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Comment Surprising? (Score 1) 1

Not so, although such claims would benefit from verification, as those are big juicy claims. I repeat not surprising, plausible.

I'd like to read more of it.

Lets pick some popcorn and watch.

Submission + - The Microsoft-OpenAI Files 1

theodp writes: GeekWire takes a look at AI’s defining alliance in The Microsoft-OpenAI Files, an epic story drawn from 200+ documents, many made public Friday in Elon Musk’s ongoing suit accusing OpenAI and its CEO Sam Altman of abandoning the nonprofit mission (Microsoft is also a defendant). Musk, who was an OpenAI co-founder, is seeking up to $134 billion in damages.

Previously undisclosed emails, messages, slide decks, reports, and deposition transcripts reveal how Microsoft pursued, rebuffed and backed OpenAI at various moments over the past decade, ultimately shaping the course of the lab that launched the generative AI era. The latest round of documents, filed as exhibits in Musk’s lawsuit, show how Nadella and Microsoft’s senior leadership team rally in a crisis, maneuver against rivals such as Google and Amazon, and talk about deals in private.

Even though Microsoft didn’t have a seat on the OpenAI board, text messages between Microsoft CEO Satya Nadella and OpenAI CEO Sam Altman following Altman's firing as CEO in Nov. 2023 (news of which sent Microsoft's stock plummeting), revealed in the latest filings, show just how influential Microsoft was. A day after Altman's firing, Nadella sent Altman a detailed message from Brad Smith, Microsoft’s president and top lawyer, explaining that Microsoft had created a new subsidiary called Microsoft RAI (Responsible Artificial Intelligence) Inc. from scratch — legal work done, papers ready to file as soon as the WA Secretary of State opened Monday morning — and was ready to capitalize and operationalize it to 'support Sam in whatever way is needed,' including absorbing the OpenAI team at a calculated cost of roughly $25 billion. (Altman’s reply: "kk"). Just days later, as he planned his return as CEO to the now-reeling-from-Microsoft-punches nonprofit, Altman joined Microsoft's Nadella, Smith, and Kevin Scott in a text messaging thread in which the four vetted prospective board members to replace those who had ousted Altman. Later that night, OpenAI announced Altman’s return with the newly constituted board.

If you like stories with happy Microsoft endings, as part of an agreement clearing the way for OpenAI to restructure as a for-profit business, Microsoft in October received a 27% ownership stake in OpenAI worth approximately $135 billion and retains access to the AI startup's technology until 2032, including models that achieve AGI.

Submission + - Insurer Lemonade offers 50% rate cut for Tesla drivers when FSD is steering (x.com)

schwit1 writes: U.S. insurer Lemonade has announced that it will offer a 50% rate cut for drivers of Tesla vehicles when FSD is steering because it had data showing it reduced accidents.

“A car that sees 360 degrees, never gets drowsy, and reacts in milliseconds can’t be compared to a human. Beyond the product announcement today, we’re also announcing our commitment to the Tesla community – the safer FSD software becomes, the more our prices will drop,” said Shai Wininger, co-founder and president at Lemonade.

Comment Re:Previous Decline vs Current Situation (Score 1) 125

Aggressive moderation was what made it worth compared to the web forum posts that contained very low quality unmoderated, not-curated, and too often broken/deleted and scattered content.

In the late 80's early 90's, the main source of knowledge was Usenet NNTP forums.
In the late 90's to early 2000's it started to shift to forums, problem forums were low quality, did not last

When StackOverflow arrived, it was refreshing, curated content, limited duplicates, made it a quality source. And yes I was also answered "Why would I want to do it this way?", or even "What was I trying to do?". Then I reformulated my question, and admitted it was not clear or not focused. And this alone helped me find a solution. Because what StackOverflow did really well, is force people to write quality questions, questions that would match many other people questions and needs.

As for AI LLMs, I am constantly horrified by their hallucinations, standing up on lies, wrong code, stupid recommendations, proposal of decades obsolete syntax, inability to check/verify/spot their own in/accuracy, invent API methods, loosing criterion during conversation.

The biggest issue with LLMs is that they output what can fit best statistically, regardless of pertinence or accuracy and it has no verification pass, cannot run code portion, cannot debug code portions even from own output and it is wrapped with meaningless excuses, chronic liar promises.

I am very sad to see StackOverflow"s decline.
I am even more worried to be redirected to LLMs as a "replacement".

Comment Re:Working by the clock has its drawbacks (Score 1) 181

I agree 100% with Everything you said. When you are your own employer, you cannot escape the realty, that you can only get your customers pay for the value you created, and if you fail a something, the consequences are entirely on you.

Comment Working by the clock has its drawbacks (Score 1) 181

Working by the clock, means you have a very constant, steady workload. So the amount of accomplished tasks equals the time spent working.

Although:
- Employers will tend to increase the workload within the same time span.
- Employees will push the other way and slow down their work until end of work time.

This method is praised because it simplifies management. It is just laying time tables and checking employees are on their assigned time.

While paying by the accomplished tasks within a defined time frame is more appropriate and fair for both employers and employees.

It has virtues:
- Employers pays proportionally to the value created by the work actually done.
- Employees are motivated to optimize their tasks, do time managements, adjust their work load to fit their own constraints, health, children education, income needs.

The drawback of this, is that it needs more qualified, more capable managers with a good understanding of tasks, capable of managing projects, dispatching tasks and adjusting the workload per employee, perform periodic team synchronizations, adjustments.

To summarize, the clocked work time need time managers, whereas the tasks oriented work requires projects managers.

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