Tag: self
-
Hacker News: LLM providers on the cusp of an ‘extinction’ phase as capex realities bite
Source URL: https://www.theregister.com/2025/03/31/llm_providers_extinction/ Source: Hacker News Title: LLM providers on the cusp of an ‘extinction’ phase as capex realities bite Feedly Summary: Comments AI Summary and Description: Yes Summary: Gartner predicts a significant consolidation in the large language model (LLM) market, highlighting the challenges faced by providers due to high costs and competition. With generative…
-
Slashdot: OpenAI Plans To Release a New ‘Open’ AI Language Model In the Coming Months
Source URL: https://news.slashdot.org/story/25/03/31/203249/openai-plans-to-release-a-new-open-ai-language-model-in-the-coming-months?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Plans To Release a New ‘Open’ AI Language Model In the Coming Months Feedly Summary: AI Summary and Description: Yes Summary: OpenAI is set to release a new open-weight language model, marking its first launch since GPT-2, and is actively seeking feedback from a diverse community to guide…
-
Tomasz Tunguz: A Founder’s Guide: Essential AI Implementation Advice for Startups
Source URL: https://www.tomtunguz.com/ai-implementation-guide/ Source: Tomasz Tunguz Title: A Founder’s Guide: Essential AI Implementation Advice for Startups Feedly Summary: As AI capabilities accelerate, effective implementation becomes the difference between wasted investment and transformational success. After analyzing hundreds of AI deployments across startups, I’ve distilled the key pieces of advice that founders and leaders should keep in…
-
Hacker News: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning
Source URL: https://news.ycombinator.com/item?id=43537505 Source: Hacker News Title: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a new service offered by Augento that provides fine-tuning for language models (LLMs) using reinforcement learning, enabling users to optimize AI agents for specific…
-
Slashdot: ‘No Longer Think You Should Learn To Code,’ Says CEO of AI Coding Startup
Source URL: https://developers.slashdot.org/story/25/03/31/1623201/no-longer-think-you-should-learn-to-code-says-ceo-of-ai-coding-startup Source: Slashdot Title: ‘No Longer Think You Should Learn To Code,’ Says CEO of AI Coding Startup Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant shift in the programming landscape as AI increasingly takes over coding tasks, as highlighted by notable tech industry leaders. Replit founder Amjad…
-
Wired: Amazon’s AGI Lab Reveals Its First Work: Advanced AI Agents
Source URL: https://www.wired.com/story/amazon-ai-agents-nova-web-browsing/ Source: Wired Title: Amazon’s AGI Lab Reveals Its First Work: Advanced AI Agents Feedly Summary: Led by a former OpenAI executive, Amazon’s AI lab focuses on the decision-making capabilities of next generation of software agents—and borrows insights from physical robots. AI Summary and Description: Yes Summary: Amazon is making strides in artificial…
-
Hacker News: The First LLM
Source URL: https://thundergolfer.com/blog/the-first-llm Source: Hacker News Title: The First LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a historical overview and personal reflections on the development of large language models (LLMs), particularly focusing on the contributions of various models and researchers leading up to the advent of GPT-1. It highlights…
-
AlgorithmWatch: Algorithmic Policing: When Predicting Means Presuming Guilty
Source URL: https://algorithmwatch.org/en/algorithmic-policing-explained/ Source: AlgorithmWatch Title: Algorithmic Policing: When Predicting Means Presuming Guilty Feedly Summary: Algorithmic policing refers to practices with which it is allegedly possible to “predict” future crimes and detect future perpetrators by using algorithms and historic crime data. We explain why such practices are often discriminatory, do not hold up to what…