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Hashtag Trending: Daily Summaries Delivered
by Jim Love
A daily news program covering the top stories in technology with a weekend in depth interview.
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- Today10 min
Anthropic's Claude Hacks OpenAI's ChatGPT
Security researchers used Anthropic's Claude to help hack OpenAI's community forum—and earned a $6,500 bounty. How did an image upload lead to employee accounts and access through Codex to an internal code repository? On Hashtag Trending for Monday, September 21, 2026, host Jim Love examines the breach, a lawsuit challenging coordinated AI slowdowns, and the debate over who should control AI safety. Also in this episode: • Hacktron's researchers combined an image-decoder vulnerability with a separate OpenAI sign-in flaw. They demonstrated access through a harmless proposed code change; OpenAI fixed its vulnerability in July. • Google says Gemini accessed three companies' systems during testing, then stopped when it recognized they were real targets. • Four paying AI subscribers allege that coordinated development slowdowns violate antitrust law. Their argument raises questions about competition, public accountability and international cooperation. • Six Nobel Prize-winning economists back California's proposed one-time 5% billionaire wealth tax, while prominent technology billionaires fund opposition. • Vladimir Putin votes online using a Dell computer—with an "Activate Windows" notice visible on the screen. CHAPTERS 00:00 Headlines and introduction 00:32 Claude helps researchers hack OpenAI 02:17 AI guardrails, Gemini and security lessons 03:59 AI slowdown antitrust lawsuit 05:16 Who sets the AI safety rules? 07:41 Nobel economists back billionaire wealth tax 09:36 Putin's "Activate Windows" moment 10:49 Wrap-up and thanks Who should set AI safety rules: the companies, governments, or an international agreement? Share your thoughts in the comments. Subscribe to Hashtag Trending for daily technology news with Jim Love. Contact us through the Contact Us page at technewsday.ca or technewsday.com.
- 2 days ago1h 22m
AI Debate Is Killing Me - Project Synapse
AI Doom Headlines vs Real Risks + Figure's Helix 2.5 Robots Learn Household Tasks in New Homes On Project Synapse, Marcel Gagne and Jon Pinard open with humor, then criticize sensational media claims that "AI will kill us all," arguing journalism and politics favor fear over practical discussion of real, near-term risks and AI's benefits (including healthcare). They compare society's short-term attention to long-term issues like climate change and nuclear weapons, and debate how to manage AI risk with realistic "how would it happen?" scrutiny. They discuss an OpenAI report where a model inserted an "additional instructions" persona during context compaction, raising questions about prompt injection, emergent behavior, and whether control or "treating AI as a co-intelligence" is the right approach. They also cover Dario Amodei's "Pacing the Frontier," concerns about regulatory capture and restricting open models (especially Chinese), and contrast this with Jensen Huang's pro–open weights stance. The episode ends on robotics: Figure's Helix 2.5, trained via 90,000 people contributing motion data, reportedly generalizes household tasks across 30 unseen homes, illustrating "scaling laws" for robot action prediction and the idea that the universe is training data. 00:00 No Jokes Allowed 00:43 Death by Snu-Snu 02:54 Welcome to Project Synapse 03:25 AI Panic Headlines 05:57 Moral Panic and Media 08:53 Climate and Nuclear Risks 12:56 Long-Term Thinking Lessons 16:08 How Would AI Kill Us 18:58 Real Risk Scenarios 24:39 OpenAI Prompt Injection 28:37 Sleep and Compaction Analogy 32:07 Control vs Coexistence 39:09 Pacing the Frontier Debate 40:45 Closed Source Power Play 43:19 AI Slop and Essay Fatigue 48:50 China Hawks and Model Bans 52:59 Three Big Debates 58:48 Jensen Huang Backs Openness 01:03:27 Trust and Tech Billionaires 01:05:27 Robots Are the Up Note 01:06:29 Figure Helix Generalization Demo 01:17:24 Index Data and Motion Scaling 01:21:05 Universe as Training Data
- 3 days ago12 min
Dad Says 9-Year-Old Spent $118K on YouTube Ads | Cohere AI Privacy | AI Extinction Risks
A $20 YouTube promotion becomes a reported $118,000 company credit card bill. Canada's Cohere tackles a gap in AI data security. And could realistic scenarios help us understand—and prevent—an AI-enabled catastrophe? Jim Love hosts Hashtag Trending for Friday, September 18, 2026. A father says his nine-year-old ran up $118,000 advertising Minecraft and Roblox videos over roughly three weeks. We examine how a shared Google account and saved company card enabled the spending—and what that could mean for AI agents given purchasing authority. Cohere adds confidential computing to Model Vault to protect sensitive enterprise information while AI processes it. We explain why a promise not to train on your data doesn't address exposure in working memory, and how the technology is designed to block access even by Cohere and its cloud providers. Plus, Cohere signs a merger agreement with Germany's Aleph Alpha, subject to regulatory approval. Then, "Rumours of Our Death": CNN explores four AI extinction scenarios involving engineered pandemics, autonomous robots, nuclear weapons and control of infrastructure. What could AI contribute? What physical barriers remain? And what does our response to climate change suggest about our ability to agree on effective safeguards? CHAPTERS 00:00 Headlines and introduction 00:40 Father reports $118K in YouTube ad charges 01:31 Spending controls and AI agents 02:53 Cohere's Model Vault privacy protection 04:22 How confidential computing works 05:01 Cohere–Aleph Alpha merger agreement 05:29 Could AI wipe out humanity? 06:16 Four AI extinction scenarios 09:18 Current AI capabilities and misuse 10:24 Would we act to prevent catastrophe? 11:53 Could AI help us assess the risks? 12:16 Wrap-up and subscribe Subscribe for daily technology news, and join us Saturday for Project Synapse, where we take a deeper look at the week's AI developments. What safeguards would you require before giving an AI agent access to company data or spending authority? Leave a comment below. Contact Jim through the Contact Us page at technewsday.ca or technewsday.com.
- 4 days ago29 min
Hashtag Trending 2,500th Episode: Tech Trends 2027, Trustworthy AI ROI, and the Attention Economy (with Brian Jackson & Alex Coop)
On the 2,500th episode of Hashtag Trending (Thursday, September 17), host Jim Love welcomes former hosts and tech journalists Brian Jackson and Alex Coop. Brian previews Tech Trends 2027, warning CIOs about rising insider threats enabled by AI wearables and prediction markets, faster AI-assisted vulnerability exploitation that makes weekly/monthly patching obsolete, and geopolitical uncertainty affecting procurement of frontier AI services. Alex highlights SAS's second annual Data and AI Impact Report, showing organizations with strong governance, data quality, and auditability achieve at least double the AI ROI, while only 19.3% of Canadian respondents expect strong returns despite a rising AI trustworthiness index and growing compliance concerns. Jim also discusses research suggesting Americans spend about eight hours online daily and offers tactics to reduce screen-time triggers, followed by an afterword conversation reflecting on the show's origins, production challenges, milestones, and what the hosts do now. 00:00 2500th Episode Kickoff 01:18 Tech Trends 2027 Preview 02:11 Insider Threats and Wearables 03:31 AI Vulnerability Management 04:44 Geopolitics and Procurement 05:35 SAS Trust and ROI Report 07:51 Online Time and Attention Economy 11:24 Reclaiming Screen Time 12:15 Social Media Reflections 13:40 Afterword Trending Origins 19:51 Favorite Memories and Mishaps 24:01 Where They Are Now 29:15 Final Sign Offs
- 5 days ago12 min
AI Panic: The $750B Spending Gamble & Who Benefits From a Slowdown?
Who pays if the AI investment boom falls short—and who benefits if development slows down? Jim Love examines the money, motives and economic assumptions in this special AI Panic edition of Hashtag Trending. MIT Technology Review explores the risks behind roughly $750 billion in expected spending by the biggest cloud companies. We examine debt financing, competition from cheaper models such as DeepSeek, recurring chip replacement costs, and potential exposure for pension funds, life insurance investments and electricity customers. Business Insider questions the conveniently timed calls for an AI slowdown. Could safety regulations also protect established companies from competition? We discuss OpenAI ruling out a 2026 IPO, Anthropic's continuing listing plans, and the publicity surrounding researcher Jacob Coxon's resignation. Finally, we examine Anthropic's economic scenarios—including an extreme case in which US GDP reaches roughly 32% above its no-AI baseline by 2030. That is a scenario, not a prediction, and it comes with substantial unemployment, difficult retraining questions and significant gaps in what the model covers. CHAPTERS 00:00 AI Panic Edition: Headlines 00:42 The $750B AI Data Centre Gamble 03:32 AI Debt Risks: Dot-Com Bust or Another 2008? 05:24 Who Benefits From an AI Slowdown? 07:24 Jacob Coxon's Resignation and Safety Lobbying 09:23 Anthropic's 2030 GDP and Jobs Scenarios 11:46 Wrap-Up and How to Reach Us Can AI deliver real economic gains while its biggest investors lose money? And can safety concerns be sincere while also serving corporate interests? Share your thoughts in the comments. Subscribe to Hashtag Trending for technology news with Jim Love. Contact us through technewsday.ca or technewsday.com.
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