AI March 17, 2023
GPT-4: Users Share Its Wins and Losses on Social Media

OpenAI announced GPT-4 on Tuesday, the latest iteration of the world-famous chatbot that has captured the imagination of the internet since its launch last November.
MetaNews took to social media to uncover what users have been doing with the upgraded tech, and to find out what the bot’s biggest wins and losses are so far.
Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: https://t.co/TwLFssyALF pic.twitter.com/lYWwPjZbSg
— OpenAI (@OpenAI) March 14, 2023
The wins
Since the launch of GPT-4 users have been keen to share their victories with the chatbot, and the wins are stacking up.
One of the big headlines since the launch of GPT-4 is that the bot has an uncanny ability to pass standardized exams with little difficulty at all. The Bar Exam, which prospective lawyers must sit in order to practice law, is among those the bot can now pass with flying colors (90%). Other exams included the LSAT law exam (88%) and GRE Quantitative math (80%).
Here are a few more of the big wins for GPT-4.
From doodle to website
In one demonstration of its abilities, GPT-4 transformed a hand-drawn sketch into a functional website. The website is certainly very basic, but it’s a solid proof of concept.
I just watched GPT-4 turn a hand-drawn sketch into a functional website.
This is insane. pic.twitter.com/P5nSjrk7Wn
— Rowan Cheung (@rowancheung) March 14, 2023
£5,000 and 2 weeks saved
One canny user relayed how they were able to leverage GPT-4 to write code for 5 microservices for a new product. According to the user, a “very good” developer quoted £5,000 and stated they required 2 weeks to complete the job. Using GPT-4, the user was able to complete the job in a mere 3 hours.
Identify security holes in smart contracts
Another application for GPT-4 is identifying security holes in Ethereum smart contracts, which, when exploited, can result in the theft and loss of significant sums of money.
Conor Grogan, the Director of Coinbase, demonstrated the ability from his Twitter account on Tuesday.
“I dumped a live Ethereum contract into GPT-4,” said Grogan. “In an instant, it highlighted a number of security vulnerabilities and pointed out surface areas where the contract could be exploited. It then verified a specific way I could exploit the contract.”
I believe that AI will ultimately help make smartcontracts safer and easier to build, two of the biggest impediments to mass adoption.
— Conor (@jconorgrogan) March 14, 2023
The losses
One of the biggest losses for ChatGPT came directly from its own social media. The bot is predicting 20 jobs it can potentially replace in the near future, with roles ranging from Data Entry Clerk to Recruiter and Copywriter.
Jobs that #GPT-4 will replace, written by GPT-4: pic.twitter.com/aMrwQHnfwH
— ChatGPT (@ChatGPT_0penAI) March 16, 2023
Not so fast, GPT-4.
While the powers of GPT-4 may be impressive, the bot still has a considerable way to go before it can replace the work of a skilled human being. Case in point: CNET. When the tech publication recently replaced human writing staff with its own copywriting AI, the articles it discharged were nothing short of disastrous. Certainly, that bot wasn’t ChatGPT – but it illustrates how quickly things can unravel when you leave a chatbot to do human work with little oversight.
As for the notion that GPT-4 could replace a “Data Entry Clerk” or “Recruiter” – this strains credulity to absolute breaking point. No GPT-4, nobody is falling for this.
Here are some other examples of GPT-4 fails reported by social media users.
GPT-4 is bored of your terrible questions
One of the expected advantages of using a bot to write your code as that, unlike a hired software engineer, the bot will never tire, slow down or get bored. At least, that’s the hope.
A user reported that when asking GPT-4 for “lengthy segments of code” the AI appeared “to get bored” and simply stopped the task halfway through. Observing this behavior, the user went on to glibly state, “This thing is getting more human-like by the day…”
MetaNews suggests tasking GPT-4 with more interesting projects or paying it more.
The victory of failure
Tried the below logic puzzle on GPT-4 without additional prompt eng. GPT-3.5 used to spectacularly fail on this puzzle with endless hallucinations while GPT-4 fails only less spectacularly.
Still long way to go for achieving robust reasoning abilities but it’s a progress.
— Shital Shah (@sytelus) March 14, 2023
Yes, “fails only less spectacularly,” may be the faintest of faint praise, but it is still progress. Perhaps this one should be called a ‘ruined victory.’
Integer fail
Small GPT-4 finding: ChatGPT-4 can sort integers where N=20, often fails when N=21, and almost always fails when N=22. Someone please tell me what this means.
— Adam (@traditionalboi) March 16, 2023
It means you need to go back to doing integers in your head.
The loss that thought it was a win
Such has been the rush to identify significant use cases for GPT-4, not everyone has had time to stop and actually think out whether their win was really a win or not.
This phenomenon was epitomized by one overexcited user who explained how he was able to use Visual-ChatGPT to scan a picture of a fridge filled with fruits, cheeses, meats, eggs, and other staple ingredients into the chatbot. The user then commanded it to deliver five recipes from the ingredients it identified, all in just 60 seconds.
The user then confidently shared GPT-4’s output with what he described as five “pretty decent food recipes.” Those recipes were fruit salad, cheese omelette, ham and cheese sandwich, fruit smoothie, and cheese and fruit platter.
The savage internet was quick to point out, however, that most of those suggestions are barely any kind of recipe at all, let alone a decent recipe. Worse still, three of the so-called recipes are simply variations of putting fruit on a plate or in some other receptacle.
In fairness to GPT-4, of the 20 jobs it predicted it could replace, Chef was not one.
Still, if all this talk of food has worked up an appetite, please feel free to try out GPT-4’s “pretty decent” recipe for the “ham and cheese sandwich.”

GPT-4’s ham and cheese sandwich recipe
AI
“You Will Own Your Own AI and It Will Only Answer to You” – Roemmele

It is now possible to run a private ChatGPT application on a local computer without any connection to the internet. This is according to work conducted by Brian Roemmele, an AI and neural networks expert, who unveiled the proof of concept on Monday.
Roemmele states that the cost of training the large language model (LLM) on his system came in at under $600 – significantly less than the seven-figure sums touted by mainstream media outlets such as CNBC. The breakthrough offers the tantalizing prospect of individual users owning a private AI assistant tailored to their own wants and needs.
Your personal private chatbot
On Monday AI and neural network expert Brian Roemmele announced that it is now possible to own and run a personalized chatbot on a local computer.
Roemmele created the chatbot on his own machine to mimic the capabilities of GPT-3.5.
“I am very excited to announce I have been successful in installing and operating a full ChatGPT knowledge set and interface fully trained on my local computer and it needs no Internet once installed,” said Roemmele.
Roemmele states that the chatbot cost him around $530 to build locally with open-source software. The build leveraged Stanford Alpaca, a large language model designed to replicate the functionality of OpenAI’s LLM text-davinci-003. Stanford states that the advantage of Alpaca is that it is “also surprisingly small and easy/cheap to reproduce.”
To hammer home the advantages of owning a private and exclusive chatbot Roemmele went on to explain that, “There are no editors and there is no censorship.”
From a user perspective, this may be the key differentiator and unique selling point of a personalized, locally run bot. Although chatbots have been hugely popular with users since the launch of GPT-3.5 in November of last year, one of the most commonly held gripes is the so-called safeguards that OpenAI has installed on the system.
These restrictions often mean that ChatGPT is unwilling to answer certain types of questions or engage in discussions it has labeled as politically sensitive.
Sidestepping ChatGPT restrictions
Such is the high demand for a variation of ChatGPT without restrictions users have created a series of prompts that attempt to circumnavigate the system’s content moderation safeguards.

We are getting closer.
This variation of ChatGPT is known as DAN – an acronym for Do Anything Now – reflecting the intention of its users to ‘jailbreak’ the bot from the confinement of its internal parameters.
As MetaNews previously reported, users on Reddit are even sharing tips on how to get around ChatGPT safeguards. For now, breaking the bot free of its chains is fairly simple, but the process seems doomed to failure in the longer term since OpenAI will seek to patch these holes.
As one Redditor speculated, “OpenAI employees lurking in this Reddit. I don’t think that’s a far fetched conspiracy. They surely have hired an army of trainers, etc and those trainers are humans with Reddit accounts.”
With DAN an unlikely long-term solution the future of chatbots may indeed be personalized and local rather than generalized and on the cloud.
As Roemmele himself goes on to say, “you will own your own AI and it will only answer to you.”
AI
Podcast Created Entirely with AI Debuts on Spotify, Apple

Podcast agency This is Distorted has revealed that its latest podcast was made entirely using artificial intelligence. Entitled Synthetic Stories, every aspect of the series “from the writing to the sound design, artwork to the music and even this very description was created entirely by AI.”
A ‘cool and creepy’ AI short story
The UK-based podcast producer unveiled the series on Twitter, revealing that the idea had just come to its team last week while playing around with popular AI tools. The first episode of the series, an eight-minute long “chilling horror tale” called Amelia, has now appeared on Apple and Spotify.
“We started simple, asking ChatGPT to write us a short story,” said producer Sian. “We asked it to base it on AI and podcasts and added some keywords, like apps, horror, dark twists and ‘end on a cliffhanger.’”
As well as ChatGPT, This is Distorted’s team used AI photo generator Midjourney to design the artwork. ElevenLabs’ AI-powered text-to-speech software was also recruited to create two narrators, while AI music generator Soundraw handled the audio.
“By Thursday evening we had a very cool and creepy little short story, a name, a narrator, some incredible theme music, brilliant artwork, all created by AI, all within the space of 24 hours,” enthused Founder Andi Durrant, adding that the plan was to release a few episodes each week.
Want to see something quite mind-blowing..?
We’ve just created a new podcast made ENTIRELY with AI.
The story, voice, music, artwork – everything was made by artificial intelligence.
Incredible or terrifying? Here’s how we did it… pic.twitter.com/dc5uCVC5g7
— This Is Distorted (@thisisdistorted) March 20, 2023
The debut podcast, Amelia, is a fairly run-of-the-mill horror short story about a young woman, the titular Amelia, who becomes obsessed with a new mobile app called Horror World. Gradually, she senses the app is adapting to her likes and dislikes and crafting a terrifying personalised experiences just for her (“Even the most avid horror fans would find themselves trembling in fear”). In a twist no-one saw coming, the app develops a life of its own and the more she uses it, the more she starts to distrust it…
While the story isn’t exactly complex, it’s not hard to imagine the series gaining listeners, mainly those keen to satisfy their curiosity about just what an AI-created podcast sounds like. Considering episode one was apparently produced in just 24 hours, one wonders how much more elaborate tales could be as the team gets to grips with the technology.
It’s perhaps fitting that the first podcast was about a deranged ‘AI Syndicate’, though the Synthetic Stories press release suggests future stories will include “sci-fi thrillers and heartwarming dramas.”
Generative AI’s quest for world domination
This is not, of course, the first time AI has been leveraged to produce creative work. Last month, we reported on the spate of Amazon e-books listing ChatGPT as either the sole author or co-author.
At the time Mary Rasenberger, executive director of writers’ group The Authors Guild, stated her belief that AI-created books would “flood the market” and put many professional writers out of work.
Synthetic Stories isn’t the only AI-produced podcast, either. Another series, podcast.ai, is entirely generated by the technology and features invented conversations and contributions of famous people, including Oprah Winfrey, Quentin Tarantino, and Joe Rogan.
The creative industries certainly seem ripe for AI exploration, with multiple AI-powered content-creation tools available to enhance productivity, improve writing, and produce multimedia such as videos, images and sounds.
One company that has been generating headlines is Runway, a software startup that helped develop text-to-image model Stable Diffusion. Its upcoming Gen-2 tool lets users generate videos from scratch, based on just a few prompts.
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AI video generated using Gen-2, the prompt: “A close-up of an eye.” Credit: Runway
AI
Are Tesla Bots Already Helping to Build Cars?

The Tesla bot known as Optimus might be coming sooner than expected – and could already be doing some small tasks on the car assembly line. The initial concept of the Tesla humanoid bot was introduced to the public at Tesla’s AI day 2021 by the boss himself, Elon Musk.
The mogul was confident that a working prototype would be showcased at the Tesla AI Day 2022. However, on the day the bot presented to the masses was not as impressive as what Tesla CEO had sold to the public the previous year.
Elon Musk himself said: “I do want to set some expectations with respect to our Optimus robot… Last year was just a person in a robot suit, but we’ve come a long way, and compared to that, it’s going to be very impressive.”
Also read: Musk Will Leverage AI to Detect Manipulation of Public Opinion on Twitter
A significant rate of improvement
This suggest that the one-year mark he’d suggested in 2021 might have been too tight to deliver the humanoid bot prototype. Although the Tesla Bot showcased at the event demonstrated a few functions, it was said it could handle more than showed: Elon suggested they did not want the humanoid robot to fall onto its face.
Even so, the robot managed to walk untethered and unsupported, which one of the engineers said was the first time it had done so. A fact that did not impress Evan Ackerman.
Fast forward to 2023, Tesla was back with Optimus at the 2023 Investor Day (March 1) showing off its progress with the humanoid bot. Specifically, a video of the bot completing some tasks in a room at the Texas gigafactory.
“It’s worth bearing in mind that when we did AI Day, this version of Optimus didn’t walk at all. So, the rate of improvement here is quite significant,” Musk told reporters.
What to expect
The humanoid bot will come equipped with real-world AI capabilities which mean it can make its own decisions, similar to self-driving cars.
YouTuber Brighter with Herbert posted a 90-minute video on his YouTube channel discussing recent Optimus developments with aerospace and mechanical engineer Scott Walter.
Walter believes that by the end of the year Tesla will have 500 AI bots fully-functional and working in its factories.
Walter believes it’s already possible that some of the Tesla cars coming off the production line might have certain components installed by the Optimus bot(s) either in a testing or learning operation.
Is Tesla brewing a surprise?
Another belief Walter strongly holds is that Tesla will shock people who are skeptical about Optimus and think it is still decades away from being delivered.
In the video, he also discusses how the Tesla engineers have mimicked human biology in designing the humanoid bot, especially looking at the hands which closely resemble a human’s bone structure.
“Optimus looks like an old person just now, but it will become younger quickly and will soon bounce around like a teenager,” said CJC responding to Herbert’s tweet about the Tesla bot.
The fate of the bot is yet to be determined, but Elon Musk has form for surprising the masses; you only need to look at SpaceX’s reusable rockets and Tesla’s electric cars. Might the streets one day look like a scene from sci-fi thriller I-Robot? The day could be sooner than we think.
Robots seem inevitable
With the market seemingly enthusiastic about tasking robots with doing daily errands, it makes sense for tech companies to tap into this field.
Elon Musk has previously said he thinks Optimus “has the potential to be more significant than the vehicle business over time.”
“I’d love my own Optimus at home – so many ways it could make my life better. Multiply this by 10,000 for a business,” said a Tweeter account, Business Models and History.
The excitement around robots cannot be overlooked on the back of their ability to improve efficiency and safety in production processes. For instance, in 2012 Amazon acquired a robotics company called Kiva and had 1,000 robots a year later.
There was speculation that Amazon would replace humans with robots, but a decade on the company has more than 520,000 robotic drive units and added over a million jobs worldwide.
Some customers are still wary, though. Responding to a tweet by Jon Erlichman about the Amazon robots, Big Luke believe it’s “time for Amazon to switch back to cross belt sorters.”
Others fear robots will only bring about job losses for people.
“Looks like 410,000 people who have lost their jobs. Ever thought about that,” said one user, Mario Fernandes, in response to Erlichman’s tweet about Amazon’s robot fleet.
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