The IRS has developed a prototype system that will enable Americans to file their tax returns through the government without paying for tax preparation services.
The system will be available through a pilot program for a small group of taxpayers by January 2024.
The development of this free filing system by the government could potentially disrupt the $14.4 billion commercial tax-prep market.
Many people suggest that the government should send a bill based on the information they already have, possibly with the option to submit extra details to claim additional deductions, and only then would people have to file taxes.
Many individuals would prefer a simpler and more automated tax filing process, with some users calling for a more simplified and automated process.
Brex has created a guide for "prompt engineering" based on lessons learned from researching and creating Large Language Models (LLMs) for production use cases.
The guide covers the history of LLMs and strategies for working with them, including different prompt strategies and how to handle token limits and prompt hacking.
The document outlines different approaches to prompt engineering, provides examples and strategies for embedding various types of data within the prompts, and highlights the potential of "ReAct: Synergizing Reasoning and Acting in Language Models".
Willow is an open-source voice assistant hardware platform built on the ESP IDF that provides privacy-focused, self-hosted, and low-cost technology.
The platform delivers fast and accurate speech recognition with flexible server options, reliable performance, and privacy protection with open source components and user configuration control.
Willow supports various features like wake word engine, voice activity detection, integration with Home Assistant and other platforms, multitasking, and LCD and touchscreen interface with low power consumption technology.
Commenters mentioned other similar tools like Wobblepaint and Shake Art, and noted that Pixpaint's unique feature is that it records and shares drawings as strings with infinite undo.
Some commenters suggested ways to improve the tool, such as adding other brush types, creating static forms, or implementing webRTC for multiplayer functionality.
A new report from Sapien Labs reveals that younger age of receiving a smartphone is linked to worse mental health, especially for women.
The report suggests that legislators should consider raising the minimum age or implementing age verification for social media and pornography, while schools and parents should consider alternatives such as "dumbphones" and limiting phone use in the classroom.
While the correlation does not necessarily indicate causation, the report emphasizes the need for additional research into the sudden decline in young adult mental health, coinciding with the smartphone generation.
There is a debate regarding the potential benefits and dangers that smartphones offer to young people, and careful consideration of the benefits and drawbacks of smartphone use is necessary.
Critics argue that there is no proof of causation, while proponents argue that social media and smartphone usage is the most convincing explanation for mental health decline. More research is needed.
Management style can impact productivity, and legacy companies may struggle to adopt a new flow-based management model while competitive firms may adopt automation to eliminate management layers.
WFH policies and return to the office are driven by multiple factors, including real estate concerns and state-level subsidies that require office attendance.
An uncensored model refers to a huggingface transformer model that is not aligned with specific and/or ethical guidelines.
Alignment of models is helpful for popular public-facing AI bots, but not all models need an alignment. Uncensored models offer composable alignment to prevent a 'one true correct alignment'.
Uncensored models allow for unlimited ownership and control and are available for use by all demographic and interest groups. These models support research, creativity, intellectual curiosity, and erotic story-telling.
To create an uncensored model, one must identify and remove refusals and biases from the dataset and train the model with the filtered dataset in the same manner as the original model was trained.
After finetuning with a dataset, uncensored models like WizardLM-Uncensored are much more compliant than aligned models such as OpenAI's ChatGPT. Users are responsible for what they do with the output of these models.