Interview excerpt: FG on RnD: The advanced accelerated AI Approach and Testing18 Jan 2022 09:04
2ND PART CEO INTERVIEW (excerpt)
Source: Dec 5th-21
The ProActive Interview: 3orders of magnitude
FG on RnD: The advanced accelerated AI Approach
The most imminent statement on mining is CEO statement on AI approach. Current RnD work in progress on advanced accelerated AI techniques RnD approach results just weeks away early Q1-22.
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CEO: We are currently seeing extraordinary results from our AI Team, which means if we can incorporate those results into our chip, our chip could be100x, 1000x faster. I’m not saying we will be able to recieve this result, but our early indications are, our AI techniques will make the computational bitcoin mining algorithm even faster. 3 orders of magnitude.
(For example, something that is 2 orders of magnitude faster is 100 times faster, something that is 3 orders of magnitude faster is 1000 times faster).
CEO: I don’t wish to create false expectations, as this is RnD in progress, but if these results are confirmed we could even develop our mining system on our current mining existing commercial chips.
CEO: “We could I mean, we will be in a position to begin to mine as soon as begining of next year”
CEO: Our IT infrastructure is shipped to italy next week. Includes support infrastructure for RnD team. Our bitmining node. So we can start using our experimental algorithms ready for Q1 next year.
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Nov 5th-21
The Company’s new R&D IT infrastructure, which will also allow for “Bitcoin mining tests to be carried out”, will be operational in five weeks’ time. The wait has been due to the serious worldwide shortage of silicon chips, which is delaying the expected delivery of the hardware. However, the Company has adopted the heavy use of cloud resources in order to avoid any interruption in the R&D activities to the various groups.
(QBT hardware was upgraded x 2 - Refer to IT Infrastructure on QBTwebsite)
Dec 5th-21
While the 12nm prototype is still an easy and relatively low-cost option, which we may still use for strategic 'time-to-mine' testing and early mining.
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