on November 16, 2023] The post [Rebroadcast] Amjad Iraqi on Palestinian Politics appeared first on KPFA.

0:08 — Amjad Iraqi is a senior editor at +972 Magazine. He is also a policy member of the think tank Al-Shabaka, and was previously an advocacy coordinator at Adalah: The Legal Center for Arab Minority Rights in Israel. He is a Palestinian citizen of Israel, currently based in London The post Amjad Iraqi on the Reality of Palestinian Citizens of Israel, Backlash towards Dissent and the Future of the Palestinian People appeared first on KPFA.

Palestinian writer Amjad Iraqi joins the show to talk about where Israel's assault on Gaza is going. We talked about Israel's professed goal to wipe out Hamas in the Gaza strip and what Israel intends to do with the territory and its population after the end of Operation Iron Swords. We also discussed how seriously to take the statements of Western governments who profess to support a viable Palestinian state alongside Israel, and we spoke about how liberal Zionism is a phenomenon that exists more in the minds of western policy makers, and liberal journalists, than it does in Israel itself.

Before there can be any kind of stable coexistence of people in Israel and Palestine, there will have to be a stable coexistence of narratives. And that's what we'll be attempting this week on the show: to look at both the present and the past through Israeli and Palestinian perspectives. The point is not to choose between them. The point is to really listen to them. Even — especially — when what's being said is hard for us to hear.Our first episode is with Amjad Iraqi, a senior editor at +972 magazine and a policy analyst at the Al-Shabaka think tank. We discuss the history of Gaza and its role within broader Palestinian politics, the way Hamas and the Israeli government under Prime Minister Benjamin Netanyahu reached a “violent equilibrium,” why Palestinians feel “duped” by the international community, what Hamas thought it could achieve with its attack, whether Israeli security and Palestinian liberty can coexist, Iraqi's skepticism over peace resolutions that rely on statehood and nationalism, how his own identity as a Palestinian citizen of Israel offers a glimpse at where coexistence can begin and much more.Mentioned:The Only Language They Understand by Nathan ThrallBook RecommendationsEast West Street by Philippe SandsOrientalism by Edward SaidThe Fire Next Time by James BaldwinThoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.This episode of “The Ezra Klein Show” was produced by Rollin Hu. Fact-checking by Michelle Harris, with Kate Sinclair and Mary Marge Locker. Our senior engineer is Jeff Geld. Our senior editor is Claire Gordon. The show's production team also includes Emefa Agawu and Kristin Lin. Original music by Isaac Jones and Carole Sabouraud. Audience strategy by Kristina Samulewski and Shannon Busta. The executive producer of New York Times Opinion Audio is Annie-Rose Strasser. Special thanks to Sonia Herrero.

Amjad Iraqi talks about what it's like to be a Palestinian citizen of Israel—and what the Israeli state has in mind for Gaza. Georgi Derluguian, author of a recent guest essay in the Times, analyzes how the expulsion of Armenians from Nagorno-Karabakh exemplifies a new world disorder.Behind the News, hosted by Doug Henwood, covers the worlds of economics and politics and their complex interactions, from the local to the global. Find the archive online. Hosted on Acast. See acast.com/privacy for more information.

At the AI Pioneers Summit we announced Latent Space Launchpad, an AI-focused accelerator in partnership with Decibel. If you're an AI founder of enterprise early adopter, fill out this form and we'll be in touch with more details. We also have a lot of events coming up as we wrap up the year, so make sure to check out our community events page and come say hi!We previously interviewed the founders of many developer productivity startups embedded in the IDE, like Codium AI, Cursor, and Codeium. We also covered Replit's (former) SOTA model, replit-code-v1-3b and most recently had Amjad and Michele announce replit-code-v1_5-3b at the AI Engineer Summit.Much has been speculated about the StackOverflow traffic drop since ChatGPT release, but the experience is still not perfect. There's now a new player in the “search for developers” arena: Phind.Phind's goal is to help you find answers to your technical questions, and then help you implement them. For example “What should I use to create a frontend for a Python script?” returns a list of frameworks as well as links to the sources. You can then ask follow up questions on specific implementation details, having it write some code for you, etc. They have both a web version and a VS Code integrationThey recently were top of Hacker News with the announcement of their latest model, which is now the #1 rated model on the BigCode Leaderboard, beating their previous version:TLDR Cheat Sheet:* Based on CodeLlama-34B, which is trained on 500B tokens* Further fine-tuned on 70B+ high quality code and reasoning tokens* Expanded context window to 16k tokens* 5x faster than GPT-4 (100 tok/s vs 20 tok/s on single stream)* 74.7% HumanEval vs 45% for the base modelWe've talked before about HumanEval being limited in a lot of cases and how it needs to be complemented with “vibe based” evals. Phind thinks of evals alongside two axis: * Context quality: when asking the model to generate code, was the context high quality? Did we put outdated examples in it? Did we retrieve the wrong files?* Result quality: was the code generated correct? Did it follow the instructions I gave it or did it misunderstand some of it?If you have bad results with bad context, you might get to a good result by working on better RAG. If you have good context and bad result you might either need to work on your prompting or you have hit the limits of the model, which leads you to fine tuning (like they did). Michael was really early to this space and started working on CommonCrawl filtering and indexing back in 2020, which led to a lot of the insights that now power Phind. We talked about that evolution, his experience at YC, how he got Paul Graham to invest in Phind and invite him to dinner at his house, and how Ron Conway connected him with Jensen Huang to get access to more GPUs!Show Notes* Phind* BigScience T0* InstructGPT Paper* Inception-V3* LMQL* Marginalia Nu* Mistral AI* People:* Paul Graham (pg)* Ron Conway* Yacine Jernite from HuggingFace* Jeff DelaneyTimestamps* [00:00:00] Intros & Michael's early interest in computer vision* [00:03:14] Pivoting to NLP and natural language question answering models* [00:07:20] Building a search engine index of Common Crawl and web pages* [00:11:26] Releasing the first version of Hello based on the search index and BigScience T0 model* [00:14:02] Deciding to focus the search engine specifically for programmers* [00:17:39] Overview of Phind's current product and focus on code reasoning* [00:21:51] The future vision for Phind to go from idea to complete code* [00:24:03] Transitioning to using the GPT-4 model and the impact it had* [00:29:43] Developing the Phind model based on CodeLlama and additional training* [00:32:28] Plans to continue improving the Phind model with open source technologies* [00:43:59] The story of meeting Paul Graham and Ron Conway and how that impacted the company* [00:53:02] How Ron Conway helped them get GPUs from Nvidia* [00:57:12] Tips on how Michael learns complex AI topics* [01:01:12] Lightning RoundTranscriptAlessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO of Residence and Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI. [00:00:19]Swyx: Hey, and today we have in the studio Michael Royzen from Phind. Welcome. [00:00:23]Michael: Thank you so much. [00:00:24]Alessio: It's great to be here. [00:00:25]Swyx: Yeah, we are recording this in a surprisingly hot October in San Francisco. And sometimes the studio works, but the blue angels are flying by right now, so sorry about the noise. So welcome. I've seen Phind blow up this year, mostly, I think since your launch in Feb and V2 and then your Hacker News posts. We tend to like to introduce our guests, but then obviously you can fill in the blanks with the origin story. You actually were a high school entrepreneur. You started SmartLens, which is a computer vision startup in 2017. [00:00:59]Michael: That's right. I remember when like TensorFlow came out and people started talking about, obviously at the time after AlexNet, the deep learning revolution was already in flow. Good computer vision models were a thing. And what really made me interested in deep learning was I got invited to go to Apple's WWDC conference as a student scholar because I was really into making iOS apps at the time. So I go there and I go to this talk where they added an API that let people run computer vision models on the device using far more efficient GPU primitives. After seeing that, I was like, oh, this is cool. This is going to have a big explosion of different computer vision models running locally on the iPhone. And so I had this crazy idea where it was like, what if I could just make this model that could recognize just about anything and have it run on the device? And that was the genesis for what eventually became SmartLens. I took this data set called ImageNet 22K. So most people, when they think of ImageNet, think of ImageNet 1K. But the full ImageNet actually has, I think, 22,000 different categories. So I took that, filtered it, pre-processed it, and then did a massive fine tune on Inception V3, which was, I think, the state of the art deep convolutional computer vision model at the time. And to my surprise, it actually worked insanely well. I had no idea what would happen if I give a single model. I think it ended up being 17,000 categories approximately that I collapsed them into. It worked so well that it actually worked better than Google Lens, which released its V1 around the same time. And on top of this, the model ran on the device. So it didn't need an internet connection. A big part of the issue with Google Lens at the time was that connections were slower. 4G was around, but it wasn't nearly as fast. So there was a noticeable lag having to upload an image to a server and get it back. But just processing it locally, even on the iPhones of the day in 2017, much faster. It was a cool little project. It got some traction. TechCrunch wrote about it. There was kind of like one big spike in usage, and then over time it tapered off. But people still pay for it, which is wild. [00:03:14]Swyx: That's awesome. Oh, it's like a monthly or annual subscription? [00:03:16]Michael: Yeah, it's like a monthly subscription. [00:03:18]Swyx: Even though you don't actually have any servers? [00:03:19]Michael: Even though we don't have any servers. That's right. I was in high school. I had a little bit of money. I was like, yeah. [00:03:25]Swyx: That's awesome. I always wonder what the modern equivalents kind of "Be my eyes". And it would be actually disclosed in the GPT-4 Vision system card recently that the usage was surprisingly not that frequent. The extent to which all three of us have our sense of sight. I would think that if I lost my sense of sight, I would use Be My Eyes all the time. The average usage of Be My Eyes per day is 1.5 times. [00:03:49]Michael: Exactly. I was thinking about this as well, where I was also looking into image captioning, where you give a model an image and then it tells you what's in the image. But it turns out that what people want is the exact opposite. People want to give a description of an image and then have the AI generate the image. [00:04:04]Alessio: Oh, the other way. [00:04:06]Michael: Exactly. And so at the time, I think there were some GANs, NVIDIA was working on this back in 2019, 2020. They had some impressive, I think, face GANs where they had this model that would produce these really high quality portraits, but it wasn't able to take a natural language description the way Midjourney or DALL-E 3 can and just generate you an image with exactly what you described in it. [00:04:32]Swyx: And how did that get into NLP? [00:04:35]Michael: Yeah, I released the SmartLens app and that was around the time I was a senior in high school. I was applying to college. College rolls around. I'm still sort of working on updating the app in college. But I start thinking like, hey, what if I make an enterprise version of this as well? At the time, there was Clarify that provided some computer vision APIs, but I thought this massive classification model works so well and it's so small and so fast, might as well build an enterprise product. And I didn't even talk to users or do any of those things that you're supposed to do. I was just mainly interested in building a type of backend I've never built before. So I was mainly just doing it for myself just to learn. I built this enterprise classification product and as part of it, I'm also building an invoice processing product where using some of the aspects that I built previously, although obviously it's very different from classification, I wanted to be able to just extract a bunch of structured data from an unstructured invoice through our API. And that's what led me to Hugnyface for the first time because that involves some natural language components. And so I go to Hugnyface and with various encoder models that were around at the time, I used the standard BERT and also Longformer, which came out around the same time. And Longformer was interesting because it had a much bigger context window than those models at the time, like BERT, all of the first gen encoder only models, they only had a context window of 512 tokens and it's fixed. There's none of this alibi or ROPE that we have now where we can basically massage it to be longer. They're fixed, 512 absolute encodings. Longformer at the time was the only way that you can fit, say, like a sequence length or ask a question about like 4,000 tokens worth of text. Implemented Longformer, it worked super well, but like nobody really kind of used the enterprise product and that's kind of what I expected because at the end of the day, it was COVID. I was building this kind of mostly for me, mostly just kind of to learn. And so nobody really used it and my heart wasn't in it and I kind of just shelved it. But a little later, I went back to HugMeFace and I saw this demo that they had, and this is in the summer of 2020. They had this demo made by this researcher, Yacine Jernite, and he called it long form question answering. And basically, it was this self-contained notebook demo where you can ask a question the way that we do now with ChatGPT. It would do a lookup into some database and it would give you an answer. And it absolutely blew my mind. The demo itself, it used, I think, BART as the model and in the notebook, it had support for both an Elasticsearch index of Wikipedia, as well as a dense index powered by Facebook's FAISS. I think that's how you pronounce it. It was very iffy, but when it worked, I think the question in the demo was, why are all boats white? When it worked, it blew my mind that instead of doing this few shot thing, like people were doing with GPT-3 at the time, which is all the rage, you could just ask a model a question, provide no extra context, and it would know what to do and just give you the answer. It blew my mind to such an extent that I couldn't stop thinking about that. When I started thinking about ways to make it better, I tried training, doing the fine tune with a larger BART model. And this BART model, yeah, it was fine tuned on this Reddit data set called Eli5. So basically... [00:08:02]Alessio: Subreddit. [00:08:03]Swyx: Yeah, subreddit. [00:08:04]Alessio: Yeah. [00:08:05]Michael: And put it into like a well-formatted, relatively clean data set of like human questions and human answers. And that was a really great bootstrap for that model to be able to answer these types of questions. And so Eli5 actually turned out to be a good data set for training these types of question answering models, because the question is written by a human, the answer is written by a human, and at least helps the model get the format right, even if the model is still very small and it can't really think super well, at least it gets the format right. And so it ends up acting as kind of a glorified summarization model, where if it's fed in high quality context from the retrieval system, it's able to have a reasonably high quality output. And so once I made the model as big as I can, just fine tuning on BART large, I started looking for ways to improve the index. So in the demo, in the notebook, there were instructions for how to make an Elasticsearch index just for Wikipedia. And I was like, why not do all of Common Crawl? So I downloaded Common Crawl, and thankfully, I had like 10 or $15,000 worth of AWS credits left over from the SmartLens project. And that's what really allowed me to do this, because there's no other funding. I was still in college, not a lot of money, and so I was able to spin up a bunch of instances and just process all of Common Crawl, which is massive. So it's roughly like, it's terabytes of text. I went to Alexa to get the top 1,000 websites or 10,000 websites in the world, then filtered only by those websites, and then indexed those websites, because the web pages were already included in Dump. [00:09:38]Swyx: You mean to supplement Common Crawl or to filter Common Crawl? [00:09:41]Michael: Filter Common Crawl. [00:09:42]Alessio: Oh, okay. [00:09:43]Michael: Yeah, sorry. So we filtered Common Crawl just by the top, I think, 10,000, just to limit this, because obviously there's this massive long tail of small sites that are really cool, actually. There's other projects like, shout out to Marginalia Nu, which is a search engine specialized on the long tail. I think they actually exclude the top 10,000. [00:10:03]Swyx: That's what they do. [00:10:04]Alessio: Yeah. [00:10:05]Swyx: I've seen them around, I just don't really know what their pitch is. Okay, that makes sense. [00:10:08]Michael: So they exclude all the top stuff. So the long tail is cool, but for this, that was kind of out of the question, and that was most of the data anyway. So we've removed that. And then I indexed the remaining approximately 350 million webpages through Elasticsearch. So I built this index running on AWS with these webpages, and it actually worked quite well. You can ask it general common knowledge, history, politics, current events, questions, and it would be able to do a fast lookup in the index, feed it into the model, and it would give a surprisingly good result. And so when I saw that, I thought that this is definitely doable. And it kind of shocked me that no one else was doing this. And so this was now the fall of 2020. And yeah, I was kind of shocked no one was doing this, but it costs a lot of money to keep it up. I was still in college. There are things going on. I got bogged down by classes. And so I ended up shelving this for almost a full year, actually. When I returned to it in fall of 2021, when BigScience released T0, when BigScience released the T0 models, that was a massive jump in the reasoning ability of the model. And it was better at reasoning, it was better at summarization, it was still a glorified summarizer basically. [00:11:26]Swyx: Was this a precursor to Bloom? Because Bloom's the one that I know. [00:11:29]Alessio: Yeah. [00:11:30]Michael: Actually coming out in 2022. But Bloom had other problems where for whatever reason, the Bloom models just were never really that good, which is so sad because I really wanted to use them. But I think they didn't turn on that much data. I think they used like the original, they were trying to replicate GPT-3. So they just use those numbers, which we now know are like far below Chinchilla Optimal and even Chinchilla Optimal, which we can like talk about later, like what we're currently doing with MIMO goes, yeah, it goes way beyond that. But they weren't trying enough data. I'm not sure how that data was clean, but it probably wasn't super clean. And then they didn't really do any fine tuning until much later. So T0 worked well because they took the T5 models, which were closer to Chinchilla Optimal because I think they were trained on also like 300 something billion tokens, similar to GPT-3, but the models were much smaller. I think T0 is the first model that did large scale instruction tuning from diverse data sources in the fall of 2021. This is before Instruct GPT. This is before Flan T5, which came out in 2022. This is the very, very first, at least well-known example of that. And so it came out and then I did, on top of T0, I also did the Reddit Eli5 fine tune. And that was the first model and system that actually worked well enough to where I didn't get discouraged like I did previously, because the failure cases of the BART based system was so egregious. Sometimes it would just miss a question so horribly that it was just extremely discouraging. But for the first time, it was working reasonably well. Also using a much bigger model. I think the BART model is like 800 million parameters, but T0, we were using 3B. So it was T0, 3B, bigger model. And that was the very first iteration of Hello. So I ended up doing a show HN on Hacker News in January 2022 of that system. Our fine tune T0 model connected to our Elasticsearch index of those 350 million top 10,000 common crawl websites. And to the best of my knowledge, I think that's the first example that I'm aware of a LLM search engine model that's effectively connected to like a large enough index that I consider like an internet scale. So I think we were the first to release like an internet scale LLM powered rag search system In January 2022, around the time me and my future co-founder, Justin, we were like, this seems like the future. [00:14:02]Alessio: This is really cool. [00:14:03]Michael: I couldn't really sleep even like I was going to bed and I was like, I was thinking about it. Like I would say up until like 2.30 AM, like reading papers on my phone in bed, go to sleep, wake up the next morning at like eight and just be super excited to keep working. And I was also doing my thesis at the same time, my senior honors thesis at UT Austin about something very similar. We were researching factuality in abstractive question answering systems. So a lot of overlap with this project and the conclusions of my research actually kind of helped guide the development path of Hello. In the research, we found that LLMs, they don't know what they don't know. So the conclusion was, is that you always have to do a search to ensure that the model actually knows what it's talking about. And my favorite example of this even today is kind of with chat GPT browsing, where you can ask chat GPT browsing, how do I run llama.cpp? And chat GPT browsing will think that llama.cpp is some file on your computer that you can just compile with GCC and you're all good. It won't even bother doing a lookup, even though I'm sure somewhere in their internal prompts they have something like, if you're not sure, do a lookup. [00:15:13]Alessio: That's not good enough. So models don't know what they don't know. [00:15:15]Michael: You always have to do a search. And so we approached LLM powered question answering from the search angle. We pivoted to make this for programmers in June of 2022, around the time that we were getting into YC. We realized that what we're really interested in is the case where the models actually have to think. Because up until then, the models were kind of more glorified summarization models. We really thought of them like the Google featured snippets, but on steroids. And so we saw a future where the simpler questions would get commoditized. And I still think that's going to happen with like Google SGE and like it's nowadays, it's really not that hard to answer the more basic kind of like summarization, like current events questions with lightweight models that'll only continue to get cheaper over time. And so we kind of started thinking about this trade off where LLM models are going to get both better and cheaper over time. And that's going to force people who run them to make a choice. Either you can run a model of the same intelligence that you could previously for cheaper, or you can run a better model for the same price. So someone like Google, once the price kind of falls low enough, they're going to deploy and they're already doing this with SGE, they're going to deploy a relatively basic glorified summarizer model that can answer very basic questions about like current events, who won the Super Bowl, like, you know, what's going on on Capitol Hill, like those types of things. The flip side of that is like more complex questions where like you have to reason and you have to solve problems and like debug code. And we realized like we're much more interested in kind of going along the bleeding edge of that frontier case. And so we've optimized everything that we do for that. And that's a big reason of why we've built Phind specifically for programmers, as opposed to saying like, you know, we're kind of a search engine for everyone because as these models get more capable, we're very interested in seeing kind of what the emergent properties are in terms of reasoning, in terms of being able to solve complex multi-step problems. And I think that some of those emerging capabilities like we're starting to see, but we don't even fully understand. So I think there's always an opportunity for us to become more general if we wanted, but we've been along this path of like, what is the best, most advanced reasoning engine that's connected to your code base, that's connected to the internet that we can just provide. [00:17:39]Alessio: What is Phind today, pragmatically, from a product perspective, how do people interact with it? Yeah. Or does it plug into your workflow? [00:17:46]Michael: Yeah. [00:17:47]Alessio: So Phind is really a system. [00:17:48]Michael: Phind is a system for programmers when they have a question or when they're frustrated or when something's not working. [00:17:54]Swyx: When they're frustrated. [00:17:55]Alessio: Yeah. [00:17:56]Michael: For them to get on block. I think like the single, the most abstract page for Phind is like, if you're experiencing really any kind of issue as a programmer, we'll solve that issue for you in 15 seconds as opposed to 15 minutes or longer. Phind has an interface on the web. It has an interface in VS code and more IDEs to come, but ultimately it's just a system where a developer can paste in a question or paste in code that's not working and Phind will do a search on the internet or they will find other code in your code base perhaps that's relevant. And then we'll find the context that it needs to answer your question and then feed it to a reasoning engine powerful enough to actually answer it. So that's really the philosophy behind Phind. It's a system for getting developers the answers that they're looking for. And so right now from a product perspective, this means that we're really all about getting the right context. So the VS code extension that we launched recently is a big part of this because you can just ask a question and it knows where to find the right code context in your code. It can do an internet search as well. So it's up to date and it's not just reliant on what the model knows and it's able to figure out what it needs by itself and answer your question based on that. If it needs some help, you can also get yourself kind of just, there's opportunities for you yourself to put in all that context in. But the issue is also like not everyone wants these VS code. Some people like are real Neovim sticklers or they're using like PyCharm or other IDEs, JetBrains. And so for those people, they're actually like okay with switching tabs, at least for now, if it means them getting their answer. Because really like there's been an explosion of all these like startups doing code, doing search, etc. But really who everyone's competing with is ChatGPT, which only has like that one web interface. Like ChatGPT is really the bar. And so that's what we're up against. [00:19:50]Alessio: And so your idea, you know, we have Amman from Cursor on the podcast and they've gone through the we need to own the IDE thing. Yours is more like in order to get the right answer, people are happy to like go somewhere else basically. They're happy to get out of their IDE. [00:20:05]Michael: That was a great podcast, by the way. But yeah, so part of it is that people sometimes perhaps aren't even in an IDE. So like the whole task of software engineering goes way beyond just running code, right? There's also like a design stage. There's a planning stage. A lot of this happens like on whiteboards. It happens in notebooks. And so the web part also exists for that where you're not even coding it and you're just trying to get like a more conceptual understanding of what you're trying to build first. The podcast with Amman was great, but somewhere where I disagree with him is that you need to own the IDE. I think like he made some good points about not having platform risk in the long term. But some of the features that were mentioned like suggesting diffs, for example, those are all doable with an extension. We haven't yet seen with VS Code in particular any functionality that we'd like to do yet in the IDE that we can't either do through directly supported VS Code functionality or something that we kind of hack into there, which we've also done a fair bit of. And so I think it remains to be seen where that goes. But I think what we're looking to be is like we're not trying to just be in an IDE or be an IDE. Like Phind is a system that goes beyond the IDE and like is really meant to cover the entire lifecycle of a developer's thought process in going about like, hey, like I have this idea and I want to get from that idea to a working product. And so then that's what the long term vision of Phind is really about is starting with that. In the future, I think programming is just going to be really just the problem solving. Like you come up with an idea, you come up with like the basic design for the algorithm in your head, and you just tell the AI, hey, just like just do it, just make it work. And that's what we're building towards. [00:21:51]Swyx: I think we might want to give people an impression about like type of traffic that you have, because when you present it with a text box, you could type in anything. And I don't know if you have some mental categorization of like what are like the top three use cases that people tend to coalesce around. [00:22:08]Alessio: Yeah, that's a great question. [00:22:09]Michael: The two main types of searches that we see are how-to questions, like how to do X using Y tool. And this historically has been our bread and butter, because with our embeddings, like we're really, really good at just going over a bunch of developer documentation and figuring out exactly the part that's relevant and just telling you, OK, like you can use this method. But as LLMs have gotten better, and as we've really transitioned to using GPT-4 a lot in our product, people organically just started pasting in code that's not working and just said, fix it for me. [00:22:42]Swyx: Fix this. [00:22:43]Alessio: Yeah. [00:22:44]Michael: And what really shocks us is that a lot of the people who do that, they're coming from chat GPT. So they tried it in chat GPT with chat GPT-4. It didn't work. Maybe it required like some multi-step reasoning. Maybe it required some internet context or something found in either a Stack Overflow post or some documentation to solve it. And so then they paste it into find and then find works. So those are really those two different cases. Like, how can I build this conceptually or like remind me of this one detail that I need to build this thing? Or just like, here's this code. Fix it. And so that's what a big part of our VS Code extension is, is like enabling a much smoother here just like fix it for me type of workflow. That's really its main benefits. Like it's in your code base. It's in the IDE. It knows how to find the relevant context to answer that question. But at the end of the day, like I said previously, that's still a relatively, not to say it's a small part, but it's a limited part of the entire mental life cycle of a programmer. [00:23:47]Swyx: Yep. So you launched in Feb and then you launched V2 in August. You had a couple other pretty impactful posts slash feature launches. The web search one was massive. So you were mostly a GPT-4 wrapper. We were for a long time. [00:24:03]Michael: For a long time until recently. Yeah. [00:24:05]Alessio: Until recently. [00:24:06]Swyx: So like people coming over from ChatGPT were saying, we're going to say model with your version of web search. Would that be the primary value proposition? [00:24:13]Michael: Basically yeah. And so what we've seen is that any model plus web search is just significantly better than [00:24:18]Alessio: that model itself. Do you think that's what you got right in April? [00:24:21]Swyx: Like so you got 1500 points on Hacking News in April, which is like, if you live on Hacking News a lot, that is unheard of for someone so early on in your journey. [00:24:31]Alessio: Yeah. [00:24:32]Michael: We're super, super grateful for that. Definitely was not expecting it. So what we've done with Hacker News is we've just kept launching. [00:24:38]Alessio: Yeah. [00:24:39]Michael: Like what they don't tell you is that you can just keep launching. That's what we've been doing. So we launched the very first version of Find in its current incarnation after like the previous demo connected to our own index. Like once we got into YC, we scrapped our own index because it was too cumbersome at the time. So we moved over to using Bing as kind of just the raw source data. We launched as Hello Cognition. Over time, every time we like added some intelligence to the product, a better model, we just keep launching. And every additional time we launched, we got way more traffic. So we actually silently rebranded to Find in late December of last year. But like we didn't have that much traffic. Nobody really knew who we were. [00:25:18]Swyx: How'd you pick the name out of it? [00:25:19]Michael: Paul Graham actually picked it for us. [00:25:21]Swyx: All right. [00:25:22]Alessio: Tell the story. Yeah. So, oh boy. [00:25:25]Michael: So this is the biggest side. Should we go for like the full Paul Graham story or just the name? [00:25:29]Swyx: Do you want to do it now? Or do you want to do it later? I'll give you a choice. [00:25:32]Alessio: Hmm. [00:25:33]Michael: I think, okay, let's just start with the name for now and then we can do the full Paul Graham story later. But basically, Paul Graham, when we were lucky enough to meet him, he saw our name and our domain was at the time, sayhello.so and he's just like, guys, like, come on, like, what is this? You know? And we were like, yeah, but like when we bought it, you know, we just kind of broke college students. Like we didn't have that much money. And like, we really liked hello as a name because it was the first like conversational search engine. And that's kind of, that's the angle that we were approaching it from. And so we had sayhello.so and he's like, there's so many problems with that. Like, like, like the say hello, like, what does that even mean? And like .so, like, it's gotta be like a .com. And so we did some time just like with Paul Graham in the room. We just like looked at different domain names, like different things that like popped into our head. And one of the things that popped into like Paul Graham said was fine with the Phind spelling in particular. [00:26:33]Swyx: Yeah. Which is not typical naming advice, right? Yes. Because it's not when people hear it, they don't spell it that way. [00:26:38]Michael: Exactly. It's hard to spell. And also it's like very 90s. And so at first, like, we didn't like, I was like, like, ah, like, I don't know. But over time it kept growing on us. And eventually we're like, okay, we like the name. It's owned by this elderly Canadian gentleman who we got to know, and he was willing to sell it to us. [00:26:57]Michael: And so we bought it and we changed the name. Yeah. [00:27:01]Swyx: Anyways, where were you? [00:27:02]Alessio: I had to ask. [00:27:03]Swyx: I mean, you know, everyone who looks at you is wondering. [00:27:06]Michael: And a lot of people actually pronounce it Phind, which, you know, by now it's part of the game. But eventually we want to buy Phind.com and then just have that redirect to Phind. So Phind is like definitely the right spelling. But like, we'll just, yeah, we'll have all the cases addressed. [00:27:23]Swyx: Cool. So Bing web search, and then August you launched V2. Is V2 the Phind as a system pitch? Or have you moved, evolved since then? [00:27:31]Michael: Yeah, so I don't, like the V2 moniker, like, I don't really think of it that way in my mind. There's like, there's the version we launched during, last summer during YC, which was the Bing version directed towards programmers. And that's kind of like, that's why I call it like the first incarnation of what we currently are. Because it was already directed towards programmers. We had like a code snippet search built in as well, because at the time, you know, the models we were using weren't good enough to generate code snippets. Even GPT, like the text DaVinci 2 was available at the time, wasn't that good at generating code and it would generate like very, very short, very incomplete code snippets. And so we launched that last summer, got some traction, but really like we were only doing like, I don't know, maybe like 10,000 searches a day. [00:28:15]Alessio: Some people knew about it. [00:28:16]Michael: Some people used it, which is impressive because looking back, the product like was not that good. And every time we've like made an improvement to the way that we retrieve context through better embeddings, more intelligent, like HTML parsers, and importantly, like better underlying models. Every major version after that was when we introduced a better underlying answering model. Like in February, we had to swallow a bit of our pride when we were like, okay, our own models aren't good enough. We have to go to open AI. And actually that did lead to kind of like our first decent bump of traffic in February. And people kept using it, like our attention was way better too. But we were still kind of running into problems of like more advanced reasoning. Some people tried it, but people were leaving because even like GPT 3.5, both turbo and non-turbo, like still not that great at doing like code related reasoning beyond the how do you do X, like documentation search type of use case. And so it was really only when GPT 4 came around in April that we were like, okay, like this is like our first real opportunity to really make this thing like the way that it should have been all along. And having GPT 4 as the brain is what led to that Hacker News post. And so what we did was we just let anyone use GPT 4 on Fyne for free without a login, [00:29:43]Alessio: which I actually don't regret. [00:29:45]Michael: So it was very expensive, obviously. But like at that stage, all we needed to do was show like, we just needed to like show people here's what Fyne can do. That was the main thing. And so that worked. That worked. [00:29:58]Alessio: Like we got a lot of users. [00:29:59]Michael: Do you know Fireship? [00:30:01]Swyx: Yeah. YouTube, Jeff Delaney. [00:30:03]Michael: Yeah. He made a short about Fyne. [00:30:06]Alessio: Oh. [00:30:07]Michael: And that's on top of the Hacker News post. And that's what like really, really made it blow up. It got millions of views in days. And he's just funny. Like what I love about Fireship is like he like you guys, yeah, like humor goes a long a long way towards like really grabbing people's attention. And so that blew up. [00:30:25]Swyx: Something I would be anxious about as a founder during that period, so obviously we all remember that pretty closely. So there were a couple of people who had access to the GPT-4 API doing this, which is unrestricted access to GPT-4. And I have to imagine OpenAI wasn't that happy about that because it was like kind of de facto access to GPT-4 before they released it. [00:30:46]Alessio: No, no. [00:30:47]Michael: GPT-4 was in chat GPT from day one. I think. OpenAI actually came to our support because what happened was we had people building unofficial APIs around to try to get free access to it. And I think OpenAI actually has the right perspective on this where they're like, OK, people can do whatever they want with the API if they're paying for it, like they can do whatever they want, but it's like not OK if, you know, paying customers are being exploite by these other actors. They actually got in touch with us and they helped us like set up better Cloudflare bot monitoring controls to effectively like crack down on those unofficial APIs, which we're very happy about. But yeah, so we launched GPT-4. A lot of people come to the product and yeah, for a long time, we're just we're figuring out like what do we make of this, right? How do we a make it better, but also deal with like our costs, which have just like massively, massively ballooned. Over time, it's become more clear with the release of Llama 2 and Llama 3 on the horizon that we will once again see a return to vertical applications running their own models. As was true last year and before, I think that GPT-4, my hypothesis is that the jump from 4 to 4.5 or 4 to 5 will be smaller than the jump from 3 to 4. And the reason why is because there were a lot of different things. Like there was two plus, effectively two, two and a half years of research that went into going from 3 to 4. Like more data, bigger model, all of the instruction tuning techniques, RLHF, all of that is known. And like Meta, for example, and now there's all these other startups like Mistral too, like there's a bunch of very well-funded open source players that are now working on just like taking the recipe that's now known and scaling it up. So I think that even if a delta exists, the delta between in 2024, the delta between proprietary and open source won't be large enough that a startup like us with a lot of data that we've collected can take the data that we have, fine tune an open source model, and like be able to have it be better than whatever the proprietary model is at the time. That's my hypothesis.Michael: But we'll once again see a return to these verticalized models. And that's something that we're super excited about because, yeah, that brings us to kind of the fine model because the plan from kind of the start was to be able to return to that if that makes sense. And I think now we're definitely at a point where it does make sense because we have requests from users who like, they want longer context in the model, basically, like they want to be able to ask questions about their entire code base without, you know, context and retrieval and taking a chance of that. Like, I think it's generally been shown that if you have the space to just put the raw files inside of a big context window, that is still better than chunking and retrieval. So there's various things that we could do with longer context, faster speed, lower cost. Super excited about that. And that's the direction that we're going with the fine model. And our big hypothesis there is precisely that we can take a really good open source model and then just train it on absolutely all of the high quality data that we can find. And there's a lot of various, you know, interesting ideas for this. We have our own techniques that we're kind of playing with internally. One of the very interesting ideas that I've seen, I think it's called Octopack from BigCode. I don't think that it made that big waves when it came out, I think in August. But the idea is that they have this data set that maps GitHub commits to a change. So basically there's all this really high quality, like human made, human written diff data out there on every time someone makes a commit in some repo. And you can use that to train models. Take the file state before and like given a commit message, what should that code look like in the future? [00:34:52]Swyx: Got it. [00:34:53]Alessio: Do you think your HumanEval is any good?Michael: So we ran this experiment. We trained the Phind model. And if you go to the BigCode leaderboard, as of today, October 5th, all of our models are at the top of the BigCode leaderboard by far. It's not close, particularly in languages other than Python. We have a 10 point gap between us and the next best model on JavaScript. I think C sharp, multilingual. And what we kind of learned from that whole experience releasing those models is that human eval doesn't really matter. Not just that, but GPT-4 itself has been trained on human eval. And we know this because GPT-4 is able to predict the exact docstring in many of the problems. I've seen it predict like the specific example values in the docstring, which is extremely improbable. So I think there's a lot of dataset contamination and it only captures a very limited subset of what programmers are actually doing. What we do internally for evaluations are we have GPT-4 score answers. GPT-4 is a really good evaluator. I mean, obviously it's by really good, I mean, it's the best that we have. I'm sure that, you know, a couple of months from now, next year, we'll be like, oh, you know, like GPT-4.5, GPT-5, it's so much better. Like GPT-4 is terrible, but like right now it's the best that we have short of humans. And what we found is that when doing like temperature zero evals, it's actually mostly deterministic GPT-4 across runs in assigning scores to two different answers. So we found it to be a very useful tool in comparing our model to say, GPT-4, but yeah, on our like internal real world, here's what people will be asking this model dataset. And the other thing that we're running is just like releasing the model to our users and just seeing what they think. Because that's like the only thing that really matters is like releasing it for the application that it's intended for, and then seeing how people react. And for the most part, the incredible thing is, is that people don't notice a difference between our model and GPT-4 for the vast majority of searches. There's some reasoning problems that GPT-4 can still do better. We're working on addressing that. But in terms of like the types of questions that people are asking on find, there's not that much difference. And in fact, I've been running my own kind of side by side comparisons, shout out to GodMode, by the way. [00:37:16]Michael: And I've like myself, I've kind of confirmed this to be the case. And even sometimes it gives a better answer, perhaps like more concise or just like better implementation than GPT-4, which that's what surprises me. And by now we kind of have like this reasoning is all you need kind of hypothesis where we've seen emerging capabilities in the find model, whereby training it on high quality code, it can actually like reason better. It went from not being able to solve world problems, where riddles were like with like temporal placement of objects and moving and stuff like that, that GPT-4 can do pretty well. We went from not being able to do those at all to being able to do them just by training on more code, which is wild. So we're already like starting to see like these emerging capabilities. [00:37:59]Swyx: So I just wanted to make sure that we have the, I guess, like the model card in our heads. So you started from Code Llama? [00:38:07]Alessio: Yes. [00:38:08]Swyx: 65, 34? 34. [00:38:10]Michael: So unfortunately, there's no Code Llama 70b. If there was, that would be super cool. But there's not. [00:38:15]Swyx: 34. And then, which in itself was Llama 2, which is on 2 trillion tokens and the added 500 billion code tokens. Yes. [00:38:22]Michael: And you just added a bunch more. [00:38:23]Alessio: Yeah. [00:38:24]Michael: And they also did a couple of things. So they did, I think they did 500 billion, like general pre-training and then they did an extra 20 billion long context pre-training. So they actually increased the like max position tokens to 16k up from 8k. And then they changed the theta parameter for the ROPE embeddings as well to give it theoretically better long context support up to 100k tokens. But yeah, but otherwise it's like basically Llama 2. [00:38:50]Swyx: And so you just took that and just added data. [00:38:52]Michael: Exactly. [00:38:53]Swyx: You didn't do any other fundamental. [00:38:54]Michael: Yeah. So we didn't actually, we haven't yet done anything with the model architecture and we just trained it on like many, many more billions of tokens on our own infrastructure. And something else that we're taking a look at now is using reinforcement learning for correctness. One of the interesting pitfalls that we've noticed with the Phind model is that in cases where it gets stuff wrong, it sometimes is capable of getting the right answer. It's just, there's a big variance problem. It's wildly inconsistent. There are cases when it is able to get the right chain of thought and able to arrive [00:39:25]Alessio: at the right answer, but not always. [00:39:27]Michael: And so like one of our hypotheses is something that we're going to try is that like we can actually do reinforcement learning on, for a given problem, generate a bunch of completions and then like use the correct answer as like a loss basically to try to get it to be more correct. And I think there's a high chance I think of this working because it's very similar to the like RLHF method where you basically show pairs of completions for a given question except the criteria is like which one is like less harmful. But here we have a different criteria. But if the model is already capable of getting the right answer, which it is, we're just, we just need to cajole it into being more consistent. [00:40:06]Alessio: There were a couple of things that I noticed in the product that were not strange but unique. So first of all, the model can talk multiple times in a row, like most other applications is like human model, human model. And then you had outside of the thumbs up, thumbs down, you have things like have DLLM prioritize this message and its answers or then continue from this message to like go back. How does that change the flow of the user and like in terms of like prompting it, yeah, what are like some tricks or learnings you've had? [00:40:37]Michael: So yeah, that's specifically in our pair programmer mode, which is a more conversational mode that also like asks you clarifying questions back if it doesn't fully understand what you're doing and it kind of it holds your hand a bit more. And so from user feedback, we had requests to make more of an auto GPT where you can kind of give it this problem that might take multiple searches or multiple different steps like multiple reasoning steps to solve. And so that's the impetus behind building that product. Being able to do multiple steps and also be able to handle really long conversations. Like people are really trying to use the pair programmer to go from like sometimes really from like basic idea to like complete working code. And so we noticed was is that we were having like these very, very long threads, sometimes with like 60 messages, like 100 messages. And like those become really, really challenging to manage the appropriate context window of what should go inside of the context and how to preserve the context so that the model can continue or the product can continue giving good responses, even if you're like 60 messages deep in a conversation. So that's where the prioritized user messages like comes from. It's like people have asked us to just like let them pin messages that they want to be left in the conversation. And yeah, and then that seems to have like really gone a long way towards solving that problem, yeah. [00:41:54]Alessio: And then you have a run on Replit thing. Are you planning to build your own repl? Like learning some people trying to run the wrong code, unsafe code? [00:42:03]Michael: Yes. Yes. So I think like in the long term vision of like being a place where people can go from like idea to like fully working code, having a code sandbox, like a natively integrated code sandbox makes a lot of sense. And replit is great and people use that feature. But yeah, I think there's more we can do in terms of like having something a bit closer to code interpreter where it's able to run the code and then like recursively iterate on it. Exactly. [00:42:31]Swyx: So you're working on APIs to enable you to do that? Yep. So Amjad has specifically told me in person that he wants to enable that for people at the same time. He's also working on his own models, and Ghostwriter and you know, all the other stuff. So it's going to get interesting. Like he wants to power you, but also compete with you. Yeah. [00:42:47]Michael: And like, and we love replit. I think that a lot of the companies in our space, like we're all going to converge to solving a very similar problem, but from a different angle. So like replit approaches this problem from the IDE side. Like they started as like this IDE that you can run in the browser. And they started from that side, making coding just like more accessible. And we're approaching it from the side of like an LLM that's just like connected to everything that it needs to be connected to, which includes your code context. So that's why we're kind of making inroads into IDEs, but we're kind of, we're approaching this problem from different sides. And I think it'll be interesting to see where things end up. But I think that in the long, long term, we have an opportunity to also just have like this general technical reasoning engine product that's potentially also not just for, not just for programmers. It's also powered in this web interface, like where there's potential, I think other things that we will build that eventually might go beyond like our current scope. [00:43:49]Swyx: Exciting. We'll look forward to that. We're going to zoom out a little bit into sort of AI ecosystem stories, but first we got to get the Paul Graham, Ron Conway story. [00:43:59]Alessio: Yeah. [00:44:00]Michael: So flashback to last summer, we're in the YC batch. We're doing the summer batch, summer 22. So the summer batch runs from June to September, approximately. And so this was late July, early August, right around the time that many like YC startups start like going out, like during up, here's how we're going to pitch investors and everything. And at the same time, me and my co-founder, Justin, we were planning on moving to New York. So for a long time, actually, we were thinking about building this company in New York, mainly for personal reasons, actually, because like during the pandemic, pre-ChatGPT, pre last year, pre the AI boom, SF unfortunately really kind of, you know, like lost its luster. Yeah. Like no one was here. It was far from clear, like if there would be an AI boom, if like SF would be like... [00:44:49]Alessio: Back. [00:44:50]Michael: Yeah, exactly. Back. As everyone is saying these days, it was far from clear. And so, and all of our friends, we were graduating college because like we happened to just graduate college and immediately start YC, like we didn't even have, I think we had a week in between. [00:45:06]Swyx: You didn't bother looking for jobs. You were just like, this is what we want to do. [00:45:08]Michael: Well, actually both me and my co-founder, we had jobs that we secured in 2021 from previous internships, but we both, funny enough, when I spoke to my boss's boss at the company at where I reneged my offer, I told him we got into YC, they actually said, yeah, you should do YC. [00:45:27]Swyx: Wow. [00:45:28]Alessio: That's very selfless. [00:45:29]Swyx: That was really great that they did that. But in San Francisco, they would have offered to invest as well. [00:45:33]Michael: Yes, they would have. But yeah, but we were both planning to be in New York and all of our friends were there from college at this point, like we have this whole plan where like on August 1st, we're going to move to New York and we had like this Airbnb for the month of New York. We're going to stay there and we're going to work and like all of that. The day before we go to New York, I called Justin and I just, I tell him like, why are we doing this? Because in our batch, by the time August 1st rolled around, all of our mentors at YC were saying like, hey, like you should really consider staying in SF. [00:46:03]Swyx: It's the hybrid batch, right? [00:46:04]Michael: Yeah, it was the hybrid batch, but like there were already signs that like something was kind of like afoot in SF, even if like we didn't fully want to admit it yet. And so we were like, I don't know, I don't know. Something kind of clicked when the rubber met the road and it was time to go to New York. We're like, why are we doing this? And like, we didn't have any good reasons for staying in New York at that point beyond like our friends are there. So we still go to New York because like we have the Airbnb, like we don't have any other kind of place to go for the next few weeks. We're in New York and New York is just unfortunately too much fun. Like all of my other friends from college who are just, you know, basically starting their jobs, starting their lives as adults. They just stepped into these jobs, they're making all this money and they're like partying and like all these things are happening. And like, yeah, it's just a very distracting place to be. And so we were just like sitting in this like small, you know, like cramped apartment, terrible posture, trying to get as much work done as we can, too many distractions. And then we get this email from YC saying that Paul Graham is in town in SF and he is doing office hours with a certain number of startups in the current batch. And whoever signs up first gets it. And I happen to be super lucky. I was about to go for a run, but I just, I saw the email notification come across the street. I immediately clicked on the link and like immediately, like half the spots were gone, but somehow the very last spot was still available. And so I picked the very, very last time slot at 7 p.m. semi-strategically, you know, so we would have like time to go over. And also because I didn't really know how we're going to get to SF yet. And so we made a plan that we're going to fly from New York to SF and back to New York in one day and do like the full round trip. And we're going to meet with PG at the YC Mountain View office. And so we go there, we do that, we meet PG, we tell him about the startup. And one thing I love about PG is that he gets like, he gets so excited. Like when he gets excited about something, like you can see his eyes like really light up. And he'll just start asking you questions. In fact, it's a little challenging sometimes to like finish kind of like the rest of like the description of your pitch because like, he'll just like asking all these questions about how it works. And I'm like, you know, what's going on? [00:48:19]Swyx: What was the most challenging question that he asked you? [00:48:21]Michael: I think that like really how it worked. Because like as soon as like we told him like, hey, like we think that the future of search is answers, not links. Like we could really see like the gears turning in his head. I think we were like the first demo of that. [00:48:35]Swyx: And you're like 10 minutes with him, right? [00:48:37]Michael: We had like 45, yeah, we had a decent chunk of time. And so we tell him how it works. Like he's very excited about it. And I just like, I just blurted out, I just like asked him to invest and he hasn't even seen the product yet. We just asked him to invest and he says, yeah. And like, we're super excited about that. [00:48:55]Swyx: You haven't started your batch. [00:48:56]Michael: No, no, no. This is about halfway through the batch or two, two, no, two thirds of the batch. [00:49:02]Swyx: And you're like not technically fundraising yet. We're about to start fundraising. Yeah. [00:49:06]Michael: So we have like this demo and like we showed him and like there was still a lot of issues with the product, but I think like it must have like still kind of like blown his mind in some way. So like we're having fun. He's having fun. We have this dinner planned with this other friend that we had in SF because we were only there for that one day. So we thought, okay, you know, after an hour we'll be done, you know, we'll grab dinner with our friend and we'll fly back to New York. But PG was like, like, I'm having so much fun. Do you want to have dinner? Yeah. Come to my house. Or he's like, I gotta go have dinner with my wife, Jessica, who's also awesome, by the way. [00:49:40]Swyx: She's like the heart of YC. Yeah. [00:49:42]Michael: Jessica does not get enough credit as an aside for her role. [00:49:46]Swyx: He tries. [00:49:47]Michael: He understands like the technical side and she understands people and together they're just like a phenomenal team. But he's like, yeah, I got to go see Jessica, but you guys are welcome to come with. Do you want to come with? And we're like, we have this friend who's like right now outside of like literally outside the door who like we also promised to get dinner with. It's like, we'd love to, but like, I don't know if we can. He's like, oh, he's welcome to come too. So all of us just like hop in his car and we go to his house and we just like have this like we have dinner and we have this just chat about the future of search. Like I remember him telling Jessica distinctly, like our kids as kids are not going to know what like a search result is. Like they're just going to like have answers. That was really like a mind blowing, like inflection point moment for sure. [00:50:34]Swyx: Wow, that email changed your life. [00:50:35]Michael: Absolutely. [00:50:36]Swyx: And you also just spoiled the booking system for PG because now everyone's just going to go after the last slot. Oh man. [00:50:42]Michael: Yeah. But like, I don't know if he even does that anymore. [00:50:46]Swyx: He does. He does. Yeah. I've met other founders that he did it this year. [00:50:49]Michael: This year. Gotcha. But when we told him about how we did it, he was like, I am like frankly shocked that YC just did like a random like scheduling system. [00:50:55]Alessio: They didn't like do anything else. But, um. [00:50:58]Swyx: Okay. And then he introduces Duron Conway. Yes. Who is one of the most legendary angels in Silicon Valley. [00:51:04]Michael: Yes.So after PG invested, the rest of our round came together pretty quickly. [00:51:10]Swyx: I'm, by the way, I'm surprised. Like it's, it might feel like playing favorites right within the current batch to be like, yo, PG invested in this one. Right. [00:51:17]Alessio: Too bad for the others. [00:51:18]Swyx: Too bad for the others, I guess. [00:51:19]Michael: I think this is a bigger point about YC and like these accelerators in general is like YC gets like a lot of criticism from founders who feel like they didn't get value out of it. But like, in my view, YC is what you make of it. And YC tells you this. They're like, you really got to grab this opportunity, like buy the balls and make the most of it. And if you do, then it could be the best thing in the world. And if you don't, and if you're just kind of like a passive, even like an average founder in YC, you're still going to fail. And they tell you that. They're like, if you're average in your batch, you're going to fail. Like you have to just be exceptional in every way. With that in mind, perhaps that's even part of the reason why we asked PG to invest. And so yeah, after PG invested, the rest of our round came together pretty quickly, which I'm very fortunate for. And yeah, he introduced us to Ron. And after he did, I get a call from Ron. And then Ron says like, hey, like PG tells me what you're working on. I'd love to come meet you guys. And I'm like, wait, no way. And then we're just holed up in this like little house in San Mateo, which is a little small, but you know, it had a nice patio. In fact, we had like a monitor set up outside on the deck out there. And so Ron Conway comes over, we go over to the patio where like our workstation is. And Ron Conway, he's known for having like this notebook that he goes around with where he like sits down with the notebook and like takes very, very detailed notes. So he never like forgets anything. So he sits down with his notebook and he asks us like, hey guys, like, what do you need? And we're like, oh, we need GPUs. Back then, the GPU shortage wasn't even nearly as bad as it is now. But like even then, it was still challenging to get like the quota that we needed. And he's like, okay, no problem. And then like he leaves a couple hours later, we get an email and we're CC'd on an email that Ron wrote to Jensen, the CEO of Nvidia, saying like, hey, these guys need GPUs. [00:53:02]Swyx: You didn't say how much? It was just like, just give them GPUs. [00:53:04]Alessio: Basically, yeah. [00:53:05]Michael: Ron is known for writing these like one-liner emails that are like very short, but very to the point. And I think that's why like everyone responds to Ron. Everyone loves Ron. And so Jensen responds. He responds quickly, like tagging this VP of AI at Nvidia. And we start working with Nvidia, which is great. And something that I love about Nvidia, by the way, is that after that intro, we got matched with like a dedicated team. And at Nvidia, they know that they're going to win regardless. So they don't care where you get the GPUs from. They're like, they're truly neutral, unlike various sales reps that you might encounter at various like clouds and, you know, hardware companies, et cetera. They actually just want to help you because they know they don't care. Like regardless, they know that if you're getting Nvidia GPUs, they're still winning. So I guess that's a tip is that like if you're looking for GPUs like Nvidia, they'll help you do it. [00:53:54]Swyx: So just to tie up this thing, because so first of all, that's a fantastic story. And I just wanted to let you tell that because it's special. That is a strategic shift, right? That you already decided to make by the time you met Ron, which is we are going to have our own hardware. We're going to rack him in a data center somewhere. [00:54:11]Michael: Well, not even that we need our own hardware because actually we don't. Right. But we just we just need GPUs, period. And like every cloud loves like they have their own sales tactics and like they want to make you commit to long terms and like very non-flexible terms. And like there's a web of different things that you kind of have to navigate. Nvidia will kind of be to the point like, OK, you can do this on this cloud, this on this cloud. Like this is your budget. Maybe you want to consider buying as well. Like they'll help you walk through what the options are. And the reason why they're helpful is because like they look at the full picture. So they'll help you with the hardware. And in terms of software, they actually implemented a custom feature for us in Faster Transformer, which is one of their libraries.Swyx: For you? [00:54:53]Michael: For us. Yeah. Which is wild. I don't think they would have done it otherwise. They implemented streaming generation for T5 based models, which we were running at the time up until we switched to GPT in February, March of this year. So they implemented that just for us, actually, in Faster Transformer. And so like they'll help you like look at the complete picture and then just help you get done what you need to get done. I know one of your interests is also local models, open source models and hardware kind of goes hand in hand.Alessio: Any fun projects, explorations in the space that you want to share with local llamas and stuff? [00:55:27]Michael: Yeah, it's something that we're very interested in because something that kind of we're hearing a lot about is like people want something like find, especially comp

This week, we're joined by Amjad Iraqi, a senior editor at +972 Magazine and a policy analyst at the think tank Al-Shabaka. Since Hamas's brutal attack and Israel's declaration of war, thousands of people in Gaza, the West Bank, and Israel have been killed. More than a million people have been ordered to leave the northern Gaza Strip; more than two million Gazans are being denied food, water, electricity, and fuel. [3:10] Amjad, a Palestinian citizen of Israel based in London, explains what's different about this moment for both Palestinians and Israeli Jews. [32:30] He also untangles the international context in which Hamas operates, both in relation to its Arab neighbors and global powers like the United States—the only country, he believes, with the power to stop Israel from committing genocide. [47:20] Finally, Amjad highlights the need to reject colonial and statist frameworks in fighting for Palestinian liberation. In this episode, we ask: How was Israel able to manufacture a forgetting of occupied Palestinians by Israeli Jews?How has the politics in Israel shifted following Hamas's attack? How should we understand this latest wave of violence, given the violence required to maintain Israel's “status quo”? What are the freedom dreams of Palestinian people?For more, see: * Amjad's writing in the wake of Hamas's attack in southern Israel—‘Get out of there now'—and an older piece he wrote about “the worn-out aphorism of a ‘cycle of violence'” in Israel-Palestine* A useful conversation with Tareq Baconi, Amjad's colleague at Al-Shabaka* Our previous TTSG conversations on Israel-Palestine: * Embracing U.F.O.s and rejecting Zionism, with Arielle Angel (August 2023)* Loving Palestine, with Esmat Elhalaby (May 2021)   * Sheikh Jarrah and What Feels Different This Time about Israel/Palestine, with Josh Leifer (May 2021) Subscribe on Patreon or Substack to join our Discord community. You can also follow us on Instagram, TikTok, and X (Twitter), and email us at timetosaygoodbyepod@gmail.com.  This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit goodbye.substack.com/subscribe

Episode 105! Amjad Ahmad, a leading venture capitalist and seasoned investment professional with extensive experience in VC and private equity in emerging markets, joins The 966. Amjad discusses the VC ecosystem in Saudi Arabia, the MENA region, and globally today. In addition to over two decades of experience investing in the region, Amjad is also chairman and founding director of the EmpowerME initiative at the Atlantic Council, a program which empowers entrepreneurs, women, and the private sector in the region and which oversees in collaboration with Georgetown University the WIn Fellowship, a fully sponsored year-long program for female entrepreneurs from the region. Amjad also sits on the board of directors for several companies in the US and across the region. Before the discussion, the hosts discuss crypto in the MENA region, an incredible report on giga-projects from Knight Frank highlighting growth in Saudi Arabia, and much more in the concluding Yallah! segment. 6:50 - Richard's One Big Thing is crypto in the MENA region and the region's growth as a player in that space. Saudi Arabia is the fastest growing crypto economy globally amid a regional drive in the sector. The kingdom led globally with a 12% increase in crypto transaction volume reaching nearly $31 billion from July 2022 through June 2023, according to an industry report released Tuesday cited by Al Monitor. 17:27 - Lucien's One Big Thing is a recent report from the real estate firm Knight Frank on Saudi Arabia, which included an excellent update on the progress and top-level figures of Saudi Arabia's giga-projects. This one is available online and published by 2x previous guest of The 966, Faisal Durrani, who is partner and head of MENA research for the global real estate firm. The firm reviews how the total value of real estate (and infrastructure) projects since the launch of Saudi Arabia's National Transformation Plan in 2016 has crossed US$ 1.25 trillion. "The phenomenal transformation in 2022's fastest- growing major global economy is clearly visible across the entire urban landscape, with the Kingdom's Giga projects set to deliver a new urban future for Saudi Arabia through a transformed and vastly expanded residential, office, retail, hospitality and industrial offering, designed to support the projected population growth which is expected to top 50 million by 2030 (government forecasts) as well as the arrival of 100 million international visitors by 2030," the report said. 24:18 - Amjad Ahmad, a leading venture capitalist and seasoned investment professional with extensive experience in VC and private equity in emerging markets, joins The 966.1:24:30 - Yallah! 6 top storylines to get you up to speed on Saudi Arabia this week. Saudi Arabia said on Monday it has decided to end light-touch oversight of its nuclear activities by the U.N. atomic watchdog and switch to full-blown safeguards, a change the agency has been demanding for years.Soudah Peaks is Saudi's new luxury mountain destination opening in Aseer in 2033. Spanning across 627 square kilometres, it will sit 3,015 metres above sea level on the highest mountain peak in Saudi and will have 2,700 keys, 1,336 residential units, over 30 attractions and 80,000 square metres of commerical space.As many as 500 leaders, sector experts and officials from 120 countries are expected to attend the World Tourism Day in Riyadh on September 27-28, the organising committee for the events said. World Tourism Day 2023 will be held under the slogan “Green Tourism and Investment”. Saudi traffic authorities have said a visitor is allowed to use a foreign driving licence for one year in the kingdom, which is seeking to attract more tourists as part of efforts to diversify its oil-reliant economy.In a significant move toward economic diversification and revolutionizing the national transportation landscape, the Economic Cities and Special Zones Authority has granted Lucid Motors a permit to operate a manufacturing unit in King Abdullah Economic City. The Saudi foreign minister addressed the UN General Assembly on 24 September in a speech calling for the establishment of a Palestinian state and a “just, comprehensive solution to the Palestinian issue” while criticizing Israel for its ongoing illegal building of Jewish settlements in the occupied West Bank.

Amjad Masad is the founder and CEO of Replit, an online coding environment. Amjad and Auren discuss what the rise of AI means for coding, developers, and tech companies. Amjad shares his thoughts on consumer vs creator computer culture, why development hasn't moved to the cloud faster, and why everyone should be able to call themselves a programmer. They also discuss Amjad's experience coming from Jordan to start a company in the US. Amjad shares whether he still thinks Silicon Valley is the best place for startups. They also discuss unique considerations for CEOs that aren't talked about often: free speech as an executive, assessing expert opinion, and how investing makes you a better CEO. World of DaaS is brought to you by SafeGraph & Flex Capital. For more episodes, visit safegraph.com/podcasts.You can find Auren Hoffman on Twitter at @auren and Amjad Masad on Twitter at @amasad. 

This Week in Startups is brought to you by… LinkedIn Jobs. A business is only as strong as its people, and every hire matters. Go to https://LinkedIn.com/TWIST to post your first job for free. Terms and conditions apply. .Tech Domains has a new program called startups.tech, where you can get your startup featured on This Week in Startups. Go to https://startups.tech/jason to find out how! Supergut is the only nutrition brand clinically-proven to improve digestion, balance blood sugar, sustain energy, and manage weight. Save 25% on their delicious shakes, bars, and prebiotic mix at https://Supergut.com with code TWIST. * Today's show: Replit CEO Amjad Masad joins Jason to discuss the latest developments in IDEs (3:04), leveraging AI for coding (11:48), Replit's Ghostwriter (23:40), and much more! * Time stamps: (00:00) Replit CEO Amjad Masad joins Jason (3:04) The origin of integrated development environments (IDEs) uses and importance for developers (6:44) IntelliSense, Replit's Ghostwriter and other debugging tools (10:28) LinkedIn Jobs - Post your first job for free at https://linkedin.com/twist (11:48) Leveraging AI in suggestion tools and coding platforms (14:17) The role of autonomous agents in startup development (19:20) Replit's Bounties platform and Replit's mission to build artificial developer intelligence (ADI) (22:25) .Tech Domains - Apply to get your startup featured on This Week in Startups at https://startups.tech/jason (23:40) Amjad Masad demos Replit's Ghostwriter and other apps (31:46) Getting more people to become developers and low-code platforms (36:35) Supergut - Get 25% off with code TWIST at https://supergut.com (38:06) “Make Something Wonderful” Steve Jobs in his own words (43:56) The human mind and the origin of Amjad's passion for computers (48:22) Embracing AI and the resulting changes at Replit (55:27) Paradigm shifts in Hollywood and tech (1:03:06) thebrain.com * Check out Replit: https://replit.com Follow Amjad: https://twitter.com/amasad * Read LAUNCH Fund 4 Deal Memo: https://www.launch.co/four Apply for Funding: https://www.launch.co/apply Buy ANGEL: https://www.angelthebook.com Great recent interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland, PrayingForExits, Jenny Lefcourt Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow Jason: Twitter: https://twitter.com/jason Instagram: https://www.instagram.com/jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Follow TWiST: Substack: https://twistartups.substack.com Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin * Subscribe to the Founder University Podcast: https://www.founder.university/podcast

Amjad Ayub Mirza on Secret Plans of Modi Govt for POK and Breakup of Pakistan into 4 | Sanjay Dixit

GUEST OVERVIEW: Tony Nikolic is General Manager of AFL Solicitors. He is a highly accomplished Lawyer and Criminologist with a great passion for learning about law and providing efficient and effective legal aid to clients to achieve favourable outcomes. Committed to social justice, he consistently offers pro bono legal work and devotes a portion of his time to disadvantaged persons; aiming to make a positive difference in their lives whilst contributing to the betterment of society. He also has a background in both criminology and whistleblower protections. GUEST OVERVIEW: Thorsteinn Siglaugsson is an Icelandic consultant, entrepreneur and writer and contributes regularly to The Daily Sceptic as well as various Icelandic publications. He holds a BA degree in philosophy and an MBA from INSEAD. Thorsteinn is a certified expert in the Theory of Constraints and author of From Symptoms to Causes – Applying the Logical Thinking Process to an Everyday Problem. GUEST OVERVIEW: Ralph Emmanuel Didier "Deej" Babet is an Australian politician and a member of the United Australia Party. He was elected to represent Victoria in the Australian Senate at the 2022 Australian federal election, commencing his six-year term on 1 July 2022.

Amjad Masad is the Founder and CEO @ Replit, whose mission is to bring the next billion software creators online. With Replit, Amjad has raised over $100M from the likes of Peter Thiel, a16z, Coatue and Addition, to name a few. Before founding Replit, Amjad was a tech lead on the JavaScript infrastructure team at Facebook. Before Facebook, Amjad was #1 employee at Codecademy. In Today's Episode with Amjad Masad We Discuss: 1.) From Troublemaker Child in Iran to Silicon Valley Founder: How did Amjad make his way into the world of tech and Silicon Valley having grown up as a misbehaving child in Iran? In what ways did Amjad show early signs of exceptionalism? Why does he always look for this in people he is hiring for Replit? What does Amjad know now that he wishes he had known when he started Replit? 2.) The Future: A New World with AI at the Centre: Why does Amjad believe we will see thousands of billionaires created from the innovation in AI? Why does Amjad believe AI will lead to 100 more Elon Musks? If Amjad were CEO of Facebook, what would he do? Why and how do they have to invest in AI? Will TikTok be banned in the US? How will this be resolved? Why does Amjad believe that 300 people control the future of AI? Is that not concerning? 3.) The Future of Society, Employment and Wages: Why does Amjad believe in 10 years, 1 engineer will be able to do what 100 do today? What will happen to the real wages of engineers? How does Amjad see the inclusion of universal basic income in the future? Is Amjad concerned about societal and civil unrest with wealth disparity widening further? 4.) Building the Replit Army: Why does Amjad believe that so many in tech have gotten too soft in the last few years? Why does Amjad release a "Why You Should Not Join Replit" page and share it with all candidates? How can a founder know if they have good company values or not? Why does Amjad feel we need a spiritual reform in company building? Why are startups and religion the same?

My guest today is Amjad Masad. Amjad is the founder and CEO of Replit, whose mission is to bring the next billion software creators online. Replit has built a browser-based coding environment that makes coding more fun, collaborative, and approachable. We discuss how that is possible and why the way most of us interact with computers today is suboptimal. We then go into the effects of AI on software creation and its broader impacts on technology. Please enjoy my conversation with Amjad Masad.   For the full show notes, transcript, and links to mentioned content, check out the episode page here.   -----   This episode is brought to you by Tegus. Tegus streamlines the investment research process so you can get up to speed and find answers to critical questions on companies faster and more efficiently. The Tegus platform surfaces the hard-to-get qualitative insights, gives instant access to critical public financial data through BamSEC, and helps you set up customized expert calls. It's all done on a single, modern SaaS platform that offers 360-degree insight into any public or private company. I've been so impressed by the platform that my firm, Positive Sum, recently made an investment in Tegus. We did so because we feel that Tegus will be the gold standard platform for investing research for decades to come. As a listener, you can take Tegus for a free test drive by visiting tegus.co/patrick.   -----   Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.    Past guests include Tobi Lutke, Kevin Systrom, Mike Krieger, John Collison, Kat Cole, Marc Andreessen, Matthew Ball, Bill Gurley, Anu Hariharan, Ben Thompson, and many more.   Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here.   Follow us on Twitter: @patrick_oshag | @JoinColossus   Show Notes[00:02:18] - [First question] - The Steve Jobs black-pill  [00:06:02] - Speculation on the near future of programming [00:09:38] - Potential convergence of simple software and coding tools [00:11:23] - What an IDE is and how it works [00:12:44] - The definition of REPL and the role of Replit in the space [00:14:21] - Decreasing friction in a programming environment using primitives [00:19:47] - Real-world effects of Replit's low-friction design [00:23:27] - His perspective on new coding and AI technologies [00:30:29] - Promises and limitations of the user-friendly programming movement [00:33:16] - The dynamic nature of IDE technology and its challenges [00:39:53] - How he's priming his team to react to new technologies like the upcoming GPT-4 [00:43:58] - Recommended skills and training for the AI world of the future [00:47:21] - The impact of IDE and AI tech innovations on existing tech giants [00:51:56] - His mixed but optimistic views on the trajectory of AI [00:54:40] - Recommendations for the curious listener without a programming background [00:56:50] - The role of smartphones in the IDE movement [00:58:28] - The kindest thing anyone has ever done for him

Programming has transitioned from machine code to punch cards, from assembly to high-level languages, and from C to dynamic languages, then to Python. Now, we are heading into the next frontier with artificial intelligence (AI) technology, and today's guest, Amjad Masad, is one of the leaders designing the future of software engineering. During this episode, Amjad explains how the challenges he came up against during his early days as a programmer inspired him to make programming more accessible and how he is turning that dream into a reality through his privately-held company, Replit. Among other things, you'll hear why Replit might appeal to both novice and highly experienced programmers, their “code as data” approach, the exponential growth that the company has experienced since its founding in 2016, and why Amjad believes that in the coming years, a single software developer might have the same productivity level as a 100 software developers today! “Our mission is to power the next generation of software development and rebuild something that is collaborative by default, instance ubiquitous and AI-powered.” — @amasad Key Points From This Episode: Amjad Masad, the co-founder and CEO of Replit, shares what the company does and the vision that drives them. The problem with the programming world that inspired Amjad to found Replit. What the Replit prototype was like in its infancy. Amjad's breakthrough that went viral. The early years of Amjad's career. How Replit has grown since its founding in 2016. Value that Replit aims to provide to beginner and senior programmers. Where the idea of using code as data originated. How Replit acquired its name. Impacts of the Transformer revolution. How Transformers are programmed. Amjad explains what his Ghostwriter program does. Valuable lessons Amjad learned from The Mythical Man-Month. Software engineering's latest “silver bullet.” What Amjad sees as the role of software engineers in the future. A high-level overview of the history of programming and the developments that Amjad expects to see in the coming years. Factors that might make Replit stand out from its competitors. What Amjad wishes he knew from day one of building Replit.

Sam and Emma break down the biggest headlines as the midterm elections approach this evening. Plus, they're joined by Amjad Iraqi, editor at 972 Magazine, to give us the state of play of what happened with the Israeli elections. First, Emma and Sam run through updates on Donald Trump's buildup to another presidential run, midterm early voter suppression attempts and the efforts to fight back, and early talk of potential Zelensky-Russia negotiations, before diving deeper into Tucker's recent expert coverage on why John Fetterman must die. Amjad Iraqi then joins as he gets right into assessing the recent election of perhaps both the furthest right and most stable government in Israeli history, before he steps back a few years to discuss the developments in Israeli politics that led us here, walking through the last decade of affiliation being defined around one's support of Netanyahu, despite rampant conservative beliefs even among the anti-Bibi coalition. After tackling the fermentation and growth of far-right Israeli politics – across the spectrum of Zionists –during the Bibi years, they parse through the fracturing of the Joint List alliance of the four Arab-majority parties and the role liberal Zionists played in the issue, as well as assessing the state of the labor and left parties in Israel. Jumping further back, they tackle the lasting reactionary impulses in the wake of the Second Intifada and the bolstered Islamophobia of the aughts and how it set the stage for Bibi's right to rise, and wrap up by exploring the central role of the Israeli judiciary in the current political moment. And in the Fun Half: Sam and Emma discuss the Democratic funding of Don Bolduc, Matt Walsh appears on Joe Rogan to show off his expertise (it is neither in queer psychology nor counting), and JR Majewski challenges Tim Ryan and Nancy Pelosi. James from Fort Worth discusses the employment of teachers ON election day, Sam from Youngstown grapples with his pessimism regarding tonight, Hunter from Atlanta discusses felon disenfranchisement, and Mike and Daniel from NY and Austin expand on midterm discussions, plus, your calls and IMs!   Check out Amjad's work at 972 here: https://www.972mag.com/writer/amjad/ Become a member at JoinTheMajorityReport.com: https://fans.fm/majority/join Subscribe to the ESVN YouTube channel here: https://www.youtube.com/esvnshow Subscribe to the AMQuickie newsletter here: https://am-quickie.ghost.io/ Join the Majority Report Discord! http://majoritydiscord.com/ Get all your MR merch at our store: https://shop.majorityreportradio.com/ Get the free Majority Report App!: http://majority.fm/app Check out today's sponsors: Sunset Lake CBD: sunsetlakecbd is a majority employee owned farm in Vermont, producing 100% pesticide free CBD products. Sunset Lake is having a ONE DAY ELECTION DAY SALE on Tuesday November 8. All CBD products will be 30% off with coupon “ELECTION”. 10% of proceeds from coupon code “ELECTION” will go to the Planned Parenthood Federation of America. The Majority Report will MATCH the 10% of proceeds and also donate to PP. Go to https://sunsetlakecbd.com/ for more information! LiquidIV: Cooler weather makes it easier to miss signs of dehydration like overheating or perspiration, which means it's even more important to keep your body properly hydrated. Liquid I.V. contains 5 essential vitamins—more Vitamin C than an orange and as much potassium as a banana. Healthier than sugary sports drinks, there are no artificial flavors or preservatives and less sugar than an apple. Grab your favorite Liquid I.V. flavors nationwide at Walmart or you can get 25% off when you go to https://www.liquid-iv.com/ and use code MAJORITYREP at checkout. That's 25% off ANYTHING you order when you get better hydration today using promo code MAJORITYREP at https://www.liquid-iv.com/. ZipRecruiter: Some things in life we like to pick out for ourselves - so we know we've got the one that's best for us - like cuts of steak or mattresses. What if you could do the same for hiring - choose your ideal candidate before they even apply? That's where ZipRecruiter's ‘Invite to Apply' comes in - it gives YOU, as the hiring manager, the power to pick your favorites from top candidates. According to ZipRecruiter Internal Data, jobs where employers use ZipRecruiter's ‘Invite to Apply' get on average two and a half times more candidates — which helps make for a faster hiring process. See for yourself! Just go to this exclusive web address, https://www.ziprecruiter.com/majority to try ZipRecruiter for free! Cozy Earth: One out of three Americans report being sleep deprived, and their sheets could be the problem. Luckily Cozy Earth provides the SOFTEST, MOST LUXURIOUS and BEST-TEMPERATURE REGULATING sheets. Cozy Earth has been featured on Oprah's Most Favorite Things List Four Years in a Row! Made from super soft viscose from bamboo, Cozy Earth Sheets breathe so you sleep at the perfect temperature all year round.  And for a limited time, SAVE 35% on Cozy Earth Bedding. Go to https://cozyearth.com/and enter my special promo code MAJORITY at checkout to SAVE 35% now. Follow the Majority Report crew on Twitter: @SamSeder @EmmaVigeland @MattBinder @MattLech @BF1nn @BradKAlsop Check out Matt's show, Left Reckoning, on Youtube, and subscribe on Patreon! https://www.patreon.com/leftreckoning Subscribe to Discourse Blog, a newsletter and website for progressive essays and related fun partly run by AM Quickie writer Jack Crosbie. https://discourseblog.com/ Check out Ava Raiza's music here! https://avaraiza.bandcamp.com/ The Majority Report with Sam Seder - https://majorityreportradio.com/

Sam and Emma host freelance journalist Chris Pomorski to discuss his recent piece in The New Republic "When Innocence Isn't Enough." Then they are joined by Amjad Iraqi, editor at 972 Magazine, to discuss the recent violence in the Gaza Strip. Emma and Sam begin by covering updates on the DOJ search warrant for Mar-a-Lago, the continuing emergency in Jackson, the success of South Carolina's abortion ban and the fall of Arkansas' trans healthcare ban, before tackling the continued Fox & Frenemies infighting between Doocy and Kilmeade. Chris Pomorski then dives into the story of Christopher Dunn's wrongful imprisonment, beginning in St. Louis, 1990 when an 18-year-old Christopher Dunn was charged and convicted for the murder of a 14-year-old boy based solely on the eyewitness testimony of two other children that would later recant, citing pressure and intimidation from the police. After tackling the failures of Dunn's public defender (largely grounded in racism), Pomorski then dives into what happened in the wake of Dunn's innocence becoming clear, why the judge determining his case believe him to be wrongfully convicted, and how Missouri law prohibits overturning convictions that aren't death sentences. Wrapping up, they look at where Dunn can go from here, as Missouri executive representatives (Governor and AG) refused to step in while the legislature passed a law putting his future exclusively in the hands of the prosecutors that incarcerated him in the first place. Then, Amjad Iraqi parses through the lasting effects of last May's Palestinian uprising in the face of heightened Israeli violence and oppression, first walking through the two core struggles that arose during Ramadan as Israeli police assaulted worshipers in Jerusalem and at key religious locations like Damascus Gate and Al-Aqsa mosque, and Israeli and American Jewish settlers began forcibly removing Palestinians and their belongings from their houses as part of their genocidal gentrification project. Next, Amjad, Emma, and Sam, discuss the solidarity among Palestinians that this inspired, how it bolsters a growing nascent collective consciousness among Palestinian youth, and where Palestinian organizing might go from here. Wrapping up, they also cover the evolution of Israel's genocidal project, from periods of more front-facing violence to attempts to obscure the blood they shed, with the latter coming back to the fore as Israel attempts to force NGOs and journalists out of Gaza. And in the Fun Half: Sam and Emma tease a surprise for this Friday, before diving deep into Jordan Peterson's ridiculous, violent, and obviously hypocritical reasoning behind his recent “controversial” tweets, the shameless man he is, also walking through the effects of this stochastic rhetoric from the likes of him, Matt Walsh, and Libs of TikTok, as Boston Children's Hospital was forced to clear out in the wake of bomb threats over its trans-inclusive care. They also cover Rob Schneider's World War II allegory to express his willingness to be canceled, plus, your calls and IMs! Check out Chris's piece here: https://newrepublic.com/article/166767/christopher-dunn-missouri-murder-innocent Check out Amjad's work at 972 Magazine here: https://www.972mag.com/writer/amjad/ Become a member at JoinTheMajorityReport.com: https://fans.fm/majority/join Subscribe to the AMQuickie newsletter here: https://am-quickie.ghost.io/ Join the Majority Report Discord! http://majoritydiscord.com/ Get all your MR merch at our store: https://shop.majorityreportradio.com/ Get the free Majority Report App!: http://majority.fm/app Check out today's sponsors: Established Titles: Thanks to Established Titles for sponsoring today's video. They are now running a Labor Day Sale! Go to https://establishedtitles.com/MAJORITY to get an additional 10% off on any purchase with code MAJORITY Aura: Protect yourself from America's fastest-growing crime. Try Aura for 14 days for free: https://aura.com/majority Follow the Majority Report crew on Twitter: @SamSeder @EmmaVigeland @MattBinder @MattLech @BF1nn @BradKAlsop Check out Matt's show, Left Reckoning, on Youtube, and subscribe on Patreon! https://www.patreon.com/leftreckoning Subscribe to Discourse Blog, a newsletter and website for progressive essays and related fun partly run by AM Quickie writer Jack Crosbie. https://discourseblog.com/ Get your last round of free COVID tests here: https://www.covid.gov/tests The Majority Report with Sam Seder - https://majorityreportradio.com/