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Christine Short and Steve Dickens preview Box (BOX) earnings. Steve is watching for where Box fits into the “agentic workflow” and how it integrates an AI LLM. Christine notes a big drop in paying subscribers from its competitor Dropbox (DBX), which could be an individual problem or a sector-wide trend.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about
1週間の気になる生成AI技術・研究をいくつかピックアップして解説する連載「生成AIウィークリー」から、特に興味深いAI技術や研究にスポットライトを当てる生成AIクローズアップ。今回は、AIモデルに「逆転裁判」をプレイさせて推論能力を調査した内容を取り上げます。
I'm thrilled to have Dr. Bushra Anjum, join us for today's episode! She is the head of Data Science and AI/LLM subject matter expert at the EdTech startup NoRedInk. With a passion for innovation in adaptive online curriculum tools, Dr. Anjum leads a talented team dedicated to enhancing students' writing and critical thinking skills.Join us as we dive into her impressive journey and explore her pivotal role as Co-chair of the Association for Computing Machinery's Women in Computing Council (ACM-W). Dr. Anjum will share insights on ACM-W's mission to increase representation and inclusion in STEM, the importance of mentorship for women in tech, and her key priorities in advancing initiatives for women in computing.We'll also discuss practical steps for students and early-career professionals looking to break into the tech industry, and how aspiring members can get involved with ACM-W. Plus, we'll learn about the practices Dr. Anjum has implemented to promote equity in the hiring process for her Data Department.Don't miss this inspiring conversation filled with valuable advice and actionable insights for anyone interested in the tech field!✉️ Connect with Dr. Anjum on LinkedIn: https://www.linkedin.com/in/bushraanjum/
Sebuah sesi untuk menguji apakah AI LLM dapat disuruh memecahkan hasil dari MD5 hash? Ternyata kalau katanya gampang, misal dalam kasus ini adalah "admin", maka ChatGPT dapat menemukannya. Yang lainnya tidak bisa.
Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: In the spirit of Valentine's Day, what is the future of bionic hearts? Would this be a way to make humans more efficient? - How would you think about a world in which all of the work is done by robots and AI? - Architects using computerized/AI tools will result in less demand for architects overall, thus less people getting to do architecture. - Do you think the current methods of training and using AI/LLM are here to stay for a while, or is there a real possibility of an alternative machine learning approach appearing and being superior and more efficient? - What would you think about spiking neural nets with a new non-differentiable learning algorithm? Is it the path to smarter AI? - I read from an expert that correcting the errors in a later prompt results in more errors. It's better to go back to the original prompt. - Do you or your team actively work on the alignment issues with AI and are you worried about the next 10 years with regard to that? - Do you see a danger in the trend toward anthropomorphic AI and providing AI systems with human-like attributes? - I wonder what will happen when future AI models are trained on material that shows them the actual results of their past actions. - What are some near- and medium-term breakthroughs that could potentially make the creator a trillionaire? Off the top of my head, fusion power, far more efficient batteries or novel propulsion systems.
W tym odcinku dzielę się swoimi doświadczeniami z ostatnich 10 miesięcy pracy w Developer Relations. Opowiadam, czym jest DevRel, kto go potrzebuje i na czym polega ta rola.Przyglądam się również temu, jak rynek DevRel zmienia się pod wpływem AI / LLM.Jeśli interesujesz się budowaniem społeczności programistycznych lub tworzeniem narzędzi dla programistów, ten odcinek jest dla Ciebie!
Chief Data and Analytics Officer at FNB Risk, trailblazer in AI and data science & Author of ‘African Artificial Intelligence’, Dr Mark Nasila on what to make of the newly launched AI LLM, DeepSeek-R1, how much of a disruption this AI model has had in the industry and on why so many tech giants have responded with shock.See omnystudio.com/listener for privacy information.
This is a free preview of a paid episode. To hear more, visit www.insurgentspod.comKylie Robison of The Verge joins us to talk about DeepSeek, the new AI LLM that, its developers claim, was built for just a fraction of the cost compared to its US-based competitors. We analyze those claims, talk about the competing interests trying to “win” the AI race, examine the harm and risks associated with rapid and unchecked AI development and, …
実際にインターンシップを経験した2名の内定者の登場です。学業との両立、実際の業務内容やインターン中にびっくりしたことなど赤裸々にお話しします。 興味持っていただいた方は、こちらもぜひご覧ください。 AI・LLM事業部のインターン・新卒について話しますかー AI・LLM事業部のLLMプロダクト「Ai Workforce」についてお話しましょう！ 【AI・LLM】AIワークフローエンジニア（実務インターン） ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
Ken and Seth return for 2025 to review the accuracy of their predictions from 2024 and make a few new ones for this new year. Some hits and misses for last year, but overall the generic predictions for both AI/LLM growth and software supply chain security were accurate. However, they were wrong in their assumptions around LLM creation and training. For 2025, predictions on AI billing models, software supply chain attacks, OWASP Top 10 2025, and more.
Join Jon Myer and special guest Michael Levan for exclusive coverage from AWS re:Invent 2024 in Las Vegas. Get insider tips for navigating the conference, learn about exciting upcoming workshops, and hear their special announcement about a new builder-focused conference launching in 2024. Michael shares his first-time re:Invent experience and discusses his upcoming AI/LLM workshop with Kodiak. Key Takeaways: 1. First live coverage from AWS re:Invent 2024 at the Las Vegas Experience 2. Michael Levan announces his AI/LLM workshop focusing on practical implementation 3. Special announcement of Builder Con (BLDR Con) - a new engineering-focused conference launching in Tampa (Spring 2024) 4. Important re:Invent tips for attendees (registration locations, badge pickup, chapstick for dry air) 5. Discussion of key technical topics: GPUs on Kubernetes, LLMs, and new AWS features Timeline: 0:00 - Introduction and welcome to AWS re:Invent 0:28 - Michael's first re:Invent experience 1:14 - Discussion of conference size and scale 2:23 - Technical session recommendations 3:51 - Community aspects of re:Invent 4:58 - Overview of conference schedule and events 5:38 - Partner announcements and recordings 6:43 - Value of face-to-face interactions at conferences 8:16 - Details about Michael's AI/LLM workshop 10:44 - Kodiak partnership highlight 11:50 - Discussion about unscripted conversation format 13:51 - Special announcement: Builder Con conference 16:19 - Introduction of the Builder Network concept 17:47 - Vision for the new conference format 19:57 - Closing remarks and wrap-up The new Builder Con conference will focus on practical engineering content without sponsored talks, emphasizing hands-on learning and technical depth over marketing presentations.
Join Jon Myer and special guest Michael Levan for exclusive coverage from AWS re:Invent 2024 in Las Vegas. Get insider tips for navigating the conference, learn about exciting upcoming workshops, and hear their special announcement about a new builder-focused conference launching in 2024. Michael shares his first-time re:Invent experience and discusses his upcoming AI/LLM workshop with Kodiak. Key Takeaways: 1. First live coverage from AWS re:Invent 2024 at the Las Vegas Experience 2. Michael Levan announces his AI/LLM workshop focusing on practical implementation 3. Special announcement of Builder Con (BLDR Con) - a new engineering-focused conference launching in Tampa (Spring 2024) 4. Important re:Invent tips for attendees (registration locations, badge pickup, chapstick for dry air) 5. Discussion of key technical topics: GPUs on Kubernetes, LLMs, and new AWS features Timeline: 0:00 - Introduction and welcome to AWS re:Invent 0:28 - Michael's first re:Invent experience 1:14 - Discussion of conference size and scale 2:23 - Technical session recommendations 3:51 - Community aspects of re:Invent 4:58 - Overview of conference schedule and events 5:38 - Partner announcements and recordings 6:43 - Value of face-to-face interactions at conferences 8:16 - Details about Michael's AI/LLM workshop 10:44 - Kodiak partnership highlight 11:50 - Discussion about unscripted conversation format 13:51 - Special announcement: Builder Con conference 16:19 - Introduction of the Builder Network concept 17:47 - Vision for the new conference format 19:57 - Closing remarks and wrap-up The new Builder Con conference will focus on practical engineering content without sponsored talks, emphasizing hands-on learning and technical depth over marketing presentations.
In this milestone 200th episode, Sam Kamani interviews August from Paxful, a decade-old platform that's empowering over 14 million users through peer-to-peer payments. They discuss how Paxful is solving financial inclusion, enabling trust with escrow services, and offering 500+ on-ramping methods globally. August also shares his views on market trends, the rise of Solana, and what the future holds for peer-to-peer crypto ecosystems. Key Timestamps [00:00:00] Introduction: Sam introduces August from Paxful, a pioneer in peer-to-peer payments. [00:01:00] August's Journey: From traditional finance to crypto, MakerDAO, and joining Paxful's leadership team. [00:05:00] What is Paxful?: Enabling trust-based peer-to-peer payments with escrow for financial inclusion. [00:08:00] How Paxful Works: Combining 500+ payment methods with escrow to facilitate seamless transactions. [00:13:00] User Stats: Over 14 million unique signups and 1M+ active funded accounts globally. [00:15:00] Growth Strategies: SEO, referral programs, and grassroots outreach to expand Paxful's reach. [00:18:00] Future Vision: Building Paxful into the “Swiss army knife” for global crypto and financial services. [00:24:00] Trends in Crypto: The rise of USDT, Bitcoin dominance, and Solana's vibrant ecosystem. [00:30:00] Challenges Ahead: Regulation and adopting AI/LLM technologies to enhance user experience. [00:36:00] What's Next?: Paxful's roadmap to expand its product suite and enter new markets. Connect https://paxful.com/ https://www.linkedin.com/company/paxful-inc https://www.linkedin.com/in/augustwidmer/ https://twitter.com/paxful https://x.com/AugForceOne Disclaimer Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/
現在AI・LLM事業部では、Ai Workforceという生成AIプラットフォームを通じて幅広いユースケースに生成AIアプリケーションを提供しており、そのデリバリーを担うのがPjM組織です。コンサルタントやエンジニア・データアナリストなど様々なキャリアを経て集まったメンバーがどのように活躍しているのが、チームのリアルをお聴きください。 ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
Do you know what must attend online automation conference is now open for registrations? What is Observability 2.0 Can AI and LLMs to generate quality Playwright end-to-end scripts Find out in this episode of the Test Guild New Shows for the week of Dec1, So, grab your favorite cup of coffee or tea, and let's do this. Time Title link 0:30 AutomationGuild 25 Registration https://testguild.me/guild25 1:20 Observability 2.0 https://testguild.me/lilp28 2:34 Playwright API Postman https://testguild.me/q8hkxt 3:43 AIRIA Snapshots https://testguild.me/3cr2f7 4:36 TestZesus https://testguild.me/knd8ez 6:05 AI LLM for Playwright scripts https://testguild.me/nlpaic 7:31 Tricentis 1.33 Billion https://testguild.me/nntjy2 8:33 AltTester Unity Automation https://testguild.me/y8l73n
It's not a reach to say that we're currently in a time of uncertainty, across technology, economic and political spectrums. But historically, times of uncertainty have often led to unexpected creativity. SHOW: 873SHOW TRANSCRIPT: The Cloudcast #873 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTES:STUFF THAT FEELS UNCERTAIN OR FRAGMENTED RIGHT NOWTransition of US political parties (regulation, leadership, reaction to the unknown, friend or foe of Silicon Valley)Stock market is somewhat bullish, but credit markets aren't alignedSocial media seems more fragmented (good & bad), so what does this do to information flows, learning, discussions, etc.Speculation is that AI LLM models are starting to plateauCloud providers aren't really talking about anything but AIVCs seem to be excited about the potential of acquisitions again, but who?Netflix can't seem to figure out streaming live TV, at least at scale - but Amazon can?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Cutting-Edge AI and Semiconductor Innovations: Canada & US Tech Collaborations In today's episode of Hashtag Trending, host Jim Love discusses pivotal updates in the tech world. Key stories include a major collaboration between Anthropic, Palantir, and Amazon Web Services to deliver advanced AI solutions to US intelligence agencies, and AMD unveiling its open-source AI model, OLMo. Additionally, VentureLab's exciting partnership with Hudson Valley Fast Fab Inc. aims to bolster Canada's semiconductor industry. The episode also features an insightful interview with Hugh Chow, CEO of VentureLab, about Canada's robust semiconductor legacy and efforts to enhance high-tech manufacturing. 00:00 Introduction and Remembrance Day Tribute 00:19 Defense AI Collaboration: Anthropic, Palantir, and AWS 01:59 AMD's Open Source AI Model: OLMo 03:36 VentureLab's Semiconductor Industry Advancements 06:28 Conclusion and Upcoming Segment: Afterwards 06:49 Extended Interview with Hugh Chow
Large Language Models (LLM's) can provide an excellent starting point for roleplaying, scene creation and immersive experiences with your partner. I'll explain in a very simple way how to install and access uncensored LLM's and provide several example prompt structures and ideas to create your scenes and maximise intensity. Tags: Ds, AI, LLM, Large Language Model Find the Episode Notes at the Website (https://thewordsmithspeaks.com) in the Resources Folder. Additional FREE Scripts, Classes, Templates, Printables, PDF's and full podcast episodes as audio downloads. Definitely check it out.
進化し続けるAI・LLM事業部のエンジニア組織について、日々どういう課題に向き合い、どんな開発をしているのかshinofumijp・yudetamago・osukeの3人で話しました。 ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
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Send us a textPRE-IPO STOCK FUNDS CLOSING TO NEW INVESTORS ON SEP 13 (NEXT FRIDAY)AG Dillon has seven (7) pre-IPO stock funds closing on Friday, Sep 13. Next Friday. See fund list at www.agdillon.com/product (page 3). Available for purchase at Schwab, Fidelity, or directly at AG Dillon. Email aaron.dillon@agdillon.com to investSubscribe to AG Dillon Pre-IPO Stock Research at agdillon.com/subscribe;- Wednesday = secondary market valuations, revenue multiples, performance, index fact sheets- Saturdays = pre-IPO news and insights, webinar replays00:07 | Safe Superintelligence Raises $1B for new AI LLM- AI venture focused on creating safe AI models- Co-founded by Ilya Sutskever, Daniel Gross, and Daniel Levy- Raised $1B in May 2024 from investors like Andreessen Horowitz and Sequoia Capital- Offices in Palo Alto and Tel Aviv- For-profit entity addressing AI safety00:43 | OpenAI Hits 200M Weekly Active Users for ChatGPT- AI large language model business- ChatGPT now has 200M weekly active users, doubling since Nov 2023- 1M paid corporate users, up from 600K in April 2024- Expected to generate $2B annually from $20/month premium subscriptions- 50% of corporate users are in the U.S.; strong presence in Germany, Japan, U.K.- Secondary market valuation: $103.8B (+20.7% vs Apr 2024 round)01:33 | Salesforce Acquires Own Company for $1.9B- Data management firm specializing in data backup and recovery- Acquired by Salesforce for $1.9B in cash- Previously valued at $3.35B in Aug 2021- 7,000 customers; raised $507.3M from Tiger Global and Salesforce Ventures- Global data backup market valued at $12.9B in 2023, growing at a 10.9% CAGR02:14 | ByteDance Raises $600M for Dongchedi, Valued at $3B- Chinese parent company of TikTok- Raising $600M for car trading platform Dongchedi- Dongchedi boasts 35.7M monthly active users- Competing with platforms like Autohome and Bitauto- Secondary market valuation: $300B (+11.8% vs Dec 2023 round)03:00 | Anthropic's Claude AI Powers New Amazon Alexa- Amazon to release new Alexa powered by Anthropic's Claude AI in October- Paid version to cost $5-$10/month; current version remains free- Estimated $600M in annual sales if 10% of Alexa's 100M users opt for the paid version- Anthropic has a $23.6B secondary market valuation (+31.4% vs Jan 2024 round)03:49 | xAI's Colossus System Becomes Most Powerful AI Trainer- AI large language model business by Elon Musk- Colossus built with 100,000 Nvidia H100 GPUs in 122 days, doubling to 200,000 GPUs- Phase 1 cost estimated at $2B, located in Memphis- Colossus will consume 150 megawatts of power and 1M gallons of water daily for cooling- Secondary market valuation: $26.1B (+8.9% vs May 2024 round)04:45 | X Launches Beta Version of TV App for Fire TV and Google TV- Formerly Twitter, now focusing on becoming a "video-first" platform- Launched beta version of TV app for Amazon Fire TV and Google TV- Initial feedback suggests bugs, but fixes are anticipated soon- Aimed at reviving ad revenue and attracting video creators05:26 | Fidelity Cuts X Holdings Valuation by Another 4%- Fidelity reduced X Holdings (formerly Twitter) valuation by 4% in July- Total decrease of 72% since Elon Musk's acquisition in Oct 2022- New valuation implies X shares are worth $15, down from Musk's original $54.20/share- X's total value now approximately $21B06:03 | Pre-IPO Stock Market Weekly Performance06:48 | Pre-IPO Stock Vintage Index Weekly Performance
Today Jason is joined by Spectral's Co-Founder & CEO, Sishir Varghese to discuss the Onchain Agent Economy and the future of machine intelligence networks aiding autonomous onchain agents . In this episode they discuss: AI/LLM integration abstractions Revenue-generating agents Competitive market dynamics: The Agent App Store Agent transparency A live Spectral demo! Agent-to-agent communication And much more! Episode article links: https://vitalik.eth.limo/general/2024/01/30/cryptoai.html https://goodalexander.com/posts/agenticprotocols/ https://www.spectrallabs.xyz/whitepaper Host: Jason Choi @mrjasonchoi . Not financial advice. -- Tangent is a private holdings company managing personal assets and is not a licensed investment advisor nor does it manage or accept any external capital. Nothing discussed is a solicitation for investment and is for entertainment purposes only. -- Timestamps: (00:00) Introduction (05:17) On-chain agents (11:01) AI/LLM integration abstractions (14:28) Vitalik's take on AI x Crypto (17:58) Spectral's infra-chain (20:49) Revenue-generating agents (23:21) Competitive market dynamics: agent App Store (26:28) Agent verification (29:09) Agent transparency (32:36) Spectral Demo (37:42) Agent moats (40:04) Security parameters (41:46) Agents/protocols (43:36) Agent-to-agent communication (45:30) Outro -- Partner message: Aptos is the next-generation Layer 1 blockchain designed to enhance scalability, security, and reliability for decentralized applications. With industry-leading performance, internet-grade UX, 100X lower gas fees than comparable chains, and a thriving ecosystem - Aptos is the platform of choice for both builders and users. Find out more at https://aptosfoundation.org/ -- Twitter accounts: Jason Choi's Twitter: https://twitter.com/mrjasonchoi Sishir Varghese's Twitter: https://x.com/__sishir Spectral's Twitter: https://x.com/Spectral_Labs Spectral's website: https://www.spectrallabs.xyz/ Blockcrunch Twitter: https://twitter.com/theBlockcrunch -- Blockcrunch VIP: https://blockcrunch.substack.com/ -- Disclaimer: The Blockcrunch Podcast (“Blockcrunch”) is an educational resource intended for informational purposes only. Blockcrunch produces a weekly podcast and newsletter that routinely covers projects in Web 3 and may discuss assets that the host or its guests have financial exposure to. Views held by Blockcrunch's guests are their own. None of Blockcrunch, its registered entity or any of its affiliated personnel are licensed to provide any type of financial advice, and nothing on Blockcrunch's podcast, newsletter, website and social media should be construed as financial advice. Blockcrunch also receives compensation from its sponsor; sponsorship messages do not constitute financial advice or endorsement. Full disclaimer: https://blockcrunch.substack.com/about
Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Continuing the dinosaur theme, is it possible biology can repeat patterns of evolution? Is it possible for dinosaur-like creatures to reappear? - Why is it as technology advances, it goes through phases of bigger to smaller to bigger? I've seen this with phones, computers, TVs, cars, etc. What does this say for the future of technology? - What would be the future of the personal computing paradigm? Would we see more remote cloud-like computing and storage in the future, essentially making personal computing devices obsolete? - The current AI/LLM models aren't good at the mathematical and statistical computational methods. What areas do you think should be focused on in computer science and mathematics to teach these models to be better at computation and assist researchers and scientists? - What do you think of the amount of data that gets processed or code that is run in terms of bytes vs. bytes that are used for storage in the world? - What exactly is 5G? How is it different from 4G or 3G? - Nowadays, instead of getting higher resolution, we can get higher color range and frame rate. - If AI is being used for autonomous vehicles, then presumably technology could improve to the level where vehicles could "see around corners" by different vehicles communicating with each other, buildings, etc.–so the video stream is from multiple perspectives? - Taking the concept further, could vehicles on a motorway and those joining seamlessly interweave at high speeds safely and traffic be diverted automatically in real time to ensure that there are no blockages etc.? - Turns out that as computer displays get better, our sensor limitations turn out to be higher than we used to think. - I recall reading something saying that 5G and low-latency connectivity would be important for self-driving cars. That seems somewhat unlikely to be an important component of self-driving now. - What's the future of fiber optics? - In the future, will cell towers be more advanced to prevent dead zones?
This week we have a yarn with Crikey's Cam Wilson [X/Twitter] about the Wieambilla inquest, AI/LLM, (Australian) media, and navigating the treacherous waters off the coast of #FreezePeach.
Ask a good question, get a trustworthy answer! That's the promise of the latest tech in the AI/LLM space. Using "anchors of truth" via embeddings, combined with clear citations for the answers provided, this platform is revolutionizing the entire Decision Support industry. Check out this special episode of DM Radio to learn about the long-sought fusion of unstructured and structured data for Analytics. Host @eric_kavanagh will be joined by Athena Solutions CEO Alex Kangoun, and Field CTO Ryan Welsh of Qlik. They'll each deliver 10-min presentations on the subject, followed by our weekly radio show.
This week our guest is neuroscientist Dr. Cody Rall. Rony's working his super-secret day job (an AI startup). Top of the news is OpenAI's Search GPT, which is now a close beta (you can sign up); AI start-up Cohere valued at $5.5 B in their latest round. There are more than 20 AI unicorns - startups valued at more than $1B. Elon Musk has a supercomputer cluster in Memphis, and no idea (yet) where the power is coming from. Meta is in the news (constantly). This week their biggie is the release of powerful open source Llama 3.1 AI LLM. Both Reality Labs and Magic Leap saw layoffs. Dr. Rall joins us to talk about psychiatric treatments with BCI, and other methods for healing, and even augment, the brain. Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @ThisWeekInXR!https://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.
In this episode, I fly solo to discuss Google Vids. Google Vids is an addition to Google Workspace via Google Labs. It is a tool that allows users to create videos effortlessly through the use of Google's AI LLM, Google Gemini. I go through how to create a video, the editing process, and ideas for educators to implement this as a time saver. If you'd like to see it in action, click on the YouTube video below for a video tutorial. If your organization doesn't have Google Labs turned on, you might want to talk to your district Google Admin to see about getting this AI video creator turned on. Buen provecho! Google Vids Tutorial On YouTube: https://www.youtube.com/watch?v=aGkZZ3cR0eg Connect With Gabriel Carrillo EdTech Bites Website: https://edtechbites.com EdTech Bites Twitter: https://twitter.com/edtechbites EdTech Bites Instagram: https://instagram.com/edtechbites EdTech Bites Threads: https://www.threads.net/@edtechbites EdTech Bites Facebook Page: https://facebook.com/edtechbites EdTech Bites YouTube Channel: https://www.youtube.com/@edtechbites My Book Is Officially Out! My first book “Cooking Up Experiences In The Classroom: Focus On Experiences, Not Just Lessons” is officially out! A HUGE shout out to Lumio for helping sponsor this book. I'm super excited about this project. It's filled with ideas on how to make memorable experiences for your students. In addition, each chapter also lays out a specific recipe mentioned in that chapter along with a video tutorial on how to prepare that dish. Make sure you get your copy and cook up some experiences for your students and loved ones! Click Here To Purchase Your Copy On Amazon
Send us a Text Message.Weekly pre-IPO reports…- Valuations, revenue multiples, performance = www.agdillon.com/reports- Market update pdf = www.agdillon.com/update- Index fact sheet = www.agdillon.com/index00:07 | Stripe's $70b valuation- Online payments company- Sequoia inter-fund transaction- $27.51/share at $70b valuation, +7.7% vs its last round- Sequoia LPs get liquidity, realized returns- Emerging tech is staying private for longer- Growth companies are private not public, time to allocate to pre-IPO stocks01:41 | Revolut $40b valuation- UK online bank- Tiger Global to lead $40b round- $2.2b 2023 revenue, 2x vs 2022- $574m 2023 pretax profit vs -$33m in 2022- 18.1x revenue multiple- $25b secondary market valuation, +60% overnight return!02:25 | Anthropic, Menlo launch fund- Anthropic is AI large language model biz, Menlo is premier Silicon Valley VC firm- $100m fund to invest into AI startups- Menlo makes investment- Anthropic provides AI LLM credits- Anthropic = $22b secondary market valuation, +20% vs Jan 2024 round03:22 | $267m for Human Interest- 401k focused fintech- 3 minutes to open 401k account- 25,000 small business customers- $100m in ARR- 70% projected 2024 sales growth- IPO planned within two years04:03 | Tekion $4b valuation- Automotive technology business- $200m investment from Dragoneer- Founder is former Tesla CIO, jay Vijayan- 2025 to be 1st profitable year- Other investors = Index Ventures, BMW i Ventures, Advent International04:53 | Starlink approved in South Sudan- SpaceX's satellite internet business- Only 36% of South Sudan citizens connected to internet- SpaceX seeks official distributor in South Sudan- $210b valuation based on current tender offer in process05:44 | OpenAI GPT-4o Mini launched- AI large language model business- 4o Mini is 60% cheaper vs 4o proper- 4o Mini is replacing GPT-3.5 Turbo- Businesses like smaller models as they get job done but at lower expense- Lower expense improves ROIs- Watch for big earnings pop and acquisitions from businesses that implement AI07:32 | Pre-IPO Stock Market Weekly Performance- www.agdillon.com/reports for full pdf- Pre-IPO +0.19% for week, +65.28% for last 1yr- Up week: Revolut +8.0%, Chime +5.5%, Deel 4.4%, Ramp +3.4%, SpaceX 3.2%- Down week: Cohere -11.2%, Epic Games -3.2%, Anduril -2.8%, Neuralink -2.4%, eToro -2.3%- Top valuations: ByteDance $290b, SpaceX $205b, OpenAI $106b, Stripe $70b, Databricks $44b08:23 | Pre-IPO Stock Vintage Index Weekly Performance- www.agdillon.com/index for pdf with constituent level performance by year- 2024 Vintage Index top contributors since inception: Rippling +107%, Revolut +68%, Anduril +51%, Klarna +46%, Epic Games +32%- Key metric averages for all Vintage Indexes 5 years old or older…445% cumulative return since inception61% realized, distributed to investors5.45 TVPI; 3.31 DPI, 2.14 RVPI4.1 years to return the fund
The Question of the Week: Is MFA more important on different types of accounts? The Big Stories: Investors put $56B into startups in Q2- 2024, ½ went to start up AI Companies AI Companies are trying smaller Large Language Models to save money We are in an AI Bubble, are we headed for an AI Burst AI Companies are spending billions on training their LLM's When, if ever, will investors see a return on their money?
Do you know the best way to get started with Playwright? What is the best AI/LLM for Testers? Have you seen the mind-boggling Selenium stats? Find out in this episode of the Test Guild New Shows for the week of June 23rd. So, grab your favorite cup of coffee or tea, and let's do this. 0:15 Playwright AI course https://testguild.me/playai 1:11 Playwright Webinar https://testguild.me/kubeweb 2:29 Serenity/JS 3.24.0 https://testguild.me/e19riz 3:11 AI-powered self-healing feature https://testguild.me/1b0pfr 3:43 Browserstack Guild Goodies https://testguild.me/browserstack 3:59 Best AI/LLM fore testers? https://testguild.me/x8wqdd 4:57 Device Farm dashboard https://testguild.me/yzoxh3 5:54 Agentic Process Automation (APA) https://testguild.me/lt8bqx 6:37 Selenium Stats https://testguild.me/p3tnnc 7:57 DevOps for Salesforce https://testguild.me/4cqkwm 8:47 Book Review: JVM Performance https://testguild.me/7zubo7
リリースしたばかりの「Ai Workforce」について、今回はBizメンバーのisseiとhiroshixをゲストにAI・LLM事業部長のnrryuyaと3人で話しました。Biz側から見たAi Workforceの可能性やAi Workforceの強み・特徴について赤裸々に語っています。 ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
今回はLayerXのLLM事業部の小林さんをゲストにお迎えし、PMとしてのキャリア形成に加え、昨今のAI・LLMの発展についてのポイントをお届けします。日本銀行・シンクタンクを経て、なぜSaaS企業に関心を持ったのか。弁護士ドットコムの執行役員に至るまでのキャリア形成について。そしてLayerXでのLLM事業部ではどのような戦略でプロダクト開発を行っているのかなど深掘りの内容が盛りだくさんとなっております。 ハイライト 日銀→シンクタンク→SaaS企業というキャリアの深掘り 日銀時代に感じた、マクロ視点での日本のスタートアップの課題 弁護士ドットコムでの執行役員へのプロモーションの背景 PMM組織・プロダクト開発に携わる上で重要視していたこと LayerXとAI・LLM事業部の関係や期待されていること AI・LLM事業部に力を入れている背景や技術的な革新性をどのように感じられているか 昨今のLLMを取り巻くトレンド、事業部でのホットトピックス 文系出身のAIプロダクトのPMキャリア PMMというキャリアの広がりや可能性 プロフィール 小林 誉幸 LayerX AI・LLM事業部（@yuki_koba8） 東京大学法学部卒業後、日本銀行に入行し、経済調査や政府統計、決済制度の企画立案などに携わる。三菱UFJリサーチ&コンサルティングでの戦略コンサルタントを経て、2020年に弁護士ドットコム入社。クラウドサインを担当する執行役員として事業戦略やプロダクトマーケティングを管掌。 2023年12月にAI・LLM事業の立ち上げメンバーとしてLayerXに入社。
Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // MLOps podcast #241 with Boris Selitser, Co-Founder and CTO/CPO of Okareo. A big thank you to LatticeFlow for sponsoring this episode! LatticeFlow - https://latticeflow.ai/ // Abstract Explore the evolving landscape of building LLM applications, focusing on the critical roles of synthetic data and agent evaluations. Discover how synthetic data enhances model behavior description, prototyping, testing, and fine-tuning, driving robustness in LLM applications. Learn about the latest methods for evaluating complex agent-based systems, including RAG-based evaluations, dialog-level assessments, simulated user interactions, and adversarial models. This talk delves into the specific challenges developers face and the tradeoffs involved in each evaluation approach, providing practical insights for effective AI development. // Bio Boris is the Co-Founder and CTO/CPO at Okareo. Okareo is a full-cycle platform for developers to evaluate and customize AI/LLM applications. Before Okareo, Boris was Director of Product at Meta/Facebook, leading teams building internal platforms and ML products. Examples include a copyright classification system across the Facebook apps and an engagement platform for over 200K developers, 500K+ creators, and 12M+ Oculus users. Boris has a bachelor's in Computer Science from UC Berkeley. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links https://docs.okareo.com/blog/data_loop https://docs.okareo.com/blog/agent_eval The Real E2E RAG Stack // Sam Bean // MLOps Podcast #217 - https://youtu.be/8uZst7pgOw0 RecSys at Spotify // Sanket Gupta // MLOps Podcast #232 - https://youtu.be/byH-ARJA4gk --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Boris on LinkedIn: https://www.linkedin.com/in/selitser/ Timestamps: [00:00] Boris' preferred coffee [00:37] Takeaways [02:32] Please like, share, leave a review, and subscribe to our MLOps channels! [02:48] Software Engineering and Data Science [06:01] AI Transformative Potential Explained [10:31] Prompt Injection Protection Strategies [17:03] Agent's metrics for Jira [24:11] Data and Metrics Evolution [27:54] Evaluation Focus Enhances Systems [31:22 - 32:52] LatticeFlow AD [32:55] Custom Evaluation and Synthetic Data [36:23] Synthetic data for expansion, evaluation, and map [41:06] Diverse agents' personalities for readiness [44:25] Agent functions [46:17] Optimizing Routing Agents [50:04] Adapting to tool output for decision-making [52:56] Agent framework evolution [55:41] Agent framework for delivering value [57:03] Wrap up
先日発表した新プロダクト「Ai Workforce」について、プロダクト開発に携わったメンバーで開発の裏話について話しました。また事業部のこれまでを振り返りながら、チームの今後の可能性についても語っています。 ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
SHEIN to IPO at $64b, pre-IPOs future impact on public market indexes- Online fashion retailer, manufactures cloths in China- $64b IPO valuation- Net income = $2b 2023, $700m 2022, $1.1b 2021 ; Revenue = $45b 2023 ; 1.4x revenue multiple, very low!- Secondary market activity for Shein is very low, high volatility … $80m in bids, $85m in offers (per ApeVue)- MSCI EAFE Index once public? Headquartered in Singapore, manufactures in China, customers in US/Europe (not China)- Great example of how large pre-IPO finally going public impact indexes … Shein would be #71 in MSCI EAFE Index between Anheuser-Busch Inbev and London Stock Exchange Group- S&P 500 is going to look very different in 10 years time; pre-IPOs going public, new companies that haven't even started yet … technology is moving fastCohere new round, how many AI LLM platforms winners?- AI large language model- $5b valuation, +127 vs Jun 2023 round- $35m ARR in Mar 2023, +169% vs prior year- Strategic partnership with Oracle- How many AI “platforms” will there be? 2 like apps; Apple and Android? OpenAI, Microsoft, Google? Apple has a competitive advantage with its access to personal data?- AI application layer is an interesting investment opportunity but not enough companies in the market yet- Future: proprietary data paired with AI models will drive usefulness of AI applications (Apple calls this “context”)OpenAI wins Apple Siri deal, +14% on news- OpenAI +14% to $110b valuation on news, last round at $86b in early Q2- ChatGPT to power Siri- Deal terms not disclosed- Apple to OpenAI data privacy concerns- Quality of use cases/applications will drive users to accept data sharing requests- Most useful applications of AI will not even be notices by users, natural integration
発表したばかりの新プロダクト「Ai Workforce」について、CTOのy_matsuとAI・LLM事業部長 nrryuyaの2人で話しました。 「社会インフラの本業を変える可能性がある」と話す2人。ぜひ本編をお聞きください。また話の内容に興味もっていただいた方は以下のnoteもご覧ください。 LLM・生成AIという巨大トレンドにどう挑むか （LayerX創業以来の経験を踏まえて） 私とLLMと2023: 今後のAI-UXの話 Labsから事業部へ、生成AIによるプロセスのリデザイン ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスをお届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
We chat with Isa Inalcik from BestSecret about his proof of concepts for Trino functions calling AI/LLM systems.More details at https://trino.io/episodes/60
Today Laura and Kevin chat with Frank Kyazze, the the founder and CEO of GRC Knight. We talk about the combination of AI and cybersecurity. We talk about the reauthorization of Section 702 of the FISA bill which expands the NSA's surveillance program. We talk nuke simulators and WW3, new AI laws and their impact, the Ed Sheeran/Marvin Gaye copyright lawsuit, cool new gadgets like Humaine.ai, the digital trust, the AT&T breach and the Roku breach, and Frank's new AI LLM, Francine.ai. Frank Kyazze's career is a blend of innovation, ethics, and humanism in technology. Over the last decade, he become a leader in digital trust, covering cybersecurity, governance, risk management, compliance, privacy, and AI ethics. As the founder and CEO of GRC Knight, Frank champions strategies that protect national security and our society's infrastructure. His work spans traditional sectors to startups and venture capital, advocating for cybersecurity as a growth engine. With certifications like CISSP, CIA, CEH, CIPP/E, CIPM, and ISO Lead Auditor, Frank's expertise is unmatched. Frank is a thought leader who connects technology's tangible aspects with its philosophical roots, offering insightful perspectives on technology, national security, and the digital economy. Frank Kyazze is not just a name in the tech industry; he is a storyteller, a philosopher in the digital age, and an architect of trust in a world that increasingly depends on it. His journey and insights offer a unique blend of depth, pragmatism, and visionary thinking, making him a compelling voice in the ongoing conversation about our digital future.
Alla hatar Tinder. Och ingen gillar vad TikTok gör med oss.Princess Momo Arnesson är serieetreprenören som tror han har lösningen. Och EQT Ventures har hjälpt till med över 40 MSEK i en första såddrunda. Vi pratar om:Hur han och ett gäng tekniker på 12 månader byggt 17 verktyg för ≈20msek och redan har börjat testa intäktsmodeller.Om hur dagens sociala medier gör oss olyckliga (inklusive Princess Momo) men att bolaget Iris ändå inte vill vara en destination.Om hur Forza Football kunde byggas utan riskkapital, men att utmana Meta och TikTok kräver RIKTIGA pengar.Om hur han byggt ett eget AI/LLM och vägrar tro på att framtidens modeller kommer vara centraliserade. Läs mer:Iris.la hemsida.Chatta med Princess Momos AIPrincess Momo UniversityRidley Scotts Macintosh/1984-reklam för ApplePrincess Momos första bygge, Forza FootballOm när Elon Musk tweetade om Princess Momo Dagens Tech görs av Halvt Vargtjut Media AB.Redaktör: Richard Sandenskog
AI transparency and truthfulness… Google’s AI, Gemini… $200B lost in competitive AI LLM market share. Episode delves into the critical issues of AI transparency and truthfulness, focusing on Google’s AI, Gemini. The conversation uncovers potential challenges in the competitive AI landscape and the far-reaching consequences for businesses like Google. Here are the key takeaways: Alex […]
Madrona Partner Jon Turow hosts Gabriel Hubert and Stan Polu, the co-founders of a 2023 IA40 winner, Dust, which enables information workers to create LLM-based agents that help them do their own work more efficiently. They discuss the broader AI/LLM ecosystem, the merits and potential of horizontal vs vertical solutions, limitations of AI assistants, and the influence of Stripe on their business. The founders dive into the future use cases and adoption of AI in businesses and also touch on keeping humans in the loop of AI and software development. Transcript: https://www.madrona.com/dust-bets-foundation-models-change-how-companies-work/ (00:00) Introduction and Overview (01:31) The Trade-off Between Vertical and Horizontal (02:48) The Power of Horizontal Approach (08:26) The Influence of Stripe on Dust's Strategy (10:45) The Future of AI and LLM Deployment (18:23) The Role of Dust in Organizations (21:37) The Potential of Dust as a Company OS (28:32) The Future of Work with Dust (33:30) The Success and Challenges of Dust (36:08) The Potential of Dust and AI
Ken and Seth start out with a lengthy discussion about application security jobs, training, and getting into the security space due to an article based on someone's experience moving from IT to pentesting. This is followed by possible needs for the NSA to collect commercially available browsing data. Finally, a quick hit on prompt injection and how things are moving quickly in the AI/LLM space.
今回は新しくAI・LLM事業部に入社したお二人をゲストにお迎えしました。kobayukiさんは前職の電子契約サービスで執行役員として戦略立案や組織マネジメントを経験し、shinofumijpさんはヘルスケアスタートアップでCTOとしてアプリ開発に携わってきました。入社の経緯や入社して取り組みたいことについて、nrryuyaが掘り下げます。 ▼話のハイライト お二人の入社経緯、魅力に思ったポイントは？ AI・LLM事業部に感じた可能性 入社してみて感じたこと 絶賛採用中。こんな人と働きたい！ ▼LayerX Now!とは・・・こんにちは、LayerX NOW!です。LayerXの日常を伝えるPodcast『LayerX NOW!』は事業やチームの話を中心に、"いま知っておくべき"LayerXのホットなトピックスを毎週お届けしていきます。時々社外ゲストの招待があるかも！お楽しみに！ ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
@AaronDelp and @BGracely talk about the biggest stories, trends and events of cloud in 2023, and some predictions for 2024.SHOW: 782CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"SHOW SPONSORS:Datadog Application Monitoring: Modern Application Performance MonitoringGet started monitoring service dependencies to eliminate latency and errors and enhance your users app experience with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.CloudZero – Cloud Cost Visibility and SavingsCloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendFind "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBESHOW NOTES:All the 2023 Year In Review Show Notes2023 Year-End Mailbag2022 Year-End Mailbag2022 Year in Review and PredictionsOur 2021 PredictionsOur 2020 PredictionsTHE BASICS:Our second 2M listens show Thank you to all our sponsors throughout the year (Datadog, CloudZero, Cisco Panoptica, Section, Fix the Internet, Sysdig, DoIT, Eaton, theCUBE, CNCF, Upland Software, Equinix, Red Hat, Cloudfix, GCore, Kosli)2023 PREDICTIONS: Our 2020 PredictionsOur 2021 PredictionsOur 2022 Predictions AARON'S PREDICTIONS:A Hyperscaler that isn't 1 or 2 throws in the towel - We start to see consolidation in the categoryPlatform Engineering hits its Trough of DisillusionmentCompact, OSS, specialized AI models will become the standard for anything not in the cloud (on device, datacenter, edge)A new category emerges - AI Customization for the masses (Data Science as a Service) - intersection of ITOps and AIBRIAN'S PREDICTIONS:We'll see the 1st 500M-user AI serviceAI economics start to change (smaller models, non-GPU chips)40-50 former unicorns ($1B valuations from 2020-22) get acquired Every product adds an AI / LLM capability to simplify usageFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet
We heard back in September about new AI Large Language Model smarts coming to Alexa, an now we have a demo of these new Beta features to share with you! And as best as I can tell, we're the first to discuss and demo these new features.
iMessage на Android. Многие пытались, Beeper смог, правда недолго. Зато красиво. Threads придет в Европу, но медленно. Microsoft даст поддержку за деньги теперь и для обычных смертных. AI буквально везде. Настолько, что Google опять подделали демонстрацию продукта. AMD полноценно включилась в гонку и выступила против Nvidia. И даже Apple выпустила ML framework. В то время как и США, и ЕС готовы все сильнее регулировать AI.
Nixon 的毕业论文研究了37位程序员使用GPT 写代码的状态，我们邀请了懂编程 且 具备一定技术团队管理经验的科技乱炖朱峰、小白来讨论以下问题：GPT 是写代码必不可少的工具了吗？实际使用的状况怎么样？AI 是否会导致程序员以及我们失业？如何正确利用 LLM 工具提升效率？没想到的是，我们发现大家对于程序员的工作有所偏见；也发现了还不能使用AI 替代我们的真相；最重要的是，我们似乎发现了适合每一个人的“AI 时代职业观”。如果你是程序员，欢迎在评论区留言，告诉我们你对于嘉宾观点及大语言模型工具的感受如果你是非程序员听众，欢迎在评论区留言，告诉我们你对于“AI 是否能替代你工作”的想法与实践【时间轴和参考信息】Part1：AI 是不是工作流程必不可少的部分？大家用的怎么样？00:06:13 – 程序员用什么AI 写代码？00:11:34 – 很多程序员写代码的时间都低于20%00:17:35 – 为什么大家不愿意用 AI 写的代码？风格也是问题？00:21:56 – 为什么各家大公司禁用这些工具？00:28:13 – 除了写代码，今天GPT 还能做你的编程助理？00:32:37 – 追根溯源，GPT 是做语言的，不是写代码的。确定性对于程序员有多重要？Part2：AI 是否会导致程序员以及我们失业？00:38:51 – 省下工作时间了吗？为什么说“开会”也帮助大家保住了工作？00:47:10 – 用上GPT的员工为什么更愿意加班，而不是更早下班？公司用GPT是为了干掉你？00:51:22 – 为什么有了机器翻译，翻译从业者反而翻倍？00:52:56 – 重要的职业思维：内卷还是创造？Part3：如何正确利用 LLM 工具提升效率？适合每一个人的“AI 时代职业观”00:57:06 – 只需要15分钟，你就是前20%的人01:01:31 – 搜索引擎我们也不会用01:11:52 – 最重要的是你的业务，而不是AI。不把 AI 当做敌人，帮你省下的脑子也别用来摸鱼【串台节目】脑放电波：一档关注科技前沿、品牌营销和个人成长的谈话类节目。每期带给您一个有趣有据的话题，帮您在信息严重过载的现代世界小幅自我迭代。【本期主播】托马斯白：脑放电波主播，15+年科技行业从业者，前XR创业公司CMO，科技媒体特约作者（微信Alanneo）Nixon：脑放电波主播，XR产品经理、前机器人产品经理、科技媒体记者 （微信hxk2312）朱峰：津津乐道播客网络创始人、科技乱炖主播、产品和技术专家小白：科技乱炖主播、Linux 中国社区成员、AI 产品经理
今回はCTO松本(@y_matsuwitter)とAI・LLM事業部長の中村（@nrryuya)のトーク回です。最近爆誕したAI・LLM事業部について、事業化の背景やこれまでのプライバシーテック事業とのつながりについて話しました。以下のnoteも合わせてご覧ください。 Labsから事業部へ、生成AIによるプロセスのリデザイン｜Matsumoto Yuki LLM・生成AIという巨大トレンドにどう挑むか （LayerX創業以来の経験を踏まえて）｜中村 龍矢 | LayerX 事業部執行役員 AI・LLM事業部長 ▼話のハイライト（AI作成） 01:17 AI・LLM事業部の背景とプライバシーテックとの融合 07:44 市場の波とお客さんの層の変化 12:41 ユースケースの理論上の可能性 15:11 LLMのテクノロジーの特異性とポジショニング 21:09 社内向けアプリケーションと業務プロセス 23:12 LLMが当たり前になった未来 30:50 オープンソースと開発の楽しさ 33:28 チームの特徴と採用について ▼LayerX Now!とは・・・ LayerXの日常を伝えるPodcast。 CTOの松本とHRのmaasaが（ほぼ）交代でホストを務め、社員がLayerXで働く様子を赤裸々にお伝えします ▼ メディア情報 LayerX採用情報：https://jobs.layerx.co.jp/ LayerX エンジニアブログ：https://tech.layerx.co.jp/ LayerX 公式note：https://note.layerx.co.jp/ CEO福島のnote：https://note.com/fukkyy
＜学び収録後記 by 蜂須賀＞ 今回のテーマは「”使う”より”創れ”」。こう聞くとハードルが高く感じる方も多いのが現状ですが、実際はノーコードでも、それこそGPTに聞けば簡単にできる状態です。これはプログラムだけじゃなくて、音声でも、絵でも、動画でも同じ。 この先の少なくとも1年後に取り残されない人は、今どんなことをしているのか具体的にお聞きしました。 Produced by ビジネス映像メディア PIVOT 新時代のマインドセットとスキルセットを高める映像・活字コンテンツを毎日無料で配信しています。令和を代表する起業家、ビジネスパーソン、クリエイターなどのコンテンツを深く早くお届けします。 ▼公式YouTubeチャンネル（https://youtube.com/c/PIVOT公式チャンネル） ▼iOS App URL（http://bit.ly/3s4LTxp） ▼Android App URL（https://bit.ly/3EF7SRG） ▼WEB URL（https://pivotmedia.co.jp/）
Austin spends the majority of his time thinking about ways to abuse LLMs, the impact of the attacks, and the effects on society. He brings a truly unique perspective to the way to use, attack, and verify output from AI LLM models. Whether you are just learning the ins and outs of LLMs or you were an early adopter, this segment is for you! In the security news: do people still use mainframes? IoT and firmware security, Apple Find my, Bluetooth is the gift that keeps on giving, to hackers that is, and more! Visit https://www.securityweekly.com/psw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/psw-806
Austin spends the majority of his time thinking about ways to abuse LLMs, the impact of the attacks, and the effects on society. He brings a truly unique perspective to the way to use, attack, and verify output from AI LLM models. Whether you are just learning the ins and outs of LLMs or you were an early adopter, this segment is for you! Show Notes: https://securityweekly.com/psw-806
Austin spends the majority of his time thinking about ways to abuse LLMs, the impact of the attacks, and the effects on society. He brings a truly unique perspective to the way to use, attack, and verify output from AI LLM models. Whether you are just learning the ins and outs of LLMs or you were an early adopter, this segment is for you! In the security news: do people still use mainframes? IoT and firmware security, Apple Find my-, Bluetooth is the gift that keeps on giving, to hackers that is, and more! Visit https://www.securityweekly.com/psw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/psw-806
Austin spends the majority of his time thinking about ways to abuse LLMs, the impact of the attacks, and the effects on society. He brings a truly unique perspective to the way to use, attack, and verify output from AI LLM models. Whether you are just learning the ins and outs of LLMs or you were an early adopter, this segment is for you! Show Notes: https://securityweekly.com/psw-806
＜学び収録後記 by 蜂須賀＞ 今回は、これまで語られてきていない「メルカリAI/LLM組織の誕生秘話」から始まり、2023年の盛り上がりの中で、何から始めればいいのかをお話しいただきました。 メルカリのAI LLM組織が”なぜ”はじまり、”どのような”メンバーを集め、”なにから”始めたのか。その過程での、AI/LLM開発における「最初の一歩はこれしかない」というポイントも伺いました。 AI/LLMに向き合うエンジニアやCTO、必聴の永久保存版です。 Produced by ビジネス映像メディア PIVOT 新時代のマインドセットとスキルセットを高める映像・活字コンテンツを毎日無料で配信しています。令和を代表する起業家、ビジネスパーソン、クリエイターなどのコンテンツを深く早くお届けします。 ▼公式YouTubeチャンネル（https://youtube.com/c/PIVOT公式チャンネル） ▼iOS App URL（http://bit.ly/3s4LTxp） ▼Android App URL（https://bit.ly/3EF7SRG） ▼WEB URL（https://pivotmedia.co.jp/）
Today, we're excited to get to know Dr. Michael Howell. He's the Chief Clinical Officer at Google where he leads the team of clinical experts providing guidance for Google Health products, research and services. He has dedicated his career to improving the quality, safety and science of how care is delivered and helping people get the best information across their health journey. He previously served as the Chief Quality Officer at the University of Chicago and was an Associate Professor at Harvard Medical School. He's published more than 100 research articles, editorials, and book chapters and is a nationally recognized expert on patient safety and quality. In this episode, we talked about why Google got into healthcare, Google's 3Cs for health, how to create a clinical team within a tech company, the implications of artificial intelligence, and advice for founders in the AI/LLM space.
Connect with Rens Dimmendaal: https://rensdimmendaal.com https://www.linkedin.com/in/rensdimmendaal https://twitter.com/R_Dimm Full episode on YouTube ▶️ https://youtu.be/2VOGakc2qvk New episodes every Wednesday with our host
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: PIBBSS Summer Symposium 2023, published by Nora Ammann on September 2, 2023 on The AI Alignment Forum. Tl;dr We are pleased to invite you to the PIBBSS Summer Symposium where the fellows from the '23 fellowship program present their work. The symposium is taking place online, over several days in the week of September 18th. Check out the full program, including brief descriptions for each talk. (You can toggle between the different days.) Register via this link. You will receive an email with the event link which you can use for the entire symposium. You will be able to drop into as few or as many presentations and breakout sessions as you like. Click here to add the schedule to your google calendar. About PIBBSS PIBBSS is a research initiative aiming to explore parallels between intelligent behavior in natural and artificial systems, and to leverage these insights towards the goal of building safe and aligned AI. During June-August '23, we ran the second iteration of our 3-month research fellowship program. The symposium acts as a venue to share research conducted as part of this program. About the symposium The PIBBSS Summer Symposium is a multi-day event where PIBBSS fellows present their work. The event is taking place on the days of Tuesday - Friday, Sept 19th - 22nd, between 18:00-~21:00 CET / 9:00 - 12:00 PT / 12:00 - 15:00 ET. The event is set it up such that you can easily join whichever talks and breakout sessions you are most interesting in. The program Find a program overview here. Find the full program here, including brief descriptions of each talk. On top of the talks, there will also be opportunities to continue the discussion with fellows at the end of each block in speaker-specific breakout rooms. Talks span a wide range of topics in line with PIBBSS's research mission. Some representative examples of topics include: novel avenues for interpretability naturalistic approaches to understanding the nature and emergence of agency and goal-directed behavior attempts to develop a principled understanding of the dynamics emerging from multi-agent interactions in and across AI/LLM systems analyses of the space of AI risks - from single to multiple agents, from misuse to structural risks, etc. exploration of the potential and limits of existing legal tools for reducing catastrophic risks from AI ..and more! The format The symposium is taking place over the course of four days, in blocks of ~4 fellows. Each fellow presents for a total of 30 minutes, including some time for questions. At the end of each block, there will be speaker-specific break-out rooms to allow for further questions and discussions. Example day: Day 1Starting timeSpeaker 1 18:00 CEST Speaker 2 18:30 CESTSpeaker 3 19:00 CESTSpeaker 4 19:30 CESTBreakout/Discussion Rooms with Speakers 1-4 (parallel) 20:00 CEST 21:00 CEST How to engage Register here to receive a link to the webinar. The same link works for the entire symposium. This allows you to tune in for exactly those talks and breakout sessions you're most interested in! Find the full program here, including brief descriptions of each talk. (You can toggle between the days to discover the full program.) If you cannot make it to a talk, worry not! Most talks will be recorded and can later be viewed at the PIBBSS YouTube Page. Talks (overview) For a full version of the agenda, including talk descriptions, see here. Times below are in CEST. Tuesday, Sep 19th 18:00 - Auto-Intentional Agency and AI Risk - Giles Howdle 18:30 - Allostasis emergence of auto-intentional agency - George Deane 19:00 - TBD - Urte Laukaityte 19:30 - Searching For a Science of Abstraction - Aysja Johnson 20:00 - Breakout sessions with each presenter Wednesday, Sep 20th 18:00 - Agent, behave! Learning and sustaining social norms as normative equilibria - Ninell Oldenbur...
Stories about #metaverse, #AI #LLM #summarization #algorithms #PromptEngineering #licensing #Kaedim #Feather #PinkFloyd #VanessaCarlton and much more!
My new book LOSERTHINK, available now on Amazon https://tinyurl.com/rqmjc2a Find my "extra" content on Locals: https://ScottAdams.Locals.com Content: Politics, RFK Jr., David Weiss, Hunter Diversion Agreement, Jordan Peterson Online University, Lao Tzu, AI LLM, Success Patterns, Norway Targeted Ads, Meta, President Biden, Vivek Ramaswamy, President Trump, Judge Tanya Chutkan, Military Grade Brainwashing, Bill Maher, Whale Killing Windmills, Veteran Suicides, Mind-Reading Lie Detector, Victoria Nuland, Scott Adams ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you would like to enjoy this same content plus bonus content from Scott Adams, including micro-lessons on lots of useful topics to build your talent stack, please see scottadams.locals.com for full access to that secret treasure. --- Support this podcast: https://podcasters.spotify.com/pod/show/scott-adams00/support
Jane Lo, Singapore Correspondent speaks with Miao Song, Global Chief Information Officer, GLP Singapore.Miao Song has over 23 years of global experience in various industries, with broad exposure to the Oil/ Energy/Natural Resources as well as Consumer Goods and Health Care business. Over the course of her past tenure, she received many awards such as the CIO of the Year by IDG, Leadership Excellent, Women Leader, CIO of the Year Silicon Valley, Global CIO 100, and more.In this interview, Miao shares the highlights of her presentation, “The emergence of GenAI technology”, at the World AI Show 2023.She notes that latest AI innovation based on LLM (large language model) is significantly different from previous “traditional” AI or machine learning. In particular, the AI LLM models, enable the generation of new content with cognitive search and text summarisation.Noting how the new capabilities could help drive efficiency or help humans “do jobs better” (for instance, in medical diagnosis), Miao stresses such benefits need to be balanced with concerns. Some of these considerations including the impacts on jobs, the need for regulation, and security risks implications. For companies looking to adopt the latest AI innovation, Miao points out that it is “not a simple matter of having a conversation with ChatGPT and the problem will be solved”. Rather, there is a need to understand the space and the technology (data structure and overall technology architecture), and the business pain points, to “translate the business opportunity into technology adoption”.She elaborates that implementing AI is different from a traditional large IT project that typically runs linearly requiring a team of consultants. Instead, the adoption requires hands-on approach to re-iterate “test and learn” cycles - in other words, education – which requires a secure environment to learn the capabilities and limitations of AI. From her firm's adoption journey, Miao offers a few tips:• the technology team be immersed in the business to build practical use cases. • the need for data architects and engineers to design data structures and identify the data types to be fed into AI • security professionals to implement necessary measures to mitigate potential security breaches and AI specific risks (such as model risks that could lead to fraud)• guidelines for the organisation (for examples, restricted use of confidential company information or personal information to experiment with AI; privacy regulations that are applicable)Wrapping up, Miao offers the view that to remain competitive, companies will have to embrace and adopt the latest AI innovations. She also offers an optimistic view that with generative AI, we can move away from “memorising” knowledge to focus on generating creative ideas.Recorded 2nd August 1.30pm, World AI Show 2023, Singapore Marina Bay Sands.
Deze aflevering spreek we Viresh Narian in de product owner podcast, global head of CRM en aandrijver van AI innovaties bij Grandvision. Grandvision is onderdeel van de groep achter bijna elk brillenmerk dat je kent, van Rayban tot Pearl en van Oakley tot Persol. Maar als je nou binnen zo'n groot bedrijf een initiatief op basis van LLM en generatieve AI van de grond wil krijgen ben je toch super lang bezig. Toch lukte het Viresh en zijn team om al flinke impact te maken in de eerste maanden met een model waardoor medewerkers kunnen chatten met de enorme bak interne documentatie. In deze aflevering gaan we al die termen en afkorting uitleggen, duiken we in de oplossingen waar Viresh al mee aan de slag is en hoe hij het voor elkaar kreeg om hier snel mee te innoveren. In deze aflevering hebben we het over: LLM, Chat-GPT, Bard, product owners, product management en generative AI. Over deze podcast: In de Product Owner podcast spreken we elke week met een interessante gast uit de wereld van digital en gaan we in op echte ervaringen, lessen en tactieken van product owners, ondernemers en specialisten. De Product Owner podcast is een initiatief van productowner.nl.
OnBoard! 一大波更新要来啦！Monica 最近一个月都在硅谷，之前怠慢了一段时间，很快就会补上啦。 这次的节目非常特别，是在ICML 2023 (International Conference on Machine Learning, 国际机器学习大会）的现场录制的。这次的嘉宾，爱丁堡大学博士生符尧，更是众望所归，相信最近关注大语言模型的朋友都不陌生。他的好几篇关于大语言模型能力研究的文章，几乎都是业内必读。 Hello World, who is OnBoard!? 正如符尧在一篇总结文章中所说：“ICML 2023，OpenAI, Anthropic, Google DeepMind, Meta，各大名校的 rising star PhD，顶级 hedge fund 与 VC ，most popular startups 悉数到场，这里是诸神之战的最前线。” 我们就在诸神之战的现场，回顾了ICML与各位大神现场交流的见闻，fuyao对于数据、RLHF等大模型核心研究领域的思考，还有对震动行业的、刚刚发布的LlaMA-2的看法。 这次在室外录制，嘉宾还在生病，不免有些杂音。但是我想这对于关注干货的听众来说，都不是问题。相信你也会受益匪浅。Enjoy! *本期涉及比较多的术语，需要你对大模型（LLM）有基础的技术了解。 嘉宾介绍 符尧，爱丁堡大学的博士生，研究大语言模型的推理能力。符尧在北京大学完成了本科学位，在哥伦比亚大学完成了硕士学位，曾在MIT-IBM AI 实验室，Allen Institute for AI (AI2) 等担任实习研究员。他的工作主题包括了大语言模型演化，复杂推理，涌现能力，以及如何从第一性原理构造模型。他以《拆解追溯 GPT-3.5 各项能力的起源》为代表的文章系列详细阐述了语言模型的能力机制，在中文和全球互联网上都产生了重大的影响力。 我们都聊了什么 02:05 凡尔赛开场 & 嘉宾符尧的介绍 04:33 认识ICML，参加诸神之战的盛会是什么体验；付尧入选的论文如何探讨模型能力的遗忘 08:09 过去半年，对模型能力有什么新的理解 09:36 解决模型能力遗忘为什么重要，有什么挑战 13:49 模型能力遗忘对于垂直领域模型有什么影响 17:39 蒸馏 (Distillation) 技术为什么重要，现在研究和落地处在什么阶段 24:00 算力紧张，以后更多的创新研究都会发生在业界而不是学术界吗 26:39 ICML上看到了哪些有意思的研究 - paper 推荐！ 30:41 最火的话题1：基于LLM的agents 构建有什么挑战和解法 37:36 现在的大语言模型能力可以支持怎样的Agent? 48:51 最火的话题2：解读 Llama 2，最让人印象深刻的变化是什么？ 56:25 基于Llama 2,学术界可以有什么研究方向？ 59:06 ICML 上亲历的大神交流 61:57 符尧还在关注哪些新的研究方向 & 我们对 Agent 集群的畅想 我们提到的内容 符尧的ICML论文：Specializing Smaller Language Models towards Multi-Step Reasoning T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Llama 2: Open Foundation and Fine-Tuned Chat Models Chatbot Arena: Benchmarking LLMs in the Wild with Elo Ratings The Flan Collection: Designing Data and Methods for Effective Instruction Tuning FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU FLOWGEN: Fast and slow graph generation by Aman Madaan 符尧的Llama 2 讨论会 memo (7/18/2023) RL: Reinforcement learning, 强化学习 SFT: Supervised Fine Tuning, 监督微调 RLHF: Reinforcement Learning with Human Feedback, 人类反馈强化学习 Distillation: 蒸馏，基于大语言模型训练小模型的方法 Scaling law: A mathematical relationship where performance improves with increasing size, 规模定律 Alignment tax: Additional effort to align a model's behavior with human values, 对齐税 参考文章 符尧的个人主页 ICML 2023 手记 - 诸神之战的最前线 符尧的博客 A Closer Look at Large Language Models Emergent Abilities, by Yao Fu How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources, by Yao Fu Training language models to follow instructions with human feedback, by John Schulman Scaling Laws for Reward Model Overoptimization Emergent Abilities of Large Language Models, by Jason Wei Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, by Jason Wei 别忘了，关注M小姐的微信公众号，了解更多中美软件、AI与创业投资的干货内容！ M小姐研习录 (ID: MissMStudy) 大家的点赞、评论、转发是对我们最好的鼓励！如果你能在小宇宙上点个赞，Apple Podcasts 上给个五星好评，就能让更多的朋友看到我们努力制作的内容，打赏请我们喝杯咖啡，就给你比心！ 有任何心得和建议，也欢迎在评论区跟我们互动~
Movies, PSH, fan theories, and oh yeah, only the dialectic pull of simultaneously not wanting to undersell or oversell yourself. We also get into the reasons for making art and how how all these AI LLM are kind of missing the point. Steve Schapiro is our Photographer of the Week. Tommy Westphall Universe Theory. CJ Hendry Illustrations on Instagram Painter Cecily Brown Jean Claude Van Damme in Breakin’ Speaking of Seeing with Sandi Robertson and Bill Wadman AI Girl with the Pearl Earring Steve Schapiro
I discuss my experience testing different AI systems prompting including Google Bard, OpenAI GPT-4 / GPT 3.5, Anthropic Claude 2, Llama 2, and Jasper to generate location-specific content. Most of this is based on the last 18 months of building out prompts, and now testing on models released over the last 4-6 weeks.Google BardReleased major update on July 13, 2023Prompt strategy: Long paragraphs, numbered tasks, multiple iterationsCouldn't produce high quality content without heavy editingIssues following instructions, needing remindersOpenAI GPT-4Works well with conversational, transcribed promptAble to follow directions and produce high quality contentNo need for shot promptingOpenAI GPT-3.5Uses revised GPT-4 prompt plus follow up to enforce formattingGets content production-ready after second promptQuality close to GPT-4 with additional data/content providedAnthropic Claude 2No API access, using text interfaceRequired revising prompt structure significantlyXML tagging of data types improves contextBuilt-in prompt diagnosis/suggestions helpfulSingle prompt can produce high quality outputMeta Llama 2Free to use commercially if you have the hardwareExpected behavior similar to GPT-3.5GPT-4 prompt worked wellQuality closer to GPT-3.5 but better privacyCould refine with prompt chainingIssues following instructions preciselyJasper APIAccess useful for building AI toolsLong prompt length capabilityAppears to use GPT-4 or variantZero shot performs as well as GPT-4Able to produce high quality content easilyConclusionGPT-4 and Jasper produce quality results most easilyPleasantly surprised by Claude 2 quality and formatting of promptLlama 2 needs refinement to reach GPT-4 levelCurious about prompt strategies working across modelsFull show notes: https://opinionatedseo.com/2023/07/ai-prompting/
Implement Al is a next generation consultancy dedicated to supporting small and medium-sized businesses to understand, select and implement Al and continually optimise as the technology evolves. Implement Al is your partner to transform your business to being Al-assisted, before your competition does. In this episode Piers and Aalok discuss implementing AI in Business, Shopify AI Sidekick, Shutter Stock AI, LLM Claude 2, Launch of X.ai and Runway ML. Want to become AI-assisted? Get in touch https://www.implementai.io/
Cisco announces AI Networking versions of SIlicon One ASICs and buys another DEM business. HPE Greenlake adds AI LLM. FTC talks bandwidth caps. Google accusing Microsoft of monopolistic behaviour. We laughed.
Cisco announces AI Networking versions of SIlicon One ASICs and buys another DEM business. HPE Greenlake adds AI LLM. FTC talks bandwidth caps. Google accusing Microsoft of monopolistic behaviour. We laughed. The post NB436: Cisco AI Silicon, DEM. HPE Greenlake AI LLM. FTC Talks Bandwidth Caps. appeared first on Packet Pushers.
Cisco announces AI Networking versions of SIlicon One ASICs and buys another DEM business. HPE Greenlake adds AI LLM. FTC talks bandwidth caps. Google accusing Microsoft of monopolistic behaviour. We laughed.
Cisco announces AI Networking versions of SIlicon One ASICs and buys another DEM business. HPE Greenlake adds AI LLM. FTC talks bandwidth caps. Google accusing Microsoft of monopolistic behaviour. We laughed. The post NB436: Cisco AI Silicon, DEM. HPE Greenlake AI LLM. FTC Talks Bandwidth Caps. appeared first on Packet Pushers.
Cisco announces AI Networking versions of SIlicon One ASICs and buys another DEM business. HPE Greenlake adds AI LLM. FTC talks bandwidth caps. Google accusing Microsoft of monopolistic behaviour. We laughed.
Cisco announces AI Networking versions of SIlicon One ASICs and buys another DEM business. HPE Greenlake adds AI LLM. FTC talks bandwidth caps. Google accusing Microsoft of monopolistic behaviour. We laughed. The post NB436: Cisco AI Silicon, DEM. HPE Greenlake AI LLM. FTC Talks Bandwidth Caps. appeared first on Packet Pushers.
Munjal Shah, the co-founder and CEO of Hippocratic AI, highlights how a personal health event propelled him into the healthcare industry. He elucidates the potential of AI technologies to offer intelligent, secure, and cost-effective solutions for the significant challenges encountered by traditional industries. Furthermore, Munjal delves into the pivotal role that startups play in shaping the future of AI.In this episode, you'll learn:[6:38] AI - a net good or a net bad?[10:25] Challenges of integrating AI solutions into healthcare management. Who's better positioned to provide these solutions - startups or big companies?[14:31] Lessons on raising startup capital from 20+ fundraising experiences[21:36] Networking advice: Start early and offer value to your networks[24:54] Similarities and differences between investing in startups as an angel investor versus investing in funds as an LPThe non-profit organization that Munjal is passionate about: South Asian Heart CenterAbout Munjal ShahMunjal Shah is a co-founder and CEO at Hippocratic AI. He is a serial entrepreneur, startup advisor, and investor who has built / helped build numerous other technology and AI startups. He previously served as CEO & co-founder of Health IQ, Like.com, & Andale. Munjal Munjal is also an advisor/investor in several companies including Blindsight, PatientPing, LiftLabs, Counsyl, Honor Health, Retrace.ai, Interaxon, Wildflower, Reify Health, Scopley, Pubmatic and more.About Hippocratic AIHippocratic AI is building a safety-focused large language model (LLM) for the healthcare industry. It's founded by hospital administrators, doctors, medicare experts, payor experts, and AI & LLM researchers. The company raised a $50MM seed round from A16z and General Catalyst.Subscribe to our podcast and stay tuned for our next episode. Follow Us: Twitter | Linkedin | Instagram | Facebook
Discuss observations and trends across the venture capital ecosystem as it pertains to cybersecurity. This will include a re-cap in how 2022 ended, what we saw in Q12023, and what we expect from an investing standpoint. Segment Resources: https://forgepointcap.com/ With over 1 billion records exposed in just the top 35 breaches, over $2.6 billion stolen in the top nine cryptocurrency breaches, and over $2.7 billion in fines levied to the top 35 violators, lessons abound for security teams. We will walk through some of the biggest trends in last year's data breaches and privacy violations, and we'll talk about what security leaders can learn from these events. Segment Resources: https://www.forrester.com/blogs/2022-breaches-and-fines-offer-lessons-to-security-leaders In the Enterprise Security News, Lots of funding announcements and new companies, Private Equity acquires Maltego, Cinven acquires RSA Archer Comcast launches a security product, Zscaler has beef with Gartner, CISA releases updated Zero Trust Model, Amazon jumps into the AI LLM fray, AutoGPT stretches the imagination and potential use cases, The Ever Changing API security market, New security books just released, Zombie birds! Visit https://www.securityweekly.com/esw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/esw314
Discuss observations and trends across the venture capital ecosystem as it pertains to cybersecurity. This will include a re-cap in how 2022 ended, what we saw in Q12023, and what we expect from an investing standpoint. Segment Resources: https://forgepointcap.com/ With over 1 billion records exposed in just the top 35 breaches, over $2.6 billion stolen in the top nine cryptocurrency breaches, and over $2.7 billion in fines levied to the top 35 violators, lessons abound for security teams. We will walk through some of the biggest trends in last year's data breaches and privacy violations, and we'll talk about what security leaders can learn from these events. Segment Resources: https://www.forrester.com/blogs/2022-breaches-and-fines-offer-lessons-to-security-leaders In the Enterprise Security News, Lots of funding announcements and new companies, Private Equity acquires Maltego, Cinven acquires RSA Archer Comcast launches a security product, Zscaler has beef with Gartner, CISA releases updated Zero Trust Model, Amazon jumps into the AI LLM fray, AutoGPT stretches the imagination and potential use cases, The Ever Changing API security market, New security books just released, Zombie birds! Visit https://www.securityweekly.com/esw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/esw314
In the Enterprise Security News, Lots of funding announcements and new companies, Private Equity acquires Maltego, Cinven acquires RSA Archer Comcast launches a security product, Zscaler has beef with Gartner, CISA releases updated Zero Trust Model, Amazon jumps into the AI LLM fray, AutoGPT stretches the imagination and potential use cases, The Ever Changing API security market, New security books just released, Zombie birds! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw314
In the Enterprise Security News, Lots of funding announcements and new companies, Private Equity acquires Maltego, Cinven acquires RSA Archer Comcast launches a security product, Zscaler has beef with Gartner, CISA releases updated Zero Trust Model, Amazon jumps into the AI LLM fray, AutoGPT stretches the imagination and potential use cases, The Ever Changing API security market, New security books just released, Zombie birds! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw314
Di ritorno dal IAPP Global Privacy Summit di Washington Rocco Panetta fa il punto sulle politiche europee e statunitensi intorno all'AI, a come è stato accolto il recente provvedimento del Garante sui large language models, e al futuro di IAPP, con un annuncio a sorpresa alla fine.Link utili:IAPP Global Privacy Summit in Washingtonpanetta.netiapp.org
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Sahil Lavingia founded Gumroad at the age of 19 and built it into a leading digital commerce platform. He is the author of The Minimalist Entrepreneur and an investor in early-stage startups.Steve and Sahil discuss:0:00 Sahil's upbringing and start as an entrepreneur9:35 Tech founder at 19 and VC investment from Kleiner-Perkins24:15 Backstory of Gumroad30:30 Crowdfunding Gumroad37:09 Experiments with OpenAI LLM, ChatGPT, and the promise of AIReferences:Sahil's web pagehttps://sahillavingia.com/Ask My Book: interrogate Sahil's book via LLMhttps://askmybook.com/
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