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How Artificial Intelligence Is Changing the Future of Programming.

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In recent years, artificial intelligence (AI) has become one of the most transformative forces in the tech industry. Far from being just a buzzword or a futuristic concept, AI is actively reshaping how we program, build software, and tackle complex problems. For the geek community—passionate about technology, coding, and innovation—understanding AI’s impact is essential for staying ahead.

AI in Programming: More Than Just Automation

Traditionally, programming involved painstakingly writing code line by line, debugging manually, and optimizing performance through trial and error. However, AI tools like OpenAI’s GPT models, Codex, and others are fundamentally changing this process. These AI-powered assistants can write code snippets, suggest fixes, and even generate whole functions based on natural language prompts.

For example, instead of typing out boilerplate code for a web app or API, developers can describe what they need, and AI can produce functional code almost instantly. This kind of automation not only speeds up development but also reduces human errors and repetitive tasks.

Boosting Productivity and Creativity

One of the biggest benefits of AI in programming is its ability to increase productivity. By handling routine tasks like syntax correction, code formatting, and simple bug fixes, AI frees up developers’ time to focus on creative problem-solving and designing innovative features.

Moreover, AI can serve as a collaborative partner. Imagine brainstorming ideas with an AI that understands your project context, offers alternative approaches, or even writes tests to ensure your code’s reliability. This synergy between human creativity and machine efficiency opens new doors for what can be achieved.

Learning and Skill Development

For beginners and seasoned coders alike, AI offers powerful learning opportunities. New programmers can use AI to understand how certain algorithms work, get instant explanations for error messages, or receive guidance on best coding practices. For experts, AI can suggest modern frameworks, optimization techniques, or security improvements that might otherwise be overlooked.

Challenges and Ethical Considerations

Despite these advantages, integrating AI into programming workflows isn’t without challenges. One key concern is the quality and reliability of AI-generated code. Since AI models learn from vast datasets that may include outdated or insecure examples, the generated code might sometimes introduce bugs or vulnerabilities.

Another issue is accountability. When AI writes code, who is responsible for its flaws? Developers must thoroughly review and test AI-assisted code to ensure it meets quality standards.

There are also ethical questions around the impact of AI on employment. While AI can enhance programmer productivity, it might also reduce demand for certain entry-level coding jobs or routine tasks. The community needs to discuss how to balance AI’s benefits with potential disruptions to the job market.

The Future of Programming with AI

Looking ahead, AI will not replace programmers but empower them to work smarter and faster. We’re likely to see deeper integrations of AI into development environments, smarter debugging tools, and more intuitive interfaces that allow non-programmers to create software using natural language.

For geeks passionate about technology, mastering AI-assisted programming tools will be a vital skill. Staying curious, experimenting with these tools, and participating in discussions about their ethical use will help ensure AI is a force for positive innovation.

Conclusion

Artificial intelligence is already revolutionizing programming in profound ways. From automating mundane coding tasks to boosting creativity and learning, AI is becoming an indispensable tool for developers. While challenges remain, the future looks bright for those who embrace this technology and use it responsibly.

Are you using AI tools in your coding projects? How has it changed your workflow? Share your thoughts and experiences below — let’s geek out together about the future of programming!

Additional sentence:

The era of AI-assisted programming is just beginning, and the possibilities are truly limitless for those ready to embrace the change.



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Microsoft Says Azure Service Affected by Damaged Red Sea Cables

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Microsoft Corp. said on Saturday that clients of its Azure cloud platform may experience increased latency after multiple international cables in the Red Sea were cut.



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Geoffrey Hinton says AI will cause massive unemployment and send profits soaring

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Pioneering computer scientist Geoffrey Hinton, whose work has earned him a Nobel Prize and the moniker “godfather of AI,” said artificial intelligence will spark a surge in unemployment and profits.

In a wide-ranging interview with the Financial Times, the former Google scientist cleared the air about why he left the tech giant, raised alarms on potential threats from AI, and revealed how he uses the technology. But he also predicted who the winners and losers will be.

“What’s actually going to happen is rich people are going to use AI to replace workers,” Hinton said. “It’s going to create massive unemployment and a huge rise in profits. It will make a few people much richer and most people poorer. That’s not AI’s fault, that is the capitalist system.”

That echos comments he gave to Fortune last month, when he said AI companies are more concerned with short-term profits than the long-term consequences of the technology.

For now, layoffs haven’t spiked, but evidence is mounting that AI is shrinking opportunities, especially at the entry level where recent college graduates start their careers.

A survey from the New York Fed found that companies using AI are much more likely to retrain their employees than fire them, though layoffs are expected to rise in the coming months.

Hinton said earlier that healthcare is the one industry that will be safe from the potential jobs armageddon.

“If you could make doctors five times as efficient, we could all have five times as much health care for the same price,” he explained on the Diary of a CEO YouTube series in June. “There’s almost no limit to how much health care people can absorb—[patients] always want more health care if there’s no cost to it.”

Still, Hinton believes that jobs that perform mundane tasks will be taken over by AI, while sparing some jobs that require a high level of skill.

In his interview with the FT, he also dismissed OpenAI CEO Sam Altman’s idea to pay a universal basic income as AI disrupts the economy and reduce demand for workers, saying it “won’t deal with human dignity” and the value people derive from having jobs.

Hinton has long warned about the dangers of AI without guardrails, estimating a 10% to 20% chance of the technology wiping out humans after the development of superintelligence.

In his view, the dangers of AI fall into two categories: the risk the technology itself poses to the future of humanity, and the consequences of AI being manipulated by people with bad intent.

In his FT interview, he warned AI could help someone build a bioweapon and lamented the Trump administration’s unwillingness to regulate AI more closely, while China is taking the threat more seriously. But he also acknowledged potential upside from AI amid its immense possibilities and uncertainties.

“We don’t know what is going to happen, we have no idea, and people who tell you what is going to happen are just being silly,” Hinton said. “We are at a point in history where something amazing is happening, and it may be amazingly good, and it may be amazingly bad. We can make guesses, but things aren’t going to stay like they are.”

Meanwhile, he told the FT how he uses AI in his own life, saying OpenAI’s ChatGPT is his product of choice. While he mostly uses the chatbot for research, Hinton revealed that a former girlfriend used ChatGPT “to tell me what a rat I was” during their breakup.

“She got the chatbot to explain how awful my behavior was and gave it to me. I didn’t think I had been a rat, so it didn’t make me feel too bad . . . I met somebody I liked more, you know how it goes,” he quipped.

Hinton also explained why he left Google in 2023. While media reports have said he quit so he could speak more freely about the dangers of AI, the 77-year-old Nobel laureate denied that was the reason.

“I left because I was 75, I could no longer program as well as I used to, and there’s a lot of stuff on Netflix I haven’t had a chance to watch,” he said. “I had worked very hard for 55 years, and I felt it was time to retire . . . And I thought, since I am leaving anyway, I could talk about the risks.”

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NFL player props, odds, bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

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The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league’s biggest stars. From the 13 games on Sunday to Monday Night Football, you’ll have no shortage of player props to wager on. There are several players returning from injury-plagued seasons a year ago who want to start 2025 off on the right note, including Trevor Lawrence, Alvin Kamara and Stefon Diggs. Their Week 1 NFL prop odds could be a bit off considering how last year ended, and this could be an opportunity to cash in.

Kamara has a rushing + receiving yards NFL prop total of 93.5 (-112/-114) versus Arizona on Sunday after the running back averaged 106.6 scrimmage yards in 2024. The Cardinals allowed the eighth-most rushing yards per game to running backs last year, in addition to giving up the eighth-most receiving yards per game to the position. 

Before making any Week 1 NFL prop bets on Kamara’s Overs, you also have to remember he’s now 30, playing under a first-year head coach and has a young quarterback who’s winless in six career starts. If you are looking for NFL prop bets or NFL parlays for Week 1, SportsLine has you covered with the top Week 1 player props from its Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

Now, with the Week 1 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 1 games.

Week 1 NFL props for Sunday’s main slate

After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bengals WR Tee Higgins goes Under 63.5 receiving yards (-114) versus the Browns in a 1 p.m. ET kickoff. Excluding a 2022 game in which he played just one snap, Higgins has been held under 60 receiving yards in three of his last four meetings with Cleveland. 

Entering his sixth NFL season, Higgins has never had more than 58 yards in any Week 1 game, including going catchless on eight targets versus the Browns in Week 1 of 2023. The SportsLine Machine Learning Model projects 44.4 yards for Higgins in a 5-star pick. See more Week 1 NFL props here.

Week 1 NFL props for Bills vs. Ravens on Sunday Night Football

After analyzing Ravens vs. Bills props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Ravens QB Lamar Jackson goes Over 233.5 passing yards (-114). The last time Jackson took the field was against Buffalo in last season’s playoffs, and the two-time MVP had 254 passing yards and a pair of touchdowns through the air. The SportsLine Machine Learning Model projects Jackson to blow past his total with 280.2 yards on average in a 4.5-star prop pick. See more NFL props for Ravens vs. Bills here

You can make NFL prop bets on Jackson and others with the Underdog Fantasy promo code CBSSPORTS2. Bet at Underdog Fantasy and get $50 in bonus bets after making a $5 bet:

Week 1 NFL props for Bears vs. Vikings on Monday Night Football

After analyzing Vikings vs. Bears props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bears QB Caleb Williams goes Under 218.5 passing yards (-114). Primetime games like what he’ll see on Sunday night weren’t too favorable to Williams as a rookie. He lost all three he played in, had one total passing score across them, was sacked an average of 5.3 times and, most relevant to this NFL prop, Williams failed to reach even 200 passing yards in any of the three. The SportsLine Machine Learning Model forecasts him to finish with just 174.8 passing yards, making Under 218.5 a 4.5-star NFL prop. See more NFL props for Vikings vs. Bears here

You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:

How to make Week 1 NFL prop picks

SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 1 NFL prop bets.

Which NFL prop picks should you target for Week 1, and which star player has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.





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