#will prompt engineers replace programmers?

[bhawaybhalla]

Prompt Engineering: The #1 Skill That Will Unlock Your AI Potential in 2024

Imagine having a superpower that allows you to converse with the most advanced AI systems on the planet, shaping their output to perfectly suit your needs. Welcome to the dynamic world of prompt engineering – the art and science of crafting the instructions that guide AI models to generate amazing text, translate languages, write different kinds of creative compositions, and much more. In this…

[celestialdraught]

Bruh, heard. AI today has got problems. But let me take a crack at answering the questions:

1.) Trillion dollar problem: visual storytelling (movies ($40B), video games (another $347B), comics, etc. etc.)

Time was one programmer could sit down for a few weeks and make a (cutting edge) video game. Those days are long gone due to the complexity of the art. But what if that kind of time commitment was all it took? Everybody who had game idea could have an AI whip up some concept art (today), compose a soundtrack (today), bounce ideas for a script (today), prompt up some AI voice actors (today), program the game engine (today) then storyboard, model, animate (tomorrow? I could be missing some capabilities). You, the 'ideas man', just prompt and test. Prompt and test. Then publish.

Of course, most of the output will be utter garbage. But say you're a publisher and you have your choice to sign, fund, and market an old school video game with years of development and hundreds of paychecks... or this kind of game that crosses your desk every week from some otaku who's worked some AI magic, ready to monetize right now?

I bet Marvel would axe the vast majority of their visual effects department if AI could mimic their output sufficiently. And before you say that will never happen, check the history of AI mimicking things. It's just pixels.

2.) For chatbots, the goal has always been clear, to test whether computers can convincingly imitate humans. Turing wrote this up in the imitation game. And the Loebner Prize has been testing this competitively since 1990. Getting better means duping more humans. Decades of clear goal, objective and easily counted improvement metric, check.

The history isn't as long for art or music mixers as for chatbots, but on the music side you might be impressed at the progress.

3.) When in the history of capitalism have energy requirements for businesses ever been unmet for long? Those who have the money monopolize the resources (in this case, kilowatt-hours). The powers that be will ration your screen time and ban electric vehicles before they turn off their servers, and their congressmen will make it so.

(Do I want this to happen? Of course not. Switch off all the fossil fuel infrastructure and usher in the Green New Deal! But I'm not in the donor class...)

4.) For some tasks, for some humans, the replacement (of AI for human labor) produces results of similar enough quality to justify the price difference to the customers. Don't think in binary (will AI replace all humans?!). Think in market share (how many tasks that we pay humans for now will it be noncompetitive to pay humans for tomorrow given AI alternatives?).

Anecdotally, I've heard the pain of freelance artists, and the joy of those who once hired them (so fast! so free!). Exercise for the reader to find harder economic data.

5.) In living memory the wilderness of the internet was made searchable by semantic databases. Somebody's gonna crack the problem of what data to keep, and how to understand it best.

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads

[eobdtooluk-blog]

How to Program 2024 Honda Accord All Smart Keys Lost by Lonsdor K518 Pro?

Today we’ll demonstrate how to program smart keys to a 2024 Honda Accord by Lonsdor K518 Pro via OBD when all keys are lost.

Operation process:

1.Connect K518 Pro key programmer to the Honda vehicle via OBD cable

2.Select Immo& Remote-> HONDA-> Select from vehicle-> Asia-> Accord-> 2023- -> Smart Key-> PUSH button (new)-> All smart key lost

3.Pay attention to programming conditions:

Not fault code shows

Prepare all keys to be programmed

4.Switch the ignition off

5.Put a key (to be programmed) inside the car, and take other keys outside, above 5 meters away from the car

6.Press the start button twice to check if it can switch the ignition on

7.Press and hold Start/Stop button, do not release

8.When the ignition is turned on, released Start/Stop button

9.Input the quantity of the key that needs to be registered (e.g.2)

10.In 100s take all keys away from the car at least 10 feet

11.Put the key (to be programmed) inside the car

12.Current smart key has been programmed, replace with another smart key (to be programmed) and put it inside the car

13.Switch the ignition off in 15s, and then switch on within 15s as well

14.Check if the immobilizer light off

If yes, switch ignition off in 15s, and then switch on

15.Now the key programmed count is 2

16.Programming is completed, turn ignition off

17.Turn ignition on (press Start/Stop button twice, do not slam on the brake)

Check all smart keys to ensure each one can start car engine

Check all smart keys to ensure each one can lock and unlock car doors

Done!

That’s the complete process of using the Lonsdor K518 Pro Key Programmer to program smart keys for a 2024 Honda Accord with all keys lost. It’s quick and straightforward—just follow the on-screen prompts step by step.

[lizseyi]

How to Prevent Downtime in Your Loading Bay with Effective Maintenance - Loading Systems

The Impact of Downtime in Loading Bays

Downtime in the loading bay can disrupt operations, leading to delays, increased costs, and decreased productivity. Common causes include equipment failures, door malfunctions, and inadequate maintenance.

Essential Maintenance Tips

Regular inspections are crucial for detecting early signs of wear and tear. This includes checking industrial doors, dock levellers, and other equipment for damage, misalignment, and unusual noises. Ensuring all moving parts are well-lubricated reduces friction and prevents wear, particularly in door mechanisms and dock levellers. Keeping the loading bay area clean and free from debris helps prevent obstructions and malfunctions. Additionally, it's important to tighten loose bolts, screws, and fasteners to avoid equipment failure. Swift repairs are essential when equipment fails. Having a reliable service or maintenance team nearby that can dispatch a mechanic quickly or resolve issues remotely is crucial.

Benefits of Regular Maintenance and Repair

Regular maintenance extends the lifespan of loading bay equipment, reducing replacement costs. Well-maintained equipment operates safely, reducing the risk of accidents. Preventive maintenance and timely repairs save money by avoiding major breakdowns. Minimizing downtime ensures smooth, efficient loading bay operations, boosting productivity.

In Need of Help or Guidance?

Loading Systems can be your ideal partner in reducing downtime and enhancing your industrial door and loading bay efficiency. Our comprehensive services include preventive maintenance, prompt repairs, and advanced monitoring systems. Learn more about our maintenance services here and explore how we can help keep your loading bay in top condition.

With offices throughout Europe and beyond, Loading Systems is always close by, 24 hours a day, 7 days a week. Our nationwide service engineers can act fast and be on-site quickly to address all your industrial door and dock equipment service needs. Contact us for reliable, swift repairs and support.

Maintenance & Repairs

The reliable partner for every service programme - from preventive maintenance to repairs of industrial doors and dock equipment.

Always available 24/7

Expert service engineers

Extensive service programme

Want to know more about the possibilities of a service agreement? Please contact us!

A service & maintenance programme for your industrial doors and dock equipment is essential for an optimal logistics process. A good service programme:

Guarantees the lifespan of products

Minimises the downtime of your products

Prevents unnecessary and unforeseen costs

Always accessible: Loading Systems is your local service partner!

With offices throughout Europe and beyond, Loading Systems is always close by, 24 hours a day, 7 days a week. Contact us for all your industrial door and dock equipment service needs. With service engineers based nationwide we can act fast and be on site quickly to deal with your requirements.

Certified Service Engineers

Not only do we guarantee fast response times, we also have qualified Service Engineers you can rely on. With our own network of expert service engineers, we have the expertise to repair, replace and maintain industrial doors and dock equipment of all brands. Our engineers are continuously trained through certified training courses from our training centre and e-learning. We offer service of the highest quality!

A suitable programme for every customer

With a maintenance contract, we ensure that we provide optimum support for your business operations, precisely tailored to your activities and wishes. Preventive or corrective maintenance: Loading Systems is ready for you!

[technophili]

6 Ridiculous Things People Think AI Will Do

6 Ridiculous Things People Think AI Will Do But (Probably) Never Will

6 Ridiculous Things People Think AI Will Do But (Probably) Never Will

Separating AI hype from reality: Why most AI doomsday scenarios are more science fiction than future fact

AI WILL LEAD A COUNTRY OR BECOME CEO. IT WON'T AND IT NEVER WILL.

Don't you find those who repeat all day long that AI will dominate the world, AI will replace all jobs, AI will do or AI will do this boring? 💡 There are so many misconceptions being spread about what AI will or won't be able to do that it's getting annoying. 🤖💥 And if I tell you that some preconceived notions about AI are wrong and that AI will do this… won't happen. At least… not exactly as you might have hoped. 😅 Stay with me because you're eager to discover AI's true potential. We know you care about your future – your career, your creativity, your edge in a world hurtling towards automation. These six ridiculous things people think AI will do but (probably) never will. Trust me, it's worth a read. 👀

Misconception #1: Programmers Will Soon Be Obsolete

❓ In any case, AI can do what programmers can do, and they'll soon be replaced. Direct answer: No, indirect answer: Maybe. I think this is the most obvious case we hear. And you can feel it every day on social networks, just type in a prompt with ChatGPT or Claude AI and get the code for an application that will revolutionize the technology sector. Can't you already smell the scam? Already, we're forgetting that AI just collects data and regurgitates it later in the form of code. So, if AI simply recycles similar data over and over again and then sends it back to us, we'd end up with applications that don't really stand out from the crowd. So we need programmers who will implement new codes, examine different approaches to solving problems. It would be easier to ask an AI to write the code for the new Microsoft Office PowerPoint if thousands of source codes for similar applications already existed on the Web. Hence the fact that you can't simply ask an AI to create a complete software package for you. All the same, it's important to note that these comments should be taken with a grain of salt, since we're hearing talk of general AI reaching an optimal level of consciousness. Even then, it would be difficult to do without programmers. The Bug Problem: Why AI Can't Replace Human Engineers Let's imagine you have a general AI in your possession. You run a prompt and you get your new, almost identical PowerPoint program. Tell me how you're going to deal with the presence of a bug? Well, if there's one thing to bear in mind, it's that a programmer's sole aim is not to create code or programs. He's constantly dealing with potential bugs that may arise in his program, and working hard to find solutions to improve the software's performance. I don't believe that a simple prompt can solve this kind of problem, which requires a considerable amount of thought. The XZ Backdoor: A Real-World Example On April 01, 2024, Andres Freund, a software engineer at Microsoft, had recently been running performance tests on a tool he was working on, with the aim of finding anything that might slow down his program in order to optimize it as much as possible. This term has a name, and it's called micro-benchmarking. He noticed a small but unusual delay that day, during which the processor was using far more resources than usual. He measured this delay and found it to be 500 milliseconds. This was a little strange for Andres, who began to investigate and discovered that this latency was not caused by his program, but by an external program installed on his machine. Something had crept into the XZ program. XZ is a compression format. It takes a file or folder, compresses it thoroughly (stronger than ZIP or RAR most of the time), and outputs it with the .xz extension. The result: a smaller file that's easier to store or send. It uses a technique called LZMA2, which is super-efficient for reducing the size of files, especially large ones like databases, logs or programs. Back to our story, since Andres Freund had just discovered a backdoor. A backdoor is like a completely secret door that a hacker integrates into a program. Once this program is installed on a program or server, the hacker can control it remotely without anyone knowing. This can become really dangerous if it affects servers belonging to governments or large corporations. Back to our story. Where did this backdoor come from? Well, there was a contributor by the name of "Jian Tan" who helped maintain XZ mainly through certain updates. He was kind, super-active, dedicated, in short, a good guy… on the surface. Eventually, he gained everyone's trust and even took control of the project. Once in control, he slipped a modification into the code that was not easy to detect, even for experts. This backdoor enabled someone to remotely execute code on a Linux system using XZ, and especially on systems running OpenSSH (the software that enables remote connection to servers). If an update had taken place, thousands of Linux servers could have been hacked and no one would have noticed. If that Microsoft engineer, Andres Freund, hadn't noticed that certain programs were becoming slow, if he hadn't dug and dug and discovered that XZ did more than compress files: it spied quietly, Linux distributors like debian, Ubuntu and fedora would have integrated it into their systems, and here we are facing a global catastrophe in the world of computing. So yes, an AI can create prompts, can create code, but if you don't understand the code behind it, if you don't know how to optimize it to make it perform better, you'll be vulnerable to cyber attacks. This also implies that you don't need a cyber security engineer. Rather, I believe that some programmers will be obsolete. Those who can't put artificial intelligence to work for them. It's also a question of those who, having a basic knowledge of programming, think they can get by with AI at the helm. As long as they understand the code, that's fine! After all, big companies aren't going to lay off all their software engineers overnight. That's like asking them to replace their COBOL code with C++, for example. However, the new start-ups that are emerging have the capacity to limit the presence of software engineers. The arrival of tractors didn't put farmers out of work, and the birth of the Internet didn't put couriers out of work either. So engineers won't be totally replaced, but they may be reduced in companies over the decades.

We're Going to Make Movies with AI

Right! I want to take a photo. To do so, I need to exist somewhere in time and space, and as a conscious being. I'd also have to use a camera to capture a moment of physical reality, and all that light pattern I capture would automatically be transcribed into a 2D representation of that reality that we commonly call a photo. Then the light would have to pass through the eyes of another conscious being. What AI promises is that we'll no longer need this process of taking photos, no conscious being, no reality. What we have to understand is that AI doesn't really have a real referential. What I mean is that AI gathers other images, mixes them like a salad and tries to produce something that looks like an image but isn't in reality. They're just static constructions, remember that. This is particularly true when you consider that, to promote Tesla, Elon musk used AI to generate images that look surprisingly like Blade Runner 2049. AI-generated imagery often mimics existing visual styles rather than creating truly original aesthetics In a way, these AI generatives are being sold to us as a means of creating convincing visual sequences without the need for human beings. I find this sad for cinema, because films that took decades to make will be trivialized. If the next Avatar Fire & Ash came out, it would be seen several years later as something that was made by AI, or that AI can make something similar, which won't have the same visual punch. The Essence of Cinema You know what makes a good film? It's the emotions that are released, it's a question of visual impact. It's about mastering the language of film. A look, a light, a soundtrack, a silence that speaks to us, that comes from reality – that's pure cinema. — This is the Art of Filmmaking Behind every film is a director who innovates, who manages a team, who invents new technologies when the need arises. James Cameron, Christopher Nolan and Steven Spielberg don't just film, they create unforgettable experiences. Interstellar's music, composed by Hans Zimmer, creates so many emotions and thrills that we wonder if AI can do the same. The Power of Original Vision A film creates images that nobody has seen before. The proof comes from the film Avatar. It's a classic story: a stranger meets a tribe, falls in love and fights against his own people, who want to bring their own brand of imperialism. However, the visual and sensory world presented to us, never seen before, was a revelation. It would be ridiculous to think that the stunts performed by Tom Cruise in the film Mission Impossible: Rogue Nation and those performed by Jackie Chan could be done by an AI. These stunts created authenticity, truth and reality. Films will continue to be the work of men. Studios may think they can cut production costs by using generative AI everywhere, but audiences won't go for it. Real cinema is about making an inner conflict visible through powerful images. Read the full article

[techit-rp]

The Rise of AI Co-Creation: How Gen AI Is Empowering a New Generation of Makers and Innovators

We are witnessing a technological evolution unlike any before. Generative AI, an umbrella term for artificial intelligence systems that can create new content, ideas, or designs, is becoming the ultimate collaborator across industries. Whether you're a graphic designer, software engineer, musician, marketer, or entrepreneur, Generative AI is no longer just a tool. It is your creative partner.

Welcome to the era of AI co-creation, where human ingenuity meets machine intelligence. In this new landscape, learning how to collaborate with AI has become a must-have skill. That is why enrolling in an Online Generative AI course is quickly becoming one of the smartest moves professionals can make to future-proof their careers.

What Is AI Co-Creation?

AI co-creation is the process of humans and AI systems working together to produce something new. Rather than replacing human creativity, Generative AI enhances it. It fills in gaps, suggests new perspectives, accelerates production, and democratizes innovation.

Think of it like jazz improvisation. The human brings the melody, and the AI harmonizes in real time. This collaborative dance between man and machine is already revolutionizing how we create music, write stories, design logos, develop code, and even formulate business strategies.

From Idea to Impact: Real-World Applications of AI Co-Creation

Here are a few sectors where AI co-creation is making waves.

1. Design and Visual Arts

Platforms like DALL·E 3, Midjourney, and Adobe Firefly allow artists to generate images from simple text prompts. What once took days can now be sketched in seconds. AI suggests color palettes, compositions, and even styles that push the boundaries of visual storytelling.

Real Story: Indian design startup Fabrik used AI to co-create visual branding for over 50 clients. They reduced turnaround times by 70 percent while maintaining originality and client satisfaction.

2. Music and Sound

Musicians use tools like AIVA and Amper Music to compose original tracks in various genres. AI does more than mimic existing music. It suggests chords, builds harmonies, and can create entire compositions with a given mood or narrative.

In a 2024 global AI music hackathon, over 60 percent of entries were AI-assisted compositions. This highlights how integral Generative AI has become in modern sound design.

3. Content Creation and Marketing

Marketers now use tools like Jasper, Copy.ai, and ChatGPT to brainstorm campaigns, write blogs, and generate ad copy quickly. AI helps scale content while maintaining personalization, which is essential in today’s crowded digital space.

A digital agency in Bengaluru reported a fourfold increase in campaign output after training their staff through an Online Generative AI course designed for content and marketing professionals.

4. Software Development

Tools like GitHub Copilot are transforming how developers write code. AI co-programming not only autocompletes but also helps refactor code, fix bugs, and write new functions. This allows developers to focus more on innovation than on repetitive coding tasks.

A full-stack developer from Hyderabad shared that GitHub Copilot helped reduce his coding time by nearly 40 percent after completing a Generative AI-focused programming course online.

5. Education and E-learning

Educators are using Generative AI to create personalized quizzes, visual aids, lesson plans, and virtual tutors. AI co-creation enhances teaching efficiency while also keeping students engaged with interactive content.

Why AI Co-Creation Matters Now More Than Ever

The democratization of technology means you no longer need to be a programmer or data scientist to use AI effectively. Today, anyone can co-create with AI, provided they learn how to leverage it properly.

The shift is also economic. A 2024 Deloitte report found that companies using Generative AI in product development and design outperformed their competitors by 23 percent in speed to market and 31 percent in customer engagement.

Those who can collaborate with AI are poised to become the creative and strategic leaders of the future.

Upskilling for the Future: Why You Should Take an Online Generative AI Course

As exciting as this all sounds, harnessing Generative AI is not as simple as typing a few words into a prompt box. To truly co-create, you need to understand:

How Generative AI models function

Prompt engineering techniques

Tool-specific workflows for platforms like Midjourney or DALL·E

Ethical considerations and copyright rules

Practical use cases and implementation strategies

This is where an Online Generative AI course becomes essential. Here’s how it helps:

Flexible and Accessible Learning

Online courses allow you to learn at your own pace, from anywhere. Whether you are a student, working professional, or freelancer, you can upgrade your skills without disrupting your daily schedule.

Hands-On Projects

The best courses include real-life projects, such as designing a product brochure with DALL·E or building a chatbot with GPT. These projects provide experience that employers highly value.

Expert-Led Curriculum

Courses designed by AI experts and industry professionals ensure that you learn current and relevant material, not just theoretical concepts.

Ethical Awareness

High-quality courses also cover responsible AI use, which is crucial as we face increasing challenges with deepfakes, misinformation, and data bias.

Aligning with Google’s E-E-A-T Principles

As AI-generated content becomes more common, Google’s E-E-A-T principles—Experience, Expertise, Authoritativeness, and Trustworthiness—have never been more important. When using AI tools to create or co-create, these principles guide quality and integrity.

Experience: Share genuine examples of how you have used Generative AI in your work.

Expertise: Reference credible sources, tools, or results to support your insights.

Authoritativeness: Build a consistent voice and ensure your information is accurate and well-researched.

Trustworthiness: Disclose AI usage where appropriate and maintain transparency.

Many Online Generative AI courses now include modules on ethical content creation, platform policies, and fact-checking, all of which contribute to trust in the digital age.

Final Thoughts: The Future Belongs to AI-Enhanced Creators

We have entered a new era where creativity is no longer limited by access to tools or technical skills. Generative AI has made it possible for anyone with an idea to bring it to life. But imagination alone is not enough.

To thrive in this age of AI co-creation, you need skills, understanding, and ethical awareness. This is why taking an Online Generative AI course is not just a smart move, it is a necessary step to remain relevant and innovative in your field.

[jobrahbar]

Will AI Replace Developer Jobs? An In-Depth Analysis

The rise of artificial intelligence (AI) has sparked intense debate about its potential to disrupt industries, and software development is no exception. Tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer have already begun transforming how developers work, automating repetitive tasks and accelerating coding processes. But does this mean AI will replace developers? The answer is nuanced: while AI will significantly reshape the role of developers, it is unlikely to eliminate the need for human expertise. Instead, it will augment productivity, redefine responsibilities, and create new opportunities.

1. The Current State of AI in Software Development

AI-powered tools are already embedded in developers’ workflows:

Code Generation: Tools like GitHub Copilot suggest code snippets, auto-complete functions, and even generate boilerplate code.

Debugging & Testing: AI algorithms scan codebases for vulnerabilities, optimize test cases, and predict bugs.

Documentation & Maintenance: AI can parse legacy code, generate documentation, and refactor outdated systems.

These tools act as "AI pair programmers," reducing grunt work and allowing developers to focus on complex problem-solving. However, they lack the creativity, intuition, and contextual understanding required for higher-level tasks.

2. What AI Can (and Can’t) Do

Tasks AI Can Handle:

Repetitive Coding: Automating boilerplate code for CRUD operations, APIs, or UI templates.

Code Optimization: Identifying inefficient algorithms or memory leaks.

Rapid Prototyping: Generating basic app frameworks based on natural language prompts.

Limitations of AI:

Understanding Context: AI struggles with ambiguous requirements, business logic, or user experience nuances.

Ethical Judgment: Decisions about privacy, fairness, and security require human oversight.

Innovation: AI can’t invent novel solutions, design architectures, or envision products that meet unmet market needs.

In essence, AI excels at execution but falters at strategy.

3. How Developer Roles Will Evolve

Rather than replacing developers, AI will shift their responsibilities:

From Coding to Orchestration: Developers will oversee AI-generated code, ensuring alignment with business goals and quality standards.

Focus on Complex Problems: Roles will prioritize system design, ethical AI integration, and cross-functional collaboration.

Upskilling Opportunities: Demand will grow for specialists in AI/ML engineering, prompt engineering, and AI ethics.

For example, a developer might use AI to draft a microservice but will still need to refine its logic, integrate it with other systems, and validate its performance.

4. Economic and Industry Implications

Job Displacement Concerns: Entry-level roles involving repetitive tasks (e.g., basic testing, code translation) may decline. However, history shows that technology often creates more jobs than it displaces (e.g., the rise of cloud computing).

Increased Productivity: AI could lower barriers to entry, enabling smaller teams to build robust software faster. This might expand the market for tech solutions, driving demand for skilled developers.

New Specializations: Roles like "AI Trainer" (fine-tuning models for coding) or "AI Auditor" (ensuring compliance and fairness) will emerge.

5. Case Studies: AI in Action

GitHub Copilot: Used by 46% of developers in 2023, it accelerates coding but requires human review to ensure accuracy.

Tesla’s Autopilot Team: Engineers use AI to generate simulation code but rely on human expertise to validate safety-critical systems.

Low-Code Platforms: While AI-powered tools like OutSystems enable non-developers to build apps, complex projects still require professional oversight.

6. The Human Edge: Why Developers Will Stay Relevant

Creativity: AI lacks the ability to brainstorm innovative features or pivot based on user feedback.

Domain Knowledge: Understanding industry-specific challenges (e.g., healthcare compliance, fintech security) requires human experience.

Soft Skills: Collaboration, communication, and leadership remain irreplaceable in cross-functional teams.

7. Preparing for an AI-Augmented Future

Developers can future-proof their careers by:

Embracing AI Tools: Learn to leverage AI for productivity gains.

Upskilling: Focus on system design, AI ethics, and domain-specific knowledge.

Adopting a Growth Mindset: Continuously adapt to new tools and methodologies.

Conclusion

AI is a transformative tool, not a replacement for developers. Just as compilers and IDEs revolutionized coding without eliminating jobs, AI will free developers from mundane tasks and empower them to tackle more ambitious challenges. The future belongs to developers who harness AI as a collaborator, combining its efficiency with human ingenuity to build better software, faster.

[currinsrnznships]

Survey Ships and Oceanographic Research – HMNZS Resolution (A14)  HMNZS Resolution (A14) was a hydrographic ship of the Royal New Zealand Navy (RNZN) SAMSUNG DIGITAL CAMERA Originally the United States Naval Ship USNS Tenacious (T-AGOS-17), the Stalwart-class ocean surveillance ship was used by the United States to locate and track Soviet submarines from 1989 to 1997, when she was transferred to the RNZN for use as a hydrographic survey ship. She served until 27 April 2012. She was subsequently sold to EGS Group, a private surveying company, and renamed RV Geo Resolution. Construction[edit] The ship’s construction contract was awarded 20 February 1987 to VT Halter Marine, Inc. of Moss Point, Mississippi, under then name Intrepid. Her keel was laid down 26 February 1988, she was launched 17 February 1989 and commissioned as USNS Tenacious on 29 September 1989. The renaming was prompted by protests from veterans of the Essex-class aircraft carrier USS Intrepid, who felt that the surveillance ship was not a fitting vessel to carry on the carrier’s name.[2] Operational history[edit] United States[edit] Tenacious (foreground) and sister ship Contender tied up at Bishop’s Point, Pearl Harbor, in 1991 During the Cold War, Ocean Surveillance Ships patrolled the world’s oceans searching for Soviet Navy submarines. Data was collected using the Surveillance Towed Array Sensor System (SURTASS), consisting of listening devices and electronic equipment that transmit the acoustic data via satellite to shore for analysis. SURTASS is a linear array of 8,575 feet (2,614 m) deployed on a 6,000-foot (1,800 m) tow cable and neutrally buoyant. The array could operate at depths between 500 and 1,500 feet (150 and 460 m). Tenacious was stricken from the Naval Vessel Register and sold to New Zealand on 6 February 1997. New Zealand[edit] On commissioning into the RNZN on 13 February 1997, the ship was renamed HMNZS Resolution, after the sailing sloop HMS Resolution, used by James Cook during his second and third voyages of exploration, in recognition of the extensive hydrographic survey work done by Cook.[3] Resolution replaced HMNZ Ships Tui and Monowai as the navy’s primary survey and acoustic research vessel.[3] She undertook various marine survey tasks, including for the Land Information New Zealand agency.[1] SMB Adventure was operated by Resolution as a tender and survey motor boat. Resolution sponsored a scholarship for under-privileged high school students to participate in a 10-day passage on the sail training ship Spirit of New Zealand. On occasion, university and high school students were embarked aboard Resolution as part of the ‘Students at Sea’ programme.[1] On 22 February 2011, Resolution was underway off Christchurch when the 2011 Canterbury earthquake occurred. NZ Navy Today said later : ‘..the feeling onboard was that the engines had been set in full astern with associated shuddering and shaking. It was only when a dust cloud over Christchurch was observed and chatter on VHF soon alerted the bridge team of the enormity of the disaster. With Captain Dean McDougall (CTU 654.0.1, Captain Fleet Operational Support) in an established headquarters on HMNZS Canterbury in Lyttelton, Resolution reported for duty and was subsequently called in to conduct a hydrographic confidence survey of the main channel into the Port of Lyttelton.[4] Resolution was decommissioned at Devonport Naval Base on 27 April 2012.[3] She was subsequently sold to EGS Group, a private surveying company, and renamed RV Geo Resolution. Following the sale she left Devonport Naval Base for the final time on 11 October 2014 Tags and categories: Survey Ships and Oceanographic Research, Survey Ships and Oceanographic Research - HMNZS Resolution (A14)  via WordPress https://ift.tt/Are9L10 March 16, 2025 at 12:22PM

[stellardeer]

I refuse to believe we are anywhere close to a level where AI can completely replace mid-level programmers. Unless I am overestimating what qualifies for mid-level and I actually am deserving of my senior developer title, but I just don't see that happening across the board unless more things become standardized. Maybe Facebook's codebase is constitent enough to train an AI to write things for it, but I feel like that won't work for everyone. Not that it never will, I'm just not convinced that the technology's at that level already. Like idk, you'd have to have people skilled in writing the prompts too I guess if you wanted to get it to design certain systems. But again I might be making a lot of assumptions about it being capable of designing anything they might still need the engineers for that part...

[theyogahousesg]

The Benefits of Breathwork in Singapore

People of Singapore, living fast-paced lives, suffer from stress and anxiety. To face these pressures, an obvious natural remedy is Breathwork, an exercise based on correct breathing. This tradition popular and known nowadays, presupposes carrying out of the complete and deliberate breaths that bring calmness and perspicacity. It is not only an essential practice within standard yoga classes in Singapore, but it is also used in corporate and individual training sessions. It is ubiquitous, start-up friendly, and could be done by anyone; it is perfectly suited for the problems that need solving in the 21st century. Now, it is time to dive deeper into the idea of breathwork Singapore to achieve a better mental, emotional and physical state.

1. Reduces Stress and Anxiety

The most common complaint that prompts people to seek practicing breathwork is stress and anxiety. Pranayama is the management of breath in order to control the nervous system, which is such a key part of the stress response. Some of the types of breathing are deep breathing, or the popular alternate nostril breathing, this, of course, reduces cortisol level, the stress hormone.

In Singapore, where employees work long hours in high-stress environments, breathwork can be a source of life. Breathwork, if done routinely, can assist an individual in feeling relaxed and in charge. Most people have reported that just a couple of minutes of breathing exercises help remove all the clutter from their heads and introduce positive energy into their daily activities.

2. Enhances Work Ethic and Efficiency

Breathwork also enables a subject to concentrate and think clearly. It reduces mental confusion and increases the supply of oxygen, which in return helps to enhance alertness. This makes breathwork uniquely useful to all professional and student actors, media personalities, writers, engineers, programmers, cog thinkers, or any person who requires laser-like focus.

Adding breathing practices into corporate yoga practices is going mainstream, given the boost in performance that employees experience. With these many distractions around, it becomes very hard to concentrate. Breathwork educates the brain not to wander around and focus on things unrelated to the task or daily challenges. Just 5 minutes of attempting to breathing exercises could have a massive improvement to your mental capabilities.

3. Boosts Physical Health

It is not just for the mind’s advantage, but also the body that can benefit from breathwork. Cycling, or the practice of deep rhythmic breathing helps expand the lungs, tone the muscles of respiration, and increase blood flow. This enhances overall physical health, which, in return creates a feeling of bouncing back strength.

Currently in Singapore, where Everybody does exercises in Fitness classes, many individuals have adopted breathwork as their training regime. It should be practiced in conjunction with other types of exercise such as yoga, or even private yoga classes in Singapore since stamina improves and the body does not become as easily fatigued. The practice of breathwork can be useful and helpful and makes a person feel healthier, their strenuous performance and physical strength increase gradually.

4. Enhances Emotional Resilience

Pranayama, when done properly, has a healing impact on an individual's emotional health. Breathwork can easily replace the draining feelings of anger, sadness, or frustration with positive energy and help manage these feelings. It makes life easier to handle, as it provides the needed environment for self-analysis and personnel development.

Most people in Singapore are seeking private yoga therapy sessions, which, in addition to physical practice and exercises, emphasize breathing to penetrate healing into the emotional realm. Pranayama helps to let out repressed feelings and may calm a person inside. This is highly useful in managing the difficulties of life with professionalism, making a human being's life more meaningful.

Conclusion

Pranayama or breathwork, is a practice that brings numerous advantages for the human mind and entire physical body. Stress declines, attention increases, physical and mental health enhances and emotional capital develops. Amidst this bustling environment in Singapore, the concept of incorporative breathwork in people’s normal existence, as a part of yoga classes Singapore or corporate well-being Singapore can go a long way. If you are at The Yoga House, you can find out more about breathwork and get to know it in practice. Start the way to improve your health of mind, body and soul with this easy and secure procedure that infuses serenity and understanding into your life.

[nile-bits]

Why AI Can’t Replace Programmers: The Limits of Machine Learning

Recent years have seen enormous advancements in artificial intelligence (AI), which has revolutionized several industries and our way of life at work. Software development is one field where AI has had a particularly significant influence. The emergence of machine learning (ML) algorithms and sophisticated data processing skills has prompted conjecture over the potential replacement of human programmers by artificial intelligence (AI). But even with such amazing potential, artificial intelligence is still far from completely replacing human engineers due to a number of serious issues. This essay explores these constraints and explains why human knowledge in software development is still crucial, even in the age of AI...

Learn more here:

https://www.nilebits.com/blog/2024/07/why-ai-can-not-replace-programmers/

[coloradodependablelocksmith]

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At Colorado Dependable Locksmith, we understand the importance of staying ahead in the ever-evolving realm of automotive security. That's why we invest in specialized tools and techniques to provide cutting-edge solutions for all your car key needs. From advanced diagnostic equipment to essential key coding software and transponder key programmers, we possess everything necessary to ensure precise calibration and synchronization between your key and your vehicle's immobilizer system.

Our skilled locksmiths boast an exceptional understanding of automotive computer systems, enabling them to navigate through the intricate interactions of electronic components with ease. Whether you require key cutting and duplication, transponder key programming, or ignition repair and replacement, rest assured that our experts have you covered. We take pride in offering reliable solutions tailored to the unique requirements of each vehicle.

When you choose Colorado Dependable Locksmith for your automotive locksmith needs in Denver, expect nothing less than excellence. Our comprehensive range of services includes:

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[thedemonscrawler]

ITS BEEN 84 YEARS BUT HEY FINAL PART

There is no gradual change from isn't to is. 

No slow return to awareness, an impossible dream flaking away like dust in the face of reality– just being, and the fading horror that a moment ago, he wasn't. 

“--thought you said he wasn't in bad shape?!”

“I said he was in bad shape, he just wasn't dying! Look, just shut up and grab–”

Everything hurts.

He's damaged, processor struggling under the weight of countless errors, threatening to tip him over into a much more tangible state of unresponsiveness. There's a high keening sound that vibrates in his battered chest, resonates with his burning throat.

“--you got the–”

“--es, now move, before–”

Voices. An echo playing against itself, back and forth. Twins, perhaps? But none of the twins he knows sound alike, not like this, and it muddles his understanding even further.

Hands force themselves under his broken body, scraping against the cold surface underneath, and–

–and this already happened, didn’t it? How did it turn out the first time? 

He can’t remember. Everything hurts, and there’s a dark, sucking hole where his memory should be, oozing unease and tension. The keening cuts off, replaced by a staccato burst of static. He should twist away, he should escape, except his limbs won’t cooperate and his chest is full of smothering heat and–

-and there are arms around him. Holding him close to a chest in shades of light and dark. Something brushes the fractured remains of his rays, and from the shape of it, he thinks it might be another disk-shaped head tucking over his own.

Quiet muttering, and he stills just to be able to hear it better, because he’s certain there was something novel in that rasping voice. Following the sounds up and down, until a few resolve themselves into words.

“‘m sorry.” 

The hands holding him tighten their grip ever so slightly, because I’m sorry and you’re safe this time and I promise. Concepts that flit through his shattered mind, leaving impressions more than meaning… yet gradually, the tension eases from his frame, bleeding away drop by drop.

He remembers safety, and warmth. The sting of betrayal fades under awkward apologies, leaving behind no more than a dull ache. He cannot remember what happened, but he knows that he was somewhere else, and this hold means that he was found. Brought home.

Home?

Jarring movements cease. Behind a haze of overexposed static he is aware of movement, shadows and sounds. Something touches his arm, the fragmented casing barely registering the pressure. 

“Hey there, buddy. You remember me, right?”

A person, probably; casing split between light and dark, a crest of pale rays. He cannot tell any more than that, and trying to look makes his head hurt worse.

“--’s okay. We're gonna fix you up, so just–” 

It hurts. Focusing, thinking, being. The arms cradling his body are keeping him safe, but they cannot keep the hurt at bay, and his meager energy is steadily depleting.

“--shutting down.”

“I mean, can you blame–”

Darkness and static stillness eat away at him. The temporary death visited upon a machine, systems going offline as they ran out of power, leaving the body at the complete mercy of whoever might deign to turn it back on. A risk he’s only rarely taken in his long life, yet this time there’s no choice in it.

Does he want to wake up? Does he want to be? 

The head tucked over his own presses closer, rasped words barely audible over his own systems. He misses most of them, but the sense of It’s okay sinks in past the static.

Safety. Warmth. 

Everything stops.

—

“We need to have a serious talk about what you consider ‘catastrophic damage’.” 

“Look, I’m a programmer, not an engineer.”

“No, you’re a mess built out of scavenged arcade machines. I think your judgment is a little skewed.”

Eclipse swipes at the oil-stained rag that impacts his crescent face, balling it up and tossing it back at Solar. It goes wide and hits the floor instead, prompting a snort from the other mech. 

“Judgment and depth perception. I’ve seen old ladies make better throws than that.”

Eclipse rolls his eyes and turns his attention to the frame laid out in the chair. The harsh light of the repair cylinder exposes every bit of damage, and as much as he hates to admit it, Solar might have a point. Still…

“I was right, though.” A black and crimson hand reaches out to gently rest on the shattered chest casing, feeling the slight vibration of repaired fans. 

And Solar just shakes his head, dim eyes flickering briefly. Mild humor laces his tired voice. “Yeah, you were right. Kinda wish you’d remembered anyway, though. Could have saved me a lot of stress.”

“You actually did it.”

The low, breathless voice has Eclipse looking over his shoulder, where Moon stands in the doorway to the cylinder. Unease prickles up and down Eclipse’s metal spine. 

It was fine, it wasn’t like they’d kept this a secret, they hadn’t done anything wrong.

“I am a miracle worker, you know,” he replies with forced nonchalance. Moon doesn’t seem to hear him. All of the lunar animatronic’s attention is on the figure stretched out in the chair, and only when Eclipse steps forward to break his line of sight does he finally look up. 

“It’s too late to do anything about it,” adds Solar. Eclipse doesn’t miss the way Moon winces, how his gaze slides away like his best friend is made of butter. 

“I wasn’t–! I won’t…” Moon sighs and shakes his head. “The Computer picked up a massive spike in magic, so I was just checking to see how you guys were doing. That’s all. I didn’t expect you to be… done?”

“Well, he’s gotten the patch job, but I wouldn’t call things ‘done’.” Quite as if he doesn’t notice the thick, awkward atmosphere, Solar walks around the chair, to the cart loaded down with recently removed parts. “We focused on getting the essentials going, rather than anything cosmetic, so that’s why he still looks like a mess. As soon as his battery is charged enough we’re going to wake him up and see how he’s doing mentally.”

“You should stick around, say hello.” It’s petty, and rude, but Eclipse is too tired to fight off the impulse to sink nonfunctioning teeth into an obvious weakness. “He might not remember what happened.”

Moon stiffens at Eclipse’s tone, but a brief glance at the figure in the chair has his shoulders slumping. “No, that’s…that’s alright. I think I’ll head back upstairs and tell everyone that they should expect to see him around soon.” Deliberately not looking at any Eclipse, Moon turns on his heel. 

“Moon?”

The lunar animatronic freezes. One eye peeps back over his shoulder, just enough to look at Solar. “Yeah?”

“You’re going to have to face this eventually.” Solar’s voice is flat, with a rarely-heard edge that makes Moon flinch. Without another word he slinks off, shoulders bowed under Solar’s golden gaze.

Quiet fills the vacuum left behind by Moon’s departure, until Eclipse breaks it with an almost normal tone of voice. “You know, I thought I’d enjoy the drama a little more.”

Solar barks out a laugh. “Maybe you’re going through some character growth– or you’ve got a virus. Actually, nevermind, it’s probably that. I can scan you after we wake him up, if you want.”

There isn't another rag to throw, so Eclipse settles for making a Daycare-inappropriate gesture, which Solar returns with interest.

“Let's just get this over with, before anyone else shows up.” His usual drawl neatly covers up the uneasy feeling crawling through his circuits as Eclipse glances at the door, then down at the chair. It was beyond too late for questions or doubts–  the only thing left was to face the consequences. 

Solar flicks his fingers in a little salute and approaches the prone form. He does something around its head, and Eclipse finds himself holding his ‘breath’ as recently replaced fans start up, rattling in their housings and nearly covering the whine of a processor. Red and blue optics flicker before coming fully online, their dim glow pointed at the ceiling. 

The tangled knot of guilt and shame that had lived in his circuits for the past couple of months loosens, all at once. Without really thinking about it, he waves a crimson-tipped hand. “Hey.”

A long moment of silence, broken by uncertain chirps from Ruin’s barely functional vocalizer. “H-hello.”

“...alright, enough with the riveting banter.” Solar waves off Eclipse’s offended snarl, stepping up to the foot of the chair. Ruin regards him with the same blank uncertainty that he’d shown the ceiling, even when Solar offers a hand to pull him up to a more upright position. “There we go. Hey, you’re with us, right?”

More silence, and Eclipse can see the same worry beginning to creep through his wires reflected in Solar’s copper rays angling back. Before either of them can get too worked up, there’s another little static sound, and Ruin accepts the offered hand. 

“I– yes, I believe that I am.” His endoskeleton creaks as he moves, bits of casing joining what already litters the floor. “Or perhaps I’m not, and it is you who are with me? Because– and do correct me if I’m wrong– you’re dead, Solar.”

“Yeah, funny how that kind of thing doesn’t stick around here.” 

“I-I see.” Red and blue optics drop to skeletal hands. “Yes, I do remember now. Moon had a plan, of sorts, didn’t he? A life for a life.” Those hands clench into tight fists, joints squealing softly.

Eclipse’s own claws bite into his palms as the shame begins creeping up on him again. “Yeah.”

“There was a cell, and then there was a different cell, and that twisted imitation of an animatronic. And then…” the words break into more static, the rough idea of a laugh. “Moon got what he wanted. I don’t begrudge him, you know. It makes perfect sense. What does not, however, is this.” 

He looks up at Eclipse, bewildered and lost. “Why am I alive?”

Eclipse had been expecting the question, because it’s the same one he’d been asking himself for months. All through the search for a way to alter a dimensional signature, scouring the computers to find an imprint of Ruin’s code, dealing with awkward questions and cold looks from the others. 

Why go through the trouble of bringing back Ruin, of all people? Who would want to see the amalgamate AI alive again?

(The fleeting impression of trust, of safety found in undeserving arms. He was familiar with betrayal, but this time… this time it hadn’t been on purpose.)

Eclipse is the only one that can answer, in his own way. With a sneer and a snarl, golden rays pinning back.

“You brought me back from the dead. Twice, actually.” He crosses his arms and looks down at Ruin. “Do you really think I'd let you get out of dealing with all of this crap? Nuh-uh, nope– if I have to be alive, so do you.” 

Mismatched eyes flicker briefly, searching Eclipse’s fixed expression for something. Falsehood, a trick. When nothing is found, soft static chirps begin sounding from the damaged bot’s chest, resolving themselves into hiccuping sobs as Ruin drops his face into his hands. 

“Of– of course!” He forces out. “Of course, t-that…yes, t-that’s fair. That’s fair.”

Eclipse’s stiff pose loosens slightly, and after a warning glance at Solar to not say anything, he sits down on the edge of the chair. Immediately there are damaged arms wrapping around his torso, a shattered face pressed into his chest.

Eclipse ignores the thin scratches being carved into his paint, the few bits of loose casing falling away from a broken body. He rests his hand on Ruin’s back, moving it in tiny circles. If his voice is unusually quiet, threatening to crack in the middle, he ignores that, too. 

“You’re okay now. You’re home.”

Lil gift for @thedemonscrawler inspired by their sams fic Beggars Can't be Choosers (butters i'm dying /pos)

(Speedpaint under cut)

[ivanca]

ChatGPT can generate HTML/CSS based on simple ASCII mockups

I was pleasantly surprised to discover that ChatGPT 4 can interpret simple ASCII art and do a decent job converting simple designs into HTML/CSS; to quickly create the initial ASCII design I'm using this online tool https://asciiflow.com/ and for the prompt I have used "Generate HTML and CSS (using flexbox) based on the following ascii art:"

Some examples of the ASCII and the result:

Result:

Example #2:

Result:

For this last example the attempt to make it generate a SVG donut chart failed (it gave me a placeholder and suggested to use a JS library to do so instead), so I had to ask it to replace it with vertical bars which are easier to generate, I also had to ask it to "hardcode all countries that belong to the European Union even if its not practical or maintanable" because it was giving me a placeholder and suggesting to "Use an API" to fetch those, which is not bad advice but for quick mockups may not be desirable.

I tried more complicated task like making it animate an ASCII cat art using multiple elements (as they were "frames") but it consitently failed, it did seem to understand that it should show just one element each fraction or a second to the create the motion illusion but it failed on the artistic endeavor of modyfing existing ASCII art.

I hope you find this info helpful, and if you have insights of what works and what doesn't when using ASCII art on ChatGPT to mock up webpages (or anything else) feel free to share those in the comment section below or in the HN thread.

That's the end of the post but while you are here...

My name is Ivan and I'm a Full-stack programmer, I live in Colombia and I’m looking for a remote job as Full-Stack Engineer so if you or you company are interested in hiring just let me know! I'm also open to Visa Sponsorship opportunities (EU or US). I have more than 10 years of experience with JavaScript, as well as a few years with TypeScript, React, Python, PHP, Git and Node, as well as knowledge of good software practices such as SOLID architecture, unit testing, regression testing, e2e testing; if you are interested in hiring me please reach me at ivanca at gmail

[webyildiz]

By revising its privacy policies, Google now has carte blanche to mine the internet for data it can use to fortify its artificial intelligence products. New products, features, and technologies According to Google's new policy, "Google uses information to improve our services and to develop new products, features, and technologies that benefit our users and the public." "We use public data to train Google's AI models and create features and products like Google Translate, Bard, and Cloud AI capabilities," for instance. Gizmodo reports that the policy has been modified to refer to "AI models" rather than "for language models." When it comes to data collection, the policy now includes not just Google Translate but also Bard and Cloud AI. The amended privacy policy, released over the weekend, looks particularly worrisome because it suggests that Google can use whatever data you generate online to train its artificial intelligence systems. The aforementioned language appears to describe not only people in the Google ecosystem, but is specific enough that the brand might have access to information from any portion of the web. Concerns over data privacy, plagiarism, and the ability of AI to disseminate accurate information are at the forefront of the debates surrounding the widespread development of AI. The earliest chatbots, like ChatGPT, are built on LLMs that trained on publicly available data from sources like the common crawl web archive, WebText2, Books1, Books2, and Wikipedia. The first ChatGPT was notorious for getting stuck on data past the year 2021 and filling in responses with bogus material. Having real-world and perhaps real-time training for its AI models could be one of the reasons Google would want unrestricted access to web data to benefit technologies like Bard. Gizmodo also pointed out that Google might utilise this new strategy to collect ancient content that was created by humans but has since been forgotten, such as reviews or blog articles. This would allow Google to get insight into the evolution and dissemination of human text and speech. How Google will put its data to use is still a mystery. Several big social media sites, such as Twitter and Reddit, have restricted user access in response to the rise of AI chatbots, much to the dismay of their respective user bases. Under the pretence of IP protection, both services have disabled user access to their APIs, making it impossible to bulk download and redistribute large numbers of postings. Instead, it disrupted many of the auxiliary programmes that are essential to the proper functioning of both Twitter and Reddit. As their owners become increasingly worried about being replaced by artificial intelligence, Twitter and Reddit have also faced various challenges and conflicts. You might also like: Prompt Engineering: A new function created by AI techniques! Protecting Your Privacy: Tips for Online Users

[seanfalco]

Jealous | Duncan Taylor x Reader

Word count: 2.7k Prompt: “I’m not jealous.” Requested by: Anonymous a/n: Follows What a Christmas, Huh?

It had been a little more than a week or two, you’d sort of lost track, since your last clandestine hookup with Duncan had ended in disaster and you’d started giving him the cold shoulder, practically ignoring him. 

For several days after, Duncan had been insufferable, cornering you at every chance, trying to get you to talk to him, but each time you’d successfully evaded him, leaving him scowling frustratedly after you as you’d walked away.

After that he seemed to have taken the hint, leaving you to your work, only speaking to you in a professional manner, no more snarky banter, no more obnoxious propositions, and your crew mates were starting to talk.  You heard them muttering to each other in hushed whispers that something was wrong — this wasn’t like either of you.

And at first you felt… relieved.

You thought getting away from Duncan Taylor and his smug pretentious attitude was exactly what you needed to get your head straight.  You’d fucked him, twice — he should be out of your system by now.

So why wasn’t he?

Why was it the further you kept away from him, the more your brain kept returning to those memories, craving his touch.

Then, on New Year’s Eve, you’d braced yourself as you made your way to the crew lounge for the night’s festivities, expecting Duncan to be back to his normal self, following you around all night and trying to get back into your pants.

But to your surprise, as soon as you arrived, he barely even spared you a second glance, though he certainly made a show of flirting with every other woman in the room, even going so far as to look rather cozy with one, the sight alone making your ears burn.

You should be relieved, you reminded yourself.  It was obvious he’d moved on.  You were free of him.

So why did you feel so jealous?

I’m not jealous, you told yourself firmly, but after only an hour you couldn’t stand to be in the same room with him any longer and you silently slipped out, returning to your computer, deciding to catch up on your work to keep your mind busy.  However, as you worked, you kept finding yourself half hoping that Duncan might follow, having noticed you leave and come to pester you, to pull you away somewhere secluded.

But he didn’t.

And from there it only got worse.  Each day your conflicted feelings only grew and you hated it.

Admit it, you miss him.  You miss that smug grin and those cheeky comebacks.  You miss his rough hands and how he makes you blush.  You miss how he used to look at you…

Attempting to ignore these thoughts, you stifled a yawn as you made your way to your workstation for your shift, one of the first to arrive, passing Duncan’s desk as you took your seat.  Leaning back in his chair, he had his feet propped up on the edge of his desk as he played some video game or other, and he glanced at you briefly before returning to his game, his eyes catching yours.

For a moment you thought he might greet you, but instead he craned his neck to look past you at the French programmer, Claire, you thought her name was, her computer a couple workstations away from yours.

“Oi, Claire!” he called obnoxiously and you grimaced, keeping your eyes purposefully on your monitor.  “You wanna go out some time?  I’m a proper gentleman,” he called, directing a flirty smirk her way.

Glancing over at her surreptitiously, you watched her roll her eyes.  She wasn’t into it.

“Not a chance, Taylor,” she scoffed.

“Oh, come now luv, I’d treat you right, show ya a night you wouldn’t soon forget.”

Though Claire still seemed uninterested, you spotted a slight flush creep across her face and the shit-eatting grin on Duncan’s lips was almost too much for you to take.

“How about you, darling?” Duncan called, twisting behind him to chat up Eliza, another one of your fellow analysts.  “Ever been with an Englishman?” he joked, catching her eye.

Your stomach clenching, you spun your chair suddenly and shoved Duncan’s feet from the edge of his desk.  “Oh my God, will you shut the fuck up?” you snapped, cutting off his exclamation as he nearly fell out of his chair.  “No one wants to hear your shite, y’wanker,” you hissed, not caring for the knowing look he threw you in response.

“You mean you don’t want to hear it,” he countered, his lips curling into a sneer, as if he’d caught you.  “You’re jealous,” he announced, folding his arms behind his head as he once more leaned back, lowering his voice so only you could hear him.

“I’m not jealous,” you replied firmly.  “You wanna know why?  Because there’s nothing to be jealous of,” you exclaimed.  “It’s not like anyone’s jumped at the opportunity to jump your bones.”

Duncan merely shrugged.  “I wouldn’t say that, sweetheart,” he muttered, his eyes dancing with amusement, and for a moment your stomach gave an uncomfortable lurch.

He’s bluffing, you told yourself, but you weren’t sure you believed it.

“Yeah right, Taylor,” you muttered, though your voice wavered slightly.

“What, don’t believe me?” he asked, raising his eyebrows.  “Now I said I wouldn’t compare, but…” he trailed off, giving you an appraising look as he clicked his tongue, shaking his head, “you might wanna learn some new tricks, luv.”

Mouth falling open in shock, it was lucky you couldn’t quite formulate an immediate comeback as just then the lead science officer stepped into the room.

“[y/l/n], Taylor,” she exclaimed, drawing your attention and Duncan quickly sat up at attention.

“Yes?” you both asked at the same time, a spike of worry ripping through you at the stern bite to Ute’s voice.

“In my office, please.”  Without another word she turned on her heel and walked away, trusting you’d follow.  

Sharing a nervous glance with Duncan, you scrambled to your feet to follow Ute.  You wouldn’t have been so worried if she’d only asked for him -- what with the way he’d been acting lately, trying to get under your skin, you wouldn’t be surprised if he had a stack of sexual harassment and fraternization reports filed against him.  But if you were included, all you could think was that someone had found out about you and Duncan and your little trysts.

Fuck, you thought, you couldn’t lose your job because of him.  For a fuckin’ shag, no less, no matter how good it’d been.  Fuck fuck fuck.

As soon as you got to Ute’s office, you stood anxiously next to Duncan as Ute rounded her desk to face you, crossing her arms over her chest.  “We have a problem--” she began and you could practically feel your heart leap into your throat.  Even Duncan looked like he was sweating a little, his face going pale.

“You two are my best analysts on the team,” Ute continued and you tensed further, waiting for the axe to fall.  “Which is why I need you two for this assignment.” 

As soon as the words were out of her mouth, an instant rush of relief flooded you and you sighed practically in tandem with Duncan.  “What assignment is that?” you asked, now able to focus, what with the threat of being sacked no longer looming over you.

Ute pulled out her holotablet to show you.  “There’s a faulty atmospheric control dampener for the station, located on this external panel here,” she explained, bringing up a schematic of the station with the panel’s location.  “The programming is severely out of date and needs to be updated.”

“Alright, can’t we just do it from the command center?” Duncan asked with a thoughtful frown and from the expression on Ute’s face you were beginning to understand.  “Unfortunately, wherever the station was built there was an oversight and the only way to access the panel’s controls--”

“Is from the panel itself,” you finished with a sigh.

“Wait a second,” Duncan exclaimed, a slightly panicked look in his mossy eyes.  “Are you saying that to update this program, we have to go outside to the panel itself?”

“Yes, that is exactly what I’m saying, Taylor,” Ute replied sternly.

“That sounds more like a job for-for engineering!  Not analysts like us!” he spluttered and you couldn’t help but agree with him.  When you took this job you weren’t exactly signing up to risk your life in a spacesuit.

“Usually, yes,” Ute admitted, “and we do have a team building an updated replacement, but until then we need to update this to tide us over and I don’t trust anyone but you two to reprogram this.”

Ute’s expression brooked no nonsense, which was how you found yourself climbing into a bulky spacesuit next to Duncan, preparing to be suspended in anti-gravity several million miles from Earth, tethered to the International Space Station by nothing more than a line of cable.

What could go wrong?

——

As long as you kept your eyes on the panel, you were fine.  It was the rest of it that made your vision swim and your fingers tremble, so you focused on how annoying it was to try to program while wearing such thick gloves.

Though it was better than catching sight of all that inky nothingness and then dwelling on the fact that it would be so easy for you to just drift away into the expanse.

“You scared?” Duncan’s voice echoed through your headset, the channel a private one.

“No,” you lied, a touch too quickly to sound truthful, but Duncan didn’t look any better.  “Are you?” you asked.

“Of-fuckin’-course I am!” he exclaimed, surprising you with his honesty.  “I didn’t fuckin’ sign up for this.”

“Yeah,” you breathed, agreeing with him.  “So let’s focus on getting this fuckin’ done so we can get back inside, huh?” you urged and for once Duncan didn’t argue with you.

Opening the auxiliary keyboard, Duncan got to work next to you, his eyes scanning over each line of code, searching for the outdated sequences.  “I noticed you leave during the New Year’s party, where’d you go?” he asked suddenly, taking you off guard.

“Are we really talking about this now?” you demanded exasperatedly, your eyes flicking over to him.

“Yeah, why not?  You’re kinda stuck out here with me,” he said, amusement in his voice.

“I left,” you answered simply and Duncan rolled his eyes.  

“Well, obviously,” he sighed exasperatedly.  “Shame, really.  I quite wanted a midnight kiss.”

“Oh please, I’m sure you found someone to give you one,” you huffed, your attention not straying from the small screen before you.

“Well… I didn’t,” he admitted, drawing your eyes sharply.

“But you said—“

“I made it up, didn’t I?” he said, no trace of amusement on his face now.

“So you didn’t sleep with anyone else?” you pressed, frowning.

“No,” Duncan repeated slowly.  “I’m a bit curious why it matters so much to you, though.”

Pursing your lips, you avoided his curious gaze.  “And I’m curious why you tried so hard to make me jealous,” you grumbled, the thick gloves of your space suit making you grimace.

Next to you, Duncan’s face lit up.  “So you were jealous!” he cried triumphantly.  “I knew it!”

“No, I—!” but it was too late for you to keep denying it, no use trying to hide it any longer.  Before you could say more however, Duncan gave another excited ‘whoop’ and you glanced back at the panel’s screen, finding you’d finished.

“Oh thank fuckin’ God,” he sighed, flipping the keyboard back into the panel.  “Now let’s get the fuck outta here, huh?”

As you pushed away from the panel your foot slipped from the thin ledge and you lost your grip, your leverage failing.  “Duncan!” you cried as you began to float from the edge of the station, panic setting in.

Quickly grasping your tether, Duncan held you in place, keeping you from floating any further.

“Gotcha!” he exclaimed, reeling you back in, but you could barely hear him over the rush of blood in your ears, your pulse pounding too loudly.  Your vision swam and breathing became hard as you tried, but you felt Duncan’s arm wrap awkwardly around you, hauling you back to the airlock with him.

“Almost there, I’ve got you [y/n].  It’ll be alright,” he exclaimed, his voice cutting through the buzzing that filled your ears.

Before you knew it, gravity re-engaged and you sunk to your knees, feeling much too heavy.  Clawing at the release for your helmet, you gasped a deep breath as soon as you lifted it from your head to toss away.

“[y/n]?  [y/n], you alright?” Duncan exclaimed, grabbing your suit and giving you a shake, til your eyes focused on him, his eyes wide with worry.

“I’m alright, I’m alright,” you gasped, clutching at him, needing something steady to hold on to as you finally focused on his face, the look in his emerald eyes nearly as wild as the way his curls stood out at strange angles.

“You saved me,” you murmured, awe creeping into your voice, and before Duncan could answer, you were kissing him.

Without hesitation, his hands flew to your face as his lips moved just as eagerly against yours.  “So I take it you’re done givin’ me the cold shoulder, then?” he asked, leaning in closer, searching your face.

“For now.  Are you done flirting with everything female that moves just to get a rise outta me?” you countered.

“Ha!  I knew you were jealous,” he repeated.

“Duncan, you’re on thin ice—“

Before you could finish however, Duncan’s lips were back on yours, effectively cutting your words off before pulling back to look you in the eye.

“Ah, but they didn’t present the challenge you do, luv.  I like how you keep me on my toes.”

“I like that too,” you admitted reluctantly.

“So what d’ya say we give this… whatever it is another go?” he asked, leaning in again, his eyes flicking down to your lips.

“Whatever this is?” you mused as he watched you expectantly.  Before you could answer, you heard footsteps rushing down the corridor and you looked up to see Ute and several other station officers hurrying toward you.

“What happened?  Are you alright?” Ute exclaimed, looking over you, her eyes wide.

“I slipped on the edge.  I panicked,” you exclaimed sheepishly.  “If it hadn’t been for Duncan…”

“Oh please, you were still tethered, you woulda been fine.”

Heaving a heavy sigh, Ute ran her hand down her face.  “Right, well, [y/n], as soon as you can I want you to report to the med bay for a check up,” she commanded though you opened your mouth to argue.  “And you,” she continued, her sharp gaze swinging next to Duncan.  “Make sure she gets there.”

“Yes, ma’am,” he answered, his lips quirking with amusement as he glanced back at you.

“Good,” Ute remarked, eyeing you both sternly before turning to leave.

As soon as you were alone once more, Duncan pulled you back into his arms.  “You never did give me an answer,” he pointed out and you couldn’t help but grin, noticing how desperate he was to hear what you had to say.

“Hmm, I think we should give it a probationary period before we get in over our heads again,” you mused, your lips twisting wryly, enjoying the way Duncan’s expression darkened slightly.

“What does that even mean?” he demanded, his grip on your waist tightening, his lips twitching into a frown.

“It means… maybe,” you teased, grinning wickedly before pressing a quick peck to his lips, his mouth hanging open incredulously.  “Come on, I need to get to the medical wing,” you said, pulling out of his grip and standing to finish shimmying out of your spacesuit.

“Hey, wait a second!  That’s not a real answer!” Duncan exclaimed, hurriedly trying to extricate himself from his suit as well and nearly losing his balance.

“Yeah, well, I haven’t exactly made up my mind yet.  Maybe you can persuade me,” you teased, throwing him a meaningful glance over your shoulder, enjoying being the one in control for a change.

You already knew how this would end, but you wanted to keep Duncan guessing a little while longer first.  

At least things were back to normal.

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