Top 7 Small Bluetooth Speakers (in 2021)

 Here are the Top 7 small bluetooth speakers (most popular):

1. 1. JBL Clip 3: Compact and portable with a built-in carabiner for easy attachment to bags or belts.
2. 2. Bose SoundLink Micro: Small and rugged design with impressive sound quality and IPX7 waterproof rating.
3. 3. Ultimate Ears WONDERBOOM 2: Compact and durable with 360-degree sound and IP67 waterproof rating.
4. 4. Anker Soundcore 2: Portable and affordable with good sound performance and long battery life.
5. 5. Sony SRS-XB12: Small and lightweight with Extra Bass technology and water-resistant design.
6. 6. Tribit StormBox Micro: Pocket-sized with powerful sound and IP67 waterproof and dustproof rating.
7. 7. Bang & Olufsen Beoplay P2: Sleek and stylish with premium sound quality and touch-sensitive controls.

This list is according to ChatGPT.

IPX7 is rated for 1 meter under water for 30 minutes (no rating for dust)

IP67 is rated for 1 meter under water for 30 minutes with a stated dustproof rating of 6.

Artificial Intelligence Timeline

Prompt: Provide an outline of a reasonable timeline for the evolution of artificial intelligence. describe the concept of a singularity in this context and the implications for the timeline. Give some attention to the notion of acceleration of progress. (ChatGPT Response)

Timeline for the Evolution of Artificial Intelligence:

1. Early AI Research (1940s - 1960s):

   - Development of foundational concepts in AI, such as logic, learning, and problem-solving.

   - Limited progress due to computational constraints and lack of data.

2. Expert Systems and Knowledge-Based AI (1970s - 1980s):

   - Advancements in expert systems that used rules and knowledge to solve specific problems.

   - Knowledge representation and reasoning techniques improved.

3. Machine Learning and Neural Networks (1990s - 2000s):

   - Emergence of machine learning algorithms and neural networks.

   - Increased use of data-driven approaches and pattern recognition.

4. Big Data and Deep Learning (2010s - Present):

   - Proliferation of big data and cloud computing enabling more extensive datasets.

   - Deep learning's rise, leading to breakthroughs in image recognition, natural language processing, and other AI applications.

5. Robotics and AI Integration (2020s - 2030s):

   - AI integrated into various fields, including robotics, autonomous vehicles, and smart cities.

   - AI-driven automation transforms industries.

6. General Artificial Intelligence (2040s - 2050s):

   - Progress towards achieving general AI capable of reasoning and understanding context.

   - Ethical considerations become critical as AI approaches human-level intelligence.

7. Post-Singularity AI (2060s - Beyond):

   - The concept of the singularity becomes relevant as AI potentially surpasses human intelligence.

   - Acceleration of AI development may occur, leading to rapid and unpredictable advancements.

The Concept of Singularity:

The singularity, in the context of AI, refers to a hypothetical future point when artificial intelligence becomes capable of recursively self-improving its own capabilities without human intervention. At this stage, AI systems might surpass human intelligence, leading to significant technological and societal transformations that are challenging to predict. Some theorists suggest that the singularity could lead to an exponential acceleration of AI development, resulting in what is often referred to as "superintelligence" - an intelligence far beyond human comprehension.

Implications for the Timeline:

The concept of a singularity introduces a significant uncertainty in the timeline for AI evolution. If the singularity occurs, AI development might accelerate rapidly, making predictions beyond that point challenging. The timeline outlined above is speculative and could be drastically impacted by the advent of the singularity. It's essential to consider that the timing and consequences of the singularity remain speculative and highly debated within the scientific community.

Acceleration of Progress:

The notion of acceleration of progress in AI refers to the idea that as AI systems become more advanced, they can contribute to faster developments in various fields. For example, AI can enhance scientific research, improve the efficiency of engineering processes, and revolutionize industries. This acceleration can create a positive feedback loop where AI-driven advancements lead to even more significant breakthroughs, further expediting the development of AI itself. This feedback loop could contribute to reaching key milestones, such as general AI, more rapidly than initially anticipated.

It's crucial to note that while the timeline and the concept of singularity and acceleration provide insights into potential future developments, they are speculative and subject to numerous variables, including ethical considerations, regulatory frameworks, and societal readiness for advanced AI technologies. The responsible development and deployment of AI technologies must prioritize safety, ethics, and human well-being.

Top Five Principles for Controlling AI

Top five principles for controlling artificial intelligence from harming human society:

1. Transparency: AI systems should be designed to be transparent and understandable to humans. Developers should provide clear explanations of how the system works, what data it uses, and how it makes decisions. This will help to build trust and reduce the risk of unintended consequences.
2. Accountability: There should be clear lines of accountability for the development and deployment of AI systems. This includes ensuring that developers and users are held responsible for any negative impacts of the technology.
3. Fairness and non-discrimination: AI systems should be designed to be fair and non-discriminatory, and should not perpetuate or amplify existing biases. Developers should test their systems for biases and take steps to address any issues that are identified.
4. Safety and reliability: AI systems should be designed to be safe and reliable, and should be tested thoroughly to ensure that they do not pose a risk to human health or safety. Developers should also have plans in place for responding to any unforeseen problems or emergencies that may arise.
5. Human control: AI systems should be designed to operate under human control, and should not be allowed to make decisions or take actions that are outside of their programmed parameters. Humans should always have the final say in any decisions made by AI systems, and should be able to override them if necessary.

 

UN Commission of Inquiry on the Gaza Conflict

Gaza Commission of Inquiry Members

On July 23, 2014 the United Nations Human Rights Council (UN HCR) requested the UN High Commissioner for Human Rights to

.. to urgently dispatch an independent, international commission of inquiry ... to investigate all violations of international humanitarian law and international human rights law in the Occupied Palestinian Territory, including East Jerusalem, particularly in the occupied Gaza Strip, in the context of the military operations conducted since 13 June 2014... [1]

The mission of the Commission of Inquiry is to

... make recommendations, in particular on accountability measures, all with a view to avoiding and ending impunity and ensuring that those responsible are held accountable, and on ways and means to protect civilians against any further assaults, ... [2]

Current Commissioners:

• Mary McGowan Davis (United States of America), Chair
• Doudou Diène (Senegal)

A third commissioner, original Chair William Schabas of Canada, resigned in February 2015.

Notes:

1. Office of the High Commissioner on Human Rights, The United Nations Independent Commission of Inquiry on the 2014 Gaza Conflict

2. Report of the independent international commission of inquiry established pursuant to Human Rights Council resolution S - 21/1, March 26, 2015.

Should be Candidate for 2015 Photo Award

This is a little girl in Gaza taking a nap in a bucket of water trying to beat the heat. Electricity is unavailable due to the destruction of local power sources by Israel.

Why So Much Attention on Spending Side of Greek Budget?

There are two economic elements at play in understanding the situation in Greece.  One is the government budget or fiscal element.  The other is the balance of trade element.

You could say that currency, e.g., the euro, dollar, pound, is a third element. Economist Paul Krugman* refers to the euro currency as a "straight jacket" on Greece's economy for the following reasoning related to their balance of trade. A country with its own currency, say the Drachma for Greece, can increase its trade exports if the value of its currency decreases; in this situation, its goods look cheaper to other countries that have higher valued currencies. However, if Greece has the euro as its currency, which cannot adjust downward in an economic crisis, it's economy doesn't have a key tool to right itself when in trouble. Krugman says this is the key problem in Greece right now.

The other economic element is the Greek budget itself. Yet the media has been focused on more austere budgets in Greece, that is, cutting spending. This myopic focus is due to two things. First, budgets shortfalls are open to a simplistic explanation by the establishment media: If your budget is short, then cut spending. But this overlooks he simple fact that budgets have two sides, a revenue side and a spending side; a growing economy can add revenue to a budget. The excessive focus on cutting spending overlooks the fact that budget austerity itself can cause an economy to shrink and reduce the available revenue for the budget.

The second reason for so much focus on the budget-cutting aspect of the Greek situation is that the establishment lenders have pushed an agenda of budget austerity. Krugman believes that the three main lenders understand this could hurt the Greek economy, but that they have an ulterior motive related to their free market ideology; they would like the see a leftist government like Syriza, and its alternative economic views, fail.

With this introduction, read more by Krugman on Greece and these issues (June 29, 2015).

Here's a chilling question posed by Krugman:  What if #Greece exits the Euro currency, has a bad year or two, then starts to succeed? Think the establishment would let it succeed? http://nyti.ms/1epXoag

*  Paul Krugman is the 2008 winner of the Nobel Prize in Economics.

Bernie Sanders, Ten-Thousand Strong in Maddison

Speaking truth to power is a challenge to the establishment. That is what you get with Vermont Senator Bernie Sanders, 2016 presidential candidate.

He's not a pretty-boy candidate. Bernie Sanders is a candidate of by and for the common people. The Hill reports:

Democrats close to Clinton aren’t sounding the alarm over Sanders just yet. They believe he has a low ceiling of support that doesn’t extend beyond the anti-establishment contingent.

That could be wishful thinking. Sanders just packed a stadium in Madison, Wisconsin with 10,000 people. That's impressive this early in the campaign season. This event gained the attention of CNN,  NBC News, Washington Post, to name a few establishment news media outlets that felt they couldn't ignore the event.

We'll keep an eye on this candidate who challenges the establishment.

 Bernie Sanders in Madision, WI 7/1/15