Chapter 258: 300 Internal Beta Qualifications (Part 2)



Chapter 258: 300 Internal Beta Qualifications (Part 2)

01:00 California time, 04:00 New York time, 17:00 Singapore time. Seeing that the soft Black Widow had fallen asleep, Fang Yu started the teleportation and returned to Haixi.

And at the same time.

San Francisco, Bay Area, Mountain View, Google Brain Research Center.

Jeff Dean nervously urged Li Yueguo, who also looked solemn: "Li, did you grab it? Quick, refresh it."

"It's already refreshing. The internet speed is too slow. Damn, what kind of crappy bandwidth is this at Youzi Technology?" Li Yueguo kept clicking his fingers on F5.

After a while, the page finally refreshed with a big congratulations sign on it.

"I got it!" Li Yueguo jumped up from his chair excitedly. "Twenty-nine thousand applicants, three hundred internal testing qualifications, and I actually got one!"

Jeff Dean couldn't hide his excitement.

If it was a year ago, no, it should be said that two months ago, he would not believe that as the first person in charge of Google Brain, he would be so excited about grabbing an internal testing qualification from another company.

This is the internal testing qualification for the Orange Big Model!

The Orange model claims to have initially achieved AGI (artificial general intelligence)!

Since the Orange model defeated AlphaGo two months ago, there has been no movement, and even the updates on arxiv and github are no longer as frequent as before.

The only progress is the crazy update of the yuzu architecture.

Currently, this architecture has been updated to version 0.41, with a wealth of examples, and has become the most popular training architecture.

But the big orange model that had been in the spotlight before seemed to have disappeared.

There are already many people who are spreading conspiracy theories saying that the Orange Model is a hoax.

But who would have thought that the Orange Big Model, which had been silent for two months, actually announced three days ago that it would conduct a small-scale internal test and open 300 internal test permissions to users and experts in related fields around the world.

To apply for internal testing permissions, you need to fill out the corresponding industry certificate, and only those who meet the requirements can apply.

When each person applies, a random question will be given, and only those who can answer it can continue to apply.

Most of these questions focus on autoregressive models, normalization processing, matrix calculation, and beam search, and each person encounters different ones.

In this way, in just three days, nearly 30,000 applicants completed the application test.

It goes without saying that almost every respectable researcher in the field of deep learning applied!

"Yuzu Technology is very confident," Li Yueguo sighed. "In my research background, I filled in the Google Brain, and I got it. This shows they're not afraid of us knowing their progress at all."

"This JUZI.YOUZI.COM must be the login page. Let's take a look."

——

"Yuzu Technology is very confident and actually opened up the internal testing qualification to us." In the Pioneer Building in San Francisco, a middle-aged man with a muscular build and the inner corners of his eyes seemed to be glued together also sighed.

Almost everyone in the world who pays attention to electric vehicles will be familiar with this face.

Elon Musk, the founder of Tesla and SpaceX, is a man who claims to change the world and migrate to Mars, and is known as the "real-life Iron Man."

"Maybe they just don't see us as competitors. Elon, let me interview you. What do you think about this?" A man in a blue casual shirt was half lying on the sofa, holding a magazine in his hand and handing it to Musk's mouth.

"OpenAI Gym, which was originally scheduled to be released this month, has lost its significance after the launch of the yuzu architecture. From this point of view, they are indeed ahead of OpenAI."

“Sam, I’m more concerned about whether they can guarantee safety if they actually achieve AGI.”

Although Musk looked calm, there was a hint of worry between his brows.

The man in front of him named Sam was his partner at openAI, Sam Altman, partner and president of Y Combinator, who also promised to invest but did not pay a penny.

Musk gets angry every time he sees Ultraman Sam.

Since they decided to jointly establish this non-profit AI research institute at the end of last year, he has donated 50 million Malaysian dollars in cash.

Sam Altman and Peter Thiel and their gang promised to invest $1 billion, but they haven't seen a penny so far.

Even the office that openAI currently uses in the Pioneer Building was allocated half by its own currently confidential company Neuralink.

Ultraman Sam shrugged. "Well, let's see what this big orange model is."

"Ilya, are you logged in?"

Ultraman Sam raised his voice to a slovenly young man in a gray T-shirt.

Sitting in front of the computer, the young man named Ilya didn't say anything, just nodded.

Elon Musk, Sam Altman, and a group of people gathered around.

The login interface of the Orange Model is very simple, just a username and password.

Elijah entered the username and password he had previously registered on the Youzi Technology homepage and logged into the operation interface smoothly.

After entering the operation page, a PDF version of the internal test instructions for download will automatically pop up on the page.

After downloading, Ilya clicked on the beta test instructions.

It is more than forty pages long in total, and I believe it explains the current functions of the Orange model, the content that needs to be tested, the testing tools and methods, and the feedback mechanism.

"Natural language processing? Is it true? Isn't it a bit exaggerated? It would be more believable if they said they solved the problem of natural language generation." After reading the beginning, Sam Ultraman couldn't help but frowned.

Natural language generation (NLG) is a subfield of natural language processing (NLP), which refers to the ability of computers to generate text that conforms to human language habits.

The latter means that in addition to generating text that conforms to human language habits, it also has many sub-fields such as text classification, sentiment analysis, machine translation, information extraction, and speech recognition.

It can be said that natural language processing means that if it is just a chat, it will be difficult for humans to tell whether the other party is a human or AI.

"Question-answering system, natural language understanding, information retrieval, answer generation, context understanding... How is this possible?" Sam Ultraman was more and more surprised as he looked at it.

Just looking at the documentation, this is already a fairly complete model system.

"It's not difficult to generate images from text. We can use adversarial networks, but the examples in the document are a bit surprising." Ilya pointed to a picture of a child holding a puppy in the document and spoke for the first time.

He has a distinct accent and speaks with a slight stutter.

"Especially here. When Pomelo Technology created this image, it described it as follows: A child and a puppy are looking off into the distance, perhaps seeing their father. The child is filled with joy, while the puppy is trying to break free from its owner's embrace and run towards him."

Elijah's speech gradually became fluent, except for some stuttering at the beginning of each sentence, it was much better at other times.

"Look at the dog's expression in this picture. Its mouth is open and its tongue is hanging out. Although it's struggling, its paws are deliberately avoiding its little master's face."

"This, this shows that, at least when making this picture, the Orange model understood the relationship between the little owner and the owner, and the relationship between the dog, the owner, and the little owner, and was able to guess the dog's emotions and how the dog would express similar emotions."

"If, as they say, this image was generated after just one additional explanation and debugging, then it shows that the Orange model does have NLP capabilities."

Elijah picked up a tissue and wiped the oil off his face from staying up all night.

"According to the documentation, the current Orange model has 19 billion parameters, which is indeed an astonishing number, but it is still a long way from the trillion-level synaptic connections of humans."

"I still have reservations about whether parameters of this magnitude can achieve the functions they claim."

“They haven’t opened up their code, not even the parameter structure of their large models,” Sam Altman shrugged. “I don’t think they’ll ever get that far.”

"We'll know after testing it," Musk's eyes flashed. "Ilya, test it now. I'll design a test plan."

(End of this chapter)

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