Fusion • (33.3%) (@akCASA) header
Fusion • (33.3%) (@akCASA) profile picture

Devops Engr, Data analyst with a flare for Web3Taxation 📊. Founder and grower of FreedomFightersNFT.

Canada
Joined May 2010
Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)Photo by Fusion • (33.3%) (@akCASA)
Happy birthday to Peter Obi… A candle in the wilderness for anyone still daring to hope. Thank you for your light.
2
329
Moving forward... that's a skill set i resonate with always
141
"Diego Diego" loved that chant so much!
146
Bye Jota ❤️❤️ You were exceptional!
153
I would definitely unmute you ... I'm here for this 🔥🔥
130
"I have friends everywhere"
1
210
With scars sometimes, the flesh is healed... but the wound remains
56
Nothing fires me up like scoring against my Opps #ThursdayNightFootball
57
Thank you @frankdegods. That's the tweet... Thank you 🙏!
1
1
133
#ThursdayNightFootball i missed a sitter at the very end ☹️... I blame my new boots ...
41
I really really enjoyed playing football tonight. I'm glad for every single day I get to play 🙏
55
Fusion • (33.3%) retweeted
**Jevons Paradox** is an economic concept introduced by William Stanley Jevons in the 19th century. It posits that improvements in the efficiency of resource use often lead to an *increase* in total consumption of that resource, rather than a decrease. This occurs because enhanced efficiency lowers the cost of using the resource, incentivizing greater demand and broader applications. A classic example is coal use during the Industrial Revolution: more efficient steam engines reduced coal consumption per unit of work but made steam power economically viable for more industries, ultimately increasing overall coal demand. ### **Connection to DeepSeek's AI Breakthrough** DeepSeek's recent advancements in AI—such as developing more efficient algorithms or energy-saving computational methods—could exemplify Jevons Paradox in action. Here’s how: 1. **Efficiency Gains**: If DeepSeek’s AI achieves tasks (e.g., data processing, model training) with fewer computational resources or energy per task, this reduces the marginal cost of AI deployment. 2. **Increased Adoption**: Lower costs and improved accessibility may drive widespread adoption across industries. For instance: - Startups and smaller firms might now afford AI tools previously limited to tech giants. - New applications (e.g., real-time analytics, personalized services) could emerge, expanding AI’s use cases. 3. **Rebound Effect**: While individual tasks consume fewer resources, the surge in total usage—more users, more applications, and more complex tasks—could lead to a net *rise* in energy or computational resource consumption. For example: - Proliferation of AI-driven services might increase demand for data centers, offsetting per-unit efficiency gains. - Industries might integrate AI into workflows at scale, multiplying resource use. 4. **Policy Considerations**: Jevons Paradox is not inevitable. Strategic measures like energy caps, carbon pricing, or efficiency standards could mitigate rebound effects. However, the paradox highlights the need to anticipate unintended consequences of technological progress. In summary, DeepSeek’s breakthrough illustrates how efficiency-driven innovations can paradoxically escalate resource consumption by fueling demand. This underscores the importance of balancing technological advancement with sustainability strategies to avoid negating environmental or economic benefits.
1
2
202
Fusion • (33.3%) retweeted
Believe when no one else believes
1
6
34
1,135
Watching Funmilayo Ransom Kuti shows how much of our history is hidden / isn't highlighted... and I'm starting to know why.
220
Fusion • (33.3%) retweeted
POV: When you go all in because your friend tells you it’s alpha, and the dev rugs minutes after you buy.
173
80
23
610
122,632