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Yep, I wasn't aboard the AI hype till I saw Deepseek. It's reasoning capability is frighteningly impressive.
I am somewhat concerned for my job prospects, but the following points give me hope:
- Capitalism works on perpetual growth, technologists aid that growth. If you're not employing technologists and your competitors are, they will get ahead. Thus, companies will always employ technologists. At the point AI is smarter than humans, we either won't have to work, or we'll be dead.
- A smart and experienced person with an AI is more effective than a dumb and inexperienced person with an AI.
- The first people to go will be those that do repeatable, simple tasks. This is not what technologists do.
Why is anyone considering it a threat all of a sudden. It's better than o1 but not a step change... it's incremental.
Are people taking out because it's not American? Why? Are they surprised that China can compete?
China sends the maximum number of researchers to AI conference for the last 10 years. And if you count Chinese nationals representing institutions outside China? It's even more disproportionate.
Only a matter of time.
China is really destroying some people’s feelings in here 🤣🤣🤣
AI was going to be a threat to job security regardless of Deepseek. The only ones hurt by Deepseek are the bigger players like OpenAI and Anthropic who won’t be able to price gouge down the road because of far cheaper competition. Smaller and mid size companies and even individuals with spare change can now create their own llms without risking getting cut off or price gouged by a bigger corp
Overall, I view it as a good thing even if a handful of American tech oligarchs will have to swallow their pride
Tbh I don't think there's a threat to SWEs either... it just changes what they do. It's similar to the compiler situation. Everyone thought that automatic compilers would leave people jobless... but there were exponentially more jobs. We'll see a similarly this time imo.
Technical capacity for models is not the blocker, it is a companies ability to realize and integrate the technology.
For example in the 90s I worked with an org that built ML models for cancer detection, we have a 90+ precision rate but the company failed because hospitals didn’t want efficacy, they much rather have unreliable bureaucracy to justify executive comp. Even today in 2025, market penetration is depressingly low. There are cancer screening tools that are more effective than usd 20k tests, costing 5-10 cents.
Same thing with serverless and cloud computing. Life changing for hyper small organizations (Facebook, google amazon), virtually meaningless for orgs that already have established moats (bank of America, Bobs furniture etc).
What I am excited for is the enablement of new ecosystems and yet-to-be dreamt about ( personal assistants, personal robots etc).
Stop worrying about how “cars” disrupted horse and carriages , start thinking about taxi services. Start thinking about petrol stations, the commercialization of roads, the invention of the suburbs, the segregation of race, the destruction of nature, the surge of high-cost city centers.
Wow what a great comment. Never thought of this - thanks.
It's a threat only to investors not to developers. The job of software development will evolve with the help of these tools just like how automation helped manufacturing sector with more production
Yeah that happened after the automation because some of the manufacturing moved out of the country because of diplomatic reasons like FDI. GM, Ford also suffered a huge losses because of that
I don't think the DeepSeek news is really a threat to workers, at least at this point. It is a threat to people who have invested a lot of money based on all the AI hype. But AI was going to be more than a passing fad regardless.
The AI hype has been created by the top tech leaders viz. Jensen Huang, Elon Musk, Satya Nadella, Sundar Pichai and Jeff bezos. This group of folks are the ones who’ve led billions into AI and hence they HAVE to create the hype.
AI was always destined to make a sudden leap into everything. It's no more a "fad" than mechanized transportation, and is far more significant. It has been called "humanity's last invention," since it will be taking over the inventing from here. That foreboding label also conveys its inherent risk - it might pose an existential danger to humanity, as Stephen Hawking and Geoffrey Hinton have warned.
As far as Deep Seek goes, I see no cause for panic. If their claims are true, I like hearing that refinement is possible and that AI will not belong to only the richest megacorporations.
Stressing over DeepSeek?
No, I stress about my job and finances not about stuff like that.
Bro AI makes my job easier. I’m not complaining.
One positive I see is that there will now be more competition and less of a monopoly by the tech bros that are cozying up to Trump. Monopolies are bad for capitalism and we can see how bad it gets with all of the layoffs in the United States lately. It was hubris for these companies to assume that others couldn't compete with them.
The threat is the same. Different state actor is all. 🤷🏾♂️
Why does anybody still think a LLM chatbot is going to take over any jobs? People made a lot of money overhyping these tools to fools haha
AI is a fad, none of it is going to replace tech workers. Tech general has been a fad, there's an over supply of tech workers and a shortage of trade type workers - tried getting anything real built lately?
A fad… like the internet was a fad. 💀
I’ll hold your hands while I tell you this- keep fighting it and that insecurity you feel will continue to grow while it’s evolution obliterates you. Ai may not *replace* human roles, but skilled workers who can utilize the tools will easily outpace people like you with this weirdly self hating view.
Deepseek is a bit of a hype. The reasoning layer cost 5 million, but we don't really know about the initial LLM. And it was developed on hardware worth 1 billion $, which is kind of hard to scale more in China. The only new thing Deepseek brings it's showing you the reasoning in a human readable format. Otherwise, what does it bring to companies, which are the real paying customers? Sure, it's free, the Chinese Communist Party pays.
You've got serious issues bro and are also a racist. Good to know.
it’s because it’s cheaper and you can host it in bedrock.
Threats maybe, sure, but minimal change. I think all the points here are excellent ones. For me - I see it as opportunity.
You’re looking at it in the wrong light deep seek is open source, eventually these agents that come online that will be able to run companies and do other things will also be open sourced you’ll have access to millions of super intelligent AI that could basically do anything for you once asked. Hey AI I’m hungry. Please go create me a farm AI I need housing. Please go build me a house, etc. we’re gonna be at a point where human conditions are improved by open source technologies anybody questioning that they might lose their job because of it isn’t seeing the full picture.
Rising Star
Just another step in the language model evolution. R1 will be replaced by something else better in a a few months.
Everyone besides the cloud and model sellers are still waiting around trying to figure out how AI makes them money and how the R&D costs will ever be made back.
The major problem I see is that the number of engineers needed now has been decreasing as AI coding assistants improve productivity for engineers along with no-code solutions which diminishes the manpower and therefore staff sizes needed. Once something causes the market to slow down, one can predict downsizing of SWE staff. Couple that with the saturation growth of tech workers especially now with AI hype combined with all the global supply of workers wanting jobs and you get the effects of making it very hard to find a job regardless of the need for engineers with every job opening having hundreds of applicants and making finding a new job very hard if you are unemployed. I’m dealing with the tech employer’s market effects right now, I believe. I’d be interested to see any data to back up my claims.
Look up technology commoditization. At this point you can upload your data into the cloud on Azure or Vertex and use AutoML to test out a laundry list of different models, even create an ensemble model of models to tell you which one performs best. We are model agnostic already. Someone else's comment was spot on, it's how you integrate and use the models, how you consider data selection and perform data preparation. This still requires immense amounts of work, and most importantly, thinking still wins.