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These Indications Point to the Real Purpose of OpenAI’s Dubious Q* Project

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These Indications Point to the Real Purpose of OpenAI's Dubious Q Project

After CEO Sam Altman was temporarily removed from his position and returned to OpenAI last week, there were two reports claiming that a top-secret project at the company had alarmed some researchers there with its potential to find a potent new way to solve unsolvable problems.

“Given vast computing resources, the new model was able to solve certain mathematical problems,” Reuters reported, citing a single unnamed source. “Though only performing math on the level of grade-school students, acing such tests made researchers very optimistic about Q*’s future success.” The Information said that Q* was seen as a breakthrough that would lead to “far more powerful artificial intelligence models,” adding that “the pace of development alarmed some researchers focused on AI safety,” citing a single unnamed source.

What might Q* at some point be? Consolidating a nearby perused of the underlying reports with thought of the most sweltering issues in artificial intelligence right presently proposes it could be connected with an undertaking that OpenAI declared in May, guaranteeing strong new outcomes from a strategy called “process oversight.”

The task included Ilya Sutskever, OpenAI’s main researcher and prime supporter, who expelled Altman yet later abnegated — The Data says he drove work on Q*. The work from May was centered around decreasing the coherent slipups made by enormous language models (LLMs). Process management, which includes preparing a simulated intelligence model to separate the means expected to take care of an issue, can work on a calculation’s possibilities finding the right solution. The task demonstrated the way that this could help LLMs, which frequently simplify mistakes on rudimentary numerical statements, tackle such issues all the more successfully.

Andrew Ng, a Stanford College teacher who drove simulated intelligence labs at both Google and Baidu and who acquainted many individuals with AI through his classes on Coursera, says that further developing huge language models is the following sensible move toward making them more helpful. ” LLMs are not that great at math, but rather nor are people,” Ng says. ” In any case, in the event that you give me a pen and paper, I’m vastly improved at duplication, and I believe it’s really not that hard to calibrate a LLM with memory to have the option to go through the calculation for duplication.”

There are different signs to what Q* could be. The name might be a mention to Q-learning, a type of support discovering that includes a calculation figuring out how to take care of an issue through sure or negative criticism, which has been utilized to make game-playing bots and to tune ChatGPT to be more useful. Some have proposed that the name may likewise be connected with the A* search calculation, generally used to have a program track down the ideal way to an objective.

The Data tosses one more sign in with the general mish-mash: ” Sutskever’s advancement permitted OpenAI to defeat restrictions on getting an adequate number of great information to prepare new models,” its story says. ” The exploration included utilizing PC produced [data], instead of genuine information like text or pictures pulled from the web, to prepare new models.” That gives off an impression of being a reference to preparing calculations with supposed engineered preparing information, which has arisen as a method for preparing all the more remarkable computer based intelligence models.

Subbarao Kambhampati, a teacher at Arizona State College who is exploring the thinking restrictions of LLMs, believes that Q* might include utilizing tremendous measures of manufactured information, joined with support learning, to prepare LLMs to explicit errands like basic math. Kambhampati takes note of that there is no assurance that the methodology will sum up into something that can sort out some way to tackle any conceivable numerical question.

For more hypothesis on what Q* may be, read this post by an AI researcher who arranges the specific circumstance and hints in noteworthy and coherent detail. The TLDR variant is that Q* could be a work to utilize support learning and a couple of different methods to further develop a huge language model’s capacity to settle errands by thinking through strides en route. Albeit that could improve ChatGPT at math problems, it’s muddled whether it would naturally propose man-made intelligence frameworks could dodge human control.

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Apple’s own 5G modem-equipped iPhone SE 4 is “confirmed” to launch in March

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Tom O’Malley, an analyst at Barclays, recently visited Asia with his colleagues to speak with suppliers and makers of electronics. The analysts said they had “confirmed” that a fourth-generation iPhone SE with an Apple-designed 5G modem is scheduled to launch near the end of the first quarter next year in a research note they released this week that outlines the main conclusions from the trip. That timeline implies that the next iPhone SE will be unveiled in March, similar to when the present model was unveiled in 2022, in keeping with earlier rumors.

The rumored features of the fourth-generation iPhone SE include a 6.1-inch OLED display, Face ID, a newer A-series chip, a USB-C port, a single 48-megapixel rear camera, 8GB of RAM to enable Apple Intelligence support, and the previously mentioned Apple-designed 5G modem. The SE is anticipated to have a similar design to the base iPhone 14.

Since 2018, Apple is said to have been developing its own 5G modem for iPhones, a move that will let it lessen and eventually do away with its reliance on Qualcomm. With Qualcomm’s 5G modem supply arrangement for iPhone launches extended through 2026 earlier this year, Apple still has plenty of time to finish switching to its own modem. In addition to the fourth-generation iPhone SE, Apple analyst Ming-Chi Kuo earlier stated that the so-called “iPhone 17 Air” would come with a 5G modem that was created by Apple.

Whether Apple’s initial 5G modem would offer any advantages to consumers over Qualcomm’s modems, such quicker speeds, is uncertain.

Qualcomm was sued by Apple in 2017 for anticompetitive behavior and $1 billion in unpaid royalties. In 2019, Apple purchased the majority of Intel’s smartphone modem business after the two firms reached a settlement in the dispute. Apple was able to support its development by acquiring a portfolio of patents relating to cellular technology. It appears that we will eventually be able to enjoy the results of our effort in four more months.

On March 8, 2022, Apple made the announcement of the third-generation iPhone SE online. With antiquated features like a Touch ID button, a Lightning port, and large bezels surrounding the screen, the handset resembles the iPhone 8. The iPhone SE presently retails for $429 in the United States, but the new model may see a price increase of at least a little.

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Google is said to be discontinuing the Pixel Tablet 2 and may be leaving the market once more

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Google terminated the development of the Pixel Tablet 3 yesterday, according to Android Headlines, even before a second-generation model was announced. The second-generation Pixel Tablet has actually been canceled, according to the report. This means that the gadget that was released last year will likely be a one-off, and Google is abandoning the tablet market for the second time in just over five years.

If accurate, the report indicates that Google has determined that it is not worth investing more money in a follow-up because of the dismal sales of the Pixel Tablet. Rumors of a keyboard accessory and more functionality for the now-defunct project surfaced as recently as last week.

It’s important to keep in mind that Google’s Nest subsidiary may abandon its plans for large-screen products in favor of developing technologies like the Nest Hub and Hub Max rather than standalone tablets.

Google has always had difficulty making a significant impact in the tablet market and creating a competitor that can match Apple’s iPad in terms of sales and general performance, not helped in the least by its inconsistent approach. Even though the hardware was good, it never really fought back after getting off to a promising start with the Nexus 7 eons ago. Another problem that has hampered Google’s efforts is that Android significantly trails iPadOS in terms of the quantity of third-party apps that are tablet-optimized.

After the Pixel Slate received tremendously unfavorable reviews, the firm first declared that it was finished producing tablets in 2019. Two tablets that were still in development at the time were discarded.

By 2022, however, Google had altered its mind and declared that a tablet was being developed by its Pixel hardware team. The $499 Pixel Tablet was the final version of the gadget, which came with a speaker dock that the tablet could magnetically connect to. (Google would subsequently charge $399 for the tablet alone.)

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Windows 11 PCs with Arm Processors now have an Official ISO for Clean Installations

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Power users occasionally prefer to start over when they acquire a new computer, so they follow the pro-gamers’ advice and reinstall Windows using a brand-new ISO image that comes straight from Microsoft and is free of bloatware and needlessly complex “driver management programs.” Up until recently, the new Snapdragon laptops’ more specialized version of Windows 11 didn’t support that.

The Windows 11 build on these new laptops is unusual because of the Arm64-based hardware, which differs from the typical x86 and x64 innards found in most laptops and desktops. Microsoft has finally released a disk image (or ISO file) for these devices after several months of waiting. To perform a direct reinstallation or make a bootable flash drive for a different device, you may now download it straight from Microsoft’s website. It is identical to the installation media utility that is currently available.

Be aware that there may be some glitches if you use this method for a fresh install. Compared to previous designs, the Snapdragon X system-on-a-chip has a lot fewer hardware variables, but because it’s so new, Windows Update might not include all the necessary components. You may need to use an Ethernet connection or the old-fashioned sneakernet to manually load drivers from another computer. You may also need to do some Googling to locate all the files you require for that.

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