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Latest Algorithmic Justice League AI Videos

Find the latest for Algorithmic Justice League company videos

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... 12:30
Create Powerful AI Agents with OpenAI's Web Search, File Search & Computer Control

Atef Ataya

1+ months ago 1K views

AI coding assistance is transforming development by integrating tools that analyze code, perform web searches, and read project documentation. OpenAI's latest tools facilitate the creation of a multi-agent system capable of executing complex workflows, including code review and documentation generation. These advancements allow developers to automate routine tasks, enhancing efficiency and accuracy. The video emphasizes the significant potential of the new Response API, file search capabilities, and computer use functionalities, making coding support more powerful and accessible than ever before.
03:59 - 04:27

AI can analyze and understand project documentation dynamically.

OpenAI Machine Learning Education
... 39:46
Discourse Corner #5: AI, DOGE, and Techno-Governance

The Prudentialist

1+ months ago 1K views

Artificial intelligence is reshaping governance by influencing policy decisions through executive orders that may be AI-generated. The discussion emphasizes the potential dangers of relying on AI systems that regurgitate historical and potentially biased data, undermining nuanced human decision-making. Key concerns include how AI-generated outputs might reflect a uniformity of thought shaped by data trained predominantly on liberal ideologies, raising the question of accountability when algorithms bypass human judgments. This shift towards automation not only risks the erosion of legal standards but also the atrophy of critical governance skills among officials as they increasingly lean on AI for decision-making.
06:16 - 06:52

Artificial intelligence's influence on the skill atrophy of government officials.

Natural Language Processing (NLP) Tech & Hardware
... 17:5
AI is going to kill new tech (unless we fix it)

Davis

1+ months ago 3K views

LLMs excel at established technologies but struggle with newer ones such as Svelte. Despite initial skepticism about AI's usefulness, adopting LLMs for everyday tasks has proven beneficial. However, attempts at generating Svelte code with models often yield confusing results due to a lack of updated training data. Testing various models on tasks revealed significant limitations, particularly with newer frameworks and libraries. Leveraging semantic search and context-based strategies is suggested as a solution to enhance LLM outputs, but challenges remain in achieving consistent and accurate responses.
01:09 - 01:51

Recent training models do better in understanding newer technologies like Svelte.

Natural Language Processing (NLP) AI Trends
... 32:26
AI Coding DEVLOG: Claude Code has CHANGED Software Engineering

IndyDevDan

1+ months ago 19K views

CLI coding tools are evolving with advances in AI, enabling engineers to build applications faster and more efficiently. This video introduces CLA code and the Model Context Protocol (mCP) alongside tools like repo mix and pocket pick. By establishing a thorough planning phase, engineers can ensure their AI tools effectively utilize existing patterns and information. The speaker emphasizes the importance of structured documentation, collaboration, and thoughtful prompt design to allow AI systems to generate relevant outputs. Ultimately, better engineering practices lead to a substantial increase in productivity and impact.
01:16 - 01:25

Project structure is critical for enhancing AI coding efficiency.

Machine Learning Tech & Hardware
... 12:
Navigating AI Decision-Making – How to Prevent Discriminatory Outcomes | Dr. Deepak Renganathan

Deep Verse

1+ months ago 2K views

AI bias arises from biased training data, algorithm design, data collection, and lack of diversity in development teams, leading to discriminatory outcomes in decision-making processes like hiring and lending. To mitigate these issues, adopting diverse and representative training data, conducting thorough data audits, embedding fairness in algorithm design, and regularly testing for bias are critical. Promoting transparency, establishing ethical guidelines, and fostering a culture of accountability within development teams ensures fair AI outcomes. By being proactive in addressing these challenges, AI systems can be built to serve all individuals equitably.
07:17 - 07:20

Transparency and explainability are crucial to identifying and correcting biases.

Ethical AI frameworks AI Ethics
... 26:57
Coding Subagents - The Next Evolution of AI IDEs

Cole Medin

1+ months ago 18K views

AI coding assistants, while revolutionary, often deliver flawed code, prompting a need for specialized sub-agents. The introduction of Claude's mCP represents a potential paradigm shift, enabling the development of AI agents tailored for specific frameworks and tools. This innovation allows a general AI to summon specialized agents as needed, enhancing productivity and reliability. The video demonstrates the use of 'Archon,' an experimental AI agent creator, within coding environments such as Wind Surf, showcasing its capability to create agents that can interact with web services efficiently, thus addressing traditional AI shortcomings.
02:52 - 03:01

Demonstrate integration of Archon with Wind Surf AI coding tools.

Windsurf Machine Learning Tech & Hardware
... 7:58
CodeLLM Review: The Most Advanced AI Coding Tool?

Shark Numbers

1+ months ago 73K views

Coding with AI emphasizes the ease of coding without needing traditional developers, showcasing Code LLM, an advanced tool from Abacus AI. Users can access the tool for a subscription fee and use it across varied programming languages. The video provides a practical tutorial on installing and utilizing Code LLM to create a simple calculator, demonstrating its functionality and versatility in writing, debugging, and optimizing code. The comparison with another LLM illustrates different implementations of similar coding tasks while encouraging users to explore various AI models for their coding needs.
07:00 - 07:12

Code LLM's practical benefits for beginners and its subscription cost.

Abacus.AI Machine Learning Tech & Hardware
... 32:29
Single File Agents. Python Scripts with Astral UV. AI Coding with Aider Architect

IndyDevDan

1+ months ago 8K views

Maximizing compute usage with AI agents while avoiding competition from major companies like OpenAI is crucial for engineers and startups. A focus on building effective, lightweight single-file agents can lead to rapid iterations and efficient use of computational resources. By utilizing tools like Astral's UV and incorporating powerful AI coding techniques, effective agents can be created to solve complex problems autonomously. The significance of agents lies in their ability to self-verify outputs, allowing them to conduct operations like verifying database queries without human intervention, enhancing overall computational impact and efficiency.
04:10 - 04:20

Single file agents operate autonomously, solving complex database queries effectively.

Machine Learning Education
... 32:29
Single File Agents. Python Scripts with Astral UV. AI Coding with Aider Architect

IndyDevDan

1+ months ago 8K views

Maximizing compute usage with AI agents while avoiding competition from major companies like OpenAI is crucial for engineers and startups. A focus on building effective, lightweight single-file agents can lead to rapid iterations and efficient use of computational resources. By utilizing tools like Astral's UV and incorporating powerful AI coding techniques, effective agents can be created to solve complex problems autonomously. The significance of agents lies in their ability to self-verify outputs, allowing them to conduct operations like verifying database queries without human intervention, enhancing overall computational impact and efficiency.
04:10 - 04:20

Single file agents operate autonomously, solving complex database queries effectively.

Machine Learning Education