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| *pi__ is now known as techrights-sec6 | Oct 31 05:29 | |
| schestowitz[TR2] | https://www.thelayoff.com/t/1m67dj2g9 | Oct 31 05:44 |
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| -TechBytesBot/#techbytes- ( status 403 @ https://www.thelayoff.com/t/1m67dj2g9 ) | Oct 31 05:44 | |
| schestowitz[TR2] | ": | Oct 31 05:44 |
| schestowitz[TR2] | my 2c | Oct 31 05:44 |
| schestowitz[TR2] | folks, the news about the early retirement should be a wake-up call for everyone in tech. that's roughly a third of the workforce, and whether it's voluntary exits or layoffs, the message is clear. msft and other companies are looking for ways to cut costs while pouring billions into AI & data centers (and automation). I think this trend is only going to accelerate. | Oct 31 05:44 |
| schestowitz[TR2] | my 2 c... first know your severance package and exactly how long you can survive without a paycheck. second keep at least 6 mo of living expenses saved. 3rd update your resume and linkedin NOW, not after you get laid off. finally start building your prof network outside your co. talk to people and contribute to open source, share your projects on github (very iportant), and build some credibility before you actually need it. | Oct 31 05:44 |
| schestowitz[TR2] | stop collecting useless certs and start building real AI projects. build something - a RAG app, an agent, or some automation thatsolves a problem. employers want to see what you can do not just what courses you've completed. Having a solid portfolio and knowing the right people can make a huge differnce when you're suddenly looking for work. | Oct 31 05:44 |
| schestowitz[TR2] | if you're on H1B, you need to take this even more seriously, you don't just risk losing your paycheck, you risk uprooting your entire family or whoever depends on u: your kids, your home, your immigration status, everything can be affected. i'd say put 10x the effort into networking, saving money, and preparing backup options. don't assume your co will protect you. the biggest mistake is thinking you'll deal with all this when it h | Oct 31 05:44 |
| schestowitz[TR2] | appens. by then you're already behind. the job market is changing FAST, and being loyal to one company isn't a career startegy anymore. Build your options now!!! even if your job feels completely secure. not trying to scare anyone, just sharing some practial advice. | Oct 31 05:44 |
| schestowitz[TR2] | the uncertaintity in tech isn't going away anytime soon and being prepared is a lot better than scrambling after getting that unexpected meeting invite. | Oct 31 05:44 |
| schestowitz[TR2] | 'https://www.thelayoff.com/t/1m67ckvnz | Oct 31 05:44 |
| -TechBytesBot/#techbytes- ( status 403 @ https://www.thelayoff.com/t/1m67ckvnz ) | Oct 31 05:44 | |
| schestowitz[TR2] | " | Oct 31 05:44 |
| schestowitz[TR2] | Starting at Microsoft in 2 Wks. Should I Be Worried About Layoffs? | Oct 31 05:44 |
| schestowitz[TR2] | I'm scheduled to start a new role at Microsoft in Ireland in two weeks, working on an AI-related project. Ive already signed my offer letter + contract. | Oct 31 05:44 |
| schestowitz[TR2] | With the recent voluntary buyout announcement and ongoing concerns about layoffs, I'm starting to wonder how secure my position really is. Is there a realistic chance of being laid off shortly after joining, or am I overthinking this? | Oct 31 05:44 |
| schestowitz[TR2] | Anyone at Microsoft have insight into how new hires are typically affected during layoffs? | Oct 31 05:44 |
| *psydruid (~psydruid@jevhxkzmtrbww.irc) has left #techbytes (Error from remote client) | Oct 31 07:35 | |
| schestowitz[TR2] | " | Oct 31 07:53 |
| schestowitz[TR2] | checking | Oct 31 07:53 |
| schestowitz[TR2] | a lotof the traffic is from bots but I am not sure how much | Oct 31 07:53 |
| schestowitz[TR2] | the names are always changing and not all identify themselves though | Oct 31 07:53 |
| schestowitz[TR2] | so details are elusive | Oct 31 07:53 |
| schestowitz[TR2] | returning to an old question: do you have reasonable (i.e. non-PayPal) options | Oct 31 07:53 |
| schestowitz[TR2] | to receive donations? | Oct 31 07:53 |
| schestowitz[TR2] | " | Oct 31 07:53 |
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| schestowitz[TR2] | https://www.thelayoff.com/t/1m67ckvnz#replies | Oct 31 15:38 |
| -TechBytesBot/#techbytes- ( status 403 @ https://www.thelayoff.com/t/1m67ckvnz#replies ) | Oct 31 15:38 | |
| schestowitz[TR2] | " | Oct 31 15:38 |
| schestowitz[TR2] | Are you under 35? | Oct 31 15:38 |
| schestowitz[TR2] | if yes than worry less | Oct 31 15:38 |
| schestowitz[TR2] | 40 minutes ago by Anonymous | Oct 31 15:38 |
| schestowitz[TR2] | | no reactions | Reply | Oct 31 15:38 |
| schestowitz[TR2] | Post ID: @d7+1m67ckvnz | Oct 31 15:38 |
| schestowitz[TR2] | 0 | Oct 31 15:38 |
| schestowitz[TR2] | yes | Oct 31 15:38 |
| schestowitz[TR2] | 3 hours ago by Anonymous | Oct 31 15:38 |
| schestowitz[TR2] | | no reactions | Reply | Oct 31 15:38 |
| schestowitz[TR2] | Post ID: @cs+1m67ckvnz | Oct 31 15:38 |
| schestowitz[TR2] | 0 | Oct 31 15:38 |
| schestowitz[TR2] | Don't panic, but be careful: | Oct 31 15:38 |
| schestowitz[TR2] | I would suggest to keep your resume out there until your start date. Should you get an interview with another company, at least take that interview. If they ask you if you have any open offers, be forthright with them. They ought to understand your plight - all techies are concerned about this these days. | Oct 31 15:38 |
| schestowitz[TR2] | Your boss at Microsoft may possibly be getting laid off. This could make your employment chaotic. You could end up working for someone who's department has no use for you, or would've to trim his/her department's budget, or already has someone with your skill set (not saying they'd get rid of you immediately, but it may be on their roadmap), or who may not have hired you in the first place. | Oct 31 15:38 |
| schestowitz[TR2] | Is your job a newly-created position or a backfill (replacing someone who quit/retired/fired?)? Maybe too late to find this out now, but generally an ok question to ask during an interview - but keep that topic to just one question... they don't want to discuss why someone quit or was fired. | Oct 31 15:38 |
| schestowitz[TR2] | " | Oct 31 15:38 |
| schestowitz[TR2] | https://www.thelayoff.com/t/1m5xmawk0#replies | Oct 31 15:39 |
| -TechBytesBot/#techbytes- ( status 403 @ https://www.thelayoff.com/t/1m5xmawk0#replies ) | Oct 31 15:39 | |
| schestowitz[TR2] | " | Oct 31 15:39 |
| schestowitz[TR2] | Microsoft achieved record annual revenue and net income in fiscal year 2026. | Oct 31 15:39 |
| schestowitz[TR2] | Fiscal Year 2026 Financial Results | Oct 31 15:39 |
| schestowitz[TR2] | • Total Revenue: $331.84 billion (up from $281.72 billion in FY 2025) | Oct 31 15:39 |
| schestowitz[TR2] | • Net Income (Profit): $133.75 billion (up from $101.83 billion in FY 2025) | Oct 31 15:39 |
| schestowitz[TR2] | All that money is for the CEO and his pals (that include corrupt politicians & their friends) not you American workers who invented and created the tech industry. | Oct 31 15:39 |
| schestowitz[TR2] | 1 hour ago by you-are-being-played | Oct 31 15:39 |
| schestowitz[TR2] | | no reactions | Reply | Oct 31 15:39 |
| schestowitz[TR2] | Post ID: @y4+1m5xmawk0 | Oct 31 15:39 |
| schestowitz[TR2] | +7 | Oct 31 15:39 |
| schestowitz[TR2] | The buyouts are the "friendly" first pass. If they don't reach the 60K the second pass will be the forceful process and people will get laid off. Either way they will reach the target. | Oct 31 15:39 |
| schestowitz[TR2] | 4 days ago by Anonymous | Oct 31 15:39 |
| schestowitz[TR2] | | 7 reactions (+7/-0) | Reply | Oct 31 15:39 |
| schestowitz[TR2] | Post ID: @c8+1m5xmawk0 | Oct 31 15:39 |
| schestowitz[TR2] | +3 | Oct 31 15:39 |
| schestowitz[TR2] | No worries. The products will take care of themselves because AI Super Intelligence is here and the Singularity is near! | Oct 31 15:39 |
| schestowitz[TR2] | (Copilot has been performing admirably in this role so far, if you haven't noticed!) | Oct 31 15:39 |
| schestowitz[TR2] | " | Oct 31 15:39 |
| schestowitz[TR2] | https://news.ycombinator.com/item?id=49991215 | Oct 31 15:58 |
| schestowitz[TR2] | " | Oct 31 15:58 |
| schestowitz[TR2] | spottedmarley 24 days ago | next [–] | Oct 31 15:58 |
| schestowitz[TR2] | 'Plagiarism' is an overreach. An LLM works a lot like the human brain does in terms of how it gathers its ideas for what to output, just like people do. When you write or create art, your ideas are a synthesis of everything you've experienced externally, directed and focused by the context of what it is you are looking to create/output. Nothing in your head is more original than what an LLM might produce. If you hadn't listened to | Oct 31 15:58 |
| schestowitz[TR2] | music composed by other composers for most of your life you wouldn't be able to generate a new composition and neither would an LLM. Are you plagiarizing when you write a new composition because you listened to famous composers and practically memorized their music over your training run (your life)? I'd say no. Plagiarism is more like the intentional act of copying work instead of doing your own synthesis. | Oct 31 15:58 |
| schestowitz[TR2] | Is a painter who was trained on Van Gogh or Salvador Dali plagiarising those artists when their own work shows influences of their work? Meh, I dont think so | Oct 31 15:58 |
| schestowitz[TR2] | Is Greta Van Fleet plagiarising Led Zepplin? Some would say so out of distaste but it's not an actual fact. | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | vincent-uden 24 days ago | parent | next [–] | Oct 31 15:58 |
| schestowitz[TR2] | You actually have no idea if an LLM works "a lot like the human brain". No one does. It is still not clear if neural networks are capable of generalization to data outside of the training set in any capacity. Not just LLMs. | Oct 31 15:58 |
| schestowitz[TR2] | If they could, why would we need these monstrous models, even for simple problems? | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | spottedmarley 23 days ago | root | parent | next [–] | Oct 31 15:58 |
| schestowitz[TR2] | I didn't say that it works like a human brain mechanistically, I said that in terms of how it can only output variations of the underlying training data, it does, indeed resemble (or 'works like', in common parlance) how a brain works. Your confusion stems from your literal take on the term works like. | Oct 31 15:58 |
| schestowitz[TR2] | The theory is sound. | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | can3p 24 days ago | prev | next [–] | Oct 31 15:58 |
| schestowitz[TR2] | A lot of artists are doing mix and match and they're fine because it's framed as artistic interpretation. Can the author point to examples of LLMs reproducing some original work without being explicitly asked to do so? If not, what's the argument? | Oct 31 15:58 |
| schestowitz[TR2] | I read the source code and like some patterns that I reuse in my later works. Is that plagiarism? If not, what's the difference with LLMs in this sense? | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | vincent-uden 24 days ago | prev [–] | Oct 31 15:58 |
| schestowitz[TR2] | I for one am still baffled at just how OpenAI/Anthropic and the likes have gotten away with the biggest copyright infringements (or perhaps IP-theft, I'm not sure what the correct term is) in history (the data collection for training) without any legal ramifications. | Oct 31 15:58 |
| schestowitz[TR2] | Even if it turns out to be perfectly legal I think a "retreat" to this position of LLM generation being Plagiarism (and therefore being uninteresting and morally bad) is quite a reasonable action. | Oct 31 15:58 |
| schestowitz[TR2] | It also separates LLMs for searching through documents quite nicely from content generation which since I would be hard pressed to consider a "fuzzy search" as a form of plagiarism. | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | verdverm 24 days ago | parent [–] | Oct 31 15:58 |
| schestowitz[TR2] | If they buy the books, is it still theft? | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | vincent-uden 24 days ago | root | parent [–] | Oct 31 15:58 |
| schestowitz[TR2] | For training purposes? I'd say no. | Oct 31 15:58 |
| schestowitz[TR2] | The legal or ethical status of generated output is still up for discussion. I myself do not think neural networks can generalize and thus I would have to say that it still would be copyright infringement since its just regurgitation of input data. Just because I bought a book doesn't mean I get to re-publish it. | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | verdverm 24 days ago | root | parent [–] | Oct 31 15:58 |
| schestowitz[TR2] | they are not outputting or "regurgitating" like that, especially as the models get smaller, they just cannot encode that much information for reproduction, not so dissimilar from humans | Oct 31 15:58 |
| schestowitz[TR2] | maybe a couple of years back in the early experiments, but not today, if it were easy to get them to do it still, the activists would have by now | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | vincent-uden 23 days ago | root | parent [–] | Oct 31 15:58 |
| schestowitz[TR2] | Yes they are. Just because the models have been overfit on the entirety of the internet doesn't mean they aren't in principle re-generating parts of their input data for the overwhelming majority of their output. Sure, stochasticity pushes the output into weird states sometimes, these are the states where the output is plain useless nonsense. Hallucinations, if you will. | Oct 31 15:58 |
| schestowitz[TR2] | Our brains are entirely too small to recognize the patterns encoded from the gigantic training data set. But they are there nonetheless. | Oct 31 15:58 |
| schestowitz[TR2] | This is easily seen if you try get *any* neural network to generalize to *any* non-trivial task (in this case, XOR for example I consider to be trivial). There are no non-flickering, stable vision models that can recognize a human/dog/cat/whatever in all the lighting settings we can without false positives. The models are only getting better because they are getting bigger and are provided with more data. This is *not* generalizati | Oct 31 15:58 |
| schestowitz[TR2] | on. | Oct 31 15:58 |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | Oct 31 15:58 | |
| schestowitz[TR2] | verdverm 22 days ago | root | parent [–] | Oct 31 15:58 |
| schestowitz[TR2] | > Yes they are. | Oct 31 15:58 |
| schestowitz[TR2] | If you change the definition to be more flexible, sure, you can claim such things. But I will disagree because under this definition humans are largely just regurgitating too. Consider how evolution has been a similar training regime for organic systems." | Oct 31 15:58 |
| -TechBytesBot/#techbytes-news.ycombinator.com | Slop Is Plagiarism | Hacker News | Oct 31 15:58 | |
| schestowitz[TR2] | https://www.goominet.com/unspeakable-vault/vault/527/https://www.goominet.com/unspeakable-vault/vault/527/ | Oct 31 16:48 |
| -TechBytesBot/#techbytes- ( status 404 @ https://www.goominet.com/unspeakable-vault/vault/527/https://www.goominet.com/unspeakable-vault/vault/527/ ) | Oct 31 16:48 | |
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