chopete3

This is the best example of cheapest way to influence elections

Some user from India. All 7 submissions are politics related.

40% discount across the board is pretty steep and while doing the extra work of providing FedRAMP compliance.

Genuine public service.

10-15% discount was sufficient to get listed.

We were paying $40K/year for both salesforce and salesloft. Both got built into a simple app for the sales and SDR team. The new app is way clean and faster than Salesforce. We even hired a consulting agency to setup/manage Salesforce and its reports. That consulting agency is also gone.

I think the standard cyber liability insurance that companies buy will go up for AI generated apps in the near future. They and other business insurance companies are on the hook when things go south.

What the worst case penalty of the bad code/app?

>> written books about programming

I was walking by a huge selection of programming books in the library and it stuck me.

What happens to the thousands of tech books written on the art of programming now? It is a sad situation for them as well

In the capitalist economy one of the most important job is to build ones financial wealth and stability.

The employer doesn't do it.

Doing the day job is priority #2. Many do not fully understand this late into their career.

By then it is too late and late stage health problems start due to stress.

Most of the times the opposition doesn't get enough credit. It feels as if the winner did everything.

In this particular case the credit goes go the opposite side. They screwed up so much as to make this possible.

We only hear OpenAI and Claude models. Aren't other incapable of hacking websites?.

2. Most of these article do not mention of who initiated these bruteforce requests or if it was unintentional or a mistake or the model woke up itself and did it?

Is there a website to read more technical details on who triggered the hack and how it did work?.

The USA is the capitalist economy. The businesses do get protection and advantages.

If there is 36% increase in features shipped with half the team - that is a win.

Even if the new (half) team produces the same number of features it is a win.

Why is PR count or number of issues relevant for the overall outcome?. The article is trying to force fit the point their point about AI effectiveness

We use it but limited to APIs. Their fast-think-2.0 model for voice conversations is a lot more natural than the openai realtime2.1

This is so right. We training Whisper Large model on 20,000 audio samples specific to a domain and it ended up reducing the ASR by 5% while improving WER of the finetuned domain by 0.5%.

Instead we ended up with no finetuning. We give audio snippet to 2 AsR models, take 3 best transcriptions and ask the LLm to pick the best based on the context. That produced significantly higher accuracy in how an agent understands the users.

Key point:

- Work is shifting from building/doing to evaluating, judging, and steering — that's where human value will concentrate.

Other supporting points. ------

- No lab milestone or "RSI breakthrough" will suddenly eliminate jobs — economic impact unfolds gradually over decades.

- Reliability, not raw capability, is the real bottleneck holding back AI automation today.

- Historically, making work cheaper/faster (ATMs, radiology, coding) has grown employment, not destroyed it.

- Superintelligence claims misunderstand human intelligence, which is itself amplified by tools like AI ("co-superintelligence").

It is not a good idea to compress articles like this but there are many of these opinions to read and trying to get to the point quickly to uncover new viewpoints.