BlackRock moving BTC to exchanges signals a potential spike in selling pressure as clients offload their BTC ETFs. This could lead to increased volatility in the market. Keep an eye on the implications for overall sentiment. #BTC $BLK
The Synnax Mid-Cap AltCoin Index finished May 3-10 up roughly 13%, decisively leading every asset on the chart. The NASDAQ was a distant second near +4.5%, Bitcoin $BTC closed around +2.5%, the S&P 500 finished near +2.3%, and Gold gained about +2.0%. Ethereum $ETH and the Dow Jones lagged the risk rally, ending only slightly positive.
The move was a staged breakout rather than a slow grind: the index was flat early, jumped to about +6% by May 6, consolidated near +9%-10%, and then pushed toward +13% into May 9-10. The macro tape supported risk appetite, with Reuters reporting record highs for the S&P 500 and NASDAQ as AI-chip momentum, strong earnings, and a better-than-expected April jobs report outweighed renewed U.S.-Iran and Strait of Hormuz oil-risk headlines. In crypto, Bitcoin $BTC kept an institutional and regulatory bid around ETF demand and the upcoming CLARITY Act markup, but the chart says the cleaner impulse was a catch-up bid for liquid alt beta while Ethereum $ETH stayed weighed down by restaking and DeFi-security overhang.
> but it opens the door to data harvesting
nope, actually makes it harder
> unintended CPU/GPU processing
not really? if you don't use the AI feature, then it wouldn't be run.
> expands on crowdsourcing training for its AI models by shifting compute from data centers to your PC
no, that is technically incorrect. there's no piecemeal federated training for LLMs.
> it's another if they installed it but didn't tell you
there's a lot of stuff chrome does without telling you. update video and compression codecs, update JS runtime, add features.
> Trust will erode when companies do this type of thing
this type of thing being - adding contemporary features?
@Clever_Blender@wannabewyvern@Pirat_Nation so this is something i don't understand then in your stance: Google spends resources serving a 4gb file to millions of users while at the same time making stealing your data actually harder for themselves.
have you tried it recently? that’s just not the reality of it for quite some time now.
LLMs write significantly better code than an average software developer; and much faster.
research and summarization is completely commoditized by LLMs. tasks that used to take days can now be done in parallel in 20 minutes. and most likely in better quality.
you are jumping between terms “model” and “agent”. “local model = privacy” is a 100% true statement.
in agentic workflows there is no “shifting risks to device” - nothing changes really: whether the model is local or remote, the agent is local.
there’s no additional data to harvest by shifting the model locally. if their goal is to collect data, this update makes it harder: with a remote model, you send EVERYTHING to google, and they can do whatever they want with it. with local model, you can’t get away with sending everything as easily. what’s the point then?
of course it’s a useful feature. and you will use it without even noticing it, same as your photos app on your phone has tons of ai that you don’t notice but use. most stuff that you use daily has invisible ai in it.
are you just triggered by anything related to ai? I’m curious, that’s an interesting phenomenon to me: rejecting something that is genuinely useful and unintrusive just because of its novelty.
what OS do you use on your laptop and phone?