A few photographs from our property.
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Even in the middle of the winter there are still wonderful sights to be seen!
Picture Parade Five Hundred and Five
Year: 2026
The downside of technology
A recent article in The Conversation prompted today’s post.
More and more I get concerned at some of the ways we are going.
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Deepfakes leveled up in 2025 – here’s what’s coming next
Siwei Lyu, University at Buffalo
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.
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. https://www.youtube.com/embed/syNN38cu3Vw?wmode=transparent&start=0 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.
Siwei Lyu, Professor of Computer Science and Engineering; Director, UB Media Forensic Lab, University at Buffalo
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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I hope with all my heart that lines of defense will rise to the challenge.
A Resolution for 2026
Meditation.
I saw this article towards the end of December and wanted to share it with you. It was on The Conversation.
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What loving-kindness meditation is and how to practice it in the new year
Jeremy David Engels, Penn State
A popular New Year’s resolution is to take up meditation – specifically mindfulness meditation. This is a healthy choice.
Regular mindfulness practice has been linked to many positive health benefits, including reduced stress and anxiety, better sleep and quicker healing after injury and illness. Mindfulness can help us to be present in a distracted world and to feel more at home in our bodies, and in our lives.
There are many different types of meditation. Some mindfulness practices ask meditators simply to sit with whatever thoughts, sensations or emotions arise without immediately reacting to them. Such meditations cultivate focus, while granting more freedom in how we respond to whatever events life throws at us.
Other meditations ask practitioners to deliberately focus on one emotion – for example, gratitude or love – to deepen the experience of that emotion. The purpose behind this type of meditation is to bring more gratitude, or more love, into one’s life. The more people meditate on love, the easier it is to experience this emotion even when not meditating.
One such meditation is known as “metta,” or loving-kindness. As a scholar of communication and mindfulness, as well as a longtime meditation teacher, I have both studied and practiced metta. Here is what loving-kindness means and how to try it out for yourself:
Unbounded, universal love
Loving-kindness, or metta, is the type of love which is practiced by Buddhists around the world. Like many forms of meditation today, there are both secular and religious forms of the practice. One does not need to be a Buddhist to practice loving-kindness. It is for anyone and everyone who wants to live more lovingly.
Loving-kindness, the feeling cultivated in metta meditation, is very different from romantic love. In the ancient Pali language, the word “metta” has two root meanings: The first is “gentle,” in the sense of a gentle spring rain that falls on young plants, nourishing them without discrimination. The second is “friend.”
Metta is limitless and unbounded love; it is gentle presence and universal friendliness. Metta practice is meant to grow people’s ability to be present for themselves and others without fail. https://www.youtube.com/embed/FyKKvCO_vSA?wmode=transparent&start=0 A guided loving-kindness meditation practice.
Metta is not reciprocal or conditional. It does not discriminate between us and them, rich and poor, educated and uneducated, popular or unpopular, worthy and unworthy. To practice metta is to give what I describe in my research as “the rarest and most precious gift” – a gift of love offered without any expectation of it being returned.
How to practice loving-kindness meditation
In the fifth century, a Sri Lankan monk, Buddhaghosa, composed an influential meditation text called the “Visuddhimagga,” or “The Path of Purification.” In this text, Buddhaghosa provides instructions for how to practice loving-kindness meditation. Contemporary teachers tend to adapt and modify his instructions.
The practice of loving-kindness often involves quietly reciting to oneself several traditional phrases designed to evoke metta, and visualizing the beings who will receive that loving-kindness.
Traditionally, the practice begins by sending loving kindness to ourselves. It is typical during this meditation to say:
May I be filled by loving-kindness
May I be safe from inner and outer dangers
May I be well in body and mind
May I be at ease and happy
After speaking these phrases, and feeling the emotions they evoke, next it’s common to direct loving-kindness toward someone – or something – else: It can be a beloved person, a dear friend, a pet, an animal, a favorite tree. The phrases become:
May you be filled by loving-kindness
May you be safe from inner and outer dangers
May you be well in body and mind
May you be at ease and happy
Next, this loving-kindness is directed to a wider circle of friends and loved ones: “May they …”
The final step is to gradually expand the circle of well wishes: including the people in our community and town, people everywhere, animals and all living beings, and the whole Earth. This last round of recitation begins: “May we …”
In this way, loving-kindness meditation practice opens the heart further and further into life, beginning with the meditator themselves.
Loving-kindness and mindful democracy
Clinical research shows that loving-kindness meditation has a positive effect on mental health, including lessening anxiety and depression, increasing life satisfaction and improving self-acceptance while reducing self-criticism. There is also evidence that loving-kindness meditation increases a sense of connection with other people.
The benefits of loving-kindness meditation are not just for the individual. In my research, I show that there are also tremendous benefits for society as a whole. Indeed, the practice of democracy requires us to work together with friends, strangers and even purported “opponents.” This is difficult to do if our hearts are full of hatred and resentment.
Each time meditators open their hearts in metta meditation, they prepare themselves to live more loving lives: for their own selves, and for all living beings.
Jeremy David Engels, Liberal Arts Endowed Professor of Communication, Penn State
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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This is terrific and Jeremy Engels offers a very professional view of loving-kindness meditation. Personally I was not aware of the meaning of Metta.
The challenge is to adjust one’s daily routine to enable meditation to become part of our daily experience.
Learning from Dogs 