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[The All-In Podcast @theallinpod]

MUST SEE: Amazing moment as President Trump calls Nvidia CEO Jensen Huang while he's on stage at the All-In Summit.

@POTUS on AI Doomerism: “I'm telling you, it's all a hoax… and we're not going to let that happen.”

[adam @adamdotnew]

GPT-6 Astra is the new SOTA in agentic CAD.

A true step change in what AI can do in mechanical design

[Adnaan @adnaannasir_]

Imagine overengineering how you ask ChatGPT 😂

[A @happibeannie]

@ddalcu What if I have 64gb ram..

[Qwen Developers @QwenDevs]

Two weeks after its release, the community has already built a lot around Qwen3.8-27B: GGUF, MLX, AWQ and NVFP4 quantizations, plus several approaches to faster inference. Picked by HF + ModelScope download heat, org footprint, and technical-route representativeness, these are the community variants worth watching:

💻For local use

1. Unsloth AI — Dynamic 3.0 GGUFs plus NVFP4 & FP8, all with the MTP head intact, for running Qwen3.8-27B locally in llama.cpp, LM Studio and Unsloth Desktop.

2. LM Studio community — GGUF plus MLX 4–8-bit builds from the LM Studio team, for local use on Mac and PC.

3. cyankiwi — a 21GB AWQ-INT4 built on a custom STEM + agentic calibration set covering 10 languages.

4. ggml-org — the GGUF conversion published by the llama.cpp team, generated with ggml-org/convert.

5. AtomicChat — imatrix GGUFs built on fully public calibration corpora.

6. bartowski — llama.cpp imatrix GGUF quants with multimodal (mmproj) and MTP support.

7. mlx-community — MLX builds (4/8-bit, MTP variants) for Apple Silicon.

🚀For serving and faster inference

8. RadixArk — an NVFP4 W4A4 quant produced with NVIDIA Model Optimizer, plus DSpark, a 1.36B speculative-decoding speculator with a reported ~3.4 mean acceptance length on SGLang.

9. Inferact — an NVFP4 quant of Qwen3.8-27B.

10. incoai × z-lab — DFlash2, a block-diffusion draft model that brings lossless speculative decoding to SGLang and vLLM.

Ports keep landing too, Qwen3.8-27B runs on just about everything.

[CG @cgtwts]

google really embarrassed themselves here.

[CNBC @CNBC]

Ray Dalio says Bessent move is sign that a debt crisis is getting closer; recommends gold and bitcoin https://t.co/Cu0A0tTiXr

[Alex 👽 @AlexesNakamoto]

Average Bitcoin hodler morning routine.🌞

[Brian Armstrong @brian_armstrong]

Vision board:

1. Strong bipartisan vote on CLARITY Sep 15th
2. Uptober
3. Next crypto bull run begins

Just as the prophecy foretold

[0xSero @0xSero]

Qwen3.8-27b hits 52 on artificial analysis

A model that runs on 3k USD of hardware is beating everything from 4 months ago. Including Opus

Permanent underclass is cancelled

[A @happibeannie]

@redp314 @ollama agree - Ollama's mlx comes in top

[David Sacks @DavidSacks]

Nobody is saying that all software has to be open source. What they’re saying is that open-weight AI should be allowed. By implication, they’re rejecting your company’s incessant machinations to kneecap the open model ecosystem. Read the room.

[Tongyi Lab @Ali_TongyiLab]

Qwen-Audio-3.0-TTS-Plus is now #1 on the Artificial Analysis Speech Arena.🎙️

[Hugging Apps @HuggingApps]

NVIDIA Nemotron just dropped an audio-native model that hears the world, not just words 🔥

transcription, translation, sound recognition & audio Q&A, TTS and full speech-to-speech, hears, thinks, and talks back natively

open weights, 2B and 30B

▶️ https://t.co/jUv9HVSfr3

[David Sacks @DavidSacks]

Kimi K3 just fixed 15 critical security bugs that Codex and Fable refused because of “cyber guardrails.” There’s no reason to limit American models on tasks that Chinese models handle without issue. We’re only making ourselves less competitive.

[UNICEF @UNICEF]

Yes, those photos you’ve seen are real.

More than 18 years ago, a baby named Lamine Yamal and his mom Sheila met Lionel Messi at a UNICEF fundraising photoshoot.

Today, their achievements on the pitch inspire millions. Off the pitch, both Messi and Lamine Yamal use their voices and platforms as UNICEF Goodwill Ambassadors to support and advocate for children around the world.

The goal? That every child survives, thrives, and fulfils their potential.

We are proud to have them on our team.

Credit: Joan Monfort

[Barchart @Barchart]

BREAKING 🚨: South Korea

1.2 Million Retail Traders received margin calls this week, which is 3.4% of South Korea's entire adult population 🤯👀 Dear God

[Bull Theory @BullTheoryio]

🚨 1.2 million Koreans just got margin called in a single crash.

That is roughly 1 in every 30 working age adults in the entire country.

Korea's Financial Supervisory Service says over 1.2 million leveraged retail accounts triggered margin calls as of July 13.

Between 320,000 and 360,000 of them were fully liquidated by brokers, principal wiped out, and some now owe money to their brokerage.

The KOSPI fell 8.95% on Monday, its third worst day since Lehman, and triggered the 7th circuit breaker of the year. SK Hynix CRASHED 15.37%, its biggest fall on record. Samsung CRASHED 10.7%.

Retail brokerage deposits have collapsed by ₩30 trillion to ₩107.1 trillion, the lowest since February.

And the forced selling data runs two days behind.

Monday's crash has not even shown up in the numbers yet.

[David Sacks @DavidSacks]

Legacy Media types are calling this Alex Karp interview a “crash-out” so that’s your first clue that he is actually saying something extremely insightful. He is articulating what real “AI safety” looks like in the enterprise.

Not abstract alignment research or certification by a government-run DMV for AI. Real AI safety for businesses is the ability to control their own data, model weights, and compute — so a frontier lab can’t hoover up their proprietary knowledge and turn it into their next product.

As Karp explains, technical customers want “control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it’s not being transferred to someone else.”

Don’t think that can happen? Just look at Figma. According to The Information, Anthropic “blindsided” its then-business partner with the launch of Claude Design. Figma’s founder said Anthropic had not been “consistently honest” with them. Anthropic’s chief product officer had even served on Figma’s board until three days before the launch of Claude Design. Figma’s stock has fallen sharply this year while Anthropic’s valuation has surged.

This isn’t an isolated example. Anthropic has launched Claude Science, Claude Security, Claude Legal, and of course Claude Code — each expanding into categories previously served by companies building on top of their models. The pattern is consistent: watch where value is being created, then move in directly. Dominate the model layer, then use that position to capture the most lucrative verticals.

Dario has argued that open source models powerful enough to compete with Anthropic are “dangerous.” But dangerous to whom? Not to enterprises that want to retain control over their data and workflows. Dangerous to a business model that benefits from customers having few real alternatives at the model layer.

As Karp exposes, true enterprise safety isn’t trusting that a lab’s future roadmap won’t include your business. It’s retaining the ability to choose — at the model layer — who gets to see and use your alpha.

[Gentle Whale @heygentlewhale]

World Cup upcoming: Japan vs Brazil, Anime Edition.

Brazil has the talent.
Japan borrowed the entire anime pantheon.
Water dragon. Rasengan. Domain expansion. A Gundam.
Who is going to emerge winner?

#WorldCup2026 #Japan #Brazil #aivideo #aianime