Over the course of 2025, deepfakes improved dramatically. AI-generated faces, voices and full-body performances that mimic real people increased in quality far beyond what even many experts expected would be the case just a few years ago. They were also increasingly used to deceive people.
For many everyday scenarios — especially low-resolution video calls and media shared on social media platforms — their realism is now high enough to reliably fool nonexpert viewers. In practical terms, synthetic media have become indistinguishable from authentic recordings for ordinary people and, in some cases, even for institutions.
And this surge is not limited to quality. The volume of deepfakes has grown explosively: Cybersecurity firm DeepStrike estimates an increase from roughly 500,000 online deepfakes in 2023 to about 8 million in 2025, with annual growth nearing 900%.
I’m a computer scientist who researches deepfakes and other synthetic media. From my vantage point, I see that the situation is likely to get worse in 2026 as deepfakes become synthetic performers capable of reacting to people in real time.
Just about anyone can now make a deepfake video.
Dramatic improvements
Several technical shifts underlie this dramatic escalation. First, video realism made a significant leap thanks to video generation models designed specifically to maintain temporal consistency. These models produce videos that have coherent motion, consistent identities of the people portrayed, and content that makes sense from one frame to the next. The models disentangle the information related to representing a person’s identity from the information about motion so that the same motion can be mapped to different identities, or the same identity can have multiple types of motions.
These models produce stable, coherent faces without the flicker, warping, or structural distortions around the eyes and jawline that once served as reliable forensic evidence of deepfakes.
Second, voice cloning has crossed what I would call the “indistinguishable threshold.” A few seconds of audio now suffice to generate a convincing clone – complete with natural intonation, rhythm, emphasis, emotion, pauses, and breathing noise. This capability is already fueling large-scale fraud. Some major retailers report receiving over 1,000 AI-generated scam calls per day. The perceptual tells that once gave away synthetic voices have largely disappeared.
Third, consumer tools have pushed the technical barrier almost to zero. Upgrades from OpenAI’s Sora 2 and Google’s Veo 3, and a wave of startups mean that anyone can describe an idea, let a large language model such as OpenAI’s ChatGPT or Google’s Gemini draft a script, and generate polished audio-visual media in minutes. AI agents can automate the entire process. The capacity to generate coherent, storyline-driven deepfakes at a large scale has effectively been democratized.
This combination of surging quantity and personas that are nearly indistinguishable from real humans creates serious challenges for detecting deepfakes, especially in a media environment where people’s attention is fragmented and content moves faster than it can be verified. There has already been real-world harm – from misinformation to targeted harassment and financial scams – enabled by deepfakes that spread before people have a chance to realize what’s happening.
AI researcher Hany Farid explains how deepfakes work and how good they’re getting.
The future is real-time
Looking forward, the trajectory for next year is clear: Deepfakes are moving toward real-time synthesis that can produce videos that closely resemble the nuances of a human’s appearance, making it easier for them to evade detection systems. The frontier is shifting from static visual realism to temporal and behavioral coherence: models that generate live or near-live content rather than pre-rendered clips.
Identity modeling is converging into unified systems that capture not just how a person looks, but how they move, sound, and speak across contexts. The result goes beyond “this resembles person X,” to “this behaves like person X over time.” I expect entire video-call participants to be synthesized in real time; interactive AI-driven actors whose faces, voices and mannerisms adapt instantly to a prompt; and scammers deploying responsive avatars rather than fixed videos.
As these capabilities mature, the perceptual gap between synthetic and authentic human media will continue to narrow. The meaningful line of defense will shift away from human judgment. Instead, it will depend on infrastructure-level protections. These include secure provenance, such as media signed cryptographically, and AI content tools that use the Coalition for Content Provenance and Authenticity specifications. It will also depend on multimodal forensic tools such as my lab’s Deepfake-o-Meter.
Simply looking harder at pixels will no longer be adequate.
By agreeing to provide a loan of €90 billion (£79 billion) for the years 2026-2027, EU leaders have set the direction for the future of support for Ukraine.
At stake at the meeting of the European Council on December 18 was not just Kyiv’s ability to continue to defend itself against Russia’s ongoing aggression, but also the credibility of the EU as a player in the future of European security.
The key decision for the EU’s leaders was whether, and how, they would provide financial support for Ukraine over the next two years. Europeans have provided a vital drip-feed of ongoing financial assistance to Kyiv throughout almost four years of war.
But they have also struggled to fill, in its entirety, the hole created by the withdrawal of US support since the return of Donald Trump to the White House in January 2025.
The estimated €136 billion of budget support needed by Ukraine in 2026 and 2027 is a relatively fixed figure regardless of whether any peace initiative comes to fruition. A large part of it – €52 billion in 2026 and €33 billion in 2027 – is for military support.
The EU-agreed loan of €90 billion, “based on EU borrowing on the capital markets backed by the EU budget headroom”, thus covers at least the essential military needs of Ukraine. The loan will either contribute to the ongoing war effort or help create a sufficiently large and credible defence force to deter any future aggression by Russia.
To fund the support the EU wants to provide to Ukraine, the commission developed two proposals. The most widely supported – and ultimately rejected – proposal was to use the Russian assets held by the Belgium-based Euroclear exchange as collateral to for a loan to fund Ukraine’s defence and reconstruction over the next few years.
The agreement on a loan to Ukraine funded from EU borrowing achieves the primary goal of securing at least a modicum of budgetary stability for Kyiv. But it came at the price of EU unity.
An “opt-out clause” had to be provided for Hungary, Slovakia and Czechia. All three countries are governed by deeply Euro-sceptical and Russia-leaning parties.
The deep irony is that by opposing EU support for Ukraine, they expose Ukrainians to a fate similar to that they suffered when the Soviet Union suppressed pro-democracy uprisings in Hungary in 1956 and then Czechoslovakia in 1968.
Over the past year, these efforts have accelerated in response to Trump’s return to the White House. This has shifted the US position to one which is in equal measure more America first and more pro-Russia than under any previous US administration.
And the pressure on Kyiv and Brussels has increased significantly over the past few weeks.
First there was the 28-point peace plan, which may have been a US-led proposal, but read as if it was Kremlin-approved. Then the new US national security strategy, which gave significantly more space to criticisms of Europe than to condemnation of Russia for the war in Ukraine.
No longer casting Russia as a threat to international security shows how detached the US has become from reality and the transatlantic alliance.
Russia’s president, Vladimir Putin, keeps insisting that he will achieve his war aims of fully annexing another four Ukrainian regions – in addition to Crimea – by force or diplomacy. Giving his usually optimistic outlook on Russia’s military and economic strength, Putin reiterated these points at his annual press conference on December 19.
EU divisions widen
In light of how squeezed Brussels and Kyiv now are between Washington and Moscow, the agreement on EU financing for Ukraine, despite its flaws and the acrimony it has caused within the EU, is a significant milestone in terms of the EU gaining more control over its future security. But it is not a magic wand resolving Europe’s broader problems of finding its place and defining its role in a new international order.
The agreement reached at the summit between the EU’s leaders on how to financially support Ukraine was overshadowed by their failure to overcome disagreement on signing a trade agreement with the South American trade group, Mercosur.
A decision on this trade deal with Argentina, Bolivia, Brazil, Paraguay, Uruguay and (currently suspended) Venezuela had been 25 years in the making. The deal was due to be signed on December 20, but this has now been postponed until January.
This is meant to provide time for additional negotiations to assuage opponents of the deal in its current form, especially France, Italy and Poland, who fear that cheaper imports from Mercosur countries will hurt European farmers. Those farmers staged a fiery protest at the European parliament ahead of the European Council meeting.
The delay does not derail the trade deal, which aims to create one of the world’s largest free trade areas. But it severely dents the EU’s claim to leadership of an international multilateral trading system based on rules that prioritise mutual benefit, as an alternative to the Trump administration’s unpredictable and punitive America-first trade practices.
Both disagreements continue to hamper the EU’s capacity for a decisive international role more generally. Where Trump’s US offers unpredictability, Brussels for now only offers extended procrastination on key decisions.
This places limits on the confidence that the EU’s would-be partners in a new international order can have in its ability to lead the shrinking number of liberal democracies. Without skilled and determined leadership, they will struggle to survive – let alone thrive – in a world carved up between Washington, Moscow and Beijing.
ByteDance’s agreement to sell TikTok puts app’s algorithm in the spotlight – a social media expert explains how the ‘For You’ page works and what’s to come
Chinese tech giant ByteDance has signed an agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. President Donald Trump announced a preliminary agreement for the sale on Sept. 19, 2025, following his negotiation with Chinese leader Xi Jinping.
TikTok CEO Shou Zi Chew told employees in a memo obtained by news organizations that the company is working to close the deal by Jan. 22, 2026. Chinese and U.S. authorities will also need to approve the deal.
The deal creates a new U.S.-only version of the app, bringing it into compliance with a law signed by President Joe Biden on April 23, 2024, and upheld by the Supreme Court on Jan. 17, 2025. Specifics of the deal remain to be hammered out, but some details are emerging. These include what will happen to the video-sharing app’s core algorithm – and what that means for TikTok’s millions of U.S. users.
The Chinese government has indicated it will not permit ByteDance to sell the algorithm, because it is classified as a controlled technology export, per Chinese law. Meanwhile, U.S. tech industry executives and some lawmakers say compliance with the law requires the algorithm to be under American control. The deal as proposed includes licensing the algorithm so that it remains Chinese intellectual property while the U.S. version of the app continues to use the technology.
The algorithm’s value lies in its uncanny capacity to anticipate users’ content preferences. Many users claim it knows them better than they know themselves – a sentiment that has evolved into a curious mix of spiritual belief and conspiracy theorizing, as my colleaguesand Ihave documented. Other scholars have similarly noted that users feel more intimatelyseenandknown by TikTok’s algorithm than those powering other popular platforms.
I have studied social media algorithms for nearly a decade, exploring how our relationships with them have evolved as they become increasingly entwined with daily life. As both a social media scholar and TikTok devotee, I want to shed some light on how the algorithm works and how the app is likely to change in the wake of its sale.
How the TikTok algorithm works
In some ways, the TikTok algorithm does not differ significantly from other social media algorithms. At their core, algorithms are merely a series of steps used to accomplish a specific goal. They perform mathematical computations to optimize output in service of that goal.
There are two layers to the TikTok algorithm. First, there is the abstract layer that defines the outcome developers wish to accomplish. An internal document shared with The New York Times specified that TikTok’s algorithm optimizes for four goals: “user value,” “long-term user value,” “creator value” and “platform value.”
But how do you turn these goals into math? What does an abstract concept like “user value” even mean? It’s not practical to ask users whether they value their experience every time they visit the site. Instead, TikTok relies on proxy signals that translate abstract outcomes into quantifiable measures – specifically, likes, comments, shares, follows, time spent on a given video and other user-behavior data. These signals then become part of an equation to predict two key concrete outcomes: “retention,” or the likelihood that a user will return to the site, and “time spent” on the app.
The TikTok For You page algorithm relies on machine learning for predicting retention and time spent. Machine learning is a computational process in which an algorithm learns patterns in a dataset, with little or no human guidance, to produce the best equation to predict an outcome. Through learning patterns, the algorithm determines how much individual data signals matter for coming up with a precise prediction.
A Wall Street Journal investigation found that the amount of time users spend watching each video plays a large role in how the algorithm chooses videos it suggests to users. Using the equation it has generated to predict retention and time spent, the algorithm assigns a score to each video and ranks possible videos that could be shown to the user by this score. The higher the score for an individual user, the more likely the video will appear in their feed.
Of course, content characteristics and other users additionally inform recommendations, and there are other subprocesses folded into the equation. This step is where algorithmic moderation usually comes in. If a video looks like engagement bait or has excessive gore, for example, the content’s score will be penalized.
Here are the basics of how TikTok’s algorithm works.
What’s likely to change for US users
The sale has not been finalized, but the algorithm’s fate is coming into focus. According to reports, the United States-only version of the algorithm will be retrained on only U.S. users’ data. Users won’t need to download a new version of the app for the changed algorithm to work.
Even though the algorithm itself is the same as before, it’s fairly certain that TikTok will change. I see two key reasons for change.
First, the proposed app’s U.S.-only user population will alter the makeup of the underlying dataset informing algorithmic recommendations on an ongoing basis. As the kinds of content come to reflect American cultural preferences, values and behaviors, the algorithm may be slightly different as it “learns” new patterns.
Though users are more likely to stick with the app because they don’t need to download a new version, not all users will choose to, especially if it is seen as under the control of Trump’s allies. Under the current deal, Oracle Corp. and the U.S. government would oversee the algorithm’s retraining. This arrangement suggests that the U.S. government may have significant influence over how the app works.
The deal would give an 80% share to U.S. investors, including 50% to new investors Oracle, Silver Lake and Andreessen Horowitz. These investors have connections to Trump, and an apparent provision of the deal allows the U.S. government to select one board member.
These influences raise the possibility of a boycott from left-leaning users and creators similar to earlier boycotts of Target for rolling back DEI measures and Disney after the since-reversed suspension of Jimmy Kimmel. This may result in a user population – and data – reflective of a narrower realm of interests and ideologies.
Second, it’s possible that the majority shareowners of the new app will decide to adjust the algorithm, particularly when it comes to content moderation. The new owners may wish to modify TikTok’s Community Guidelines according to their view of acceptable and unacceptable speech.
With reports that the U.S. government would oversee retraining the algorithm, there’s a possibility that not only the new investors but also the government itself could influence how content is prioritized and moderated.
The bottom line is algorithms are highly sensitive to context. They reflect the interests, values and worldviews of the people who build them, the preferences and behaviors of people whose data informs their models and the legal and economic contexts they operate within.
This means that while it’s difficult to predict exactly what a U.S.-only TikTok will be like, it’s safe to assume it will not be a perfect mirror image of the current app.
This story was updated on Dec. 19, 2025, to include new details about TikTok’s sale.
The Arctic is transforming faster and with more far-reaching consequences than scientists expected just 20 years ago, when the first Arctic Report Card assessed the state of Earth’s far northern environment.
The snow season is dramatically shorter today, sea ice is thinning and melting earlier, and wildfire seasons are getting worse. Increasing ocean heat is reshaping ecosystems as non-Arctic marine species move northward. Thawing permafrost is releasing iron and other minerals into rivers, which degrades drinking water. And extreme storms fueled by warming seas are putting communities at risk.
The past water year, October 2024 through September 2025, brought the highest Arctic air temperatures since records began 125 years ago, including the warmest autumn ever measured and a winter and a summer that were among the warmest on record. Overall, the Arctic is warming more than twice as fast as the Earth as a whole.
Highlights from the National Oceanic and Atmospheric Administration’s 2025 Arctic Report Card.
For the 20th Arctic Report Card, we worked with the National Oceanic and Atmospheric Administration, an international team of scientists and Indigenous partners from across the Arctic to track environmental changes in the North – from air and ocean temperatures to sea ice, snow, glaciers and ecosystems – and the impacts on communities.
Together, these vital signs reveal a striking and interconnected transformation underway that’s amplifying risks for people who live there.
A wetter Arctic with more extreme precipitation
Arctic warming is intensifying the region’s water cycle.
A warmer atmosphere increases evaporation, precipitation and meltwater from snow and ice, adding and moving more water through the climate system. That leads to more extreme rainstorms and snowstorms, changing river flows and altering ecosystems.
These wetter conditions are reshaping snow cover across the region.
Snow and ice losses accelerate warming, hazards
Snow blankets the Arctic throughout much of the year, but that snow cover isn’t lasting as long. In 2025, snowpack was above average in the cold winter months, yet rapid spring melting left the area covered by snow far smaller than normal by June, continuing a six-decade decline. June snow cover in recent years has been half of what it was in the 1960s.
Losing late spring snow cover means losing a bright, reflective surface that helps keep the Arctic cool, allowing the land instead to be directly warmed by the sun, which raises the temperature.
Eight vital signs and observations in 2025 from the 20th edition of the Arctic Report Card. Arctic Report Card 2025
Sea ice tells a similar story. The year’s maximum sea ice coverage, reached in March, was the lowest in the 47-year satellite record. The minimum sea ice coverage, in September, was the 10th lowest.
Since the 1980s, the summer sea ice extent has shrunk by about 50%, while the area covered by the oldest, thickest sea ice – ice that has existed for longer than four years – has declined by more than 95%.
The thinner sea ice cover is more influenced by winds and currents, and less resilient against warming waters. This means greater variability in sea ice conditions, causing new risks for people living and working in the Arctic.
Arctic sea ice concentration in September 2025, during its annual minimum extent at the end of summer, was much smaller than the 1979-2004 median extent. The shades of blue reflect the concentration of sea ice. NOAA and CIRES/University of Colorado Boulder.
The Greenland Ice Sheet continued to lose mass in 2025, as it has every year since the late 1990s. As the ice sheet melts and calves more icebergs into the surrounding seas, it adds to global sea-level rise.
Mountain glaciers are also losing ice at an extraordinary rate – the annual rate of glacier ice loss across the Arctic has tripled since the 1990s.
This poses immediate local hazards. Glacial lake outburst floods – when water that is dammed up by a glacier is suddenly released – are becoming more frequent. In Juneau, Alaska, recent outburst floods from Mendenhall Glacier have inundated homes and displaced residents with record-setting levels of floodwater.
An aerial photo shows the result of an Aug. 10, 2025, landslide at South Sawyer Glacier in Alaska. The light-colored area of the mountainside is where the slide occurred. USGS
Glacier retreat can also contribute to catastrophic landslide impacts. Following the retreat of South Sawyer Glacier, a landslide in southeast Alaska’s Tracy Arm in August 2025 generated a tsunami that swept across the narrow fjord and ran nearly 1,600 feet (nearly 490 meters) up the other side. Fortunately, the fjord was empty of the cruise ships that regularly visit.
Record-warm oceans drive storms, ecosystem shifts
Arctic Ocean surface waters are steadily warming, with August 2025 temperatures among the highest ever measured. In some Atlantic-sector regions, sea surface temperatures were as much as 13 degrees Fahrenheit (7.2 Celsius) above the 1991-2020 average. Some parts of the Chukchi and Beaufort seas were cooler than normal.
Arctic sea surface temperatures are much warmer today than in past decades, as this map and chart of August 2025 sea surface temperatures shows. NOAA and CIRES/University of Colorado Boulder.
Warm water in the Bering Sea set the stage for one of the year’s most devastating events: Ex-Typhoon Halong, which fed on unusually warm ocean temperatures before slamming into western Alaska with hurricane-force winds and catastrophic flooding. Some villages, including Kipnuk and Kwigillingok, were heavily damaged.
As seas warm, powerful Pacific cyclones, which draw energy from warm water, are reaching higher latitudes and maintaining strength longer. Alaska’s Arctic has seen four ex-typhoons since 1970, and three of them arrived in the past four years.
The village of Kipnuk, shown on Oct. 12, 2025, was devastated by ex-Typhoon Halong. The storm displaced at least 1,500 people from across western Alaska. Alaska National Guard
Warming seas and declining sea ice are enabling southern, or boreal, marine species to move northward. In the northern Bering and Chukchi seas, Arctic species have declined sharply – by two-thirds and one-half, respectively – while the populations of boreal species expand.
On land, a similar “borealization” is underway. Satellite data shows that tundra vegetation productivity – known as tundra greenness – hit its third-highest level in the 26-year record in 2025, part of a trend driven by longer growing seasons and warmer temperatures. Yet greening is not universal – browning events caused by wildfires and extreme weather are also increasing.
Coastal tundra vegetation on the Baldwin Peninsula of Alaska. The tundra is seeing longer growing seasons with warmer temperatures, leading to the overall ‘greening’ of the region. G. V. Frost
As permafrost – the frozen ground that underlies much of the Arctic – continues its long-term warming and thaw, one emerging consequence is the spread of rusting rivers.
As thawing soils release iron and other minerals, more than 200 watersheds across Arctic Alaska now show orange discoloration. These waters exhibit higher acidity and elevated levels of toxic metals, which can contaminate fish habitat and drinking water and impact subsistence livelihoods.
In Kobuk Valley National Park in Alaska, a tributary to the Akillik River lost all its juvenile Dolly Varden and slimy sculpin fish after an abrupt increase in stream acidity when the stream turned orange.
Rust-colored water in a tributary of the Akillik River in Kobuk Valley National Park reflects permafrost thaw releasing metals into the water. National Park Service/Jon O’Donnell
Arctic communities lead new monitoring efforts
The rapid pace of change underscores the need for strong Arctic monitoring systems. Yet many government-funded observing networks face funding shortfalls and other vulnerabilities.
At the same time, Indigenous communities are leading new efforts.
The Arctic Report Card details how the people of St. Paul Island, in the Bering Sea, have spent over 20 years building and operating their own observation system, drawing on research partnerships with outside scientists while retaining control over monitoring, data and sharing of results. The Indigenous Sentinels Network tracks environmental conditions ranging from mercury in traditional foods to coastal erosion and fish habitat and is building local climate resilience in one of the most rapidly changing environments on the planet.
Observers with the Indigenous Sentinel Network, together with National Oceanic and Atmospheric Administration scientists, monitor the population and health of northern fur seals on St. Paul Island. Hannah-Marie Ladd, CC BY
The Arctic is facing threats from more than the changing climate; it’s also a region where concerns of ecosystem health and pollutants come sharply into view. In this sense, the Arctic provides a vantage point for addressing the triple planetary crisis of climate change, biodiversity loss and pollution.
The next 20 years will continue to reshape the Arctic, with changes felt by communities and economies across the planet.