06Jun

Learning a new programming language takes time and money.

With fewer employers springing for the cost of training that isn’t immediately and directly necessary, developers understandably want to ensure that their investment will pay off.

No sense learning a language like Matlab, which had fast rise in popularity when it came on the scene in 2013 only to have a decline almost as quick. That’s what the latest rankings from RedMonk show.

No one is saying Matlab has disappeared. Just the contrary. It’s still being used in a variety of specialty areas. But as far as being discussed and referenced on Stack Overflow or code created on GitHub, it’s popularity has waned.

The chart RedMonk prepares shows that a few languages have strong staying power. JavaScript has held the top spot in all but two of the years between 2012 and 2021. Java, PHP, C# and Python have all been in the top five for years. Python unseated Java a couple years ago to take 2nd place in the rankings.

Explaining the methodology, RedMonk says, “The idea is not to offer a statistically valid representation of current usage, but rather to correlate language discussion and usage in an effort to extract insights into potential future adoption trends.”

That said, an article on the tech careers site Dice.com says the RedMonk rankings are a useful guide to languages that have staying power. “It’s always worth looking at the latest updates,” the article says.

Discussing the top ranking languages, Dice says, “Employers have an incredible hunger for technologists skilled in these languages, both to build new applications and maintain mountains of legacy code.”

RedMonk language ranks - blog.jpg

Based on an analysis of millions of job postings last year, the five most frequently mentioned languages in order are SQL, Java, Python, JavaScript and C#.

Citing data from Burning Glass, another Dice post explains that “SQL developers earn a median salary of $92,504, with the profession projected to grow 11.5% over the next decade. Database administrators, who utilize SQL quite a bit, make nearly as much ($89,561) with exactly the same projected growth.”

The RedMonk list, like so many other rankings, is just one bit of intelligence. However, it does show the endurance of legacy languages.

“You can feel safe learning an older language such as Python or JavaScript today, because it’s not going anywhere soon,” says Dice. “Newer languages such as Kotlin attract a lot of buzz, but it might take years for them to become as ubiquitous.”

Photo by James Harrison on Unsplash

Anthropic Unveils Claude 3: Redefining AI Chatbots with Enhanced Capabilities

Anthropic, the AI startup backed by Google and with substantial venture capital, has just introduced the latest iteration of its GenAI technology: Claude 3. This announcement marks a significant advancement in AI capabilities, positioning Claude 3 as a formidable competitor even against OpenAI’s GPT-4.

Advanced Capabilities

According TechCrunch, “Claude 3, as Anthropic’s new GenAI is called, is a family of models — Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus, Opus being the most powerful. All show “increased capabilities” in analysis and forecasting, Anthropic claims, as well as enhanced performance on specific benchmarks versus models like ChatGPT and GPT-4 (but not GPT-4 Turbo) and Google’s Gemini 1.0 Ultra (but not Gemini 1.5 Pro).”

Multimodal Functionality

One notable feature of Claude 3 is its multimodal functionality, enabling it to analyze both text and images. This capability, like some iterations of GPT-4 and Gemini, allows Claude 3 to process various visual data such as, “…photos, charts, graphs and technical diagrams, drawing from PDFs, slideshows and other document types.” TechCrunch went further to note, “In a step one better than some GenAI rivals, Claude 3 can analyze multiple images in a single request (up to a maximum of 20). This allows it to compare and contrast images, notes Anthropic.” However, Anthropic has imposed limits on image processing to address ethical concerns, “Anthropic has disabled the models from identifying people…”

Claude 3’s Limitations

While Claude 3 showcases remarkable advancements, it’s not without limitations. TechCrunch reported that, “…the company admits that Claude 3 is prone to making mistakes with “low-quality” images (under 200 pixels) and struggles with tasks involving spatial reasoning (e.g. reading an analog clock face) and object counting (Claude 3 can’t give exact counts of objects in images).” Anthropic promises frequent updates to Claude 3, aiming to enhance its capabilities and address existing limitations. These updates will include improvements in following multi-step instructions, structured output generation, and multilingual support, making Claude 3 more responsive and adaptable to user needs.

As Anthropic continues to innovate and expand their offerings, the company remains dedicated to fostering a transparent and responsible approach to AI development. With substantial backing and a clear roadmap for future enhancements, Anthropic is poised to share the future of AI-driven solutions and pave the way for transformative advancements in various domains.

If you’re looking to take your career to the next level be sure to check out our IT page.

Businesses Are Seeing The Value of Blockchain Sample

Now organizations in sectors well beyond the pioneers in finance are investing in blockchain to protect data, decentralize processes and facilitate asset and data transfer.

“It’s an appealing model for many sectors, promising transparency and trust as it helps make value exchange possible,” says a SmartBrief article. Although focusing mostly on the financial sector, which is where blockchain found its earliest uses, the article mentions the steady creep of the technology into other industries and even slowly becoming commoditized as “blockchain as a service.”

“Amazon and Microsoft both currently offer BaaS, and enterprises as well as startups are taking advantage of it,” says SmartBrief. Citing a Gartner survey of CIOs, the article notes that “60% expected their firms to start or continue adopting blockchain-based technology between now and 2023.”

Earlier this year, Deloitte issued a blockchain trends report. Besides describing the evolving technology and the features each different approach offers, Deloitte found that some of the fastest growth in blockchain investments was coming in such unexpected industries as professional services – a sector that includes the staffing and employment industry – and energy and resources. In each of those 38% and 43% respectively of the firms surveyed were spending at least $5 million each on blockchain initiatives.

Not unexpectedly, the largest percentage of businesses investing in blockchain were in technology, media and telecom.

“More organizations in more sectors — such as technology, media, telecommunications, life sciences, health care, and government — are expanding and diversifying their blockchain initiatives,” Deloitte observes.

Like the financial sector, life sciences and health care deal with highly sensitive medical data they must protect or face legal consequences. Those two sectors are where blockchain “can have a more immediate and meaningful impact,” says Deloitte. They are in an industry, the report explains, “In which data transparency, speed of access, immutability, traceability, and trustworthiness can provide the information necessary for life-altering decisions.”

Interestingly, Gartner assigns a similar importance – not life or death, but still vital – to blockchain’s value to media.

“Organizations and governments are now turning to technology to help counter fake news, for example, by using blockchain technology to authenticate news photographs and video, as the technology creates an immutable and shared record of content that ideally is viewable to consumers,” Gartner said.

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