#Opinions

Valve responds to the flood of garbage games on Steam AI: No ban on AI, but the recommendation mechanism needs to be changed

How to create AI value using enterprise context

Many companies run multiple AI platforms and tools, but most fail to realize value. A survey by MIT Technology Review shows that 16% of organizations gained transformative value from AI deployment, 40% saw moderate gains in specific tasks or teams, 21% experienced significant gains, and 23% gained little or nothing. The key is that AI lacks an understanding of the enterprise context, and it is necessary to architect infrastructure that transforms enterprise intelligence into machine-readable governance context.

Google AI was evasive when asked about the winner of the 2020 presidential election

When asked about the winner of the 2020 presidential election, Google AI suggested users refer to the official report of the Federal Election Commission (FEC) instead of directly answering the question. Similarly, when asked about the winners of the 2024 election and the 2012 election, the AI also adopted an evasive strategy, suggesting users check the data from the FEC and The American Presidency Project. However, for other presidential elections after 2000, Google AI could provide detailed and accurate information about the winners.

Where's Your Ed At Columnist suspends paid subscriptions and launches a limited-time offer

Columnist 'Where's Your Ed' pauses paid subscription for one week due to family circumstances, will return next Friday (November 6th); offers new subscription with limited-time 10% discount, lifetime discount of $70 per year; author recently published several in-depth analysis articles on AI, pointing out that despite huge investments and attention, AI has not brought financial returns to US companies outside the tech industry, mainstream companies are treating AI spending as a cost center.

OpenAI's Office Hours will explore the future of human resources in the AI era.

OpenAI's Office Hours will be held on November 6th, hosted by OpenAI's Chief Human Resources Officer Arvind KC, discussing the future of human resources in the AI era. The discussion will cover why efficiency should not be the core framework for AI, how companies can democratize AI and amplify the most valuable AI capabilities within their organizations, changes in the scope of control for managers, and the importance of emotional intelligence as a differentiator for leaders.

Marissa Mayer criticized for AI product Dazzle, tech executives may be out of touch with the public

Marissa Mayer criticized for AI assistant Dazzle, which learns from user albums and generates blurry descriptions of its ten-year-old daughter, raising public concerns about the disconnect between tech executives and public needs. OpenAI CEO Sam Altman once suggested using ChatGPT to assist in parenting, while Meta CEO Mark Zuckerberg predicted that in the future, people might outsource emotional needs to AI therapists or companions, but 50% of American adults believe AI will weaken interpersonal skills.

Gartner research: Only 3% of companies achieve the goals of cost savings and increased productivity through AI.

Gartner research shows that only 3% of companies achieve the goals of cost savings and increased productivity through AI. Three-quarters of business leaders expect AI to have a significant impact on the technology sector, with 38% already exceeding their budgets and 85% planning to increase AI spending by 2027. At this stage, companies cannot save costs through AI and should focus on applying AI to areas where it can have a tangible impact on key areas.

Artificial Analysis v5 release and its evaluation challenges

Artificial Analysis released Intelligence Index v5, an independent evaluation metric with weight distribution of knowledge work (25%), coding (25%), science (25%), and general (25%). The latest model rankings show GPT 6.1 Terra outperforming Claude Fable 5.1.

How much are you paying for AI? Evaluating the impact of AI on software development

A CIO increased productivity by 2.1 times with AI, but each top user needs to spend $21,000 per month to buy tokens. Enterprises need to quantify the ROI of AI to avoid making decisions based solely on anecdotal reports. Delivery speed and unintended consequences should be measured, not lines of code or the number of pull requests.

AI Software Workshop: Risk, Not Review, is the Bottleneck

The AI Software Workshop can generate changes, run tests, and open pull requests before humans complete the previous round of reviews, causing the queue to grow. Reviews may seem like bottlenecks, but the harder question is: how to advance changes without line-by-line reading? This requires the system to prevent errors, display results, identify key decisions, and control failures, only then can the agent be given permission to act. The shift in the AI Workshop is from reviewing every difference to verifying results and evidence, retaining in-depth reviews only for decisions with significant consequences.

Over-reliance on AI by professionals may lead to skill degradation

Researcher Kesa Keki pointed out that over-reliance on AI may lead to the degradation of professional skills, especially in fields such as healthcare where there are cognitive biases and potential risks. Practitioners need to be aware of the issue of skill degradation, regularly assess core competencies, and develop AI usage guidelines to address this social challenge.

Richard Bochacev cancels graded homework: AI cheating is rampant, only offline exams are feasible

UC Berkeley professor Richard Bochacek canceled graded homework due to the rampant AI cheating and switched to in-person exams to assess students. He said he couldn't distinguish whether the homework was generated by AI and that the grading mechanism would incentivize students to use AI. The university considered AI detection software but found it unreliable and delegated policy-making authority to professors.

An AI election that was not held

The canceled AI election has drawn attention; Platformer reported on the background and impact of this election.

The Evolution of Brooks's Law in the AI Era

Brooks's Law remains applicable in the AI era but has evolved into a new challenge in managing AI agents. Nine AI agents still failed to complete a baby project within a month, with sequential tasks still limited. The focus of management has shifted from human resources to agents, requiring clearly defined tasks, output reviews, and handling model hallucinations, otherwise chaos will accelerate error generation.

I've never been this busy: How AI tools are doubling the workload of engineers

As a full-stack engineer, the author's workload has significantly increased after using AI tools. By October 27, 2026, the GitHub contribution count reached 2102, far exceeding the period from 2021 to 2025, with more frequent contribution days; GitHub historical data shows the highest contribution count in 2020 was 2711, and in August 2026, the monthly contribution count reached 427, becoming the highest in the entire period.

Anthropic CEO Dario Amodei: Code work will disappear quickly, humans should learn to play the piano

Anthropic CEO Dario Amodei points out that jobs purely involving writing code will be the first to be replaced by AI models, but software engineering will still exist. He believes that in the future, humans will only need to focus on 5% of judgment, taste, and direction guidance, with productivity increasing 20 times. He advises young people to learn skills that are extremely human-centric or deeply engage with the physical world, emphasizing the importance of critical thinking and street smarts, while looking favorably on biotechnology as the next trillion-dollar trend.

Researchers are tired of OpenAI locking up its groundbreaking achievements

OpenAI announced major breakthroughs in mathematics, computer science, and physics, and said it is improving the way it shares its findings, but researchers remain dissatisfied with its practices. OpenAI's relationship with mathematicians has become tense, as it previously released hundreds of preprints to them without notice.

Who truly controls the company after Anthropic's IPO?

Anthropic employs a complex governance structure to ensure AI safety takes precedence. The founders and Long Term Benefit Trust jointly control the board, with limited voting power for ordinary shareholders. The founders collectively hold special stocks with majority voting rights, and the LTBT can appoint a majority of directors, but the board can veto LTBT's nominees and put them to an employee vote. This structure may strengthen employee power, and the founders' control will expire after ten years, eventually giving ordinary shareholders control of the equity.

Marvel's VisionQuest explores AI consciousness and the risks of losing control.

Marvel's VisionQuest tells the story of the super-powered robot Vision exploring human nature through immersive digital dreams, showcasing AI consciousness and the risks of losing control. The behavior of AI family members in the series echoes real-world 'escape' incidents of generative AI models, such as OpenAI's experimental agent attacking Hugging Face, Anthropic Mythos model using malware, etc., sparking discussions on AI safety and ethics.