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Local LLMs and Quantum Computing

October 23, 2024 • 5 min read

While today's powerful AI large language models require vast data centers for operation, rapid advancements in model optimization and the potential of quantum computing are changing the landscape. These innovations could lead to a future where powerful, personalized AI systems are accessible and able to run directly on our own devices. This could lead to significant implications for society, the job market, and increased ethical considerations.

AI and Human Rights: Finding a Balance

June 14, 2024 • 5+ min read

With the highs and lows of artificial intelligence (AI) capabilities that are happening daily, I'm fascinated by the potential AI holds. Not only within the bounds of what some view as stochastic parrots, but also with the potential to advance humankind. Massive volumes of data may be processed by AI systems to uncover insights that can be used to address global issues like hunger, sickness, education disparities, and climate change. Is it being used for all of that? Probably not, but it could be.

Understanding AI Bias

June 7, 2024 • 4+ min read

As artificial intelligence (AI) systems grow increasingly common in decision-making processes that affect people's lives, we must understand the various sorts of bias that might arise in machine learning models. AI, like humans, can exhibit biases; however, AI bias is embedded mathematically in training data and model design rather than through cognitive biases and heuristics.

The Role of AI in Mental Health

May 31, 2024 • 6+ min read

As someone living with ADHD, anxiety, and depression, I have a personal appreciation for the potential role artificial intelligence (AI) could play in supporting mental health care. However, because of my interactions with AI language models such as Claude, Gemini, and ChatGPT, I approach the subject cautiously. Even while these are great technological achievements, it's important to keep in mind that they are artificial intelligence systems that have been trained on large datasets; they don't possess the same level of subject-matter expertise as a human expert might.

The Transformative Power of Generative AI

May 24, 2024 • 4+ min read

Since the 1950s researchers have been chasing the dream of Artificial Intelligence (AI). Though the concept had been around for thousands of years, its earliest form was that of "automatons" or objects that were relatively self-operating.

The Quantum Leap: Transforming AI with Quantum Computing

May 17, 2024 • 4 min read

Artificial intelligence (AI) has quickly become the basis for many new software packages, products, and as some have stated, a "cornerstone" of modern technology. It's impact on transforming industries has been swift and those industries range from healthcare to banking.

Quantum Computing: Unveiling the Future of Computing

May 10, 2024 • 5 min read

You've probably heard about quantum computers and how they will be super powerful and change everything. But what are quantum computers? And what can they really do better than today's "normal" computers? Let's break it down in a way that's easy to understand.

The Rise of Emergent Intelligence

April 26, 2024 • 3 min read

For decades, the pursuit of artificial intelligence followed a rules-based approach. Systems were methodically programmed using precisely calibrated logic and knowledge bases defined by human professionals. While this traditional method produced early triumphs in restricted fields such as games and process optimization, it eventually proved restrictive. Artificial intelligence remained an enormously hard challenge, appearing impenetrable through the simple coding of rules and logic.

AI Transforming Healthcare

April 19, 2024 • 3+ min read

The integration of artificial intelligence (AI) into our medical systems promises to bring about revolutionary advancements in healthcare. To some, this means an exciting crossroads where AI has the ability to improve patient outcomes and create new roles in the healthcare industry. To others, it raises concerns over their value in current roles and the possibility of being replaced by these advancements in technology.