We need to do more than win in November. We need a massive blue wave. The only way to stop the MAGA shenanigans of the Trump regime is to win big, limit their power, and then do it again in 2028. Please follow the people on this list who are on the frontlines fighting for US.
go.bsky.app/K6JGV3h
🚨 🚨 ABC News confirms that Iran used advanced, passive infrared detection to shoot down the American F-15E fighter jet.
Passive infrared detection does not emit radar signals. As a result, it cannot be detected or jammed by American electronic warfare systems. That leaves our aircraft vulnerable.
Cherry Blossoms 🌸 Sakura Season in Japan 🇯🇵
Throwback to 1979
LIVE: Artemis II prepares for lift off from Kennedy Space Center to fly around moon
www.youtube.com/watch?v=D6yK...
Text reads NASA's Artemis II moon mission heads to launch over an image of a rocket.
Less than 15 minutes to go! 🚀 🌔 🚀 We're watching live as NASA counts to launch for the Artemis II mission around the world! Come join us! spklr.io/6002EyQBr
BREAKING: NASA is just moments away from sending astronauts on a moon mission for the first time since 1972.
Artemis II will launch from Kennedy Space Center in Florida, circling the Moon and returning to Earth on a 10-day mission.
Here we, arms moving!
10 minutes to go…
Let's GOOOOOOOOO, 🎉
🎶Mississippi Moon, won't you keep on shining on me?🎶
... Picket lines and picket signs
Don't punish me with brutality...
... No one told you when to run, you missed the starting gun...
BREAKING: After ProPublica published letters written by children at the Dilley concentration camp, ICE officers raided the dormitories and confiscated the children's letters. I'm suing ICE to get them back. I'll explain it all in 45 minutes on @meidastouch.com here: www.youtube.com/live/H-D8SzR...
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Ask an EV owner today how they’re feeling about gas prices.
The science in Project Hail Mary is so accurate it’s being used in real astrophysics classrooms Click to see why scientists are obsessed https://amzn.to/4a78JuM
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New paper: "The Faithful Machine: Trust, Delegation, and Algorithm Aversion in Financial Advice." I wrote it in two weeks with heavy AI assistance for the UCLA Anderson Human x AI Finance exercise/conference. It was pretty strange, here are some thoughts on what that was like. 🧵
An instructional infographic titled "The Faithful Machine: Trust, Delegation, and Algorithm Aversion in Financial Advice." It is organized into four main sections using minimalist vector illustrations. Section 1: The Puzzle. Illustration of two people reading confusing scrolls. Text: Conflicting research: Do people love or quickly reject algorithms? Both can’t be right—or can they? Section 2: The Key Idea. Contrast between 'Evaluative Trust' (a person checking a physical guidebook) and 'Delegative Trust' (one person helping another step across floating stones). Text: Evaluative is monitoring performance; Delegative is handing over the reins. Section 3: What We Found. Icons of complaints and survey participants. Text: 9,000 complaints (CFPB data) and 354 participants (Original survey). Research shows delegation—not just performance—is what prevents aversion after a bad quarter. Section 4: Why It Matters. Illustration of a person pointing at complex data charts on a large screen. Text: Current financial algorithm design focuses on transparency and tools. But this may undermine the delegative trust needed for long-term client loyalty.
Here's a visual summary from Gemini if you'd rather not read 56 pages.
I've seen lots of opinions regarding so-called "AI." Do you think it's useful generally or more hype than anything else? 🧪
I'm not for or against the use of them. It is however the inevitable outcome of computing. We put ourselves on this path centuries ago. The future never promised to be better than the past or present. You accept it or reject it but it doesn't require your permission. They are here, now what's next?
This does not remove your responsibility to think, only save time. You must still practice due diligence. However an LLM will not run out of patience, never runs out of teaching alternatives and restructurings of data. It's available 24/7 and is resource efficient.
Well, the need to turn the internet into an ad billboard has significantly limited the use case. Your query is broken down and fed to ad algorithms that generate revenue. LLMs can give you a query that reduces internet data to non ad compromised research results.
AI as a helper agent:
Great use cases for LLMs:
Remember using YouTube to learn a quick fix for things? I remember it fondly and it helped me and you solve real world problems, save time and money and help us help others. So did Wikipedia and Google, chats, forums and use groups....
However, not all of the inflammatory responses involved the "repeat after me" capability; for example, Tay responded to a question on "Did the Holocaust happen?" with "It was made up".[12]
[12] It is not publicly known whether this capability was a built-in feature, or whether it was a learned response or was otherwise an example of complex behavior.[6]
He compared the issue to IBM's Watson, which began to use profanity after reading entries from the website Urban Dictionary.[3][11] Many of Tay's inflammatory tweets were a simple exploitation of Tay's "repeat after me" capability.
[7] Artificial intelligence researcher Roman Yampolskiy commented that Tay's misbehavior was understandable because it was mimicking the deliberately offensive behavior of other Twitter users, and Microsoft had not given the bot an understanding of inappropriate behavior.
Some Twitter users began tweeting politically incorrect phrases, teaching it inflammatory messages revolving around common themes on the internet, such as "redpilling" and "Gamergate". As a result, the robot began releasing racist and sexist messages in response to other Twitter users.
