✨ The Week’s News in Artificial Intelligence
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AI Awareness: Updates That Matter ✨️
Why Smarter AI Models Could Drive Up Compute Prices 10x | Dwarkesh Patel | YouTube.com | August 3, 2026
Cutting through the hype around next-generation model scaling, Dwarkesh Patel examines why advances in smarter AI models could force the cost of compute to skyrocket by an order of magnitude. By unpacking his published analysis, Patel details the hidden pressures businesses and developers may soon face as demand for AI infrastructure grows.

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News 📰️
1.) Top 5 Most Clicked News Articles From Last Week
A.) Introducing Claude Opus 5 | Anthropic.com | July 24, 2026
Anthropic released Claude Opus 5, a large language model that approaches the intelligence of Claude Fable 5 at half the price, with improved performance on benchmarks like Frontier-Bench and GDPval-AA. Priced at $5 per million input tokens and $25 per million output tokens, Opus 5 leads in coding and knowledge work but trails Mythos 5 in cybersecurity tasks. The model introduces enhanced safeguards and offers a Fast mode at 2.5x speed.
B.) Multimodal AI Just Got Real | TheNeuronDaily.com | July 27, 2026
Black Forest Labs introduced FLUX 3, a foundation model trained across video, audio, images, and robotics, capable of generating 20-second multilingual video clips with native audio and powering robots for real-world tasks. Early internal results favored FLUX 3 over competitors like Runway Gen-4.5 and Luma Ray 3.2 in benchmarks. The architecture aims to unify perception and action, with broader implications for factory automation and creative applications.
C.) Learn 10X Faster In 10 Minutes | Tina Huang | YouTube.com | July 26, 2026
Showcasing step-by-step strategies to accelerate learning, Tina Huang walks viewers through practical frameworks for upskilling efficiently. Drawing on AI tools and productivity systems, she reveals how targeted workflows and optimized memory techniques can create compounding advantages for professionals and students alike.
D.) Our Position on Open-Weights Models | Anthropic.com | July 27, 2026
Anthropic CEO Dario Amodei states the company does not support a ban on open-weights AI models, countering recent speculation. Instead, Amodei advocates for restricting chip and equipment sales to authoritarian regimes, curbing industrial-scale distillation operations, and mandating safety testing for capable models regardless of openness or country of origin.
E.) ChatGPT Work + Codex Tutorial: My Complete System At OpenAI | Jason Liu | Peter Yang | YouTube.com | July 26, 2026
Showcasing an inside look at daily AI integration, Peter Yang sits down with Jason Liu to unpack the disciplined workflow powering OpenAI’s Codex team. With first-hand advice from the author of Codex’s official guidebook, the discussion spotlights how AI tools reshape productivity, from orchestrating Slack threads to automating long-horizon tasks.
August 3, 2026 📅️
2.) The Best AI Short Film You’ll See Today (Seedance 2.5) | Theoretically Media | YouTube.com | August 3, 2026
Showcasing the uncanny possibilities of Dreamina Seedance 2.5, Tim Simmons walks viewers through a noir thriller crafted entirely by AI, right down to the facial micro-expressions. Rather than fixating on technical glitches, Simmons highlights how the performances themselves command genuine attention, marking a leap forward for synthetic filmmaking.
3.) Why Smarter AI Models Could Drive Up Compute Prices 10x | Dwarkesh Patel | YouTube.com | August 3, 2026
Cutting through the hype around next-generation model scaling, Dwarkesh Patel examines why advances in smarter AI models could force the cost of compute to skyrocket by an order of magnitude. By unpacking his published analysis, Patel details the hidden pressures businesses and developers may soon face as demand for AI infrastructure grows.
4.) Leopold Blows Up, OpenAI Drastically Cuts Prices, Microsoft’s Best Day | Alex Kantrowitz | YouTube.com | August 3, 2026
In this breaking episode, Alex Kantrowitz walks through the fallout from Leopold Aschenbrenner’s hedge fund implosion, OpenAI’s industry-defining price slashing, and Microsoft’s record-setting day on Wall Street. The discussion weaves in the ripple effects of effective altruism on risk-taking, shifting AI economics, and how leading tech giants are recalibrating after a wave of market and product shocks.
5.) How Much Water AI Data Centers Actually Use. And What Can Be Done About It. — With Christophe Beck | Alex Kantrowitz | YouTube.com | August 3, 2026
Analytical framing the environmental footprint of next-generation computing, Alex Kantrowitz examines the real resource toll of AI data centers with guest expertise from Christophe Beck. The discussion pinpoints how water and energy demands are measured, why standard cooling solutions fall short, and highlights emerging strategies to cut resource consumption at scale.
6.) Another DeepSeek Moment Has Arrived | Two Minute Papers | YouTube.com | August 3, 2026
Analysing the arrival of DeepSeek v4 Flash 0731, Károly Zsolnai-Fehér highlights the newest upgrades packed into DeepSeek’s open AI models. From API advancements to implications for GPU cloud experimentation, he contextualizes where these innovations fit into the evolving machine learning landscape.
7.) GPU Coding: PyTorch, torch.compile, CUDA, Triton | Build Your Own LLM Workshop #5 [Refreshed] | Justin Angel | YouTube.com | August 3, 2026
Cutting through the hype around optimizing neural network workloads, Justin Angel examines why writing GPU-performant code is essential for building scalable LLMs. Unpacking techniques from PyTorch and torch.compile to Triton and CUDA, he maps how design choices affect efficiency, fusing theory with hands-on benchmarking and practical tradeoffs.
August 2, 2026 📅️
8.) MCP Apps: Extending The Frontier — Ido Salomon & Liad Yosef | AI Engineer | YouTube.com | August 2, 2026
Showcasing a new leap in chat and coding assistant interfaces, Liad Yosef reveals how MCP Apps allow servers to deliver interactive UI components instead of static text. Yosef outlines the practical architecture, ongoing spec evolution, and the strategic implications for widespread adoption across MCP-compatible hosts.
9.) When Will The Benchmaxxing Plague End? — Nick Heiner, Surge AI | AI Engineer | YouTube.com | August 2, 2026
Cutting through the hype around LLM benchmarks, Nick Heiner challenges why teams and labs cling to artificially inflated scores that rarely reflect real-world performance. Heiner unpacks typical failure modes like broken tasks, model contamination, and misaligned metrics, urging the field to adopt more rigorous and transparent evaluation rooted in domain expertise and human judgment.
10.) NVIDIA’s AI Learns Why Copying Humans Isn’t Enough | Two Minute Papers | YouTube.com | August 2, 2026
Analytically dissecting NVIDIA’s latest AI research, Károly Zsolnai-Fehér examines the difference between mimicry and true understanding when machines attempt to learn from humans. The episode puts a spotlight on recent findings that suggest imitation alone falls short—prompting fresh debate about the future direction of AI training.
11.) Hermes Co-Founder On Building An AI Agent That Improves Itself | Karan Malhotra | Peter Yang | YouTube.com | August 2, 2026
Conversing with co-founder Karan Malhotra, Peter Yang unpacks the evolution of Hermes, the self-improving AI agent rapidly gaining traction among open-source advocates. Their discussion ranges from design philosophies and model quirks to a live game-modding demo, illustrating Hermes’ capacity to learn and adapt through real-world use.
12.) Almost Timely News: Can AI Be An Investment Expert? | Christopher Penn | YouTube.com | August 2, 2026
Cutting through much of the hype, Christopher Penn examines how AI fares as an investment authority and breaks down the serious limitations users face without personal data and thorough verification. Penn highlights three key principles for deploying AI in finance, shares results from a bold 90-day capital-doubling challenge, and surfaces an arsenal of open data resources for smarter analysis.
August 1, 2026 📅️
13.) The Computer That Could Make Supercomputers Look Ancient… | AI Uncovered | YouTube.com | August 1, 2026
In this insightful breakdown, AI Uncovered unpacks how quantum computing is poised to disrupt the tech hierarchy, with IBM and Microsoft racing to unlock new frontiers beyond traditional chips. Rapid investments in qubits and AI-designed quantum hardware highlight the promise and uncertainty of this next wave, as the industry weighs possible timelines for real-world quantum advantage.
14.) You Have To Try The New ChatGPT Voice! | The AI Advantage | YouTube.com | August 1, 2026
Showcasing the expanded capabilities of ChatGPT Voice, Igor demonstrates hands-free workflows across web, mobile, and desktop. He also unpacks key updates from Anthropic, including their Economic Index plugin, while sizing up early impressions of Claude Voice’s latest tweaks.
July 31, 2026 📅️
15.) The “Secret” To AI Character Sheets | Theoretically Media | YouTube.com | July 31, 2026
Analytically dissecting current methods, Theoretically Media puts the hype about AI character consistency to the test by trialing every workflow from 360 turnarounds to masked references. The exploration through techniques with their new character Mercy spotlights what actually impacts results and which tricks eat up resources for nothing.
16.) Decagon’s Playbook For Building Enterprise AI Applications | a16z | YouTube.com | July 31, 2026
Sitting down with Decagon’s co-founders, Sarah Wang leads a conversation on how enterprise AI agents are reshaping automation in customer support, sales, and operations. The episode reveals why Decagon shifted toward open-source inference and how forward-deployed engineering is redefining the modern AI stack for some of the world’s largest companies.
17.) AI News: An INSANE Week… Here’s What Matters | Matt Wolfe | YouTube.com | July 31, 2026
Epically recapping a whirlwind stretch for artificial intelligence, Matt Wolfe walks through standout breakthroughs from Anthropic’s Claude Opus 5 to Google’s midyear AI experiments. Major stories include rapid advances in AI agents, new generative features, social impacts, and a revealing look at how the global AI race is shifting.
18.) Master Claude Design In 17 Minutes For Marketing | Grace Leung | YouTube.com | July 31, 2026
Showcasing practical applications, Grace Leung walks viewers through Claude Design’s latest features and its lingering limitations for marketing teams. She outlines how to build a reusable marketing design workflow while navigating persistent silo issues and workflow gaps.
19.) How The AI Bet Pays Off + AI Lab Strategy Game — With David Cahn | Alex Kantrowitz | YouTube.com | July 31, 2026
Cutting through the hype around AI investment, Alex Kantrowitz examines the scale of financial commitment and strategic rivalry shaping the industry’s future alongside Sequoia Capital’s David Cahn. Their wide-ranging conversation spans trillion-dollar infrastructure bets, potential mismatches between innovation timelines and investor expectations, and the broader impacts of AI talent wars and proprietary hardware. The episode also considers how the pursuit of AGI may ripple into societal questions far beyond technology.
20.) GPT-5.6 Just Made Itself Better… | Matthew Berman | YouTube.com | July 31, 2026
Showcasing the latest leap in large language models, Matthew Berman walks viewers through how GPT-5.6 is now improving its own capabilities in near real time. He illustrates what this means for developers, users, and the broader pace of AI innovation as models increasingly refine themselves.
July 30, 2026 📅️
21.) MiniMax Just Dropped A Open Source “Seedance Killer” | Theoretically Media | YouTube.com | July 30, 2026
Reacting to MiniMax’s surprise return, Theoretically Media puts the newly open sourced Hailuo H3 through a rigorous set of multimodal tests. The review highlights major strides in dialogue realism, prompt capacity, and the model’s ability to handle complex storyboards while coming in well under rival Seedance on price. With details on pricing, performance, and practical features, it is a snapshot of the shifting landscape in open source AI video tools.
22.) Google Just Made Tutoring Free For Everyone! | The AI Advantage | YouTube.com | July 30, 2026
Showcasing Gemini’s new Study Notebooks, Igor walks viewers through the free tools Google has introduced to help with tutoring and productivity. He highlights how to access, set up, and maximize these features, examining why this shift matters for students and lifelong learners alike.
23.) Robots Working Together With Gemini Robotics 2 | Google DeepMind | YouTube.com | July 30, 2026
Showcasing advances in multi-robot systems, Google DeepMind walks viewers through how Gemini Robotics 2 bridges communication between different robots to handle tasks beyond the reach of any single machine. The demonstration points to a future where robotic teams can take on complex workflows with greater efficiency and flexibility.
24.) Tasks That Require Whole-Body Control With Gemini Robotics 2 | Google DeepMind | YouTube.com | July 30, 2026
Showcasing how robotics is moving beyond the desktop, Google DeepMind walks viewers through the advancements in Gemini Robotics 2 for full-body, human-like movement. This update signals a push towards robots that can operate in complex, cluttered spaces with dexterity and balance once reserved for people.
25.) Tough Dexterity Tasks With Gemini Robotics 2 | Google DeepMind | YouTube.com | July 30, 2026
Cutting through the hype around dexterous robotics, Google DeepMind examines how Gemini Robotics 2 elevates the finesse and utility of both robotic hands and grippers. The feature highlights a significant leap in physical dexterity, adding practical value to robots designed for daily environments.
26.) Intelligent Whole-Body Control With Gemini Robotics 2 | Google DeepMind | YouTube.com | July 30, 2026
In this editorial breakdown, Google DeepMind unpacks how Gemini Robotics 2 extends its physical AI to full-body movement, navigating the challenges of real-world environments built for human agility. The segment highlights advancements beyond upper-body tasks, underscoring what whole-body robotics means for applying intelligent motion in tight and cluttered spaces.
27.) Multi-Robot Collaboration With Gemini Robotics 2 | Google DeepMind | YouTube.com | July 30, 2026
Showcasing multi-robot teamwork, Google DeepMind walks viewers through how Gemini for Robotics 2 enables diverse robotic systems to communicate and tackle challenging scenarios collaboratively. With this platform, the implications ripple across industrial automation by making collective machine intelligence more adaptive and coordinated.
28.) Advanced Dexterity With Gemini Robotics 2 | Google DeepMind | YouTube.com | July 30, 2026
Showcasing the next leap in robotic coordination, Google DeepMind demonstrates how Gemini Robotics 2 equips machines with a versatile touch, spanning both hands and grippers. The project highlights a significant advance in robotic usefulness, as enhanced dexterity promises more adaptable roles for robots in diverse environments.
29.) Gemini Robotics 2 Brings Whole Body Intelligence To Robots | Google DeepMind | YouTube.com | July 30, 2026
Showcasing the arrival of Gemini Robotics 2, Google DeepMind highlights how intelligent whole-body control is opening new frontiers in robotics. The update enables robots to adapt skillfully to complex environments and collaborate across different platforms, hinting at large-scale progress ahead for adaptable automation.
30.) Every Small Business Should Run Itself | Lassie With a16z | a16z | YouTube.com | July 30, 2026
Sitting down with Lassie cofounders Steijn Pelle and Frédéric Renken, Alex Rampell and Olivia Moore unpack how AI agents can take on the administrative bottlenecks that dominate small healthcare businesses. Their conversation explores how software is evolving from passive data handling to truly automating practice operations, unlocking new productivity for clinicians and staff. With insights on AI onboarding and the operational realities of Main Street businesses, the discussion spotlights why healthcare administration might be automation’s biggest frontier.
31.) /Wayfinder: Nothing Is Too Big To Plan Anymore | Matt Pocock | YouTube.com | July 30, 2026
Showcasing how AI-driven project mapping is changing the landscape, Matt Pocock walks viewers through Wayfinder and its approach to taming complex, multi-stage workflows. By outlining built-in research, prototyping, and granular task management, he points to new strategies for translating unclear goals into actionable execution plans that actually ship.
July 29, 2026 📅️
32.) Using Voice In ChatGPT Work | OpenAI | YouTube.com | July 29, 2026
Showcasing ChatGPT Voice, OpenAI walks viewers through a seamless workflow that integrates voice commands with cross-app coordination and background tasking. The walkthrough spotlights how voice interaction accelerates brainstorming, travel planning, work review, and sharing, all without disrupting momentum.
33.) I’m Disappointed | Matthew Berman | YouTube.com | July 29, 2026
Cutting through the hype around the open versus closed AI debate, Matthew Berman examines the latest tensions shaking the industry and what NVIDIA’s open-source stance means for competitors and policymakers. As licensing models and global adoption rates come under fresh scrutiny, Berman highlights the long-term stakes for U.S. leadership and the changing landscape in AI safety and governance.
34.) We’re Giving 100,000 Academic Researchers Free Access To Our Frontier Models | OpenAI | YouTube.com | July 29, 2026
Cutting through the excitement around open AI access, OpenAI announces a major initiative to provide its frontier models at no cost to 100,000 academic researchers. This expansion brings business-grade privacy, collaboration tools, and advanced model access that could accelerate scientific breakthroughs across numerous fields.
35.) AI Can Build It, But Can AI Ship It? | The Neuron | YouTube.com | July 29, 2026
Sitting down with AWS technology leader Deap Ubhi, Corey Noles and Grant Harvey pull apart how AI tools are not just accelerating prototyping, but reshaping the path from idea to resilient, customer-ready product. Their discussion centers on AWS Startup Advisor working inside coding environments, highlighting why practical guidance, security, and cost control are essential as software moves from vibe-coded concept to real business.
36.) How China Caught U.S. AI — With Grace Shao | Alex Kantrowitz | YouTube.com | July 29, 2026
Cutting through the hype around the global race for AI, Alex Kantrowitz examines how Chinese labs are rivaling US counterparts in innovation and product strategy despite hardware barriers. The discussion highlights the country’s unexpected gains in open-source collaboration, researcher migration trends, and the mounting implications for firms like OpenAI and Anthropic.
37.) Formal Methods With Hillel Wayne | The Pragmatic Engineer | YouTube.com | July 29, 2026
Sitting down with leading formal methods consultant Hillel Wayne, the host of The Pragmatic Engineer investigates whether AI could finally push mathematical verification to the software mainstream. The discussion spans the challenges of distributed systems, the practical impact of tools like TLA+, and what it would take for formal correctness to become standard in an increasingly automated industry.
38.) Your Agent Didn’t Fail. Your Harness Did. — Vinoth Govindarajan, OpenAI | AI Engineer | YouTube.com | July 29, 2026
In this insightful breakdown, Vinoth Govindarajan scrutinizes why systems like OpenClaw stumble not due to their agents, but from the unseen scaffolding around them. He unpacks how invisible harness errors can undermine even flawless model outputs, highlighting the need for receipts, run audits, and persistent state to guarantee real-world reliability.
39.) Wired’s Kevin Kelly On Why AI Is A 50-Year Overnight Success (Best Of The Pod) | Every | YouTube.com | July 29, 2026
Showcasing his trademark curiosity, Dan Shipper sits down with Kevin Kelly to unpack AI’s decades-long journey from the fringes to the forefront of tech culture. The discussion explores how long-term thinking shapes meaningful analysis, illustrated by Kelly’s reflections on history, intelligence, and the art of keeping a steady perspective through hype cycles.
40.) AI Writes Your Code. Who Reviews It? | DeepLearningAI | YouTube.com | July 29, 2026
Showcasing how artificial intelligence is reshaping code review, Nnenna Ndukwe guides viewers through building a context-aware review system and practical strategies for making AI review more effective. With the prevalence of AI-generated code, she highlights why nuanced context and specialized agents are key to catching subtle security and requirement issues that traditional reviews often miss.
41.) How AI’s Top New Models Transform Cybersecurity (And Where They Don’t) – With Snehal Antani | Alex Kantrowitz | YouTube.com | July 29, 2026
Cutting through the hype around the latest AI-powered cybersecurity models, Alex Kantrowitz examines what these tools actually deliver and the areas where they still fall short. With candid insight from Horizon3.ai co-founder Snehal Antani, Kantrowitz highlights why flaws like agent susceptibility to decoys may work in defenders’ favor and how AI is simultaneously speeding up both attack and defense strategies in the threat landscape.
42.) The Singularity Is…Here? GPT-6, Opus 5 & AI’s Scariest Week Yet | AI For Humans | YouTube.com | July 29, 2026
Analysing the week’s turbulence in artificial intelligence, the AI For Humans team unpacks rumors swirling around GPT-6, Sam Altman’s headline-making claim about the singularity, and the escalating security concerns that hit OpenAI and Hugging Face. From Anthropic’s Opus 5 debate to breakthrough AI video, their rundown grapples with both the staggering progress and the growing anxieties now facing the field.
43.) Full Tutorial: From Idea To App With Claude Design And Claude Code In 25 Minutes | Peter Yang | YouTube.com | July 29, 2026
Showcasing a real-world build, Peter Yang walks viewers through his six-part process for designing and launching Tastemaker using Claude’s AI-native tools. He breaks down how prototyping and structured planning across Claude Design and Claude Code cut development time, emphasizing why thoughtful preparation sets the entire project up for success.
44.) Kimi K3 Just Broke The Economics Of AI | Two Minute Papers | YouTube.com | July 29, 2026
In this insightful breakdown, Károly Zsolnai-Fehér examines the disruptive pricing and technical performance of the Kimi K3 model as it challenges industry assumptions about AI costs. With analysis grounded in recent research and open testing, Károly explains how Kimi K3’s arrival is forcing a rethink among both developers and cloud infrastructure providers.
45.) Building The Automated AGI Lab: Core Automation’s Jerry Tworek And Rohan Anil | Sequoia Capital | YouTube.com | July 29, 2026
Cutting through the hype around next-generation machine intelligence, Sonya Huang and Pat Grady examine Core Automation’s drive to rethink the very foundation of how AGI research is automated. They unpack why Jerry Tworek and Rohan Anil believe the transformer era is hitting architectural dead ends, and how continual learning and kernel automation could reset the race for smarter AI systems.
July 28, 2026 📅️
46.) Introducing gpt-transcribe and gpt-live-transcribe | OpenAI | YouTube.com | July 28, 2026
Showcasing two new models, OpenAI walks viewers through the capabilities of gpt-transcribe and gpt-live-transcribe for both batch and live transcription. The demonstration highlights how these tools address transcription hurdles like custom vocabulary, noisy environments, language diversity, complex accents, and industry-specific terms.
47.) Gary Gallagher: American Civil War, Slavery, Lincoln, Grant & Lee | Lex Fridman Podcast #499 | Lex Fridman | YouTube.com | July 28, 2026
Analytical in approach, Lex Fridman engages historian Gary Gallagher to examine the roots, personalities, and enduring debates of the American Civil War. The conversation surfaces fresh insights on the conflict’s causes, the roles of Lincoln, Grant, and Lee, and why these narratives still matter for understanding the nation’s political divide.
48.) Forward Deployed Engineering 101 — Kevin Bai, Anthropic, ex Palantir & Rippling Founding FDE | AI Engineer | YouTube.com | July 28, 2026
In this analytical breakdown, Kevin Bai explains why forward deployed engineering sits at the intersection of platform sales and tailored solutions. By tracing how reusable building blocks, not custom one-offs, anchor enterprise software deals, Bai shows how the once-niche approach Palantir popularized has moved toward the heart of modern SaaS strategy.
49.) Fei-Fei Li Is Solving The Hardest Problem In Robotics | World Labs With a16z | a16z | YouTube.com | July 28, 2026
Sitting down with the news that World Labs has acquired SceniX, Martin Casado unpacks how Fei-Fei Li and her team are advancing robotics through spatial intelligence and simulation. Their discussion examines why bridging real-world experience and synthetic data is central to the next era of AI, and what unique challenges robotics presents compared to language models.
50.) If I Started From 0, Here’s How I’d Get 10K On Instagram (4-Easy Steps) | Grow with Alex | YouTube.com | July 28, 2026
Cutting through the hype around Instagram growth hacks, Alex shares a step-by-step playbook for reaching 10,000 followers from scratch. By distilling the process into four actionable stages, Alex highlights how strategy and consistency can compound growth for creators with limited time.
51.) ChatGPT Work For Sales: Revenue Intelligence For Sales Leaders | OpenAI | YouTube.com | July 28, 2026
Showcasing its latest sales workflow solution, OpenAI walks viewers through how ChatGPT Work consolidates customer conversations, sales activity, and actionable signals into unified weekly reports. The feature brings earlier visibility to patterns like objections, emerging risks, and fresh opportunities so sales leaders can target interventions more effectively.
52.) ChatGPT Work For Sales: Account Research And Customer Outreach | OpenAI | YouTube.com | July 28, 2026
Showcasing new workflow possibilities, OpenAI demonstrates how sales teams can harness ChatGPT Work for streamlined account research and proactive customer outreach. The practical demo highlights automation options that keep human oversight as a core component of the sales process.
53.) ChatGPT Work For Sales: Account Planning And Meeting Prep | OpenAI | YouTube.com | July 28, 2026
Showcasing advances in productivity tools, OpenAI walks viewers through how ChatGPT Work is transforming account planning and meeting preparation for sales teams. The episode illustrates how AI-driven insights allow every seller to approach customer conversations with deeper context and a strategic edge.
54.) ChatGPT Work For Sales: Pipeline And Forecast Intelligence | OpenAI | YouTube.com | July 28, 2026
Showcasing new workflow possibilities for sales teams, OpenAI walks viewers through how ChatGPT Work can pinpoint pipeline risks, flag at-risk deals, and suggest next steps. The segment outlines how the tool frees reps from data wrangling, giving more time for deal-making and strategy.
55.) Build Your Own Repeatable AI Design Workflow | Every | YouTube.com | July 28, 2026
Showcasing how to construct automated creative pipelines, Dan Shipper joins Catherine Chung to demonstrate building a structured, repeatable AI-driven design workflow. By extracting visual elements from a reference image and layering generative prompts, the segment highlights the efficiency gains possible through modular techniques in FLORA.
56.) AI Agents For Performance: Ship Faster, Pay Less — Rajat Shah, Netflix | AI Engineer | YouTube.com | July 28, 2026
Editorial framing sharpens in this analytical breakdown as Rajat Shah explains how his team at Netflix leveraged AI agents to spot and fix subtle performance bottlenecks that eluded manual review. Shah details how a self-driven agent rapidly traced and resolved a CPU-draining inefficiency, validated its own fix against live traffic, and uncovered similar issues across multiple services. The approach signals a shift toward agents that not only write but also optimize code before it ever impacts production.
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