Tootfinder

Digitale Souveränität: ASML will angeblich groß bei Mistral einsteigen
Mit ASML will einer der wichtigsten Konzerne Europas beim KI-Konzern Mistral einsteigen, berichtet Reuters. Sogar ein Sitz im Aufsichtsrat ist demnach geplant.

ASML's €1.3B investment in Mistral gives the French startup capital and credibility, but it must prove it can survive in a US- and China-dominated AI industry (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-09/mis…

[Man kann chatgpt von China aus offenbar nicht aufrufen, ein VPN erzeugt da eine Fehlermeldung. Mistral.ai dagegen auch ohne VPN.]

Mistral raised a €1.7B Series C at an €11.7B valuation; ASML led the round with €1.3B to become its largest shareholder, joined by a16z, DST, and others (Tim Bradshaw/Financial Times)
https://www.ft.com/content/98e78f6b-0ebf-4546-b25f-bf7621e26c8b

Great news for European Tech.
https://www.reuters.com/world/europe/asml-becomes-mistral-ais-top-shareholder-after-leading-latest-funding-round-2025-09-07/

Overview of the Plagiarism Detection Task at PAN 2025
Andr\'e Greiner-Petter, Maik Fr\"obe, Jan Philip Wahle, Terry Ruas, Bela Gipp, Akiko Aizawa, Martin Potthast
https://arxiv.org/abs/2510.06805

Overview of the Plagiarism Detection Task at PAN 2025
The generative plagiarism detection task at PAN 2025 aims at identifying automatically generated textual plagiarism in scientific articles and aligning them with their respective sources. We created a novel large-scale dataset of automatically generated plagiarism using three large language models: Llama, DeepSeek-R1, and Mistral. In this task overview paper, we outline the creation of this dataset, summarize and compare the results of all participants and four baselines, and evaluate the resul…

Understanding the Influence of Synthetic Data for Text Embedders
Jacob Mitchell Springer, Vaibhav Adlakha, Siva Reddy, Aditi Raghunathan, Marius Mosbach
https://arxiv.org/abs/2509.06184

Understanding the Influence of Synthetic Data for Text Embedders
Recent progress in developing general purpose text embedders has been driven by training on ever-growing corpora of synthetic LLM-generated data. Nonetheless, no publicly available synthetic dataset exists, posing a barrier to studying its role for generalization. To address this issue, we first reproduce and publicly release the synthetic data proposed by Wang et al. (Mistral-E5). Our synthetic data is high quality and leads to consistent improvements in performance. Next, we critically examin…

Sources: ASML is committing €1.3B for Mistral's €1.7B Series C funding round, becoming the top shareholder, and is expected to get a board seat (Reuters)
https://www.reuters.com/world/europe/asml-becomes-mistral…

Équivalence de l'empreinte carbone de l'entrainement de Mistral Large 2
#LLM

Apple prüft, mit KI-Startups wie Mistral und Perplexity frischen Wind ins Siri-System zu holen. Nach Jahren im Funktions-Mittelmaß setzt Cupertino auf Zukäufe statt Zauberei – KI made by „ausgelagert“.
#FocusPlus: Apple-Gewinn wächst: Konzern bereit für KI-Zukäufe jeder Größe #KI

Apple-Gewinn wächst: Konzern bereit für KI-Zukäufe jeder Größe
Apple kündigte groß eine neue Siri-Sprachassistentin mit Künstlicher Intelligenz an - und musste sie dann ins nächste Jahr verschieben. Greift der Konzern zu einer Übernahme als Befreiungsschlag?

Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection
Damian Gnieciak, Tomasz Szandala
https://arxiv.org/abs/2508.04448 htt…

Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection
Modern software relies on a multitude of automated testing and quality assurance tools to prevent errors, bugs and potential vulnerabilities. This study sets out to provide a head-to-head, quantitative and qualitative evaluation of six automated approaches: three industry-standard rule-based static code-analysis tools (SonarQube, CodeQL and Snyk Code) and three state-of-the-art large language models hosted on the GitHub Models platform (GPT-4.1, Mistral Large and DeepSeek V3). Using a curated s…

Mistral updates Le Chat with a memory feature for chats and an MCP connector directory supporting over 20 enterprise platforms, both available on its free plan (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/mistral-ai-just-made-…

#goodmorning from a grey morning walk.
It's chill and I don't feel 100% well.
---
I tried creating the alt text with #mistral today. I thought: if I'm using a tool for that, I could also just support a European company. 🤔

The EU shouldn't allow Apple to take-over Mistral..
https://analyticsindiamag.com/ai-news-updates/apple-will-seriously-consider-buying-mistral-report/

Apple Will Seriously Consider Buying Mistral: Report | AIM
Are acquisitions the way forward for the company to resolve its AI issues?

Mistral releases a study on the environmental impact of its LLMs, conducting what it claims is the first comprehensive lifecycle analysis of an AI model (Mistral AI)
https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai…

Our contribution to a global environmental standard for AI | Mistral AI

Nice new models from Mistral
https://mistral.ai/news/voxtral?utm_source=superhuman&utm_medium=newsletter&utm_campaign=thinking-machines-lan…

Voxtral | Mistral AI
Introducing frontier open source speech understanding models.

Apple denkt laut #ManagerMagazin darüber nach, die KI-Startups #Mistral und #Perplexity zu kaufen. Beide Unternehmen werden prominent von Tech-Größen wie Nvidia und Jeff Bezos gestützt. Noch g…

Sources: Mistral AI is finalizing a €2B investment that values the company at €12B, in its first fundraise since June 2024, when it was valued at €5.8B (Kate Clark/Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-03/mis…

Wenn man AI fragt, wo die Libera Chat Organisation beheimatet ist, bekommt man folgende Antworten:
ChatGPT: UK
Llama: Deutschland
Mistral: USA
Claude: Schweden (was korrekt ist)
Ich finde, das fasst AI ganz gut zusammen.
#ki #ai

Hätte ich dem Leiter der EINRICHTUNG, der begeistert von Forschungsprojekten mit der französischen Firma Mistral erzählte, sagen sollen, dass deren AI-Assistent fünfbuchstabige Wörter nicht von sechsbuchstabigen zu unterscheiden mag? Von vierbuchstabigen ganz zu schweigen.

The Carbon Cost of Conversation, Sustainability in the Age of Language Models
Sayed Mahbub Hasan Amiri, Prasun Goswami, Md. Mainul Islam, Mohammad Shakhawat Hossen, Sayed Majhab Hasan Amiri, Naznin Akter
https://arxiv.org/abs/2507.20018

The Carbon Cost of Conversation, Sustainability in the Age of Language Models
Large language models (LLMs) like GPT-3 and BERT have revolutionized natural language processing (NLP), yet their environmental costs remain dangerously overlooked. This article critiques the sustainability of LLMs, quantifying their carbon footprint, water usage, and contribution to e-waste through case studies of models such as GPT-4 and energy-efficient alternatives like Mistral 7B. Training a single LLM can emit carbon dioxide equivalent to hundreds of cars driven annually, while data centr…

#KI darf kein Black Box-Spielzeug für Großkonzerne bleiben – das fordert #Mistral AI und startet die Initiative „KI für Bürger“. Es geht um Transparenz, Teilhabe und die strategische Nutzung künstlicher Intelligenz zugunsten von Gesellschaft und Staat – statt „One Size fits all“-Lösungen aus der Cloud. W…

Mistral releases Voxtral, its first open source AI audio model family, and says its API transcription offerings are cheaper than models from OpenAI and Google (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/07/15/mistral-releases-voxtr…

Mistral releases Voxtral, its first open source AI audio model | TechCrunch
French startup Mistral has jumped into the audio race with Voxtral, its first open model, aiming to challenge the dominance of walled-off corporate systems with open-weight alternatives. 

Glad to see another AI initiative being unveiled in Europe: Proton Lumo. At least there is a choice / comparison to be made now between this one and Mistral.
https://proton.me/blog/lumo-ai

Mistral adds new features to its Le Chat chatbot, including a new "deep research" mode, native multilingual reasoning, and advanced image editing (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/07/17/mistrals-…

Mistral's Le Chat chatbot gets a productivity push with new ‘deep research' mode | TechCrunch
French AI lab Mistral introduced a range of new features to its Le Chat chatbot on Thursday that bring it closer to the capabilities of rivals like OpenAI and Google. The new update includes a new “deep research” mode, native multilingual reasoning, and advanced image editing. 

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef van Genabith, Simon Ostermann
https://arxiv.org/abs/2507.22608

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
Large language models (LLMs) exhibit strong multilingual abilities, yet the neural mechanisms behind language-specific processing remain unclear. We analyze language-specific neurons in Llama-3.1-8B, Mistral-Nemo-12B, and Aya-Expanse-8B & 32B across 21 typologically diverse languages, identifying neurons that control language behavior. Using the Language Activation Probability Entropy (LAPE) method, we show that these neurons cluster in deeper layers, with non-Latin scripts showing greater spec…

Sources: Mistral is in discussions, including with Abu Dhabi's MGX, to raise $1B at a valuation of about $10B, up from its previous valuation of €5.8B (Financial Times)
https://www.ft.com/content/c824d775-d5e9-479d-8872-bb7c2cc702dc

Ik vraag me of hoe we initiatieven als GPT-NL maar ook Europese modellen als Mistral kunnen promoten/adoptie kunnen stimuleren, als CoPilot breed geïmplementeerd mag worden, daar is dan toch geen businesscase meer voor? (Los van allerlei andere bedenkingen op gebied van afhankelijkheid, digitale soevereiniteit, strategische veiligheid, concentratie risico's ed)

Inkoper Rijksoverheid: Copilot is geschikt voor overheidsorganisaties - update
Overheidsinkooporganisatie SLM stelt dat Nederlandse Rijksoverheidsorganisaties Copilot kunnen inzetten nu Microsoft aanpassingen heeft gedaan. SLM baseert dit oordeel op de herziene DPIA, wat vanuit SURF advies voor onderwijs geeft om terughoudend te zijn met Copilot.

A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
Guy Tel-Zur
https://arxiv.org/abs/2509.11947 https://arxiv.org/p…

A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
This project addresses a critical pedagogical need: offering students continuous, on-demand academic assistance beyond conventional reception hours. I present a domain-specific Retrieval-Augmented Generation (RAG) system powered by a quantized Mistral-7B Instruct model and deployed as a Telegram bot. The assistant enhances learning by delivering real-time, personalized responses aligned with the "Introduction to Parallel Processing" course materials. GPU acceleration significantly improves infe…

Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
Ankan Mullick, Saransh Sharma, Abhik Jana, Pawan Goyal
https://arxiv.org/abs/2508.16122 https://

Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
The rise of multimodal data, integrating text, audio, and visuals, has created new opportunities for studying multimodal tasks such as intent detection. This work investigates the effectiveness of Large Language Models (LLMs) and non-LLMs, including text-only and multi-modal models, in the multimodal intent detection task. Our study reveals that Mistral-7B, a text-only LLM, outperforms most competitive multimodal models by approximately 9% on MIntRec-1 and 4% on MIntRec2.0 datasets. This perfor…

Google, Amazon, Cohere, and Mistral are intensifying efforts to reduce AI hallucinations via technical fixes, data quality improvements, and fact-checking (Melissa Heikkilä/Financial Times)
https://www.ft.com/content/7a4e7eae-f004-486a-987f-4a2e4dbd34fb

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs
Adnan Ahmad, Philine Kowol, Stefan Hillmann, Sebastian M\"oller
https://arxiv.org/abs/2509.10010

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs
In this paper, we provide an extensive analysis of multi-label intent classification using Large Language Models (LLMs) that are open-source, publicly available, and can be run in consumer hardware. We use the MultiWOZ 2.1 dataset, a benchmark in the dialogue system domain, to investigate the efficacy of three popular open-source pre-trained LLMs, namely LLama2-7B-hf, Mistral-7B-v0.1, and Yi-6B. We perform the classification task in a few-shot setup, giving 20 examples in the prompt with some i…

Large Language Models for Summarizing Czech Historical Documents and Beyond
V\'aclav Tran, Jakub \v{S}m\'id, Ji\v{r}\'i Mart\'inek, Ladislav Lenc, Pavel Kr\'al
https://arxiv.org/abs/2508.10368

Large Language Models for Summarizing Czech Historical Documents and Beyond
Text summarization is the task of shortening a larger body of text into a concise version while retaining its essential meaning and key information. While summarization has been significantly explored in English and other high-resource languages, Czech text summarization, particularly for historical documents, remains underexplored due to linguistic complexities and a scarcity of annotated datasets. Large language models such as Mistral and mT5 have demonstrated excellent results on many natura…