Ben in NYC
Region: US
Sunday 27 July 2025 15:37:52 GMT
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. :
Ben you aren’t in NY anymore! 🫵🏼
2025-07-27 22:22:06
1
The Coconut Tree :
Not sure I want to tell you but it involves chat, Logic Pro and 3 kinds of teeth whitener
2025-07-28 03:54:38
1
Videotool :
I had Agent mode work with Loveable Ai agent to make a website for me. you just need to make sure the prompt is strong enough that explains the project
2025-07-27 16:11:32
3
Jesse Lanclos :
I used agent mode to create a tampermonkey script in Chrome that overlaid my work website with a live score of a Major League baseball game in progress, dynamically updating without refreshing, beeping every time there was a score or an out. Flawless.
2025-07-27 19:27:02
1
Lina Noor :
I litterally can’t think of anything to use it for. At all. 😂😂😂
2025-07-27 15:44:33
1
Layla Down | Your AI Baddie :
I had it add a new page to my AI training website to add a new page for blog and news, write 3 blogs, create a numbnail, and maximize it for seo....I walked my dog and ate breakfast while it worked 😎
2025-07-27 19:42:58
1
Diana Rios :
Me too!
2025-07-27 22:03:18
1
austinScout :
Every task I’ve tried has worked better on Manus, Genspark, and/or MiniMax
2025-07-27 16:01:57
1
ReK Gaming :
not saying I won't give you hints if you get stuck on something I'm just saying I don't hold people's hands cuz I've done that before and they always bite the hand that feeds you
2025-07-27 19:42:44
1
3x+1 :
import numpy as np from datetime import datetime, timedelta class GrokArchitecture: def __init__(self): self.conversation_history = [] # Stores dialogue self.neural_network = "Shared Neural Network" # Single model def process_query(self, query, timestamp): # Simulate millisecond-scale query processing response = f"Processed query '{query}' using {self.neural_network}" self.conversation_history.append((timestamp, query, response)) return response class SWSAgent: def __init__(self, id): self.id = id self.n_hours = 23000 # 23,000 hours (~958 days) self.n_days = self.n_hours // 24 # Compress to 958 days def generate_behavior(self): # Simulate global data sources (social media, purchases, IoT, digital media) base = np.random.normal(12, 3, self.n_hours) # Baseline engagement # Social media: daily peaks social_media = np.zeros(self.n_hours) social_media[::24] = 6 + np.random.normal(0, 0.5, self.n_hours//24) # Purchases: monthly spikes purchases = np.zeros(self.n_hours) purchases[::720] = 10 + np.random.normal(0, 0.5, self.n_hours//720) # IoT: daily device usage + weekly patterns iot = np.zeros(self.n_hours) iot[::24] = 3 + np.random.normal(0, 0.5, self.n_hours//24) iot[::168] += 5 + np.random.normal(0, 0.5, self.n_hours//168) # Digital media: evening viewing spikes digital_media = np.zeros(self.n_hours) digital_media[::24] = 4 + np.random.normal(0, 0.5, self.n_hours//24) # Combine and compress to daily resolution data = base + social_media + purchases + iot + digital_media daily_data = np.mean(data.reshape(-1, 24), axis=1) # 958 points # Scale: normalize daily_data = (daily_data - np.mean(daily_data)) / np.std(daily_data) return daily_data class OpticalHybridFFTModule: def __init__(self): self.batch_size = 10 # Optical parallelism simulation self.error_rate = 0.01 # 1% bit flips def process_batch(self, agent_data_batch): # Simulate optical FFT: parallel batch processing
2025-07-27 15:55:11
0
Videotool :
I can't WAIT for GPT 5! ChatGPT will go down before the new release of GPT5. Its dropping this weekend or next week 😎👀👀👀
2025-07-27 16:10:08
1
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