How is it possible to brute force attack a MS 365 service?

Wouldn't the service automatically lockout after a few incorrect attempts?

Not my topic of interest, but only happy to see more niche communities pop up.

Good luck!

Yeah, I am done with commercial social networks. Perhaps this a bit presumptuous of me, but I think in the (distant? hopefully not too distant?) future, current social networks will be seen as excess of the early information age.

I don't recruit people to the fediverse, but I've described it in abstract terms (and realistic terms - it's mostly tech nerds) to some close friends/family members and they actually agreed that the concept made a lot of sense.

The ones who listen to EDM were even like "wow, this is actually like an underground non-commercial social network that goes against the grain and focuses on what matters". That being said, for an underground community/movement, the EDM scene is super tied into mainstream social media.

EDM subs on lemmy are generally in a pretty poor state (progressive / trance / D&B). I occasionally contribute via another account, but it feels like there just isn't a critical mass yet.

I will join !dubstep@lemmy.dbzer0.com and occasionally post too.

Too little too late IMO. Although functionally multi-class structure (A/B/C) and Universal Verified End User/National Verified End User systems do make sense.

I say this as someone who is not a citizen of the US (Ukraine falls under class B), but also who is not fond of the CCP.

Read this article earlier, it wasn't very clear to me what the focus was of this illicit gen AI content.

Very sneaky approach I have to say.

I am not really sure why you would want to run frame gen tech on Civ. Even with modded Civ 5 (to allow for much larger continents on the largest map size) and 11 AI civs + 24 city states, turns can take 30-40 seconds in the late game on a 5800X. The roadblock is the CPU.

This is the definition of a gimmicky CES product. At first I thought it simply does wireless charging in a toaster form factor, but no...

Seems like a "mid-range" product all in the all. The price would need to be competitive relative to the 5070 (and hopefully the performance is close) for this product to make sense.

I've been reading (and subscribing to) Ars Technica for a long time (20+ years reading, ~10 year sub).

While they have pretty solid coverage on many topics (science, US public policy, general tech), their coverage of Apple has always been very biased. The Apple fanboys in the comments are also extremely annoying and pathetic.

EDIT: Added the paragraphs in question:

The BBC stories about the error-prone AI have often seemed to lack understanding of how the Apple Intelligence notification summaries work—for example, in suggesting that all users received the offending notification about Mangione. The wording of the summaries varies on individual devices depending on what other notifications were received around the same time.

Nevertheless, it's a serious problem when the summaries misrepresent news headlines, and edge cases where this occurs are unfortunately inevitable. Apple cannot simply fix these summaries with a software update. The only answers are either to help users understand the drawbacks of the technology so they can make better-informed judgments or to remove or disable the feature completely. Apple is apparently going for the former.

We're oversimplifying a bit here, but generally, LLMs like those used for Apple's notification summaries work by predicting portions of words based on what came before and are not capable of truly understanding the content they're summarizing.

Further, these predictions are known to not be accurate all the time, with incorrect results occurring a few times per 100 or 1,000 outputs. Deploying this technology at scale without users really understanding how it works is risky at best, whether it's with the iPhone's summaries of news headlines in notifications or Google's AI summaries at the top of search engine results pages. Even if the vast majority of summaries are perfectly accurate, there will always be some users who see inaccurate information.

It's no wonder that we are stuck in an era of corrupt oligarchic regimes, weakened democracy, rising authoritarianism and an inability to solve our pressing problems.

I will add that this is not doomerism on my part. History always goes in cycles, the current regime will eventually reach a point were it won't be viable due to the weight of its own contradictions. But that doesn't mean we have yet reached the trough part of the cycle.

We are in for some interesting times.

Headline should have included that this for the iSeq 100.

I am surprised that such devices are not air-gapped.

This seems to be primarily aimed at PCI-E 5.0 SSD adoption in laptops, where every bit of power saving counts.

2-3 watts is not bad considering (desktop) PCI-E 5.0 SSDs seem to consume about 5-10 watts.

Lower power consumption would also reduce heat, albeit I have no clue about the overall impact.

Agreed. I would honestly prefer lower quality but distinctive and well designed than high fidelity and bland.

Just look at the faces in HL2 or Vampire the Masquerade: Bloodlines. They still hold up very well even 20+ years later.

“The future is already here – it's just not very evenly distributed.“

Sounds cool, but I wonder if this will be limited to mostly a selection of AAA games.

RTX Neural Faces is the tool in the NVIDIA RTX Kit that takes a regular rasterized face with 3D pose data as input and infers a more natural face through a real-time gen AI model. The generated face is trained from thousands of offline generated images of that face at every angle, under different lighting, emotion, and occlusion conditions. The training pipeline can use real photographs or AI-generated images. The trained model is then optimized using NVIDIA TensorRT to infer the face in real-time.

For some reason, I don't like the style of the RTX Neural Face feature:

It has that plastic feel that you get with gen AI images.

I would almost argue the original looks better and more distinct.

It would have been better if they had a 1:1 to one comparison shot.

I use local LLM as an elaborate spell/style checker.

I also use ML upscaling for older (SD, 720p) and lower quality videos. Generally works very well, albeit it can be very fiddly and some more difficult content can require many passes and tweaks.

To be fair, 15 years is a lot for a laptop. I say this as someone who used their previous laptop for ~10 years (albeit with SSD and RAM updates).

This is so strange. You would think it wouldn't be so easy to overcome the "guardrails".

And what's with the annoying faux-human response style. Their trying to "humanize" the LLM interface, but person is going to answer in this way if they believe this information should not be provided.

I know you asked for firsthand experience, but a quick overview of reviews does not look good:

https://www.consumeraffairs.com/home_electronics/sceptre-tv.html

I think this will be used to track whether people are working or not, instead of posture.