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Friendly reminder that Google has an official app to run Gemma 4 on your phone.

- 100% open source
- Fully offline and private
- Multimodal with text/audio/image
- Works with Gemma E4B and E2B

And the app is available on both iOS and Android.
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elon just leaked anthropic’s model size lmao.

Opus 5T
Sonnet 1T
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2019 Article
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OpenClaw added a feature where agents "dream" about past conversations!
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Anthropic is exploring its own AI chips as rising Claude demand and industry-wide GPU shortages push leading labs to gain more control over compute.
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Try this prompt in 📱GPT

Create an image of a random scene taken with an iPhone 6 with the flash on, chaotic, and uncanny.

(Send results in comments)

#interestingPrompt
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GLM-5.1 took a 3rd spot on LM Code Arena, surpassing Claude Sonnet 4.6 and GPT-5.4-High.

It has never been like that before 👀
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MOLOTOV COCKTAIL THROWN AT HOME OF CHATGPT’S SAM ALTMAN — San Francisco Chronicle

A 20-year-old man was arrested after also making threats to burn down OpenAI’s headquarters
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Perplexity started providing early access to previously announced Personal Computer!

> Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7.

Business automation will be one of the most hot AI topics in 2026.

It is coming 👀
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Elon Musk's xChat is finally coming to the App Store.

> Fully End-to-End encrypted.
> No phone number required.
> Unlimited file sharing.
> Screenshot blocking.
> Ad-free & no tracking.
> Disappearing messages.
> Massive group chat.

releasing on iOS next week.
Pre order here: https://apps.apple.com/us/app/xchat/id6760873038
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🚨🚨 Cloudflare lost over $9 billion in market cap after Anthropic announced its new AI cybersecurity model.

Read more - https://t.me/CoreAti/1624
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📢 OpenAI developed its own ChatGPT-"Mythos" and will also not roll it out publicly.

OpenAI is planning a limited, staggered rollout of a new model with advanced cybersecurity capabilities, mirroring Anthropic's restricted release of its Mythos Preview to a small group of vetted companies.

More and more AI models are now capable enough at autonomous hacking that their makers are treating releases like responsible vulnerability disclosure.

Source.
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Andrej Karpathy
(made ai for tesla cars, One of the founding members of OpenAi.)

figured out how to clone your brain.

The setup takes an afternoon and improves itself every day.

Here's how:
Step 1: Collect everything. Every article you read, every paper, every repo, every note. Dump it all into a single folder. No organizing. No tagging. Just raw material.

Step 2: Point an LLM at that folder. It reads everything and "compiles" it into a living wiki. It writes articles about every concept it finds, creates links between related ideas, and builds a master index of everything you care about. You don't write a single word. The AI is your full-time librarian.

Step 3: Ask it anything. The AI doesn't start from scratch every time like ChatGPT normally does. It already has a map of the knowledge. And every question you ask makes the wiki smarter. Your curiosity literally compounds.

Step 4: The AI audits itself. It runs health checks across the entire wiki. Finds contradictions. Fills gaps. Suggests new questions you haven't thought to ask yet. The knowledge base grows while you sleep.
Karpathy's version on a single research topic: 100 articles. 400,000 words. He typed none of it.

We've been imagining brain uploading as exotic neuroscience decades away. But a lossy, approximate version that captures what you know, how you think, what you obsess over?
That's possible today. Feed an LLM the full history of your thinking. Fine-tune it on your patterns. Now there's an API endpoint that reasons like you and knows what you know.

Someone pointed out the most interesting implication: one day when you're gone, your kids could inherit an interactive map of your entire mind. Every passion. Every fascination. Every rabbit hole you ever went down. A living conversation with the way you thought.

Decades of dreaming about brain uploads as science fiction and it turns out we just needed markdown files and an LLM that never forgets.
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