A long-standing cultural cruise and a new expedition-style offering will soon operate side by side in French Polynesia.
3 min
From late 2026 and into 2027, PONANT Explorations Group will base two ships in French Polynesia, offering travellers a choice between a culturally immersive classic and a far more exploratory deep-Pacific experience.
The move builds on more than 25 years of operating in the region with the iconic m/s Paul Gauguin, while introducing the expedition-focused Le Jacques Cartier to venture into lesser-known waters.
Together, the two vessels will cover all five Polynesian archipelagos — the Society, Tuamotu, Austral, Gambier and Marquesas Islands — as well as the remote Pitcairn Islands.
Long regarded as the benchmark for cruising in French Polynesia, m/s Paul Gauguin will remain based year-round in the region.
Renovated in 2025, the ship continues to focus on relaxed, culturally rich journeys with extended port stays designed to allow guests to experience daily life across the islands.
A defining feature of the onboard experience is the presence of the Gauguins and Gauguines — Polynesian hosts who share local traditions through music, dance and hands-on workshops, including weaving and craft demonstrations.
The atmosphere is deliberately intimate and internationally minded, catering to travellers seeking depth rather than distance.
Across the 2026–27 seasons, the ship will operate 66 departures, primarily across the Society Islands, Tuamotu and Marquesas, with select voyages extending to Fiji, Tonga and the Cook Islands.
Le Jacques Cartier introduces a more adventurous dimension to PONANT’s Polynesian offering, with itineraries focused on the least visited corners of the South Pacific.
The ship will debut three new “Discovery” itineraries, each 14 nights in length, which can also be combined into a single, extended 42-night voyage — the most comprehensive Polynesian itinerary currently available.
In total, the combined journey spans six archipelagos, 23 islands and the Pitcairn Islands, a British Overseas Territory rarely included on cruise itineraries.
Unlike the Paul Gauguin’s cultural focus, Le Jacques Cartier centres on exploration.
Each day includes one guided activity led by local experts, with excursions conducted via tenders, local boats and zodiacs. Scuba diving is available on board, supported by a resident instructor.
Across the 2026–27 period, the ship will operate nine departures, offering a deliberately limited and low-impact presence in some of the Pacific’s most isolated communities.
The new itineraries aboard Le Jacques Cartier include:
– Secret Polynesia: Unexplored Tuamotu, the Gambier Islands and the Austral Islands
– From Confidential French Polynesia to Pitcairn Island
– Polynesian Bliss: Marquesas and Tuamotu
Each voyage departs from Papeete, with prices starting from $15,840 per person.
In preparation for the new itineraries, PONANT Explorations Group undertook extensive scouting across the Austral and Tuamotu Islands to develop activities in collaboration with local communities.
José Sarica, the group’s R&D Expedition Experience Director, worked directly with residents to design experiences including welcome ceremonies, cultural workshops and visits to marae, the region’s sacred open-air temples.
Six new ports of call have been confirmed as part of this process, spanning both the Tuamotu and Austral archipelagos.
New stopovers include:
– Mataiva, known for its rare mosaic lagoon
– Hikueru, home to one of the largest lagoons in the Tuamotus
– Makemo, noted for its red-footed boobies and frigatebirds
– Raivavae, famed for its crystal-clear lagoon pools
– Tubuai, rich in marae and spiritual heritage
– Rurutu, known for limestone caves and seasonal humpback whale sightings
By pairing its long-established cultural voyages with expedition-led exploration, PONANT Explorations Group is positioning French Polynesia not as a single experience, but as two distinct journeys — one grounded in tradition and comfort, the other pushing into the furthest reaches of the Pacific.
For travellers seeking either immersion or discovery, the South Pacific is about to feel both familiar and entirely new.
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Could fears of an AI apocalypse be distracting us from the dangers already here? Experts debate whether regulation should focus on speculative existential threats or present-day harms, including cyberattacks, weapons and unsafe autonomous agents. Read more via the link in bio.
5 min
There is ample and alarming evidence that artificial intelligence can help humans do bad things, such as committing cyberattacks, building weapons and even killing themselves or others. The Hugging Face hacking episode—and a growing list of others by poorly constrained swarms of agents—indicate just how powerful and potentially dangerous AI has quickly become.
Yet many inside the U.S. AI industry insist far worse is coming, on account of the imminent arrival of AI with superhuman and self-improving abilities.
Plenty of experts, including many who study AI harms for a living, are skeptical. The so-called doomers’ assertion that AI might decide to wipe out all of humanity—or even “just” topple human civilization—is contingent on it achieving a pace of development not yet seen.
And if the assumptions behind this global-doomsday scenario are wrong, it could lead us to curb or regulate AI in ways that don’t address its real harms.
At the center of this debate is the claim that current AI systems might take over the job of training their next versions, a process called “recursive self-improvement.” Think of it like evolution on steroids—billions of years happening at light speed within vast AI supercomputers. Anthropic Chief Executive Dario Amodei recently proposed a global agreement to slow down the pace of releasing new AI models, with the goal of delaying the arrival of recursive self-improvement.
“I don’t think we’re anywhere near ‘artificial general intelligence,’” says Melanie Mitchell, a professor at the nonprofit research group Santa Fe Institute who studies AI. She said AI is making impressive strides but thinks claims by engineers that they’ve achieved recursive self-improvement don’t stand up to scrutiny.
She is hardly alone. A recent paper by two dozen academics at Princeton, Stanford and other institutions found that even the most cutting-edge AIs are incapable of doing the original research required to advance the AI frontier.
Two of the authors involved in that paper also threw cold water on the idea that the Hugging Face swarm hack by OpenAI agents occurred because of a breakthrough in intelligence. The attack succeeded primarily because of a lack of basic technical guardrails, not an unmanageable explosion in AI capability, they wrote.
Yann LeCun, former chief AI scientist at Meta, posted that this analysis was “a welcome dose of sanity in an otherwise insane debate.”
OpenAI and Anthropic didn’t respond to several requests for comment.
The people who disagree with the doomers still consider AI to be dangerous, and point out that such systems don’t have to be particularly capable to be powerful. Some argue that AI should undergo regular evaluation by outsiders and that the companies that make it should be held responsible when their systems do harm. AI should also be treated the same as airplanes and elevators, and should be designed to do the least harm possible, they say.
“If you believe that technology is powerful enough to create novel, dangerous viruses, or to essentially take over the whole planet for some reason, then it must also be strong enough to create cures for cancer, to cure aging, to fix socio-economic or political problems,” says Christopher Canal, CEO of EquiStamp, a company that helps companies and governments evaluate AIs.
AI has shown an ability to rapidly advance because it is matching the abilities of humans who are constantly feeding it their knowledge. Sometimes it can recombine that knowledge and exceed what people have been capable of, through a kind of post-training known as reinforcement learning, as we’ve seen in mathematics.
Today’s LLMs are “models of knowledge” rather than actually intelligent, wrote Yi Ma, professor of AI at Hong Kong University.
Researchers at universities and commercial AI research labs in China wrote in a recent paper that autonomous, self-improving AI is likely to be a long way off, due to the sheer number of breakthroughs required. They also argue that humans will probably remain in the loop, supervising that process—and gating how fast it can occur.
Vals AI, a company that evaluates today’s AI models, maintains an RSI Index that benchmarks whether models can “do the research that builds the next model.” So far, no publicly released model is even close.
Yet Rayan Krishnan, CEO of Vals AI, says his team projects models will exceed humans’ ability to improve the next generation of AIs by August 2027, or sooner, and at that point could start building their successors all on their own.
“Once we get to recursive self-improvement, the fear is that all bets are off,” he says. “You could end up with a ‘fast takeoff’ situation, where the models quickly acquire skills and eclipse humans across every possible domain.”
In a reply to the resignation tweet heard round the world from Jacob Coxon, another Anthropic engineer declared his belief that those odds were at least 10% over the next decade. Many others in the industry chimed in to say they thought the percentage was even higher.
Some who argue the end is nigh say they calculate their personal p(doom) based on a chain of conditional probabilities—a bit like the Drake equation for calculating the likelihood of intelligent alien life. Since all those probabilities are based on speculation, estimates range from 0% to nearly 100%. Many land around 10%.
“The weird thing is that if you go back and look at the predictions on this over the last 10 years or more, it’s always been 10%—it’s just a nice round number,” says Mitchell. “I think it’s all vibes, and there’s no actual evidence or calculation.”
One argument against worrying about superintelligent AI is that the world is full of unlikely humanity-ending disasters, and trying to avert them all can make it impossible to prioritize, says Canal.
This has led AI experts and the policymakers who listen to them to propose remedies that don’t get at its real and present dangers.
AI companies’ proposals to “pace the frontier” aren’t addressing the problem in the right way, argues Stuart Russell, a computer-science professor at the University of California, Berkeley, and the president of the International Association for Safe and Ethical Artificial Intelligence.
“It’s like saying we’re driving toward the cliff at 60 miles per hour and we’re going to drive toward it at 40 miles per hour instead, and everything will be OK,” he says.
Russell and his peers have proposed that AI companies should have to meet the same standards that govern other areas of everyday life, from air travel and buildings to food and drugs. They highlight the “behavioral red lines” AI should not be allowed to cross. Breaking into other computer systems, stealing information or advising terrorists on how to build biological weapons are all illegal for a human to do, and should be illegal for companies’ AIs as well, he argues.
The challenge for AI companies in such a proposal, he adds, is that it would be a de facto ban on today’s advanced AI systems, since the companies behind them don’t know how to make them respect such boundaries all of the time.
Others have proposed something like the Food and Drug Administration, but for AI, but setting up a new agency has so far been a nonstarter in Congress. And some prominent voices in tech have said such a structure would give up America’s AI edge to China.
Given the bipartisan groundswell of support for curbing AI companies and their creations, however, that may soon change.
“The tech industry has had this mantra for decades that regulation is bad,” says Russell. “They don’t accept the liability for any harm, and they hide behind free speech. That, I think, has to change.”
