Claude Fable 5 Just Cloned a $10B App in 2 Prompts in 45 min
Fable 5 spent 10 minutes just THINKING before writing a single line of code.
45 minutes later - a fully working clone
Fable just made your entire dev backlog irrelevant.
In 15 minutes he show 4 steps to clone any app
Bookmart it, you have 3 days to try it
ठाकुर का कुआं तुम खुद रहे थे और अपना कुआं नहीं खुद पा रहे थे, ये सब फर्जी कहानियां फैलाई गई की दलितों के पीछे मटकी, झाड़ू बांध कर घुमाया जाता है।
इन बातों का कहीं कोई प्रमाण नहीं है।
— अजीत भारती
"तुम अमेरिका में इस्लाम को नहीं रोक सकते। यह तुम्हारा देश नहीं, यह हमारा देश है। यह अल्लाह की ज़मीन है। अगर तुम ऐसी जगह रहना चाहते हो जहाँ कोई मुसलमान न हो, तो मेरा सुझाव है कि तुम जहन्नुम चले जाओ।"
अमेरिका मे ही रहकर अमेरिका वालो को जहन्नुम भेजनें वाला एक मौलवी.. 🤪
🚨 BREAKING
🇨🇳 CHINA JUST SOLD OFF ¥1.4 TRILLION OF U.S. TREASURIES
THE BIGGEST TREASURY DUMP IN 20 YEARS, RIGHT AS THE OIL CRISIS GETS WORSE
THIS DOES NOT LOOK LIKE RANDOM REBALANCING
LOOKS LIKE CHINA IS PREPARING FOR SOMETHING BAD
This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects.
He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined.
No cloud API, no connection to Anthropic or OpenAI servers, no internet at all.
Just a local Llama 3.3 70B on bf16 and his own orchestrator script.
The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes.
And he gave the orchestrator this system prompt before takeoff:
"You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%."
So the system knows exactly what resources it is running on.
It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands.
The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that.
And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint.
Here is what the system actually writes in his log during the flight:
"saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)"
"restored context checkpoint (pos_min = 488, pos_max = 50118)"
"prompt processing progress: n_tokens = 50 / 60 818"
"task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md"
Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost.
From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.
अमेरिका में हिन्दुफोबिया बढ़ रहा है।
हमे अमेरिका मेंं हिंदू-विरोधी भावना के खिलाफ खड़ा होना होगा।
मेरा राज्य जॉर्जिया...हिंदू-विरोधी नफरत की निंदा का प्रस्ताव पारित करने वाला...पहला अमेरिकी राज्य बना है।
: राजा कृष्णमूर्ति ज़ अमेरिकी कांग्रेसमैन
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छोटा अब्दुल: "मैं आपका गला काट दूंगा।"
टीचर: "तुम्हें यह सब किसने सिखाया?"
छोटा बच्चा : "मेरे पिता गला काटने के बारे में सीखते हैं। वे मुझसे कहते हैं कि मुझे मैडम का गला काट देना चाहिए।"
ये बच्चे नहीं हैं आतंक के पीले है
It's now confirmed. 43 to 45 Chineese soldiers were k!illed in the Galwan conflict, and Chinaa later shot propaganda videos in collaboration with Pakistani soldiers to project its victory.
JUST IN: 🇺🇸 US government orders Anthropic to suspend foreign access to Mythos Fable 5 AI model, citing national security concerns.
Anthropic has disabled access for all users worldwide.