In the evening of 14 days of the new waves of entertainment, the chewing of the chef is a social platform for the son’s paedophilia, who is exposed to the face of the children and who have given birth to the children. A number of friends of the network questioned the consent of the former wife, S., in response to a communication from the broker, said that everything had been referred to a lawyer.

The President of the Board, happily, described the fires of CatGPT with a word: the Vi model war. To date, there are at least 30 AI major models in the country that have been opened.

The red tape will not miss the class. In recent days, it has been reported that the red books have been secretly prepared for the “larger model” team, pre-empting participation in the R&D layout of large model technologies. However, with the exception of the NLP technical team from advertising operations, which is the core staff of the model, as well as the fact that several independent departments are exploring the direction of AIGC, more information is still “confidential”.

There was no response to the “whether large models were being developed”. However, there are internal statements that the large model is not an external “multisectoral participation”, and there is a lack of internal confidence in the research and development. In the view of the internal population, the red books are somewhat “unequipped” to the larger model, one that seeks to make the content more diverse and another that is worried about the “generated AI versus the content” that subverts the present autonomy, some of which are forced into the equation.

As a representative enterprise of the “economy economy”, the red books have always been deeply felt by AI. It is an area where AI is well-established and vulnerable to shocks because it depends on a living fine-tuned text and a small knowledge-based video based on poor information.

Have regulations been tightened and forced into place?

As of the draft, there had been no response to the reality of the “small red paper” model in outside coverage. However, the “Trik” AI creative application, which combines the previous front line of the red book, and the attitude of the company’s high management in referring to AIGC, can be concluded - the small red tape model and the related product technology development, are largely on board.

At the WILL Business Conference, held in February this year, in an interview with the media of the red book COO Kirknan, who spoke about the implications of AIGC for future content patterns, it was pointed out that “as technology, equipment, etc. progress, the content will become richer and more diverse, we should keep pace with technology, maintain our interest and promote the publication tools that we provide to creators”.

High-level remarks represent, to some extent, the advent of the red book on AIGC. A wave of AIGC entrepreneurship based on a large model is continuing with the development and associated layout of large models of Internet enterprises in the headlines of Ali, 100, denture, 360, philatelic, etc. In the view of those working, “the current state of the red books is not the active model, but rather the outside environment has to be pushed back”.

It should be noted that, as a social platform, the technical capacity of the red tape is not prominent, and given the high calability, data and manpower costs of the model, the probability of participation in the basic model, the large-scale industry model development is low, and it is more likely to focus on the model application chain, operate around users within the platform, and the availability of creative tools.

The “semi-injury” small infrared model, which is a mysterious legacy, is also adding to the bunkers.

On the one hand, as a result of the drafting of the Management of Generational Intelligent Services (Advisory Draft) (known as the “Management Approach”) and the introduction of public opinion, business is facing increasingly stringent clearance requirements in relation to the generation of AI products and the dissemination of technology.

The Chinese Academy of Social Sciences, Xu, revealed new waves of science and technology, and with the expiration of the recent feedback date on the management approach, “while many businesses have made many comments and suggestions, regulatory changes tend to be more inclined to understand generation AI at the content level rather than knowledge production tools, and future regulatory trends may be critical”.

Examples include the recent resonance of the “AI Sun pets” choirs of concern, such as jørn, Korean Reds and Seventh-Year Students. The Secretary-General pointed out that “the emergence of a new generation-based AI based on a large model, which, due to the fact that it would be necessary to learn from the peculiarity data of the subject of the model prior to the generation of the content, had in fact skiled off the abuser “insensitivities” to infringe on the scope of the Minas’s image and intellectual property rights, but to the extent that it was used”.

This led to the fact that, as previously the model of digital governance, the problem was largely the responsibility of the platform or the joint and several responsibilities of the platform. In the context of regulatory tightening, life-users amounting to 260 million small red books per month, wanting to participate in the larger model, have to start with a view to possible content governance and a vetting and management mechanism. This, in fact, goes beyond technological research and development, and requires considerable expenditure on audit costs.

The key to success depends on the satisfaction of the blog?

On the other hand, for large models and even for the layout of AIGC, it will not be possible to win the support of the existing platform of the red tape and will be the key to their development success.

As a business that is dominated by the economy, the fine-tuned and information-based, small knowledge-based videos on which small red books depend are the most vulnerable to AI shocks. It is likely to trigger resistance by the platform’s blogs if the brands, pictures, videos, etc. on the platform are used for training in home-based models for research and development.

Until then, while other platforms were facing a pause, nearly 327.8 million powdered wires of science and technology had been referred to as one of the main reasons why the “generated AI’s subversive of the content industry” had been referred to in the context of new waves of science and technology.

According to the Lu poetry, “as many of the former blogists, who had been created with proficiency in writing, did not have the capacity to produce pictures, video clips, etc., they recruited specialized personnel, which eventually led to a drop in the number of `labs for workers’ but began to consider compressing costs as a result of the surge in the capacity to produce scripts, videos, etc. from the generation of AI”.

After participating in the National Multi-数字 Digital Governance Forum, Mr. Xu has heard and witnessed a large number of real stories of the impact of the generation AI on digital creators and, on that basis, summed up his own perception of the generation AI — the emergence of the generation of AI, with subversives of the content industry being “tsets”, especially in the area of digital creation, such as poster creation, the creation of scripts, some of the low-level numbers of localities.

In a successful outcome, DRX-Blogne created great difficulties for GEN, with the late gang, the DRX post-Counselling mission extinguished GEN and took over it. Finally, the DRX, with Grand Lobuff, was propelled in a sound manner, taking over the competition.

BP:

The journey of LCKD from the margin to the finals of the global world race continues.

New wave declaration: the posting of this text on the new wave does not imply approval of its views or confirmation of its description for the purpose of communicating additional information.

Drozan played 39 minutes in the game, making 11 of 30 shots (2 of 3-point shots) with 29 points, plus 5 assists and 3 rebounds.

Drozan scored 25 + for the 39th time this season, becoming the player who scored the most 25 + Games in a single season in bulls history. He surpassed Derek Rose in 2010-11, when Rose won the most valuable player of the regular season with 39 25 + performances.

In addition, drozan and raven scored 25 + at the same time today, which is the 20th time that they have achieved this achievement this season, surpassing Michael Jordan and Orlando Woolrich in 1984-85 and becoming the most accomplished duo in bulls history.

The certification also shows that the new Nokia smartphone will support 10W fast charging, and the Nokia ta-1424 also appeared in the Russian certification earlier. We can’t get more information at present.

Foreign media believe that it either belongs to the recently launched Nokia C21 plus / Nokia C21 series, or it may be another mid-range Nokia smartphone.

It home learned that HMD has recently launched Nokia C21 plus \ Nokia C21 and Nokia C2 generation 2.

Nokia C21 plus is equipped with a 6.517 inch HD + display, an eight core Ziguang zhanrui sc9863a processor, a rear dual camera, including a 13mp main camera and a 2MP depth of field sensor, and a 5 megapixel selfie camera with LED flash in front.

SIMUCar2. 0 the biggest difference from the previous one is that the electronic and electrical architecture EEA and SOA of this car are updated to self-developed jet1 0, and realizes the complete integration of intelligent driving and intelligent cabin software. Two of the world’s most powerful vehicle specification chips that have been officially announced before, intelligent driving chip NVIDIA Orin and intelligent cabin chip Qualcomm 8295, have also successfully lit up the car. The operating system of Jidu smart cabin, which has not been exposed yet, has also released its first software version, including some functions developed based on SOA.

According to the car robot 0-1 roadmap released by Jidu before, the car robot cultivation of Jidu has officially entered the stage of simucar 2.0, that is, the second stage of car robot cultivation. This is undoubtedly the best birthday gift for Jidu’s first anniversary. At the same time, we can also see that it is not far from the mass production sample car and the birth of Jidu automobile robot.

Why should Jidu do jet and upgrade simucar? This is because no one in this industry has made L4 level mass production products, and there is no mature and available L4 level electronic and electrical architecture and vehicle operating system to adapt L4 level automatic driving technology for mass production.

In many technology sharing activities, Jidu has described its own jet, that is, Jidu EEA + SOA. Jet includes a self-developed L4 level electronic and electrical architecture EEA, while SOA is a L4 level vehicle level operating system. The sum of the two is actually the nervous system of automobile robot.

We all know that the name of Jidu is AI, and the meaning behind it is the great achievement of Baidu’s AI ability. In a sense, Jidu’s mission is to mass produce and deliver Baidu’s top AI capability and Apollo’s leading automatic driving capability, and provide them to users in the form of automotive robots.

Intelligent ability is the core competitiveness of Jidu. Jidu should try its best to implement intelligent quickly, efficiently and at a high level to meet vehicle regulations. Moreover, Jidu defines a strict product concept or necessary ability for its products as a moat. Jidu said that automobile robots should have three abilities: free movement, natural communication and self-growth. Those who do not have these three abilities are not intelligent cars, let alone automobile robots.

Among them, the free movement ability and natural communication ability correspond to the L4 level automatic driving ability and the simulated personalized communication of AI human-computer interaction. These are the world’s leading standards. In particular, there is no precedent in the industry for the mass production of L4 automatic driving capability. It is conceivable that it is difficult to build an automobile robot with this ability.

With a clear mission, Jidu has lived up to expectations and brought out top wisdom. Choose to start with the end and use the innovative “Automotive robot development process” to achieve this goal. Since intelligence is the highest priority, it is the front of intelligent R & D. Compared with many automobile manufacturers who build cars first and then add an intelligent function as parts. The integration front-end software development process decouples the development of software and hardware.

Jidu first divides the car robot into three parts: brain, nerve and trunk. Then, the three parts of Jidu automobile robot are built at the same time and developed in parallel.

Among them, the brain is the software of intelligent driving and intelligent cabin, which has been preliminarily formed and is the earliest one with mass production capacity. It is precisely because of the help of Baidu and Apollo that it has become the strongest ability of Jidu products. In order to be safe and reliable, this can be verified first. The verification requires a container. When the nerve is not formed and the trunk is not available, the concentration can be quickly tested with the help of another platform, simucar1 0

SIMUCar1. 0 focuses on software and hardware decoupling, dual line parallel development and key stage integration. In the development process of automobile robot, in 0-6 months, Jidu has verified the logic of intelligent driving algorithm. When the nerve and trunk are still developing and not taking shape, Zhijia’s brain is on simucar1 0 for the first time, you can see the end of 2021, simucar1 0 runs through the automatic driving of high-speed and urban dual domain integration in Beijing, and the integration is successful.

At present, in the stage of 6-12 months, Jidu is developing intelligent cabin driving software in parallel and integrating brain and nerve, which have been upgraded and formed, leaving only the trunk to be fused. Especially at 12 months, some important organs connected by nerves, two important domain controllers, ACU and CDC, with corresponding top-level computing power, have been formed and can be lit. Simucar2 is on the brain of intelligent driving and intelligent cabin 0. With its own L4 level nerve, the cultivation of Jidu automobile robot is close to mass production.

It is understood that because of its unique simucar development process, it takes about 15 months more than other manufacturers to verify automatic driving and improve safety to the highest level. Therefore, we also dare to promise that we will have the leading safe and reliable L4 automatic driving product experience at the time of delivery, rather than relying on OTA.

As for the trunk of automobile robot, it should be the least to worry about. As we all know, the last model with a vast platform ate with selfie. Moreover, the Beijing auto show is coming soon, and Jidu will soon show the concept car of the first car at the large-scale event roboday on April 18. It will be clear at a glance whether it looks good or not. It’s the first anniversary of Jidu, and the cultivation of car robots is about to be unveiled.