#Grok database

[hathuablog1]

"Understanding Grok Technology Behind AI Databases: Revolutionizing Data Processing and Intelligence" 2025

Grok Technology: In the ever-evolving world of artificial intelligence (AI), various technologies are being developed to improve the way we process and manage data. Among the many innovations, Grok technology stands out as one of the most transformative tools, especially in the context of AI-driven databases. Grok, an advanced AI model designed to comprehend and process information deeply, has…

[atalienart]

idk, I'm so fed up with Al that I had to get it off my chest...

I hate Al, I hate stupid prompted images that flood every space. I hate Al popping up every time I open anything on the internet. I hate people who pretend that prompting is such a skill and so much work but are scared to actually disclose they used Al for their stupid images and text. What are you scared of? I hate people who think writing "make me a ..." makes them a creator of anything. I hate people who think generative Al is an improvement and innovation. It's not! The fact that something is new doesn't make it good! Do you know viruses? There's always a new one at the corner.

Can't you see it? It makes you dumber with every use. Your creative skills decline with every command you give to a machine. Your communication skills deteriorate every time Al writes an email for you or you talk to your virtual girlfriend. Your ability to decide about yourself shrinks every time you ask a machine what to do, what to buy, what to say. Your critical thinking vanishes (well, assuming you even had any to begin with) whenever you ask "grok, is it true?". Whenever a computer does homework for you, whenever it writes an essay for school (which you won't even proofread) or spits a picture you were supposed to make yourself for a class, you become more stupid and less skilled. It won't make you into a good writer or artist just as watching work out videos won't give you muscles.

And you mock people who don't want their brains to rot, who maintain their values, who don't want to destroy their integrity and planet, who improve their talent and skills and spend their time actually thinking and learning stuff.

You can't even see how big corporations fuck you hard and slow every time you pay them to improve their Al monster, dangling colourful pictures before your eyes like a cat toy, cackling seeing your pupils blow wide. They promise you money and lure you with a vision of fame that those pathetic, broke artists will never see in their worthless lives. But you will. You'll have it all! Just feed their wallets with your money and databases with yourself and turn off your brain. You really think you'll have money and fame? Who will ever see your pretty pictures under millions of other pretty pictures? Who will read your book, when John Pickle published 30 only yesterday using Al? Who will watch your great movie when someone else has already made one with their own face and now they're kissing their favourite actor in space in a ship with too many details? Well, at least you can use someone else's voice to scam their family. If you get caught by the police you'll have your two minutes of fame before the Al erection supplement commercial rolls in :)

Al is here to stay! Yeah, like the putrid smell of your rotten brains.

[cyrsed]

like every time i try to watch something that critiques llms/AI image generation i have to stop when it becomes really clear the person talking didn't do the bare minimum of research as to how the generation process actually works. if i could say this to anyone who has any plans on talking about AI: image generators do NOT have a database of images they're pulling from/interacting with when they create images. LLMs (generally speaking, with exceptions like grok, ig?) do NOT have access to real-time data or search engines or w/e, they are trained on a static dataset TT_TT

[dc-trinity90s]

Happy Birthday To My Guy Kon-El Superboy!!! (According to Grok and Grand Comics Database On-Sale Date The Adventures Of Superman #500 First Appearance)

[professorspork]

Hey, a little while ago, you reblogged that post about AI learning when people insert fics into AI text generators, and I wanted to offer good news and bad news: the good news is that AI learning models mostly don’t work like this. The publicly accessible text generator isn’t the whole learning model, it’s a single machine that the learning model generated. It won’t get fed directly back into the AI.

The BAD news is that there’s not really anything stopping them from saving that information separately to use later, and (much worse) anything that’s publicly available has probably already been scraped and saved. The good-in-this-context-but-depressing-overall news is that these models operate on the scale of billions of words, so, like. Idk. Individual fics ending up in a database mostly isn’t going to matter. That’s part of why the data-scraping isn’t something devs think about, ethically. This info is a paraphrase of another post I’ve seen going around saying the same thing, but I can personally corroborate it; before AI was a “crypto people hate when artists can earn a living” thing, I took some college courses on it and followed blogs about AI stuff for years. The last year or two of AI news has been really shitty :P It’s been really cool to me for a long time, but it is now clear that it’s even-more-vulnerable-than-usual to “capitalism uses every tool for oppression first” Knowing how it works is exhausting because anti-AI people are sometimes not all that much more accurate about how it actually works than the fervently pro-AI “I think chat-gpt is a person and human-generated art is dead” people, and then both of them skip talking about the more concrete problems like the “chat-gpt is propped up by slave labor” stuff.

I really appreciated this series of asks and wanted to make it available for all!

I think what we run into here is where like. A rhetorical device to invoke a sense of stakes and a bit of a guilt trip ("this is plagiarism because it feeds the AI" and its many permutations) can run up against misinformation (it's not literally becoming part of the AI's knowledge base, though as you noted it certainly COULD.) Because like

Where that post was coming from was someone being like "but why shouldn't I do this?" and the answerer resorting to "because it takes my work away from me" and this is still true in like, the rules of community and creativity if not necessarily in the hard lines of code. it's harder to articulate "this makes me uncomfortable because it's violated my ineffable sense of mutual belonging with and ownership of my own work, which I already felt on shaky ground on because it's fanwork but still FEEL with my WHOLE HEART" than it is to say "this concretely makes my words fuel for the machine" which I think people grok as a more sort of understandable breach of that social contract.

Which is why I like this post a lot because it gets at the WHY of why this is so perturbing and violating and isolating

Fandom was never meant to be a solo endeavor! when I write fic and put it out into the world, it's like echolocation. the words I put out are only half of what gives it shape and meaning to me-- the other half is the sound of it reverberating back to me as it bounces off the people it hits by way of comments, tags in reblogs, and DMs and they tell me their reactions and interpretations. that's what makes it a complete picture and not just screaming into the void.

to be removed from that process at all is a heartbreak to me; to have my words taken without my consent is insulting and misses the point and just. ultimately makes all of us that much more alone. which is to say that it's factually correct to say individual fics ending up in a database won't matter because it's probably already been scraped anyway because that's true for the AI and for the data. but individual fics DO matter insofar as like, these are choices people are making about what this hobby is and means and why they like it and what they think it's for and how they enjoy it, on a communal and social level, and THAT matters to me a great deal, in the same way that like, people now might end up getting videoed for a tiktok without their consent or whatever. it's about the erosion of privacy and respect.

but also yeah ChatGPT also runs thanks to exploited and underpaid workers, consumes horrific amounts of water in a time of increasing drought crisis and emits tons of carbon to boot.

[mariacallous]

The Trump administration is replacing some of the nation’s top tech officials with Silicon Valley talent tied to Elon Musk and companies associated with Peter Thiel. This could make it easier for Musk’s so-called Department of Government Efficiency (DOGE) engineers to gain access to sensitive government systems, sources and experts say.

Over the past few weeks, several Musk-aligned tech leaders have been installed as chief information officers, or CIOs, at the Office of Management and Budget, the Office of Personnel Management, and the Department of Energy. CIOs manage an agency’s information technology and oversee access to sensitive databases and systems, including classified ones.

"Federal agency CIOs have authority over all agency asset management, which includes software used to monitor civil servant laptops and phones,” a former Biden official with firsthand knowledge of a CIO’s capabilities tells WIRED. “CIO shops manage and control IT access to all agency databases and systems, and have oversight over all the IT contracts per FITARA [the Federal Information Technology Acquisition Reform Act]. They have lots of IT budget and head count that Musk might want to take over. In agencies, CIOs are functionally as powerful as OIGs [the Office of Inspectors General].”

So far, these new CIOs have all been appointed. At most agencies, however, the position is filled by career civil servants. Last week, the Office of Personnel Management (OPM) issued a new memo that would reclassify those nonpartisan roles, essentially allowing the Trump administration to replace CIOs at will in order to better carry out its agenda. The appointments made so far may serve as an indicator of who will take over IT departments throughout the government once the order goes into effect.

Late last month, Gregory Barbaccia was hired as the federal chief information officer, a position within the Office of Management and Budget (OMB), which oversees the performance of all federal agencies and administers the budget. Barbaccia’s LinkedIn shows that he’s spent most of his career in tech, including a 10-year stint at Palantir. When Barbaccia left Palantir in 2020, his role was head of intelligence and investigations. Palantir CEO Alex Karp recently referenced the “disruption” of DOGE’s cost-cutting initiatives and said, “Whatever is good for America will be good for Americans and very good for Palantir.” The company has made billions in government contracts. Palantir shares hit an all-time high last week after a better-than-expected quarterly earnings report. Last week, Palantir announced plans to integrate Musk’s large language model Grok with Palantir’s AI platform.

Ryan Riedel was installed as chief information officer of the Department of Energy (DOE) last week, according to reports from E&E News. At the DOE specifically, the CIO oversees all technology operations as well as cybersecurity initiatives, in addition to elements of the National Nuclear Security Administration, which oversees the US’s nuclear weapons stockpiles. Riedel reportedly worked as a “lead network security engineer” at Musk’s rocket company SpaceX.

While not every new CIO has direct ties to Musk or Palantir, they do all have deep Silicon Valley connections. Greg Hogan is now the CIO of OPM, which is essentially the US government’s HR department. Hogan has been alleged to be a special government employee and not a full-time OPM employee, according to a recent lawsuit. Hogan previously worked at Comma.AI, a company that builds automated driving software. Musk allegedly floated a job offer to Comma.AI’s former CEO George Hotz in 2015 to work on self-driving tech, but the deal reportedly soured after Hotz claimed his self-driving tech was superior to Tesla’s.

OPM confirmed that Hogan now serves as CIO. OMB and DOE did not immediately respond to requests for comment from WIRED.

The reclassification of the CIO role doesn’t affect current CIOs, but their job security is uncertain. In January, Trump signed an executive order that could remove civil servant protections, turning potentially thousands of employees into “at will” workers. By doing so, the Trump administration would make it easier to fire career civil servants in what it calls “policy-influencing” roles. In a memo last week, Charles Ezell, acting OPM director, says that the CIO reclassification is due to the office’s increased influence on policy across agencies.

“No longer the station of impartial and apolitical technocrats, the modern agency CIO role demands policy-making and policy-determining capabilities across a range of controversial political topics,” Ezell wrote.

Last week, federal workers’ unions sued the White House, arguing that the order oversteps Trump’s presidential authority.

Already, Musk associates have infiltrated a number of government agencies. WIRED has extensively reported on the DOGE staffers, many of them young, with links to Musk’s various companies and little to no government experience, gaining access to sensitive systems at a number of agencies, including the Treasury Department. DOGE is being led by a variety of Musk associates, including Steve Davis and Nicole Hollander, who helped the billionaire acquire Twitter in 2022. Thomas Shedd, a former Tesla engineer, now heads Technology Transformation Services, which is housed within the General Services Administration.

Are you a current or former government worker with insight into what's going on? We'd like to hear from you. Using a nonwork phone or computer, contact the reporter securely using a personal device on Signal at makenakelly.32.

[bills-bible-basics]

AI IS NOT TALKING TO DEMONS!

by Bill Kochman 04-09-2025

Wow! The ignorance and stupidity of some Christians! I just came across another Facebook friend who made a certain post where he erroneously claims that using AI is talking to demons. Sadly, this is not the first time I have seen this same ridiculous claim being made.

For example, he claims that when you conduct a Google search and read the AI Overview that appears near the top of the page, you are really talking to a demon. SMH!

Similarly, this same misguided person believes that when you use a chatbot such as ChatGPT, Grok, Gemini, Claude, etc , you are actually talking to a demon.

Furthermore, he is also convinced that personal assistants such as Alexa and Siri are demons as well. Again, SMH!

These Christians who make such unfounded, uneducated, foolish statements are an embarrassment to the rest of us more level-headed Christians who actually take the time to learn about and understand what AI really is, and how it works.

AI is most certainly NOT demons as this very misguided person suggests, and I challenge him to conclusively prove otherwise.

AI is modern technology plain and simple, which consists of physical computer components of various types, and computer code which relies upon very advanced algorithms, databases, LLMs -- Large Language Models -- and similar modern technologies. There is nothing spiritual or demonic about it. It is hard science and nothing more.

Regarding this person's claim that we should immediately stop using AI at all cost before it someday steals our souls, all I will say this:

If AI helps us to promote God's Word in some fashion -- and it most certainly does -- then I say use it for His glory, just as we use other modern technologies for the very same purpose.

How many of you reading this commentary use computers, or cell phones, or Bible apps? Obviously all of you. Have any demons stole your soul yet as this person foolishly claims? Obviously not!

Yet you continue to use these modern inventions as tools to advance God's Kingdom and to share the knowledge of Jesus Christ, right? You view these tools as blessings which help you to do a better job for the Lord, right?

Ironically, the person who made these ridiculous comments regarding AI being demons obviously also uses a computer or a cell phone to post on Facebook. I wonder if he considers that demonic as well. Probably not! So it sounds to me like he is practicing a double standard.

The fact of the matter is that there are are a lot of superstitious beliefs originating in Africa, where this "End Times Preacher" fellow seems to live. So this idea of AI being demons appears to be just another such false belief.

So to reiterate, talking to AI is NOT talking to demons. It is highly advanced computer code, Large Language Models and associates technologies and nothing more.

Sadly, after reading my very pointed comment to him on his own timeline, this same misguided individual responded to me with the following short message:

"Repent Brother, The Anti Christ is not your friend. Alexa and Siri are demons."

So again, this person displays his total ignorance of how AI technology actually works.

I may just decide to unfriend this person before he spreads his nonsense to other of my Facebook friends.

So does this mean that I believe that we should fully trust in AI? Of course not! In fact, in September of 2024 I wrote an article called "AI, Deepfakes and Humanoid Robots", which you can read at the following URL if you like:

https://www.billkochman.com/Articles/AI-deepfakes-humanoid-robotics.html

As some of my longtime friends will already know, I have in fact been warning for a while now that AI would result in a lot of confusion and deception.

Well, as many of you are obviously aware, it is already happening, particularly on the social networks -- such as here on Facebook -- because there are a lot of bad actors who have an agenda of one kind or another.

I mean, gosh, Facebook has been flooded with this AI stuff in recent months ad nauseam. Some of it is actually cute and heart-warming. Nevertheless, it is still AI-generated and fake.

Furthermore, some of these AI-generated posts look so real, that unless you have a sharp eye, know what to look for, have a lot of common sense and logic, and really take the time to verify what you are reading or listening to, you could be deceived by it.

Sadly, I already see many naive, gullible people — including some of my own Christian friends — being deceived by it every single day. Please be careful! Don't be too hasty to accept everything at face value. Research it if need be.

The tragedy is that we are only at the beginning of this AI revolution. Who knows where it may eventually lead. So again, please stay alert!

At the same time, watch out for well-meaning but deceived Christians -- such as the person I discussed earlier -- who post false information, and who speak of things which they do not even understand. As the Apostle Paul so wisely wrote:

"And if any man think that he knoweth any thing, he knoweth nothing yet as he ought to know."

1 Corinthians 8:2, KJV

Thanks for taking the time to read this.

[propicsmedia]

If you think Canada Should Charge Elon Musk with Treason. If you think Canada Should Charge Elon Musk with Treason. As a Canadian Citizen he has waged an economic war with Canada and has allowed access of his Doge Team to the US government databases which also breached a Canada-US Tax Treaty and Privacy Laws. What is his DOGE Team using data for? Could he be using it to access information on individuals and to also train his GROK AI? This is not only illegal but could also be giving a major unfair advantage to his AI systems over the competition. He is a threat to Canada's national security and sovereignty. SIGN THE PETITION AND HAVE A SAY FROM ANYWHERE IN THE WORLD! Share the petition with others. https://chng.it/29G6jg2swr #elonmusk #elonmusknews #databreach #news #BreakingNews #DOGE #UnitedStates #canada #germany #france #China #unitedkingdom #TeslaTakedown #SpaceX #X #Twitter #media #NationalSecurity #elbowsup #elbowsupcanada #ImpeachTrump #Trump #TrumpIsNotFitToBePresident #Tariffs #TariffWar #Canadians #artificialintelligence #grok #AI #machinelearning #taxes #data #machinelearning

[fromdevcom]

Python is among one of the most popular and code-efficient languages available in the modern IT world. One of the primary reasons is that it has several features that are not available in any single language and it rather motivates programmers to write a readable code. As a language, Python has some powerful constructs for high-speed development and with its large standard library at the disposal, it becomes fairly easy to write new tools. Programmers working with other languages find Python comparatively easier to follow and understand. If you are working into development, it makes perfect sense to work with a web framework because it can help you jump-start your web application. It allows you to create a simple design with individual components for easy development. Django Django comes with its individual benefits including lesser code and easy web development process. High-end developers have always used it and one can easily create high-end apps with Django. Further, it allows quick development with features such as templating and custom tags/filters for better flow control. It follows the DRY (Don’t Repeat Yourself) principle and you can reuse the code for quicker development. Flask Flask is a microframework because of its extensible yet simple core. A new programmer might find it lacking several features such as form validation, database abstraction layer, and use of third-party libraries for adding common features. However, it allows extensions that make it comparatively easier to add the required functionality. Some of its features are perfect for development such as unit testing and it allows secure cookies for client-side applications. It is suited for light-weight applications and projects. CherryPy One of the most important reasons behind the origin of CherryPy is its compatibility with Python and its pythonic interface allows developers to integrate it just like any other module available in python. Another excellent feature is the ability to customize its every function and it comes with a native adapter (mod_python) making it excellent for development. It offers support for every single WSGI-enabled adapter and it allows wide implementation of CherryPy. Pyramid Pyramid is known for its efficient and fast-pace development abilities. One of the best things about this framework is the inclusion of some of the most exclusive features available in Python, Perl, and Ruby. This open source web framework has platform independent MVC structure and a minimalistic approach in development. Further, it is among the first platforms to reuse code at such a massive scale making development efficient. Web.py It is a unique framework in itself primarily because of its simplicity and the powerful development ability. You can comfortably write web apps in python; hence, taking the liability out of frameworks. Programmers enjoy working on web.py because of its zero limitations and ease of use. Some programmers might find its fewer features limiting; however, it allows room for successful integration and you don’t have to carry on all of these features, especially when you don’t need them. Grok It was motivated by the Zope toolkit and it started as an easy extension of zope toolkit making it easier for rookie programmers to use it. If you are starting into web applications, Grok can offer multiple building blocks and it has an excellent community, which is always ready to support. It offers a much simpler but rather agile mode of learning Python. It comes with a DRY approach making it an excellent tool with convention over configuration structure. Pylons Flexibility is one of the key features of pylons framework. Its central idea is to combine some of the best features offered by different Python frameworks and combine them together at a single place. Pyramid was one of the first offerings of Pylons and it laid emphasis over speedy and flexible development practices. You can literally use and combine any feature of your choice making web development efficient.

TurboGears It can be called as the conclusive framework with the features of its predecessors and none of the limitations experienced by other Python frameworks. It is possible to extend it into a full-stock solution and it even suits simple micro framework projects in a similar manner. It never feels like as if you are working on a framework and rather feels like writing new functions. You can create a read-to-extend application within a few minutes and it has a huge tutorial collection over the internet. Web2py The most important factors of web2py are its zero external dependencies and the ability to create, alter, manage, and modify your application within the browser only. You don’t have to work over simple web development tasks and most of these are automated for quicker development. The programmer doesn’t even require a single package for development, debugging, testing, deployment, and even database handling purposes. You can do it all with built-in web interface and it doesn’t has to be installed prior to usage. The programmer can initial a global environment with every http request and it is nothing like the other modules available in its parent frameworks. Zope2 Zope is a complete family of different web frameworks and it was pretty much the only framework that promoted Python as a programming language. With the development of other frameworks, zope2 is rather limited to the content management systems in our current development environment. The Zope tool kit is an excellent resource of libraries that allows you to reuse code and different libraries for efficient programming. CubicWeb The most important pillar of CubicWeb is code reusability and it comprises of code units in the form of cubes. It is highly flexible and yet powerful with some extraordinary features including RQL query language or a semantic-view feature for efficient coding. It is the best solution for semantic web applications and offers the ideal environment. As a programmer one must understand the flexibility and power of Python as a programming language. The choice of a framework depends upon the level of complexity and the intended usage of your web application. It is crucial to measure the load, scalability and efficiency required in the project. Choose a framework that can offer scope for scalability in future developments.

[natures-uprise]

Key Points of Grok and Deep Search on iPhone 🤩

If you purchase an Alexa Echo Device you can control the internet or setup routine tasks and reminders. Deep search likely refers to searching the deep web, which is the part of the internet not indexed by standard search engines like Google or Bing. It seems likely that with deep search, you can access academic papers, public records, and specialized databases not found through regular…

[dibelonious]

Claude and Grok are definitely the best AIs for coding nowadays. Grok is also amazing for news research due to its database.

[trumpledhearts]

Who realized this has been about feeding Grok all this time? #SuddenlySeymore

[innovativesjobs]

How to Prepare for Interviews for Senior Software Engineer Jobs

“Crack the Code: Mastering Your Interview for Senior Software Engineer Jobs”

Landing a position in Senior Software Engineer Jobs is no small feat. It requires not only exceptional technical skills but also the ability to demonstrate leadership, problem-solving prowess, and a deep understanding of software development principles. If you’re aiming to secure a role in Software Engineer Jobs at the senior level, you need a strategic approach to your interview preparation. Here’s a comprehensive guide to help you ace your interviews and land that dream job!

1. Understand the Role and Expectations

Before diving into preparation, it's crucial to understand what makes a great Senior Software Engineer. Here’s what recruiters typically look for:

Technical Expertise: Deep knowledge in programming languages (Java, Python, C++), algorithms, and data structures.

System Design Skills: Ability to design scalable, reliable, and efficient systems.

Leadership and Mentorship: Proven track record of leading teams, mentoring junior engineers, and driving projects to completion.

Problem-Solving Ability: Strong analytical skills and a knack for tackling complex technical challenges.

2. Revise Core Technical Skills

As a Senior Software Engineer, you must demonstrate a strong grasp of technical fundamentals. Here’s a focused approach:

Advanced Algorithms and Data Structures: Brush up on algorithms (sorting, searching, dynamic programming) and data structures (trees, graphs, heaps). Practice problems on platforms like LeetCode, HackerRank, or CodeSignal.

System Design: Master system design principles. Study case studies and practice designing scalable systems. Key areas include load balancing, caching, database sharding, and microservices architecture. Resources like Grokking the System Design Interview can be invaluable.

3. Hands-On Coding and Problem Solving

Coding interviews are a critical component of Senior Software Engineer Jobs. Here’s how to excel:

Mock Interviews: Participate in mock interviews with peers or use platforms like Pramp or Interviewing.io to simulate real interview scenarios. This helps you get comfortable with the format and receive feedback.

Coding Practice: Work on coding challenges regularly. Focus on solving problems that are likely to be asked in senior-level interviews. Use tools like LeetCode, Codeforces, or TopCoder.

4. Deep Dive into Technologies and Tools

Senior roles often require expertise in specific technologies. Here’s a breakdown:

Programming Languages: Ensure you are proficient in the languages commonly used in the industry. For instance, Java, Python, C++, or JavaScript.

Development Tools and Frameworks: Be well-versed in popular frameworks and tools relevant to your field. This might include Spring Boot for Java, Django for Python, or React for JavaScript.

DevOps and CI/CD: Familiarize yourself with DevOps practices, CI/CD pipelines, and tools like Jenkins, Docker, Kubernetes, or Terraform. Understanding these can give you an edge.

5. Showcase Your Problem-Solving Skills

Problem-solving is a core competency for senior roles. Here’s how to showcase it:

Real-World Problems: Prepare to discuss past projects and problems you’ve solved. Highlight your role, the challenges faced, and the impact of your solutions.

Technical Deep Dives: Be ready to dive deep into technical discussions. Explain your thought process, decisions, and trade-offs. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

6. Prepare for Behavioral and Situational Questions

Senior positions often come with leadership and behavioral questions. Here’s how to prepare:

Leadership Experience: Be ready to discuss your experience in leading teams, mentoring peers, and driving projects. Use specific examples to demonstrate your leadership style and achievements.

Problem-Solving Scenarios: Expect situational questions that test your decision-making and problem-solving skills. Practice questions like, “How do you handle conflicts within your team?” or “Describe a time when you had to solve a complex technical problem.”

7. Demonstrate Your Soft Skills

Soft skills are crucial for senior roles. Here’s how to highlight them:

Communication Skills: Clearly articulate your thoughts and ideas. Practice explaining complex technical concepts to non-technical stakeholders.

Collaboration and Teamwork: Showcase your ability to work effectively in a team. Discuss your experience with cross-functional teams, code reviews, and collaborative projects.

8. Research the Company and Role

Understanding the company’s culture, products, and technologies is essential:

Company Research: Study the company’s website, recent projects, and news. Understand their tech stack, products, and market position.

Role-Specific Preparation: Review the job description carefully. Align your skills and experiences with the requirements. Prepare to discuss how you can contribute to their projects and goals.

9. Ask Insightful Questions

Asking thoughtful questions can set you apart:

About the Team: Inquire about the team structure, development processes, and current projects. Questions like, “What are the biggest challenges the team is facing?” or “How does the team handle code reviews?”

About Growth and Opportunities: Ask about career growth opportunities, learning and development programs, or future projects. Questions like, “What opportunities are there for professional development?” or “What are the next big projects the team is working on?”

10. Practice, Practice, Practice

The key to acing your interview is consistent practice:

Mock Interviews: Schedule regular mock interviews with peers or mentors. Use platforms like Interviewing.io or Pramp for real-time feedback.

Coding Practice: Dedicate time each day to coding practice. Solve problems on competitive coding sites and review your solutions.

Feedback Loop: Seek feedback on your coding and interview performance. Use this feedback to refine your approach and improve continuously.

[leam1983]

Ruins

Watched Kyle Hill's video on the Dead Internet Theory - which AI has all but seemingly proven to be mostly true - and I came to the realization that we've already got the complete distaff counterpart to AI Techbro frenzy.

I'm referring to NeoCities pages.

NeoCities is a web-hosting service that's focused on bringing back something of the Internet of the late nineties and early aughts; the idea of scrappy, indubitably user-created content that has zero search engine relevance but high personal value. Sites about your summer vacation or to host your questionable Transformers slash-fics, or just sites that seemingly exist to resurrect the early aughts' gaming tentpoles like The Phrozen Keep - along with the flurry of GIFs that resulted from someone managing to open up Diablo's PAK files. If you remember Space Jam's website or downloading Jamella's Item Generator for Diablo, chances are you remember the exact aesthetic I'm referring to. Windows-core, Vaporwave, the era of the Frames-laden page meticulously sliced through Adobe Dreamweaver in the halcyon days that predated Big Red turning power-mad; the era of Lingo being used to assemble, line by line, the hottest PowerPoint analogue ever known to man.

I'm a child of that era. I came of age back when databases didn't have dedicated scrapers and crawlers; back when you could make a living out of picking up cartfuls of books for a library, day by day, and painstakingly entering them into a file system designed by and for human hands. Not so the database would swallow them and regurgitate something out, but just so visitors to the library would just need a few minutes to know exactly what they were looking for happened to be located. That was my first job as a teen, actually. FileMaker was my first taste of aggregation, back when it happened thanks to human labor only facilitated by the use of computers. In those days, most of everything online referred to something that wasn't. Happen to be a fan of a particular movie? Good, there's physical copies aplenty. All you'd find online would be supplemental material. Non-essential, but appreciated nonetheless.

I'm thinking this is what we need to bring back, to foster again. In an age where 98% of all web traffic is AI-powered, you realize we're letting bad actors obsessed with gaming SEO tools turn what should've been a modern Library of Alexandria accessible worldwide into meaningless slop written by no-one and designed for nobody. In two months, ChatGPT 4o is now able to produce more of a volume of text that has ever existed in human history - all of it with practically no oversight.

I'm glad, when I see Sam Altman take to the US Congress to plead for further regulations, even if his demands yield nothing. It means he's at least aware of the problem. Conversely, I'm saddened by Elon Musk's decision to just let Grok feed off of Twitter's database of posts - as if most of its current and former content base hadn't already been bot-powered. Google buying all of Reddit's data for the purposes of furnishing Gemini's training text is a small-scale catastrophe, as it shows a staggering ignorance of Reddit's userbase. It's almost as if Techbros think nobody shitposts online, except for themselves. The end result is, of course, both hilarious and terrifying, such as Gemini seriously suggesting that someone should eat a few small rocks on a daily basis - after pulling text from The Onion - or Google's generated responses stating that opening your parachute after jumping off a plane is a statistically unsound way of ensuring your survival.

Considering, I'm thinking we should entomb the web as we know it, leave it running for the sake of various business-related bespoke sites and tools - but stop interacting with it. Instead, we should build a new layer for the Clear Web, populated exclusively and monitored exclusively by humans.

Imagine a "clear" email server, for instance. The Mailer daemon is replaced with a flesh-and-bones Account Manager, whose job it is to filter out spam and mark out high-priority content. With the right hires, you could practically kill current scamming practices in the womb, using this technique. Echo chambers could become notably more porous if social networks were peer-reviewed, and a video hosting platform where "the algorithm" is literally just good old user engagement would be likely to be able to keep its levels of toxic content much lower than, say, YouTube ever could. If this new layer of the Internet were peer-driven, you could bring back all sorts of jobs that are currently threatened by AI, while retaining the lessons learned by the AI frenzy.

I'd also advocate for the old, AI-driven web to be preserved in a vertical slice. We could probably do away with most of it, but the current craze - and its noxious effects - shouldn't be forgotten. The Internet as we know it today is increasingly made by and for AI scrapers, and the idea of wiping everything and restarting is just as dangerous. AI is already the domain of scam artists and thieves - like any new technology - and wiping the slate clean would only give these bad-faith actors more leeway.

As a closing note, I find it kind of interesting to see how we've effectively skipped the realization of Cyberpunk as we define it, and gone straight into Post-Cyberpunk, with the radical transformations of yesterday rotting away mere months into their existence and leaving us with naught but ruins - or to paraphrase Shakespeare, an expanse full of sound and fury, signifying nothing.

[deepsfutura]

Popular Python Frameworks 2024

Django

Developers may swiftly create complicated programs and apps with Django, an open-source, free Python framework. Python is a powerful tool for web developers to create high-quality online apps. Developing web apps and APIs is a breeze with Django, one of the greatest Python frameworks. It has been utilized for the development of more than 12,000 projects. The large library collection, minimal coding requirements, and component reusability of the Python framework make it well-liked.

CherryPy

CherryPy is a Python web development framework that is simple, fast, and stable. It may operate on any functional framework that supports Python and is available as open-source software. You can use any type of technology for data access and templating with the CherryPy web framework. It is capable of performing all the functions of a web framework, including file uploads, sessions, static content, cookies,etc.

Using CherryPy, developers may create web applications in the same way that they would any other Python object-oriented program. As a result, minor source code is developed faster.

Pyramid

The Pyramid Python web development framework is used by IT heavyweights including Yelp, Dropbox, Mozilla, and SurveyMonkey. Its simplicity and flexibility have made the framework popular. Python 3 is used to run Pyramid. To create intricate projects and necessary web apps, developers can utilize the Pyramid framework. Because of its transparency and quantifiable quality, even seasoned Python developers hold it in high respect.

Grok

ZPK technology serves as the foundation for the web framework Grok. Accelerating app development is the goal of the open-source Grok framework. Grok task needs to suggest a wide range of standalone and network libraries from which developers can select. Additionally, Pylons and TurboGears are two other full-stack Python frameworks that are similar to the framework’s user interface.

TurboGears

A full-stack Python web application framework powered by data is called TurboGears. The purpose of its design is to address the shortcomings of several popular frameworks for developing mobile and web apps. Software developers can start creating web applications with a minimal setup thanks to its empowerment. The JavaScript development tools provided by TurboGears facilitate the construction of Python websites for web developers and Python web development businesses. Elements like SQLAlchemy, Repoze, WebOb, and Genshi allow you to construct web apps considerably more quickly than with current frameworks. Pylons and other web servers are supported, along with several databases.

Web2Py

With Web2py, you can test and maintain web applications with a code editor, debugger, and deployment tool. Windows, Mac, Unix/Linux, Google App Engine, and more platforms are all supported by this cross-platform framework. Using an online interface, a web server, and an SQL database, the framework simplifies the process of developing Python apps. Through web browsers, it allows clients to create, edit, publish, and maintain web apps.

Flask

Based on the Sinatra Ruby framework, Flask is a Python framework available under the BSD license. Flask is dependent on the Jinja2 template and the Werkzeug WSGI toolset. The main goal is to support the establishment of a solid foundation for web applications. The Python backend framework is extensible to developers in any way they see fit. Still, it was intended for unrestricted use. Large corporations, such as Pinterest and LinkedIn, have used Flask. Flask works better for simple, tiny projects than Django. As a result, you may anticipate integrated unit testing, web server development, and support for Google App Engine.

Bottle

Small-scale frameworks like The Bottle are among the best available for Python web development. It was initially created for creating web APIs. Bottle attempts to perform all of these within a single source document as well. The Python Standard Library is the only dependency it has. Bottle’s default features include direction, utilities, templating, and basic abstractions over the WSGI standard. Coding with a full-stack framework will get you much closer to the metal, much like with Flask.

Tornado

The web framework and unconventional framework library for Python is called Tornado. The framework I/O is non-blocking. Furthermore, when designed correctly, the framework can handle more than 10,000 simultaneous connections, resolving the C10k issue. It is therefore a fantastic tool for developing applications that need to support many concurrent users and high performance.

BlueBream

A server, framework, and library for web developers, BlueBream is also available as an open-source resource. Previously known as Zope 3, it was created by the Zope group. With its many reusable and appropriate pieces, this framework works best for medium-sized and large-scale tasks. ZTK, or Zoop Toolkit, is used by BlueBream. It has vast expertise, therefore it satisfies the primary requirements for robust, consistent, and flexible programming.

To sum up, the abundance of Python frameworks suggests that opportunities abound in the software development industry. At Futura Labs, one of Calicut’s top software training facilities, we understand how important it is to understand these frameworks. Every framework offers advantages of its own, including the flexibility of Django and the ease of use of Flask. You may take advantage of these useful tools to reach your full potential and stay ahead in the quick-paced software development market by joining Futura Labs right now.

[kenyatta]

What if AI smashes creation and aggregation into each other simultaneously?   An easy example to grok is prose. Right now The New York Times will A/B test headlines to see which ones drive more email opens and clicks. However, GPT-4 means that, theoretically, you could A/B test the entire body of pieces. Does a more sardonic tone perform better? How about a TL;DR at the top? We can take this idea even further.  With technology available today, I bet you could build a personalized version of The New York Times. The copy would be in the style of your favorite author, the stories surfaced would be precisely tuned to your interests. Sure, if you prefer an artisanal touch, you could keep the original journalist’s copy, but most people won’t.  Shoot, why do you even need articles at all? An AI bot could know what topics you care about and surface the facts you would care about for the day. If you want to know more, simply ask. In this scenario, publications are relegated to being databases. Journalists' roles would consist of cultivating sources and punching data points into the AI. The software would take care of the rest.

How AI Changes the Media Business - Napkin Math - Every