Hashtag Trending

The hosts discuss using ChatGPT with memory to identify personal blind spots, concluding that multitasking is a myth and linking attention styles (process vs options) and ADHD tendencies to starting many projects without finishing. They compare language fluency to building separate internal "models," relating it to how LLMs work. In a lightning round, they cover rising political backlash to data centers over water, heat, grid strain, and taxes; high electricity costs; and how US corporate structures affect public outcomes. They review responses like more efficient cooling and chips (Nvidia, IBM sub-1nm), IBM's quantum timeline, OpenAI's rapid chip design, chip price lock-ins, and China's innovation under restrictions, including advanced video generation (ByteDance's "CDance 2.5"). They also debate open-source models, orchestration pools like Sakana/Fugu, and concerns about governments restricting access to frontier models such as Anthropic's Fable/Mythos and future GPT releases.
00:00 Weekend Banter
00:28 AI Finds Blind Spots
01:23 Why Multitasking Fails
02:17 Process vs Options Minds
05:24 ADHD and Getting Things Done
08:59 Thinking in Languages
11:32 Data Center Backlash
20:42 AI Distrust and Real Risks
22:52 Efficiency Chips and Retrofits
26:37 Musk Grok and Model Wars
29:27 Open Source Model Boom
32:43 Sakana Fugu Orchestration
36:00 OpenAI Chip and Chip Wars
42:58 Chip Profit Windfalls
44:13 PC Prices Rising Again
45:00 China Reinvents Memory
46:45 China Leads Video AI
50:56 Open Source Momentum
52:34 AI Writing Style Fight
57:55 Model Access Crackdowns
01:07:16 AI Economics and IPO Risk
01:17:49 Media Influence Teaser
01:20:26 CDance Demo and Wrap01_project_synapse (1)

AI is changing more than software. It's reshaping the economics, engineering and politics of computing.
On Hashtag Trending for Friday, June 26, 2026, Jim Love examines why Micron believes memory prices could remain historically high for years—not because of manufacturing costs, supply chain problems or raw materials, but because AI demand is so strong that memory makers can focus on their highest-margin products. That profitability could eventually encourage new Chinese competitors, much as export restrictions helped create a new generation of Chinese AI chip companies.
IBM follows yesterday's quantum announcement with another bid for technology leadership, unveiling the world's first sub-1 nanometre NanoStack transistor architecture. The breakthrough promises major gains in performance and energy efficiency, although commercial chips remain about five years away.
Google is also pushing AI into a new phase with Gemini Computer Use, allowing AI agents to operate software on your behalf. But once AI can log into systems, click buttons and make decisions, the bigger questions become identity, authentication, permissions and governance.
Finally, the growing backlash against AI data centres continues to intensify. An Oklahoma farmer's arrest at a public meeting, election defeats for Utah politicians who backed a major data-centre project, developers scaling back billion-dollar plans, and even Polaroid joining the protest movement all point to one conclusion: the debate over AI infrastructure is getting hotter.
In this episode:
00:00 Introduction
00:33 AI Demand Keeps Memory Prices High
02:56 IBM's NanoStack Chip Breakthrough
04:53 Google's Computer Use AI Agents
06:14 Securing AI Digital Workers
08:26 Data Center Backlash Intensifies
12:51 Wrap-up
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Keywords:
AI, artificial intelligence, Micron, memory chips, DRAM, HBM, semiconductor industry, IBM, NanoStack, sub-1 nanometre chip, nanometer chip, quantum computing, Google Gemini, Gemini Computer Use, AI agents, enterprise AI, digital workers, authentication, cybersecurity, Nvidia, China semiconductors, AI infrastructure, data centres, Kevin O'Leary, Polaroid, Hashtag Trending, Jim Love, tech news

IBM is making one of the biggest bets in its history, investing $10 billion in an effort to build a practical quantum computer by 2029. Jim Love looks at why the company that once stunned the world with Watson's Jeopardy victory is now wagering its future on quantum computing instead of competing head-to-head in the generative AI race.
Also in this episode, Elon Musk briefly becomes the world's first trillionaire before slipping back below the trillion-dollar mark just days later as SpaceX's valuation retreats, a reminder of how quickly paper wealth can change.
NVIDIA announces a new liquid-cooling architecture designed to dramatically reduce water consumption in AI data centres, a move that could help address one of the fastest-growing sources of public opposition to AI infrastructure.
Finally, we examine the growing political influence of major AI companies. As organizations linked to OpenAI and Anthropic spend millions of dollars in the 2026 U.S. election cycle, a larger question emerges: should the companies that increasingly shape how we access information also become major political players?
Timestamps
00:00 Introduction
00:36 The World's First Trillionaire Lasted Less Than a Week
02:03 IBM Bets Its Future on Quantum Computing
06:04 NVIDIA Says It Has a Solution to AI's Water Problem
08:08 Should AI Companies Be Political Power Brokers?
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Keywords:
IBM, IBM Quantum, Quantum Computing, Quantum Starling, IBM Watson, Watson Jeopardy, Practical Quantum Computer, Quantum Computer 2029, Elon Musk, SpaceX, World's First Trillionaire, NVIDIA, NVIDIA Liquid Cooling, AI Data Centres, Data Center Water Usage, Water Cooling, AI Infrastructure, Artificial Intelligence, OpenAI, Anthropic, AI Regulation, AI Politics, Political Campaigns, AI Campaign Spending, Generative AI, Enterprise AI, Technology News, Tech News, Hashtag Trending, Jim Love

SpaceX investors are getting a reality check.
After soaring from its $150 IPO price to roughly $220, SpaceX shares have fallen back below their IPO level, raising questions about valuation, debt, governance, and whether the AI boom can justify the enormous capital spending now expected from leading technology companies.
Meanwhile, Anthropic is pushing AI deeper into the workplace with Claude Tag for Slack. The new feature lets users summon Claude directly into conversations, follow discussion context, summarize threads, break projects into tasks, and help teams collaborate without constantly switching applications. It's another step toward AI agents that function as digital coworkers rather than simple chatbots.
And opposition to AI data centers is expanding beyond environmental groups and local residents. Conservative organizations are now joining critics who argue that massive AI infrastructure projects consume too much power, receive excessive subsidies, and provide too little benefit to local communities. New polling suggests public skepticism toward both AI and large-scale data center construction may be growing.
In this episode:
• SpaceX stock falls below IPO price
• Questions about valuation, debt, and AI spending
• Anthropic launches Claude Tag for Slack
• AI assistants move closer to becoming workplace agents
• Conservative groups join data center opposition
• New polling reveals growing AI skepticism
• The challenge of earning a social license to operate
Timestamps
00:00 Headlines and Setup
01:44 SpaceX Stock Reality Check
03:57 Claude Joins Slack
04:28 AI Coworkers Become Agents
06:38 Right Wing Data Center Revolt
08:22 Polling Shows AI Backlash
09:15 Social License to Operate
10:43 Sign Off
Hashtag Trending delivers the top technology news stories shaping business, AI, cybersecurity, innovation, and digital transformation.
#AI #SpaceX #Anthropic #ClaudeAI #Slack #DataCenters #ArtificialIntelligence #ElonMusk #EnterpriseAI #TechNews #HashtagTrending #DigitalTransformation #AIAgents #CloudComputing #TechnologyNews

Jim Love reports on the top technology stories for June 23, 2026.
A severed optical fibre cable triggered a major internet outage that started with Reddit and spread across a wide range of online services. At nearly the same time, Anthropic's Claude AI suffered a significant outage, highlighting how dependent businesses have become on cloud infrastructure and AI platforms. The episode examines why reliability matters and how the difference between 99.999% uptime and 98% uptime can translate into seconds versus hours of downtime.
Also in this episode:
• Perplexity introduces a new memory system for its AI agents, designed to learn from previous mistakes, improve accuracy, and reduce token costs. Jim explains why this isn't true model learning but could still be a major advance for agentic AI.
• Chinese memory manufacturers including CXMT and YMTC are gaining traction despite U.S. semiconductor restrictions. The story explores China's growing DRAM and NAND industry, future memory shortages, and whether sanctions are creating competitors instead of customers.
• General Motors faces criticism after deploying additional robots on its production lines. The discussion looks beyond humanoid robots to the broader trend of versatile automation, cobots, dark factories, and what reshoring manufacturing may look like in an increasingly automated world.
If you enjoy practical analysis of AI, cybersecurity, enterprise technology, cloud computing, semiconductors, and digital transformation, subscribe for new episodes every weekday.
#AI #ArtificialIntelligence #ClaudeAI #Anthropic #Perplexity #Semiconductors #ChinaTech #Robotics #Automation #TechnologyNews #HashtagTrending
00:00 Top Headlines Today
00:29 Internet and Claude Outages
01:46 Why Reliability Matters
03:14 Perplexity Agents With Memory
04:57 Memory Is Not Learning
06:52 China Challenges Memory Giants
10:26 Robots Threaten Factory Jobs
12:52 Dark Factories and Reshoring
14:10 Closing and Book Request