Ethereum Price Prediction: ETH Stuck in Tight Range as Mutuum Finance (MUTM) Presale Stage 6 Enters Final Stretch
Ethereum's price action remains trapped in a frustratingly narrow band while Mutuum Finance's sixth presale phase approaches its conclusion.
The Consolidation Conundrum
ETH continues trading sideways, refusing to break from its current pattern despite market anticipation. The cryptocurrency's inability to establish clear directional momentum leaves traders watching consolidation patterns play out in real-time.
Presale Pressure Cooker
Meanwhile, Mutuum Finance's Stage 6 presale enters its final hours, creating parallel tension in the DeFi space. The timing couldn't be more dramatic—or more typical of crypto's coordinated chaos.
As ETH price action flatlines and MUTM's countdown ticks away, the entire ecosystem holds its breath. Because nothing says 'financial revolution' like watching digital assets mimic traditional markets' most tedious behaviors.
Bengio anticipates that machines will perform human tasks in nearly all disciplines
The question of whether and when AI will break through to deliver “artificial general intelligence,” which WOULD be capable of human-level performance, has become one of the defining disputes within the field.
Corporate discourse on AGI increased by 53% in early 2025 relative to 2024, a promising sign of increased focus on its future implications. Some of the most zealous voices on the topic expect AGI within two years; skeptics predict it will take generations.
According to some of the field’s most influential figures, AGI will unfold gradually, not all at once. For starters, Meta’s LeCun commented, “It is not going to be an event because the capabilities are going to expand progressively in various domains.”
Huang also suggested that they had already crossed that threshold, but emphasized that the debate itself is largely academic.
However, these leading AI figures are divided on the question of whether AI will ultimately surpass human ability in all fields.
According to Fei-Fei Li, CEO of World Lab, in certain respects, AI systems have already surmounted human abilities. She provided examples, such as image recognition, where machines can distinguish thousands of objects, and translation, where they can handle around 100 languages.
Geoffrey Hinton, who earned the Nobel Prize in Physics last year with U.S. researcher John Hopfield for their influential contributions to machine learning, remarked, “How long before you have a debate with a machine, and it will always win?” adding that this may be achieved in the next two decades.
Canadian AI pioneer Yoshua Bengio said he believes that, in principle, machines will one day be capable of performing almost anything people can.
However, he admits that they are far from this point. He cautioned against overconfidence in the future of AI, urging neutral observation, as there is a large spectrum of potential outcomes possible for these systems.
King Charles cautioned against “bad actors” in the AI industry
When speaking to the recipients of the awards, King Charles mentioned the problematic presence of bad actors and the rapid emergence of various technologies. Prof. Li even told the press that her conversation with the King focused on ensuring that the technology was used for good, while also considering the risks associated with it.
She said that AI is a powerful tool, but, like any powerful technology, it has both positive and negative aspects. Prof. Li noted that AI could bring significant benefits to healthcare, education, and manufacturing.
“However, it presents growing dangers, including unemployment and various impacts across industries, as well as the potential rise of deepfakes or decision-making being handed over to machines on a large scale,” she added.
Sharpen your strategy with mentorship + daily ideas - 30 days free access to our trading program
