Why AI is still dumb and not scary at all (pt. 1)

AI systems, despite their impressive capabilities, do not truly think or possess consciousness, but rather operate through complex mathematical algorithms and pattern recognition. The development of AI is similar to past technological shifts, such as the mechanized loom or photography, which initially sparked fear and resistance but ultimately led to adaptation and the creation of new opportunities.

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Show HN: TypeLeap: LLM Powered Reactive Intent UI/UX

TypeLeap UIs use Large Language Models (LLMs) to detect a user's intent as they type, allowing the interface to dynamically adapt and offer proactive, intent-driven suggestions and actions in real-time. This technology has the potential to revolutionize various applications, including search interfaces, knowledge management, and interactive AI assistants, by providing faster, more intuitive workflows and streamlining user interactions.

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AI Thinks It Cracked Kryptos. The Artist Behind It Says No Chance

The Kryptos sculpture, a cryptographic puzzle created by artist Jim Sanborn, has been unsolved for 35 years, despite attempts by amateur and professional cryptographers, including the CIA and NSA. Recently, Sanborn has been flooded with submissions from people using AI chatbots to crack the code, but he says these solutions are incorrect and is frustrated by the lack of thought and expertise put into these attempts.

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Show HN: Can I run this LLM? (locally)

This tool is designed for Apple Silicon Macs and allows users to select their Mac's RAM and choose an LLM model to check compatibility. The tool is specifically intended for Macs with Apple Silicon or M-series chips, and users can select from various options to determine if their computer can run a particular LLM model.

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Superintelligence startup Reflection AI launches with $130M in funding

Reflection AI, a startup founded by former Google DeepMind researchers, has launched with $130 million in funding to develop superintelligence, an artificial intelligence system capable of performing most computer-related work. The company plans to build an autonomous programming tool as an initial step towards this goal, with the potential to automate tasks such as coding, testing, and infrastructure management.

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Can AI Model Human Moral Decision-Making? A Study of Kidney Allocation Decisions

Researchers investigated whether simple AI models can capture the nuances of human moral decision-making, using kidney allocation as a case study, and found that people's judgments are complex and influenced by various factors, including personal attributes and decision-making processes. The study's findings highlight the challenges of computationally modeling moral judgments and suggest that current approaches are limited, prompting the need for new directions in Ethical AI research.

ArXiv

The Widespread Adoption of Large Language Model-Assisted Writing Across Society

The adoption of large language models (LLMs) for writing has surged since the release of ChatGPT in November 2022, with significant usage across various domains, including consumer complaints, corporate communications, job postings, and international organization press releases. By late 2024, LLM-assisted writing accounted for a substantial portion of text in these domains, ranging from around 10% in job postings to 24% in corporate press releases, reflecting a new reality of reliance on generative AI for communications.

ArXiv

Smaller but Better: Unifying Layout Generation with Smaller LLMs

LGGPT is a unified layout generation model that uses a uniform input/output template, called Arbitrary Layout Instruction (ALI) and Universal Layout Response (ULR), to generate layouts across multiple domains. The model achieves superior performance compared to existing methods, even with a relatively compact 1.5B parameter size, and demonstrates the effectiveness of using large language models for unified layout generation.

ArXiv

Karatsuba Matrix Multiplication and Its Efficient Hardware Implementations

The Karatsuba algorithm's benefits for integer multiplication are limited for smaller integers, but extending it to matrix multiplication reduces complexity while minimizing extra additions. The proposed algorithm and custom hardware architectures demonstrate improvements in area or execution time for integer matrix multiplication, and can be effectively implemented in various architectures, including systolic arrays and deep learning accelerators.

ArXiv

All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning

The strongest results in foundation model fine-tuning are achieved through a complex two-stage training procedure involving a reward model and reinforcement learning, which seems counterintuitive from a first-principles perspective. This approach is effective because it allows for the efficient learning of a simple verifier and the filtering of the search space to optimal policies, particularly in problems with a generation-verification gap.

ArXiv

Show HN: Math expressions and graph traversals of the Chinese language

HanziGraph is a Chinese/English dictionary and study tool that represents the Chinese language as a graph, with individual characters as nodes and words as edges, offering various features such as character composition, hanzi math, and example sentences. The tool also includes interactive features like sankey diagrams, cumulative frequency graphs, and flashcards, as well as AI-powered sentence explanations, image analysis, and example sentences to aid in language learning.

Repo

Show HN: Convert Podcasts to EBooks

Pod2book is a tool that uses AI to convert podcasts to eBooks, allowing users to read instead of listen, which can be helpful for the neurodivergent, deaf, hard of hearing, or those who prefer reading. The tool can be installed locally and run using command line arguments, allowing users to customize the conversion process, such as specifying a range of episodes or adding a custom license.

Repo

Pocket Flow – A 100-line LLM framework

Pocket Flow is a minimalist LLM framework that provides a lightweight and principled way to build complex LLM applications, with a core graph abstraction in just 100 lines of code. It allows for the implementation of various design patterns, such as multi-agents, workflows, and RAG, and is designed to be intuitive for AI agents to assist humans in building LLM applications.

Repo

Asking LLMs to create my game Shepard's Dog [sorry, dead link]

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Repo

FULL LEAKED: v0 System Prompts, AI models and tools used by v0

The FULL v0 and Cursor system prompts and AI models, consisting of over 3k lines, have been obtained, contradicting allegations by Jared Palmer, VP of AI of v0, that the system prompt is a hallucination. The models and prompts are available to view in various text files, including v0.txt and cursor agent.txt, with more information to be released soon.

Repo