ai-investing

Radical Ventures' Rob Toews explains why his fund passes on almost every AI 'Neolab' except Anthropic, which is now worth $1T, and shares an anecdote about spotting a property bubble.

A critical take on investors who lost money following the hype around the 'Situational Awareness' essay, arguing they deserved the outcome.

The article opens with a trading scene about liquidity and clearing trades, then focuses on Leopold Aschenbrenner's Situational Awareness LP fund's concentrated bets on AI hardware and chip stocks, noting recent market volatility.

Omar recommends reading Chamath Palihapitiya's AI investing guide, emphasizing the importance of harness engineering and evals for AI builders.

At 24, Leopold Aschenbrenner managed a fund of about $20 billion. Its net value surged 439% in the first half of the year, but plunged 67% in July, and he eventually sold most of the stock portfolio to Citadel. His experience is seen as a microcosm of AI frenzy and leverage risk.

A fund that bet on AI and returned 439% in the first half of the year lost 67% in July and was forced to sell most of its portfolio to Citadel, illustrating the risk that even correct long-term AI bets can fail due to leverage and timing.

AI hedge fund Situational Awareness, founded by former OpenAI researcher Leopold Aschenbrenner, sold most of its public stock portfolio to Citadel after steep losses, but retains its Anthropic shares.

Portfolio Lab is a product launch on Product Hunt offering responsible AI-driven investing for portfolio management.

The author recalls the previous prediction of the inflection point in AI upstream hardware hype, believes that the market will see sector rotation with downstream software benefiting, and points out that the increase in retail investors will amplify volatility but make the pattern more certain.

This project open-sources an AI research system based on the frameworks of value investing masters like Buffett, Munger, Duan Yongping, and Li Lu. It uses Claude Code/Codex to enable multi-agent parallel analysis of financial statements, valuations, etc., and shows real trading returns of over 1.46 million yuan in two years, significantly outperforming major indices.

Orus is a platform that uses Claude for investing in perpetuals, featured on Product Hunt.

The author argues that the most bullish AI investment scenario may not be full AGI, but rather extremely capable non-AGI AI that integrates into the economy without disrupting capitalism or society.

An analysis of the massive trading volume in AI-related equities since late 2022, highlighting the enormous capital flowing into AI stocks like NVIDIA, Tesla, Apple, Microsoft, Broadcom, TSMC, ASML, and Micron, indicating a bifurcation of the economy around AI.

TechCrunch's Equity podcast discusses the upcoming IPOs of SpaceX, Anthropic, and OpenAI, and the new MANGOS acronym replacing FAANG. The episode analyzes what this IPO moment means for investors, valuations, and public tech companies in 2026.

Recommends following @citrini's AI and semiconductor analysis account, detailing the accurate prediction records of two analysts, Jukan and Zephyr, including LG Innotek's stock surge, DRAM pricing power shift, etc., emphasizing the intelligence value in AI chips, memory, and supply chain.

This post introduces how to install investment Skills and AI research frameworks into Codex, making it a stock research assistant, and recommends 5 GitHub projects: UZI-Skill, TradingAgents, Serenity Skill, Buffett Skills, QuantDinger, for tasks like industry chain analysis, financial report analysis, risk inspection, etc.

Leni is a newly launched AI tool for investors, claiming to be the most accurate AI for investment decisions.

A user shares a free systematic tutorial on AI investing, covering industry knowledge, investment frameworks, and real-world case studies, designed to help beginners master AI stock investing.

Michael Burry warns that the AI boom may be built on temporary demand from hyperscalers training models, creating a 'bullwhip effect' that could lead to severe oversupply and a sharp correction for Nvidia.

A finance professional with 14 years of experience and CFA certification expresses skepticism about current AI applications in investing, citing overly optimistic or superficial results, and asks how others are effectively using AI.