# Anthropic Related Articles

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$500 to Buy OpenAI Stock: Silicon Valley's Most Respectable Liquidity Invitation

Silicon Valley's largest venture capital platform, AngelList, has launched a new fund called USVC, allowing U.S. retail investors to buy into high-profile AI companies like OpenAI, Anthropic, and xAI with a minimum investment of $500—no accredited investor status required. Promoted by AngelList co-founder Naval Ravikant, the fund is framed as an opportunity for ordinary people to access high-growth private tech investments traditionally reserved for VCs. However, critics argue it functions more like an exit vehicle for early insiders. USVC acquires shares not through primary rounds but largely via secondary transactions—purchasing stakes from early investors, VC funds, and employees looking to cash out at peak valuations. With companies like xAI heavily weighted in the portfolio, the fund effectively channels retail money into providing liquidity for insiders who entered at much lower valuations. The fund’s structure raises concerns: shares are illiquid, with no secondary market, and buybacks are limited and discretionary. The actual annual fee reaches 3.61%, far above the advertised 1% management fee. This model parallels the "low float, high fully diluted valuation" strategy seen in crypto, where early investors profit by selling to latecomers at inflated prices. The timing—alongside similar moves by platforms like Robinhood—suggests that Silicon Valley’s sudden interest in retail inclusion may be less about democratizing access and more about securing exits for insiders.

marsbit04/23 05:31

$500 to Buy OpenAI Stock: Silicon Valley's Most Respectable Liquidity Invitation

marsbit04/23 05:31

Anthropic Starts Poaching Scientists? $27K Weekly Onsite Stipend to Fix Claude's Expert-Level Errors

Anthropic has launched a new STEM Fellow program, offering $3,800 per week for a three-month, in-person residency in San Francisco. The role targets experts from science, technology, engineering, and mathematics (STEM) fields—machine learning experience is helpful but not required. Instead, Anthropic values scientific judgment and a willingness to learn quickly. Fellows will work with Claude models and internal tools under the guidance of an Anthropic researcher. Example projects include a materials scientist identifying errors in Claude’s reasoning or a climate scientist integrating atmospheric modeling software with Claude. The goal is to have experts "tell Claude where it's wrong" and improve its scientific capabilities. This initiative is part of Anthropic’s broader strategy to strengthen its scientific ecosystem, following earlier programs like the AI Safety Fellows and AI for Science programs. The company acknowledges that current AI models, while powerful, still produce high-confidence errors and lack end-to-end research autonomy. The program aims to embed domain expertise directly into model development, turning scientists into "high-level reviewers" for AI. Anthropic CEO Dario Amodei has previously emphasized AI’s potential to accelerate scientific breakthroughs, particularly in biology and healthcare. The company believes that the next phase of AI competition will depend not on scaling parameters, but on integrating human expertise to refine model accuracy and reliability.

marsbit04/22 07:44

Anthropic Starts Poaching Scientists? $27K Weekly Onsite Stipend to Fix Claude's Expert-Level Errors

marsbit04/22 07:44

The More Frequently They Are Updated, the More Similar Claude Code and Codex Become

OpenAI's recent release of GPT-5.4-Cyber demonstrates a striking convergence with Anthropic's Claude Mythos, reflecting a broader trend of product and strategic alignment between the two AI giants. This is particularly evident in their flagship coding assistants, Codex and Claude Code, which have evolved from distinct philosophies into increasingly similar tools. Initially, Codex emphasized speed and real-time interaction, acting like a fast, junior developer, while Claude Code focused on handling extreme complexity with methodical, large-context analysis. However, both have adopted near-identical solutions to core challenges, such as using isolated sub-tasks or agent teams to prevent context pollution during large-scale code modifications. Benchmark results show a tight race: Codex leads in terminal tasks, while Claude Code excels in complex software engineering benchmarks. Community feedback highlights nuanced differences; Claude Code is faster but can accumulate technical debt, whereas Codex is slower but more deliberate and autonomous. The open-source framework OpenClaw has accelerated this homogenization by standardizing workflows, eroding proprietary advantages. Ultimately, the competition has shifted from pure capability to ecosystem strategy, pricing, and user experience. As these tools become ubiquitous, the developer's role evolves toward higher-level problem definition and architectural thinking, beyond automated code generation.

marsbit04/19 23:55

The More Frequently They Are Updated, the More Similar Claude Code and Codex Become

marsbit04/19 23:55

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