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Amazon Spring Sale

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Smart Tech and Office Tools for Your Home

From Our Staff to You: Essential Items for Charging, Repairing, Listening, Cooking, Gardening, and Parenting

We’ve gathered a few of the items that our staff have enthused about in the past that they use for charging, repairing, listening, cooking, gardening, and parenting, and that are now discounted as part of Amazon’s Big Spring Sale. Just in case you’d like to check them out.

Silent Linear Mechanical Switches for Cherry MX- Compatible Keyboards

A fantastic silent linear mechanical switch for Cherry MX-compatible keyboards. Islets are smooth and quiet, with a long spring that gives them a top-heavy, almost tactile force curve. They’re 3-pin switches, so they work with most hot-swappable mechanical keyboards that take 3- or 5-pin switches.

Why We Love It

These are my current favorite switches. The Kailh Deep-Sea Silent Pro Islets are nearly identical to the fantastic switches in the HHKB Studio, just much less expensive. The Islets are silent linear switches, with an extra-long spring, so the actuation force curve is strongest right at the beginning and then smooth the rest of the way, giving them an almost Topre-like tactile sensation.

The Verdict

These switches are an instant upgrade for any hot-swappable keyboard that takes Cherry MX-compatible switches, and I’ve been using them as my daily drivers for a while. There’s also a tactile version, which I don’t like as much. Sorry to the Kailh Whales. — Nathan Edwards, senior reviews editor

Update, March 29th

Updated to reflect current pricing/availability.

Conclusion

These silent linear mechanical switches are a must-have for anyone looking for a top-notch typing experience. With their smooth and quiet operation, they’re perfect for those who prefer a more subtle typing experience. And with their compatibility with most hot-swappable mechanical keyboards, you can rest assured that you’ll be able to use them with your favorite keyboard.

Frequently Asked Questions

Q: What are silent linear mechanical switches?
A: Silent linear mechanical switches are a type of switch that provides a smooth and quiet typing experience. They’re designed to be used with Cherry MX-compatible keyboards and are known for their long-lasting and reliable performance.

Q: What is the difference between silent linear and tactile switches?
A: Tactile switches provide a more pronounced tactile feedback, while silent linear switches provide a more subtle and smooth experience. Tactile switches are often preferred by gamers and typists who require a more pronounced feedback, while silent linear switches are preferred by those who prefer a more subtle experience.

Q: Are silent linear mechanical switches compatible with all keyboards?
A: No, silent linear mechanical switches are only compatible with keyboards that take 3- or 5-pin switches. They’re designed to be used with Cherry MX-compatible keyboards, so make sure to check your keyboard’s compatibility before purchasing.

Which One Suits Your Business?

What Happens When AI Makes All the Decisions Without Humans?

A. Faster Work
B. More Errors
C. No Jobs for People
D. All of the Above

If you chose D, you’re right! AI is smart, but it still makes mistakes. That’s why augmented collective intelligence is growing fast. It helps people make better choices instead of replacing them.

Businesses Know This

Investments in artificial intelligence grew by 29% in one year, showing how fast AI is evolving. But companies don’t want AI to take over; they want it to help. That’s where augmented human intelligence comes in.

Think of It as a Smart Tool

It gives suggestions, but the driver (a human) still decides where to go. This is the future—not just AI replacing people, but AI and humans working together.

Augmented Intelligence Enhances Human Decision-Making, While AI Automates Tasks

Augmented intelligence is AI designed to boost human thinking instead of replacing it. It helps people make better choices with real-time data insights.

What is Augmented Intelligence?

Augmented intelligence is AI that works alongside humans, providing support by analyzing vast amounts of information and enhancing decision-making processes.

Augmented Intelligence vs. Other AI Approaches

Many assume all AI works the same way. But the augmented intelligence framework is different.

Applications

Augmented Intelligence: Healthcare, finance, customer service

Artificial Intelligence: Manufacturing, logistics, self-driving cars

Augmented Intelligence vs. Artificial Intelligence: A Direct Comparison

Factor Augmented Intelligence Artificial Intelligence
Goal Supports human decision-making Automates tasks entirely
Human Role Always involved Sometimes not needed
Decision Type AI provides insights, humans decide AI makes the final call
Risk Factor Lower (human oversight) Higher (fully automated)
Example AI-assisted medical diagnosis AI-powered self-driving cars

Final Thoughts

Both augmented intelligence and artificial intelligence have their place in modern industries. AI is best for automation, handling tasks without human help. Augmented intelligence is best for decision-making, where human judgment is still needed. Businesses must evaluate which approach fits their needs—automation for routine tasks or intelligence augmentation for complex decisions.

Want to Explore the Best AI Solutions for Your Business? Contact LITSLINK Today!

FAQs

Q: What is augmented intelligence?
A: Augmented intelligence is AI designed to boost human thinking instead of replacing it.

Q: What is the difference between AI and augmented intelligence?
A: AI is best for automation, while augmented intelligence is best for decision-making.

Q: Can AI and humans work together?
A: Yes, AI can be used to support human decision-making, rather than replacing it.

Q: What are the benefits of augmented intelligence?
A: Augmented intelligence can help people make better choices with real-time data insights, while AI can automate tasks without human help.

Bloomberg Has a Rocky Start with A.I. Summaries

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Bloomberg’s AI-Generated Summaries: A Mixed Bag

Experimenting with AI in Journalism

Bloomberg, the financial news powerhouse, has been experimenting with using artificial intelligence to help produce its journalism. While the idea is to provide a quick summary of the main points of an article, it hasn’t always gone smoothly.

Correcting Errors

The news outlet has had to correct at least three dozen AI-generated summaries of articles published this year. One such instance occurred on Wednesday, when Bloomberg broke news about President Trump’s auto tariffs. The article correctly reported that Mr. Trump would announce the tariffs as soon as that day. However, the bullet-point summary of the article written by AI inaccurately stated when a broader tariff action would take place.

Other News Outlets’ Experience

Bloomberg is not alone in trying AI. Many news outlets are figuring out how best to embrace the new technology and use it in their reporting and editing. The newspaper chain Gannett uses similar AI-generated summaries on its articles, and The Washington Post has a tool called "Ask the Post" that generates answers to questions from published Post articles.

Challenges and Controversies

However, problems have popped up elsewhere. Earlier this month, The Los Angeles Times removed its AI tool from an opinion article after the technology described the Ku Klux Klan as something other than a racist organization.

Bloomberg’s Response

Bloomberg News said in a statement that it publishes thousands of articles each day, and "currently 99 percent of AI summaries meet our editorial standards." The company added that it is transparent when stories are updated or corrected, and when AI has been used. Journalists have full control over whether a summary appears, both before and after publication, and can remove any that don’t meet their standards.

A.I. Summaries: Complementing Journalism

The AI summaries are "meant to complement our journalism, not replace it," the statement added. Bloomberg announced on January 15 that it would roll out the AI-generated summaries on top of news articles. The summaries consist of three bullet points condensing the main points of the article.

Editor-in-Chief’s Take

John Micklethwait, Bloomberg’s editor in chief, laid out the thinking about the AI summaries in a January 10 essay, which was an excerpt from a lecture he had given at City St. George’s, University of London. "Customers like it — they can quickly see what any story is about. Journalists are more suspicious," he wrote. "Reporters worry that people will just read the summary rather than their story."

Conclusion

While AI-generated summaries may have their benefits, such as providing a quick overview of an article, they are not without their challenges. Bloomberg’s experience highlights the need for careful editing and fact-checking to ensure the accuracy and reliability of AI-generated content.

Frequently Asked Questions

Q: How many AI-generated summaries have been corrected by Bloomberg?
A: At least three dozen AI-generated summaries of articles have been corrected by Bloomberg this year.

Q: What are the benefits of AI-generated summaries?
A: AI-generated summaries provide a quick overview of an article, allowing readers to quickly understand the main points of a story.

Q: What are the challenges of AI-generated summaries?
A: AI-generated summaries can be inaccurate, omit important information, or provide incomplete context, which can lead to misunderstandings and misinterpretations.

Q: What is the future of AI-generated summaries in journalism?
A: AI-generated summaries are expected to continue to play a role in journalism, providing a quick and concise overview of articles. However, it is essential to ensure the accuracy and reliability of AI-generated content through careful editing and fact-checking.

Elon Musk says xAI acquired X

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Elon Musk’s AI Startup Acquires Twitter in All-Stock Deal

Acquisition Details

Elon Musk’s AI startup, xAI, has acquired his social media platform X, formerly known as Twitter, in an all-stock deal, he announced in a post on X Friday. The combination values xAI at $80 billion and X at $33 billion ($45B less $12B debt).

Combination of Companies

Musk went on to describe the two companies’ futures as "intertwined." He added, "Today, we officially take the step to combine the data, models, compute, distribution, and talent." The acquisition places X — the highly influential social media platform Musk purchased in 2022 under its former name, Twitter — firmly under the umbrella of Musk’s AI startup, which he founded in 2023 to compete with OpenAI.

Structure of the Deal

According to publications including The Wall Street Journal, shares of X and xAI will be exchanged for shares of a new holding company called xAI Holdings Corp. The WSJ also reports that executives at both companies believed that it would be easier to raise money for a combined entity.

Valuation of X and xAI

Musk notes in his post that this deal values X at $33 billion (lowered from an enterprise value of $45 billion due to the company’s $12 billion in debt). Musk originally purchased X for $44 billion in October 2022 and took it private. However, the valuation has swung dramatically in recent years. At one point, Fidelity valued X at less than $10 billion.

xAI’s Advantages

One of the major advantages that xAI has over OpenAI and other startups is its access to X. The large body of posts that X has accumulated over the years gives xAI a significant advantage in the race for AI training data. Further, X gives Musk’s AI startup a huge consumer app to reach users in.

Conclusion

The acquisition of X by xAI marks a significant milestone in the development of Musk’s AI ambitions. With xAI’s access to X’s vast user base and data, the company is well-positioned to continue its rapid growth and development.

Frequently Asked Questions

Q: What is the valuation of xAI and X?
A: xAI is valued at $80 billion, and X is valued at $33 billion.

Q: What is the structure of the deal?
A: Shares of X and xAI will be exchanged for shares of a new holding company called xAI Holdings Corp.

Q: Why did Musk acquire X?
A: Musk acquired X to gain access to its vast user base and data, which will help xAI in its development of AI models and chatbots.

Q: What are the implications of this acquisition for OpenAI?
A: The acquisition may give xAI a significant advantage over OpenAI, as it will have access to X’s vast user base and data, which will help it in its development of AI models and chatbots.

DOGE Rebuilds Social Security Codebase

Legacy Code: The Challenge of Modernizing Government IT Systems

The Legacy of COBOL

Like many legacy government IT systems, SSA systems contain code written in COBOL, a programming language created in part in the 1950s by computing pioneer Grace Hopper. The Defense Department essentially pressured private industry to use COBOL soon after its creation, spurring widespread adoption and making it one of the most widely used languages for mainframes, or computer systems that process and store large amounts of data quickly, by the 1970s.

The Scope of the Problem

As recently as 2016, SSA’s infrastructure contained more than 60 million lines of code written in COBOL, with millions more written in other legacy coding languages, the agency’s Office of the Inspector General found. In fact, SSA’s core programmatic systems and architecture haven’t been "substantially" updated since the 1980s when the agency developed its own database system called MADAM, or the Master Data Access Method, which was written in COBOL and Assembler, according to SSA’s 2017 modernization plan.

The Challenges of Modernization

SSA’s core "logic" is also written largely in COBOL. This is the code that issues social security numbers, manages payments, and even calculates the total amount beneficiaries should receive for different services, a former senior SSA technologist who worked in the office of the chief information officer says. Even minor changes could result in cascading failures across programs.

The Risks of Inaction

"If you weren’t worried about a whole bunch of people not getting benefits or getting the wrong benefits, or getting the wrong entitlements, or having to wait ages, then sure go ahead," says Dan Hon, principal of Very Little Gravitas, a technology strategy consultancy that helps government modernize services, about completing such a migration in a short timeframe.

The Timeline for Modernization

It’s unclear when exactly the code migration would start. A recent document circulated amongst SSA staff laying out the agency’s priorities through May does not mention it, instead naming other priorities like terminating "non-essential contracts" and adopting artificial intelligence to "augment" administrative and technical writing.

Conclusion

The legacy code within SSA’s IT systems poses a significant challenge to modernization and poses risks to the delivery of services. While the timeline for modernization is unclear, it is essential to prioritize this effort to ensure the efficient and effective delivery of services to the public.

FAQs

Q: How much code is written in COBOL within SSA’s infrastructure?
A: As of 2016, SSA’s infrastructure contained more than 60 million lines of code written in COBOL.

Q: When was the last substantial update to SSA’s core programmatic systems and architecture?
A: The last substantial update was in the 1980s when the agency developed its own database system called MADAM.

Q: What are the risks of inaction when it comes to modernizing SSA’s IT systems?
A: The risks include the potential for cascading failures across programs, resulting in delayed or incorrect payments and benefits.

Q: What is the timeline for modernizing SSA’s IT systems?
A: The timeline for modernization is unclear, with recent priorities focusing on terminating "non-essential contracts" and adopting artificial intelligence to "augment" administrative and technical writing.

Assassin’s Creed Shadows

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A Shift in Focus: Assassin’s Creed Shadows

I realized quite late in Assassin’s Creed Shadows that being this version of a shinobi is hard — but it was precisely the precision the game demanded that made it all the more rewarding.

Stealth and Assassination in Shadows

With Shadows, the Assassin’s Creed franchise has achieved both its most impressive stealth and assassination mechanics. At its best, Shadows evokes games like Arkane’s Dishonored series, mixing emergent action with an artful blend of skills and scenarios. While not nearly at the level of sophistication as those games, I nevertheless had moments that left me breathless from what I could achieve. These put me more in the space of immersive simulated assassination games than the most recent, chest-thumping Assassin’s Creed games.

An Example of Strategic Play

Here’s an example. In Ubisoft’s open-world third-person action game, I was faced with a group of about 10 men in a dark cave, all of whom turned out to be targets I’d been hunting for ages. They were all part of one group, who I’d been carefully taking down individually — one leading me to the next. Now, after tracking one, it turned out he and his remaining colleagues had decided to hold a meeting. Together. With their guards. I hadn’t planned this, but now I either had to leave or use this opportunity to finish the job in one lethal swoop.

Assassin’s Creed Shadows Mechanics

Importantly, my character, the shinobi Naoe, was not without her own tricks to balance the overwhelming odds. First, she wasn’t alone. In Shadows, you organically recruit allies throughout your massive revenge quest. You can summon them at a moment’s notice to assist you in any scenario: from a barefisted fighter monk to a giggling, creepy teenage poisoner. Having "upgraded" my poisoner, her poison bomb put three enemies to sleep immediately. Her upgrades also meant anyone who came to investigate fell under the same spell. I began by summoning said poisoner to take out several of the targets and guards.

Second, Naoe herself has skills that verge on magical, such as slowing down time while moving at normal speed — again, reminiscent of Dishonored or Arkane’s other big hitter, Deathloop. Using this skill immediately after my poisoner allowed me to throw several deadly kunai at guards’ heads and move closer to the actual targets for a slick close-up double assassination.

The Size of the Problem

All of this happened within less than 20 seconds. And voila! All the targets and their guards were down.

A Murdery Puzzle

The size of these places turns this into a murdery puzzle. If I take Guard A out, I have access to Guards B and C. However, Guard D is watching Guard A, etc. Without realizing it, you have to create an assassination Rube Goldberg machine, taking one out, then another, timing it and using different abilities, recruits, and so on. It takes some time to get through these giant castles, but you’re rewarded with some of the best weapons and armor in the game. And if you’re caught, you are hunted for a while, making traversal a hazard.

Yasuke’s Style of Murder

Similarly, the other playable character, the samurai Yasuke, requires careful consideration, despite being a moving mountain. He doesn’t have eagle vision. He is made for loud lethality; even his instant assassinations sever heads and limbs. This creates its own thoughtful play since you need to carefully move and work your way through these large set pieces, ideally without drawing attention.

Yasuke’s advantage is that he can use a huge bow to take enemies out instantly from a distance — unlike Naoe, who has to be close. This speaks to the give-and-take theme central to the game’s mechanics. But Yasuke can more easily and quickly end alerts, making his style of murder puzzle less clean but easier to recover from should things go awry.

Conclusion

I did not expect Shadows to place so much work and thought into its assassinations, which is obviously amusing given the name of the franchise. Having played this series since its inception, I was struck by the emphasis on clean, thoughtful assassinations — not only within scripted contexts, but in the open world itself.

FAQs

Q: What is Assassin’s Creed Shadows?
A: Assassin’s Creed Shadows is an open-world third-person action game that focuses on stealth and assassination mechanics.

Q: What is the gameplay like in Assassin’s Creed Shadows?
A: Gameplay in Assassin’s Creed Shadows involves strategic planning, using different abilities and recruits to take out targets and guards, and creating a "murderous puzzle" to solve.

Q: Are there multiple playable characters in Assassin’s Creed Shadows?
A: Yes, there are two playable characters in Assassin’s Creed Shadows: Naoe, a shinobi, and Yasuke, a samurai.

Q: Is Assassin’s Creed Shadows a departure from the typical Assassin’s Creed gameplay?
A: Yes, Assassin’s Creed Shadows marks a departure from the typical Assassin’s Creed gameplay, focusing more on stealth and assassination mechanics rather than action and combat.

Build Enterprise AI Agents with Advanced Open NVIDIA Llama Nemotron Reasoning Models

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Organizations Embracing AI Agents to Enhance Productivity and Streamline Operations

Reasoning models have become a key part of the agentic AI ecosystem, tackling complex problems and making logical decisions autonomously in dynamic environments. These models are powering diverse applications, from automating customer support to optimizing supply chains and executing financial strategies.

NVIDIA Llama Nemotron Reasoning Model Family

Today, NVIDIA announced the NVIDIA Llama Nemotron family of leading AI models that deliver exceptional reasoning capabilities, compute efficiency, and an open license for enterprise use. The family comes in three sizes, providing developers with the right model size based on their use case, compute availability, and accuracy requirements.

Overview of Test-Time Scaling

Test-time scaling is a technique that applies more compute during inference time to think and reason through various options, improving the responses of the model or system. This enables scaling the performance of the model or system on key downstream tasks.

Building Llama Nemotron with Reasoning

Llama 3.3 Nemotron 49B Instruct started from a base of Llama 3.3 70B Instruct. It went through an extensive post-training phase to reduce the size of the model, while retaining—and then augmenting—the model’s original capabilities. Three broad phases of post-training were used: distillation, supervised fine-tuning, and reinforcement learning.

Powering Systems with Llama Nemotron Super for Complex Tasks

This section explains a new test-time scaling approach that uses a multi-agent collaborative system, powered by NVIDIA Llama 3.3 Nemotron 49B Instruct. It achieves state-of-the-art performance on the Arena Hard benchmark, a key predictor of Chatbot Arena performance.

Get Started with NVIDIA Llama Nemotron Models

A sophisticated combination of distillation, neural architecture search, reinforcement learning, and traditional alignment strategies were used to create the best-in-class NVIDIA Llama Nemotron reasoning models. These models enable you to select right-sized models that don’t compromise capability and were constructed to retain their instruction-following and function-calling strengths, ensuring that they are set up to be force multipliers in agentic AI systems.

Conclusion

The NVIDIA Llama Nemotron family of models provides a powerful tool for organizations to enhance productivity and streamline operations. By leveraging these models, organizations can automate complex tasks, optimize supply chains, and execute financial strategies more efficiently.

FAQs

Q: What are reasoning models?
A: Reasoning models are AI models that can tackle complex problems and make logical decisions autonomously in dynamic environments.

Q: What are the use cases for Llama Nemotron models?
A: Llama Nemotron models can be used for automating customer support, optimizing supply chains, and executing financial strategies, among other applications.

Q: How do I get started with Llama Nemotron models?
A: You can get started with Llama Nemotron models by exploring the model family and start prototyping on build.nvidia.com or deploying a dedicated API endpoint on any GPU-accelerated system, backed by NVIDIA AI Enterprise.

Anthropic Expands Claude AI to Enterprise with Domain-Specific AI Agents

Integrating Generative AI into Business: A New Initiative

Large organizations wanting to integrate generative AI into their business can find the process daunting, especially if they’re unsure how or where to start. A new initiative with Anthropic’s Claude AI aims to provide the tools for enterprises struggling with this challenge.

Partnership to Bring Claude AI to Over 10,000 Companies

In a new five-year partnership announced Thursday, Anthropic and AI company Databricks will offer Claude AI models through the Databricks Data Intelligence Platform, which helps businesses use AI with their internal data. The deal will bring the tools and technology to more than 10,000 companies.

Key to the Deal: Union between AI and Data

The key to the deal between Anthropic and Databricks is the union between AI and data. Many organizations who want to use AI need it to work with their own internal data. Toward that end, the two companies will provide the necessary tools to help enterprise customers build AI agents to tap into their corporate data.

Benefits to Customers

The team-up between Claude AI and the Databricks Data Intelligence Platform promises a few benefits to customers:

  • Domain-specific AI agents to handle enterprise data: Customers will have the tools to help them build and deploy domain-specific agents to work with large and diverse datasets.
  • Claude integration with the Data Intelligence Platform: Claude models will integrate directly with the Data Intelligence Platform. This means customers won’t have to manually replicate any data to use it with Claude’s AI.
  • Unified governance and responsible AI development: Customers can enforce the proper security and access controls over their AI agents and their data. Monitoring tools will allow them to look out for possible misuse and ensure that their AI system follows specific ethical rules.

Conclusion

The partnership between Anthropic and Databricks aims to provide the tools for enterprises to integrate generative AI into their business. With the union between AI and data, the two companies will offer Claude AI models through the Databricks Data Intelligence Platform, bringing the tools and technology to over 10,000 companies.

FAQs

Q: What is the key to the deal between Anthropic and Databricks?
A: The key to the deal is the union between AI and data, allowing organizations to use AI with their internal data.

Q: What are the benefits to customers of the partnership between Claude AI and the Databricks Data Intelligence Platform?
A: The benefits include domain-specific AI agents, Claude integration with the Data Intelligence Platform, and unified governance and responsible AI development.

Q: How many companies will be impacted by the partnership?
A: The partnership will bring the tools and technology to over 10,000 companies.

The Tech Fantasy That Powers A.I. Is Running on Fumes

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Behold the Decade of Mid Tech!

The Revolution That Never Was

As I look back on the decade, I am reminded of the breathless anticipation with which I once approached the topic of A.I. with friends and colleagues. "What about A.I.?" would be the question, accompanied by a sense of excitement and wonder. I’d respond with a mix of skepticism and curiosity, asking "what’s the big deal?" only to be met with assurances that A.I. was going to change everything.

The Midness of Mid Tech

As someone who uses new technology, I can confidently say that I know mid when I see it. And what I’ve seen so far is a revolution that’s more mid than mighty. Academics have been at the forefront of this revolution, and it’s precisely because of this that I know mid when I see it.

The Threat of Mid Tech

A.I. is just one of many technologies that promise transformation through iteration rather than disruption. Consumer automation, for instance, was supposed to revolutionize the way we shop, but instead, it’s resulted in cashiers still being better at managing points of sale. A.I.-based facial recognition was supposed to make air travel more efficient, but it’s still causing privacy concerns and hasn’t particularly revolutionized the airport experience.

The Reality of Mid Tech

The economists Daron Acemoglu and Pascual Restrepo call these kinds of technological fizzles "so-so" technologies. They change some jobs, are kind of nifty for a while, and eventually become background noise or are flat-out annoying. A.I. is supposed to be more radical, but the reality is that it’s being used for far more mundane purposes. It spits out meal plans with the right amount of macros, tells us when our calendars are overscheduled, and helps write emails that no one wants.

The Parasitic Nature of Mid Tech

A.I. is a parasite that attaches itself to a robust learning ecosystem and speeds up some parts of the decision process. The problem is that A.I. has no qualms about starving its host. The political problem with A.I.’s hype is that its most compelling use case is starving the host – fewer teachers, fewer degrees, fewer workers, fewer healthy information environments.

The Danger of Mid Tech

Hype isn’t held to account for being accurate, only for being compelling. Mark Cuban, for instance, has exemplified this by imagining an A.I.-enabled world where a worker with "zero education" uses A.I. and a skilled worker doesn’t. The problem is that asking the right questions requires the opposite of having zero education. You can’t just learn how to craft a prompt for an A.I. chatbot without first having the experience, exposure, and education to know what the heck you are doing.

Conclusion

Mid tech is a threat, and its most compelling use case is starving the host. The reality of mid tech is that it’s being used for far more mundane purposes, and its promise of transformation is just that – a promise. As we look back on the decade, it’s clear that mid tech has failed to deliver on its promises. Instead, it’s left us with a sense of disappointment and disillusionment. The question is, what’s next?

FAQs

Q: What is mid tech, and how does it differ from high-tech innovations?
A: Mid tech refers to technologies that promise transformation through iteration rather than disruption. It’s characterized by modest augmentations to existing processes, rather than revolutionary change.

Q: What are some examples of mid tech?
A: Some examples of mid tech include consumer automation, A.I.-based facial recognition, and predictive analytics.

Q: What are the consequences of mid tech?
A: The consequences of mid tech include the potential for job displacement, the devaluation of expertise, and the creation of a culture that values efficiency over quality.

Q: What can be done to mitigate the negative effects of mid tech?
A: To mitigate the negative effects of mid tech, it’s essential to focus on creating a culture that values human expertise, to prioritize education and skills training, and to promote a nuanced understanding of the role of technology in society.

Drawing Detailed Hands in 100-150 Characters

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Drawing Hands: A Guide to Mastering the Complex Form

01. Looking inside the Hand

The human hand comprises bones, tendons, and lots of connective tissue, plus muscle and fat. It’s a strong and flexible appendage. Getting to know how it’s formed and how it works can really help you learn how to draw hands. It can be helpful to sketch out skeletal studies of human anatomy in general, but when learning how to draw hands, a lot of the form we know is lost at the skeletal level. However, if we overlay a surface view on top of the skeletal view, we can begin to appreciate where the skeleton sits within our hands.

02. Breaking the Hand into Shapes

You can lay in broad shapes over the skeletal view in order to build the hand. Use a flattened wedge-like shape for the palm; rectangles for the digits and a teardrop shape for the thumb. You can use the skeletal image above as the basis for this step. When learning how to draw hands, simplifying the forms like this will help to remove the pressure of rendering out a perfect hand from the start. From here, you can begin to fill out the shapes into 3D forms to help build the hand and pose it in perspective.

03. Building the Hand in 3D

Now it’s time to develop the forms to make the hand drawing feel more 3D. Here, our flattened-wedge palm gains another dimension, as the fingers become cylinders and the joints become spheres. We’ll call this view of the hand the planar view. By drawing through our forms, we can show volume, as you can see in the palm pads.

04. Posing the Shapes

Once you’ve drawn a 3D version of your first hand, why not try out some different poses? By breaking up the hand into simpler forms and using contours to explore volumes, you can start to arrange the hand in different poses without worrying too much about the details.

05. Getting Started with Planes

Once you’ve had some fun with posing, pick out a pose that you like and, using your own hand as a reference, draw the hand in the planar view. In the sketch above, the little cones indicate which way the cylinders are travelling. This can help you to keep a grasp on where the curves of the cylinders need to bend.

06. Finding Gesture and Forms

If you’re working traditionally on paper, be sure to start out light and gradually build up volume and forms with heavier lead only as you get to the end of your study. Meanwhile, if you’re working digitally, you can simply knock back the opacity of the planar drawing here to begin to find the forms you see on your own hand.

07. Beginning to Lay in the Detail

Now you can either push back the first two layers, or switch to a heavier lead to begin to lay in those details. You can see how helpful the construction of both the planar view drawing and the gesture drawing really help us to place details like the wrinkles and creases in the hand.

Conclusion

Drawing hands can feel daunting, but by breaking them down into simple, repeatable rules, you can make the process easier. Remember to simplify the forms, use contours to explore volumes, and build up volume and forms gradually. With practice, you can master the complex form of the hand and create realistic and accurate drawings.

Frequently Asked Questions

Q: How do I get started with drawing hands?
A: Start by breaking down the hand into simple shapes and use contours to explore volumes.

Q: What is the planar view, and how do I use it?
A: The planar view is a 2D representation of the hand, which helps you to build up volume and forms. Use it as a guide to find the forms you see on your own hand.

Q: How do I add detail to my hand drawing?
A: Start by building up volume and forms gradually, and then add details like wrinkles and creases.