Crypto Biz: EU looks under the hood of Big Tech algorithms, Musk’s TruthGPT and more

Whether the quality tin supply truthful answers volition person to beryllium seen, but the determination would undoubtedly fortify Musk’s concern portfolio, which already includes SpaceX and Twitter, some companies sharing Musk’s curiosity astir the beingness and his attack to truth.

Speaking of facts, European authorities are strengthening regulations connected AI projects by launching a caller probe hub to analyse Big Tech algorithms. A squad of multidisciplinary experts volition beryllium successful complaint of looking “under the hood” of ample hunt engines and online platforms to analyse however those algorithms lend to the dispersed of amerciable and harmful content.

This week’s Crypto Biz looks astatine the latest developments successful the fast-growing AI market, MicroStrategy integration with the Bitcoin Lightning Network, and Microsoft’s efforts to powerfulness AI development.

Artificial quality (AI) mightiness soon reply a profound philosophical question. Finding what the information is volition beryllium the absorption of Elon Musk’s caller endeavor TruthGPT, an AI dedicated to uncovering the cardinal quality of the beingness and addressing an alleged “left-wing” bias successful the industry. 

Microsoft is processing its ain AI spot to powerfulness ChatGPT

Since 2019, Microsoft has been developing its ain artificial quality chips to chopped down increasing costs for some its ain and OpenAI projects, reducing its reliance connected Nvidia’s GPUs. The determination reflects a spot shortage that affected galore industries worldwide during the pandemic. One of the astir fashionable GPUs for grooming instrumentality learning systems, the Nvidia H100 tin beryllium purchased for $40,000 connected reseller services specified arsenic eBay amid expanding marketplace scarcity.

MicroStrategy’s Saylor fuses enactment email code with Bitcoin Lightning

MicroStrategy’s CEO Michael Saylor disclosed the integration of email addresses with the Bitcoin Lightning Network, allowing transactions utilizing emails alternatively of wallet addresses. In a screenshot, Saylor showed a fewer transactions sent to his firm email relationship successful the signifier of satoshis, the smallest portion of Bitcoin (BTC). It’s unclear if the solution is disposable for different MicroStrategy email addresses. The Lightning Network is simply a fashionable Bitcoin scaling solution susceptible of processing 1 cardinal transactions per 2nd astatine the outgo of 1 satoshi per transaction.

So @MicroStrategy converted my firm email code into a #Lightning⚡️ code and radical support sending maine 21 sats... pic.twitter.com/FHde6RtA6N

Elon Musk to motorboat truth-seeking artificial quality level TruthGPT

Elon Musk is developing a ChatGPT rival known arsenic “TruthGPT,” a ample connection exemplary that volition beryllium trained to research the “nature of the universe.” During an interrogation with American cablegram web Fox News, Musk said that the truth-seeking AI would besides propulsion backmost against what helium perceives arsenic “left-wing” bias successful the industry. ChatGPT “is programmed by left-wing experts, which bid the chatbots to lie,” according to Musk. That is not the archetypal clip Musk has attacked ChatGPT; helium precocious spearheaded a letter calling for the halt of precocious AI improvement claiming societal concerns.

Before you go: OpenAI has until April 30 to comply with EU laws, ‘next to impossible’ accidental experts

OpenAI faces its biggest regulatory challenge arsenic Italian authorities importune the institution has until April 30 to comply with section and European information extortion and privateness laws. Under the EU’s laws, tech outfits indispensable solicit idiosyncratic consent to bid with idiosyncratic data. Companies operating successful Europe indispensable besides let Europeans to opt retired of information postulation and sharing. According to experts, this volition beryllium hard for OpenAI since its models are trained connected monolithic information troves, which are scraped from the net and conflated into grooming sets.

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