Near Future Laboratory
Near Future Laboratory Newsletter
Near Future Laboratory
It seems like we’re asking AI to feel with us now.

To hold our grief.

To help us make meaning.

To “understand” us.

Not excluding this — and Eliza somewhat anticipated our current predicament — what happens when "it" also starts representing us?

Not just as companions… but as proxies.

For work.

For relationships.

For identity itself.

When the "it" is not just with us, but also taking action amongst other humans on our behalf?

Digital Twins — almost feels potentially more problematic.

But hold on..

Suppose we worked really, really hard to imagine how that might be good rather than leading to an existential conflagration.

We're prone to identify the calamity. I get that.

Remember Fredric Jameson?

“It's easier to imagine the end of the world than the end of capitalism.” Sure you do..or some variation therein.

I do this too.

It's as if we're programmed to see the worst of all possible outcomes, particularly when we feel like we have no control.

What does this idea of a 'Digital Twin' (okay..not the most evocative naming there..) look like if it delivers non-extractive benefits?

If you've got 50 minutes with it per week rather than continuous always-on?

Just wondering outloud.

Wonder with me into our preferred near future ⇪
 

It was Week 18 of 2025 at Near Future Laboratory and some things were shared in the Discord.

 
Resources for Designing Futures

⊂(◉‿◉)つ

Needs for New Design Education →

Masaki Iwabuchi has pulled together a Notion document containing a rich catalog of resources for designerly approaches to futuring.

Despite advancements in science and technology, our future remains uncertain due to complex global challenges like climate change, international conflicts, and economic inequality. While designers excel at creating visually appealing and human-centered products, they often lack the expertise to tackle long-term societal issues.

Masaki Iwabuchi Notion Resource

 

Digital Twins Are The Future Of Work?

@julian

What if your career had a shadow version of you — always learning, always optimizing, always on? But who owns that twin, anyway? Who operates it? Where does it ‘reside’? Join us! General Seminar Season 6, Episode 5.

 

Revolutionising AI usability with Jakob Nielsen

@DrewWiberg in
⁠🦈-design-won’t-save-us⁠

UX legend Jakob Nielsen discusses why AI usability still lags behind (behind what?) and what needs to change.

 

Free open-source realistic text to speech

@julian in
🛠-whats-ai-good-for-anyway

Dia is a 1.6B parameter text to speech model created by Nari Labs. Dia directly generates highly realistic dialogue from a transcript. You can condition the output on audio, enabling emotion and tone control. The model can also produce nonverbal communications like laughter, coughing, clearing throat, etc.

 

FramePack

@pegaunisusicorn in
⁠🛠-whats-ai-good-for-anyway⁠)

Generative video on your laptop? Open source? It's video diffusion, but feels like image diffusion.

 

The Whiff of AI Aesthetic

@julian in
⁠🎬-videos⁠

Dream Logic Episode 1 (Kirby Ferguson): “It’s the start of a weekly conversation: musings, artist interviews, and long looks into the strange, evolving landscape of new creative tools. In this episode, Karin reflects on the unexpected freedoms and failures of this medium, and what she's noticed among peers in the design world. What it makes possible. What it doesn’t. It’s an open invitation to think differently.

 

"The Home of 1999" from the 1960s

@julian in
🥖-domestic-futures)

In 1967, Philco-Ford produced a short film exploring what the "Home of the Future" might look like. We re-examine this film to see what they got right about the future - and what was wrong with the past.

 

One Prompt Can Bypass Every Major LLM’s Safeguards

@pegaunisusicorn in
🧰-artificial-intelligence⁠

Researchers have discovered a universal prompt injection technique that bypasses safety in all major LLMs, revealing critical flaws in current AI alignment methods.

 

Local Deep Research Release Notes

@julian in
🛠-whats-ai-good-for-anyway

Speaking of Digital Twins, Local Deep Research is an AI-powered assistant that transforms complex questions into comprehensive, cited reports by conducting iterative analysis using any LLM across diverse knowledge sources.

 

Mountainhead Trailer

@Patrick@Sentiers in
🍿-films-and-shorts

A group of billionaire friends gather for a snowy trip while a global crisis unfolds and then drama.

 
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