Monem_Codes

@monem-codes.bsky.social

Empowering Businesses Through Tech 💼 | Software Development 🖥️ | Digital Marketing & Growth Hacking 📈 | AI-driven Web Dev Enthusiast 🤖 | ML Research Tinkerer 🚀

A $1.77T valuation for a company that loses billions, admits its revenue streams are illegal, unethical, or nonexistent. The SpaceX IPO might be the biggest fraud in public market history. 🎧 Listen to the latest episode of #UNFTR: The SpaceX IPO Fraud.

The SpaceX IPO Fraud.

This episode of UNFTR is an exclusive deep dive into the SpaceX IPO prospectus. It reveals what might be the biggest fraud and money grab in the public markets ever. The baseless $1.77 trillion dollar...

unftr.com

Google is transforming Search from a list of links into an AI-powered experience filled with conversational answers, autonomous agents, and interactive interfaces — a shift that could further reduce traffic to publishers across the web.

Google Search as you know it is over | TechCrunch

Google is transforming Search from a list of links into an AI-powered experience filled with conversational answers, autonomous agents, and interactive interfaces — a shift that could further reduce traffic to publishers across the web.

techcrunch.com

Hallucinations compound: 1) A worker uses an LLM to generate a report. 2) A manager uses an LLM to extract insights from the report. 3) An exec uses an LLM to turn the insights into a memo. 4) Another manager uses an LLM to summarize the memo. Each person human-washes the text for the next person.

Earlier this month, Boston Dynamics and Google Deepmind announced a partnership. Can’t wait to see the BD robots get LLM-pilled. If the humans don’t do from taking advice from ChatGPT, well, this’ll do it. A Boston Dynamics does some gymnastics.

Yet again, machine learning — even gussied up via the transformer architecture — encodes and reinforces societal biases. This study reveals that LLM-based peer review relies heavily on author institution in its decisions. arxiv.org/abs/2509.15122

Prestige over merit: An adapted audit of LLM bias in peer review

Large language models (LLMs) are playing an increasingly integral, though largely informal, role in scholarly peer review. Yet it remains unclear whether LLMs reproduce the biases observed in human de...

arxiv.org