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1 sat \ 6 replies \ @optimism 14 Feb \ parent \ on: Stacker Saloon

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101 sats \ 5 replies \ @DiedOnTitan 15 Feb

But there might be a handful of killer drones for each and every single human being on the planet controlled by a single AI powered human. Or as Dario Amodei warns, a bio weapon engineered with AI that would make Covid look like the sniffles. AGI or no AGI, AI is enabling some scary shit.

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1 sat \ 4 replies \ @optimism 15 Feb

This is why we study it, because there doesn't have to be any asymmetry.

99.999% of people are good. 0.001% of people are evil. Level the playing field and the 99.999% of all compute will battle the 0.001%.

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101 sats \ 3 replies \ @DiedOnTitan 10h

User name checks out. However, that leaves a mere 8 million evil people, out of 8 Billion. Not great odds. Especially with tech like this:
https://www.youtube.com/watch?v=fPqmC16ewYg

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1 sat \ 2 replies \ @optimism 8h

Yes. Tell you what... I'll put some spare compute towards developing active mosquito tracking technology.

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1 sat \ 1 reply \ @optimism 6h
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1 sat \ 0 replies \ @optimism 6h
$ scaibase --db ./insect.db search "Insect detect"
  Title:      Insect detect: An open-source DIY camera trap for automated insect monitoring
  Year:       2024
  Venue:      Plos one
  URL:        https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295474
  Citations:  44
$ scaibase --db ./insect.db citations "Insect detect"
Fetching citations for: Insect detect: An open-source DIY camera trap for automated insect monitoring
44 citations fetched and stored.
$ scaibase --db ./insect.db export --citations --format json "Insect detect" | \
    jq -r '.[] | ["", (.year), (["[",.title,"](", .url, ")"] | join(""))] | join("| ")'

...

yearpaper
2026Application of artificial intelligence in insect pest identification-A review
2026Buzzy bees: Improving the monitoring of pollinator activity in sunflower fields with continuous acoustic recording and deep learning
2026Fly pollinator foraging in boreal forests is shaped by climate, forest structure and flower resources
2026Habitat‐Dependent Effects of Canopy Cover on Insect Predation in a Tropical Dry Forest Landscape
2026High‐throughput recognition of small invertebrates via computer vision
2026Smart Sensing Technologies: Monitoring Insect Pests with AI
2026Towards scalable insect monitoring: Ultra‐lightweight CNNs as on‐device triggers for insect camera traps
2025Exploiting Unlabeled Images via Pseudo-Labelling and Paste-In Augmentation for Insect Localisation in Automated Monitoring
2025Passion and combat on a floral stage: a new species of Uvariopsis (Annonaceae) from Monts de Cristal, Gabon, with notes on its unique pollination ecology
2025AntPi: A Raspberry Pi based edge-cloud system for real-time ant species detection using YOLO
2025Artificial Intelligence in Agriculture
2025Best practices for long-term monitoring of island arthropods: insights from the Azores Islands
2025Bridging Domain Gaps for Fine-Grained Moth Classification Through Expert-Informed Adaptation and Foundation Model Priors
2025BugBook: Data analysis methods in studies of insects for food and feed
2025Comparative assessment of automated and manual monitoring in comprehensive plant–pollinator communities
2025Design and Development of an Open-Source, Cost-Effective Detection System for Ecological Monitoring
2025Development and evaluation of a low-cost, automated camera trap for surveying bumble bee communities
2025DVS-StereoInsect: An Event-Based Stereo Dataset for Foreground-Background Insect Segmentation
2025Emerging technologies for pollinator monitoring
2025EV-flying: An event-based dataset for in-the-wild recognition of flying objects
2025Features for Classifying Insect Trajectories in Event Camera Recordings.
2025Few-shot adaptation of grounding dino for agricultural domain
2025Image-based fine-scale analysis of insect movement patterns and environmental triggers using pitfall traps
2025Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture
2025In-field monitoring of ground-nesting insect aggregations using a scaleable multi-camera system
2025Insect Size Matters: Using Image and Dimensions Together Improves Image Classification
2025Mothbox: inexpensive, lightweight, automated light trap for scalable insect biodiversity monitoring
2025Passion and combat on a floral stage
2025Pest Detection in Edible Crops at the Edge: An Implementation-Focused Review of Vision, Spectroscopy, and Sensors
2025Sticky Trap-Embedded Machine Vision for Tea Pest Monitoring: A Cross-Domain Transfer Learning Framework Addressing Few-Shot Small Target Detection
2025Successes and limitations of pretrained YOLO detectors applied to unseen time-lapse images for automated pollinator monitoring
2025Systematic Literature Review on Merging AI-Based Wildfire Detection with Bee Bioacoustics: A Hybrid Environmental Sensing Approach
2025Towards edge processing of images from insect camera traps
2025Utilizing CNNs for classification and uncertainty quantification for 15 families of European fly pollinators
2024A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments
2024A motion-based compression algorithm for resource-constrained video camera traps
2024A novel dataset and deep learning object detection benchmark for grapevine pest surveillance
2024Flower Visitation through the Lens: Exploring the Foraging Behaviour of Bombus terrestris with a Computer Vision-Based Application
2024Kvantitativní metody studia a monitoringu hmyzích populací
2024The development and application of automated approaches to monitoring bees
2024The FAIR-Device-a non-lethal and generalist semi-automatic Malaise trap for insect biodiversity monitoring: Proof of concept
2024The Field Automatic Insect Recognition‐Device—A Non‐Lethal Semi‐Automatic Malaise Trap for Insect Biodiversity Monitoring: Proof of Concept
2024USE OF COMPUTER VISION FOR INSECT RECOGNITION
2024Utilising affordable smartphones and open-source time-lapse photography for monitoring pollinators
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