Tootfinder

AI video generation startup Higgsfield raised a $50M Series A led by GFT Ventures (Amit Chowdhry/Pulse 2.0)
https://pulse2.com/higgsfield-50-million-series-a-raised-to-transform-ai-video-creation/

Higgsfield: $50 Million Series A Raised To Transform AI Video Creation
Higgsfield.ai, a rapidly growing company specializing in AI for video creation, has announced the successful close of its $50 million Series A funding round. The investment was led by GFT Ventures and joined by a group of firms, including BroadLight Capital, NextEquity Partners, AI Capital Partners, Menlo Ventures, Alpha Square Group, and other strategic backers. 

New on blog: "How we incidentally uncovered a 7-year old bug in gentoo-ci"
"""
“Gentoo CI” is the service providing periodic linting for the Gentoo repository. It is a part of the Repository mirror and CI project that I’ve started in 2015. Of course, it all started as a temporary third-party solution, but it persisted, was integrated into Gentoo Infrastructure and grew organically into quite a monstrosity.
It’s imperfect in many ways. In particular, it has only some degree of error recovery and when things go wrong beyond that, it requires a manual fix. Often the “fix” is to stop mirroring a problematic repository. Over time, I’ve started having serious doubts about the project, and proposed sunsetting most of it.
Lately, things have been getting worse. What started as a minor change in behavior of Git triggered a whole cascade of failures, leading to me finally announcing the deadline for sunsetting the mirroring of third-party repositories, and starting ripping non-critical bits out of it. Interesting enough, this whole process led me to finally discover the root cause of most of these failures — a bug that has existed since the very early version of the code, but happened to be hidden by the hacky error recovery code. Here’s the story of it.
"""
#Gentoo

If you get a post like this, it is a scam. This particular one targeted many #HashTagGames players and replied to various hashtag game plays but the account has now been blocked by Mastodon.Social.
Mastodon does not do age verification. Check with your instance, report it, etc if you get something like this.
Edit to remove the player that was targeted from the image and to add …

Meanwhile, Trump shut down Voice of America.
The evidence sure looks like Trump is a Putin puppet, whether he realizes it or not.
https://journa.host/@timkmak/114846266513311439

Tim Mak (@timkmak@journa.host)
Attached: 1 image Russian propaganda is increasing in #Africa, says Ukrainian intel. Russian media broadcast in Africa is now in 40+ African countries in 6 languages. This comes as Russian mercenaries continue to operate on the continent and #Russia tries to increase their influence in the region. https://nv.ua/ukr/world/geopolitics/vpliv-v-africi-rosiya-naroshchuye-prisutnist-i-vpliv-50529458.html

I feel stupid for asking this… but is there still no good way to checkout and later pull a pull request branch from another repo?
We've got `gh pr checkout NUMBER` but the only way I've found to fetch updates is to delete the local branch and start over.
I really don't want to play adlib with manually adding remotes etc – is this still the best we can do in 2025??
EDIT: it’s solved! 🎉

Tomáš Janoušek (@liskin@genserver.social)
@hynek @carlton Drop fetch.all=true and that fixes it.You may need to learn to use git remote update instead of git fetch though.And I’d consider filing this as a bug upstream, because as you said ...

"From *The Bulwark*: “Here’s how you can tell Democrats have the upper hand in the week-old shutdown fight: Marjorie Taylor Greene just endorsed their key demand. ‘WE HAVE TO DO SOMETHING ABOUT THE ABSOLUTELY INSANE COST OF INSURANCE FOR AMERICANS,’ the Georgia House Republican tweeted Monday evening."
https://whowhatwhy.org/editors-picks/thought-extinct-since-1914-rare-forest-mammal-makes-incredible-comeback/

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Yumin Choi, Dongki Kim, Jinheon Baek, Sung Ju Hwang
https://arxiv.org/abs/2510.09201 https://

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Large Language Models (LLMs) have shown remarkable success, and their multimodal expansions (MLLMs) further unlock capabilities spanning images, videos, and other modalities beyond text. However, despite this shift, prompt optimization approaches, designed to reduce the burden of manual prompt crafting while maximizing performance, remain confined to text, ultimately limiting the full potential of MLLMs. Motivated by this gap, we introduce the new problem of multimodal prompt optimization, whic…

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus
Liqun He, Jiaqi Xu
https://arxiv.org/abs/2509.09125 https://…

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus
This study explores the use of generative AI for automating the classification of tutors' Dialogue Acts (DAs), aiming to reduce the time and effort required by traditional manual coding. This case study uses the open-source CIMA corpus, in which tutors' responses are pre-annotated into four DA categories. Both GPT-3.5-turbo and GPT-4 models were tested using tailored prompts. Results show that GPT-4 achieved 80% accuracy, a weighted F1-score of 0.81, and a Cohen's Kappa of 0.74, surpassing base…

How culture and regulations are shaping AI companion platforms worldwide, with US platforms primarily targeting men and Chinese platforms mainly targeting women (Zilan Qian/ChinaTalk)
https://www.chinatalk.media/p/why-america-builds-ai-girlfriends

Why America Builds AI Girlfriends and China Makes AI Boyfriends
and what it all means

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Om Vishesh, Harshad Khadilkar, Deepak Akkil
https://arxiv.org/abs/2509.09470 https://

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Keeping pace with the rapid growth of academia literature presents a significant challenge for researchers, funding bodies, and academic societies. To address the time-consuming manual effort required for scholarly discovery, we present a novel, fully automated system that transitions from data discovery to direct action. Our pipeline demonstrates how a specialized AI agent, 'Agent-E', can be tasked with identifying papers from specific geographic regions within conference proceedings and then …