Technology
A0 Printer Price: Factors to Consider When Investing in Large Format Printing

Introduction
Investing in an A0 printer for large format printing can be a significant decision for businesses, architects, engineers, and design professionals. The price of an A0 printer is a crucial factor to consider, as it directly impacts the budget and return on investment. However, it’s important to remember that the price alone should not be the determining factor. This article explores the key considerations beyond the A0 printer price that are essential when investing in large format printing, ensuring you make an informed decision that aligns with your specific requirements.
- Print Quality and Resolution
One of the primary factors to consider when investing in an A0 printer is print quality and resolution. Look for printers that offer high-resolution capabilities to produce sharp and detailed prints. The resolution is measured in dots per inch (dpi), and a higher dpi indicates better print quality. Ensure the printer you choose can deliver the clarity and precision required for your specific printing needs.
- Printing Speed and Efficiency
In addition to print quality, consider the printing speed and efficiency of the A0 printer. Evaluate the printer’s pages-per-minute (ppm) rating to gauge its performance. A faster printing speed allows for increased productivity and faster turnaround times. However, striking a balance between speed and print quality is crucial to ensure optimal results. Assess your printing requirements and choose a printer to meet your desired output while maintaining excellent print quality.
- Media Handling and Compatibility
The ability of an A0 printer to handle different types of media is another crucial consideration. Look for printers that can accommodate a variety of media sizes and types, such as different weights of paper, cardstock, or even specialized media like vinyl or film. The versatility in media handling expands your printing possibilities and allows you to undertake a broader range of projects. Ensure that the printer you choose is compatible with the specific media types required for your applications.
- Connectivity Options and Network Integration
Seamless connectivity and network integration are essential for efficient printing operations. Consider the connectivity options provided by the A0 printer, such as USB, Ethernet, or wireless connectivity. The ability to connect the printer to your existing network infrastructure streamlines the printing process and facilitates the easy sharing of files. Look for printers that offer compatibility with industry-standard software applications and support various file formats to ensure seamless integration into your workflow.
- Total Cost of Ownership
When evaluating the A0 printer price, it is vital to consider the total cost of ownership over its lifespan. Beyond the initial investment, assess the ongoing expenses such as ink or toner cartridges, printheads, and maintenance kits. Some printers offer cost-saving features like high-capacity ink cartridges or energy-efficient modes, which can reduce long-term operating costs. Additionally, consider the reliability and durability of the printer, as a robust and dependable device will minimize maintenance requirements and potential downtime, optimizing your investment.
Conclusion
Investing in an A0 printer for large format printing requires careful consideration of several factors beyond the initial price. Print quality, printing speed, media handling capabilities, connectivity options, and total cost of ownership are all crucial aspects to evaluate. Considering these factors helps you make an informed decision and choose the best A0 printer that aligns with your printing needs and budget.
Remember, the best large format plotters balance price and performance, delivering high-quality prints, efficient workflow, and long-term value. Take the time to research and compare different models, read reviews, and, if possible, test the printers to ensure they meet your specific requirements.
Ella Raven
Technology
OpenAI pursued Cursor maker before entering into talks to buy Windsurf for $3B

When news broke that OpenAI was in talks to acquire AI coding company Windsurf for $3 billion, one of the first questions on the mind of anyone following the space was likely: “Why not buy Cursor creator Anysphere instead?”
After all, OpenAI Startup Fund has been an investor in Anysphere, the maker of Cursor, since the quickly growing coding assistant’s seed round in late 2023. (Anysphere is often referred to by its product name, Cursor.) It turns out that OpenAI indeed approached Anysphere in 2024 and again earlier this year about a potential acquisition, according to a report from CNBC. The talks failed. Instead, Anysphere has been in talks to raise capital at about $10 billion valuation, Bloomberg reported last month.
OpenAI’s desire to move on to acquisition discussions with another coding assistant maker signals how important capturing a slice of the code generation market has become for the ChatGPT maker. Windsurf is generating about $40 million in annualized recurring revenue (ARR), TechCrunch reported in February. Meanwhile, Anysphere’s Cursor reportedly makes about $200 million on an ARR basis.
While OpenAI’s Codex CLI “agent,” which the company released Wednesday, can also write and edit code, its attempt to buy Windsurf suggests the company doesn’t want to wait for CLI to gain traction with customers.

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Technology
Google’s latest AI model report lacks key safety details, experts say

On Thursday, weeks after launching its most powerful AI model yet, Gemini 2.5 Pro, Google published a technical report showing the results of its internal safety evaluations. However, the report is light on the details, experts say, making it difficult to determine which risks the model might pose.
Technical reports provide useful — and unflattering, at times — info that companies don’t always widely advertise about their AI. By and large, the AI community sees these reports as good-faith efforts to support independent research and safety evaluations.
Google takes a different safety reporting approach than some of its AI rivals, publishing technical reports only once it considers a model to have graduated from the “experimental” stage. The company also doesn’t include findings from all of its “dangerous capability” evaluations in these write-ups; it reserves those for a separate audit.
Several experts TechCrunch spoke with were still disappointed by the sparsity of the Gemini 2.5 Pro report, however, which they noted doesn’t mention Google’s Frontier Safety Framework (FSF). Google introduced the FSF last year in what it described as an effort to identify future AI capabilities that could cause “severe harm.”
“This [report] is very sparse, contains minimal information, and came out weeks after the model was already made available to the public,” Peter Wildeford, co-founder of the Institute for AI Policy and Strategy, told TechCrunch. “It’s impossible to verify if Google is living up to its public commitments and thus impossible to assess the safety and security of their models.”
Thomas Woodside, co-founder of the Secure AI Project, said that while he’s glad Google released a report for Gemini 2.5 Pro, he’s not convinced of the company’s commitment to delivering timely supplemental safety evaluations. Woodside pointed out that the last time Google published the results of dangerous capability tests was in June 2024 — for a model announced in February that same year.
Not inspiring much confidence, Google hasn’t made available a report for Gemini 2.5 Flash, a smaller, more efficient model the company announced last week. A spokesperson told TechCrunch a report for Flash is “coming soon.”
“I hope this is a promise from Google to start publishing more frequent updates,” Woodside told TechCrunch. “Those updates should include the results of evaluations for models that haven’t been publicly deployed yet, since those models could also pose serious risks.”
Google may have been one of the first AI labs to propose standardized reports for models, but it’s not the only one that’s been accused of underdelivering on transparency lately. Meta released a similarly skimpy safety evaluation of its new Llama 4 open models, and OpenAI opted not to publish any report for its GPT-4.1 series.
Hanging over Google’s head are assurances the tech giant made to regulators to maintain a high standard of AI safety testing and reporting. Two years ago, Google told the U.S. government it would publish safety reports for all “significant” public AI models “within scope.” The company followed up that promise with similar commitments to other countries, pledging to “provide public transparency” around AI products.
Kevin Bankston, a senior adviser on AI governance at the Center for Democracy and Technology, called the trend of sporadic and vague reports a “race to the bottom” on AI safety.
“Combined with reports that competing labs like OpenAI have shaved their safety testing time before release from months to days, this meager documentation for Google’s top AI model tells a troubling story of a race to the bottom on AI safety and transparency as companies rush their models to market,” he told TechCrunch.
Google has said in statements that, while not detailed in its technical reports, it conducts safety testing and “adversarial red teaming” for models ahead of release.

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.
Technology
xAI adds a ‘memory’ feature to Grok

Elon Musk’s AI company, xAI, is slowly bringing its Grok chatbot to parity with top rivals like ChatGPT and Google’s Gemini.
Wednesday night, xAI announced a “memory” feature for Grok that enables the bot to remember details from past conversations. Now, if you ask Grok for recommendations, it’ll give more personalized responses — assuming you’ve used it enough to allow it to “learn” your preferences.
ChatGPT has long had a similar memory feature, which was recently upgraded to reference a user’s entire chat history. Gemini, too, has persistent memory to tailor its replies to individual people.
“Memories are transparent,” reads a post from the official Grok account on X. “[Y]ou can see exactly what Grok knows and choose what to forget.”
Grok now remembers your conversations. When you ask for recommendations or advice, you’ll get personalized responses. pic.twitter.com/UXhX7BjS57
— Grok (@grok) April 17, 2025
Grok’s new memory feature is available in beta on Grok.com and the Grok iOS and Android apps — but not for users in the EU or U.K. It can be toggled off from the Data Controls page in the settings menu, and individual “memories” can be deleted by tapping the icon beneath the memory from the Grok chat interface on the web (and soon Android).
xAI says that it’s working on bringing the memory feature to the Grok experience on X.

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.
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