Tootfinder

In an article entitled While the Media Chases Trump’s Distractions, Here’s the Story They’re Not Telling You,
Lev Parnas discloses that he hasn't slept in two days.
"I’ve been on the phone nonstop, speaking to sources across the globe" he said, noting that
"what the media isn’t reporting is even worse" than what journalists are currently disseminating.
They’re not asking the real question:
Why now?" he asked.
"They’re not ta…

Trump's former 'trusted operative' spills Iran story 'they're not telling you'
A man who was once Donald Trump's "trusted operative" spilled details he said you won't find on CNN or MSNBC.Author and former Trump insider Lev Parnas, who has reported on Trump's purported "humiliation" by Russia's Putin, on Sunday wrote about his take on Trump's military strike on Iran's soil.Par...

Oh no it happened - client for a research project I’m working on got upset that we’re doing manual data analysis of survey responses, and complained about why we are so slow when their internal team working on a different report got “everything done in a couple of days with #AI tools”
And then they told us that waiting for proper human analysis is a “waste of time” and that we need to just chuck our dataset into AI and “get it over with”
I really don’t know what to do right now 🥲
Trying to do this properly on their expected timeline will mean very little sleep for multiple days, but giving up on the project quality and dumping it into AI is will make this entire project a waste of time. (As I wouldn’t be able to trust the output of the analysis, or be proud of it to showcase the final report as an example of our work, and not to mention that I don’t want to support this expectation to rush everything at work with these AI models)

A good explanation why people report different experiences with LLMs. The bottom line is nothing new at all: _verify_the_results_, instead of simply trusting them because you don't know.
https://shkspr.mobi/blog/2025/06/why-do-people-have-…

One of the many interesting pages in the Future Energy Scenarios 2025, published today by NESO (🇬🇧 National Energy System Operator).
It focuses on the why, how and what of demand side flexibility.
Key: reward consumers, build trust, automate and smart tariffs.
EV smart charging gateway to more residential flex.
#EV

"Can you trust climate information? How and why powerful players are misleading the public"
#Climate #ClimateChange
https://

Can you trust climate information? How and why powerful players are misleading the public
Ten years ago, the world committed itself to keeping global warming well below 2°C (and preferably below 1.5°C) above the pre-industrial era. This would be done by reducing greenhouse gas emissions significantly by 2030 and ending all human-caused greenhouse gas emissions by 2050. This was the time of promises, with 195 countries signing up to the legally binding, global treaty on climate change, the Paris Agreement.

#Blakes7 Series C, Episode 03 - Volcano
TARRANT: I don't trust anyone except my self. That's why I'm still alive. Which way?
DAYNA: Zen's groundplot said due north. And don't look so warlike.
TARRANT: Coming from you that's almost funny.

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
Yibin Liu, Ang Li, Shijian Li
https://arxiv.org/abs/2507.06044

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
Explainable recommendations, which use the information of user and item with interaction to generate a explanation for why the user would interact with the item, are crucial for improving user trust and decision transparency to the recommender system. Existing methods primarily rely on encoding features of users and items to embeddings, which often leads to information loss due to dimensionality reduction, sparse interactions, and so on. With the advancements of large language models (LLMs) in …

🇺🇦 #NowPlaying on BBCRadio3's #SoundOfCinema
Thomas Newman & Studio Orchestra:
🎵 Finding Nemo "Why Trust a Shark?" "Friends Not Food"
#ThomasNewman #StudioOrchestra
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