Showing posts with label FutureOfAI. Show all posts
Showing posts with label FutureOfAI. Show all posts

Sunday, October 18, 2026

Claude vs Gemini For Google Workspace Productivity

The integration of Claude AI into Google Workspace apps like Docs, Sheets and Slides offers practical solutions for handling everyday professional tasks. According to Your AI Workflow, one standout feature is Claude’s ability to analyze past communications to draft emails, organize shared files and create detailed meeting agendas. This functionality addresses common challenges in managing collaborative workflows, offering a reliable way to streamline repetitive processes. Discover how Claude AI enhances productivity across Google Workspace with task-specific features……..Continue reading…

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Source:  Geeky Gadgets

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Critics:

Claude is a generative AI chatbot. It sometimes uses artifacts, a feature introduced in June 2024 to generate and interact with code snippets and documents. In 2025, Anthropic added a web search feature to Claude. Claude Pro and Claude Max are subscription services for additional access to Claude models. Max provides higher usage limits at an additional cost. Grouped subscriptions include Claude Team and Claude Enterprise.

According to card-spend data from Ramp, the share of businesses on its platform paying for Anthropic products rose 4.9 percentage points in February 2026, to 24.4%, the largest monthly gain Ramp had recorded for the company. Claude is reportedly named after Claude Shannon, a 20th-century mathematician who laid the foundation for information theory.

A Claude feature allows users to share chats with anyone who has the link. In September 2025, Forbes reported that hundreds of shared Claude chats had appeared in Google Search results, following similar incidents involving OpenAI’s ChatGPT and xAI’s Grok. In July 2026, shared chats and Artifacts were again found to be indexed by Google.

The BBC counted more than 200, some containing health records and corporate documents. The affected chats were those whose links had been posted on the public internet. Technical analysis suggested that a robots.txt rule blocking crawlers from shared-chat pages also prevented them from reading the noindex directive meant to keep the pages out of search results. Anthropic said the listings had been removed.

Claude is also provided through an application programming interface (API). In October 2024, the “computer use” feature was introduced by which an application can call the Claude API to attempt to give navigational control of the application via Claude’s interpretation of screen content and simulation of keyboard and mouse input.

Claude Code, released in February 2025, is an agentic command line tool to delegate coding tasks from the terminal using natural language prompts. It was made generally available in May 2025 alongside Claude 4. Based on enterprise adoption, Anthropic reported a 5.5x increase in Claude Code revenue by July.

On October 20, 2025, Anthropic launched a web version of Claude Code and a sandboxing feature. Coinciding with performance improvements tied to Claude Opus 4.5, Claude Code went viral during the 2025–2026 winter holidays when people had time to experiment with it, including many non-programmers who used it for vibe coding.

In August 2025, Anthropic reported that cybercriminals it designated “GTG-2002” had used Claude Code in a data-extortion campaign against at least 17 organizations. In November 2025, Anthropic said that in September a China-based cybercrime group had used Claude Code to automate 80–90% of its espionage cyberattacks against 30 organizations.

Claude Code is used by Microsoft and Google, and was used by OpenAI employees until August 2025, when Anthropic revoked OpenAI’s API access, calling it “a direct violation of our terms of service”. In February 2026, Anthropic introduced Claude Code Security, which reviews codebases to identify vulnerabilities. In March 2026, the source code for the Claude Code command-line interface application was leaked, revealing multiple upcoming features and models.

In May 2026, Anthropic introduced “Dreaming”, a research-preview feature of its Managed Agents API that consolidates an agent’s persistent memory between sessions by merging duplicates and removing stale entries; a memory consolidation feature called autoDream had been identified in the March source code leak.

Claude Cowork is a tool similar to Claude Code but with a graphical user interface, aimed at non-technical users. It was released in January 2026 as a “research preview”. Cowork is available as a desktop application for Mac and Windows and through a web interface. It provides Claude with access to a sandboxed shell and to user-selected folders on the local file system, allowing the model to read, write and edit files, execute code, and chain multi-step tasks within a single conversation, such as organizing files on a user’s computer or generating documents from material in a local folder.

A Wall Street Journal reporter who tested the tool noted user concerns about granting an AI agent broad access to a personal computer. An early user reported that, after asking Cowork to organize the files on the desktop of his wife’s computer, it deleted all the family photos requiring the restoration of the images from an iCloud backup.

In February 2026, Anthropic announced a wider enterprise release of Cowork, adding connectors for services such as Google Drive, Gmail, Docusign and FactSet, and customizable plugins for domains including financial analysis, engineering and human resources.

The company described the update as a transition into an “enterprise-grade product”. In March 2026, Anthropic added Dispatch, which lets users send Cowork tasks from a phone to their computer, and allows Claude to operate programs on the user’s computer, such as web browsers or spreadsheet applications, to carry out tasks. According to developers, Cowork was mostly built by Claude Code.

Claude models are generative pre-trained transformers that have been trained to predict the next word in large amounts of text. Then, they have been fine-tuned using reinforcement learning from human feedback (RLHF) and constitutional AI in an attempt to enforce ethical guidelines.ClaudeBot searches the web for content. It was criticized by iFixit in 2024 for accessing their site over a million times a day to scrape content without permission, and also for the resulting excessive load on their system.

Anthropic introduced an approach to AI alignment called “Constitutional AI”. The constitution is a document used to train Claude to be harmless and helpful without relying on extensive or expensive human feedback. Time described this constitution as “somewhere between a moral philosophy thesis and a company culture blog post”.

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Friday, October 9, 2026

AI Race Shows Diverging Paths For China and The US

The US administration’s new AI action plan frames global development as an AI race with a single winner. Officials argue AI dominance brings economic, military, and geopolitical advantages. Experts say competition is unfolding across multiple domains. The United States continues to lead in the development of advanced large language and multimodal models by firms such as OpenAI, Google, and Anthropic. American companies also dominate global computing infrastructure. Control over high-end AI chips and data-centre capacity remains concentrated in US firms…………Continue reading…..

Source: DigWatch

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Critics:

Increased automation often causes workers to feel anxious about losing their jobs as technology renders their skills or experience unnecessary. Early in the Industrial Revolution, when inventions like the steam engine were making some job categories expendable, workers forcefully resisted these changes. Luddites, for instance, were English textile workers who protested the introduction of weaving machines by destroying them.

More recently, some residents of Chandler, Arizona, have slashed tires and pelted rocks at self-driving car, in protest over the cars’ perceived threat to human safety and job prospects. The relative anxiety about automation reflected in opinion polls seems to correlate closely with the strength of organized labor in that region or nation.

For example, while a study by the Pew Research Center indicated that 72% of Americans are worried about increasing automation in the workplace, 80% of Swedes see automation and artificial intelligence (AI) as a good thing, due to the country’s still-powerful unions and a more robust national safety net. According to one estimate, 47% of all current jobs in the US have the potential to be fully automated by 2033.

Furthermore, wages and educational attainment appear to be strongly negatively correlated with an occupation’s risk of being automated. Erik Brynjolfsson and Andrew McAfee argue that “there’s never been a better time to be a worker with special skills or the right education, because these people can use technology to create and capture value. However, there’s never been a worse time to be a worker with only ‘ordinary’ skills and abilities to offer, because computers, robots, and other digital technologies are acquiring these skills and abilities at an extraordinary rate.”

Others however argue that highly skilled professional jobs like a lawyer, doctor, engineer, journalist are also at risk of automation. According to a 2020 study in the Journal of Political Economy, automation has robust negative effects on employment and wages: “One more robot per thousand workers reduces the employment-to-population ratio by 0.2 percentage points and wages by 0.42%.”

A 2025 study in the American Economic Journal found that the introduction of industrial robots reduced 1993 and 2014 led to reduced employment of men and women by 3.7 and 1.6 percentage points. Research by Carl Benedikt Frey and Michael Osborne of the Oxford Martin School argued that employees engaged in “tasks following well-defined procedures that can easily be performed by sophisticated algorithms” are at risk of displacement, and 47% of jobs in the US were at risk.

The study, released as a working paper in 2013 and published in 2017, predicted that automation would put low-paid physical occupations most at risk, by surveying a group of colleagues on their opinions. However, according to a study published in McKinsey Quarterly in 2015 the impact of computerization in most cases is not the replacement of employees but the automation of portions of the tasks they perform. The methodology of the McKinsey study has been heavily criticized for being intransparent and relying on subjective assessments.

The methodology of Frey and Osborne has been subjected to criticism, as lacking evidence, historical awareness, or credible methodology. Additionally, the Organisation for Economic Co-operation and Development (OECD) found that across the 21 OECD countries, 9% of jobs are automatable. Based on a formula by Gilles Saint-Paul, an economist at Toulouse 1 University, the demand for unskilled human capital declines at a slower rate than the demand for skilled human capital increases.

In the long run and for society as a whole it has led to cheaper products, lower average work hours, and new industries forming (i.e., robotics industries, computer industries, design industries). These new industries provide many high salary skill-based jobs to the economy. By 2030, between 3 and 14 percent of the global workforce will be forced to switch job categories due to automation eliminating jobs in an entire sector.

While the number of jobs lost to automation is often offset by jobs gained from technological advances, the same type of job loss is not the same one replaced and that leading to increasing unemployment in the lower-middle class. This occurs largely in the US and developed countries where technological advances contribute to higher demand for highly skilled labor but demand for middle-wage labor continues to fall.

Economists call this trend “income polarization” where unskilled labor wages are driven down and skilled labor is driven up and it is predicted to continue in developed economies. Lights-out manufacturing is a production system with no human workers, to eliminate labor costs. It grew in popularity in the U.S. when General Motors in 1982 implemented humans “hands-off” manufacturing to “replace risk-averse bureaucracy with automation and robots”. However, the factory never reached full “lights out” status.

The expansion of lights out manufacturing requires:

  • Long-term mechanic capabilities
  • Planned preventive maintenance
  • Commitment from the staff

Engineers can now have numerical control over automated devices. The result has been a rapidly expanding range of applications and human activities. Computer-aided technologies (or CAx) now serve as the basis for mathematical and organizational tools used to create complex systems. Notable examples of CAx include computer-aided design (CAD software) and computer-aided manufacturing (CAM software). The improved design, analysis, and manufacture of products enabled by CAx has been beneficial for industry.

Information technology, together with industrial machinery and processes, can assist in the design, implementation, and monitoring of control systems. One example of an industrial control system is a programmable logic controller (PLC). PLCs are specialized hardened computers which are frequently used to synchronize the flow of inputs from (physical) sensors and events with the flow of outputs to actuators and events.

Human-machine interfaces (HMI) or computer human interfaces (CHI), formerly known as man-machine interfaces, are usually employed to communicate with PLCs and other computers. Service personnel who monitor and control through HMIs can be called by different names. In the industrial process and manufacturing environments, they are called operators or something similar. In boiler houses and central utility departments, they are called stationary engineers.

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