:(
Renegade
joined 2 years ago
Is there a charater sheet template/example?
Unciphered has successfully performed recovery of wallets generated using BitcoinJS derived software. In such cases, we have typically had to perform 48 bits of work.
So basically BitcoinJS had something wrong with its random number generator, but the article doesn't provide any details on what that might be.
Edit; better source
I think its supposed to be more like, the builders sent the protomolecule to terraform any planets with life. They are the filter. Earth escaped because the protomolecule unexpectedly was trapped by Phoebe. I am not sure the builders are hiding so much as paving over everyone else.
Internal messages revealed employees were well aware they were misleading customers in the wake of the discovery of the Orion vulnerability ... [Brown] messaged a colleague 'Well, I just lied.'"
The SEC further accused Brown of selling inflated SolarWinds stocks before its value plummeted once the full impact of the compromise became public. Between February 2020 and the end of August 2020, Brown sold 9,000 shares of SolarWinds at a profit of $170,000
Seams to be pretty heavily biased toward popular tv-ma original dramas.
The actual paper (emphasis mine):
In 2021, Google’s total electricity consumption was 18.3 TWh, with AI accounting for 10%–15% of this total.2 The worst-case scenario suggests Google’s AI alone could consume as much electricity as a country such as Ireland (29.3 TWh per year), which is a significant increase compared to its historical AI-related energy consumption. However, this scenario assumes full-scale AI adoption utilizing current hardware and software, which is unlikely to happen rapidly. ... A more pragmatic projection of worldwide AI-related electricity consumption could be derived from NVIDIA’s sales in this segment. Given its estimated 95% market share in 2023, NVIDIA leads the AI servers market. The company is expected to deliver 100,000 of its AI servers in 2023.10 If operating at full capacity (i.e., 6.5 kW for NVIDIA's DGX A100 servers and 10.2 kW for DGX H100 servers), these servers would have a combined power demand of 650–1,020 MW. On an annual basis, these servers could consume up to 5.7–8.9 TWh of electricity. Compared to the historical estimated annual electricity consumption of data centers, which was 205 TWh,2 this is almost negligible.
The article:
de Vries has analyzed trends in AI energy use and predicted that current AI technology could be on track to annually consume as much electricity as the country of Ireland (29.3 terawatt-hours per year.)
Headline doesn't match the article.
Got to say I especially don't get the environmental part. Generative ai is not crypto currency mining.
These are hardware attacks that require physical accesss. Its not super surprising that physical access allows for exploit, given the state hardware is in today.