Microsoft | Principal Applied Scientist Manager and Principal Applied Scientist | Redmond, WA or Mountain View, CA; NYC possible | ONSITE, REMOTE possible | https://careers.microsoft.com
At Microsoft AI's Ad Engineering Team, we're growing rapidly and seeking talented individuals who are passionate about AI and advertising technology. My group currently has open positions for two roles:
Though the roles are based in Redmond, WA, and Mountain View, CA, candidates from NYC are also encouraged to apply as remote work is an option. The roles involve leading developments that drive innovations across our advertising technology stack, leveraging large-scale machine learning algorithms, deep learning, NLP, and computer vision to enhance both user and advertiser experience.
We offer competitive salaries (see job descriptions for ranges and geo-based adjustments) and comprehensive benefits.
If you're interested in using recent advances in cloud computing and large language models to make impactful changes in the ad industry, apply with the above links and optionally DM me on linkedin (https://bit.ly/4aYTdPx) to make sure your resume gets seen.
Microsoft is committed to empowering every person and every organization on the planet to achieve more. Join us!
> "Constitutional AI isn’t free energy; it’s not ethics module plugged back into the ethics module. It’s the intellectual-knowledge-of-ethics module plugged into the motivation module."
while 'what is ethical' is a broad, difficult, multifaceted question, applying the model's 'intellectual' world model (that it's built from everything it's read) to it's motivation/training reward at least doesn't seem to collapse the nuance of the question.
And for sure, if the model's 'world understanding' is limited when it comes to [constitutional principle x] that will impact/limit the extent to which it gets closer to behaving according to a nuanced understanding of [constitutional principle x].
To anyone who may be pasting code along the lines of 'convert this sql table schema into a [pydantic model|JSON Schema]' where you're pasting in the text, just ask it instead to write you a [python|go|bash|...] function that reads in a text file and 'converts an sql table schema to output x' or whatever. Related/not-related--great pandas docs replacement is another great+safe use-case.
Point is, for a meaningful subset of high-value use-cases you don't need to move your important private stuff across any trust boundaries, and it still can be pretty helpful...so just calling that out in case that's useful to anyone...
thanks for providing those sources, but I still think it's important to acknowledge that the claims you made are heavily disputed
what you stated were your conclusions (which may or may not be true):
- that the dossier was paid opposition research is not disputed, what is disputed is the veracity of its contents. Nothing in the link you shared suggests it was confirmed fake. In fact, many of the claims made in the dossier have been corroborated by subsequent investigations.
- On the other hand, while the the Hunter Biden laptop (also opposition research) has been authenticated, the veracity of the claims made about it are still in question, and many media outlets declined to run the story due to a lack of supporting evidence.
- Another difference to highlight is that Christopher Steele was an experienced professional who followed standard journalistic practices to protect his sources, etc., whereas Rudy Giuliani's handling of the Hunter Biden laptop (to put it very lightly) has been criticized as unprofessional and lacking in evidence.
- I'm not saying that bias in media coverage doesn't exist, but news organizations have a responsibility to verify stories with evidence before publishing them. It's also worth noting that the burden of proof is higher for claims that are "difficult to verify, yet easy to fake" (So it's not surprising that some stories are given more attention than others depending on the strength of the evidence supporting them)
I just want to point out that some of the statements in your comment seem to be presented as facts when they are actually heavily disputed.
> "a cartel of traditional and social media companies worked with the FBI and intelligence agencies to push a false narrative (the fake Steele dossier, paid for by the Hillary Clinton campaign)"
- while there are differing opinions on the veracity of this claim, it's important to consider the potential implications if it were true. If it were true, it would suggest that the President was compromised and had a conflict of interest between his personal vs the national interest, which is a serious concern.
- Additionally, there are many other instances where the President's conflicts of interest have been on display, such as his actions in Helsinki and his use of the presidency to enrich himself and his associates.
> "and to suppress a major story about corruption by a Presidential candidate (Hunter Biden's laptop)"
- It's worth noting that this claim was heavily promoted by the Trump campaign and lacked substantial evidence.
- And even if the worst version of these claims were true, they would be minor in comparison to other serious allegations against the former President, such as the Zelensky quid pro quo and the use of taxpayer dollars to benefit his businesses.
--
(I'd also add to the broader discussion that)
- While it's true that Western media has made mistakes and increased the spread of divisive content, the narratives about China and Russia are often rooted in solid ideological (or at least mostly self-consistent) principles, such as anti-authoritarianism and free speech.
- The real issue with our media, in my opinion, is its role in amplifying domestic right vs. left divisiveness, which weakens the United States in the world, and is tearing our society apart.
> Nobody is going to use a chat-bot if it is (a) constantly trying to sell you something or (b) going to give you biased results that are influenced by advertising spend
I guess this is something that Google/search engines and other media like podcasts have had to navigate.
While it's not obvious how to best do it in this interface, I dunno, you still have a whole browser window to work with and the search engine solution (show the ads separately and labeled at the top) and the podcast solution (read the ads separately and clearly labeled) weren't super imaginative and seem to be working okay. Gmail ads on the right margin is maybe another example to point to.
I imagine there are probably plenty of UI things to experiment with that don't involve masking the advertisement as expert advice.
But yeah while this is all being sorted out I imagine it shrinks the monetizable surface of search a good bit.
I guess it's uncomfortable to accept that all choices you make DO have some sort of opportunity cost, and I guess I am not too surprised by the backlash against this 'college kid' on this thread. But I think the point he makes is worth raising and reflecting on (and maybe if you focus on temperance and not abstinence, it's a little easier to consider).
I think one could complain that the author doesn't credit some of the positives/educational or artistic value in video media (then again, netflix's 'hit engineering' is not necessarily optimizing for those if they don't increase addictive engagement) and that maybe he should consider reading and reflecting on things like Bertrand Russell's essay, [In Praise of Idleness](https://harpers.org/archive/1932/10/in-praise-of-idleness/)
But anyhow, after you finish the Mandalorian, reflect on how much you liked it maybe, and then reflect on what it cost you. If you aren't working on a cure for cancer or something, maybe it was in budget, but asking the question either way seems like a good practice to consider adopting
"Google's mission is to organize the world's information and make it universally accessible and useful"
(didn't dig too far into this but..) why y'all need to patent this then?
Patents can be beneficial to facilitate constructive competition, but think humanity is best served by neural nets becoming the new electricity rather than the new Apple-esque walled-garden...
I'm familiar with the implications of quantum computing on factorization and thus DEcryption but have heard very little about about quantum computing enabling ENcryption until the last paragraph of this article
("...Chuang expects to see quantum encryption methods that will inscribe sensitive data into the very states of atoms")
Very curious about current state of this research (relative to the current state of quantum decryption)--any experts in the room?
there seems to be a large group of cs folks who are very out of touch with the fact that we currently are able to build computational systems that replicate regions of cortex (visual cortex, auditory cortex). It's not general intelligence or superintelligence--really dumb animals can see and hear. And there's a lot more to cognition than simply converting external signals into meaningful representations. But I think it's pretty arguable that deep neural nets (or maybe networks of DNNs) DO represent an architecture sufficiently powerful for strong/general AI to develop. And if you can venture far enough to imagine computational systems on non-von-neumann architectures, you might conclude that the level of abstraction that Bostrom is operating around to describe computation isn't total nonsense
At Microsoft AI's Ad Engineering Team, we're growing rapidly and seeking talented individuals who are passionate about AI and advertising technology. My group currently has open positions for two roles:
1. *Principal Applied Scientist Manager* [Apply here](https://jobs.careers.microsoft.com/global/en/job/1681254/)
2. *Principal Applied Scientist* [Apply here](https://jobs.careers.microsoft.com/global/en/job/1696716/)
Though the roles are based in Redmond, WA, and Mountain View, CA, candidates from NYC are also encouraged to apply as remote work is an option. The roles involve leading developments that drive innovations across our advertising technology stack, leveraging large-scale machine learning algorithms, deep learning, NLP, and computer vision to enhance both user and advertiser experience.
We offer competitive salaries (see job descriptions for ranges and geo-based adjustments) and comprehensive benefits.
If you're interested in using recent advances in cloud computing and large language models to make impactful changes in the ad industry, apply with the above links and optionally DM me on linkedin (https://bit.ly/4aYTdPx) to make sure your resume gets seen.
Microsoft is committed to empowering every person and every organization on the planet to achieve more. Join us!
Applications close on May 14, 2024.