Hippocampus | Mask: Humanity is very likely to live in a matrix game of higher civilized simulation

Mask’s "The Joe Rogan Experience" program hosted by comedian Joe Rogan, smoking and drinking, playing big treasure sword, can be said to be eyeball.

In fact, in the two and a half-hour podcast, Mask comprehensively answered his own values, especially the explanation of him firmly, "We live in simulation", think that human civilization is likely Like the game, it is part of many simulated civilizations.
Humans may live in oneHuge and advanced computer games

Mask’s "Matrix-Style Simulation" Theory is based on the fact that the universe has existed 13.8 billion years.
Because this universe has nearly 14 billion years of history, the history of human beings is less than 10,000 years, so this time is enough for other civilization. He believes that the older civilization is likely to be our Creator and compare real life as a progress in the past decades.
"From the statistical perspective, there is a possibility that there is a civilization in such a long time, and they have found a very credible simulation method. Once the situation exists, then they build their own virtual multiple space is just a time. The problem. "
In fact, many people have mentioned that many people think that this is true, can create this simulation experiment, and they like to create "toys", and even create the universe is possible, this It is the low dimension of human creature, like high dimensions, how they created, we can’t imagine, because human thinking is always on a certain basis, we are hard to break through.
Mask also said that the analogical arguments are very sufficient, and also remind us that we don’t try to speed up the evolution of civilization, otherwise it will make the boundaries ambiguous, so that civilization is ending.
"One of these two things will happen. Because we exist, we are likely to be in the simulation."
He said that if it is this situation, then "Basic Reality" "" Basic Reality "that is used to simulate our real life may be very boring.
This is not Mask’s first sharing this idea, and he said on the Recode’s Annual Code Conference in 2016: He said:
"In view of us, we are obviously unable to distinguish between games, and these games can be played on any set of top boxes or PCs and anything else, and there may be billions of such computers or devices, then we are in the foundation reality. The probability is only one hundredty-one. "
"40 years ago, we have" pong ", which is two rectangles and a point. This is the beginning of the game. For 40 years, we have 3D simulation, and millions of online games. And technology is still developing, We will have VR and AR world soon. "
Although I can imagine that all of us may actually live in a huge and advanced computer game, physicists are indeed attracted to this idea, and in theory, it can be at least a possibility.
In fact, in addition to Mask, many science and technology leaders are obsessed with simulation theory and invest hundreds of millions of dollars. The Silicon Valley, which is a pile of companies such as Apple, Google and Facebook, and is the forefront of studying in this regard.
In 2016, the incubator Y Combinator president Sam Altman’s "New Yorkers" said that the entire Silicon Valley, including him, is very obsessed with the concept of computer simulation. He said: "Many people in Silicon Valley are very obsessed with this simulation assumption. They think that the reality we experience is the computer generated. The billionaires in the two science and technology community have been secretly recruiting scientists, hoping to bring us from simulation Liberate. "
In an interview, Mask also reaffirmed his serious concern about artificial intelligence, this topic he publicly discussed many times.But for the risk of artificial intelligence, he feels that people’s attitude is still not paying enough.
He said that one of the performances of insufficient attention is that people ignore the integration of humans and technology, but this integration has been carried out in an amazing speed.
"You are already a semi-mechanic." He said, "iPhone is actually your own extension, but now you can control the extension items you control, such as mobile phones and computers, communication between the mobile phones, and the data rate is slow. "
Mask latest five major attention:The network is the projection of the ID

In this podcast, Rogan conversed with Mask’s two and a half hours, the topic mainly focused on five aspects:
1. Main dangers of artificial intelligence are human beings become a weapon
Mask has long been a warning for the dangers of artificial intelligence. In March of this year, he said in south of Southwest China that artificial intelligence is far more dangerous than nuclear weapons, and the government should take action to regulate the development of artificial intelligence.
Mask said that the main dangers are not artificial intelligence to human attack. "There is a tricky problem here, that is, it is very attractive to use artificial intelligence as weapons. The danger is in human beings use it." On the other part of the podcasts, China Mask also added, "I tried to convince people to slow down." Slow down the speed of artificial intelligence, but this is futile. I have worked hard for many years, no one listened. "
Luogen also said, "This seems like a movie, the robot will take over everything, and you are frightened."
"But no one listens" Mask said.

2. Soon the significant progress of neural connection technology can be announced
If you can’t beat Ai, add AI.
This is the basic argument of Mask.
He believes that the future of artificial intelligence is to find ways to fuse human and machinery. In some respects, we have done it now: smartphones can be considered to have its own extension.
However, this extension and artificial intelligence relationship have bandwidth problems.
"You can’t communicate with your fingers, because it is too slow." Mask said.
Our goal is to greatly improve our biological self and digital self-communication channels, which can be achieved by neural-link technology, which helps control the long-term evolution of human and artificial intelligence.
"From the long-term perspective, this is like the purpose of neural connection, which is created a high-band width brain interface so that we can symbio with artificial intelligence."
Masque has found NEURALINK, as for the latest progress of this company, he revealed: "We will have some interesting things to announce, at least a number of levels than anything, may be considered more than anyone Be good. "
He depicted a long-term vision for this technology: adding artificial cognition to the brain "A.I. EXTENSION OF YourSelf" – The cerebral skin and brain edge system forms a synergistic relationship.
3. The society is playing with the earth "crazy game"
Mask said that in the process of more sustainable energy transitions, electric vehicles should be important as soon as possible.
"We really play a crazy game about the atmosphere and ocean. We collected a lot of carbon from the depths of the ground, then release these carbon in the atmosphere, this is crazy. We should not do this, this is very To speed up the transformation of sustainable energy. It is obvious that in the long run, we will exhaust oil. The oil we exploit and combustion is only so much. We must have a sustainable energy transportation and energy infrastructure. .
We extract hundreds of tons of carbon from the ground and discharge it into the atmosphere and ocean. This is a crazy experiment. This is the most stupid experiment in human history. Why do we do this? This is too crazy. "
4. Network landscape is the projection of ID
Mask said that the most successful online platform is the platform that resonates with our brain edge system – part of the brain is responsible for emotion, stimulation and memory, and these systems, such as social media, the intelligence of the society The share of the share is getting bigger.
"Imagine all of these things, including that original motivation, all we like, annoying, scared things, are on the Internet, they are projected by our brain edge system."
5. Once artificial intelligence becomes dangerous, supervise it is too late.
Mask said that before the government truly began to supervise an industry, it needs to develop and implement many years. Taking the safety belt regulations in the automotive industry as an example, this provision actually takes 10 years.
"This time framework is independent of artificial intelligence, starting from dangerous moments, you are impossible (supervise it) 10 years. Too late."
However, when artificial intelligence reaches the so-called singular point, what happens, no one can say it.
"It’s hard to predict, just like black holes, what happens outside your line of sight. It may be terrible, it may be very great. It is still unclear. One thing is affirmative: We can’t control it."
Mask also admitted that he still hopes to make the best contribution to humans. "I would rather keep a mistake but optimistic attitude."

finallyLet’s talk about smoking and drinking the big treasure sword.
During the interview, Masque took a whiskey, but he also took a mariha, but he didn’t like to do this, because this would make him proud efficiency decreased.
"This is like pumping a cup of coffee," Mask said, "I like to do things well, also like useful things."
The program is recorded in California, according to local laws, smoking cannabis
Whether you love him or hate him, you can’t noise Mask has such an interesting point.

[Heart News] Artificial intelligence ECG and clinical risk factors forecast atrial fibrillation

Artificial Intelligence (AI) Analysis 12 Level ECG (ECGS) helps effectively evaluate the risk of trembling (AF). However, except for clinical risk factors, it is not clear whether artificial intelligence provides meaning and further improvement of accurate prediction of AF.

The study was conducted by 12 lead electrocardiograms for long-term primary health care patients (MGH) in Massachusetts General Hospital (MGH), which was inferred by convolutional neural network ("ECG-AI"). Subsequently, three Cox proportional risk models were constructed, each model included: a) ECG-AI 5-year room fuse, b) CHARGE-AF clinical risk score, and C) ECG-AI and Charge-AF rating ("CHAI"). The researchers evaluate model performance by calculating judgment (under the area of ??ROC curve, AUROC) and calibration in an internal test set and two external test sets (Brigham and Women’s Hospital and British Bioconbound). The model is re-calibrated in the British Biological Bank, and the risk of 2 years of room tribin is estimated. The most significant electrocardiogram characteristics of ECG-AI risk predictions were studied by significant mapping, and the correlation between ECG-AI and Charge-AF linear prediction factors were evaluated.

The training set includes 4,577 (age 55 ± 17 years old, 53% women, 2171 AF incidents), including 83,162 people (age 59 ± 13 years old, 56% women, 2424 AF events). CHARGE-AF (MGH 0.802, 95% Ci 0.767-0.752, 95% Ci 0.741-0.752, 95% Ci 0.741-0.763; UK Biobank 0.732, 95% Ci 0.704-0.759) and ECG-Ai (MGH 0.823, 95% Ci 0.790- 0.856; BWH 0.747, 95% Ci 0.736-0.759; UK BIOBANK 0.705, 95% CI 0.673-0.737) Auroc comparison. The CH-AI group Auroc has the highest: MGH 0.838, 95% Ci 0.807-0.869; BWH 0.777, 95% Ci 0.766-0.788; UK BIOBANK 0.746, 95% CI 0.716-0.776). ECG-AI (MGH 0.0212; BWH 0.0129; UK Biobank 0.0035) and CH-Ai (MGH 0.012; BWH 0.0108; UK BIOBANK 0.0001) Calibration error. In significant analysis, the effect of electrocardiogram P wave on artificial intelligence model predictions is the largest. ECG-AI and Charge-AF linear predictors (Pearson R MGH 0.61, BWH 0.66, UK BIOBANK 0.41).

Table 1 Baseline Information

This study developed a depth learning model ECG-AI, using 12 lead electrocardiogram data precisely predicts the time of the atrial fibrillation. ECG-Ai uses approximately 100,000 electrocardiogram training from more than 40,000 patients from the primary health queue. CH-AI is a model of ECG-AI and Charge-AF, compared with Charge-Af, in patients with more than 80000 clinical features, a large number of clinical features of more than 80000 cases, in multiple prognostic model indicators The effect is better. ECG-AI evaluates the risk of CHARGE-AF rating containing 11 components. In addition, the study found that ECG-AI and CHARGE-AF are highly correlated, indicating that ECG-AI can largely reflect the ECG performance of the determined atrial fibrillation clinical hazardous factor. The results show that the clinical risk signal based on deep learning provides similar predictive utility, ECG-AI and clinical risk factors complement each other, enhance risk prediction skills.

Table 2 Test Concentrated atrial fuse

The Attia team has developed a depth learning model that is 80% for the model of atrial fibrillation state classification of diagnosis room fibrillation and sinus rhythm. Raghunath et al. Subsequently developed a neural network that utilizes 12 lead-optic maps to predict atrial fibrillation event. In one year, the atrial fibrillation recognition capacity is good, in subset analysis, compared with Charge-Af, performance is better. The study made substantial supplements in the aforementioned work, introduced a deep learning model, explicitly incorporating the survival time, and conducted strict epidemiological surveys, including quantitative errors, calibration, re-classification and extensive external validation. However, due to the data is not applicable, the study cannot be directly compared to the aforementioned model.

The results show that when using a strict epidemiological index to assess, the depth learning model uses an electrocardiogram to assess the risk of atrial fibrillation is reliable and effective. Specifically, the study evaluated ECG-AI of the test set consisting of independent individuals from: a) the same institution with the training set, b) independent institutions in the same medical network, c) from atrial fibrillation risk Lower different region forward-looking research queues. With the previous research results, ECG-Ai is best in the closest population closest to the training set, and the difference in different samples is small, highlighting the importance of extensive external verification in assessing clinical utility. In the end, researchers suspect that the differences in identification ability may differ from different characteristics (eg, age, baseline atrial risks), and thus the specific electrocardiogram characteristics are different from the relevance between the risks of the long-term atrial fibrillation.

This study is of great significance to the relationship between depth study of ECG hazardous signals and traditional atrial fibrillation clinical risk factors. First, the clinical hazardous factors can be performed on an electrocardiogram in a perceived manner in the deep learning model. Specifically, the ECG-AI probability and the Charge-AF score have moderate correlations in each test. In addition, the characteristics map and median waveform analysis have found that ECG-Ai probability is largely influenced by atrial decoder and a replenishment period, and the atrial structure and function may be affected by chronic diseases such as age and hypertension.

Second, the depth learning model seems to extract a risk factor complementary to clinical hazardous factors. CH-AI is a combination of CHARGE-AF and ECG-AI, which always shows better AF identification, calibration, and re-classification. This shows that the predicted effect of the model combined with the clinical risk information and the artificial intelligent veneer risk is significantly improved compared to any of the methods alone. Similarly, atrial fibrillation is significantly higher based on the risk of ECG-AI and Charge-Af, based on the use of two models alone. In addition, the predictive differences in CH-AI and Charge-AF are more significant over time, which may be related to the time accumulation effect of clinical risk factors, while the authentication of ECG-Ai remains relatively unchanged, prompting an electrocardiogram-based atrial fibrillation Risk predictions can contribute the most in short-term predictions.

The design background is explained below. First, the researchers conduct ECG-Ai training for individuals who conduct at least one ECG clinical examination. At the same time, the patient baseline information includes each component of the charge-AF rating. These two requirements have introduced potential selection bias. However, the study included EHR samples accepted longitudinal primary care may reduce bias, and the research model continues to distinguish AF in a completely independent forward-looking queue study. Second, the research training set represents an individual of a single mechanism. Training for larger samples in multiple institutions helps to generate more accurate and more universal models. Third, due to the limited follow-up of British bio-bank, the evaluation time window is 2 years, while MGH and BWH are five years.

Fourth, ECG-AI is a black box model. However, compared with the previous AF prediction model, the study uses a significant mapping and median waveform analysis, and the biological reasonable electrocardiogram changes (for example, P-wave duration prolong) have the greatest impact on the AF risk assessment. Fifth, 5 years of predictive window may represent the risk of atrial fibrillation, but it cannot be intervened immediately. However, the study also has a consistent difference in a shorter time window. It is not yet excluded that ECG-AI recognizes the previously have unexposed atrial vibration. Sixth, ECG-AI and CH-AI need to recalibrate in Biobio Bioconbanks. It is necessary to recalibrate when replacing the prognostic model. It has been very accurately estimated by simple recalibration of the incidence of the atrial fibrillation of BBBs. Tip The initial calibration error can be completely attributed to the incidence of baseline atrial fibrillation in the British branch, approximately one-third of MGH and BWH. In addition, CH-Ai has a better calibration effect than Charge-Af, although Charge-AF has a similar recalibration in Bio Biological Bank.

Figure 1 Research overview

Figure 2 identification of atrial fibrillation

Figure 3 Correction of atrial fibrillation

Figure 4 In accordance with predicted risk stratified atrial fuse

Figure 5 ECG-AI depth learning model two visual behavior forms

In summary, in three independent test sets of more than 80,000 people, ECG-AI (a depth learning model using 12 lead electrocardiogram clearly predicts the time of AF occurrence time) is compared to Charge-AF clinical risk score containing 11 components. Provide a 5-year AF risk forecast similar to the effect. The CH-A model combines Charge-Af and ECG-AI to identify, calibrate, and re-categorize more accurately. Based on the depth learning ECG’s atrial risoting assessment has the potential for wide application, it can provide accurate and promotion of atrial fuser risk assessment within a few years of ECG inspection.


Khurshid Shaan, Friedman Samuel, Reeder ChristoPher, et al. Electrocardiogram-based deep Learning and Clinical Risk Fabrtors to Predict Atries, 2021, In Press.

Medical Health Industry Weekly | Micro-Clun Artificial Intelligence Strategic Investment Mouthwash Brand "Respiratory Ocean"; China’s first full magnetic suspended artificial heart approved

In recent years, the innovation of medical and healthy industry has continuously emerged, and it has developed one of the most active industries, 36 witness and accompanying the growth of innovative enterprises in this field, and bringing professional voices to the industry.

To this end, 36 has launched the "Medical Health Industry Weekly", which will be issued regularly, providing readers with capital, policies, finance, new products and other industry information.

November 28, the medical health industry weekly, please check. The industry weekly reported the financing news reported by the "36 Venture Channel" in the medical and health field of this week, as well as other domestic and foreign industry news.

  • Micro-cloud artificial intelligence strategy investment mouthwash brand "breathing ocean"

The mouthwash brand "Respiratory Ocean" has obtained Micro-cloud artificial intelligent investment. It is reported that this round of financing will be used in the offline channel development. "Respiratory Ocean" focuses on the field of mouthwash, according to the introduction, its first product adheres to the alcohol-free partner, using mild antibacterial submethum, adding citrus lemons, etc., pregnant children can also use. According to company founders Luo Xiaobai, "breathing ocean" is currently sold through e-commerce channels, and has not yet been provided.

36 first | strategic investment mouthwash brand "breathing ocean",? Micro-cloud artificial intelligence accelerated layout oral market

  • "Winter Thunder" won the 200 million yuan C wheel investment in China

The Winter Leader Group (hereinafter referred to as Winter Lisco), which is built by the doctor group, has completed the 200 million yuan C wheel financing, which is exclusively investing by China. It is reported that the Winter Lead will use this financing fund to accelerate the strategic landing of "one-piece two wings", and implement the brain physical hospital + full life cycle brain health management + brain science research and platform hatching strategic model. This round of financing is a exclusive financial adviser by Yikai Capital. Winter Lisco was founded by Professor Song Dongley, chief physician, Huashan Hospital, Fudan University, from 2015, has developed from 2015 to the present, by 2019, has realized Shanghai Winter Thunder Hospital entities.

36 first | Social doctors continue to be recognized, "Winter Thunder" won the Chinese 200 million yuan C wheel investment

  • Art Miao Shenzhou completed hundreds of millions of dollars strategic financing

Beijing Yimomiao Shenzhou Medical Technology Co., Ltd. completed hundreds of millions of D round strategic financing. This round of financing is jointly participated by the National Souven-Health Fund lead, Guangfa and Shuishu, and Yajie Angel, as well as the company’s existing investor countries, and Longmen Fund continued support. This financing fund will be used to accelerate clinical promotion pace and commercial production and development, and promote the company’s IM19 has become the first domestic self-developed cell drug while expanding product line representing solid tumors and UCART.

  • Micro-long gene completes 300 million yuan D round financing

Guangzhou Micro-long gene declares D round financing of total amount of 300 million yuan. This round of financing has been brought to many old shareholders such as Boxing Investment, the front wheel leader and Dinghui VGC, and the funds raised by the financing will mainly use the product development and upgrade, medical device product registration, industrial chain layout and other strategies. direction.

  • Reading Technology completes hundreds of millions of yuan A + round financing

The reading science and technology announced the completion of hundreds of millions of yuan A + round financing, and the investors included Daxie Capital, Rongquan Ventures, Tianshi Capital, and Shanda Group’s Investment Fund. The fundraising funds will be used to accelerate the multi-product parallel R & D, China and American clinical trials and commercialization. At present, the reading technology has developed a variety of cardiovisual and brain-based imaging assistance, including the first CT-FFR product pulse? Completed China’s clinical trials, it is expected to receive NMPA III medical equipment registration certificates in 2022 , FDA certification and the US clinical trial process have also started. Software shadows in full-heart function evaluation, relying on DSA images to complete software silhouettes of coronary vessel morphology and functional analysis, cerebrovascular physiological function assessment software skull? Successful innovative products have also entered the clinical trial stage.

  • Rui Rui bioreases PRE-A round financing

Beijing Rui Rui Biotechnology Co., Ltd. announced the completion of nearly billion PRE-A round financing, from Chen De Capital, Shaanxi Growth, Sunshine Ronghui, Chang Development and other institutions, the old shareholder Anlong Fund added investment sustained support. This round of financing funds will be used in a number of clinical line proposals, including HPV-positive cervical cancer and head neck tumors, KRAS G12V mutant colorectal cancer and pancreatic cancer, TCR-T cells, and related TCR proteins Drug products.

  • Class 1 Biological New Drug Enwali single anti-injection liquid (KN035) obtains attachment approval

Corning Jerry and the Thoughts Di Pharmaceutical, the first class of creatures reached a strategic cooperation in the prognosis of the pharmaceutical cooperation (KN035) has been approved by the attachment. The adaptation approved by the Enwali monocker is: adaissions for adults in adults in adults (MSI-H) or mismatch repair gene defective (DMMR), non-removable or metastatic microsateree, Internal patients with advanced colorectal cancer in patients with disease progression after treatment with fluorouracil, O’Soliplatin and Ilikang and other advanced solid tumors in which disease progression and no satisfactory have no satisfactory replacement treatment plan.

  • Guangzhou Shunjian Biomedical Technology Co., Ltd. 1 type of innovation drug Orebetni tablets approved

The 1 type of innovative drug declared by Shunjian Biomedical Technology, Orebet Niibi has been approved in the recently approved. The drug can be used to treat any tyrosine kinase inhibitor resistance, and use a fully verified detection method to diagnose chronic myeloid leukemia chronic or accelerated adult patients with T315i mutations. This variety is a drug in China to approve chronic myeloid leukemia indications with T315i mutations.

  • Idea Conservylowali single anti-injection is approved

Enwo Lee Anti-Note (Commodity Name: Enva) by Sichuan Sichuan Cori Pharmaceutical Co., Ltd. has been approved by the priority review approval process. This approved adaptation is: treatment for adult advanced solid tumor patients with non-resection or metastatic microsatellite height unstable (MSI-H) or mismatch repair gene defective (DMMR), including past fluorouracil, Other advanced solid cancer patients with disease progression after treatment after treating diseases, and past treated diseases and other advanced solid tumors in which disease progression and satisfactory replacement treatment regimens were treated.

  • Yusheng Medicine Original 1 Class New Drug Orebet Niki is approved

Yosheng Medicine Original 1 New Medicine Orebati (Commodity Name: Nelg) was approved for the treatment of any tyrosine kinase inhibitor (TKI) resistance, and diagnosed with fully verified detection method Adult patients with chronic myeloid leukemia (CML) or an acceleration period (AP) with T315i mutation.

  • CCD CHENCKEK? Get a batch of leukemia for treating chronic myeloid

Cinda Original 1 Class 1 New Drug Orebati (Olverembatinib, Product Name: Ekima) officially approved by the China National Drug Administration ("NMPA") for treatment of any tyrosine kinase inhibitor ("TKI") drug resistance, and uses a fully validated detection method to a chronic period (CP) or an acceleration period (AP) adult chronic myeloid leukemia ("CML") patient with T315i mutation. This is the sixth product approved by the company, as well as the second approved small molecule product.

  • Junshi Biological anti-PD-1 monopoly anti-batch nasopharyngeal carcinoma

The PD-1 inhibitor of Junshi Biological R & D Tripili Anti (Duo) New Indications has been approved. This approved new indication is: Tripili combined withdrawal treatment for recurrent metastatic nasopharyngeal carcinoma (NPC) of the late line unreachable systemic treatment. This is also the fourth indication of Tripili combined in China after melanoma, nasopharyngeal carcinoma (three-wire treatment) and urinary tract.

  • The front line | Start large-scale prospective study, 鹍鹍 生物 癌 早 早 早筛 技术 技术 技术 技术 技术 技术 商 商 商 商 商 商 商 商

36 learned that Shanghai Yuyuan Biotechnology Co., Ltd. jointly established and Shanghai International Human Phenotheracery Research Institute, and China’s 11th National Top Hospital in Shanghai, China. Screen research.

It is reported that the proposal study of the premature proposal of the inner carcinoma is expected to be more than 60,000 people, covering 10 provinces and municipalities in East China, North China, South China, Southwest.鹍 鹍 生物 自主 自主 的 癌 早 早 产品 早 早??? 商 商 商 商 商 商 商 商 商 商 商 商 商 商 商 商 商 商 商

In addition, the "Welfare Plan" expert committee was published by Wang Chen, Wang Chen, Chinese Academy of Medical Science, Academician, Nanjing Medical University, Academician, Zhongnan University, Zhou Hongqi, Zhongnan University, Shanghai Branch Zhao Guoshan, Academician, Shanghai Branch, School of Health, Fudan University, Taizhou Health Science Research Institute 30 more than 30 Top expert consists …

  • The front line | The first full magnetic suspension artificial heart was approved by the city, and the artificial organ entered the harvest.

On November 26th, the artificial heart R & D enterprises were in concentric, and the new generation of all-magnetic suspended artificial heart CH-VADs with complete independent intellectual property rights was officially approved.

It is reported that this is the first domestic artificial heart with NMPA approved by China, and has obtained many patents in China and the United States. It will bring hope for patients with heart failure in China.

With the advancement of medicine, the incidence of a variety of cardiovascular disease is greatly reduced, but as a final development stage of various heart diseases, cardiac failure has become the only disease in the field of cardiovascular disease …

Editor: Don Yu Ting

OnePlus smartphone lineup decoded: OnePlus 9 Pro to OnePlus Nord CE, which phone is for you?

Selecting a OnePlus phone was much easier when the brand launched the OnePlus One back in 2014. While getting your hands on one was difficult due to the invite-only system, one could simply put their money on the latest OnePlus device and stay assured of making the best possible purchase.

However, the brand now has multiple parallel series. These include the classic OnePlus (number) series, along with a OnePlus (number) Pro, a OnePlus (number)T, and even a rumoured OnePlus 9RT. That is apart from the entirely separate Nord series of mid-range devices. If that feels too confusing for you, go through our in-depth look at the brand’s smartphone lineup to understand which OnePlus phone is the best pick for you.

OnePlus (number) series

The OnePlus (number) series is the longest running series the brand has had, from the OnePlus One all the way to the current OnePlus 9. The flagship phone is a good balance between sleek design, all the latest features, clean software and a fast, performance-oriented experience, although it is not the best the company can offer in terms of display quality and camera performance.

The current iteration of the OnePlus (number) series is the OnePlus 9. It features a 120Hz AMOLED screen, the Snapdragon 888, up to 12GB RAM and 256GB UFS 3.1 storage. There is a 48MP+50MP+2MP triple camera and a 4,500mAh battery with 65W fast charging.

OnePlus (number) Pro series

The Pro series started with the OnePlus 7 Pro and today it is the brand’s most powerful sub-category. The OnePlus 7 Pro, 7T Pro, 8 Pro and 9 Pro have offered the best flagship experience the company can offer year after year, including camera performance, general performance, display quality and design. These are also the brand’s most expensive phones.

The current phone in the series is the OnePlus 9 Pro, which comes with a 6.7-inch AMOLED panel with 120Hz, a QHD resolution, the Snapdragon 888 chip, up to 12GB RAM, 256GB UFS 3.1 storage and a 48MP+8MP+50MP+2MP quad camera setup. It also features a 4,500mAh with 65W wired and 50W wireless fast charging.

OnePlus (number)T series

The OnePlus 6T, OnePlus 7T and OnePlus 8T are basically smaller updates to the number series that come in about six months after the launch of the original phone. For instance, the 7T launched about six months after the OnePlus 7, and stood between the OnePlus 7 and 8. Similarly, the OnePlus 8T stood between the OnePlus 8 and 9.

The brand has confirmed that there will be no OnePlus 9T this year, and the future of the OnePlus (number)T series is currently unclear.

OnePlus (number)R series

OnePlus also started a new ‘R’ series with the OnePlus 9R. The R series currently has only one device and it stands as a budget flagship alternative to the brand’s true flagships, the OnePlus 9 and 9 Pro, which have now become very expensive.

The R-series is also made possible from this year because of Qualcomm splitting its flagship Snapdragon 800-series chips into two distinct categories – the medium-grade flagship Snapdragon 870 (which is a tiny upgrade to the 865 Plus) and the more powerful Snapdragon 888.

The (number)R series will presumably feature Qualcomm’s mid-level flagship chips moving forward while the main OnePlus number and Pro series will feature the more powerful Snapdragon 888 chip and its successors.