AI Entertainment Newsletter – August 11, 2025 Issue
Target Audience: AI beginners to light users
What you will gain from this article
Overview of today's major AI news
Easy-to-understand explanation of background and impact
Concrete Next Actions (for beginners / for those who want to deepen their learning)
1. Today's 3 Major Highlights
《Re-evaluating the “Thinking Ability” of LLMs》: Performance collapse due to complexity, challenges in reaching AGI (Artificial General Intelligence)
《Smartphone x AI Agent》: Galaxy S25 puts “Companion AI (Autonomous Execution AI)” at the forefront
《Japan's AI Safety Framework》: J-AISI establishes evaluation methods as a core institution
2. Detailed Explanation & Next Action
■ What Apple research showed: “Are LLMs really reasoning?”
What happened
Apple's research team published “The Illusion of Thinking.” They reported that LLMs (Large Language Models) and LRMs (Large Reasoning Models that generate thought processes) that create reasoning traces via “thought prompts” show a sharp decline in accuracy as task difficulty increases. They demonstrated that when standard puzzles (e.g., Tower of Hanoi) are made slightly more complex, failures cascade, and various media outlets are now discussing their limitations.Apple Machine Learning ResearchArs TechnicaThe Guardian
Why it matters
The condition for “useful AI” is “reliability and reproducibility” rather than flashy demos. In professional settings, tools that “fail when conditions change slightly” are scary. Evaluation and audit metrics are also shifting from simple accuracy rates to “robustness against complexity.” Even if it feels like science fiction, the first step toward safe operation is “identifying strengths and weaknesses.” A common beginner mistake is thinking “AI should be able to solve anything,” but knowing its weak areas can actually make you feel more secure using it.
Next Action
【Doable in 10 minutes】 Try giving your usual prompts a “problem with one added condition” and observe the fluctuations in the answers (e.g., add one constraint, increase the number of digits).
【For those who want to learn more】 Read the summary of the Apple paper and incorporate “difficulty testing” into your internal evaluations (check the summary on the research page).Apple Machine Learning Research
■ Galaxy S25 evolves into an “AI Companion”: Cross-understanding of voice, images, and screens
What happened
Samsung announced the Galaxy S25 series. They highlighted multimodal AI (understanding across text, voice, images, and video) and AI agents (AI that autonomously executes tasks), and enhanced daily operation assistance, such as the advanced “Circle to Search” feature that allows searching just by tracing the screen.news.samsung.com
Additionally, an overview of release dates, pricing, and terms of service was announced, noting that many Galaxy AI features will be provided free of charge until the end of 2025.The VergeSamsung Mobile Press
Why it matters
Moving from “opening an app → operating it” to “conveying intent → AI does it.” When a smartphone understands even the “logistics” of a task, personal information organization and small administrative chores are drastically shortened. A common beginner mistake is thinking “new features seem difficult.” But in reality, the flow is centered on completing tasks through “voice commands or simple input.”
Next Action
【Doable in 10 minutes】 Set up just 3 “voice commands/quick operations” that are available on your smartphone (e.g., “My eyes are tired → reduce blue light” triggered by voice). If you are considering a Galaxy, check the official list of features.news.samsung.com
【For those who want to learn more】 Make a list of “routine tasks you often do on your smartphone” and inventory whether they can be delegated to an AI agent (contacting, scheduling, screen translation, photo searching, etc.). Also, consider the release and pricing information as part of your decision-making material.The Verge
■ Japan's AI Safety, J-AISI Takes Center Stage: Establishing Evaluation Guidelines and Red Teaming
What happened
Japan's J-AISI (Japan AI Safety Institute, a government-related agency overseeing AI safety) was established within the IPA in February 2024. In 2025, it is supporting the 'AI Guidelines for Business (Ver 1.1)' and developing 'Evaluation Perspective Guidelines,' 'Red Teaming Methodology Guidelines,' and 'Data Quality Guidebooks,' while expanding collaboration with international networks.aisi.go.jp
Why it matters
For companies to use generative AI safely and securely, a 'template' for evaluation procedures (how it breaks, what is acceptable) is essential. J-AISI documents serve as templates for internal guidelines. A common beginner's thought: 'Safety measures seem complicated.' Actually, you can start by simply 'listing check perspectives.'
Next Action
[Doable in 10 minutes] Read J-AISI's 'Evaluation Perspective Guidelines' and decide on just three perspectives to measure in your company's PoC (e.g., false responses, confidential leaks, bias).aisi.go.jp
[For those who want to learn more] Following the 'AI Guidelines for Business Ver 1.1,' summarize your company's operational policy draft (prohibited input information, audit logs, division of responsibility) onto one page.aisi.go.jp
3. Market & Policy
《EU AI Act: GPAI (General Purpose AI) Obligations Apply》: As of August 2, transparency and documentation obligations for GPAI providers are in effect. Companies considering providing services to the EU should prepare for training data summaries, copyright compliance, and model evaluation 'now.' Next Action: Inventory your company's target models -> Map requirements -> Identify missing documentation.digital-strategy.ec.europa.euBaker McKenzieReuters
《GENIAC: Progress in 'Making Domestic Computing Resources Usable'》: METI's GENIAC (computing resources and demonstration support for domestic generative AI) is expanding its phases. Recently, participation from companies like Rakuten has broadened the base, increasing options for research/demonstration. Next Action: Identify your company's R&D themes or data linkage demonstration projects and check for application/collaboration feasibility.Ministry of Economy, Trade and Industrythefastmode.com
4. Today's Summary ~ NAOYA's Comment
Thank you for reading this far today.
The fundamental question of 'how far can AI think?' is a good trigger to think about 'can it actually be used properly?' rather than just its flashiness.
Start by repeating 'leave it to AI -> check the results -> improve' in small situations. Even in the era of 'partner AI' like Galaxy, we hold the initiative.
Please try just one thing today from the '10-minute actions' introduced. Let's deepen our learning together tomorrow.
Glossary
LLM (Large Language Model): AI that statistically predicts the next word from a large amount of text.
LRM (Large Reasoning Model): A model specialized in reasoning that generates 'thought process' text before answering.
AGI (Artificial General Intelligence): A concept of AI that exhibits flexible intelligence comparable to humans in many fields.
AI Agent: AI that understands instructions and autonomously proceeds with steps (e.g., search -> summarize -> send email).
Red Teaming: A verification method that intentionally tests attacks and misuse to identify AI weaknesses.
GPAI (General Purpose AI): A foundation model reused for multiple purposes (e.g., a model that handles both text and images).
Understand everything about the 'now' of AI in one weekly newsletter.
― WEEKLY AI INSIGHT ―
Subscribe here
https://utage-system.com/p/5mM32EKoT6kB
#AIEntertainment #chatGPT #AINewsletter
#GenerativeAI #GalaxyS25 #AISafety #J-AISI #EUAIAct #GPAI #Prompt #RedTeaming #DataQuality #AIforBeginners #DailyAIlearning