Tony Stubblebine is the CEO of Medium. He joins Big Technology to discuss the future of writing in the age of AI and how platforms should handle AI-generated content. Tune in to hear fresh data on ChatGPT vs. Google referral quality, Gemini’s impact on click-throughs, and Medium’s anti-spam approach. We also cover the RSL licensing push, Cloudflare blocking, creator payouts, and Medium’s writing app. Hit play for a candid operator’s view of what survives—and thrives—as AI floods the web. Chapters: 00:00 Ope ...

Hey everyone, this article, tens of thousands of white collar jobs are disappearing as AI starts to bite. It's one of the most irresponsible pieces of journalism I've seen on artificial intelligence yet. It is an atrocious article.It suggests that AI is taking tens of thousands of white collar jobs. It's going to make so many people fear that their jobs are about to be automated by AI and it's just completely unsupported by anything in the body. This headline is unsupported.Uh, and I think frankly it was im ...

What next steps do AI agents need to take to have a chance at widespread adoption. Let's talk about it with Octa President and Chief Operating Officer Eric Keller, who joins us to talk about it today in a conversation brought to you by Octa. Eric, great to see you.Welcome to the show, >> Alex. Thanks. Thanks for having me on.>> Great to have you here. you know a lot about where AI agents are today, how far they have to go um and what the necessary ingredients are to get them to the state that I think the en ...

from memory. It's important to understand that the way the brain stores memory is very different from the way we think of memory being stored in the digital world. >> This is important.>> Yeah, I think this is important to understand that um memory as it's stored in the digital world really the bits have a physical manifestation um that on some level you could you interrogate them, right. When you when you store a bit it's a spin state or you know uh or something like that. Um and so the reading of those me ...

Research Focus Areas - Google Research explores cancer treatment using LLMs to generate hypotheses validated in living cells [1] - Google Research is working on Quantum computing, with a "13,000x" result [1] - Google Research is involved in long-term research projects like Earth AI and flood forecasting [1] Research & Product Relationship - The discussion covers the relationship between research and product development at Google [1] - The research product loop turns research papers into products [1] - The conversation touches on the balance between breakthrough research and innovation [1] AI & Researchers - The podcast explores whether AI can automate a researcher's job [1] - Google believes AI will lead to more, not fewer, researchers [1] - Google is attracting researchers across various disciplines beyond GenAI [1]

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) OpenAI's Atlas browser is here 2) Atlas plays 2048 3) The danger of AI browser prompt injection 4) Will Atlas be around in five years? 5) Why Dave's Hot Chicken is the world's top app 6) Amazon has plans to automate hundreds of thousands of jobs 7) OpenAI is paying investment bankers to train its models 8) If we automate all the work, who will be left to buy stuff? 9) Meta cuts 100 AI jobs 10) Reddit fools AI cra ...

AI in Business - AI is a massive revolution that will enhance human performance rather than replace humans [2][3] - AI applications can be divided into two categories: straightforward cases like customer service and more complex cases requiring rethinking of processes [3][4] - Implementing AI requires effort due to the probabilistic nature of AI systems compared to deterministic corporate systems [6][7] - Globant believes that different AI models will have different specialties, and the key is to understand which model best solves a specific problem [9] Globant's Approach - Globant focuses on applying AI to change how companies operate, integrating 140+ models into its platforms [10][11] - Globant's platform, Globant Enterprise AI, connects to various corporate information systems to create agentic workflows for solving specific problems [12] - Globant offers a simple approach to AI adoption, emphasizing security, accessibility, accountability, traceability, and cost control [14] - Globant is shifting its pricing model to a consumption-based model, charging per supervised tokens, similar to how OpenAI charges [40][41] Use Cases - E-commerce: Automating customer service for issues like broken items by using AI to analyze pictures and suggest solutions [16][17][18] - Procurement: Automating the procurement process for a big energy company, shortening the time from needing a part to delivering it [18][19][20] - Software Development: Using Koda, Globant's coding agent, to help companies create new software and migrate from old software, reducing time and cost [20][21] Challenges and Future - Human supervision is crucial for AI systems to ensure accuracy and prevent hallucinations [22][23] - Generating the right context is the biggest challenge in implementing AI in an enterprise-class manner [24][25] - The next generation of AI is AI supervised by humans, with AI bots producing software and humans ensuring quality [36][37] - The speed of AI adoption depends on how companies like Globant can simplify the process for non-tech-savvy customers [48][49]

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Sam Altman says ChatGPT will start to have erotic chats with interested adults 2) Also, more sycophancy? 3) Is sycophancy the lost love language 4) Is erotic ChatGPT good for OpenAI’s business? 5) Is erotic ChatGPT a sign that AGI is actually far away? 6) OpenAI’s latest business metrics revealed 7) Google’s AI contributes to cancer discovery 8) Anthropic’s Jack Clark on AI becoming self aware 9) Is Zuck poaching ...

Panos Panay is Amazon’s head of Devices & Services. Panay returns to Big Technology Podcast to discuss Alexa Plus's delayed rollout, when the assistant is releasing to everyone, and the challenge of building these products. Tune in for specifics on compatibility, usage spikes, and what “day one” means when you have hundreds of millions of customers. We also cover the future of computing, from phones to wearables and home devices. Hit play for a grounded look at what’s real now—and what’s coming next. --- Wa ...

AI Adoption and Impact - Networks aggressively leans into AI to gain a competitive edge in a crowded industry, viewing it as essential for growth and innovation [1] - AI is expected to create jobs by increasing developer efficiency and meeting unmet demand, rather than simply cutting costs [1] - AI usage is progressing from augmentation (refining existing processes) to automation (supplementing or replacing tasks), with examples including customer service and deal desk automation [1][2][3][4] - Networks monitors AI usage to ensure responsible and efficient application, addressing concerns about wasteful spending [32] Building vs Buying AI Solutions - Networks prioritizes building AI solutions in-house, leveraging APIs and cloud code, rather than solely relying on off-the-shelf products or outsourcing AI development [8][9][10] - The company believes that internal AI development is critical for long-term innovation and differentiation [8] - A key challenge with AI is ensuring alignment and proper scoping, as even mediocre developers can move 10x faster, potentially leading to misdirected efforts [11][12][13][14][15] Cybersecurity Implications of AI - AI introduces a new threat vector and expands the attack surface for cyber security, requiring CISOs to reassess security strategies [35][37] - AI-powered voice spoofing poses a significant risk, potentially enabling attackers to impersonate executives and extract sensitive information [40][42] - The sophistication and volume of attacks have increased due to generative AI, making phishing emails more convincing and requiring greater vigilance [57][58][59] - AI models can inadvertently expose sensitive data by granting users access to information they have permissions for but shouldn't necessarily see [63] Talent and Skills in the Age of AI - AI is expected to amplify the capabilities of good developers, making them even more valuable, while potentially exacerbating the shortcomings of average developers [19][20][21] - The company emphasizes the importance of thorough planning, customer understanding, and well-defined specifications before implementing AI-driven development [14][15]