USA Today says this beach bar is top 3 in the US. And it's just 1 hour from Savannah
Looking for the best beach bar experience near Savannah? Well, you won't have to go far.
USA Today has released its Readers' Choice Awards 2025 for the 10 best beach bars in the country, and one standout just a short drive away has made an appearance.
This bar, located at the Beach House resort on Hilton Head Island, South Carolina, has been ranked the No. 3 beach bar in the entire U.S.
According to USA Today, the best beach bar just 40 miles from Savannah, is Tiki Hut. Besides its prime oceanfront location, it's the only live-music venue directly on the beach.
Open daily from 10 a.m. to 10 p.m., Tiki Hut offers everything from laid-back beach vibes to lively evenings with dancing, food, drinks, and unforgettable views.
For more about this bar, visit tikihuthhi.com/hilton-head-bars.
Ocean Deck Restaurant and Beach Bar (Daytona Beach, Florida)
Flora-Bama (Pensacola, Florida)
Tiki Hut at Beach House (Hilton Head Island, South Carolina)
Reunion Kitchen + Drink (Santa Barbara, California)
Copper Bar at Mauna Kea Beach Hotel (Waimea, Hawaii)
Mai Tai Bar at The Royal Hawaiian (Honolulu, Hawaii)
Sloppy Joe's on the Beach at Bilmar Beach Resort (Treasure Island, Florida)
The Crow's Nest (Santa Cruz, California)
House Without A Key at Halekulani Hotel (Honolulu, Hawaii)
Edge of Waikiki at Sheraton Waikiki Beach Resort (Honolulu, Hawaii)
Vanessa Countryman is the Trending Topics Reporter for the Deep South Connect Team Georgia. Email her at Vcountryman@gannett.com.
This article originally appeared on Savannah Morning News: Best beach near Savannah. USA Today names this one Top 3 in America
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We are living in 2025 and somehow are supposed to arrive at AGI by the year 2040. That's essentially 15 years of elapsed time. In the particular case of the linear path, the key assumption is that AI is advancing in a stepwise fashion each year. There aren't any sudden breakthroughs or miracles that perchance arise. It is steady work and requires earnestly keeping our nose to the grind and getting the job done in those fifteen years ahead. The idea is to map out the next fifteen years and speculate what will happen with AI in each respective year. This can be done in a forward-looking mode and also a backward-looking mode. The forward-looking entails thinking about the progress of AI on a year-by-year basis, starting now and culminating in arriving at AGI in 2040. The backward-looking mode involves starting with 2040 as the deadline for AGI and then working back from that achievement on a year-by-year basis to arrive at the year 2025 (matching AI presently). This combination of forward and backward envisioning is a typical hallmark of futurecasting. Is this kind of a forecast of the future ironclad? Nope. If anyone could precisely lay out the next fifteen years of what will happen in AI, they probably would be as clairvoyant as Warren Buffett when it comes to predicting the stock market. Such a person could easily be awarded a Nobel Prize and ought to be one of the richest people ever. All in all, this strawman that I show here is primarily meant to get the juices flowing on how we can be future forecasting the state of AI. It is a conjecture. It is speculative. But at least it has a reasonable basis and is not entirely arbitrary or totally artificial. I went ahead and used the fifteen years of reaching AGI in 2040 as an illustrative example. It could be that 2050 is the date for AGI instead, and thus this journey will play out over 25 years. The timeline and mapping would then have 25 years to deal with rather than fifteen. If 2030 is going to be the AGI arrival year, the pathway would need to be markedly compressed. I opted to identify AI technological advancements for each of the years and added some brief thoughts on the societal implications too. Here's why. AI ethics and AI law are bound to become increasingly vital and will to some degree foster AI advances and in other ways possibly dampen some AI advances, see my in-depth coverage of such tensions at the link here. Here then is a strawman futures forecast year-by-year roadmap from 2025 to 2040 of a linear path getting us to AGI: Year 2025: AI multi-modal models finally become robust and fully integrated into LLMs. Significant improvements in AI real-time reasoning, sensorimotor integration, and grounded language understanding occur. The use of AI in professional domains such as law, medicine, and the like rachet up. Regulatory frameworks remain sporadic and generally unadopted. Year 2026: Agentic AI starts to blossom and become practical and widespread. AI systems with memory and planning capabilities achieve competence in open-ended tasks in simulation environments. Public interest in governing AI increases. Year 2027: The use of AI large-scale world models spurs substantially improved AI capabilities. AI can now computationally improve from fewer examples via advancements in AI meta-learning. Some of these advances allow AI to be employed in white-collar jobs that have a mild displacement economically, but only to a minor degree. Year 2028: AI agents have gained wide acceptance and are capable of executing multi-step tasks semi-autonomously in digital and physical domains, including robotics. AI becomes a key element as taught in schools and as used in education, co-teaching jointly with human teachers. Year 2029: AI is advanced sufficiently to have a generalized understanding of physical causality and real-world constraints through embodied learning. Concerns about AI as a job displacer reach heightened attention. Year 2030: Self-improving AI systems begin modifying their own code under controlled conditions, improving efficiency without human input. This is an important underpinning. Some claim that AGI is now just a year or two away, but this is premature, and ten more years will first take place. Year 2031: Hybrid AI consisting of integrated cognitive architectures unifying symbolic reasoning, neural networks, and probabilistic models has become the new accepted approach to AI. Infighting among AI developers as to whether hybrid AI was the way to go has now evaporated. AI-based tutors fully surpass human teachers in personalization and subject mastery, putting human teachers at great job risk. Year 2032: AI agents achieve human-level performance across most cognitive benchmarks, including abstraction, theory of mind (ToM), and cross-domain learning. This immensely exceeds prior versions of AI that did well on those metrics but not nearly to this degree. Industries begin to radically restructure and rethink their businesses with an AI-first mindset. Year 2033: AI scalability alignment protocols improve in terms of human-AI values alignment. This opens the door to faster adoption of AI due to a belief that AI safety is getting stronger. Trust in AI grows. But so is societal dependence on AI. Year 2034: AI interaction appears to be indistinguishable from human-to-human interaction, even as tested by those who are versed in tricking AI into revealing itself. The role of non-human intelligence and how AI stretches our understanding of philosophy, religion, and human psychology has become a high priority. Year 2035: AI systems exhibit bona fide signs of self-reflection, not just routinized mimicry or parroting. Advances occur in having AI computationally learn from failure across domains and optimizing for long-term utility functions. Debates over some form of UBI (universal basic income) lead to various trials of the approach to aid human labor displacements due to AI. Year 2036: AI advancement has led to fluid generalization across a wide swath of domains. Heated arguments take place about whether AGI is emerging, some say it is, and others insist that a scaling wall is about to be hit and that this is the best that AI will be. Nations begin to covet their AI and set up barriers to prevent other nations from stealing or copying the early AGI systems. Year 2037: Advances in AI showcase human-like situational adaptability and innovation. New inventions and scientific discoveries are being led by AI. Questions arise about whether this pre-AGI has sufficient moral reasoning and human goal alignment. Year 2038: AI systems now embody persistent identities, seemingly able to reflect on experiences across time. Experts believe we are on the cusp of AI reaching cognitive coherence akin to humans. Worldwide discourse on the legal personhood and rights of AI intensifies. Year 2039: Some of the last barriers to acceptance of AI as nearing AGI are overcome when AI demonstrates creativity, emotional nuance, and abstract reasoning in diverse contexts. This was one of the last straws on the camel's back. Existential risks and utopian visions fully dominate public apprehensions. Year 2040: General agreement occurs that AGI has now been attained, though it is still early days of AGI and some are not yet convinced that AGI is truly achieved. Society enters a transitional phase: post-scarcity economics, redefinition of human purpose, and consideration of co-evolution with AGI. Mull over the strawman timeline and consider where you will be and what you will be doing during each of those fifteen years. One viewpoint is that we are all along for the ride and there isn't much that anyone can individually do. I don't agree with that sentiment. Any of us can make a difference in how AI plays out and what the trajectory and impact of reaching AGI is going to be. As per the famous words of Abraham Lincoln: 'The most reliable way to predict the future is to create it.'