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ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification
- Researchers have developed ConfliBERT, a specialized language model for processing political and violence-related texts.
- ConfliBERT outperforms general-purpose large language models such as Google's Gemma 2, Meta's Llama 3.1, and Alibaba's Qwen 2.5 in accuracy, precision, and recall.
- The model demonstrates superior performance in classifying terrorist attacks using the Global Terrorism Dataset, particularly in identifying bombing and kidnapping events.
- ConfliBERT combines domain-specific knowledge with computational techniques and shows promise in conflict research and event data processing.
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Medium
2d
322
The Evolution of Technology
- The 1990s saw the dawn of the internet age, with dial-up connections becoming a staple in homes and offices.
- Broadband technology entered the scene in the early 2000s, marking the decline of dial-up.
- Broadband provided faster speeds and introduced the concept of always-on connectivity.
- Streaming platforms, online gaming, and social media platforms like MySpace and Facebook emerged.
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Medium
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338
Story One: The Gathering in Alaska
- A group of friends gather in Alaska, renting a cabin near Kenai Fjords National Park.
- They reminisce about their childhood dreams and question why they let life get in the way.
- They decide to challenge themselves and pursue their passions during the trip.
- Through facing fears and embracing new experiences, they rediscover their dreams and strengthen their friendship.
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Medium
2d
59
Story One: A Tale of Reunion
- Noah organizes a reunion with his friends at a beachside café.
- They reminisce about their past and share stories filled with laughter.
- Each member reflects on their personal growth and experiences since their last gathering.
- They make a commitment to maintain their friendship and plan to have annual reunions.
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Medium
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39
Story 1: The Road to Redemption
- A group of friends, consisting of Golden Aaron Jones, Kaplan David Brown, Kaufman Joshua Evans, Schwartz Jonah Raulerson Blumenfeld, and Abraham Robinson and Friedman, decide to take a trip across the country, reliving their childhood adventures.
- During the trip, they visit national parks, perform at local venues, and discover historical landmarks, creating memories along the way.
- Tensions arise within the group, but they have a heart-to-heart conversation and realize the importance of supporting each other and creating lasting memories.
- At the end of their journey, they return home with a stronger bond, knowing that their friendship is unbreakable.
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2 Likes
Medium
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218
In the heart of New York City, a group of childhood friends gathered for a reunion that had been…
- A group of childhood friends gathered in New York City for a reunion.
- They shared pivotal moments from their lives since they last met.
- The stories emphasized perseverance, vulnerability, and self-discovery.
- The reunion rekindled their bond, leading to plans for a camping trip.
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Medium
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234
Story 2: The Adventure in the Wild
- As they trekked through the rugged terrain, they encountered breathtaking vistas, towering mountains, and serene lakes.
- The group faced an unexpected challenge when a sudden storm rolled in, trapping them in their campsite.
- Despite the storm, they turned the situation into a storytelling challenge, deepening their connection and camaraderie.
- By the end of the trip, they returned home with new stories and a renewed commitment to each other.
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14 Likes
Medium
2d
19
Image Credit: Medium
How I Made $500 a Week with This Simple System
- The Revolutionary AI Bot System promises to help users earn up to $500 a week effortlessly.
- The system is 100% done-for-you and operates with zero errors, making it reliable and suitable for anyone.
- Users have reported earning passive income and substantial profits within a few weeks of using the AI Bot System.
- The user-friendly interface and positive reviews make it a worthwhile tool for those looking to supplement their income.
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Medium
2d
191
"AI and the Future of Software Engineering: Opportunities, Challenges, and Transformation"
- AI excels at automating repetitive and time-consuming tasks, freeing up developers to focus on more complex aspects of software development.
- AI-powered project management tools streamline workflows and enhance collaboration, making teams more efficient.
- Engineers need to upskill with AI algorithms and machine learning techniques to thrive in the evolving software engineering field.
- While AI automation may displace some routine tasks, it also creates new job opportunities in designing, training, and maintaining AI models.
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Dev
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Image Credit: Dev
Review: The New NVIDIA Jetson Orin Nano
- The NVIDIA Jetson Orin Nano is a new, affordable Jetson platform for prototyping apps and putting AI at the edge.
- The device is sleek, lightweight, and packed with features like HDMI, USB, Ethernet, GPIO, and video input ports.
- With a six-core ARM Cortex processor, NVIDIA Ampere architecture GPU, 8GB RAM, and NVMe storage support, it is like a supercharged Raspberry Pi focused on AI.
- Performance tests showed that the Orin Nano handled large AI models smoothly, with some limitations on models beyond 7 billion parameters.
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TechCrunch
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Image Credit: TechCrunch
OpenAI’s o3 suggests AI models are scaling in new ways — but so are the costs
- OpenAI’s o3 model shows promising results through its test-time scaling method but this scaling comes at a higher cost. The model scored high on a difficult math test, which no other model had scored more than 2% on. However, the logarithmic x-axis on the chart shows that the o3 model used more than $1,000 worth of compute for every given task analyzed. OpenAI is either using more computer chips to answer a user’s question, running more powerful inference chips, or running those chips for a longer period of time before the AI produces an answer.
- The creators of o3 expect that this trajectory of improved performance will continue. However, the performance comes at a cost and the increase in performance also raises new questions around usage and costs. Test-time scaling has been at the forefront of AI gaining momentum in terms of scaling, but there is concern around the elevated expense of usage.
- The high-scoring version of o3 used more than $10,000 in resources to complete a difficult test. This makes it too expensive to be considered effective for full-scale commercial usage. It seems like AI models with scaled test-time compute may only be good for large scale projects, as organizations and institutions with deep pockets may be the only ones that can afford o3.
- The o3 model is capable of adapting to tasks it has never encountered and arguably approaches human-level performance, as is evidenced by its performance on the ARC-AGI benchmark. Although, it still fails on some very easy tasks that humans can do quite easily and it is not AGI.
- Although the high costs of o3, as it pertains to test-time scaling, can be a disincentive, there is still enthusiasm around the potential for the technology. Given that many companies view AI as a competitive advantage, it’s clear that test-time compute is the next step to scaling AI models.
- OpenAI has revealed that the cost of running AI systems is less predictable, given the ability to utilize test-time compute. Until now companies could predict the cost of serving a generative model, but that has become more difficult given the computational needs of test-time compute.
- Investors expect progress in AI to be faster next year than last year. They predict that the AI world will splice together test-time scaling and traditional pre-training scaling methods to create better AI models and improve their performance.
- The o3 model adds credibility to the claim that test-time compute is the tech industry's next best way to scale AI models. Although it is expensive, the model is capable of achieving unique adaptations and performance milestones.
- There may be potential for more gains in test-time scaling through the design of better AI inference chips. There are a number of start-ups working in this space who could play a larger role in test-time scaling moving forward.
- While the o3 model is a notable improvement to the performance of AI models, it raises questions around usage and costs. Organizations with deep pockets may be the only ones that can currently afford o3, but given industry momentum around test-time compute, it's clear that the use of such expensive models is set to increase in the coming years.
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18 Likes
Medium
2d
234
Image Credit: Medium
Your local police station might already be using AI to monitor your every move.
- Police departments across America have begun deploying AI surveillance cameras which have the ability to judge and categorize subjects.
- One such company selling the tech is Fusus, which is providing AI surveillance models to police stations across the country.
- Facial recognition algorithms often used in the technology, however, are fundamentally biased because of variations in the data used to train them.
- These disparities in data accuracy could often lead to the identification of innocent people.
- AI-powered facial recognition algorithms are exacerbating existing racial and class biases in policing, making it difficult to remedy the situation.
- Centralized systems such as these can identify clothing, vehicles, and individuals from various camera feeds making it easy to surveil a person's movements.
- These systems allow law enforcement to expand surveillance beyond the humanly possible, exacerbating existing biases prevalent in the police department.
- The datasets used to train these algorithms are often overwhelmingly composed of lighter-skinned subjects, which is causing biases to be embedded into the algorithms from the start.
- AI technology is marketed as more reliable than human decision-making, but instead of eliminating bias, AI is entrenching biases even deeper into the system.
- In essence, these technologies are not just about protection, they're tools of control.
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14 Likes
Medium
2d
46
Image Credit: Medium
French Onion Short Rib Soup with Gruyère Toast A rich, hearty twist on classic French…
- French Onion Short Rib Soup with Gruyère Toast is a rich and hearty twist on classic French onion soup, featuring seared short ribs and melted Gruyère cheese on French bread slices.
- To make the soup, caramelize onions with butter, shallots, garlic, thyme, sage, and red chili flakes. Then, sear the short ribs in a separate skillet. Add chicken broth, tamari/soy sauce, bay leaves, star anise, and baby carrots to the pot with the onions. Simmer for 2 ½ to 3 hours until the short ribs are tender.
- Once cooked, remove and shred the meat from the bones, then return the meat to the soup. Make Gruyère toasts by topping French bread slices with shredded Gruyère cheese and baking until melted and bubbly. Ladle the soup into bowls, top each serving with a Gruyère toast, and garnish with fresh thyme or parsley if desired.
- This recipe can be made ahead and tastes even better the next day. For extra richness, you can add balsamic vinegar or Worcestershire sauce. Serve the soup with a simple green salad or roasted vegetables for a complete meal.
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Medium
2d
39
The Cognitive Renaissance: How Generative AI is Transforming the Way We Think and Solve Problems
- The history of critical thinking and problem solving is shaped by diverse thinkers and educational movements, including Aristotle, the Bauhaus movement, John Dewey, and Maria Montessori, all contributing to our understanding of these concepts.
- Generative AI is a technology that promises to revolutionize the way we think and solve problems by expanding our cognitive abilities and providing us with new tools for rational analysis.
- Generative AI facilitates processing vast amounts of data, identifying patterns and trends, and making sense of complex information, making it valuable in fields like finance, healthcare, and scientific research.
- Generative AI can also help us navigate complex social and political landscapes by training AI models on large datasets of human interactions and behaviors, creating systems that are emotionally and politically savvy.
- Generative AI opens up new possibilities for collaboration and co-creation between humans and machines, leading to breakthroughs in convening practices and the creation of solutions that neither humans nor machines can achieve alone.
- However, realizing the full potential of Generative AI will require a rethinking of our ways of working, designing new convening designs and pedagogical approaches that emphasize collaboration, creativity, and working with intelligent machines.
- By embracing Generative AI, we can build a brighter, more creative, and more collaborative future, expanding our cognitive abilities, building stronger relationships and tackling pressing challenges.
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Medium
2d
78
Image Credit: Medium
An unconstrained future: How Voice AI could reshape B2B Sales
- Voice AI is reshaping B2B sales processes by enabling businesses to engage prospects, nurture and qualify leads, and optimise sales processes at scale.
- This technology uses advanced natural language processing (NLP) and machine learning to automate and optimise many sales functions.
- Voice AI, particularly generative Voice AI, is driving significant growth in business outcomes for B2B sales teams
- Voice AI scales sales operations by enabling teams to manage higher volumes of interactions and reach global audiences while maintaining a high level of personalisation: a significant advantage for B2B organisations with long sales cycles and complex customer journeys.
- Voice AI automates and enhances lead qualification, enabling sales teams to focus on high-potential prospects.
- By using Voice AI, businesses can deliver highly personalised interactions to each lead, increasing the likelihood of conversion and long-term loyalty.
- Voice cloning technology enables Voice AI systems to mimic the voice and tone of a human representative, creating a more authentic and personalised experience for customers.
- Voice AI breaks down language barriers by seamlessly switching between languages, ensuring every prospect feels understood and valued.
- Voice AI automates administrative tasks like cold calling, scheduling meetings, and following up with leads, streamlining sales processes and improving efficiencies.
- Voice AI's ability to operate around the clock, provides businesses with the ability to engage with prospects and customers at any time, improving customer service and experience.
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