AIR#218 - Why AI Can't Replace Developers Yet ⚙️
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Here's the latest AI news for today. Enjoy!
Today's top stories
🔥 AI won't replace human devs anytime soon
AI won't replace human developers soon, as technical challenges like timeouts persist in automation.
Meta Is Probably Training AI on Images Taken by Meta Ray-Bans
Meta may be using images from its Ray-Ban glasses to train AI, raising privacy concerns over unintentional data collection.
AIHawk: AI bot to automatically apply for jobs
AIHawk automates job applications using AI, allowing users to apply efficiently and personally to multiple job offers.
We've entered the AI grift era
The rise of AI grifters is highlighted by PearAI's questionable practices in a booming funding landscape.
Cursor Team: Future of Programming with AI – Lex Fridman Podcast #447 [video]
Lex Fridman discusses the future of programming with the Cursor Team in podcast #447.
Llamafile for Meltemi: The First LLM for Greek
Meltemi is the first Greek LLM, compacted into a single executable file for easy use as a web server API and CLI.
Meta Llama 3 vision multimodal models – how to use them and what they can do
Meta's Llama 3 now features vision capabilities, enabling image and text interaction, but struggles with accurate reasoning.
How easy is it to create an AI toy like this?
Creating an AI toy can be challenging, as shown by a timeout error during navigation.
ComfyUI Custom Node for OpenAI
ComfyUI introduces OpenAI nodes for image captioning, enabling flexible integration and customization with minimal setup.
Questionable Practices in Machine Learning
The paper identifies 43 questionable practices in machine learning that hinder reproducibility and integrity in research.
One Genius' Lonely Crusade to Teach a Computer Common Sense
Doug Lenat's quest to instill common sense in AI through his Cyc project faces challenges amid the rise of machine learning.
China Telecom has trained LLMs with 1T parameters using homegrown chips
China Telecom has trained LLMs with 1 trillion parameters using homegrown chips, marking a significant step in AI independence.
Arthur Whitney's two liner torch/LLM (2024)
Arthur Whitney introduces a two-liner programming language, k-torch, enhancing LLM capabilities with concise syntax and functions.
When AI feeds on its own data
Synthetic data offers benefits for AI but risks echo chambers, bias amplification, and innovation stagnation if over-relied upon.
Microsoft Copilot for Security (6 months later)
Microsoft's Security Copilot shows improvements in setup and usability but still struggles with KQL accuracy, limiting its effectiveness.
War in the age of AI demands new weaponry
The rise of AI necessitates innovative weaponry and procurement reforms to adapt to modern warfare challenges.