orussey98 wrote: ↑Mon Feb 27, 2023 7:58 pm does anyone know if ChatGPT has been connected to the internet? (as a source)
or someone succeed to do it ?

There are some Chrome extentions that will allow you to use ChatGPT with the internet.
There's this AIPRM for ChatGPT > https://chrome.google.com/webstore/deta ... nknjdlckgj

or check out others on YT > https://www.youtube.com/results?search_ ... +extension

I found this in The Economist and thought it might be of interest here. I have posted it in full as there is a paywall.

Investors are going nuts for ChatGPT-ish artificial intelligence

Since chatgpt was launched in November, a new mini-industry has mushroomed that has defied the broader slump in tech. Not a week goes by without someone unveiling a “generative” artificial intelligence (ai) underpinned by “foundation” models—the large and complex algorithms that give Chatgpt and other ais like it their intelligence. On February 24th Meta, Facebook’s parent company, released a model called llama. This week it was reported that Elon Musk, the billionaire boss of Tesla and Twitter, wants to create an ai that would be less “woke” than Chatgpt. One catalogue, maintained by Ben Tossell, a British tech entrepreneur, and shared in a newsletter, has recently grown to include, among others, Ask Seneca (which answers questions based on the writings of the stoic philosopher), Pickaxe (which analyses your own documents), and Issac Editor (which helps students write academic papers).

Chatgpt and its fellow chatbots may be much talked about (and talked to: Chatgpt may now have more than 100m users). But Mr Tossell’s newsletter hints that the real action in generative ai is increasingly in all manner of less chatty services enabled by foundation models.


Each model is trained on reams of text, images, sound files or any other heap of data. This allows them to interpret, react to and create statements in natural language, as well as art, music and any other type of content you find on the internet. Even as the venture-capital (vc) industry nurses a giant hangover after the recent tech crash put paid to a bubbly couple of years, entrepreneurs experimenting with generative ai have no trouble attracting investments. In January it was reported that Microsoft poured another $10bn in Openai, the startup behind Chatgpt, on top of an earlier investment of $1bn. A spreadsheet maintained by Pete Flint at nfx, a vc firm, now lists 539 generative-ai startups. Not counting Openai, they have so far collectively raised more than $11bn in capital (see chart). Mike Volpi of Index Ventures, another vc firm, calls it a “Cambrian explosion”.

Several factors are driving it. Though foundation models have been around for some time, Mr Volpi explains that it took a consumer-facing service such as Chatgpt to capture the world’s—and investors’—imagination. This happened just as venture capitalists disappointed by the cryptocurrency crash and the empty metaverse were on the lookout for the next big thing. In addition, even more than web browsers and smartphones before them, foundation models make it easy to build new services and applications on top of them. “You can open your laptop, get an account and start interacting with the model,” says Steve Loughlin of Accel, yet another vc firm.

The question for venture capitalists is which generative-ai platforms will make the big bucks. For now, this is the subject of much head-scratching in tech circles. “Based on the available data, it’s just not clear if there will be a long-term, winner-take-all dynamic in generative ai,” wrote Martin Casado and colleagues at Andreessen Horowitz, one more vc firm, in a recent blog post. Many startups offer me-too ideas, many of which are a feature rather than a product. In time even the resource-intensive foundation models could end up as a low-margin commodity: although proprietary models such as Openai’s gpt-3.5, which powers Chatgpt, are still leading, some open-source ones are not far behind.

Another source of uncertainty is the legal minefield onto which generative ai is tiptoeing. Foundation models often get things wrong. And they can go off the rails. The chatbot which Microsoft is developing based on Openai’s models for its Bing search engine has insulted more than one user and professed its love to at least one other (Sydney, as Microsoft’s chatbot is called, has since been reined in). Generative-ai platforms may not enjoy the legal protection from liability that shields social media. Some copyright holders of web-based content on which existing models are being trained willy-nilly, without asking permission or paying compensation, are already up in arms. Getty Images, a repository of photographs, and individual artists have already filed lawsuits against ai art-generators such as Stable Diffusion. News organisations whose articles are plundered for information may do the same.

Openai is already trying to manage expectations, downplaying the launch later this year of gpt-4, the highly anticipated new version of the foundation model behind Chatgpt. That is unlikely to temper vc types’ appetite for generative ai. For more risk-averse investors, the safest bet at the moment is on the providers of the ample processing power needed to train and run foundation models. The share price of Nvidia, which designs chips useful for ai applications, is up by 60% so far this year. Cloud-computing services and data-centre landlords are rubbing their hands, too. Whichever ai platform comes out top, you can’t go wrong selling picks and shovels in a gold rush.

https://www.economist.com/business/2023 ... telligence

^^^^

Here is the letter on full, issued by FurutreofLife.org.

It is worth a read and if the leaders of tech think the brakes should be put on for a while, maybe they should be listened to.

AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1] and acknowledged by top AI labs.[2] As stated in the widely-endorsed Asilomar AI Principles, Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources. Unfortunately, this level of planning and management is not happening, even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control.

Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now.

Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.

AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts. These protocols should ensure that systems adhering to them are safe beyond a reasonable doubt.[4] This does not mean a pause on AI development in general, merely a stepping back from the dangerous race to ever-larger unpredictable black-box models with emergent capabilities.

AI research and development should be refocused on making today's powerful, state-of-the-art systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal.

In parallel, AI developers must work with policymakers to dramatically accelerate development of robust AI governance systems. These should at a minimum include: new and capable regulatory authorities dedicated to AI; oversight and tracking of highly capable AI systems and large pools of computational capability; provenance and watermarking systems to help distinguish real from synthetic and to track model leaks; a robust auditing and certification ecosystem; liability for AI-caused harm; robust public funding for technical AI safety research; and well-resourced institutions for coping with the dramatic economic and political disruptions (especially to democracy) that AI will cause.

Humanity can enjoy a flourishing future with AI. Having succeeded in creating powerful AI systems, we can now enjoy an "AI summer" in which we reap the rewards, engineer these systems for the clear benefit of all, and give society a chance to adapt. Society has hit pause on other technologies with potentially catastrophic effects on society.[5] We can do so here. Let's enjoy a long AI summer, not rush unprepared into a fall.

https://futureoflife.org/open-letter/pa ... periments/

Strange how this letter was signed by people who missed out on investing in Open AI.

It's futile anyway. When horses were replaced by cars, no amount of lobbying by the horse lobby could have stopped that. AI will be used wherever it leads to a gain in productivity, like it or loathe it.

I'm in the same camp as Alex ... its a futile gesture to be quite honest. Even if everyone "agrees" to follow it in practice we know the major powers will disregard it in secret.
simply because...

In the land of the blind the one eyed man shall be King.

FYI:

Use of AI for SEO and content to grow 5x this year
Building authority has a compounding effect on how brands perform in organic search. And the acceleration of AI in search is only increasing the importance of developing authority, trust and credibility as a signal on the topics or areas you are known for or known to be helpful for.

That’s according to new research from enterprise SEO platform BrightEdge.

Why we care. Economic uncertainty has kept marketing budgets flat (or even reduced) and put greater focus on SEO this year. But that also means SEOs are being asked to drive more revenue and conversions without a greater investment in SEO.

58% plan to use AI for content and SEO in 2023. Search marketers want to use AI-generated Only 10% of marketers use AI for SEO content generation, but 58% aim to this year.
One reason for that 10% figure is likely an abundance of caution. ChatGPT and similar tools can generate content quickly – but quality remains a concern due to AI “hallucination” and many SEOs worry Google will be able to detect and penalize AI content.

Google has warned against using AI-generated content for years – although that guideline has softened in 2023. Now, Google cares less whether a human or AI writes your content, as long as your content is helpful to people and not created to manipulate the search results.

Why this change? Most likely because Google plans to soon add generative AI to its search experience.

90% of organizations prioritizing SEO in 2023. Building up brand expertise and authority delivers what BrightEdge refers to as “compounding value.” Basically, this means the websites that are winning in their industry/niche continue to increase their share of search. content – but they just haven’t quite figured out how yet, according to BrightEdge:

“As a result of SEOs focusing on high value, impactful work success in 2022, we are seeing more buy-in from organizations, with 90% of organizations prioritizing SEO in 2023,” said BrightEdge CEO Jim Yu.