Solving – Coin Network News https://coinnetworknews.com If it's coin, it's news. Sat, 22 Jul 2023 12:39:25 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.3 Your Precoiner Friends Might Not Understand The Problems That Bitcoin Is Solving https://coinnetworknews.com/your-precoiner-friends-might-not-understand-the-problems-that-bitcoin-is-solving/ https://coinnetworknews.com/your-precoiner-friends-might-not-understand-the-problems-that-bitcoin-is-solving/#respond Sat, 22 Jul 2023 12:39:25 +0000 https://coinnetworknews.com/your-precoiner-friends-might-not-understand-the-problems-that-bitcoin-is-solving/

This is an opinion editorial by Mickey Koss, a West Point graduate with a degree in economics. He spent four years in the infantry before transitioning to the Finance Corps.

It may seem counterintuitive, but in my last four years serving for the U.S. Army, I’ve essentially been a customer service specialist, whether it’s addressing pay issues in the military pay office as a commander, or addressing travel or budget questions as a comptroller in an operational unit.

Of late, I’ve found myself asking more questions of the customers than they’ve been asking of me. I’ve come to realize that many people don’t really understand the problems they are experiencing. And, because of this conundrum, the questions they ask me when seeking assistance may not yield an answer that actually solves those problems. I’ve come to realize that a large part of my job has become uncovering the actual problems, so that I can fix them at their roots.

Therein lies a common thread I’ve found with “orange pilling” and teaching people about Bitcoin. Much like the soldier who approaches me, asking a question that doesn’t quite make sense, your friends and family may be asking you strange questions as well — without a real understanding of what problems Bitcoin is trying to solve.

As stewards of the Bitcoin space and de facto ambassadors to our circles of acquaintance, I see the Bitcoiners’ role as similar to that of a customer service professional. People don’t understand the monetary system, let alone the problems they face within. (Insert the potentially-overused analogy about asking a fish about water here.)

Instead of answering questions blindly and taking them at face value, I challenge you to dig a little deeper next time. Help your curious friend understand what they are asking. Help them uncover the issues they didn’t know they cared about. Help them ask the right questions. Otherwise, they may never get their problems solved.

This is a guest post by Mickey Koss. Opinions expressed are entirely their own and do not necessarily reflect those of BTC Inc or Bitcoin Magazine.

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]]> https://coinnetworknews.com/your-precoiner-friends-might-not-understand-the-problems-that-bitcoin-is-solving/feed/ 0 Tim Cook says Apple will weave AI into products as researchers work on solving bias https://coinnetworknews.com/tim-cook-says-apple-will-weave-ai-into-products-as-researchers-work-on-solving-bias/ https://coinnetworknews.com/tim-cook-says-apple-will-weave-ai-into-products-as-researchers-work-on-solving-bias/#respond Sat, 06 May 2023 03:19:08 +0000 https://coinnetworknews.com/tim-cook-says-apple-will-weave-ai-into-products-as-researchers-work-on-solving-bias/

CEO Tim Cook gave a rare, if guarded, glimpse into Apple’s walled garden during the Q&A portion of a recent earnings call when asked his thoughts on generative artificial intelligence (AI) and where he “sees it going.” 

Cook refrained from revealing Apple’s plans, stating upfront, “We don’t comment on product roadmaps.” However, he did intimate that the company was interested in the space:

“I do think it’s very important to be deliberate and thoughtful in how you approach these things. And there’s a number of issues that need to be sorted. … But the potential is certainly very interesting.”

The CEO later added the company views “AI as huge” and would “continue weaving it in our products on a very thoughtful basis.”

Cook’s comments on taking a “deliberate and thoughtful” approach could explain the company’s absence in the generative AI space. However, there are some indications that Apple is conducting its own research into related models.

A research paper scheduled to be published at the Interaction Design and Children conference this June details a novel system for combating bias in the development of machine learning datasets.

Bias — the tendency for an AI model to make unfair or inaccurate predictions based on incorrect or incomplete data — is oft-cited as one of the most pressing concerns for the safe and ethical development of generative AI models.

The paper, which can currently be read in preprint, details a system by which multiple users would contribute to developing an AI system’s dataset with equal input.

Status quo generative AI development doesn’t add in human feedback until later stages, when models have typically already gained training bias.

The new Apple research integrates human feedback at the very early stages of model development in order to essentially democratize the data selection process. The result, according to the researchers, is a system that employs a “hands-on, collaborative approach to introducing strategies for creating balanced datasets.”

Related: AI’s black box problem: Challenges and solutions for a transparent future

It bears mention that this research study was designed as an educational paradigm to encourage novice interest in machine learning development.

It could prove difficult to scale the techniques described in the paper for use in training large language models (LLMs) such as ChatGPT and Google Bard. However, the research demonstrates an alternative approach to combating bias.

Ultimately, the creation of an LLM without unwanted bias could represent a landmark moment on the path to developing human-level AI systems.

Such systems stand to disrupt every aspect of the technology sector, especially the worlds of fintech, cryptocurrency trading and blockchain. Unbiased stock and crypto trading bots capable of human-level reasoning, for example, could shake up the global financial market by democratizing high-level trading knowledge.

Furthermore, demonstrating an unbiased LLM could go a long way toward satisfying government safety and ethical concerns for the generative AI industry.

This is especially noteworthy for Apple, as any generative AI product it develops or chooses to support would stand to benefit from the iPhone’s integrated AI chipset and its 1.5 billion user footprint.