Why isn’t Anthropic or OpenAI putting resources to proactively scan packages on npm, uv, pip for security attacks? That’s the biggest surface area now and all the data is public. @AnthropicAI @OpenAI @ClaudeDevs
GENERATIVE AI
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Claude AI Releases Coming Out Every Single Day
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Literally not a single day without a claude release
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Claude Anti-Sycophancy Prompt Instructions That Actually Change Model Behavior
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Just gave it to claude What works well: The anti-sycophancy section at the end is genuinely useful. "Never praise my questions," "don't capitulate without new evidence," "don't anchor on my numbers" — that's the kind of instruction that actually changes model behavior in a
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SubQ vs Opus 4.6: massive context, cheaper, faster, threatens Claude
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Si los números de SubQ son reales, Claude tiene un problema serio.
— Nico (@nicos_ai) 5 mai 2026
SubQ vs Opus 4.6:
→ 12M tokens de contexto (Claude se rompe pasados los 200k)
→ 10 veces más barato
→ 52 veces más rápido que FlashAttention
Si esto es así, van a dejar a Claude obsoleto.
Tocará probarlo en… https://t.co/s7QbxAWn1RIf SubQ's numbers are real, Claude has a serious problem.
SubQ vs Opus 4.6:
→ 12M context tokens (Claude breaks beyond 200k)
→ 10x cheaper
→ 52x faster than FlashAttention
If this is the case, they will make Claude obsolete.
Will have to test it on -

YUVA AI for ALL course shows AI benefits in Indian contexts
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YUVA AI for ALL course shows how AI can be useful in simple, familiar contexts, drafting messages, learning for exams, planning tasks, or getting things done faster, all through real Indian examples that feel relevant. You’ll also explore how to prompt AI tools effectively, so
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Google, Microsoft, xAI Grant US Government Early Access to AI Models
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Google, Microsoft and xAI have agreed to give the U.S. Commerce Department early access to unreleased AI models so the government can evaluate their capabilities and security before public launch.
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Grok Voice API enables real-time emotional voice cloning for agents
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Voice cloning just went from “sci‑fi” to “ship it.”
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 5 mai 2026
Grok’s new Voice API can clone a voice in minutes, carry rich natural emotion, and drop straight into agents, audiobooks, and more — wild upgrade for voice AI builders. https://t.co/Kk71TJcAadVoice cloning just went from “sci‑fi” to “ship it.” Grok’s new Voice API can clone a voice in minutes, carry rich natural emotion, and drop straight into agents, audiobooks, and more — wild upgrade for voice AI builders.
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AI Agents Now Write Nearly All Code in Modern Codebases
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Anthropic’s Boris Cherny argues that for certain modern, model-friendly codebases, especially TypeScript/React projects, coding is already effectively "solved".
— Chubby♨️ (@kimmonismus) 5 mai 2026
AI agents can write nearly 100% of the code, while humans shift from hand-coding to directing, reviewing, integrating,… pic.twitter.com/5f0yWrELdWAnthropic’s Boris Cherny argues that for certain modern, model-friendly codebases, especially TypeScript/React projects, coding is already effectively "solved". AI agents can write nearly 100% of the code, while humans shift from hand-coding to directing, reviewing, integrating,
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Naive RAG vs Agentic RAG Visual Comparison Explained
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Naive RAG vs. Agentic RAG, explained visually:
— Akshay 🚀 (@akshay_pachaar) 5 mai 2026
Naive RAG breaks in 3 ways:
↳ It retrieves once and generates once. If the context isn't relevant, the system can't search again.
↳ It treats every query the same. A simple lookup and a multi-hop reasoning task go through the… pic.twitter.com/yJiaYNUPukNaive RAG vs. Agentic RAG, explained visually: Naive RAG breaks in 3 ways: ↳ It retrieves once and generates once. If the context isn't relevant, the system can't search again. ↳ It treats every query the same. A simple lookup and a multi-hop reasoning task go through the
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How RLHF Shapes ChatGPT’s Helpful and Friendly Tone
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ChatGPT doesn't sound helpful by accident. Someone taught it to sound that way. After the model learns to follow instructions, labs show it thousands of answer pairs.
Humans pick which response feels clearer, friendlier, or more useful. The model learns the preferred style.