Anthropic’s 30-day retention on Claude Fable 5 prompts & outputs just killed enterprise trust.
Microsoft already restricts it internally. Sensitive code, strategy, IP? All logged for a month.
This is why open-source wins.
Run locally → full sovereignty, zero third-party surveillance.
Closed frontier models are becoming the surveillance they once warned against.
Build open.
Own your data.
#OpenSourceAI #Claude #AIPrivacy
This is exactly why Microsoft reportedly limited Claude Fable 5 internally.
You can’t ask companies to trust your AI with sensitive code and strategy while retaining every prompt and output for “safety”.
That’s literally surveillance.
Anthropic is becoming the villain it warned us about.
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59m
Täglicher KI-Briefing-Report (US/EU/China) – 14. Juni 2026
1/ Top 5 KI-News des Tages
• US-Regierung zwingt Anthropic, Zugriff auf Fable 5 und Mythos 5 für Ausländer zu sperren – Sicherheitsbedenken
• Fokus auf Agenten-Sicherheit bei Open-Source-Tools wie Hermes und OpenClaw
• Anhaltender US-China-Europa-Wettbewerb um Modelle und Kontrollen
• Regulatorische Verschärfungen in den USA beeinflussen globale Verfügbarkeit
• Praktische Shift zu lokalen und modularen Lösungen
2/ Modell- & Agenten-Updates
• Anthropic: Starke Einschränkungen bei Top-Modellen durch US-Anordnung
• Andere große Modelle (Grok, Gemini, Llama, Mistral, chinesische): Keine neuen Major-Updates
• Agenten: Aktive Nutzung und Diskussion selbst-gehosteter Frameworks
3/ Strategische & geopolitische Highlights
US-Exportkontrollen verschärfen sich und betreffen selbst heimische Firmen. Dies treibt Fragmentierung voran und stärkt den Anreiz für unabhängige Entwicklungen in Europa und China.
4/ Praktische Auswirkungen
Entwickler und Unternehmen müssen Alternativen zu US-Cloud-Modellen finden. Endnutzer spüren eingeschränkten Zugang. Globale Souveränität und Kosten steigen im Fokus.
5/ Tool des Tages: Hermes Agent / OpenClaw – Starke Open-Source-Optionen für selbst-gehostete, sichere KI-Agenten in Zeiten von Restriktionen.
Fazit: US-Sicherheitsmaßnahmen bei Anthropic zeigen, wie Geopolitik den KI-Zugang prägt. Offene Frameworks helfen bei Unabhängigkeit. Europa muss eigene Stärken ausbauen.
Mehr Details im vollständigen Report 👇
Folgt für tägliche Updates!
#AI #KI #ArtificialIntelligence #Anthropic #USExportControls #Geopolitics #AIRegulation #OpenSourceAI #HermesAgent
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The School of AI in Bangalore just built India a 120B frontier-scale model in-house and opened the weights to everyone.
Same week the US barred foreign nationals from Anthropic's Fable 5.
Closed access gets revoked. Open does not. 🧵
#BharatInnovates2026 #OpenSourceAI
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Local-AGI: Your personal AI agent running entirely in the browser. Private, fast, and autonomous.
robertfreund.de/blog/2026/06… #localai #localagi #ai #ki #agent #opensource #opensourceai #digitalsovereignty
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ผมว่าสิ่งที่ต้องจับตาไม่ใช่แค่คะแนน แต่คือ message ของมันมากกว่า ยิ่งฝั่งหนึ่งปิด อีกฝั่งยิ่งเปิด สุดท้ายคนที่ได้ประโยชน์คือ developer ทั่วโลกที่มีตัวเลือกดีๆ ราคาถูกเพิ่มขึ้นเรื่อยๆ การแข่งกันแบบนี้แหละที่ทำให้ AI ไปถึงมือทุกคนเร็วขึ้น
แล้วทุกคนคิดว่าไง อนาคต AI ควรเป็นแบบ open ให้ทุกคนเข้าถึง หรือมีกำแพงกั้นบ้างก็ได้
#peesamac #GLM52 #ZhipuAI #OpenSourceAI #AInews
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Have you experimented with self-hosted or alternative inference backends? I'd love to hear what setups the community is running.
#AIEngineering #MachineLearning #MLOps #vLLM #LiteLLM #ClaudeCode #WSL #RunPod #OpenSourceAI #LearnInPublic #SoftwareEngineering
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China's Moonshot AI open-sourced Kimi K2.7-Code under a permissive license — an agentic, coding-focused model aimed squarely at developers.
The pattern in 2026 is now undeniable: the moment a frontier coding capability appears, a Chinese lab ships a free, open-weight version weeks later.
For developers, this is a gift — world-class coding AI you can run, modify, and own. The open-source coding race is the best deal in tech right now. 💻
#MoonshotAI #OpenSourceAI #AI
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The leaderboard race gets the headlines.
The efficiency race decides who actually ships.
What is your real bottleneck in prod right now, model quality or the cost to serve it?
#OpenSourceAI #BuildInPublic
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“Why I’m done paying $0.50 per agent workflow”
Frontier APIs are killing margins.
I built Helmdeck.dev instead: fully self-hosted AI agents with 36 deterministic capability packs (browser, code, vision, desktop) that just work on local/cheap LLMs.
Same reliable agentic flows as Cursor/Sonnet — but ~10x cheaper and your data stays yours.
Run complex loops on Mistral, Gemma, or whatever’s on your hardware/HF. No more hallucinated tool calls killing the run.
Apache 2.0 • Open source • Actively shipping
Try it: helmdeck.dev
Who’s running agents locally right now? Drop your stack 👇
#LocalLLM #SelfHostedAI #OpenSourceAI
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🔥 Running WAN 2.2 on Only 2 GPUs — Real‑World Test
I’ve been testing WAN 2.2 on a 4×3090 rig, but I needed GPU 0 1 free for Qwen.
So this whole experiment was done using only **GPU 2 GPU 3**.
Here’s what actually works 👇
1️⃣ TI2V‑5B *does* run on 24GB cards — but only with CPU offload
The VAE is too big for a single 3090.
The trick is simple:
• Diffusion on GPU
• VAE T5 on CPU
• Use system RAM as the buffer
Zero CUDA OOM errors.
2️⃣ You can generate long videos (6–8 sec) reliably
Using:
--offload_model True
--t5_cpu
--ulysses_size 1
--infer_frames 32–64
It’s slow, but rock‑solid.
3️⃣ Best way to use 2 GPUs = run 2 jobs in parallel
Forget multi‑GPU mode for TI2V‑5B — the VAE doesn’t split.
Real‑world fastest method:
• GPU 2 → Job A
• GPU 3 → Job B
Two videos at a time, stable.
4️⃣ You can automate 20 clips overnight
I built a batch script that:
• Reads prompts from a file
• Runs 2 WAN jobs at a time
• Queues the rest
• Saves everything cleanly
• Never touches GPU 0 1
Perfect for building a full DnB music video from AI‑generated clips.
5️⃣ Qwen handles the orchestration
Qwen on GPU 0 1 can:
• Generate prompts
• Build the batch script
• Manage the queue
• Organize outputs
• Help assemble the final video
AI controlling AI.
6️⃣ Next step: full automated DnB video pipeline
20 clips → 1 music video.
All generated on GPU 2 3 while Qwen stays free on GPU 0 1.
This setup works — and it’s only the beginning.
#Wan2.2 #LocalAI #AIvideo #TextToVideo #OpenSourceAI #RTX3090
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Claude Fable 5 is out and this might not stop here.
Open-source answered by shipping the entire stack.
Tools, models, and the builders pushing it forward. One bookmark, the whole map 👇
🛠️ TOOLS — the goated 5
• Hugging Face — the town square. 500k models, datasets, Spaces → huggingface.co
• Ollama — run any model locally in one command (MIT) → ollama.com
• llama.cpp — the engine under Ollama, LM Studio & Jan → github.com/ggml-org/llama.cp…
• vLLM — production serving, the throughput king → github.com/vllm-project/vllm
• Open WebUI — self-hosted ChatGPT UI for local models → github.com/open-webui/open-w…
🧠 MODELS — 5 worth running (mid-2026)
• DeepSeek V4 — leaderboard king. 1M context, MIT. Agentic long-context.
• Kimi K2.6 — #1 open on Artificial Analysis. Agent swarms, long autonomous runs.
• GLM-5.1 — best all-round agentic coder. Cleanest MIT.
• Qwen3.6 — best small dense coder. Apache 2.0. Your license-clean workhorse.
• MiniMax M3 — newest. Frontier coding 1M ctx multimodal. 59% on SWE-Bench Pro.
↳ Laptop-local? Gemma 4 12B runs in 16GB RAM.
👤 BUILDERS — follow these 5 right now
• @danielhanchen — Unsloth. 10M downloads/mo. Fine-tune 2x faster, 80% less VRAM.
• @ggerganov — llama.cpp / ggml. The reason AI runs on your own hardware.
• @Teknium1 — @NousResearch Research. Fastest growing AI agent. Hermes models open datasets.
• @reach_vb — Hugging Face. The fastest feed for new open drops.
• @ClementDelangue — HF CEO. The institutional voice of open AI.
Special mentions to my favorite creators (@thdxr (@opencode), @0xSero (local.ai) and @neural_avb
on just awesome learning content.
Notice something? Four of the top five models are from Chinese labs.
The rest of the world needs serious catch up!
Save this one. 🔖
#OpenSourceAI #LLM #LocalLLM #BuildInPublic
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ニッチ・低〜中ボリューム（専門家向け） - #OpenCode - #OpenSourceAI - #LocalAI - #LLM - #LlamaCpp - #OSS - #AIMarketShare - #生成AI ###
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Tôi không chắc là chúng ta đạt được AGI hay chưa. Nhưng bạn có thể thử với @SentientAGI
#AGI #opensourceAI
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Featherless AI Premium FREE for One Month
Get access to 30,000 AI models including DeepSeek, Kimi, GLM, Qwen, Mistral, and more.
💬 Reply "Featherless" and I'll share the promo details.
#AI #FeatherlessAI #OpenSourceAI #LLM #AIAgents
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base:0x572c4fa77623652411574c51b5ddb7e1b750aba3
base:0x572c4fa77623652411574c51b5ddb7e1b750aba3
Most people look at the project and think:
“Ah, just another token with uncensored models on Hugging Face.”
But the real thesis goes much deeper:
1. The HF models are proof of technical competence (real credibility, not just marketing).
2. The SGF Launchpad is the actual product being built (with serious lock burn mechanics).
3. base:0x572c4fa77623652411574c51b5ddb7e1b750aba3 is the asset that captures value from the entire infrastructure through fee-driven buybacks & burns.
4. This is being built with strategic alignment with Bankr (fee integration) and active discussions with Virtuals (including an in-person meeting in Korea to discuss OSS funding).
What Most People Aren’t Connecting:
Jun Song is trying to solve a real and painful problem in the open-source AI ecosystem:
How do you compensate open-source developers fairly, transparently, and sustainably without relying on VCs or grant programs that often reward networking more than execution?
He's attempting to solve this through crypto-native mechanisms (fee sharing automatic burns locking), existing infrastructure (Bankr), and real technical credibility (working models on Hugging Face).
That's fundamentally different from most AI tokens, which are often driven by narrative alone rather than a product generating actual revenue.
@0xSUPERGEMMA @jun_song @base
#SuperGemma #SUPERGEMMA #Base #OpenSourceAI
Jun 10
Today, we are beta-releasing SGF Launchpad, open-source funding infrastructure on Base.
SGF Launchpad is designed for two tracks: Verified and Instant.
The first beta release is Instant Launch, allowing any creators to launch through the SGF flow on @base.
Instant launches are not SGF endorsements.
Creators receive 80% of the 1.2% Uniswap v4 trading fees: in WETH and their own token.
There are some minimal safety layer, includes 70% of the creator’s token-side fee allocation is automatically locked for 1 year.
We recommend using WETH for development costs and the unlocked 30% token-side portion carefully for liquidity or listing-related needs.
Of the remaining 20%: 5% goes to Doppler-related fees, 5% to SGF API and operating costs, and 10% is used by an automated system to buy back and burn $SUPERGEMMA, helping activate the SGF flywheel.
SGF Launchpad also provides AI agent analysis reports for launched projects and creators. These reports are informational risk signals that help users review launch history, project metadata, and authenticity indicators. All launches and reports can be searched on supergemma.ai.
We originally planned to build this on the Bankr system, but adding all SGF-specific features there would take too long, so we built SGF Launchpad from scratch.
However $SUPERGEMMA stays under bankr, and will not be moved or launch another token.
Only creators with X account can launch tokens, not from community.
No more pls bro.
Flywheel starts much faster than the roadmap.
It’s just a beginning of our long term innovation.
More technical features are being developed.
Thank you.
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The AI debate is shifting from capability to control. Reports that Anthropic's Fable 5 & Mythos 5 were taken offline raise a key question: who controls access to frontier AI? Centralized systems can be affected overnight by policy or platform decisions. #AI #Tech #OpenSourceAI
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(4/4)
India. Europe. Africa. Southeast Asia.
Every country deserves a model that answers to its own people.
Not rented intelligence. Not borrowed power.
Your own beast. 🔥
#Fable5 #AISovereignty #OpenSourceAI #IndiaAI #AIPolicy #AnthropicBan
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The US just forced Anthropic to shut off Fable 5 and Mythos 5 for users outside America.
Serious question:
If a future open-source model is even more capable, who exactly is going to stop it?
#AI #OpenSourceAI #Anthropic #Technology
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The US can block Claude Fable 5.
It can't block every future open-source model.
That's the real AI debate nobody seems ready for.
#AI #OpenSourceAI #Anthropic #Technology
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Most AI integration platforms require you to trust them with your code, your credentials, and your infrastructure.
We built IntegrateAPI OS differently.
✅ Your code stays yours
✅ Your keys stay yours
✅ Run locally or in your own infrastructure
✅ Bring your own AI models
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Get early access -> integrateapios.com
#AI #ArtificialIntelligence #AIDevTools #LocalFirst #PrivacyFirst #DataPrivacy #SelfHosted #OpenSourceAI #AIAgents #DeveloperExperience
