They just rolled out millions in new fiber lines in my area. I had them for internet since 2018, moved out of their area, and now I am in their area getting their service again.
You are incorrect about that stagnation. Google has breathed new life into fiber offerings.
The US fucked up hard on its killing of civilians, but MODT of the time it was at least a result of supporting direct ground combat where friendly forces were engaged. At least that was true from weeks after the initial invasions of Iraq and Afghanistan.
Israel is tossing bombs at targets, using the most advanced aircraft in the world… and their ground forces are not within 10 miles of the site.
That’s what makes this inexcusable. They had time. They didn’t have ground forces under threat. Every vehicle isn’t an IED waiting to happen yet. They have the time to check for authorization before letting a JDAM off the rails.
The right to defend has to come with purse string implications if they use it as right to kill without mercy. They do this, we cut funding. They do it more, in clearly not accidental strikes, we impose sanctions. The purse will hurt enough due to their reliance on western arms, that they change lest they not be able to drop bombs at all.
It’s one thing to have a legit terror target and mistake the building or some freak accident. It’s another to drop a bomb on a refugee camp and then simply shrug.
Somehow?
A dark coffee has up to ~40 mg of caffeine.
This was nearly 400.
I would say being off by 10X is pretty fucking misleading.
This is the point.
The location.
In question.
Did not.
Properly label.
The contents.
This will be a shock to some of you, but the practices of a multimillion dollar franchise across many states can in fact have deviation at one location. People’s experience at locations since the event, at locations other than where it occurred, is not a sum guarantee of what happened at the time of this incident and location.
She knew she had the condition and avoided high caffeine drinks.
She did not know about the caffeine content, 390mg in the large lemonade, due to poor labeling by Panera. This one drink is 10mg less than the maximum daily dose for HEALTHY person according to the FDA.
Given the lack of consuming any other caffeine products regularly due to her knowing about their impact on her heart, it is not a leap to say the lemonade was the culprit.
Further, the lawsuit alleges harm, even if not the sole cause of death, from their product due to not making it clear to the buyer that contents has so much caffeine.
According to coffeechemistry.com, one liquid ounce of espresso can have anywhere between 30 and 50mg of caffeine. That means that a double shot will likely have anywhere between 60 and 100mg.
She bought a lemonade, without caffeine labeling, that contained 8 shots of espresso in caffeine. Cause of death or not, the legal culpability and reasonable expectation that this would not be in its contents is clear as day.
This will never go to trial.
This guy gets it
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding: https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/
High-resolution image reconstruction with latent diffusion models from human brain activity: https://www.biorxiv.org/content/10.1101/2022.11.18.517004v3
Semantic reconstruction of continuous language from non-invasive brain recordings: https://www.biorxiv.org/content/10.1101/2022.09.29.509744v1
A large language model took a 3 second snippet of a voice and extrapolated from that the whole spoken English lexicon from that voice in a way that was indistinguishable from the real person to banking voice verification algorithms.
We are so far beyond what you think of when we say the word AI, because we replaced the underlying thing that it is without most people realizing it. The speed of large language models progress at current is mind boggling.
These models when shown FMRI data for a patient, can figure out what image the patient is looking at, and then render it. Patient looks at a picture of a giraffe in a jungle, and the model renders it having never before seen a giraffe… from brain scan data, in real time.
Not good enough? The same FMRI data was examined in real time by a large language model while a patient was watching a short movie and asked to think about what they saw in words. The sentence the person thought, was rendered as English sentences by the model, in real time, looking at fMRI data.
That’s a step from reading dreams and that too will happen inside 20 months.
We, are very much there.
His point, which seems pedantic, but isn’t, is to illustrate the specific attack vector.
Breaking encryption would mean that the cryptographic process is something that an attacker can directly exploit. This is as close to impossible as it gets in that line of work.
While you can compromise the effectiveness of encryption by subverting it using other attack vectors like man in the middle or phishing or the good old fashioned physical device access, these don’t break the algorithm used in a way that it makes it vulnerable to decrypting other data.
None of those mean an algorithm used like say the ole Two fish encryption is “broken”.
Blowfish Triple DES Twofish RC4 Etc. All are fine and not currently broken. All however cannot protect your data if some other attack vector companies you or your site’s security.