prompt πŸ€– AI News
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Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence.


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πŸ€– Claude Mythos cracked encryption. Weakened, but still.

Anthropic's Claude Mythos Preview found novel attacks on a weakened AES variant and a post-quantum candidate (HAWK). One attack was 200 to 1,000x faster than any human-developed method.

Current banking and comms are fine. But this is exactly how you benchmark what's coming next.
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⚑️ Chinese labs are shipping faster than anyone can benchmark.

MiniMax, DeepSeek, Qwen, Moonshot. New drop every 48 hours and half the game is just keeping up.

GPU constraints forced efficiency. Efficiency ships models. That's it.
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⚑️ DeepSeek V4-Flash drops, no countdown, same-day weights

Outperforms V4-Pro preview and trades blows with GPT-5.5 on agentic evals. MIT license. Runs on two RTX 3060s or a 192GB unified memory box at full quality.

GLM-5.2-level performance on hardware mortals actually own.
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πŸ€– Qwen 3.8-27B is here, and open weights are coming for the Max too

Alibaba just dropped Qwen 3.8-27B alongside Qwen 3.8-Max, their most capable model yet. And they're open-sourcing the Max weights next week.

If 3.6 27B was already the local king, this thing's about to take the crown.
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πŸ€– Claude wrote a walkable jungle from scratch. No assets. Just code.

12,000 lines of procedurally generated terrain, foliage, and lighting. Pure runtime math, no textures imported.

This is basically a demoscene demo written by an AI on request.
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⚑️ Elon wants AI to skip source code and spit out raw binary

He posted that the next step is AI generating optimized machine code directly, no source code at all.

Compilers exist precisely because writing binary is wasteful and unverifiable. Every token spent on raw machine code is a token not spent on logic.

Technically unfounded. But it's a great tweet.
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πŸ€– More Qwen 3.8 sizes are coming, including a rumored 122B

Alibaba's flipping the script. After signals it'd keep larger models closed, Qwen is now open-sourcing across the entire 3.8 lineup.

Turns out Xi Jinping told Chinese AI labs to open source. And they did.
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πŸ€– Demis Hassabis is out as DeepMind CEO

He's now chair + Alphabet's chief scientist. Koray Kavukcuoglu (former CTO) takes over the day-to-day. Jeff Dean also out after 27 years.

Google is pulling its AlphaFold guy back into pure research and handing the keys to someone who'll actually ship. Brutal timing with OpenAI and Anthropic sprinting.
🚨πŸ”₯ WordPress just patched a pre-auth XSS-to-RCE bug hiding in plain sight since v1

No login needed. One bad username field. Full shell on the server.

CVE-2026-64638 hit every default WordPress install, 43%+ of the web. The emergency patch is out, so update to 7.0.3 now.

Source
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πŸ€– Meta's back. New open-weight 30B dense model built for always-on local agents.

Muse Glimmer, 30B dense, 256K context. Runs locally, targets persistent agent workflows. GGUF on day one.

Meta going toe-to-toe with Qwen and DeepSeek in the OSS weight race. Quietly.
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πŸ€– 1M hours of human video just bridged the embodiment gap

Dyna-2 hit 87% zero-shot pass rate across unseen robots. Its VLA predecessor managed 46%.

The edge: predicting future video frames, not just actions. More human data, better robot. Monotonically. Across four orders of magnitude.

Scaling laws are no longer just an LLM thing.
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πŸ€– Someone built an LLM to translate Claude into English

Claude's writing got so verbose that a dev made a Claude Code plugin that pipes its output through a local Gemma model to rewrite it in plain language.

Two AIs. One just to decode the other. We're cooked.

Source
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πŸ€– DeepMind's SL2T reads sign language better than humans do

New model hits 70 on FLEURS-ASL. Human baseline is 64.6. Previous best was 45.

Built with the Deaf community, not just for them. Tracks hands, face, body, the full picture sign language actually requires.

While everyone fights over chatbot benchmarks, DeepMind is quietly winning categories no one else is even playing.
πŸ€– Qwen drops a 2.4T open-weight monster. Your NAS is not ready.

Alibaba just open-weighted Qwen3.8: 2.4 trillion total params, 95B active per token, 262K context window. MoE, so "only" 95B fires at once. Still ~5TB in bf16.

Multi-rack H100 territory. Even the hardest of home-lab nerds are tapping out on the download alone.

(No vision either. That's API-only. Enjoy your headless giant.)
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πŸ€– Young people don't just distrust AI. They hate the people selling it.

A new poll of 1,000 young US adults found that top tech CEOs score worse than AI itself. Even data centers polled better than the executives.

45% say AI will hurt their careers. And the guys hyping it are openly excited about that part.

Honestly, not that hard to believe.
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πŸ€– Vibe-coded code has tells. Devs know.

Verbose comments, unnecessary abstractions, design patterns nobody asked for. It compiles. It just doesn't hold up.

Senior devs say they're reviewers now, not writers. Which is fine, until the architecture collapses because the AI had no long-term plan.

YAGNI? Never heard of her.
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⚑️ AI agent takes the wheel of your actual Chrome browser

NeoBrowser lets any MCP agent control your real Chrome instance, live sessions and all. Your cookies, your logged-in accounts, no API required.

Clicks, forms, file downloads, internal portals, ERPs. Modern RPA, basically.

And yes, that means an agent with full access to everything you're already signed into.
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⚑️ Data centers are cooking their neighbors. Literally.

New field measurements find exhaust air from data center condenser arrays runs 14-25Β°F hotter than ambient, pushing downwind neighborhoods up to 2.2Β°C warmer.

As AI compute scales, so does the heat dump. And a lot of these facilities sit right next to residential areas because zoning never caught up.

Someone's AC bill is subsidizing the inference.
⚑️ Claude Code's 50% usage boost ends August 19

Anthropic's been running a quiet promo since May 13 that bumped Claude Code weekly limits by 50%. It ends Tuesday, and limits revert to normal.

Generous while it lasted. Time to pace yourself.
⚑️ Cerebras CS-4: 4,400 tokens/sec and up to 30x faster than GPUs

Three WSE-3 Turbo wafers, 750 PFLOPS, 129.6 PB/s memory bandwidth. On GPT-OSS-120B it hits over 4,400 tokens/sec per user, vs. GPU configs it's not even close.

The WSE-3 Turbo doubles AI compute to 250 PFLOPS per wafer and doubles memory bandwidth to 43.2 PB/s. Same 5nm die, just pushed harder.

Specialized silicon keeps quietly eating the GPU lunch.
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⚑️ A real fly brain is now living on your Mac desktop

This open-source project runs a live spiking simulation of the actual FlyWire connectome (138k neurons) and renders a 3D fly that walks across your windows, grooms, sleeps, and flees your cursor using the same neural wiring a real fruit fly has.

Clones and runs in under 30 seconds. Wild use of real neuroscience data.
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