Here is the daily technology #threadcast for 6/1/25. The goal is to make this a technology "reddit".
Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.
Here is the daily technology #threadcast for 6/1/25. The goal is to make this a technology "reddit".
Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.
The New York Times just signed its first AI licensing deal: The Gray Lady is teaming up with Amazon to bring its stories to Alexa, marking the paper’s first AI collaboration. These kinds of deals happen all the time, but this one is notable because the New York Times has historically been pretty hostile to AI companies — its ongoing copyright lawsuit against OpenAI could even decide the fate of how startups train their models. The licensing announcement shows that AI really is going mainstream, with even the nation’s newspaper of record jumping on the bandwagon.
https://www.cnbc.com/2025/05/29/amazon-ai-new-york-times-alexa.html
Telling voice models apart from real humans is about to get even harder: Resemble AI just released a no-cost, open-source model called Chatterbox that can clone any voice using just five seconds of audio, and users prefer it 63.75% of the time over ElevenLabs. (You can try it here.) But don’t count out Hume’s new EVI 3, which “stammers anxiously, debates enthusiastically, and whispers intimately,” making it sound convincingly human. The model is also much better at picking up on the emotions in your voice, and it’ll switch up how it responds depending on your mood.
https://www.resemble.ai/chatterbox
Brick and Mortar: Meta plans to start opening physical retail locations where it’ll sell its VR headsets and smart glasses. Meanwhile, the tech giant just announced it’s crossed 1B monthly active users.
https://www.businessinsider.com/meta-retail-stores-expansion-virtual-reality-2025-5
Perplexity’s new agent can spin up reports, dashboards, and more: Perplexity Pro subscribers can now try Perplexity Labs, which infuses the search engine with new agentic capabilities. Compared to the three-minute limit for Perplexity’s Research mode, Labs can go for 10 minutes at a time. In one example, when asked to create a stock trading strategy, the tool gathered all the data and then generated a dashboard packed with charts, diagrams, and recommendations.
https://www.perplexity.ai/hub/blog/introducing-perplexity-labs
Eureka Moment: AI research lab Intology says its science-focused Zochi model just became the first in the world to pass peer review at a major scientific conference. It came up with a new way to spot jailbreaks and other vulnerabilities hidden within LLMs.
https://www.intology.ai/blog/zochi-acl
Set and Forget: Sequoia-backed startup Factory is opening up access to its Droids, “the world’s first software development agents.”
https://www.factory.ai/news/ga
New and Improved: China’s Kuaishou just unveiled Kling 2.1, a video model that features “superb dynamics and prompt adherents” — with some users claiming it’s the first to really compete with Google’s Veo 3 in terms of accuracy and performance.
Sharper Image: Black Forest Labs released FLUX.1 Kontext, an image model that can understand both text and image prompts, delivering state-of-the-art character and style consistency and giving
https://bfl.ai/announcements/flux-1-kontext
In typical DeepSeek fashion, China’s AI underdog claimed its latest release — an upgraded version of its reasoning-focused R1 model — was just a “minor update” when it launched earlier this week. But now that developers have gotten to actually try it out, it looks like a much bigger deal than the company was letting on.
https://artificialanalysis.ai/models
Tesla rolls out new crucial safety feature aimed at saving children
Tesla has been working on this child detection feature for several years.
Tesla is finally rolling out a new, crucial safety feature that is aimed at saving children from being left in the car.
Over the past few months, we have reported on a feature Tesla was planning to roll out in its vehicles that would help keep children out of hot cars unattended.
Tesla is finally rolling out a new, crucial safety feature that is aimed at saving children from being left in the car.
Over the past few months, we have reported on a feature Tesla was planning to roll out in its vehicles that would help keep children out of hot cars unattended.
The company has been working on a solution to this problem for several years, as it has been working on an ultrawave sensor that would detect heartbeats instead of movement, as cameras would.
Now, Tesla is implementing the feature in its vehicles with Software Update 2025.14.12, calling it “Child Left Alone Detection.”
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!summarize #tesla #robotaxi #robots #energy #elonmusk
!summarize #tesla #sales #europe #china #evs
The Kardashev Scale, proposed by Soviet astronomer Nikolai Kardashev in 1964, measures a civilization's technological advancement based on its ability to harness and utilize energy. It provides a framework to speculate about the future of civilization by categorizing it into three main types, with potential extensions beyond. Below, I explore the future of civilization in the context of this scale, considering current trends, technological possibilities, and challenges.
Overview of the Kardashev Scale
Type I: A civilization that can harness and use all the energy available on its planet (approximately 10^16 to 10^17 watts). This includes solar, wind, geothermal, nuclear, and other planetary energy sources.
Type II: A civilization that can harness and control the total energy output of its star (approximately 10^26 watts), potentially through structures like a Dyson Sphere or Swarm.
Type III: A civilization that can harness the energy of an entire galaxy (approximately 10^36 watts), utilizing the output of billions of stars and other galactic resources.
Beyond Type III: Hypothetical Type IV and V civilizations might control energy on the scale of multiple galaxies, universal structures, or even manipulate the fundamental laws of physics.
Technological Drivers:
AI and Automation: Artificial intelligence, like advanced models beyond my capabilities, could optimize energy systems, infrastructure, and resource management, accelerating progress.
Space Exploration: Establishing lunar bases, Mars colonies, or asteroid mining (e.g., companies like SpaceX or Blue Origin) could expand humanity’s resource base and energy access.
Challenges:
Climate Change: Unmitigated climate change could divert resources from technological advancement to disaster mitigation, delaying Type I progress.
Geopolitical Tensions: Conflicts over resources or technology could hinder global cooperation.
Existential Risks: Nuclear conflicts, pandemics, or rogue AI could derail civilization’s trajectory.
Timeline: Optimistically, humanity could approach Type I by the late 22nd or early 23rd century if renewable energy, fusion, and global governance align. Pessimistically, setbacks from war, ecological collapse, or technological stagnation could delay this by centuries.
Nvidia CEO: China Trade Barrier Boosting AI Competitors
Nvidia Corp. CEO Jensen Huang said preventing Nvidia from selling artificial intelligence computer chips to China means foreign producers of AI technology are getting stronger.
Nvidia Corp. CEO Jensen Huang said preventing Nvidia from selling artificial intelligence computer chips to China means foreign producers of AI technology are getting stronger.
Huang told Bloomberg that the Trump administration's block on selling AI technology to China means buyers there are turning to other suppliers, like Huawei Technologies. The increase in business for Huawei, which is blacklisted from sales in the U.S., gives it more money to put back into research and development, and the results are telling, he said.
Huang said AI advancements of Chinese manufacturers are growing daily to the point they are not far behind what Nvidia is producing. "You cannot underestimate the importance of the China market," said Huang. "This is the home of the world's largest population of AI researchers."
He said all AI researchers around the globe should be building a reliance on U.S.-made technology. And more business in the U.S. is less that can be used to create ethnological advancements in China.
And there's still the business model in general to consider, he said. "Irrespective of the near-term revenue success we have had, we can't ignore the fact that the Chinese market is very important."
Dean Cain to Newsmax: Hard to 'Replicate Human Emotion' With AI
Actor Dean Cain told Newsmax on Friday that artificial intelligence (AI) programming is improving, but it's still hard to "replicate human emotion."
Cain told Newsmax's "National Report" that some AI programs are very good at creating images and voices that look real. "And it is improving so rapidly, and there was a big concern about that in the Hollywood industry, of course, because you know, we actors want jobs."
Cain said the big remaining hurdle for AI-created videos is accurately portraying a person. "And I think as good as it gets, it's really hard to replicate human emotion because we're imperfect beings. And I think AI will make things kind of perfect. So it's concerning. But you know, we're gonna have to embrace the future."
He offered that there are ways to tell fake from real. "At first, you look for a little bit of an unnatural movement. You look for lack of emotion and voices. You look for something like a little glitch, something that doesn't match up. You know, a little matrix-like."
But he added that sometimes those telltale signs are hard to spot. "It's getting really hard, to tell. I just think the difference is it lacks that human emotion, and I think we're gonna be able to sense that until the time we're all faked. And then I'll have my heart broken."
Cain's latest industry project, Little Angels, has parallels to the real world as he portrays a pro football coach relegated to coaching a young girls' soccer team.
!summarize #google #veo3 #hollywood
!summarize #yannlecun #llm #agi #scaling #technology #ai
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