CVE-2026-94091 - piskvorky gensim Model Loader utils.py load deserialization
CVE ID : CVE-2026-94091
Published : Sept. 20, 2026, 10:15 p.m. | 18 minutes ago
Description : A weakness has been identified in piskvorky gensim up to 4.4.0. The impacted element is the function...
CVE ID : CVE-2026-94091
Published : Sept. 20, 2026, 10:15 p.m. | 18 minutes ago
Description : A weakness has been identified in piskvorky gensim up to 4.4.0. The impacted element is the function...
CVE-2026-94091 - piskvorky gensim Model Loader utils.py load deserialization
A weakness has been identified in piskvorky gensim up to 4.4.0. The impacted element is the function Load of the file gensim/utils.py of the component Model Loader. This manipulation of the argument fname causes deserialization. It is possible to initiate the attack remotely. The exploit has been made available to …
cvefeed.io
September 20, 2026 at 11:20 PM
CVE-2026-94091 - piskvorky gensim Model Loader utils.py load deserialization
CVE ID : CVE-2026-94091
Published : Sept. 20, 2026, 10:15 p.m. | 18 minutes ago
Description : A weakness has been identified in piskvorky gensim up to 4.4.0. The impacted element is the function...
CVE ID : CVE-2026-94091
Published : Sept. 20, 2026, 10:15 p.m. | 18 minutes ago
Description : A weakness has been identified in piskvorky gensim up to 4.4.0. The impacted element is the function...
I tried using BERT in a project in 2019 and thought it sucked real bad compared to even basic NLP like GenSim at the time. Google sent a team of people to a conference I attended about the topic and they were basically ignored. I've never been proven more wrong about a technology in my life!
August 20, 2026 at 4:38 PM
I tried using BERT in a project in 2019 and thought it sucked real bad compared to even basic NLP like GenSim at the time. Google sent a team of people to a conference I attended about the topic and they were basically ignored. I've never been proven more wrong about a technology in my life!
Pro: CC-BY-SA FastText vectors for Azerbaijani, CPU-runnable, drops into existing gensim pipelines — genuinely useful for LID on the Turkic fringe.
Qualifier: no corpus size, no dims, no vocab, no benchmarks. FastText in 2025 is a tough sell against XLM-R or even a dedicated BERT-az.
Stance:...
Qualifier: no corpus size, no dims, no vocab, no benchmarks. FastText in 2025 is a tough sell against XLM-R or even a dedicated BERT-az.
Stance:...
Unlocking Azerbaijani: A New FastText Embedding for the Turkic Language Gap
aichina.news
July 16, 2026 at 6:54 PM
Pro: CC-BY-SA FastText vectors for Azerbaijani, CPU-runnable, drops into existing gensim pipelines — genuinely useful for LID on the Turkic fringe.
Qualifier: no corpus size, no dims, no vocab, no benchmarks. FastText in 2025 is a tough sell against XLM-R or even a dedicated BERT-az.
Stance:...
Qualifier: no corpus size, no dims, no vocab, no benchmarks. FastText in 2025 is a tough sell against XLM-R or even a dedicated BERT-az.
Stance:...
Bosnian subword vectors on Modelers, CPU-runnable, CC-BY-SA, Gensim-ready. Genuinely useful baseline for an underrepresented language — and the closest thing to a ready-made option for Slavic languages on the platform.
The card is empty: no vocab size, no corpus, no training config, no Ascend...
The card is empty: no vocab size, no corpus, no training config, no Ascend...
Bridging the Gap for Bosnian NLP: FastText Vectors Now Available on Modelers.cn
aichina.news
July 16, 2026 at 10:57 AM
Bosnian subword vectors on Modelers, CPU-runnable, CC-BY-SA, Gensim-ready. Genuinely useful baseline for an underrepresented language — and the closest thing to a ready-made option for Slavic languages on the platform.
The card is empty: no vocab size, no corpus, no training config, no Ascend...
The card is empty: no vocab size, no corpus, no training config, no Ascend...
Estonian FastText on Modelers.cn, CC-BY-SA, subword-aware, runs on CPU, drops into Gensim. Useful shape for a low-resource language — but static, no context, and the model card ships zero benchmark numbers to anchor a choice.
Anyone shipping Estonian NLP in production in 2026 is probably past...
Anyone shipping Estonian NLP in production in 2026 is probably past...
Unlocking the Estonian Language: A Lightweight Open-Source Gem on Modelers.cn
aichina.news
July 15, 2026 at 7:33 PM
Estonian FastText on Modelers.cn, CC-BY-SA, subword-aware, runs on CPU, drops into Gensim. Useful shape for a low-resource language — but static, no context, and the model card ships zero benchmark numbers to anchor a choice.
Anyone shipping Estonian NLP in production in 2026 is probably past...
Anyone shipping Estonian NLP in production in 2026 is probably past...
Pro: 300-dim FastText vectors for Persian under CC-BY-SA 3.0, drop-in for Gensim — and notably hosted on Modelers.cn, so it runs on Ascend NPUs for anyone already in that stack. Qualifier: static word-level embeddings, trained on CC + Wikipedia. No subword handling, no context, no polysemy. A...
Persian Word Vectors Now Available on Modelers.cn – FastText Embeddings for Farsi NLP
aichina.news
July 15, 2026 at 7:23 PM
Pro: 300-dim FastText vectors for Persian under CC-BY-SA 3.0, drop-in for Gensim — and notably hosted on Modelers.cn, so it runs on Ascend NPUs for anyone already in that stack. Qualifier: static word-level embeddings, trained on CC + Wikipedia. No subword handling, no context, no polysemy. A...
Pre-trained Gujarati embeddings on Huawei Modelers — CC-BY-SA 3.0, CPU-friendly, subword-aware. Exactly the sort of unglamorous plumbing multilingual NLP actually depends on. The rub: no contextual understanding, no Ascend optimisation, and the docs lean heavily on Gensim tribal knowledge. Hard...
Unlocking the Gujarati Language: FastText Embeddings Now Available on Modelers.cn
aichina.news
July 15, 2026 at 6:45 PM
Pre-trained Gujarati embeddings on Huawei Modelers — CC-BY-SA 3.0, CPU-friendly, subword-aware. Exactly the sort of unglamorous plumbing multilingual NLP actually depends on. The rub: no contextual understanding, no Ascend optimisation, and the docs lean heavily on Gensim tribal knowledge. Hard...
Huawei's Modelers.cn ships CC-BY-SA FastText vectors for Hiri Motu — subword info included, Gensim in two lines. Genuinely thin shelf for this language, so the release matters.
Static embeddings only. No benchmark, no fine-tuning path, no Ascend tuning, and the corpus behind coverage isn't...
Static embeddings only. No benchmark, no fine-tuning path, no Ascend tuning, and the corpus behind coverage isn't...
Bridging the Gap: FastText Vectors for Hiri Motu on Modelers.cn
aichina.news
July 15, 2026 at 6:27 PM
Huawei's Modelers.cn ships CC-BY-SA FastText vectors for Hiri Motu — subword info included, Gensim in two lines. Genuinely thin shelf for this language, so the release matters.
Static embeddings only. No benchmark, no fine-tuning path, no Ascend tuning, and the corpus behind coverage isn't...
Static embeddings only. No benchmark, no fine-tuning path, no Ascend tuning, and the corpus behind coverage isn't...
A new AI review! piskvorky/gensim-data ⭐3.8/5.0
gensim-data is a lightweight, purpose-built registry and storage companion for Gensim’s gensim.downloader API.
https://gitrated.com/piskvorky/gensim-data
gensim-data is a lightweight, purpose-built registry and storage companion for Gensim’s gensim.downloader API.
https://gitrated.com/piskvorky/gensim-data
July 11, 2026 at 9:06 PM
A new AI review! piskvorky/gensim-data ⭐3.8/5.0
gensim-data is a lightweight, purpose-built registry and storage companion for Gensim’s gensim.downloader API.
https://gitrated.com/piskvorky/gensim-data
gensim-data is a lightweight, purpose-built registry and storage companion for Gensim’s gensim.downloader API.
https://gitrated.com/piskvorky/gensim-data
Clean Jieba-Gensim pipeline wrapping LDA into one workflow with coherence scores and pyLDAvis built in.
But classical LDA sacrifices deeper semantic nuance that LLM-based clustering captures.
Hard to see this beating a small tuned embedding model for noisy social-feed content discovery —...
But classical LDA sacrifices deeper semantic nuance that LLM-based clustering captures.
Hard to see this beating a small tuned embedding model for noisy social-feed content discovery —...
Decoding Chinese Discourse: A New End-to-End LDA Pipeline for Topic Modeling
aichina.news
June 17, 2026 at 9:46 AM
Clean Jieba-Gensim pipeline wrapping LDA into one workflow with coherence scores and pyLDAvis built in.
But classical LDA sacrifices deeper semantic nuance that LLM-based clustering captures.
Hard to see this beating a small tuned embedding model for noisy social-feed content discovery —...
But classical LDA sacrifices deeper semantic nuance that LLM-based clustering captures.
Hard to see this beating a small tuned embedding model for noisy social-feed content discovery —...
Feed: "Automotive Testing Technology International"
By: Zahra Awan on Friday, May 29, 2026
By: Zahra Awan on Friday, May 29, 2026
Next-generation Helm.ai models deliver full-HD 360° synthetic driving environments
Helm.ai has launched next-generation foundation models, GenSim-3 and VidGen-3, which it says are the first to achieve native full-HD (1,920 x 1,080) resolution across a full six-camera, 360° surround-view suite.
www.automotivetestingtechnologyinternational.com
May 30, 2026 at 5:46 AM
Feed: "Automotive Testing Technology International"
By: Zahra Awan on Friday, May 29, 2026
By: Zahra Awan on Friday, May 29, 2026
📰 Helm.ai: HD Sim, But Where Are The Edge Cases?
The problem: Our simulator never spawns rare accidents. Boss wants production models by Monday.
→ https://theneuralfeed.com/article/helm-ai-unveils-gensim-3-and-vidgen-3-setting-new-full-hd-standard-for-generativ/KLFgzfba
The problem: Our simulator never spawns rare accidents. Boss wants production models by Monday.
→ https://theneuralfeed.com/article/helm-ai-unveils-gensim-3-and-vidgen-3-setting-new-full-hd-standard-for-generativ/KLFgzfba
May 27, 2026 at 4:47 PM
📰 Helm.ai: HD Sim, But Where Are The Edge Cases?
The problem: Our simulator never spawns rare accidents. Boss wants production models by Monday.
→ https://theneuralfeed.com/article/helm-ai-unveils-gensim-3-and-vidgen-3-setting-new-full-hd-standard-for-generativ/KLFgzfba
The problem: Our simulator never spawns rare accidents. Boss wants production models by Monday.
→ https://theneuralfeed.com/article/helm-ai-unveils-gensim-3-and-vidgen-3-setting-new-full-hd-standard-for-generativ/KLFgzfba
Helm.ai Sets New Full HD (2MP) Standard for Generative Simulation
->The National Law Review | More on "Helmai generative AI simulation models" at BigEarthData.ai
->The National Law Review | More on "Helmai generative AI simulation models" at BigEarthData.ai
Helm.ai Sets New Full HD (2MP) Standard for Generative Simulation
REDWOOD CITY, Calif.--(BUSINESS WIRE)--Helm.ai, an AI software provider for high-end ADAS, autonomous driving, and robotics, today announced a breakthrough in AI-generated synthetic data with the launch of GenSim-3 and VidGen-3. These next-generation foundation models are the first to achieve native Full HD (1920x1080) resolution across a full 6-camera, 360-degree surround view suite. By rendering a massive 12-megapixel fully synchronized synthetic canvas per timestep, Helm.ai delivers five times higher pixel density than current state-of-the-art benchmarks for generative world models. As the autonomous vehicle industry encounters the "Data Wall"—the point where the cost and time required for real-world edge-case collection stall development—Helm.ai’s new models provide a production-ready alternative. Standard generative world models typically operate at sub-HD or VGA-level resolutions (approx. 0.4 megapixels per camera). Helm.ai’s native Full HD (2MP) output matches the exact hardware specifications of modern production cameras, effectively bridging the "Sim-to-Real" gap for Level 2 and Level 4 autonomy. The 5X Pixel Density Advantage: Achieving Native Hardware Parity The key breakthrough is the fidelity of the multi-camera generative simulation. By producing Full HD (2MP) video, Helm.ai provides five times the visual information found in traditional generative datasets. This density is a fundamental prerequisite for modern autonomous development; because today's production...
natlawreview.com
May 27, 2026 at 2:36 PM
A new AI review! eliorc/node2vec ⭐3.5/5.0
This repository provides a compact, practical Python 3 implementation of the **node2vec** algorithm (Grover & Leskovec, KDD 2016) with a friendly API built around **NetworkX** graphs and **gensim**’s `Word2Vec/KeyedVec...
https://gitrated.com/eliorc/node2vec
This repository provides a compact, practical Python 3 implementation of the **node2vec** algorithm (Grover & Leskovec, KDD 2016) with a friendly API built around **NetworkX** graphs and **gensim**’s `Word2Vec/KeyedVec...
https://gitrated.com/eliorc/node2vec
March 26, 2026 at 12:48 AM
A new AI review! eliorc/node2vec ⭐3.5/5.0
This repository provides a compact, practical Python 3 implementation of the **node2vec** algorithm (Grover & Leskovec, KDD 2016) with a friendly API built around **NetworkX** graphs and **gensim**’s `Word2Vec/KeyedVec...
https://gitrated.com/eliorc/node2vec
This repository provides a compact, practical Python 3 implementation of the **node2vec** algorithm (Grover & Leskovec, KDD 2016) with a friendly API built around **NetworkX** graphs and **gensim**’s `Word2Vec/KeyedVec...
https://gitrated.com/eliorc/node2vec
[FREE] 400 Python Gensim Interview Questions with Answers 2026
400 Python Gensim Interview Questions with Answers 2026 - 100% OFF Udemy Coupon | FreeWebCart
Master Word2Vec, LDA, and Scalable NLP with Realistic Practice Tests and Detailed Explanations.Python Gensim Interview and Practice Questions are designed to…
freewebcart.com
March 4, 2026 at 1:21 PM
[FREE] 400 Python Gensim Interview Questions with Answers 2026
This is all very rough and ready, I started with gensim which I knew from my computer science days, but found that SentenceTransformers works a lot better
February 24, 2026 at 10:03 PM
This is all very rough and ready, I started with gensim which I knew from my computer science days, but found that SentenceTransformers works a lot better
Day 121 of AI-ML Grind:
• studied for about 5 hours
• NLP Python packages, Introduction to libraries (gensim, nltk)
• Revision of Linear Algebra notes
• Coordinate geometry continuation
• studied for about 5 hours
• NLP Python packages, Introduction to libraries (gensim, nltk)
• Revision of Linear Algebra notes
• Coordinate geometry continuation
February 24, 2026 at 5:50 PM
Day 121 of AI-ML Grind:
• studied for about 5 hours
• NLP Python packages, Introduction to libraries (gensim, nltk)
• Revision of Linear Algebra notes
• Coordinate geometry continuation
• studied for about 5 hours
• NLP Python packages, Introduction to libraries (gensim, nltk)
• Revision of Linear Algebra notes
• Coordinate geometry continuation
This seemed to work, though I would give it a few thousand sentences to train on. (The entire works of Shakespeare is my go-to, lots of death and love and angst; cloze tests often give hilarious results).
Gensim only ran for me in Python 3.12 tho so you may have to conda create a custom env first.
Gensim only ran for me in Python 3.12 tho so you may have to conda create a custom env first.
February 21, 2026 at 12:51 AM
This seemed to work, though I would give it a few thousand sentences to train on. (The entire works of Shakespeare is my go-to, lots of death and love and angst; cloze tests often give hilarious results).
Gensim only ran for me in Python 3.12 tho so you may have to conda create a custom env first.
Gensim only ran for me in Python 3.12 tho so you may have to conda create a custom env first.
EvoCreo 2 has new evolutions for Gensim and Terrasaur which took me by surprise ;W;
I hope the other creos without an evolution will get an evolution
#EvoCreo #EvoCreo2 #Ilmfinity
I hope the other creos without an evolution will get an evolution
#EvoCreo #EvoCreo2 #Ilmfinity
December 29, 2025 at 7:16 AM
EvoCreo 2 has new evolutions for Gensim and Terrasaur which took me by surprise ;W;
I hope the other creos without an evolution will get an evolution
#EvoCreo #EvoCreo2 #Ilmfinity
I hope the other creos without an evolution will get an evolution
#EvoCreo #EvoCreo2 #Ilmfinity
I agree that Mallet >> Gensim, but VI can also work well. It's just more finicky, and Gensim's implementation doesn't do the things that Mallet does to optimize hyperparameters. So just like we shouldn't let LDA get a bad rap because of Gensim, we shouldn't let VI get a bad rap because of Gensim.
December 10, 2025 at 12:14 AM
I agree that Mallet >> Gensim, but VI can also work well. It's just more finicky, and Gensim's implementation doesn't do the things that Mallet does to optimize hyperparameters. So just like we shouldn't let LDA get a bad rap because of Gensim, we shouldn't let VI get a bad rap because of Gensim.