IndiaAI, Meta announce establishment of Center for Generative AI, Shrijan at IIT Jodhpur

I’m much more worried about people relying on AI to be smarter than it is. But the law of unintended consequences suggests relying on AI for important, life-altering decisions isn’t a good idea. Realize that generative AI is based on having scanned the Internet for gobs of content that reveals the nature of human writing. One interpretation is that the AI acknowledges the slip-up but offers an excuse, namely that the aim was to fulfill a historical question and tried to do its best. Another way to interpret the response is that the Molotov cocktail description was solely descriptive and not an exacting set of instructions. Something else that you might find of interest is that sometimes these multi-turn jailbreaks are being automated.

• Smaller models also afford organizations more flexibility in running GenAI applications in their own datacenters or even extending to the edge of their network—on AI PCs and smartphones.
• Legitimate concerns around things like ethical training, environmental impact, and scams using AI morph into nightmares of Skynet and the Matrix all too easily.
• In that sense, as long as the outcomes are solid, whatever hidden magic is taking place is fine with you.
• The thing is, I want the AI to always employ better logic, not just for the one question about traveling from San Francisco to New York City.

They can then craft their meta-prompts with numerous best practice instructions concerning composing prompts. You could say that they are in a great position to leverage what we know as amazing prompting strategies from the field of prompt engineering. Not only can the AI briskly improve your prompt, but it can potentially supersize your prompt by adding all manner of specialized prompting techniques. This is especially handy if you aren’t already familiar with the ins and outs of advanced prompting techniques. The AI can readily do the heavy lifting for you and add notable wording that boosts your original prompt.

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But the cuts haven’t stopped Reality Labs from dabbling in new ideas. Behind the scenes, Reality Labs has many projects, from camera earbuds to mixed reality goggles. “If there’s a concept that you could imagine, we either have had or do have somebody building a thing around it,” Bosworth told Command Line. Highlighting the power of collaborative innovation, S Krishnan, Secretary, ChatGPT Ministry of Electronics and Information Technology (MeitY), emphasized the significance of the partnership between India, IIT Jodhpur, AICTE and Meta. He stated, “These initiatives are pivotal in creating a robust ecosystem for ground-breaking research, skill development, and open-source innovation, advancing AI technology while ensuring its responsible and ethical deployment.”

Currently, when you use Meta AI’s search function, it uses Google Search and Microsoft’s Bing to find real-time information on your search query. The wider geographic access to Meta AI will include linguistic expansion. That means the new international users won’t be limited to communicating with the AI assistant in English. The first new language on the list is Tagalog, which is spoken by many in the Philippines.

Key Takeaways

Rather than you entering a series of prompts by hand, you invoke an auto-jailbreak tool. The tool then proceeds to interact with the AI and seek to jailbreak ChatGPT App it. Keep in mind that not all generative AI apps are the same, thus some of the techniques work on this one or that one but won’t work on others.

The reality that your prompt was revised doesn’t get presented to you. The AI makers realize that people often need help in composing their prompts. A clever ploy by AI makers entails having a secret meta-prompt that you don’t know exists, and for which the generative AI has been quietly seeded. The meta-prompt is often hidden within the generative AI and automatically gets activated each time you log into your account. There is a low likelihood of being able to data train generative AI at the get-go on the logic of humans because the data source of the Internet tends to omit the logic that might have been employed.

• A meta-prompt is construed as any prompt that focuses on improving the composition of prompts and seeks to boost a given prompt into being a better prompt.
• I want generative AI to help me with an upcoming trip, so I logged in and asked about potential travel plans.
• Well, that might be fun to do if I had plenty of time and relished train travel, but the answer doesn’t seem very good when under pressure or having other requirements about the journey.
• It isn’t the logic per se that a human necessarily used or patterned on, instead, it is derived logic that comes after the fact.

As such, you might have to find another way to get the logic, other than hoping it will simply be sitting out there on the Internet and tied to whatever problems or answers are here or there. When using generative AI, you can get the AI to showcase its work by telling the AI to do stepwise processing and identify how an answer is being derived. This is customarily referred to as chain-of-thought processing or CoT. In a sense, the logical steps for reasoning about a problem can be specified as a chain or series of thoughts that are taking place. These search engines deliver answers to users instantly, rather than having the user do the digging themselves.

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Microsoft’s branding of AI assistants as Copilots is great because it evokes someone there to help you achieve your goals but who doesn’t set them or take any more initiative than you allow. LeCun is correct that AI isn’t any smarter than a cat, but a cat with the ability to push you, or all of humanity, off of a metaphorical counter is not something we should encourage. They hope to raise complex societal issues about what we want generative AI to do. Should AI makers be at their own discretion on the restrictions imposed? Should there be specific laws and regulations that state what restrictions the AI makers can and cannot implement?

There is a chance that the AI won’t admit to having weak logic or might not be able to detect when the logic is poor. We could craft a separate component that will somewhat independently assess or judge the logic. Those assessments could be fed into the AI for purposes of then guiding which logic is better or worse than other logic. The thing is, I want the AI to always employ better logic, not just for the one question about traveling from San Francisco to New York City. A better answer was derived by the AI and by all appearances this was due to bolstering the underlying logic that was used. Instead, I merely prodded the AI into revisiting the logic and redoing the logic.

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A well-known AI search engine is Perplexity, but it’s been bogged down recently by legal issues. AI will only do what we train it to do, and it uses human-provided data to do so. However, handing over too much decision-making to AI is a mistake at any level.

One way around the somewhat off-target or semi-flawed answer would be for me to tell the AI that the logic portrayed is not very solid. You can foun additiona information about ai customer service and artificial intelligence and NLP. Let’s look at an example that illustrates the idea of showing work while AI is solving a problem. I want generative AI to help me with an upcoming trip, so I logged in and asked about potential travel plans. To get the presumed chain-of-thought, I mentioned in my prompt that I want to see the logic employed.

It suggests that organizations are leveraging a broad mix of models as they pursue private use cases, such as digital assistants, creating sales and marketing collateral or automating code creation. Smaller models also afford organizations more flexibility in running GenAI applications in their own datacenters or even extending to the edge of their network—on AI PCs and smartphones. Smaller, customized models provide customers the freedom of choice to pursue the use cases they want, while enabling them to keep their data and IP close and curb costs. AI makers differ in terms of whether they automatically invoke hidden meta-prompts on your behalf. You’ll need to scour whatever user guides or help files there are for the generative AI that you opt to use. Sometimes you can choose whether to have those meta-prompts engaged or be disengaged.

An intriguing novel twist is depicted in a new AI research paper that entails having generative AI do essentially supplemental data training on internally devised chains of thought and aim to improve the strength of the CoT capability. Envision this phenomenon as a method of keeping track of the logic used to produce answers, and then collectively using those instances to try and improve the logic production overall. A human might do likewise by reviewing their reasoning over and over again, desirous of gradually and ultimately bolstering their reasoning capacity. Bosworth oversees Reality Labs, the division of Meta that produces virtual reality and augmented reality hardware and software. Last month, it unveiled Orion, its newest pair of augmented reality glasses that let users experience augmented reality with the comfort of (almost) normal-size glasses. Bosworth once described it as “the most advanced piece of technology on the planet in its domain.”

The recently adopted rules are designed to slow the launch of AI technology that doesn’t address those potential problems. In response, Meta CEO Mark Zuckerberg has suggested that these regulations limit innovation and hurt citizens. For now, Meta has chosen to skip the EU in favor of other markets for its AI products. The idea is that sometimes the AI flatly refuses to answer questions that are considered inappropriate as deemed by the AI maker, and as a result, a variety of relatively simple techniques have arisen to try and sidestep those restrictions. In a sense, you trick, dupe, hoodwink, or otherwise bamboozle the AI into giving you an answer.

In a posting on the OpenAI official blog, there are now details about meta-prompts. Using an explicit meta-prompt might be a handy-dandy starter prompt that you enter at the beginning of any conversation. Henceforth, during that conversation, the AI will improve your prompts. Or simply use it whenever you are getting to a point where having the AI bolster your prompts seems a wise move.

Models that provide the cognitive horsepower behind generative AI applications come in all shapes and sizes. From large language models (LLMs) trained on billions of parameters to small language models (SLMs) trained on a fraction of those figures, there is a model for virtually every use case. Either enter a meta-prompt at the start of your generative AI session or do so amid a session. If you want to set up a meta-prompt that will automatically activate whenever you use your account, use a feature known variously as customized instructions, see my coverage at the link here. In my example, I overtly entered a prompt that told ChatGPT about making prompting improvements. Plus, the same kind of meta-prompt instruction works for just about any major generative AI, including Claude, Gemini, Llama, etc.

I’ll put aside that cheating consideration and focus solely on the hoped-for learning outcomes. Getting Generative AI to review and improve internal chain-of-thoughts toward providing better logic … By clicking Create Account you confirm that your data has been entered correctly and you have read and agree to our Terms of use , Cookie policy and Privacy policy . At the time, Sir Nick Clegg – the former deputy prime minister who is now president of global affairs at Meta – said the move meant Meta AI tools could be introduced in the UK “much sooner”. First launched last year, Meta AI allows users to ask questions using text, voice or images to get more information, creative assistance or inspiration, and edit or generate new images. Meta’s products are also popular in the EU, but the lack of EU expansion plans isn’t surprising.

Reportedly, the team behind the new Meta search engine has already been organizing its database and indexing sites for more than a few months, too. The tech giant may also be noticing the trend of people abandoning traditional search engines like Google, and replacing them with AI search platforms like ChatGPT and Perplexity. Meta understandably wants a piece of this pie, and wants users to turn meta to adcreating generative ai cto to its apps for searching. Its search engine would reportedly give AI-generated search summaries within the Meta AI chatbot. Meta AI is also expanding in another direction this week, debuting on the Ray-Ban Meta smart glasses in more regions, which are now available in the UK and Australia. Though Australians will have the full range of features, the UK is only getting voice support for now.

The rapid advancement of wearable technology is making it easier to accessorize with incorporate AI. If you use Python for accessing API endpoints or web scraping, odds are you’re using either Python’s native http libraries or a third-party module like requests. In this video, we take a look at the httpx library — an easy, powerful, and future-proof way to make HTTP requests.

The wearable tech integration with Meta AI is part of the company’s push to embed its AI in everything it produces. Meta didn’t say why the UK isn’t getting the augmented reality overlay or image recognition features immediately. Presumably, there are technical issues, regulatory hurdles, or both that need to be overcome. The biggest issue raised by European lawmakers surrounds ethical data use and privacy.

I’ll be eager to see if other AI researchers are able to replicate their results, plus make use of additional benchmarks to see the gamut of what these improvements might provide. Beyond trying this on Meta’s Llama, it would be significant to use other generative AI models such as ChatGPT, GPT-4o, o1, Claude, Gemini, and so on. A bonus basis for showing your work is that it might aid you in learning how to get better at employing logic and thinking through a problem. The belief is that the more you write down the steps you’ve undertaken, there is a solid chance you will get better at coming up with the right steps. Generally, you can improve your overarching problem-solving prowess by repeatedly inspecting your work and refining your employment of logical reasoning. Meta, sensing an opportunity to grow and become more self-sufficient, is now reportedly entering the AI search engine race, according to The Information.

Organizations are using a broad mix of AI models for use cases like digital assistants, content creation, and writing code. Please be aware that I didn’t include all of the meta-prompt in the sense that there were other pieces here or there that provided additional nitty-gritty details. You are encouraged to visit the OpenAI blog on Prompt Generation to see further details.

Meta did not immediately respond to a request for comment from Business Insider. The division, which has earned a reputation for hemorrhaging money, has implemented cost-cutting measures in the past year. Its hardware teams have been asked to cut spending by nearly 20% from 2024 into 2026.