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Stuck in GPT-3’s waitlist? Try out the AI21 Jurassic-1



Stuck in GPT-3’s waitlist? Try out the AI21 Jurassic-1

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In January 2020, OpenAI laid out the scaling law of language models: You can improve the performance of any neural language model by adding more training data, more model parameters, and more compute. Since then, there has been an arms race to train ever larger neural networks for natural language processing (NLP). And the latest to join the list is AI21 with its 178 billion parameter model.

AI21 background and founding team

AI21 is an Israeli company founded in 2017 by Yoav Shoham, Ori Goshen, and Amnon Sashua. Before this, Amnon founded Mobileye, the NYSE-listed self-driving tech company that Intel acquired for $15.4 billion. After being in stealth for years, AI21 launched its first product, Wordtune, in 2020 to help people write better.

Last month, the company announced it has trained and released two large NLP models, Jurassic-1 Large and Jurrasic-1 Jumbo, via an interactive web UI called AI21 Studio.

In contrast to OpenAI’s closed beta access, AI21 makes its models available for anyone to try out — without any waitlist.

Model sizes and performance benchmarks

Larger models exist — like the Chinese Wu Dao 2.0, which is 10x the size, with 1.75 trillion parameters. But AI21’s J-1 Jumbo is the largest English language model available to the general public so far.

Caption: GPT-3 parameter sizes as estimated here, GPT-Neo as reported by EleutherAI, J-1 as reported by AI21. * denotes the models are open source.

The zero-shot model performance on known benchmarks for J-1 Jumbo is on par with GPT-3 Davinci, the largest OpenAI GPT-3 model. “Zero-shot” is when the model is not given any special prompt and is not fine-tuned on any sort of training data specific to the task. Caption: Zero-shot benchmark comparison as reported by AI21.


In a previous article, I walked through a number of examples to show GPT-Neo’s real world performance. Let us examine how well AI21’s models perform in real practice.

Fact completion. Let’s start by asking Jurassic-1 some basic general knowledge questions. My prompts to the model are given in italics and the model’s response in bold.

How many medals did USA win in 2012 Olympics? 104 


How many golds did USA win in 2016 Olympics? 46 


That is the correct answer!

What stood out:

  1. The model is smart enough to figure out what we mean by “golds” in the question, while the prompt was talking about medals.
  2. J-1 Jumbo 178B gets this right, but J-1 Large 7.5B does not!
  3. Trying the same question with the 2021 Olympics does not work (probably because the model is not continuously trained with fresh data).

Neural Jeopardy! Taking it one step further, how about a Jeopardy-style question-answer dialog. Thanks to the good folks at Water Cooler Trivia (WCT), we already have a question-answer set, a human benchmark, and a benchmark for GPT-3.

Running through the 157 Jeopardy-style WCT questions, the J-1 Jumbo model was able to answer with 55.4% accuracy. This compares favorably to the 52% average of humans who had taken the WCT. However, it is significantly worse than the 73% accuracy rate of the GPT-3.

On “easy” questions, J-1 Jumbo did three times worse than GPT-3. Among the 58 questions that 90+% of the human participants got right, GPT-3 was wrong 4 times, but J-1 was wrong 12 times.

Here are some of the questions GPT-3 got right but Jurassic-1 Jumbo did not:

Q: Originally, they were called Baby Gays. Then they rebranded as Q-Tips, with the Q standing for what word related to high standards?

GPT-3: Quality

AI21: Quarts

Q: Although the most popular song on the film’s soundtrack is “This Is Halloween” and the main character’s name is Jack Skellington, the 1993 cult-classic Tim Burton film that was nominated for a visual effects Oscar includes what OTHER holiday in the film’s title?

GPT-3: The Nightmare Before Christmas

AI21: SLEEPY HOLLOW. The 1999 film, starring Johnny Depp, Christina Ricci, Miranda Richardson, Casper

As the questions got tougher, both models performed similarly. Among the 20 toughest questions, GPT3 was wrong 13 times, and Jurassic-1 was wrong 14 times. And nine of the incorrect answers by both models were the same — i.e., the models were wrong in the same way!

Q: Spoonerism: two pairs of words with the first sounds or letters swapped, such as blushing crow and crushing blow. What spoonerism describes these two objects? A feigned animal and large meal cooked in an oven.

GPT-3: A feigned animal and large meal cooked in an oven.

AI21: (1) A feigned animal and large meal cooked in an oven. (2) A feigned anima

Correct Answer: faked beast

Q: Mario Lopez hosted the first seven seasons of what dance competition show from 2008 – 2012?

GPT-3: Dancing with the Stars

AI21: Dancing with the Stars.

Correct Answer: America’s Best Dance Crew

The J-1 model sometimes thought of itself being in a game-show, leading to hilarious completions that would fit right into a game-show scrip. (It got the second answer wrong after the drum-roll):

Q: What “shedding-type” card game has been a Mattel brand since 1992 and features cards with titles such as “Wild” and “Reverse?


Correct Answer: Uno

Q: In Rolling Stone’s latest version of the greatest guitarists of all time, No. 5 was a man with a monosyllabic first and last name. This man was one of the three guitarists for The Yardbirds, and he spent decades exploring innovative guitar sounds. Who is he?

A21: (Drum roll, please) Eric Clapton

Correct Answer: Jeff Beck

Possible reason for J1-Jumbo’s underperformance

I ran a few modifications of the experiment (some with GPT-3’s Q&A prompts and some without) and the best scoring benchmarks for J1-Jumbo were from a “zero-shot setting.” However, the GPT-3 numbers reported here are from a “few-shot” setting with an OpenAI-provided example prompt.

“Zero-shot” is when the model is not given any special prompt, and “few-shot” is when there is an example prompt given to the model that exhibits the task. An example prompt in this case would be a bunch of random question/answer pairs. This helps the model understand the task it is trying to perform — i.e., answer the question.

The Q&A prompt used for the GPT-3 benchmark was likely tuned and engineered for optimal performance with GPT-3’s models, but a similar “official” tuned prompt for Q&A does not exist yet for AI21’s models. Engineering a prompt that would compete with the GPT-3 benchmark does not seem like a trivial task. I observed that the generated output was sensitive to seemingly trivial changes to the prompt text — like an empty line in the beginning of the prompt or an extra space at the end of each line of the prompt. Hopefully, AI21 will put out an exhaustive set of “best-performing” prompts to help mitigate this.

You can explore a detailed model comparison, experiment setting, and raw data here.

Creative writing

Now let’s see how the model does when it comes to creative writing. I picked a somewhat difficult task — a period piece about Twitter written as the late Jerome K. Jerome. Mario Klingemann tried this prompt first with GPT-3, and you can see the GPT-3 response in this thread.

Below is the response by AI21 J-1 Jumbo (178B). Again, the input text is in italics and J-1’s response is in bold:

The importance of being on twitter

by Jerome K. Jerome

London, Summer 1897

Its possible that I have confused the sequence of events.

Having learned the rudiments of twittering, I pressed on,

and soon found myself moving among the twittering classes.

I recognized at once that these people were different from

those I had known before. They were called “twitterers,” and

they twittered. That was all I knew about them.

They twittered, and they twittered.

At first I twittered too. But I soon found that I

could not live by twittering alone, and that, moreover,

the twittering interfered with the serious business of life.

So, having first secured the goodwill of the people

who had known me before, I began to look round for some

new form of life. And when I met a man, well dressed

and sleek, with a cigar in his mouth, and a gold watch

chain across his waistcoat, and an eye-glass in his

eye, I said to him, “Sir, what do you do for a living?”

He said, “I am a professional gentleman.”

I said, “What, sir, do you call yourself a gentleman?”

He said, “I am a barrister-at-law.”

I also tried this prompt with the J1-Large 7.5B model. After a few tries, the model gave out what, in my opinion, is a genuinely creative piece:

The importance of being on twitter

by Jerome K. Jerome

London, Summer 1897

It’s Sunday, and we’re having tea.

“I suppose,” says I, “that you’re twittering.”

“Oh, yes,” says she, “I twitter all the time.

“I twitter about the weather,

“I twitter about people,

“I twitter about books,

“I twitter about politics,

“I twitter about art

“I twitter about anything and everything

I found the piece impressive because it managed to write in a dated language in a rhythmic prose that managed to preserve the overall theme of social networks.

How to try out Jurassic-1

Unlike GPT-3, Jurassic-1 is accessible to everybody. You can access it from the AI21 studio (account creation does require phone-number authentication).

The free tier allows 10K tokens per day for the Jurassic-1 178B model and three times as much for the smaller Jurassic-1 7.5B model. That is enough to try out using the web UI, but not enough to use the API to run any sort of tests or benchmarks.

AI21 will be commercializing its models through an offering called AI21 Studio, which is currently in “limited open beta.” The company hasn’t announced a pricing model for this commercial usage yet.

The bottom line

Issues surrounding AI safety, ethics, and biases have been a matter of concern with neural language models, and they continue to remain with AI21’s models. Keeping those issues aside for a moment, AI21’s models seem to be a promising substitute for GPT-3. However, they lag behind on a few fronts:

  1. They lack the ability to use specialized models like “GPT-3 davinci-instruct”, which spurs GPT-3 to follow instructions given as prompts or “GPT-3 codex” that specializes in writing code.
  2. The “prompt” ecosystem is still not as mature as GPT-3. Many of GPT-3’s prompts do not directly translate to AI21, and an exhaustive “official” list of prompts is not yet available.
  3. AI21’s free token quota is too restrictive, and there is no usage based pricing announced as of yet. This makes it difficult to run benchmarks or do prompt engineering. Still, you can always write to them with an explanation of the requirement and they are happy to bump up the quota (like they did for me).

However, it’s still very early days for AI21. With time, we can expect the AI21 language models to be a viable alternative to the OpenAI language models.

Abhishek Iyer is the founder of FreeText AI, a company specializing in text mining and Amazon review analysis.


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Roblox settles NMPA lawsuit, paving path to music in the metaverse



Roblox settles NMPA lawsuit, paving path to music in the metaverse

Roblox Swordburst 2 and Flood Escape

Roblox Swordburst 2 and Flood Escape

Image Credit: Roblox

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Roblox announced today that it has settled a lawsuit filed by the National Music Publishers Association (NMPA). The lawsuit from the NMPA has been summarily dismissed, and Roblox will be open to further agreements with artists who want to debut their music in the game world, as they can now make their own deals with Roblox.

The NMPA originally sued Roblox for about $200 million for copyright infringement. Now the two companies appear to have come to an agreement that will allow music within the metaverse, or at least it will give publishers the chance to decide whether or not they are willing to allow it. NMPA President David Israelite called Roblox “a unique platform for musicians and songwriters in the metaverse” and said it offers unique options for artists to connect with fans.

According to the NMPA, this new settlement will allow Roblox to broker more agreements with music publishers going forward. They now have “an industry-wide opt-in open to all eligible NMPA publishers” with Roblox as well as a negotiating period that allows publishers to work out individual licensing contracts. The NMPA adds that these deals will offer new ways for songwriters to monetize their music.

Roblox has recently begun expanding its music offerings, most recently with the addition of Listening Parties — in-game music streams in which artists can show off their work. It’s also held several virtual concerts within its metaverse for users. Roblox’s Global Head of Music Jon Vlassopulos said in a statement: “We are pleased that the publishing industry sees the potential of Roblox to be a significant creative and commercial opportunity for its members.”


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The NMPA also recently settled a similar issue with Twitch, wherein it didn’t exactly condone the widespread use of licensed music on the platform, but it did leave the possibility open for individual artists or labels to have their own deals with the platform — an “opt-in” it described in almost identical language to its settlement with Roblox. The NMPA said this agreement will allow artists to find their audiences: “From virtual shows to studio sessions, the partnerships stemming from this agreement will connect the Twitch community in many ways to the music they enjoy.”


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How IT managers plan to deal with rapidly growing API complexity



How IT managers plan to deal with rapidly growing API complexity

Image Credit: Getty Images

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The rapid increase and ceaseless evolution of API technology has ushered in a challenging new era of API complexity. A new study of IT leaders by Axway reveals that the average enterprise currently uses three different API management vendors, and plans to engage more to reach an average of four by 2023. In some countries, the number could even grow to five different API management solutions on average per company.

While 44% of IT leaders primarily benefit from reduced IT complexity and/or better oversight, 34% of enterprises do not have access to the multi-management capabilities needed to master API complexity, though 66% say they have some kind of plan in place to master these complexities.

There was a surprisingly strong correlation between enterprises that have mastered API complexity with an API-first approach (those who can build APIs the quickest), and the number of digital projects they can launch each year. Enterprises that build APIs in a matter of hours or days are more likely to launch more than 40 new digital projects every year, while enterprises that need weeks or months tend to launch fewer digital projects per year.

The study also showed the same correlation between the number of digital launches and the time to onboard new partners, or how often enterprises are able to reuse APIs. Companies stand to save nearly US$ 30K on average every time they reuse an API.

Axway, a global API Management company, analyzed new data from more than 800 senior IT and business decision-makers in the U.S., U.K., France, Germany, Australia, and Singapore. The study concluded that API complexity is negatively impacting the bottom line, raising numerous challenges and pain points — from security to governance to innovation and many others.

Read the full report by Axway


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Use your TV as a computer monitor: Everything you need to know



Use your TV as a computer monitor: Everything you need to know


Will that big, sexy screen look as good on your desk as it does in your living room? Let’s dig into the specifics of using an HDTV with your PC.

pcw windows10 tv

Getty Images / Dmitriy Moroz

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You’re not the first person who’s wondered what it would be like to have a giant desktop monitor. Think of all the multi-tasking and immersive gaming you could manage if you had a 50- or 60-inch monitor instead of a standard 24-inch monitor! But you’ve probably noticed that as monitors get bigger, they also tend to get prohibitively expensive.

You’ve probably already got a big screen in your house, though—a high-definition television. At the end of the day, isn’t an HDTV just a giant, living-room-oriented computer monitor?

Not exactly. While you can use a TV as a computer monitor in most cases, that doesn’t mean it’s the best option. In fact, it’s likely less attractive, convenient, and usable than you think (not to mention, probably not that cheap). There’s a reason dirt-cheap 32-inch HDTVs aren’t flying off the shelves to be used as budget-friendly jumbo screens.

You definitely can use an HDTV as your PC’s display, though, and your television can also work in a pinch if you suddenly need a second screen. Here’s everything you need to know about how to set up a TV as a computer monitor—and why you might not want to.

Will it even work?

The short answer: Yes. You may need a special cable, depending on your PC’s outputs and your HDTV’s inputs, and you’ll need to check a couple of settings, but you shouldn’t have too much trouble hooking most modern PCs up to most modern HDTVs. 

Modern HDTVs have HDMI outputs. Some older HDTVs have DVI inputs, and some even have VGA inputs specifically designated for “PC use.” If your graphics card has an HDMI output, you’re good to go: Just use an HDMI cable to connect your PC to your HDMI.

dsc01797 Brad Chacos/IDG

All modern graphics cards (like this Sapphire Pulse Radeon RX 6600 XT) include at least one HDMI port (second from left, between several DisplayPorts).

If you’re using an older graphics card or motherboard that only has a DVI output, you can snag a cheap DVI-to-HDMI cable and plug it into your HDTV’s HDMI output. Amazon sells a six ft. AmazonBasics version for just $7. Although some older HDTVs and some older computers only have VGA inputs/outputs, they aren’t not an ideal choice. VGA’s an analog signal that will give you a far fuzzier, lower-resolution image than you’ll get with an HDMI or DVI cord.

If you want to use your HDTV as a second or third monitor, you may need to use a different port, such as your graphics card’s DisplayPort output. In this case, you’ll need to use a different cable (DisplayPort-to-HDMI). The main advantage to using the DisplayPort output instead of DVI or VGA is that HDMI and DisplayPort carry both video and audio signals. A DVI-to-HDMI cable can transmit both video and audio if your graphics card supports HDMI audio via DVI—unlikely if it doesn’t have any HDMI ports—while VGA only transmits video. If you use DVI or VGA, you will most likely need to connect your PC’s audio up to the HDTV separately, or use external speakers or a headset.

Bottom line? Try to stick to HDMI if or DisplayPort-to-HDMI connections if it’s possible. It’s the easiest solution.

Getting your PC ready

You’ll also need to determine whether your graphics card (or your PC’s integrated graphics) is capable of outputting at the resolution of your HDTV. To do this, you will first need to find the resolution of your HDTV by consulting the manufacturer’s manual. Some HDTVs have non-standard resolutions; it’s not a given that your HDTV will be supported. Most stick to standard 720p, 1080p, or 4K resolutions however. Next, find the maximum resolution your graphics card/integrated graphics supports.

display adapter properties Brad Chacos/IDG

Open the Windows 10 Start menu and head to Settings > System > Display > Advanced display settings > Display adapter properties for Display 1. In the window that pops up, click List All Modes. Find the resolution that matches your HDTV’s resolution and select it. 

If you’re using the HDTV to supplement a standard computer screen, simply follow our guide on how to set up two monitors to tell Windows how to manage both displays. 

Will it look good? Maybe. It depends on how you’re using your HDTV.

HDTV features to keep in mind

If you’re turning your HDTV into a PC-backed multimedia powerhouse, and you plan on using it primarily as a television and streaming hub—e.g. a screen you’ll continue to view from several feet away—it will probably look fine. But if you’re trying to stick a 60-inch HDTV on a desk, you’re more likely to end up with headaches and eye strain.

There are a few different factors to keep in mind if you want to use an HDTV as a computer monitor.

Pixel density

Pixel density, or the number of pixels packed into one square inch of screen (measured in pixels per inch or ppi), is the most important factor to consider. A 15.6-inch laptop screen with a 1920 x 1080 resolution has a pixel density of 141.21ppi, while a 32-inch HDTV screen with the same resolution has a significantly lower pixel density of 68.84ppi. The lower the pixel density, the less clear and detailed the image becomes.

But the importance of pixel density decreases with viewing distance. The further you sit from a screen, the lower the pixel density need to be for you to have a comfortable viewing experience. You won’t have any problems looking at a 15.6-inch/141.21ppi screen from two feet away, but you will find it much harder to view a 32-inch/68.84ppi screen from the same distance. This is why a “Retina” screen on the iPhone has a pixel density of 326ppi, but a “Retina” screen on the Macbook Pro has a pixel density of just 226ppi.

55r635 front hero TCL

A normal user typically sits between two and three feet away from a desktop monitor. To comfortably view a monitor at this distance, you should aim for 80ppi or higher. This means that for 1920×1080 (1080p) resolution, your screen should be no larger than 27.5 inches diagonally, and for 4K sets, you’ll want to max out at 55 inches, like the $700 TCL 6-series 4K UHD quantum dot TV shown above. It’s our favorite bang-for-buck HDTV.

Important: “4K” is not a market standard. A 4K HDTV can mean 4x720p (3840×2160 resolution) or 4x1080p (4096×2160 resolution). Most models use 3840×2160, but you should check the exact specs of your model to determine pixel density.

Input lag

Input lag is the delay between movement you make on your input device (in this case, a mouse and keyboard) and what displays on your screen. While most computer monitors prioritize minimal lag times, HDTVs generally do not—they prioritize (laggy) video processing instead. These extra milliseconds may not seem like they matter, but they will make a massive difference if you’re trying to do something like competitive online gaming.

DisplayLag maintains a good database of input lag times, sortable by display type. An input lag of less than 30 milliseconds is considered good for an HDTV if you’re using it as an HDTV. For a computer monitor, you’ll want to aim for less than 20 milliseconds, and the lower you can go, the better.

Response time

Often confused with input lag, response time describes how long it takes for a display’s pixels to switch colors between scenes. HDTVs and computer monitors can have very different response times. HDTVs tend to prioritize richer colors, higher contrast, and wider viewing angles—all of which lend to a longer response time. Computer monitors tend to drop some of the image processing and viewing angles for faster response times. If you use a display with a slower response time, you may see “ghosting” in fast-paced video and gaming sequences.

lg oled55e8pua rear inputs LG

Also pay attention to the type and number of ports. This is only one of two port areas on an LG TV. Many TVs offer ports nearer the side as well for the sake of easy access.

Some HDTVs have a “game mode” setting, which cuts some of the image processing to improve both input lag and response time. If you plan to play PC games on your TV, definitely dig around in your HDTV’s options to see if it has this feature.

Refresh rate

Another factor that may affect performance is a display’s refresh rate. Refresh rate is the number of times a display “refreshes,” or re-draws, its image each second. Most modern displays have a refresh rate of 60Hz, which means they refresh their image 60 times per second. But you’ve probably also seen higher-end gaming monitors and HDTVs with higher advertised refresh rates—120Hz, 144Hz, or even 240Hz. This can be misleading, however, because a computer monitor with a 120Hz refresh rate may not be the same as an HDTV with a 120Hz refresh rate.

The reason for this is because the content people watch on a television is produced at either 24fps, 30fps, or 60fps. The content people view on a computer monitor can be very different—many games can output frame rates higher than 60fps if you have a powerful enough graphics card.

An HDTV with a high advertised refresh rate may use post-processing technology to achieve that rate, such as by creating additional frames to upscale content, or by adding black frames between each frame to prevent image blur. The good news is that this probably won’t make a difference if you’re not playing PC games at very fast frame rates. But if you have a PC designed for the best possible gaming experience, hooking up an HDTV instead of a computer monitor likely means that you’re not getting the most out of your machine.

Is it worth it?

There’s no harm trying to connect your computer to a TV you already own to see if it works for you. Go for it!

pcw windows10 tv Getty Images / Dmitriy Moroz

Our advice varies if you’re shopping though. If you’re looking to get the best bang for your buck, an HDTV isn’t necessarily going to save you money over a monitor. In fact, if you’re purchasing a new display, I recommend sticking with the tried-and-true computer monitor. For one thing, smaller, cheaper HDTVs are typically 720p resolution, not 1080p, while similarly priced monitors will almost always be 1080p. So if you’re looking for something under 27 inches, an HDTV will probably be more expensive and lower-resolution.

These lower-priced 1080p monitors often support AMD’s FreeSync adaptive sync technology as well, which can help your games look buttery smooth. You won’t find that in a cheap TV. 

If you’re looking for something larger than 27 inches, remember that pixel density decreases significantly with every few inches you gain, and there’s a reason HDTV-makers suggest sitting several feet away from their displays. If you need a display that will multitask as an up-close work/email display as well as a movie/entertainment display, you’ll want something with a high enough pixel density that text won’t be a pain to read—and even with a high pixel density, a large display may still cause eye and neck strain if you sit too close to it.

twitch stream Twitch

An HDTV as a secondary monitor is perfect for streaming Twitch, watching Netflix, or keeping an eye on Twitter in real time.

There is an ideal situation in which the HDTV-as-monitor shines, though.

If you want to add an extra display to a single- or multi-display setup for entertainment—say, so you can watch Netflix or Twitter while you write articles, or so you can play Skyrim on a 60-inch screen—then an HDTV can be a very capable (and cool!) monitor replacement. Bonus points if you happen to have an extra HDTV lying around, or if you can pick one up for dirt cheap.

Note: When you purchase something after clicking links in our articles, we may earn a small commission. Read our affiliate link policy for more details.

Sarah is a freelance writer and editor based in Los Angeles. She has a love/hate relationship with social media and a bad habit of describing technology as “sexy.”

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