Given that people seem to have forgotten the fact "two wrongs doesn't make one right" and whataboutism going mainstream, all answers are going "but what about "mainstream" x". X can be everything from media to medicine in this case.
7,783 karma · joined February 23, 2015
Contact: triumphantcoder at google's mail dot com
No that doesn't happen. This MAHA statement has become a thing on its own. So much so that RFK is doing exactly what you seem to have an issue with the medical community:
Not only they launched viral products and Tesla Autopilot but their mission was to produce a full self driving car and capture a huge chunk of the auto market so their TAM was pretty large. You can read some early HN posts to see the amount of hype.
A casual observer was still pumped about Tesla lowering costs and delivering full automated driving in couple of years. One could say they were being overly optimistic. It is only when years passed by and tech didn’t materialise that now we say that they lied to investors.
I think same case can be made for OpenAI. They might hit a plateau on their advancement but continue to make overly optimistic projections.
They found a hack and that is loading up the intangible column. In that list reputation/brand risk always makes an appearance. "If you don't do this project this terrible thing might happen and we might suffer reputational risk. We estimate 2x millions of loss due to reputation being harmed". And presto! there is a case for the project.
Its like cloud migration project. Total run costs are part of the pitch but you add on extra things like added security, automatic updates etc. it becomes an easier sell.
AI tools being so hyper focused on "productivity gains" it is going to be tough sell. Especially because users will resist it and the productivity boosts if any will remain low.
In that case can you share the user stats for the sub? Because if coding boot camp as an industry is dying the growth of the sub should have also slowed down or plateaued, right?
This kind of behavior rubs me the wrong way. People leaking stuff, breaking compliance and then say - It was just harmless.
I work with a Director who has done something similar multiple times. The chain of events often is - She attends an industry conferences, there she learns about a piece of software, she goes ahead and schedules product demos and solicits a contract. She then contacts the only outsourcing agency she is aware of and promises to give them the implementation contract. Then reaches out as she doesn't have the authority to sign those contracts.
Since the time I have been responsible for product selection this has happened twice. Both times I have been under different managers. Both managers have insisted it was harmless.
Last time this happened the Director was told by promising work and soliciting contracts she was in gross non compliance of the company policies. Her response showed how little she cared. As per her, this was an internal matter and no one could punish her.
Later when we evaluated the product and it promised to "get better with time". All the company's data was being ingested into an AI without regard for enterprise data security rules. Even then her response was - What is the big deal? Everyone reads everyone's data. Legal got involved and shut it down - they asked the product to turn off AI features for our instances.
It is really hard to contend against a malicious or dumb team mate. In a corporate setting if they are higher than you then it is even more difficult. They can chalk it up to a harmless mistake and no one can do a thing.
End users (at my company) - Can your AI system look at numbers and find differences and generate a text description?
Pre-sales - (trying to clarify) For our systems to generate text it will be better if you give it some live examples so that it understands what text to generate.
End users - But there is supporting data (metadata) around the numbers. Can't your AI system just generate text?
Pre-Sales - It can but you need to provide context and examples. Otherwise it is going to generic text like "there is x difference".
End user - You mean I need to write comments manually first? That is too much work.
Now these users have a call with another product - MS Copilot.
I refused because of the hallucination issues. But got overruled by the end users - who are going to use these documents. They are convinced that AI will move things faster. When it comes time to using the document they are most likely going to feed the doc to AI and ask for summary and steps.
Write document using AI and then read/summarize using AI.
Lots of articles out there blaming people who enabled this mess. The divide doesn't exist for nothing.
Even more articles blaming this administration for pressuring private companies. For examples lots of ink has been spent on FCC and Kimmel saga.
So, if there are few posts like these blaming private companies I think it should be fine without this kind of apologia.
Before the advent of smartphones people needed to remember phone numbers and calculate on the fly. Now people don't even remember their own numbers and save it on somewhere and open the calculator app for smallest of things.
But there are still people who can do both. They are not luddites rather not fully reliant on smartphones.
Same thing is going to happen with LLMs.
At some point restricting LLM usage is going to be considered good parenting just like restricting phones are today. Use it for some purpose but not all.
It sounds like people don't understand bureaucracy is always imperfect. If it was perfect then you don't need to create another agency called DOGE while having Congressional Budget Office and do exactly the same things.
The question should be is there fraud/fat/waste which has a meaningful impact? If not then it changing it wouldn't really matter. The unfortunate thing is that anecdotal evidence rules supreme and there are enemies every where.
"Data doesn't support a meaningful impact? I saw it with my own eyes so it should be true and the person reporting the data must have Democrat agenda"
Would have Apple done the same if it was any another country?
Probably not. They would have courts and the democratic processes to help them resist.
But in face of authoritarian government who can hurt Apple's sales the company always bows. Be it actions in China or now action in US. The motive is simply profit.
The company cannot have a centralized control to make it "safer" and then give that way if the profits are under threat. Companies should be shamed for that.
haven't we established that if you are layman in an area AI can seem magical. Try doing something in your established area and you might get frustrated. It will give you the right answer with caveats - code which is too verbose, performance intensive or sometimes ignoring best security practices.
I am curious what kind of work is she using ChatGPT such that she cannot do without it?
> ChatGPT released data showing that programming is just a tiny fraction of queries people do
People are using it as search engine, getting dating advice and everything under the sun. That doesn't mean there is business value - so to speak. If these people had to pay say $20 a month for this access, are they willing to do so?
The poster's point was that coding is an area which is paying consistently for LLM models so much that every model has a coding specific version. But we don't see same sort of specialized models for other areas and the adoption is low to nonexistent.
This has been the selling point of ML based recommendation systems as well. This story from 2012: https://www.forbes.com/sites/kashmirhill/2012/02/16/how-targ...
But can we really say that advertisements are more effective today?
From what little I know about SEO it seems nowadays high intent keywords are more important than ever. LLMs might not do any better than Google because without the intent to purchase pushing ads are just going to rack up impression costs.
1. Extensions - H1B is approved for years. Once that period is complete employers need to extend it for another 3 years.
2. Amendments - This will include new job/employer. So, this does mean new H1B employee on the payroll but not exactly new H1B being brought from India.
3. New Hires - Completely new H1B hires.
For example, Google's count might include a rolling set of employees requiring H1B extension before they file I-140 petition, H1Bs from Infosys jumping ship to Google for a handsome pay increase and new H1B employees. So, there is no 1:1 comparison.
That said, I know Google departments being offshored but mostly due to the software tax code change in US. That has now been rolled back. So, hiring should pick up a bit.
As pointed in the H1B fees threads - Corporations always look to maximize benefits. If Accenture and their US clients think that their contracts will be cheaper if they have 3 H1B employees instead of 10 and let rest 7 work out of India, then that is what they will do. H1B fees is just going to make things worse. There is no good way to stop this globalization.
That said I think Accenture story is full of air. Its right there in the article > It is not immediately clear how much Accenture intends to invest in setting up the campus.
Trump is apparently the strong man leader with lots of support but at the same time the weakest leader who can be obstructed by smallest of opposition.
If he cannot get his most ardent detractors to support him then he is not much of a leader.
The sheer amount of complaining is grating and not even backed up with facts. It seemed you ran with the first article you found on Google and didn't read the conclusion:
> in a July poll by the Government Business Council, the research arm of Government Executive Media Group, with 42 percent of respondents saying they would vote for Clinton, compared to 37 percent who said the same for Trump.
That is maybe Democract are driven more to contribute but in voting there is just 5% difference. So much for "dominated by one party".
True. But the roles as such require you to do a lot of thinking by helping a LOT of people. You end up shuffling between multiple projects/deliverables. Here we are talking about probably a developer working on a single project/deliverable and then equating it to AI. Not to mention the easy to forget part is that by the time you are a tech lead / team lead / architect you have so many hours that you know some stuff like back of your hand.
Case in point - https://www.youtube.com/watch?v=WBllzAb_vAk
Kevin Hall's study didn't find ultra processed foods being addictive like cocaine. It seemed to have rubbed the RFK MAHA agenda the wrong way.
https://www.youtube.com/watch?v=qf7ws2DF-zk
Keeping a democracy requires people to understand it as well. At least in US it seems they'd rather elect a dictator wannabe who clearly said he wanted to be dictator for a day than elect a woman.
Uber was undercutting traditional taxis either through driver incentive or cheaper pricing. Many hot takes were around the sustainability of this business model without VC money. In many places this turned out to be true. Driver incentives are way down and Uber pricing is way up.
That said, this is also conflating one company with an industry. Uber might have survived but how many ride sharing companies have survived in total? How many markets have Uber left because it couldn’t sustain?
In a bubble the destruction is often that some big companies get destroyed and others survive. For every pets.com there is one Amazon. That doesn’t mean Amazon is good example to say naysayers during the dot bubble were wrong.
Yes this line made you seem ignorant.
>> Because China is so much more immigration and foreigner friendly?
The brain drain to China will not be based on immigrants or foreigners rather Chinese going back. Capisce?
And you seem to be arguing for the sake of arguing.
> Yes, the US is also on a bad path. But so is China. And they too push plenty of bullshit. How is that Tianmen Square investigation coming along?
Tiananmen Square happened in 1989. China has been on the "bad path" for years. No one is denying that. But that is not the same parallel as US government pushing hack medicines and correlation studies like autism and Tylenol. Find me an example of China doing that instead of going for the lowest denominator of "Tiananmen Square, see gotcha".
And as much as I dislike saying this - Chinese government doesn’t want you talking about politics. Otherwise you should be mostly fine.
While US government is going beyond politics. Pushing stuff like that autism and Tylenol connection on correlation study. That is going beyond politics and impacting academic and scientific analysis.
You can pick any opinion you got from media. Whether it is the whole discussion around autism or the push for DEI. Everything comes down to someone speaking or maybe even shouting.
The unfortunate fact is that people try to see everything through a conspiracy lens and hence miss out voices are still heard - loud and clear.
There is no denying H1B has issues and people are angry. But it has its uses like the doctors or specific skillsets. It is like punishing 100 guilty while persecuting 1 innocent. That is not what a proper law is supposed to do but this administration and its supporters lack empathy.