Podcasts about google alphabet

In this episode, Scott Becker unpacks Google/Alphabet's resilience amid AI disruption and market shifts.

In this episode, Scott Becker unpacks Google/Alphabet's resilience amid AI disruption and market shifts.

En el episodio de hoy de VG Daily, Valentina Orduz y Juan Manuel de los Reyes analizan las noticias más relevantes del ámbito económico, tecnológico y político. Comenzaron discutiendo las nuevas tarifas comerciales impuestas por Donald Trump, un movimiento que ha generado tensiones internacionales y posibles represalias económicas. Luego, exploraron el informe de empleo de ADP para enero de 2025, que mostró un aumento de 183,000 empleos en el sector privado, destacando el crecimiento en servicios pero con una contracción en manufactura.En el ámbito corporativo, se profundizó en los reportes financieros de Google (Alphabet), AMD y Disney. Alphabet reportó ingresos sólidos pero decepcionó con su segmento de Google Cloud, lo que provocó una caída del 7% en sus acciones. AMD, a pesar de registrar ingresos récord impulsados por su división de centros de datos, también sufrió una caída similar debido a preocupaciones sobre sus ventas futuras en inteligencia artificial. Por su parte, Disney superó las expectativas con un aumento del 35% en sus ganancias por acción gracias al éxito de películas como Moana 2, aunque enfrentó retos en sus parques temáticos domésticos debido a huracanes.Finalmente, el episodio cerró con un análisis sobre cómo estas noticias impactan los mercados globales y qué esperar en los próximos meses.

For months now, Wall Street has lived on the hopes and aspirations of a new technology, Artificial Intelligence. AI promised to take these highly profitable companies to the next level. The big six were already the most valuable financial assets on the globe. Three were valued at over $3 trillion, (Nvidia, Apple, and Microsoft) two over $2 Trillion (Amazon and Google/Alphabet), and the “low priced company (Meta) at over $1 Trillion.

For months now, Wall Street has lived on the hopes and aspirations of a new technology, Artificial Intelligence. AI promised to take these highly profitable companies to the next level. The big six were already the most valuable financial assets on the globe. Three were valued at over $3 trillion, (Nvidia, Apple, and Microsoft) two over $2 Trillion (Amazon and Google/Alphabet), and the “low priced company (Meta) at over $1 Trillion.

For months now, Wall Street has lived on the hopes and aspirations of a new technology, Artificial Intelligence. AI promised to take these highly profitable companies to the next level. The big six were already the most valuable financial assets on the globe. Three were valued at over $3 trillion, (Nvidia, Apple, and Microsoft) two over $2 Trillion (Amazon and Google/Alphabet), and the “low priced company (Meta) at over $1 Trillion.

For months now, Wall Street has lived on the hopes and aspirations of a new technology, Artificial Intelligence. AI promised to take these highly profitable companies to the next level. The big six were already the most valuable financial assets on the globe. Three were valued at over $3 trillion, (Nvidia, Apple, and Microsoft) two over $2 Trillion (Amazon and Google/Alphabet), and the “low priced company (Meta) at over $1 Trillion.

durée : 00:03:37 - Un monde connecté - par : Thomas Baumgartner - La bataille entre Google, dont la position est jugée ultra-dominante, et le ministère de la justice américain se poursuit. Celui-ci souhaiterait forcer Google-Alphabet à vendre le navigateur Chrome ou son système d'exploitation mobile Android. Google a répondu : non, mais on peut s'arranger…

Join Michelle Martin on her tour of markets! Hosted by Michelle Martin with Ryan Huang, this episode dives into the largest ASX IPO in six years with DigiCo Infrastructure REIT. Discover what’s powering Broadcom’s AI-driven earnings and Costco’s retail resilience. Explore the stock surges and dips of Warner Bros. Discovery, Adobe, and Nordic Group, alongside Google blending AI and XR with it's headset partnership with Samsung. Plus, insights on Yangzijiang Shipbuilding and SATS driving the Straits Times Index. Wrap up with a cultural shift in Hong Kong’s iconic Lan Kwai Fong.See omnystudio.com/listener for privacy information.

Nach der Präsidentschaftswahl sind einige Impulse für den Umbau des eigenen Portfolios zu erwarten. Je nachdem, welche Agenda das Rennen macht, werden bestimmte Sektoren und Unternehmen einen Aufschwung erleben oder ausgebremst. Börsenreporterin Anne Schwedt listet konkrete Beispiele für Trumps-Trades und Harris-Deals auf.Anschließend ein weiteres Bilanz-Update, denn fünf der Magnificent Seven haben neue Zahlen vorgelegt. Zu hören ist, wie die Berichte von Apple, Meta, Microsoft, Amazon und Google/Alphabet zu interpretieren sind, was zwischen den Zeilen steht und was Anleger daraus machen können.Im Dax-Update steht Volkswagen im Mittelpunkt. Der taumelnde Automobilriese wird drastische Maßnahmen ergreifen, um den VW-Konzern wieder in die Spur zu bringen. Aber ist allein der Ausblick darauf Grund genug, als Anleger einzusteigen? Darauf die Antwort von Pioneer-Aktienexperte Philipp Heinrich.In der Community-Corner wird diesmal geklärt, was unter einem Wash Sale zu verstehen ist. Erster Hinweis: Es geht um Steuervorteile beim Aktienverkauf.Fragen oder Feedback? Einfach melden via E-Mail oder Sprachnachricht: finanzmarkt@mediapioneer.com ID:{5H5LzlZivDwKSd7JERzshX}

En el podcast de hoy comentamos los impresionantes resultados empresariales de Google (Alphabet) en bolsa y su repercusión en la bolsa en general. Únete al canal GRATUITO de WhatsApp: https://whatsapp.com/channel/0029VaTrH1L72WTwHEGtyr0m Sígueme en instagram: ⁠https://instagram.com/arnau_invertirbolsa⁠ Todo lo que hacemos en Boring Capital: ⁠https://boringcapital.net/⁠ Consulta nuestras rentabilidades pasadas en Boring Capital: ⁠https://boringcapital.net/informes-rentabilidad⁠ Sígueme en Twitter: ⁠https://twitter.com/ajnogues⁠ Suscríbete a nuestra newsletter: ⁠https://mailchi.mp/1a1f327fc3d5/ideas-de-swing

Send us a texthttps://youtu.be/bHvhJ79woMQTry VectorVest Risk-Free ➥➥➥ https://www.vectorvest.com/YTThis video explores the recent performance of the "Magnificent 7" stocks—Apple, Microsoft, Amazon, Google (Alphabet), Meta, Nvidia, and Tesla—that have dominated market discussions. Are these tech giants still leading the charge, or have market trends shifted? We'll dive into the factors affecting their growth, key financials, and how macroeconomic changes like interest rates, inflation, and tech innovation could impact their future. Whether you're an investor or just curious about these industry leaders, this video will provide insight into whether they remain as "magnificent" as ever.Use this link for a FREE Stock Analysis Report ➥➥➥ vectorvest.com/YTFSA

Join Michelle Martin on her tour of markets! Hosted by Michelle Martin with Ryan Huang, today's episode explores China's latest stimulus measures and their impact on companies like Bank of China, Caterpillar, and Las Vegas Sands. We also dive into tech developments from Google and Meta, and discuss Alphabet's recent stock performance. The conversation moves to oil prices, market highs from the S&P 500, and Accenture's AI expansion. Don't miss our "Up or Down" segment featuring European banks, H&M, and SK Hynix.See omnystudio.com/listener for privacy information.

Alphabet (Google) ultima la compra de de Wiz por 23.000 millones de dólares

Shark Week (Market Style) - Whale Gorging - Big Teeth - Big Appetites Earnings season coming up Biden staying in the race (for now) Complacency nearing a tipping point. PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm Up - Shark Week - Whale Gorging - Big Teeth - Big Appetites - Earnings season coming up - Biden staying in the race - Market Moves - the inside track - NEW - ALL ABOUT BIDEN ISSSUES Market Update - Big Swings - Massive Rotation - Employment Report for June - Market Moves - the inside track - Big Box - down to a few Fed First - Fed Chairman Jerome Powell Q&A with Senate Banking Committee: The "likely next direction" of policy will be a loosening of policy; rate hike not likely Employment Reports - Private payroll growth edged lower in June, according to a report Wednesday from ADP that indicates a potential slowdown in the U.S. labor market. - Companies added 150,000 jobs for the month, below the upwardly revised 157,000 in May and the Dow Jones consensus estimate for 160,000. The total was the lowest monthly gain since January. - BLS Official saw Unemp rate tick up to 4.1% -Total nonfarm payroll employment increased by 206,000 in June - Job gains occurred in government, health care, social assistance, and construction. The Inside Track Lowdown -- People asking  me "When will this end? It is crazy!" - This week we will be treated to CPI and PPI. - As it stands, Powell made comments after the close on July 3rd that they  were not satisfied with the rate of change related to inflation.  There is more work to be done he said. But, the markets don't really care about that - they see a cut in September and December. - The general direction of the markets - or path of least resistance appears to be up. - Investors are gorging themselves on AI related names. - The big boys (and girls) of the market are taking in big money - helping to keep markets buoyed. - - It has the look and feel of great white sharks in a ravenous feeding frenzy over a rotting whale corpse. - Full Disclosure - we hold a good number of these names in our core equity allocation. Microsoft, Nvidia, SMCI, Google (Alphabet), Meta (Facebook) and several more. - Monday moves - the DJIA was up big to start the day and at the lunchtime break was in the red. The money clearly flowed out of DJIA and into the NASDAQ100 again. So, this is how it will be for a while, or until something changes. And, that may very well be the next batch of earnings through the season that begins on this coming Friday with the major financial names. Ford - Ford truck sales, which includes pickups and vans, totaled 308,920 vehicles during the period, the company's best second-quarter performance for the category since 2019, Ford said. Sales in its F-Series totaled 199,463 vehicles. - Sales of Ford electric vehicles totaled 23,957 during the second quarter, up 61%. - The automaker said its EVs, in particular the Mustang Mach-E and F-150 Lightning, are drawing new customers to the company. - Stock is stuck in a range Boeing - Boeing has agreed to plead guilty to a criminal fraud conspiracy charge and pay a fine of $243.6 million to resolve a U.S. Justice Department investigation into two 737 MAX fatal crashes, the government said in a court filing on Sunday. - The plea deal, which requires a judge's approval, would brand the planemaker a convicted felon in connection with crashes in Indonesia and Ethiopia over a five-month period in 2018 and 2019 that killed 346 people. - Smart - quick slap on the wrist and get it over with (for publicity sake) - As part of the deal, the planemaker agreed to spend at least $455 million over the next three years to...

Aaron Welch, a service-disabled veteran of the US Marine Corps (1995-1999), traded his combat boots for marketing savvy, diving into the internet marketing scene in 2001 and social media marketing in 2006. Aaron's marketing journey began somewhat accidentally with a website reviewing Houston's nightlife and eateries in 2000. Although that first venture didn't take off, it sparked a relentless passion. After relocating to Austin, Aaron quickly turned his passion into profit, boosting his first client's business by an eye-popping 500% within two months. Since those early days, he's launched numerous businesses with some hits and some misses, collaborated with behemoths like Cisco Systems, Google (Alphabet), Oracle, and CDW, and helped to grow a lengthy roster of SaaS and local service providers' businesses through digital marketing advising and services. As an adult student, Aaron earned his BA from Texas State University and an MBA from the University of Texas of the Permian Basin courtesy of the GI Bill and Hazelwood Act while working full-time. Today, Aaron channels his formidable skills into championing Veteran-Owned Businesses and Veteran Service Organizations, enhancing their digital marketing, fundraising efforts, and adding automation and AI magic to streamline operations all while being a husband, father of two daughters who have inherited his sarcasm, being an avid traveler, sports fanatic, and terrible golfer. --- Support this podcast: https://podcasters.spotify.com/pod/show/vets2pm/support

  How Big Tech Co's Make Money - Magnificent 7 - MSFT, FB, NVDA, Apple, Google, Amzn, Tesla AZ TRT S05 EP19 (234) 5-12-2024    What We Learned This Week: Tech Stocks - 7 Big Market Cap Stocks make up 29% of S&P Google, Microsoft & Amazon are biggest Co‘s in Cloud Service Tesla is the biggest EV Car Co,, & Apple biggest in Smart Phones Nvidia is the AI Superchip tech company Google & Meta / FB are the biggest advertising co‘s in the world     Notes:   Breakdown of Revenue Sources, Market Cap / CEO / Start   Google / Alphabet  – ads / search, playstore, hardware, services, YouTube premium content + TV, cloud Microsoft – gaming, services, software, devices, cloud Apple – devices, services, apps Nvidia – AI Chips, Graphic Cards, & components Tesla – EV Cars Amazon – E Commerce, cloud, services Meta / Facebook – ads, devices       Big drops in two of the Magnificent Seven stocks haven't dented the group's influence on the S&P 500. In fact, the trendy stocks dominate now more than ever. The seven megacap stocks — Microsoft (MSFT), Apple (AAPL), Nvidia (NVDA), Alphabet (GOOG), Amazon.com (AMZN), Meta (META) and Tesla (TSLA) — account for 29.7% of the S&P 500 as of April 17, says Datatrek Research. That's up from the group's 27.9% weight in the S&P 500 in 2023. Seeing the group's hold over the world's most popular index grow this year might surprise you. Shares of Tesla are down 37.4%. "Despite all the buzz around the death of the 'Magnificent 7,' U.S. big tech is actually a more dominant force in American stock markets than at the end of 2023," said Nicholas Colas of Datatrek in a report.   Source:4/2024 -  https://www.investors.com/etfs-and-funds/sectors/sp500-magnificent-7-stocks-dominate-even-more-now/       Google CEO Sundar Pinchai c 1998 Sergey Brin and Larry Page Mkt Cap $2.1 Tr   Source: https://www.oberlo.com/statistics/how-does-google-make-money Google / Alphabet  – ads / search 56% of rev at $175 bil in 2023, playstore, hardware, services, YouTube premium content + TV, cloud 11% of rev at $31 bil   Google revenue breakdown: top Google revenue sources in 2023 Ads ·         Ads (Google Search & other properties): $175.03 billion (56.9%) ·         YouTube ads: $31.51 billion (10.3%) ·         Google Network ads: $31.31 billion (10.2%) Google subscriptions, platforms, and devices: $34.69 billion (11.3%) Google Cloud: $33.09 billion (10.8%) Other bets: $1.53 billion (0.5%) Hedging gains: $236 million (0.1%)   Source: https://www.investopedia.com/articles/investing/020515/business-google.asp   KEY TAKEAWAYS Alphabet is a collection of different companies, including the popular search engine Google. The company leverages its search, web browsing, mobile operating systems, and cloud computing to make money through the sale of advertising and various service fees. Advertising generates the majority of revenue, but Google Cloud revenues are growing rapidly. The company has three reportable segments: Google Services, Google Cloud, and Other Bets. Google Services is the most profitable while Google Cloud and Other Bets often post operating losses.       Microsoft CEO Satya Nadella. C 1975 Bill Gates / Paul Allen Mkt Cap 3.1 tr   KEY TAKEAWAYS Microsoft sells computing devices, cloud systems and services, software, and other products to consumers and businesses. The company's Intelligent Cloud segment is the largest source of profit, as well as the fastest-growing. Microsoft is focused on delivering AI solutions to customers in a broad swath of industries. Some of its many competitors include Apple, Amazon, Meta, Alphabet, Oracle, and IBM. Microsoft's current CEO is Satya Nadella.   Source: https://www.investopedia.com/how-microsoft-makes-money-4798809   Source: https://techbehemoths.com/blog/how-microsoft-makes-billions   First thing's first and just before we dive into the financial story, we should identify the major sources of revenue Microsoft has:  ·         Cloud computing - The entire business suite of Microsoft is focused on cloud services. Microsoft Azure for example is the leading direction in the company's cloud services. But, things are more complicated ·         Windows OS - from Windows 95 till 10th version is only 15 years. And in May 2021 with the 21H1 update rumors are saying that the next thing that will happen in Autumn 2021 is the release of Windows 11. It was and continues to be one of the largest sources of revenue for Microsoft.  ·         Microsoft Teams - An alternative to Slack, some would say, but Microsoft is putting more than just a comfortable chat for users. It is designed to become a digital environment for companies and employees of any company in the world.  ·         Xbox - the gaming industry is growing, and Microsoft couldn't stay apart from this topic. Sony needed competition and Xbox is the best possible alternative to it at the moment ·         LinkedIn - Since 2016 when Microsoft acquired LinkedIn, the professional social network continued to grow and became a unique and indispensable tool for HR professionals all over the world.  ·         Minecraft - as if Xbox was not enough, Microsoft dive into the gaming industry even more with Minecraft.  So, there is a good portfolio for Microsoft which in its turn provides a series of exclusive services, or competitive Microsoft Azure is a top cloud service provider competing with Google Cloud and AWS from Amazon.   Revenue of Microsoft broken down by segment 2012-2023 Published by  Lionel Sujay Vailshery,  Mar 27, 2024  In its 2023 financial year, Microsoft generated 69 billion U.S. dollars from its productivity and business processes segment and a further 88 billion through its intelligent cloud segment. Thanks in part to the rapid growth in these two areas, 2023 proved to be the company's most successful year ever in terms of annual revenue, with the total figure reaching over 211 billion dollars.   Source: https://www.visualcapitalist.com/microsofts-revenue-by-product-line/   Microsoft's Most Lucrative Business Segments In 2023, Microsoft revenues soared to a record $211 billion as demand for AI services accelerated. As one of the world's largest companies by market cap, Microsoft reached a $2.8 trillion valuation as investors flocked to big tech and AI-related stocks last year. Amid strong growth, here's how much revenue was generated from Microsoft's product lines in 2023: Product LIne FY2023 Revenue Share of Revenue Cloud Computing Services $80B 38% Cloud Office Suite Software $49B 23% Operating Systems $22B 10% Gaming Consoles $15B 7% Employment Listing Platform $15B 7% AI-Enabled Search Engine $12B 6% Other $19B 9% Total Revenue $211B 100%   Source: https://blogs.microsoft.com/blog/2023/01/23/microsoftandopenaiextendpartnership/   Microsoft and OpenAI This agreement follows our previous investments in 2019 and 2021. It extends our ongoing collaboration across AI supercomputing and research and enables each of us to independently commercialize the resulting advanced AI technologies. ·         Supercomputing at scale – Microsoft will increase our investments in the development and deployment of specialized supercomputing systems to accelerate OpenAI's groundbreaking independent AI research. We will also continue to build out Azure's leading AI infrastructure to help customers build and deploy their AI applications on a global scale. ·         New AI-powered experiences – Microsoft will deploy OpenAI's models across our consumer and enterprise products and introduce new categories of digital experiences built on OpenAI's technology. This includes Microsoft's Azure OpenAI Service, which empowers developers to build cutting-edge AI applications through direct access to OpenAI models backed by Azure's trusted, enterprise-grade capabilities and AI-optimized infrastructure and tools. ·         Exclusive cloud provider – As OpenAI's exclusive cloud provider, Azure will power all OpenAI workloads across research, products and API services.       Meta / FB - Mark Zuckerburg + others c 2/2004 Mkt Cap 1.2 tr   Source: https://www.investopedia.com/ask/answers/120114/how-does-facebook-fb-make-money.asp KEY TAKEAWAYS Meta Platforms sells ads on social media websites and mobile applications and also sells augmented- and virtual-reality products and services. Advertising sales are the primary source of Meta's revenue. Facebook reported in 2021 that it lost daily active users for the first time in its history. Reality Labs is Meta's augmented and virtual reality technologies segment, which features and sells products such as the Oculus VR headset. Meta discloses data about the diversity and inclusion of its general management and employees.   Instagram, Messenger, WhatsApp  In 2023, the revenue general by Meta Platforms (formerly known as Facebook Inc.) amounted to roughly 134 billion US dollars, up from around 116 billion U.S. dollars in the previous fiscal year. In 2022, Meta's revenue stood at 117.9 billion USD.   Meta Revenue Breakdown 2022 % Advertising $113.64B 97.5% Other revenue (payments and fees) $809MM 0.7% Reality Labs (primarily sales of Oculus, now called Meta Quest) $2.16B 1.9% Total $116.6B         Apple c 1976 Steve Jobs and Steve Woz CEO Tim Cook Mkt Cap 2.9 tr   Source: https://www.tutor2u.net/economics/reference/why-is-apple-so-profitable#:~: . Diversified revenue streams: Apple generates revenue from a variety of different sources, including iPhone sales, iPad sales, Mac sales, as well as services like the App Store, Apple Music, and iCloud. This diversification helps to minimise risk and ensure a steady stream of income for the company.   Source: https://www.investopedia.com/how-apple-makes-money-4798689 KEY TAKEAWAYS Apple sells smartphones, personal computers, tablets, wearables and accessories, as well as a variety of services. iPhones are Apple's biggest source of revenue by product. Apple's services business generates the highest gross margins compared to its products business. Apple faces antitrust challenges regarding its App Store and ongoing unionization attempts by its retail workers.   Apple Revenue iPhone Accessories Mac iPad iPod Services 2023 $200.6B $39.8B $29.3B $28.3B - $85.2B Total 2023 Rev - $382 B       Nvidia  c 1997 CEO Jenson Huang – Hong Mkt Cap 2.3 Tr   Source: https://www.investopedia.com/how-nvidia-makes-money-4799532   KEY TAKEAWAYS Compute and Networking, which includes artificial intelligence (AI), is Nvidia's biggest revenue generator. The graphics business segment is Nvidia's second largest revenue generator. Nvidia (NVDA) introduced graphics processing units, known as GPUs, a key component of PC architecture and large-scale applications. It designs and sells GPUs for gaming, cryptocurrency mining, and professional applications. It also sells chip systems for use in vehicles, robotics, and more.     Revenue $26 bil in 2023, and $60 bil in 2024 so far Graphics and computers / networking – gaming, data centers     Nvidia partners with all – Google, FB, Amazon, Dell, Tesla, OpenAI, Oracle Source: https://nvidianews.nvidia.com/news/nvidia-blackwell-platform-arrives-to-power-a-new-era-of-computing#:~: .   NVIDIA Blackwell Platform Arrives to Power a New Era of Computing March 18, 2024 Blackwell Innovations to Fuel Accelerated Computing and Generative AI Blackwell's six revolutionary technologies, which together enable AI training and real-time LLM inference for models scaling up to 10 trillion parameters, include: World's Most Powerful Chip — Packed with 208 billion transistors, Blackwell-architecture GPUs are manufactured using a custom-built 4NP TSMC process with two-reticle limit GPU dies connected by 10 TB/second chip-to-chip link into a single, unified GPU. Second-Generation Transformer Engine — Fueled by new micro-tensor scaling support and NVIDIA's advanced dynamic range management algorithms integrated into NVIDIA TensorRT™-LLM and NeMo Megatron frameworks, Blackwell will support double the compute and model sizes with new 4-bit floating point AI inference capabilities. Fifth-Generation NVLink — To accelerate performance for multitrillion-parameter and mixture-of-experts AI models, the latest iteration of NVIDIA NVLink® delivers groundbreaking 1.8TB/s bidirectional throughput per GPU, ensuring seamless high-speed communication among up to 576 GPUs for the most complex LLMs. RAS Engine — Blackwell-powered GPUs include a dedicated engine for reliability, availability and serviceability. Additionally, the Blackwell architecture adds capabilities at the chip level to utilize AI-based preventative maintenance to run diagnostics and forecast reliability issues. This maximizes system uptime and improves resiliency for massive-scale AI deployments to run uninterrupted for weeks or even months at a time and to reduce operating costs. Secure AI — Advanced confidential computing capabilities protect AI models and customer data without compromising performance, with support for new native interface encryption protocols, which are critical for privacy-sensitive industries like healthcare and financial services. Decompression Engine — A dedicated decompression engine supports the latest formats, accelerating database queries to deliver the highest performance in data analytics and data science. In the coming years, data processing, on which companies spend tens of billions of dollars annually, will be increasingly GPU-accelerated.   A Massive Superchip The NVIDIA GB200 Grace Blackwell Superchip connects two NVIDIA B200 Tensor Core GPUs to the NVIDIA Grace CPU over a 900GB/s ultra-low-power NVLink chip-to-chip interconnect. For the highest AI performance, GB200-powered systems can be connected with the NVIDIA Quantum-X800 InfiniBand and Spectrum™-X800 Ethernet platforms, also announced today, which deliver advanced networking at speeds up to 800Gb/s. The GB200 is a key component of the NVIDIA GB200 NVL72, a multi-node, liquid-cooled, rack-scale system for the most compute-intensive workloads. It combines 36 Grace Blackwell Superchips, which include 72 Blackwell GPUs and 36 Grace CPUs interconnected by fifth-generation NVLink.      Tesla c 7/2003 CEO Elon Musk Mkt Cap 567 bil   Source: https://fourweekmba.com/tesla-revenue-breakdown/   Revenue Breakdown 2023 Contribution Automotive Sales $78.5B 81% Regulatory Credits $1.79B 1.85% Leasing $2.12B 2.19% Services $8.32B 8.6% Energy generation and storage $6.03B 6.24% Total $96.77B     Source: https://www.investopedia.com/tesla-s-largest-revenue-source-is-automotive-sales   KEY TAKEAWAYS Tesla makes, sells, and services all-electric vehicles in the U.S., Europe, and China. It also sells energy generation products. The company gets the vast majority of its revenue and all of its profits from automotive sales. Tesla is experiencing rapid growth in China. Tesla is facing investigations from regulators in different countries concerning safety-related issues with the electric automaker's vehicles. The company was recently sued by a California regulatory agency on allegations of racial discrimination and harassment at its factory in Fremont, CA.     Amazon c 1994 by Jeff Bezos CEO Andy Jassy Mkt Cap 1.9 tr   Amazon Revenue Breakdown - $575 B in 2023 Online stores $231.87B     Physical stores $20.03B     Third-party seller services $140.05B    Subscription services   $40.21B    AWS $90.76B    Advertising $46.9B        Other2023   $4.96B   Source: https://www.investopedia.com/how-amazon-makes-money-4587523   KEY TAKEAWAYS Amazon makes money through its retail, subscriptions, and web services, among other channels. Retail remains Amazon's primary source of revenue, with online and physical stores together accounting for the biggest share. Amazon Web Services (AWS) currently generates the majority of Amazon's operating profits and is growing at a robust pace.     AWS Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications: on-demand, available in seconds, with pay-as-you-go pricing.       Tech Topic: https://brt-show.libsyn.com/category/Tech-Startup-VC-Cybersecurity-Energy-Science   Best of Tech: https://brt-show.libsyn.com/size/5/?search=best+of+tech     Investing Topic: https://brt-show.libsyn.com/category/Investing-Stocks-Bonds-Retirement     ‘Best Of' Topic: https://brt-show.libsyn.com/category/Best+of+BRT     Thanks for Listening. Please Subscribe to the BRT Podcast.     AZ Tech Roundtable 2.0 with Matt Battaglia The show where Entrepreneurs, Top Executives, Founders, and Investors come to share insights about the future of business.  AZ TRT 2.0 looks at the new trends in business, & how classic industries are evolving.  Common Topics Discussed: Startups, Founders, Funds & Venture Capital, Business, Entrepreneurship, Biotech, Blockchain / Crypto, Executive Comp, Investing, Stocks, Real Estate + Alternative Investments, and more…    AZ TRT Podcast Home Page: http://aztrtshow.com/ ‘Best Of' AZ TRT Podcast: Click Here Podcast on Google: Click Here Podcast on Spotify: Click Here                    More Info: https://www.economicknight.com/azpodcast/ KFNX Info: https://1100kfnx.com/weekend-featured-shows/   Disclaimer: The views and opinions expressed in this program are those of the Hosts, Guests and Speakers, and do not necessarily reflect the views or positions of any entities they represent (or affiliates, members, managers, employees or partners), or any Station, Podcast Platform, Website or Social Media that this show may air on. All information provided is for educational and entertainment purposes. Nothing said on this program should be considered advice or recommendations in: business, legal, real estate, crypto, tax accounting, investment, etc. Always seek the advice of a professional in all business ventures, including but not limited to: investments, tax, loans, legal, accounting, real estate, crypto, contracts, sales, marketing, other business arrangements, etc.  

La matriz de Google repartirá 20 céntimos por acción y anuncia plan de recompra de acciones mientras presenta crecimiento de doble dígito en ingresos por publicidad

Joe Albano runs Tech Cache and gives his perspective on AI going mainstream and why he sees a short-term top coming (0:55). Quantifying tech stocks with fundamentals and chart analysis (7:35). Understanding AI's different layers (16:40). Hot take on Google/Alphabet (30:15).Subscribe to Tech CacheShow Notes:AI Hardware Stocks At A Peak: 2024 Growth May Not Translate To ReturnsNvidia And Micron: Recession Headwinds Are Tailwinds For AI, Buy The BeneficiariesAMD And Nvidia: Engagements Vs. InvoicesMicron: Gnashing Of Teeth As The Best Upcycle Develops (Rating Downgrade)Episode transcriptsFor full access to analyst ratings, stock quant scores as well as dividend grades, subscribe to Seeking Alpha Premium at seekingalpha.com/subscriptions

Appuntamento a giugno. Tassi invariati, come previsto, nella riunione di marzo; e quasi certamente anche in quella di aprile. La Banca centrale europea ha mantenuto al 4,50% il tasso di riferimento e al 4% il tasso sui depositi delle aziende di credito (e al 4,75% il tasso di emergenza). È la quarta pausa nel ciclo di dieci rialzi consecutivi cominciato a luglio 2022, mentre l'auspicato taglio dei tassi è stato rimandato ai prossimi mesi. La decisione è stata unanime e l'ipotesi di un taglio non è stata discussa, anche se si è iniziato a delineare, ha spiegato in conferenza stampa la presidente Christine Lagarde, una riduzione dell'orientamento restrittivo nel caso arrivino sufficienti informazioni che rafforzino la fiducia dei banchieri centrali. Ad aprile, ha aggiunto, i nuovi dati saranno ancora troppo pochi per prendere una decisione, ma a giugno saranno molti di più. Il commento Donato Masciandaro, docente politiche monetarie università Bocconi, editorialista de Il Sole 24 Ore.Tim crolla in borsaTim scivola in Borsa all'indomani della presentazione del piano industriale, il primo senza più la rete e con il debito in calo anche se gli obiettivi sembrano aver deluso il mercato. Facciamo il punto con Chiara Di Cristofaro di Radiocor Il Sole 24 ORETesla, Apple e Google. Tra le "magnifiche 7" in tre perdono colpiMicrosoft, Apple, Nvidia, Amazon, Google (Alphabet), Meta e Tesla. Le chiamano "magnifiche 7". Valgono più della somma del prodotto interno lordo di Giappone, Germania e Regno Unito e nonostante siano delle imprese gigantesche riescono a mantenere elevati tassi di crescita nel tempo, come sono più abituate a fare le start-up promettenti. In questo primo scorcio del 2024 però qualcuna sta dando al mercato segnali contrastanti, come scrive oggi Vito Lops su Il Sole 24 Ore. Ci colleghiamo proprio con lui Assolombarda: l'export insidiato dalle crisi globali. Intanto la Francia diventa il primo Paese di sboccoLa Germania è in recessione (nel 2023 chiude con un PIL -0,3% e registra attese deboli per il 2024 con un PIL +0,3% secondo la Commissione Europea). Assolombarda nei primi nove mesi del 2023 ha rilevato - nel perimetro delle imprese associate - il sorpasso da parte della Francia per quanto riguarda l'export. La Francia rappresenta ora il nostro primo mercato estero, dopo anni di primato tedesco: l'export di Milano, Lodi, Monza Brianza e Pavia è stato di 5,3 miliardi di euro verso la Francia e di 5,2 miliardi verso la Germania. Ci colleghiamo con Alessandro Spada, presidente di Assolombarda.

In this episode, Scott discusses 5 tech giants and their stocks.

In this episode, Scott discusses 5 tech giants and their stocks.

美國科技股7強中的Google母公司Alphabet，和微軟都在30日公布財報，投資人消化好壞參半的數據，美股四大指數有漲有跌。至於歐元區，則因為上季GDP有所增加，顯示成功避免技術性衰退，歐股三大指數全數收紅。 YT收看《寰宇全視界》

Chuck Zodda and Marc Fandetti discuss Netflix's blockbuster earnings report and the shares popping over 10%. Chuck wonders if Tesla and Google (Alphabet) belong in the Magnificent Seven anymore. Todd Lutsky stops by for his weekly segment, Ask Todd, where he shares his advice on advance planning your estate and takes questions from listeners about their estate planning issues.

蘋果 Apple, 亞馬遜 Amazon, 谷歌 Google (Alphabet), 臉書 Meta, 微軟 Microsoft, Nvidia 輝達, Tesla 特斯拉 市值佔S&P500 的27.7% AAPL, AMZN, GOOGL, META, MSFT, NVDA, TSLA 留言告訴我你對這一集的想法： https://open.firstory.me/user/clnphep6q04qd01ur2pn187oy/comments 各大Podcast 收聽平台：https://bit.ly/45Sf7Am YT生動影像版： https://youtu.be/wzvsUyqf5Lg Podcast 每週三更新；每週五上線 YT 影像版 小額贊助支持本節目： https://open.firstory.me/user/clnphep6q04qd01ur2pn187oy 財父自由 YT：https://bit.ly/middleagedaddies 徐大叔和傑糯米 YT： https://bit.ly/unclealexjeremy （肉類烹飪，食物科學，廚具開箱）） IG: Instagram:https://bit.ly/2mvPNAt FB:https://bit.ly/2LnZqJZ 合作邀約：rue216taipei@gmail.com Powered by Firstory Hosting

Heading into 2024, we may be witnessing a change in a number of trends. The October CPI numbers suggest inflation is moderating faster than expected. If that proves true, this may mean the Federal Reserve's aggressive campaign of hiking interest rates is over. And if that is true, the 3-year beating the bond market has suffered may be coming to an end. As for stocks, they've been powered higher all year by the Magnificent 7 -- Apple, Google/Alphabet, Amazon, Microsoft, Nvidia, Meta and Tesla.. But even there, we may be witnessing a regime change. To clarify whether these are indeed real & significant trend shifts, Thoughtful Money host Adam Taggart sits down in today's video to speak with Fred Hickey, editor of the highly respected newsletter The High Tech Strategist, which Fred has been publishing since 1987. If you're interested in signing up for Fred's newsletter, send an email to thehightechstrategist@yahoo.com Or follow him on Twitter at @htsfhickey To learn what's in store for this new Thoughtful Money channel, SUBSCRIBE FOR FREE to Adam's new Substack at https://adamtaggart.substack.com/ #magnificent7 #techstocks #inflation

澳洲統計局昨日公佈左 9月季度消費者物價指數 CPI，顯示新通脹數字高過市場預期，市場預料下月儲備銀行可能會再加息。而另外，美國10年期國債孳息率一度升穿5厘關口，市場反應又如何？今集的 《寰宇金融》蔡苡雯同獨立經濟分析及商業投資顧問潘萬新 Brian 同大家分析一下市況，今日亦會分析一下美市（25日）納指大跌2.4%，Google 母公司 Alphabet 挫近10%，亞馬遜亦下挫 5.6%的原因。詳情請收聽這節【寰宇金融】。

Google/Alphabet's Q3 2023 earnings call, unedited

Google/Alphabet's Q2 2023 earnings call, unedited

Dagen gäst är Johan Roslund, en privatinvesterare med stenkoll på tech-branchen. Tillsammans med Ara så pratas det bland annat om vilka som blir vinnare på AI, gamingbolagens framtid, och dom bortglömda svenska tech-bolag som man kan finna värde i. Tidskoder: 1:41 Nvidia 3:55 AMD 5:27 Lverantörskedjan (ASML + TSMC) 7:59 ASML 9:34 Adobe 12:12 Salesforce 15:18 Microsoft 18:18 Google (Alphabet) 21:17 Ge bort ett sparande 22:32 Yubico (ACQ Bure SPAC) 25:56 P/S-tal 26:45 Kinesisk invasion i Taiwan? 28:58 Alibaba + Tencent 30:31 Paradox vs Embracer 32:23 Embracer 35:56 För mycket fokus på IP? 37:15 Paradox 38:40 Activision Blizzard 39:24 Infineon + Smart Eye Häng med i flödet på: 👉 TikTok - https://www.tiktok.com/@nordnet.sverige 👉 Instagram - https://www.instagram.com/nordnet/ 👉 Twitter - https://twitter.com/NordnetSE 👉 Facebook - https://www.facebook.com/nordnetsverige/ 👉 Ara Mustafa - https://twitter.com/NordnetAra Disclaimer: Finansiella instrument kan både öka och minska i värde. Det finns en risk att du inte får tillbaka de pengar du investerar. Innan du investerar i en aktie eller fond bör du läsa informationsbroschyren som finns hos bolaget och faktabladet som du hittar i orderläggningsfönstret samt på aktien eller fondens produktsida på nordnet.se.

Does technological progress automatically translate into higher wages, better standards of living, and widely shared prosperity? Or is it necessary to steer the development of technological improvement to ensure the benefits don't accrue only to the few? In a new book, two well-known economists argue the latter. I'm joined in this episode by one of the authors, Simon Johnson.Simon is the Kurtz Professor of Entrepreneurship at MIT. He and Daron Acemoglu are authors of the new book Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity. Simon is also co-author with Jonathan Gruber of 2019's Jump-Starting America, now out in a new paperback.In This Episode* Is America too optimistic about technology? (1:24)* Ensuring progress is widely shared (11:10)* What about Big Tech? (15:22)* Can we really nudge transformational technology? (19:54)* Evaluating the Biden administration's science policy (24:14)Below is an edited transcript of our conversationIs America too optimistic about technology? James Pethokoukis: Let me start with a sentence or two from the prologue: “People understand that not everything promised by Bill Gates, Elon Musk, or even Steve Jobs will likely come to pass. But, as a world, we have become infused by their techno-optimism. Everyone everywhere should innovate as much as they can, figure out what works, and iron out the rough edges later.” Later, you write that that we are living in a “blindly optimistic” age.But rather, I see a lot of pessimism about AI. A very high percentage of people want an AI pause. People are very down on the concept of autonomous driving. They're very worried that these new technologies will only make climate change worse. We don't seem techno-optimistic to me. we certainly don't see it in our media. First of all, let me start out with, why do you think we're techno-optimistic right now, outside of Silicon Valley?Simon Johnson: Well, Silicon Valley is a very influential culture, as you know, nationally and internationally. So I think there's a deep-running techno-optimistic trend, Jim. But I also think you put your finger on something very important, which is since we finished the book and turned in the final version in November, I think the advance of ChatGPT and some of our increased awareness that this is not science fiction — this is actual, this is real, and the people who are developing this stuff have no idea how it works, for example—I wouldn't call it pessimism, but I think there's a moment of hesitation and concern. So good, let's have the discussion now about what we're inventing, and why, and could we put it on a better path?When I think about the past periods where it seemed like there was a lot of tech progress that was reflected in our economic statistics, whether it's productivity growth or economic growth more broadly, those were also periods where we saw very rapid wage growth people think very fondly about. I would love to have a repeat of 1995-2000. If we had technologies that could manage that kind of impact on the economy, what would be the downside? It seems like that would be great.I would love a repeat of the Henry Ford experience, actually, Jim. Henry Ford, as you know, automated the manufacturing of cars. We went from producing tens of thousands of cars in the US to, 30 years later, producing millions of cars because of Ford's automation. But at the same time Ford and all the people around him — a lot of entrepreneurs, of course, working with Ford and rivals to Ford — they created a lot of new jobs, new tasks. And that's the key balance. When you automate, when you have a big phase of automation, and we did have another one during World War II and after World War II. We also created a lot of new tasks, new jobs. Demand for labor was very strong. And I think that it's that balance we need. A lot of the concerns, the justified concerns about AI you were mentioning a moment ago, are about losing jobs very quickly and faster than we can create other tasks, jobs, demand for labor in other, non-automating parts of the economy.Your book is a book of deep economic history. It's the kind of book I absolutely love. I wonder if you could just give us a bit of a flavor of the history of what's interesting in this book about those two subjects and how they interact.We tried to go back as far as possible in economic and human history, recorded history, to understand technological transformations. Big ones. And it turns out you can go back about 1000 years with quite reliable information. There are some things you can say about earlier periods, a little bit more speculative to be honest. But 1000 years is a very interesting time period, Jim, because as you know, that's pretty much the rise of Europe timeframe. A thousand years ago, Europe was a nothing place on the edge of a not very important part of one continent. And through a series of technological transformations, which took a long time to get going — and that's part of the medieval story that we explore — [there was] a huge amount of innovativeness in those societies. But it did not translate into shared prosperity, and it was a very stop-start. I'm talking about over the period of centuries.Then, eventually, we get this Industrial Revolution, which is initially in Britain, in England, but it's also shared fairly quickly around northwest Europe: individual entrepreneurship, private capital, private ownership, markets as a dominating part of how you organize that economy. And eventually, not immediately, but eventually that becomes the basis for shared prosperity. And of course, that becomes the basis for American society. And the Americans by the 1850s to 1880s, depending how you want to cut it, have actually figured out industrial technology and boosted the demand for labor more than the Europeans ever imagined. Then the Americans are in the lead, and we had a very good 20th century combining private capital, private innovation with some (I would say) selective public interventions where a private initiative didn't work. And this actually carried a lot of countries, including countries in that European tradition, through to around 1980. Since 1980, it's become much more bumpy. We've had a widening of income inequality and much more questioning of the economic and political model.Going back into the history: Oftentimes people treat the period before the steam engine and the loom as periods of no innovation. But there was. It just didn't have the impact, and it wasn't sustained. But we were doing things as a society before the Industrial Revolution. There was progress.There was technological progress, technological change. Absolutely.The compass, the printing press, gunpowder — these are advances.Right. The Europeans, of course, were sort of the magpies of the world at that point. A lot of those innovations began in China. Some of them began in the Arab world. But the Europeans got their hands on them and used them, sometimes for military purposes. They figured out civilian uses as well. But they were very innovative. Some people got rich in those societies, but only a very few people, mostly the kings and their hangers-on and the church. Broad-shared prosperity did not come through because it was mostly forced labor. People did not own their labor. There was some private property, but there wasn't individual rights of the kind that we regard as absolutely central to prosperity in the United States, because they are central to prosperity and because they're in the Constitution for a reason, because it was coming out of feudalism and the remains of that feudal system that our ancestors in the United States were escaping from. So they said, “Let's enumerate those rights and make sure we don't lose them.” That's coming out of 800 years of hard-learned history, I would say, at that point. And that's one reason why, not at the moment of independence but within 50 to 70 years, the American economy was really clicking and innovating and breaking through on multiple technologies and sharing prosperity in a way that nobody had ever seen before in the world.Before that period in the 1800s, the problem was not the occasional good idea that changed something or made somebody rich; it was having sustained progress, sustained prosperity that eventually spread out wide among the people.Absolutely. And I think it was a question of who benefited and who was empowered and who could go on and invent the next things. Joel Mokyr, who's an economic historian at Northwestern, one of our favorite authors, has written about the sort of revolution of tinkerers. And that's actually my family history. My family, as far back as we can go, was carpenters out of Chesterfield in the north of England. They made screws for a hundred years starting in the mid-19th century in Sheffield. They would employ a couple of people at any one time. Maybe no more than eight, maybe as few as two. They probably initially polished blades of knives and eventually ended up making specialized screws. But very, very small scale. There was not a lot of formal education in the family or among the workforce, but it was all kind of relationships with other manufacturers. It was being plugged into that community. Alfred Marshall talked about these clusters and cities of regional entrepreneurship. That's exactly where I'm from. So, yes, I think that was a really key breakthrough: having the institutions, the politics, and the social pressure that could sustain that kind of economic initiative.In the middle of the Industrial Revolution, late 1800s, what were the changes that we saw that made sure the gains from this economic progress were widely shared?If we're talking about the United States, of course, the key moment is the mechanization of agriculture, particularly across the West. So people left their farms in Nebraska or somewhere and moved to Chicago to work for McCormick, making the reapers that allowed more people to leave their farms. So you needed a couple of things in that. One was, of course, better sanitation and basic infrastructure in the big cities. Chicago grew from nothing to be one of the largest cities in the world in period of about a decade and a half. That requires infrastructure that comes from local government. And then there's the key piece, Jim, which is education. There was what's known as a “high school movement.” Again, very local. I don't think the national government knew much about it until it was upon them. [It was] pushing to educate more people in basic literacy and numeracy and to be better workers. At the same time, we did have from the national government, of course particularly in the context of the Civil War, the land grant universities, of which MIT is very proudly one of by the way — one of the only two that became private for various reasons. But we were initially founded to support the manufacturing arts in Massachusetts. That was a state initiative, but it was made possible by a funding arrangement, a land swap, actually, with the federal government.Ensuring progress is widely sharedThe kind of interventions which you've already mentioned — education and infrastructure — these seem like very non-controversial, public-good kinds of things. How do those kinds of interventions translate into the 2020s and 2030s in advanced countries, including the United States? Do we have need to do something different than those?Well, I think we should do those, particularly education, better and more and update it really quickly. I think people are going to agree on that in principle; there may be argument about how exactly you do that. I do think there are three things that should be on the table for potential serious discussion and even potential bipartisan agreement. The first is what Jaron Lanier calls “data dignity,” which is basically [that] you and I should own the data that we produce. This is an extension of private property rights from the right of the political spectrum. The left would probably have other terminology for it. But what's basically happening, and the value that's being created in these large language models, is those models are taking data that they find for free — actually, it's not really free, but it's not well protected on the internet, digital data — and they're using that to train these very large models. And it's that training process that's generating, already and will train even more, huge value and potential monopoly power for incumbents there. So Jaron's point is, that's not right. Let's have a proper organization and recognition of proper rights, and you can pay for it. And then it also gives consumers the ability to bargain potentially with these large monopolies to get developers some technologies rather than other technologies.The second thing is surveillance. I think everyone on the right and the left should be very uncomfortable with where we are on surveillance, Jim, where we've slipped into already on surveillance, and also where AI is going to take us. Shoshana Zuboff has a great book, The Age of Surveillance Capitalism on exactly this, going through where we are in the workplace and where we are in in our society. And then of course there's China and what they're doing in terms of surveillance, which I'm sure we're not going to do. In fact, I think the next division of the world may be between the low-surveillance or safeguarded-surveillance places, which I hope will include the US, and the high-surveillance places, which will be pretty much authoritarian places, I would suggest. That's a really different approach to the technology of how you interact with workers, citizens, everybody in all their various roles in life.The third one we're probably not going to agree on right away, but I do want us to have some serious discussion about it, is corporate taxation. Kim Clausing from UCLA, a former senior Treasury person, points out that we do have a graduated corporate tax system in the US but bigger companies pay less. Smaller companies' effective tax rate is higher than bigger companies because they move their profits around the globe. That's not fair and that's not right. And she proposes that we tax mega profits above $10 billion, for example, at a higher rate than we tax smaller profits to give the big companies that are very successful, very profitable an incentive to make themselves smaller. The reason I like Kim's proposal is I want competition, not just between companies directly in terms of what they're offering, but also between business models and mental models. And I think what we're getting too much from Microsoft and Google and the others who are likely to become the big players is machine intelligence, as they call it, which basically means replacing people as much as possible. We argue for machine usefulness, which is also, by the way, a strong tradition in computer science — it's not the ascendant tradition or ascendant idea right now — that is, focusing technology on making humans more effective. Like this Zoom call is making us more effective. We didn't have to get ourselves in the same room. We are able to leverage our time. We're able to organize our lives differently.Find those kinds of opportunities, particularly for lower-income workers. We are not getting that right now because we lack competition, I think, in the development of these models. Jim, too much. You joked at the beginning that the Silicon Valley is the only optimist. Maybe that's true, but they're the optimists that matter because they're the ones who control the development of the technology. Almost all those strings are in their hands right now, and you need to give them an incentive to give up some of that. I'm sure we can agree on the fact that having the government break things up, or the courts, is going to be a big mess and not where we want to go.What about Big Tech?Does it suggest caution, as far as worrying about corporate size or breaking up these companies, that these big advances, which could revolutionize the economy, are coming from the very companies you're worried about and are interested in breaking up? Doesn't it argue that they're kind of doing something right, if that's the source of this great innovation, which may be one of the biggest innovations of our life?Yes, potentially. We're trying to be modest and we're trying to be careful here, Jim. We're saying if you make these really big profits, you pay the higher tax rate. And then you have a conversation with your shareholders about, do we really need to be so big? When Standard Oil was broken up before World War I, it was broken into 25 or 26 pieces, Rockefeller became richer. That created value for shareholders. More competition was also good, I think we can say safely at this distance, it was good for consumers. Competition for consumers is something I think we should always attempt to pursue, but competition in mental models, competition for ideas, getting more plurality of ideas out there in the tech sphere. I think that's really important, Jim. While I believe this can be — and we wrote the book in part because we believe it is — a very big moment in sort of technological choices that we humans have made and will continue to make. This is a big one. But if it's all in the hands of a few people, we're less likely to get better outcomes than if it's in the hands of hundreds of people or thousands of people. More competition for ideas, more competition to develop ways to make machines and algorithms useful to people. That's our focus.You have OpenAI, a company which was invested in by Microsoft, and Google/Alphabet is working on their version. And I think now you have Facebook and Amazon devoting more resources. Elon Musk is talking about creating his own version. Plus you have a lot of companies taking those models and doing things with them. It seems like there's a lot of things going on a lot of ferment. It doesn't to me seem like this kind of staid business environment where you have one or two companies doing something. It seems like a fairly vibrant innovation ecology right now.Of course, if you're right, Jim, then nobody is going to make mega excess profits, and then we don't have to worry about the tax rate proposal that I made. My proposal, or Kim's proposal, would have bite only if there are a couple of very big winners that make hundreds of billions of dollars. I'm not a computer scientist, I'm an economist, but it seems…Right, but it seems like those mega profits might be competed away, so I'd be careful about right now breaking up Google into eight Googlettes.Fine. I'm not trying to break them up. I'm saying give them a tax system so they confront that incentive and they can discuss it with their shareholders. The people who follow this closely, my computer science colleagues at MIT, for example, feel that Microsoft and OpenAI are in the lead by some distance. Google, which is working very closely with Anthropic, which broke away from OpenAI, is probably a either a close second or a slightly distant second. It's sort of like Manchester City versus the rest of the Premier League right now. But the others you mentioned, Facebook, Amazon, are some years behind. And years are a big deal here. Elon Musk, of course, proposed a pause in AI development and then suggested he get to launch his own AI business — I suppose to take advantage of the pause.That's a little suspicious.There's not going to be a pause. And there's not going to be a pause in part because we know that China is developing AI capabilities. While I am not arguing for confrontation with China over this or other things necessarily, we do have to be cognizant that there's a major national security dimension to this technology. And it is not in the interest of the United States to fall behind anyone. And I'm sure the Chinese are having the same discussion. That's going to keep us going pretty much full speed. And I think is also the case that many corporate executives can see this is a potential winner-take-all. And on the applications, the thinking there is that we're going to be talking very soon about a sort of supply chain where you have these fundamental large language model, the [General-Purpose Technology] type at the bottom, and then people can build applications on top of them. Which would make a lot of sense, right? You can focus on healthcare, you can focus on finance, but you'll be choosing between, right now it looks like, one or two of the large language models. Which does suggest really big upstream profits for those fundamental suppliers, just like how Microsoft has been making money since the mid-1980s, really.Can we really nudge transformational technology?With an important technology which will evolve in directions we can't predict, can we really nudge it with a little bit of tax policy, equalizing capital labor rates? Can we really nudge it in the kind of direction that we might want? If generative AI or machine learning more broadly is as significant as some people say, including folks at MIT and Stanford, I just wonder if we're really operating at the margins here. That the technology is going to be what the technology is. And maybe you make sure we can retrain people, and we can change education, and maybe we need to worry a bit about taxing this profit away if you're worried about corporate power. But as far as how the technology interacts with the workplace and the tasks people do, can we really influence it that much?I think that's the big question of the day, Jim. Absolutely. This is a book, not a policy memo, because we feel that the bigger issue is to have the discussion. To confront the question, as you pose it, and to discuss, what do we as a society want? How do we develop the technology that we need? Are we solving the problems that we really want to solve? Historically, of course, we didn't have many of those conversations. But we weren't as rich then as we are now. Hopefully we're more aware of our history now and more aware of the impact of these choice points. And so it's exactly to have that discussion and to say, if this is as big as people say, how are we going to move it in various directions?I like, as you know, to propose specific policy. I do think, particularly in Washington, it's the specifics that people want to seize. “What do we mean by surveillance? What do we mean by s safeguards over surveillance? How could you operationalize protections against excessive surveillance? By whom? By employers, by the police, by companies from whom you buy stuff? From your local government?” That conversation still needs to be had. And it's a very big, broad conversation. So let's have it quickly, because the technology is moving very quickly.What does the more recent history of concerns about technology, what lessons should we draw? I think of, I think of nuclear technology, which there are lots of concerns and we pass lots of rules. We basically paused that technology. And now we're sitting here in the, you know, in the 2020s worried about climate change. That, to me, is a recent powerful example of the dangers of trying to slow a technology, delay a technology that may evolve in ways you don't understand, but also can solve problems that we don't understand. It's, to me, are the history of least in the United States of technology over the past half century has been one of being overly cautious, not pedal to the metal gungho, you know, you know, let's, let's just keep going as fast as possible.As I think you may remember, Jim, I'm a big advocate for more science spending and more innovation in some fundamental sense across the whole economy because I think that generates prosperity and jobs. In my previous book, Jump-Starting America, we went through the nuclear history, as you flag. And I think the key thing there is at the beginning of that industry, right after World War II, there was over-optimism on the part of the engineers. The Atomic Energy Commission chair famously promised free electricity, and there was very little discussion about safety. And people who raised the issues of safety were kind of shunted to one side with the result that Three Mile Island a little bit and Chernobyl a lot was a big shock to public consciousness about the technology. I'm in favor of more innovation…I wonder if we've overlearned that lesson, you know? I think we may have overlearned it.Yes. I think that's quite possibly right. And we are not calling for an end to innovation on AI just because somebody made a movie in which AI takes over the world. Not at all. What we're saying is there are choices and you can either go more towards replacing people, that's automation, and more towards new task creation, that's machine usefulness. And that's not a new thing. That's a very old, thousand-year or maybe longer tension we've had in the history of innovations and how we manage them. And we have an opportunity now, because we're a more conscious, aware, and richer society, to try and pull ourselves through various means — and it might not be tax policy, I'll grant you that, but through various means — towards what we want. And I think what we want is more good jobs. We always want more good jobs, Jim. And we always want to produce useful things. We don't want just to replace people for the sake of replacement.Evaluating the Biden administration's science policySince you brought it up, I'm going to take the opportunity to ask you a final question about some of your other work about trying to create technology hubs across America. It seems like those ideas have to some degree made their way into policy during the Biden administration. What do you think of its efforts on trying to spend more on R&D and trying to spread that spending across America and trying to make sure it's not just Austin and Boston and New York and San Francisco and LA as areas of great innovation?In the Chips and Science Act, there's two parts: chips and science. The part that we are really advocating for is the science part. And it's exactly what you said, Jim, which is you spend more on science, spread it around the country. There are a lot of people in this country who are innovative, want to be innovative. There are some really good resources, private sector, but also public sector, public-sector universities, for example, in almost every state where you could have more innovation in some basic knowledge-creation sense. And that can become commercialized, that can become private initiative, that can generate jobs. That's what we are supporting. And I think the Science Act absolutely did internalize that. In part, because people learned some hard lessons during COVID, for example.The CHIPS Act is not what we were advocating for. And that's going to be really interesting to see how that plays out. That's more, I would say, conventional, somewhat old-fashioned industrial policy: Pick a sector, back a sector, invest in the sector from the public sector perspective. Chips are of course a really important sector, and the discussion of AI is absolutely part about that. And of course we're also worried, in part because of COVID but also because of the rise of China, about the security of supply chains, including chips that are produced in, let's say, parts of Asia. I think there are some grounds for that. There's also some issues, how much does it cost to build a state-of-the-art fab and operate it in the US versus Taiwan or South Korea, or even China for that matter? Those issues need to be confronted and measured. I think it's good that we're having a go. I'm a big believer in more science, more science spending, more responsible deployment of it and more discussion of how to do that. The chips industrial policy, we'll see. I hope something like this works. It would be quite interesting to pursue further, but we have had some bumps in those roads before. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

In this episode, Scott shares a market update for Disney, PacWest, and Google/Alphabet.

In this episode, Scott shares a market update for Disney, PacWest, and Google/Alphabet.

The race to create advanced AI is becoming a suicide race. That's part of the thinking behind the open letter from the Future of Life Institute which "calls on all AI labs to immediately pause for at least six months the training of AI systems more powerful than GPT-4".In this episode, our guest, Jaan Tallinn, explains why he sees this pause as a particularly important initiative.In the 1990s and 20-noughts, Jaan led much of the software engineering for the file-sharing application Kazaa and the online communications tool Skype. He is also known as one of the earliest investors in DeepMind, before they were acquired by Google.More recently, Jaan has been a prominent advocate for study of existential risks, including the risks from artificial superintelligence. He helped set up the Centre for the Study of Existential Risk (CSER) in 2012 and the Future of Life Institute (FLI) in 2014.Follow-up reading:https://futureoflife.org/open-letter/pause-giant-ai-experiments/https://www.cser.ac.uk/https://en.wikipedia.org/wiki/Jaan_TallinnTopics addressed in this episode include:*) The differences between CSER and FLI*) Do the probabilities for the occurrence of different existential risks vary by orders of magnitude?*) The principle that "arguments screen authority"*) The possibility that GPT-6 will be built, not by humans, but by GPT-5*) Growing public concern, all over the world, that the fate of all humanity is, in effect, being decided by the actions of just a small number of people in AI labs*) Two reasons why FLI recently changed its approach to AI risk*) The AI safety conference in 2015 in Puerto Rico was initially viewed as a massive success, but it has had little lasting impact*) Uncertainty about a potential cataclysmic event doesn't entitle people to conclude it won't happen any time soon*) The argument that LLMs (Large Language Models) are an "off ramp" rather than being on the road to AGI*) Why the duration of 6 months was selected for the proposed pause*) The "What about China?" objection to the pause*) Potential concrete steps that could take place during the pause*) The FLI document "Policymaking in the pause"*) The article by Luke Muehlhauser of Open Philanthropy, "12 tentative ideas for US AI policy"*) The "summon and tame" way of thinking about the creation of LLMs - and the risk that minds summoned in this way won't be able to be tamed*) Scenarios in which the pause might be ignored by various entities, such as authoritarian regimes, organised crime, rogue corporations, and extraordinary individuals such as Elon Musk and John Carmack*) A meta-principle for deciding which types of AI research should be paused*) 100 million dollar projects become even harder when they are illegal*) The case for requiring the pre-registration of largescale mind-summoning experiments*) A possible 10^25 limit on the number of FLOPs (Floating Point Operations) an AI model can spend*) The reactions by AI lab leaders to the widescale public response to GPT-4 and to the pause letter*) Even Sundar Pichai, CEO of Google/Alphabet, has called for government intervention regarding AI*) The hardware overhang complication with the pause*) Not letting "the perfect" be "the enemy of the good"*) Elon Musk's involvement with FLI and with the pause letter*) "Humanity now has cancer"Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

On this episode of The Rate Guy Podcast we lay out our current take on the Fed's situation, discuss the widespread layoffs and the upcoming jobs report.    For graphs referenced check out our Newsletter  ZipRecruiter conducted a survey of recently laid off workers (https://www.ziprecruiter.com/blog/survey-of-recently-laid-off-workers/).  Here's a list of some publicly announced layoffs (https://mondo.com/insights/mass-layoffs-in-2022-whats-next-for-employees/) - Roku layoffs: 6% of workforce laid off (March, 2023) - Lucid Group layoffs: 18% of workforce laid off (March, 2023) - Meta layoffs: 13% of workforce laid off (March, 2023) - Twitter layoffs: 10% of workforce laid off (February, 2023) - Twillo layoffs: 17% of workforce laid off (February, 2023) - Roomba layoffs: 7% of workforce laid off (February, 2023) - Disney layoffs: 3% of workforce laid off (February, 2023) - Zoom layoffs: 15% of workforce laid off (February, 2023) - Dell layoffs: 5% of workforce laid off (February, 2023) - HubSpot layoffs: 7% of workforce laid off (February, 2023) - PayPal layoffs: 7% of workforce laid off (February, 2023) - IBM layoffs: 1.5% of workforce laid off (January, 2023) - Gemini layoffs: 10% of workforce laid off (January, 2023) - Yankee Candle layoffs: 13% of office workers laid off (January, 2023) - Spotify layoffs: 6% of workforce laid off (January, 2023) - Google (Alphabet) layoffs: 6% of workforce laid off (January, 2023) - Microsoft layoffs: 4-5% of workforce laid off (January, 2023) - Amazon layoffs: 1-2% of workforce laid off (January, 2023) - Carta layoffs: 10% of workforce laid off (January, 2023) - Coinbase layoffs: 20% of workforce laid off (January, 2023) - DirecTV layoffs: 5-6% of workforce laid off (January, 2023) - Salesforce layoffs: 10% of workforce laid off (January, 2023) - Vimeo layoffs: 11% of workforce laid off (January, 2023) - Goldman Sachs layoffs: 8% of workforce laid off (January, 2023) - Stitch Fix layoffs: 20% of workforce laid off (January, 2023)  

Superbowl mania - what we think (not that anyone cares) China balloons, market bubbles and plenty of frothy convo. An update on the Weekly Stock pick's game and the current Closest to the Pin PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm Up - Superbowl teams are set - Eagles and Kansas City (spread +1.5 KC) - Markets have a very amateurish feel to them - crypto patterns of intraday rush and bust --- Meme Stocks moving again - Seems that the Church of Whats Hot Now - back in Biz (AI names) -- Latest Google, Baidu and Microsoft all announced AI integration today (catnip for traders) - There is a Sushi Terrorist on the loose - Hustle Bros are latching on and sucking your wallets - A new FED word to watch Market Update - Blowout Jobs report - what in tar-nation? - Another fraud uncovered - India - State of the Union Speech - going after the wealthy... - Powell speaks - Whipsaw Golf Fitting this week.. - Pretty interesting technology - Callaway Paradym X MARKETS! - The S&P 500 index rose 1.6% last week with the communication services and technology sectors leading a broad climb amid better-than-expected quarterly results from some companies and a slower pace of rate increases from the Federal Open Market Committee. - The market benchmark ended the week at 4,136.48, up from last Friday's closing level of 4,070.56. The index is now up 7.7% for the year to date but down 8.1% from a year ago. - This feels like an attempt to move off bottom like everyone in the pool from March/April 2020. (But this is a different time) Fed Speak - There was irrational exuberance - Transitory inflation - Green shoots - quantitative easing - not thinking about thinking about thinking about... - Average inflation targeting - balance outlook - And Now, introducing the work - disinflation... Powell used dozens of times in last speeches... Earnings Update - The slowdown in YoY revenue growth... Tesla: slowest since 2020 Amazon: 3rd slowest in company history Microsoft: slowest since 2017 Netflix: slowest in company history Google: 3rd slowest in company history Facebook: 2nd slowest in company history Apple: slowest since 2016 - BP on Tuesday reported a record profit of $28 billion for 2022 while boosting its dividend in a sign of confidence as it sharply raised overall spending plans and scaled back ambitions to reduce oil and gas output by 2030. MEME Stocks Moving again - BBBY (looking at potential bankruptcy) up 100%  today. - AI Stocks on the move - KOSS, GME, AMC all rocking....  Fed decision  and Employment Report? -- Odds rise after the the BLS employment report - 500k + new hires (estimates were for +250k) - labor participation rate rising - 3.4% unemployment rate (lowest since 1969) - USD jumps, Rates turn higher - Thoughts? State of the Union Speech - CNBC reports President Biden will call for quadrupling the tax on stock buybacks and a 'billionaire minimum tax' in his State of the Union speech tonight Earnings  and corporate -Amazon, Google, Apple -all had questionable earnings reports - Apple showed worst revenue groth in years and years - stock came off then buyers stepped in for some reason - Amazon was down as AWS missed - Google (Alphabet) just bad all the way around. - FORD - ugly outlook, loss and not at all what GM looked like. - Dell slashing 6,000 jobs (5% of workforce) ----!!! Company up initially on the news, then falls 3% during session ------ ALERT, Job cuts may no longer be seen as a good thing (Investors were rewarding companies) - HP cutting 6,000 jobs - Chipotle - Misses on earnings (top and bottom) - guidance soft (slowing growth/comps)

This is a funky looking recession that's looming so analysts are throwing around terms like "white collar recession" or "richsession" to describe it.But no one is breaking down what it means for your retirement plans!That's why we're breaking down on the latest edition of Not Your Average Insights!Join us to talk about the latest economic insights of the day like:- Why a "white collar recession" and a regular recession- What the Google/Alphabet job cuts say about how they invest- How the Jacksonville unemployment numbers have changed recentlyThis is a wide open discussion on what is happening right now.  Bring your opinions and let's get an insightful conversation going!Don't miss this one.--------------------------------------------------------------------------------------------------------

In this episode Scott Becker discusses Google announcing job cuts of 12,000 people and the current state of the advertisement industry.

Brin and Page back in the fold? Is Alphabet behind the eight ball on AI? Always grow, never be complacent. Goldman, not behaving like Goldman. SBF and the Clintons. More Davos truth bombs.

En este episodio te comparto dos maneras diametralmente opuestas de enfrentar riesgos, tomar decisiones y hacer negocios: apostar la casa y apostar el tenedor. ¿Con cuál te identificas? ¿Has tomado decisiones de una o de otra manera? ¿Te funcionaron? Mencionado en el episodio: -Resultados trimestrales de Meta: https://investor.fb.com/investor-news/press-release-details/2022/Meta-Reports-Third-Quarter-2022-Results/default.aspx-A Peek Inside the Moonshot Factory Operating Manual: https://blog.x.company/a-peek-inside-the-moonshot-factory-operating-manual-f5c33c9ab4d7-La historia de Virgin Atlantic: https://www.travelandleisure.com/travel-tips/celebrity-travel/how-richard-branson-started-virgin-atlanticInscríbete a mi boletín en http://miguelgomez.link/correoEncuentra Dinero en Español en tu plataforma favorita: http://linktr.ee/miguelgomezNo olvides dejarme tu reseña y tus estrellas en iTunes y Spotify. Música del episodio: ~aether theories~ by Vidian (c) copyright 2018 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/Vidian/57398 Ft: Gurdonark, White-throated Sparrow

Take a Network Break! This week we discuss a trio of stories at the intersection of tech and global political power struggles. Plus, startup Versa Networks lands $120 million investment in a pre-IPO round, and tech companies including Juniper Networks, Intel, and Google/Alphabet release financial results.

Take a Network Break! This week we discuss a trio of stories at the intersection of tech and global political power struggles. Plus, startup Versa Networks lands $120 million investment in a pre-IPO round, and tech companies including Juniper Networks, Intel, and Google/Alphabet release financial results. The post Network Break 405: Tech And Geopolitics Collide; Juniper Posts Record Q3 Results appeared first on Packet Pushers.

Take a Network Break! This week we discuss a trio of stories at the intersection of tech and global political power struggles. Plus, startup Versa Networks lands $120 million investment in a pre-IPO round, and tech companies including Juniper Networks, Intel, and Google/Alphabet release financial results.

Take a Network Break! This week we discuss a trio of stories at the intersection of tech and global political power struggles. Plus, startup Versa Networks lands $120 million investment in a pre-IPO round, and tech companies including Juniper Networks, Intel, and Google/Alphabet release financial results. The post Network Break 405: Tech And Geopolitics Collide; Juniper Posts Record Q3 Results appeared first on Packet Pushers.

Take a Network Break! This week we discuss a trio of stories at the intersection of tech and global political power struggles. Plus, startup Versa Networks lands $120 million investment in a pre-IPO round, and tech companies including Juniper Networks, Intel, and Google/Alphabet release financial results.

Take a Network Break! This week we discuss a trio of stories at the intersection of tech and global political power struggles. Plus, startup Versa Networks lands $120 million investment in a pre-IPO round, and tech companies including Juniper Networks, Intel, and Google/Alphabet release financial results. The post Network Break 405: Tech And Geopolitics Collide; Juniper Posts Record Q3 Results appeared first on Packet Pushers.

On Tuesday's Mark Levin Show, no one has bulldozed the D.C bureaucracy like Donald Trump did and that is why they weaponized the federal government to destroy him. Yet the Wall Street Journal is now reporting that thousands of government officials have profited from investments that they were personally and professionally involved in. Then, additional inquiry by the WSJ revealed that there were considerable investments made prior to the government scrutinizing oil and gas companies, aerospace and defense companies, and big technology companies such as Google (Alphabet) and Facebook (Meta). Meanwhile, election interference from fraudulently changing laws by circumventing the US Constitution and the State's Constitution suffered a blow when the US Supreme Court vacated an Appellate Court decision to allow undated mail-in ballots to be counted. Barring any future decisions, SCOTUS today rejected the undated ballots from being accepted in future elections. Afterward, Dr. Oz joins the show with an update on his campaign for Senate. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Adrian Aoun is the founder and CEO of Forward, an AI-based healthcare system combining world-class private doctors with new technology to enable proactive, data-driven primary care.Most recently, he was the head of Special Projects for the CEO of Google/Alphabet, where he founded one of the Alphabet companies Sidewalk Labs. Adrian arrived at Google upon the acquisition of his AI startup Wavii and spent his first year at Google helping to create and build their AI division.Additionally, Adrian is an active angel investor and advisor to a number of technology startups and funds.SUBSCRIBE TO OUR NEWSLETTER & STAY UPDATED > http://bit.ly/tfh-newsletterFOLLOW TFH ON INSTAGRAM > http://www.instagram.com/thefounderhourFOLLOW TFH ON TWITTER > http://www.twitter.com/thefounderhourINTERESTED IN BECOMING A SPONSOR? EMAIL US > partnerships@thefounderhour.com