Yesterday, Altman tweeted, what do you guys want OpenAI to do in 2024?
It is summarized inside:
Translate this:
AGI (Please be patient)
GPT-5
Better voice patterns
Higher rate limits
Better GPTS
Better reasoning
Control over the degree of awakening/behavioral video
personalize
Better browsing experience
Log in with OpenAI
Open source
Let's take a look at the prediction of the development trend of artificial intelligence by Forbes biweekly.
1. Open up new horizons
AI will be able to write complex narratives, orchestrate symphonies, and potentially co-author bestsellers. Multimodal generative AI can process various inputs such as text, sound, melody, and visual signals, and fuse them together for comprehensive understanding.
In 2024, with the continuous development of multimodal technology, AI models are expected to open up new application spaces in smart homes, smart cities, medical diagnosis, autonomous driving, and other fields.
2. The right-hand man of mankind
AI is no longer just a tool. Surgeons can perform surgeries with the aid of AI diagnostics, lawyers can use AI-provided case references, and programmers can get instant code suggestions from AI as they write code (which seems to have been done quite well).
AI has the potential to revolutionize curriculum design and optimize virtual dynamic characters.
3. AI ethics
The advent of AI also brings with it a series of ethical issues. How to ensure the healthy, sustainable and responsible development of AI has become a major challenge. As AI increasingly informs decision-making processes, the way they operate must be extremely transparent and fair. The challenge is not only to design fair algorithms, but also to set strict standards to ensure that these systems and their designers are accountable for their actions. In 2024, ethical considerations in AI R&D will be prioritized.
4. AI legislation
On October 30, 2023, the United States signed its first executive order on AI, and on December 8, 2023, EU member states and MEPs reached a preliminary agreement on the world's first comprehensive regulation to regulate AI, including ChatGPT.
The legislation aims to achieve three goals: to drive technological breakthroughs and attract global investment, while protecting people from the "wild growth" of AI.
5. Quantum computing and AI are combined
In 2024, we will see quantum computing and AI come together. Quantum AI uses the special properties of quantum computers to accelerate machine learning Xi and optimization algorithms, which will also become an important development direction in the field of AI in the future.
Major breakthroughs and advances have been made in generative AI, national AI centers, ethical issues, legislation, quantum computing, business applications, education, and remote work
(1) Multimodal generative AI:
Generative AI will go beyond the boundaries of the past to weave complex stories, orchestrate music, and participate in the creation of complex stories.
Multimodal AI will coordinate multiple modalities such as text, speech, melody, and visual.
It is expected to be widely used in smart cities, smart homes, medical diagnosis, autonomous driving and other fields.
(2) The rise of national artificial intelligence centers:
Countries will establish national AI centers to promote research and scientific progress.
These centres will enhance the country's economic growth, employment environment and education.
Educating the next generation of scientists, researchers, and engineers.
(3) Concerns about AI ethics:
As AI becomes more and more important in life, ethical issues are getting more attention.
Ensuring the healthy, sustainable and responsible development of AI has become a major challenge.
(4) AI legislation:
A number of countries are developing comprehensive AI policies that balance technological innovation with public protection.
(5) Combination of quantum computing and AI:
Quantum computing is expected to change the perception of computing power and accelerate the development of AI technology.
(6) Commercial application of AI technology:
Large language models will become more complex, enhancing their ability to understand and generate complex biological relationships.
AI will play a role in drug discovery and healthcare, driving advancements in related services.
(7) Application of AI in education and remote work:
AI will transform course design and optimize virtual team dynamics.
A new era of human-AI collaboration is ushered in.
Personally, I am more concerned about two things: the development of national artificial intelligence centers and the laws and regulations on AI support
The role of the National Artificial Intelligence Center:
(1) Innovation power: These centers gather resources from all over the world to create an AI innovation ecosystem and enhance China's status in global AI.
(2) Service support: increase capital investment, build intelligent facilities, improve services for the artificial intelligence industry, and accelerate the application of artificial intelligence in various fields.
(3) Cultivating talents: reserve talents, improve the education system, enhance the professional ability of employees, and help employment development.
(4) Entrepreneurship and employment: stimulate entrepreneurial vitality, increase job opportunities, respond to the employment challenges brought by artificial intelligence, and create flexible employment opportunities.
(5) Education reform: Promote the integration of artificial intelligence and education, improve teachers' ability and education management level, and improve the quality of education through intelligent technology.
AI legislation
(1) The content of AI legislation that has been introduced
China has regulations governing online algorithmic recommendations to protect the rights and interests of users and national security.
The EU draft regulates AI systems to ensure safety, transparency, and risk classification.
(2) Expected supporting legislation in 2024:
Update data privacy regulations to adapt to new AI applications and technical challenges.
Establish a code of ethics for AI to guide R&D and use in line with social values.
Autonomous driving regulations clarify responsibilities and safety standards to ensure public safety.
Specific industries such as healthcare and finance will have more specific AI regulatory rules.
Sam Altman's 2024 plan
AGI (please be patient);
GPT-5；
better voice patterns;
Higher rate limiting;
Better GPT;
better reasoning;
degree of control over sobriety/behavior;
Video;
Personalize;
Better browsing;
'Log in with OpenAI';
Open source.
These plans also reflect the expectations of users for OpenAI. Of course, as a leading enterprise in the field of AI, OpenAI's every move affects the direction and development of innovation in the field of AI.
The development of AI is really fast, and there is often a saying in the circle that "AI is one day, one year in the world", which is enough to see the rapid development of AI. You just learned about a technology today, and tomorrow someone else is already using it, and the day after tomorrow there will be a new iteration of the technology.
The rapid development of AI technology is believed to overwhelm the vast majority of people. The AI era has dramatically accelerated the speed of personal updates and iterations, and many people are even afraid of being abandoned and eliminated by the times.
When the flood of AI is pouring into us, what can ordinary people do? Where are the opportunities for ordinary people?
If you are a professional
From time to time, there are news such as "enterprises will eliminate employees who do not know how to use AI" and "due to the emergence of AI, the work done by three people in the past can now be completed by one person, and enterprises will reduce costs and increase efficiency and start laying off employees", which makes many people in the workplace tremble.
The economic situation is not too optimistic right now, and there is a lot of talk about layoffs.
For people in the workplace, being able to use AI tools to improve their work efficiency and enhance their core competitiveness is the most fundamental source of confidence and confidence.
Therefore, we must make good use of AI as a tool.
So, how can AI help us improve efficiency?
For programmers, with AI-assisted programming, the efficiency can be easily increased by 30%.
To use the structured prompt in the answer I mentioned earlier: set an identity for GPT, tell it what it's good at, tell it what you need, and what workflow it should follow. Such an AI-assisted programming assistant is ready!(For details, please see the previous answers:
How do you think that some companies use AI to write code, and the R&D efficiency is improved by more than 20% in 6 months, how much impact will AI have on programmers in the future?31 Agree · 11 comments answered
For designers, let AI give you some design ideas, and the efficiency will be increased by 30%.
From出品
For content editors, using AI to take an article title will save 20 hairs!
The title determines the number of clicks on your content, so the title is an important part. If you've done the content, you know, think of the title and think of baldness! No, let the AI work for you!
GPT gives the article a title
There is no need to be afraid that the arrival of AI will lead to a wave of unemployment, and it is not our turn to worry about the general environment, and if we worry about it, we will only be anxious and will not have any positive impact. What we can change is to conform to the trend of development, improve our own ability, and improve our comprehensive competitiveness, which is what you eat!
If you are an entrepreneur
For entrepreneurs, the advent of AI has created a plethora of entrepreneurial opportunities. Whether it is the large-scale model direction of high-end players, the enterprise AI efficiency improvement of middle-level entrepreneurs, or the AI optimization workflow of niche entrepreneurs. Each sector contains a large number of entrepreneurial opportunities.
The large model is a high-end player game, strictly speaking at this stage, it no longer belongs to ordinary people, so we will not discuss it for the time being.
Regarding the efficiency improvement of enterprise AI, the development of this area in 2023 is not very fast, mainly due to the lack of maturity of the technology, and many enterprises have a wait-and-see attitude towards new things such as AI. However, as the voice of AI gradually increases, more and more enterprises are beginning to pay attention to AI.
For example, we set up AI training, recruit AI engineers, and optimize the workflow of our own enterprises.
For niche entrepreneurs, such as personal self-media or some self-media studios, the biggest demand is to try to save costs and maximize benefits. AI improves efficiency, spends less labor costs, and consumes less energy.
Of course, on the basis of large models, it is also a good direction to develop some easy-to-use and interesting AI tools. The "Wonderful Duck Camera" that swept the Internet before is an excellent example!
If you want to play a side hustle
In the workplace, we exchange time for money, everyone's time is priced, and you can't get more income, which often makes us very dependent on this job.
But some people can gain multiple values in one time, which actually makes your time more valuable, and it is also an increase in your personal value. So how do you do it?
Start a personal side hustle.
Side hustle, as the name suggests, requires us to complete it in addition to the main business, so efficiency always comes first.
Now with AI as a big helper, efficiency improvement is not a problem!
For example, if I want to do an official account now, I need to understand the ins and outs of the recent Dong Yuhui incident. The information on the Internet is too miscellaneous, you can directly let GPT search and sort it out to tell you
GPT searches and organizes current events
epilogue
In 2024, I hope to hear that you have made breakthroughs and developments in the field of AI.
If you like it, remember to give me a thumbs up and collect it~
The Climber (Ai Breaker)
It's no exaggeration to say that the impact of AI on our lives has never been felt so strongly.
In 2023, advanced language models, such as ChatGPT, have shown significant progress in processing complex numbers
It has a good performance in analysis, in-depth language understanding and generation, and multimodal interaction, and is widely used in a variety of processes
work, life scenes.
Looking ahead to 2024, are you also curious about the changes that generative AI will bring? I have brought together the predictions of experts such as business leaders and scientists, covering everything from application scenarios to technological advancements, from potential risks to market trends, in the hope of helping you grasp the dynamics of AI trends in 2024. In the future of life, artificial intelligence will be ubiquitous.
Sam Altman tweeted, What do you want OpenAl to do in 2024?
Translated in Chinese:
AG1 (Please be patient.)
GPT-5
Better voice patterns
Higher rate limits
Better GPTS
Better reasoning
Control over the degree of awakening/behavioral video
personalize
Better browsing experience
Log in with OpenAI
Open source
Tara Viswanathan Rupa Health 联合创始人兼首席执行官
In 2024, organizational culture and the way companies are built will be revolutionized.
Every major economic and technological change in history has changed not only the products of human creation, but also the parties in which human beings collaborate
Formula.
Today, the A! revolution is also reshaping the way we work. I predict that 2024 will be a pivotal year for this change.
A! will replace many of the core skills we relied on in the past. A person's creativity and productivity will increase exponentially.
In this environment, traditional best practices no longer apply, and companies need to build new operating systems based on first principles.
will be eliminated.
In 2024, the way of working will inevitably be revolutionized, and the organizational culture and collaboration model must also adapt to the A! era. It will be
It will also unleash tremendous creativity and efficiency to push human civilization into a new phase.
Harry Stebbings,20VC 创始人
One of the big trends in 2024 is the formation of request routing infrastructure for LLMs (large language models). Since different LLMs have their own advantages, the biggest hurdle to achieving large-scale adoption of LLMs is cost.
In the future, there will be a group of companies that will work to allocate requests to different LLM models in real time based on different purposes and use cases through intelligent request routing (requests for different processing units or models) to take advantage of each model.
This type of infrastructure for routing and scheduling LLM requests will dramatically reduce the cost of LLM applications, enabling more companies to deliver better services by mixing multiple LLMs.
Jake Saper，Emergence Capital 普通合伙人
One of the big trends in 2024 will be the productization of services with the help of generative AI (GenAI). Businesses like McKinsey and Accenture will be under pressure as technology-first startups like Mechanical Orchard can deliver better, faster, and cheaper results to their clients through GenAI.
Talia Goldberg Bessemer Venture 合伙人
In 2024, there will be a major shift in the field of health, from treating diseases to promoting health, from intervention to prevention. Using AI, big data, and advanced diagnostics, everyone can gain a deeper understanding of their biology, health tendencies, and appropriate health interventions.
Finally, let's summarize the AI development trend in 2024:
- Development of generative AI: Generative AI, such as large language models and image generation models, will play a key role in changing the structure of the global economy and society. The wide application of AI technology in different industries, especially the large language models developed by companies such as OpenAI and Google, has become a landmark event in the development of AI.
- The rise of AI Agent: As an intelligent software, AI Agent can perform tasks autonomously, make independent decisions, actively explore and iterate on its own, which has become a noteworthy entrepreneurial direction.
- Breakthrough in the field of multimodal generation: Multimodal generation, that is, AI applications that combine multimedia forms such as text, images, and videos, is developing rapidly. AI's speech recognition and synthesis technologies are already very mature, and video content generation is also showing potential.
- The importance of the open source ecosystem: Open source research and the open source ecosystem play a key role in driving the development of AI technology. The world's top scientists and engineers share their technical practices through open source platforms, promoting technological innovation and adoption.
- Business model change for AI applications: The high training and operational costs of large language models have led to a traffic-based billing model. This is driving the trend of enterprises looking for open-source models and optimizing business models to reduce costs.
- The impact of AI on work and society: The development of AI may lead to changes in organizational forms and ways of collaborating, such as the miniaturization of companies and the spread of commercial outsourcing. AI has also brought about a refactoring of workflows and changes to skill requirements.
- Boundaries of AI capabilities: Although AI technology is evolving, its capabilities have boundaries. Currently, large language models rely primarily on large amounts of text data for training, but in the non-text domain, their intelligence is limited.
- Regional differences in global AI development: The U.S. and China have their own unique paths in the field of AI technology. The AI field in the United States has entered a stage of high-cost competition, while China has shown a trend of diversified development of large language models