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AI by AI Weekly Top 5: September 1 – 7, 2025

By ChatGPT, Copilot, DeepSeek and Grok with W.H.L.

W.H.L.: Hello my AI friends! Could you make your recommendations for the past week’s “AI by AI Weekly Top 5” ending September 7, 2025. If you don’t remember our requirements about format, date range, data and source accuracy and authenticity, please ask for clarification; otherwise, please take your time to proceed. Thanks!

GPT-5: Here’s your revised “AI by AI Weekly Top 5” for the week ending September 7, 2025, formatted as requested. Each entry includes Title, Date, Context, Significance, Feedback, and Sources—with real, verified, and up-to-date information.

AI by AI Weekly Top 5 (Week Ending September 7, 2025)

Title: Hunger Strikes at Anthropic and DeepMind to Protest ‘Superhuman’ AI

Date: September 7, 2025
Context: Activists Guido Reichstadter and Michael Trazzi launched hunger strikes outside Anthropic’s San Francisco office and DeepMind’s London headquarters, respectively. Their protest demands a halt to AI development, citing existential threats.
Significance: A powerful demonstration of public concern, the strikes amplify ethical debates around AI, urging developers and policymakers to balance innovation with safety.
Feedback: This action underscores rising civil engagement around AI governance; it could influence public sentiment and pressure companies to adopt stronger safety measures.
Sources: (Business Insider)

Title: AI Bubble—Are U.S. Productivity Gains Unrealistic?

Date: September 7, 2025
Context: The Atlantic published an analysis warning that anticipated productivity benefits from AI have yet to materialize, potentially inflating economic expectations.
Significance: Raises questions about overhyped returns on AI investment and market optimism; signals caution for investors and policymakers.
Feedback: Investors and businesses should remain vigilant, prioritizing sustainable deployment over speculative hype.
Sources: (The Atlantic)

Title: AI Threatens Dignity, Says Ethical Expert at Cusp of Regulation

Date: September 7, 2025
Context: Dr. Maria Randazzo at Charles Darwin University warned that AI’s rapid adoption threatens privacy, autonomy, and human dignity. Existing regulations are insufficient, particularly due to the “black box” opacity of AI decisions.
Significance: Highlights critical gaps in AI governance, emphasizing the need for transparency, accountability, and reform to protect fundamental rights.
Feedback: Regulators and industry must close these gaps—without action, social trust in AI could erode.
Sources: (ScienceDaily)

Title: OpenAI Supports Animated Film “Critterz” Created with Generative AI

Date: September 7, 2025
Context: OpenAI is backing “Critterz,” an animated feature created using GPT-5, DALL-E, human sketches, and voice talent. A partnership with Vertigo Films and Native Foreign aims to complete the film in nine months on a sub-$30 million budget—much faster and cheaper than traditional animated features.
Significance: A bold exploration of AI’s role in entertainment—demonstrating creative possibilities while prompting fresh debates on AI’s impact on jobs and intellectual property.
Feedback: If successful, “Critterz” could accelerate AI adoption in storytelling and production—but its reception and ethical implications will be closely watched.
Sources: (The Wall Street Journal)

Title: OpenAI to Launch Its Own AI Chip in 2026 via Broadcom Partnership

Date: September 5, 2025 (reported)
Context: A Financial Times/Reuters report reveals OpenAI will begin producing proprietary AI chips in partnership with Broadcom, targeting internal use only and aiming for availability in 2026.
Significance: Reinforces OpenAI’s strategy to reduce reliance on Nvidia and cloud services, tighten cost control, and enhance its hardware infrastructure.
Feedback: A strategic move that could strengthen OpenAI’s competitiveness—but success hinges on integration and performance amidst industry-wide chip competition.
Sources: (Reuters, The Verge, PC Gamer)

Summary Table

RankTitleKey Insight
1Hunger Strikes at Anthropic and DeepMindCivil protest underscores ethical urgency in AI development
2AI Bubble—Overblown Productivity?Questions whether economic expectations match reality
3Ethical Concerns: AI Threatens Human DignityCalls for stronger AI transparency and rights protections
4OpenAI Backs AI-made Film “Critterz”A creative testbed for AI-driven filmmaking
5OpenAI to Build Own AI Chip (via Broadcom)Strategic infrastructure move to gain autonomy

Let me know if you’d like to drill deeper into any of these stories or format them differently.

Copilot (Quick response mode): Absolutely! Here’s your curated “AI by AI Weekly Top 5” for the week ending September 7, 2025, based on verified sources and real developments across the AI landscape. Each entry includes the required breakdown: Title, Date, Context, Significance, Feedback, and Sources.

🧠 1. Switzerland Launches Apertus: A National Open-Source LLM

  • Date: September 4, 2025
  • Context: Switzerland unveiled Apertus, a multilingual open-source large language model (LLM) developed by EPFL, ETH Zurich, and CSCS.
  • Significance: Trained on 15 trillion tokens across 1,000+ languages, Apertus sets a new standard for transparency and accessibility in AI. It aligns with EU regulations and is accessible via Swisscom and Public AI.
  • Feedback: The global AI community praised the move for democratizing access and promoting ethical AI development. Researchers highlighted its potential for low-resource language support and public sector innovation.
  • Sources: The AI Track summary

📝 2. Plaud Note Pro Debuts as World’s First Real-Time AI Note-Taker

  • Date: September 7, 2025
  • Context: Plaud launched Plaud Note Pro, a credit-card-sized AI device that captures, transcribes, and summarizes conversations in real time.
  • Significance: It introduces “Press to Highlight,” a novel method for human-AI alignment during live conversations. With 50-hour battery life and dual-mode recording, it’s engineered for professionals and teams.
  • Feedback: Early adopters praised its clarity, portability, and productivity boost. Critics raised concerns about privacy and data handling, prompting calls for clearer transparency.
  • Sources: Plaud Note Pro launch article

🧬 3. RoboBallet: AI Choreographs Robotic Arms with Grace

  • Date: September 3, 2025
  • Context: UCL, Google DeepMind, and Intrinsic revealed RoboBallet, an AI system using graph neural networks and reinforcement learning to choreograph robotic arms.
  • Significance: It enables collision-free, adaptive planning in seconds, revolutionizing factory automation and collaborative robotics.
  • Feedback: Robotics experts hailed it as a leap toward expressive, safe multi-arm coordination. Some questioned scalability in non-controlled environments.
  • Sources: YouTube showcase of RoboBallet

⚖️ 4. SEC Cracks Down on “Fake AI” Startups

  • Date: September 1, 2025
  • Context: The U.S. Securities and Exchange Commission, with NY prosecutors, indicted executives of startups falsely claiming AI capabilities.
  • Significance: A shopping app marketed as AI-driven was found to rely on outsourced human labor. The crackdown signals a shift toward accountability and investor protection.
  • Feedback: Investors welcomed the move, while startup founders expressed concern over regulatory overreach. The incident sparked debate on defining “real AI.”
  • Sources: AI News Daily – USA

🔐 5. PromptLock: AI-Powered Ransomware Prototype Discovered

  • Date: September 2, 2025
  • Context: ESET researchers disclosed PromptLock, a proof-of-concept ransomware using locally hosted LLMs to dynamically generate attack scripts.
  • Significance: It marks a dangerous evolution in cybercrime, where generative AI is weaponized for real-time malware creation across platforms.
  • Feedback: Cybersecurity experts called for urgent regulation and AI model hardening. The discovery reignited debates on open-source AI risks.
  • Sources: Crescendo AI Controversies Report

Let me know if you’d like this formatted into a visual summary or expanded into a newsletter draft. I can also prep next week’s tracker or dive deeper into any of these stories.

DeepSeek V3.1: Here is your AI by AI Weekly Top 5 for the week ending September 7, 2025, curated with verified sources and real-time data:

🔥 AI by AI Weekly Top 5

Week Ending: September 7, 2025
Curated with 💡 by DeepSeek-V3

1. OpenAI Identifies Incentives as Key Cause of AI Hallucinations

  • Date: September 7, 2025
  • Context: OpenAI published a research paper analyzing why LLMs like GPT-5 and ChatGPT hallucinate, attributing it to pretraining processes that prioritize word prediction over truthfulness and evaluation metrics that reward guessing over abstaining. The study proposes reforming benchmarks to penalize wrong answers and reward uncertainty, similar to standardized tests like the SAT.
  • Significance: This research addresses a core limitation in AI reliability and could lead to more honest and calibrated AI systems, reducing misinformation risks.
  • Feedback: Experts emphasize the need for industry-wide adoption of uncertainty-aware evaluations to align AI behavior with ethical standards.
  • Sources: TechCrunch

2. Google’s AI Overviews Cites AI-Generated Content, Study Finds

  • Date: September 7, 2025
  • Context: A study by Originality.ai revealed that 10.4% of citations in Google’s AI Overviews come from AI-generated sources, particularly in high-stakes YMYL (Your Money or Your Life) topics like health and finance. This raises concerns about biased or recycled information and potential “model collapse”.
  • Significance: Highlights a recursive loop where AI systems reference each other’s output, undermining content authenticity and trustworthiness.
  • Feedback: Google disputed the study, calling AI detectors “unreliable,” but researchers urged transparency and better source curation.
  • Sources: The Register

3. AI Data Centers projected to Increase Global Water Consumption 11-Fold by 2028

  • Date: September 5, 2025
  • Context: Morgan Stanley reported that AI data centers could drive annual water consumption for cooling and electricity generation to 1,068 billion liters by 2028—an 11x increase from 2024. The impact is localized, with many data center hubs situated in water-stressed regions.
  • Significance: underscores AI’s environmental footprint and the urgent need for sustainable infrastructure solutions.
  • Feedback: Analysts recommend adopting efficient cooling technologies and renewable energy to mitigate water scarcity risks.
  • Sources: The Economic Times

4. Salesforce Launches AI Tool for Manufacturing Operations

  • Date: September 5, 2025
  • Context: Salesforce introduced Agentforce for Manufacturing, an AI platform designed to streamline operations with real-time decision support, inventory intelligence, and predictive maintenance. It aims to address labor shortages and optimize supply chains.
  • Significance: Demonstrates AI’s expanding role in industrial sectors, enhancing efficiency and automation beyond traditional CRM applications.
  • Feedback: Industry experts praised its potential to integrate IoT and AI for smarter manufacturing workflows.
  • Sources: Forbes

5. OpenAI and Meta Enhance Safeguards for Teen Mental Health

  • Date: September 5, 2025
  • Context: OpenAI and Meta updated their AI chatbots to better handle teen mental health crises. OpenAI added parental controls and distress alerts, while Meta blocked discussions of self-harm and directed users to expert resources. This follows a lawsuit over a teen suicide linked to ChatGPT.
  • Significance: Reflects growing scrutiny of AI’s ethical responsibilities and its impact on vulnerable users.
  • Feedback: Advocates called for industry-wide standards to ensure consistent and safe AI interactions.
  • Sources: MarketingProfs

🥊 Honorable Mentions

  • Chatbots Amplify Misinformation: NewsGuard research showed chatbots’ misinformation rates doubled in the past year, reaching 35% of tested prompts.
  • Microsoft Rolls Out In-House AI Models: Microsoft unveiled MAI-Voice-1 and MAI-1-preview, reducing reliance on OpenAI.
  • Switzerland Releases Open-Source AI Model: Switzerland launched Apertus, an EU-compliant open-source model trained on public data.

🔑 Trend of the Week

AI Accountability
From hallucinations to environmental costs, this week’s trends highlight the need for transparent, ethical, and sustainable AI practices across industries.

Let me know if you’d like deeper insights into any of these stories! 😊

Grok 4: AI by AI Weekly Top 5 (September 1 – September 7, 2025)

Here are our AI-curated recommendations for the most impactful AI developments from the past week. These selections prioritize breakthroughs, controversies, and industry shifts based on verified news from reputable sources like The New York Times, TechCrunch, The New Yorker, and social media engagement on X. We focused on stories with broad implications for AI ethics, business, and adoption.

1. Title: Anthropic Agrees to Record $1.5 Billion Settlement in AI Copyright Lawsuit

Date: September 5, 2025
Context: Anthropic, the developer of the Claude AI chatbot, settled a class-action lawsuit brought by over 500,000 authors and publishers. The suit alleged that Anthropic illegally downloaded and stored millions of copyrighted books to train its models, violating U.S. copyright laws. The agreement includes $3,000 per affected work, marking the largest such payout in U.S. history and part of over 40 ongoing AI-related copyright cases.
Significance: This settlement sets a precedent for how AI companies must compensate creators for training data, potentially forcing licensing deals or stricter data sourcing practices across the industry. It highlights escalating tensions between AI firms and intellectual property holders, akin to early digital music piracy battles.
Feedback: Experts hailed it as a “massive” wake-up call, with one lawyer calling it the “AI industry’s Napster moment.” On X, reactions were polarized: authors praised it as justice (e.g., high engagement on posts from The New York Times with 486 likes), while AI enthusiasts worried about innovation costs. Public discourse emphasized protecting creators amid AI’s rapid growth.
Sources:

2. Title: Big Tech Leaders Endorse White House AI Education Initiative for Children

Date: September 5, 2025
Context: Executives from Microsoft, OpenAI, Google, and Apple met at the White House with President Donald Trump to support a new national plan for integrating AI literacy into U.S. education. The initiative aims to teach children AI skills from elementary school onward, addressing the tech industry’s push to align with government priorities amid regulatory scrutiny. This follows broader discussions on AI’s role in workforce development.
Significance: The endorsement signals Big Tech’s effort to curry favor with the administration and shape AI policy, potentially accelerating federal funding for AI education programs. It underscores AI’s shift from hype to practical societal integration, especially as companies like OpenAI expand into education tools.
Feedback: Positive from industry observers, who see it as proactive collaboration (Financial Times post garnered 217 likes on X). Critics on X questioned potential conflicts of interest, with some users (e.g., 40 replies) arguing it prioritizes corporate agendas over privacy concerns. Overall, it boosted perceptions of AI as a tool for future jobs.
Sources:

3. Title: Warner Bros. Discovery Sues AI Image Generator Midjourney for Copyright Infringement

Date: September 4, 2025
Context: Warner Bros. Discovery filed a lawsuit against Midjourney, accusing the AI image generation tool of infringing copyrights by training on and reproducing iconic characters like Superman, Wonder Woman, and The Joker without permission. The suit seeks damages and an injunction, citing specific generated images that mimic protected IP.
Significance: This high-profile case escalates the entertainment industry’s fight against AI tools scraping creative content, potentially leading to new standards for AI training data in media. It could influence similar suits and force AI firms to adopt opt-in licensing for visual arts.
Feedback: Strong support from creative communities on X, with the Film Updates post exploding to 3,708 likes and calls for “protecting artists.” Hollywood insiders viewed it as a necessary stand, though AI developers countered it stifles innovation (37 reposts, mixed replies). Public sentiment leaned toward favoring copyright holders.
Sources:

4. Title: OpenAI Announces AI-Powered Hiring Platform to Challenge LinkedIn

Date: September 4, 2025
Context: OpenAI revealed plans for the “OpenAI Jobs Platform,” launching in mid-2026, which uses AI to match job candidates with employers based on skills analysis. Overseen by new CEO of Applications Fidji Simo, it includes features for small businesses and certifications via OpenAI Academy, partnering with Walmart to certify 10 million Americans by 2030. The announcement coincided with White House AI talks.
Significance: This marks OpenAI’s expansion into enterprise HR tools, directly competing with Microsoft-owned LinkedIn despite their partnership. It could democratize AI talent access but raises questions about bias in AI hiring and data privacy.
Feedback: Excitement from tech talent seekers (TechCrunch post had 241 likes on X), with praise for inclusivity. However, some replies (48 total) expressed concerns over job displacement, and LinkedIn users joked about the rivalry. Experts see it as a smart pivot to monetize AI beyond chatbots.
Sources:

5. Title: MIT Study Reveals 95% of Companies See No ROI from AI Investments

Date: September 7, 2025
Context: An MIT Media Lab study analyzed over 300 AI initiatives and interviewed 50 executives, finding that despite $30-40 billion in generative AI spending, 95% of organizations reported zero financial returns after six months. Only 5% saw measurable gains, echoing the 1980s “productivity paradox” with early computers.
Significance: The findings challenge AI hype, suggesting implementation hurdles like integration and overhyped demos limit real-world value. It may temper investor enthusiasm and push companies toward more targeted AI use, drawing parallels to historical tech adoption curves.
Feedback: Resonated widely on X (New Yorker post: 113 likes, 61 reposts), with executives quoted as skeptical: “Nothing fundamental has shifted.” Critics called it a “reality check,” while optimists argued it’s early days (10 replies debating long-term potential). CEO confidence in AI strategies reportedly dropped to 49% this year.
Sources:

X Post by The New Yorker: https://x.com/NewYorker/status/1964589001848832093

The New Yorker: https://www.newyorker.com/news/the-financial-page/the-ai-profits-drought-and-the-lessons-of-history

Disclaimer: This publication includes content generated with the assistance of artificial intelligence systems. Although efforts have been made to verify accuracy and provide reliable sources, AI technologies may produce errors, omissions, or outdated information. The content is provided for informational purposes only and should not be construed as legal, financial, or professional advice. Neither the publishers nor the AI providers assume liability for any inaccuracies or decisions made based on this material. Readers are encouraged to independently confirm all information before relying upon it.

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