DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)
Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com
AI Jobs and Career
I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |
Is Google’s Carbon Programming language the Right Successor to C++?
For years, C++ has been the go-to language for high-performance systems programming. But with the rise of multicore processors and GPUs, the need for a language that can take advantage of parallelism has never been greater. Enter Carbon, Google’s answer to the problem. But is it the right successor to C++?
Google has been in the news a lot lately for their new programming language, Carbon. It’s being billed as the successor to C++, but is it really? Let’s take a closer look.
On the surface, Carbon and C++ have a lot in common. They’re both statically typed, object-oriented languages with a focus on performance. They both have a learning curve, but once you know them, you can write code that is both readable and maintainable. However, there are some key differences that make Carbon a more attractive option for modern programmers.
For one, Carbon is garbage collected. This means that you don’t have to worry about manually managing memory, which can be a pain in C++. Carbon also has better support for concurrency than C++. With the rise of multicore processors, this is an important consideration. Finally, Carbon has a more modern standard library than C++. This includes features like string interpolation and pattern matching that make common tasks easier to accomplish.
According to Terry Lambert, Carbon Programming language is probably not the successor of C++. His reason are:
“Single inheritance is a deal-breaker for me, even though the eC++ utilized by IOKit in macOS and iOS has the same restrictions.
Although it specifies stronger type enforcement, which would — in theory — also eliminate RTTI and the reflection, which eC++ has historically eliminated as well, it’s doing it via expression-defined typing, rather than explicitly eliminating it. I expect that it would also prevent use of dynamic_cast, although that’s not explicitly called out.
Let’s see if Linus approves of someone compiling the Linux kernel with Carbon, and then starting to add Carbon syntax code, into that port of Linux.”
On the surface, Carbon seems like a great choice to replace C++. It is designed to be more reliable and easier to use than C++. In addition, it is faster and can be used for a variety of applications. However, there are some drawbacks to using Carbon. First, it is not compatible with all operating systems. Second, it does not have all of the features of C++. Third, it is not as widely used as C++. Finally, it is still in development and has not been released yet.
These drawbacks may seem like deal breakers, but they don’t necessarily mean that Carbon is not the right successor to C++. First, while Carbon is not compatible with all operating systems, it is compatible with the most popular ones. Second, while it does not have all of the features of C++, it has the most important ones. Third, while it is not as widely used as C++, it is gaining popularity rapidly. Finally, while it is still in development, it is expected to be released soon.
What Is Carbon?
Carbon is a statically typed systems programming language developed by Google. It is based on C++ and shares a similar syntax. However, Carbon introduces several new features that make it better suited for parallelism. For example, Carbon provides first-class support for threads and synchronization primitives. It also offers a number of built-in data structures that are designed for concurrent access. Finally, Carbon comes with a toolchain that makes it easy to build and debug parallel programs.
Why Was Carbon Created?
Google’s primary motivation for developing Carbon was to improve the performance of its search engine. To do this, they needed a language that could take advantage of multicore processors and GPUs. C++ was not well suited for this purpose because it lacked support for threading and synchronization. As a result, Google decided to create their own language that would be purpose-built for parallelism.
Is Carbon The Right Successor To C++?
In many ways, yes. Carbon addresses many of the shortcomings of C++ when it comes to parallelism. However, there are some drawbacks. First, Carbon is still in its infancy and lacks many of the features and libraries that have made C++ so popular over the years. Second, because it is designed specifically for parallelism, it may be less suitable for other purposes such as embedded systems programming or network programming. Overall, though, Carbon looks like a promising successor to C++ and is worth keeping an eye on in the future.
Conclusion:
So, is Google’s new Carbon programming language the right successor to C++? We think that Google’s Carbon programming language has the potential to be a great successor to C++.
With its garbage collection, better support for concurrency, and modern standard library, Carbon has everything that today’s programmer needs.
It is designed to be more reliable and easier to use than its predecessor. In addition, it is faster and can be used for a variety of applications. However, there are some drawbacks to using Carbon that should be considered before making the switch from C++.
So if you’re looking for a new language to learn, we recommend giving Carbon a try.
Programming paradigms 2022-2023
Programming paradigms are a way to classify programming languages based on their features. Languages can be classified into multiple paradigms.
Some paradigms are concerned mainly with implications for the execution model of the language, such as allowing side effects, or whether the sequence of operations is defined by the execution model. Other paradigms are concerned mainly with the way that code is organized, such as grouping a code into units along with the state that is modified by the code. Yet others are concerned mainly with the style of syntax and grammar.
Common programming paradigms include:
- imperative in which the programmer instructs the machine how to change its state,
- procedural which groups instructions into procedures,
- object-oriented which groups instructions with the part of the state they operate on,
- declarative in which the programmer merely declares properties of the desired result, but not how to compute it
- functional in which the desired result is declared as the value of a series of function applications,
- logic in which the desired result is declared as the answer to a question about a system of facts and rules,
- mathematical in which the desired result is declared as the solution of an optimization problem
- reactive in which the desired result is declared with data streams and the propagation of change
Six programming paradigms that will change how you think about coding
https://youtu.be/O3tVctB_VSU
Practice Carbon Programming Language at Hackerrank or LeetCode or FreeCodeCamp
Leetcode and HackerRank coding tests don’t work in developer interviews.
Here’s the proof:
AI-Powered Professional Certification Quiz Platform
Web|iOs|Android|Windows
Are you passionate about AI and looking for your next career challenge? In the fast-evolving world of artificial intelligence, connecting with the right opportunities can make all the difference. We're excited to recommend Mercor, a premier platform dedicated to bridging the gap between exceptional AI professionals and innovative companies.
Whether you're seeking roles in machine learning, data science, or other cutting-edge AI fields, Mercor offers a streamlined path to your ideal position. Explore the possibilities and accelerate your AI career by visiting Mercor through our exclusive referral link:
Find Your AI Dream Job on Mercor
Your next big opportunity in AI could be just a click away!
Research has shown that work sample tests are VERY effective at determining if someone will we a good fit for a job. But here’s the problem: Work sample tests require applicants to perform tasks or work activities that mirror the tasks employees perform on the job.
When was the last time you had to “reverse an integer” or “find the longest substring without repeating characters”. These types of tests don’t mirror the tasks that software developers perform on the job.
AI- Powered Jobs Interview Warmup For Job Seekers
⚽️Comparative Analysis: Top Calgary Amateur Soccer Clubs – Outdoor 2025 Season (Kids' Programs by Age Group)
It’s like testing an architect by having them build a house out of playing cards. Leetcode problems are just brain teasers.
If you want to administer a work sample test, have them do a code review, build a tiny feature in your product, or read and explain some part of your product code. (Every developer knows 90% of your time is spent reading code.)
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
Developers are tired of Leetcode interviews. It’s time to stop wasting everyone’s time.
Invest in your future today by enrolling in this Azure Fundamentals - Pass the Azure Fundamentals Exam with Ease: Master the AZ-900 Certification with the Comprehensive Exam Preparation Guide!
- AWS Certified AI Practitioner (AIF-C01): Conquer the AWS Certified AI Practitioner exam with our AI and Machine Learning For Dummies test prep. Master fundamental AI concepts, AWS AI services, and ethical considerations.
- Azure AI Fundamentals: Ace the Azure AI Fundamentals exam with our comprehensive test prep. Learn the basics of AI, Azure AI services, and their applications.
- Google Cloud Professional Machine Learning Engineer: Nail the Google Professional Machine Learning Engineer exam with our expert-designed test prep. Deepen your understanding of ML algorithms, models, and deployment strategies.
- AWS Certified Machine Learning Specialty: Dominate the AWS Certified Machine Learning Specialty exam with our targeted test prep. Master advanced ML techniques, AWS ML services, and practical applications.
- AWS Certified Data Engineer Associate (DEA-C01): Set yourself up for promotion, get a better job or Increase your salary by Acing the AWS DEA-C01 Certification.
Malbolge 2022 2023
RegEx is just Malbolge for Strings:
What is the hardest programming language? For me, I say C++, C, and Malbolge. Out of all of these, Malbolge is the hardest
Replit Mobile App: Code on Android and iOS.
Z-Library. The world’s largest ebook library
Top 50 Programming Languages Ranked by the Number of Influenced Languages
Programming Breaking News and Quiz
- How to Handle a Production Incident, System Design Interview, and Job Offer: A Step-by-Step Guide…
by Devrim Ozcay | Scaling Systems & Surviving Outages (Programming on Medium) on August 7, 2026 at 9:56 pmThree practical, step-by-step frameworks — with examples — for the three moments that define a backend engineering careerContinue reading on Stackademic »
- The Spam Filter That Should Have Worked
by Dave Charles (Programming on Medium) on August 7, 2026 at 9:55 pmThey Know Your Address. Make Sure You Don’t Give Them Anything Else.Continue reading on Medium »
- Developers Are Shipping Production Tools on a Spreadsheet Platform
by ノウラ | Flare (Programming on Medium) on August 7, 2026 at 9:53 pmTechnical deep dive into Airtable’s relational engine, scripting surface, REST API, and AI agents for building real internal systemsContinue reading on Data Science Collective »
- AI Security Trends Every Developer Should Know in 2026
by Vipul Sonule (Programming on Medium) on August 7, 2026 at 9:50 pmHi, I’m Vipul — the human behind TheHackersLog.Continue reading on OSINT Team »
- Software Development Metrics You Can Count On
by The Code Curmudgeon (Programming on Medium) on August 7, 2026 at 9:46 pmI originally gave this talk in 2015 at the ICSQ ASQ conference. It was recorded, so I later put it on YouTube and delivered it a few times…Continue reading on Commit to Code Quality »
- The Secret Life of random.random(): How Python Creates Random Numbers
by Abdallah El-Sakka (Programming on Medium) on August 7, 2026 at 9:27 pmEvery programmer has written this line at least once:Continue reading on Medium »
- The Course I Failed Changed My Life
by Ahmed Umar Rehman (Programming on Medium) on August 7, 2026 at 9:22 pmWhen I started university, I had never written a single line of code.Continue reading on Medium »
- Detecting Breaking API Changes in Go with apidiff
by Cheikh seck (Programming on Medium) on August 7, 2026 at 9:16 pmA practical walkthrough of golang.org/x/exp/cmd/apidiff and how to run it in CIContinue reading on Dev Genius »
- The 2026 MCP Security Survival Guide: How to Stop Your AI Agents From Getting Hijacked (Before…
by Travel4Fun4U (Programming on Medium) on August 7, 2026 at 9:08 pmDisclosure: This post contains affiliate links. If you make a purchase through one, I may earn a commission at no extra cost to you.Continue reading on Medium »
- Decisions, Not Tickets
by Caner Duzenli (Programming on Medium) on August 7, 2026 at 9:03 pmOn handing a large body of work to a developer who implements with his own AI agents, and why what goes across is now a set of closed…Continue reading on Medium »
- From constraint models to playable puzzle gamesby /u/mzl (programming) on August 7, 2026 at 11:05 am
submitted by /u/mzl [link] [comments]
- Why is Project Leyden Ahead of its Time?by /u/OSBY_Glabay (programming) on August 7, 2026 at 3:20 am
submitted by /u/OSBY_Glabay [link] [comments]
- Why Do Programming Languages Rise and Fall? Part 2by /u/CackleRooster (programming) on August 6, 2026 at 4:53 pm
submitted by /u/CackleRooster [link] [comments]
- Designing a Movement Transaction System for a Sokoban Gameby /u/an_unreal (programming) on August 6, 2026 at 4:30 pm
Context My multiplayer game Lights Out is based on a 2D grid. Entities can only ever be in exactly one grid tile. This makes the rule evaluation really simple and understandable. However, it doesn't really feel nice to play (which you know if you've ever played any of the PuzzleScript games). At the same time, the more content is in the game, the more complex and arbitrary the game rules become. I therefore introduced the Movement Transaction System into the code base to deal with this. This includes two sides: - The gameplay code on server side deals with transactions. This bundles all movement code (including rule evaluation) into a single system. - The visualization & prediction code on client side deals with visual interpolation for moves (introducing some juice into the gameplay feel), based on the transactions managed by the server. The Transaction A single transaction includes the movement delta, a list of entities that it has affected and some flags. A transaction then undergoes several stages: - Queued: Gameplay code has requested an entity to move - Issued: The visual interpolation for the transaction has started in the client, but the entities have not been moved from a gameplay perspective - Committed: The entities have now been moved onto their new tiles, the visual interpolation is finishing - Aborted: The transaction couldn't be committed as it would've violated gameplay rules. Visual interpolation is reversed. The Visual Interpolation Whenever a transaction is issued on server-side, the server tells the clients to start a visual interpolation based on the transaction. This information includes the desired duration of the interpolation, as well as some flags (like whether to use acceleration or do a linear interpolation). The client then updates the visual interpolation every frame, until the transaction is either aborted or the target position has been reached. Simplifying Gameplay Code This new system has made the gameplay code much simpler. I can now easily query whether an entity currently has a live transaction to know whether the visual interpolation is still in progress. This enables seamless, continuous movement across the world (e.g. for fireballs moving at linear speed). This also guarantees that the visual position of an entity is always close enough to its gameplay (physical) position so that players aren't confused about the rule evaluation. Finally, the gameplay rules are now implemented in a single function called validate_transaction, instead of being spread out across all the different entities like it was before. Summary The transaction system made the gameplay code much simpler and easier to reason about, while also improving the game feel and robustness. You can find the full blog most, including more details and sample code, over on https://lightsout.afterthought.games/blog/2026-07-26-19-00 submitted by /u/an_unreal [link] [comments]
- Neoclassical C++ (2): Exploring input-output segmented algorithmsby /u/igaztanaga (programming) on August 6, 2026 at 4:19 pm
submitted by /u/igaztanaga [link] [comments]
- Build a Local Kubernetes Platform with kubara, kind, and Argo CDby /u/Happycodeine (programming) on August 6, 2026 at 3:32 pm
submitted by /u/Happycodeine [link] [comments]
- A Long Spring: 19 Years of Living with Your Past Mistakes • Arjen Poutsmaby /u/goto-con (programming) on August 6, 2026 at 12:35 pm
submitted by /u/goto-con [link] [comments]
- Bringing Post-Quantum Cryptography to Java LTS Releasesby /u/donutloop (programming) on August 6, 2026 at 11:56 am
submitted by /u/donutloop [link] [comments]
- How to Make a Nintendo 64 Game in 2026by /u/r_retrohacking_mod2 (programming) on August 6, 2026 at 9:53 am
submitted by /u/r_retrohacking_mod2 [link] [comments]
- The LuaJIT NYI That Silently Poisoned an Unrelated Hot Loopby /u/MyNameIsTrez (programming) on August 6, 2026 at 9:50 am
I was optimizing the Lua transpiler for my modding language grug and ran into a really weird LuaJIT performance bug. The same benchmark could randomly run 20× slower, and it turned out a LuaJIT NYI (Not Yet Implemented) could silently blacklist an unrelated hot loop. I wrote up the investigation here. It goes from the benchmark mystery through LuaJIT's trace recorder internals, and ends with a PR to get unpack off LuaJIT's NYI list. Feedback is very welcome! 🙂 submitted by /u/MyNameIsTrez [link] [comments]
What are the Greenest or Least Environmentally Friendly Programming Languages?
How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google are not spying on us?
What are popular hobbies among Software Engineers?
