AI-focused cryptocurrencies are gaining traction, evidenced by the recent 6% rally in Fetch.ai’s (FET) price following its partnership with SingularityNET (AGIX).
This collaboration is evidence of the growing combination of AI and blockchain technology, which many investors believe could bring a new era of innovation to the crypto market.
With AI cryptos becoming increasingly popular, could the soon-to-launch yPredict (YPRED) be the next project to rally?
Fetch.ai & SingularityNET Join Forces to Revolutionize AI
The recent strategic partnership announcement between leading AI cryptocurrencies Fetch.ai and SingularityNET has given a massive boost to Fetch.ai’s native FET token.
This collaboration aims to tackle two major AI challenges – overcoming hallucinations in large language models (LLMs) and enhancing multi-step reasoning using decentralized infrastructure.
Likely fueled by speculative interest, FET rallied 6% in 24 hours following the news, with the token now up 22% over the past week.
Fetch.ai and SingularityNET’s partnership is focused on developing next-gen AI that is more accurate, transparent, and aligned with human values.
By combining their expertise, Fetch.ai and SingularityNET hope to accelerate research into critical areas like reasoning and natural language processing.
If successful, more reliable AI systems could emerge from this collaboration, further validating Fetch.ai and the value of its FET token.
As such, the recent FET price pump signals that traders see potential in this partnership to advance AI technology meaningfully.
Fetch.ai’s Innovative Technology Positions It for Continued Growth
Behind the recent price surge following the SingularityNET partnership lies Fetch.ai’s innovative technology and expanding ecosystem.
Fetch.ai operates a decentralized network that utilizes AI and blockchain technology to power autonomous software agents capable of executing tasks.
These agents, which leverage machine learning for optimization, can automate processes and reduce data monopolies across industri
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Author: Felix Mollen