AI Arena
AI Eye recently spoke with Framework Venture’s Vance Spencer, and he enthused about the possibilities offered by his own funded upcoming game called AI Arena, which trains AI models on how players battle each other in the arena.
Framework Ventures was an early investor in Chainlink and Synthetix, and is three years ahead of NBA Top Shots, which has a similar NFL platform, so it’s worth a look if you’re excited about its future prospects.
AI Arena, also backed by Paradigm, is like a cross between Super Smash Brothers and Axie Infinity. AI models are tokenized as NFTs. That means players can train AI models and flip them for a profit or rent them out to noobs. This is a gamified version, but there are endless possibilities that involve crowdsourcing user training models for a specific purpose and then selling them as tokens on a blockchain-based marketplace.
“Perhaps some of the most valuable assets on-chain will be tokenized AI models. At least that’s my theory,” Spencer predicts.
AI Arena’s chief operating officer, Wei Explain that there was.
“The idea was that if you can tokenize AI models, you can actually build games around AI,” said Xie, who worked with Da Silva at TradFi. “The core loop of the game really helps expose the AI research process.”
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There are three components to training a model in AI Arena: The first is to show a child what to do, such as a parent showing a child how to kick a ball. The second element is coordinating and providing context for the model. In other words, it tells you when to pass and when to score. The final element is seeing how the AI is performing and diagnosing where the model needs improvement.
“So the overall game loop is like repeating three steps: gradually improving the AI to make it a well-balanced and versatile fighter.”
The game uses a custom feedforward neural network and the AI is limited and lightweight. This means that the winner is not just the person who can devote the most computing resources to the model.
“We want originality and creativity to be discerning elements,” says Xie.
AI Arena, currently in closed beta testing, is targeting the first quarter of next year for the mainnet launch of its Ethereum scaling solution Arbitrum. There are two versions of the game. One is a browser-based game that anyone can start having fun by logging in with their Google or Twitter account, and the other is an “esports version of the game,” a blockchain-based game for competitive players. .”
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Since this is a cryptocurrency, there are of course tokens that are distributed to players participating in the launch tournament and later used to pay entry fees for subsequent competitions. Xie foresees a big future for the technology, saying it could be used in “first-person shooters and soccer games” and could expand into a crowdsourcing marketplace for trained AI models for specific business tasks.
“What someone needs to do is make the problem a problem and then get the best minds in AI to compete on that problem. It’s just a better model.”
Chatbots are unreliable
A new analysis from AI startup Vectara shows that the output of large-scale language models like ChatGPT or Claude cannot be trusted for accuracy.
Everyone already knew this, but until now there was no way to quantify the exact amount of bullshit each model produces. GPT-4 was found to be the most accurate, producing fake information only about 3% of the time. Meta’s Llama model produced 5% nonsense, while Anthropic’s Claude 2 system produced 8% nonsense.
Google’s PaLM accounted for 12.1% of hallucinations, while Palm Chat accounted for an astonishing 27% of responses.
Palm 2 is one of the components integrated into Google’s search creation experience, highlighting useful pieces of information in response to common search terms. It’s also unreliable.
For months now, if you ask Google for African countries starting with the letter K, you’ll get completely incorrect information like this:
“There are 54 recognized countries in Africa, but none of them start with the letter ‘K’. The closest one is Kenya, which starts with a ‘K’ sound but is actually spelled with a ‘K’ sound.”
It turns out that Google’s AI got this information from ChatGPT answers. This answer is traced back to a Reddit post. This post is just a gag set up for this response.
“Kenya really sucks lmaooo.”
Google launched an experimental AI feature earlier this year, and recently users have started reporting that the feature is diminishing and even disappearing from many searches.
But Google has been improving it this week, with the feature rolling out in 120 new countries and four new languages, as well as the ability to ask follow-up questions right on the page.
AI images of the Israel-Gaza war
Despite journalists’ best efforts to exaggerate the problem, AI-generated images have not played much of a role in the war. Because the real-life scenes of Hamas’ atrocities and dead children in Gaza are impactful enough.
But here’s an example: 67,000 people viewed an AI-generated image of a toddler staring at a missile strike with the caption: “This is what the children of Gaza woke up to.” Another photo taken of three children, covered in dust but solemnly determined, amid the rubble of Gaza holding a Palestinian flag, was shared by Tunisian journalist Muhammad al-Hachimi al-Hamidi.
This is how the children of Gaza are waking up 💔 pic.twitter.com/P7afsikqxR
— Palestinian Culture (@PalestineCultu1) October 12, 2023
And for some reason, AI-generated photos of “Israeli refugee camps” with giant Stars of David next to each tent have been shared several times by Arab news outlets in Yemen and Dubai.
Australian politics blog Crikey.com has reported that Adobe is selling AI-generated war images through its stock image service, and media outlets including Sky and the Daily Star have published AI photos of missile attacks as if they were real.
But the real impact of AI-generated fakes is that they give partisans a convenient way to discredit real photos. There was a huge controversy over extravagant photos of Hamas leaders, which users claimed were AI fakes.
However, the images date back to 2014 and were not properly enlarged using AI. AI company Acrete also reported that Hamas-linked social media accounts regularly claimed that real-life scenes and photos of atrocities were generated by AI, raising suspicions.
At a good time, Google announced that it is launching a tool to help users identify fakes. You can see how old an image is and where it’s been used by clicking the three dots in the top right corner of the image and selecting ‘About this image’. Upcoming features include Google AI, Facebook, Microsoft, Nikon, and Leica all adding a symbol or watermark to AI images, with fields showing whether the image was generated by AI.
Dear Palestinian people,
Hamas leaders live a life of luxury and ask you to sacrifice yourself and your children while enjoying the good life.
Hamas has no interest in Palestine. Hamas is the enemy of the Palestinian people.To the Palestinians,
When leaders did that… pic.twitter.com/l30I0CDLcw— Hananya Naftali (@HananyaNaftali) October 20, 2023
OpenAI Developer Conference
ChatGPT this week unveiled the GPT-4 Turbo, which is significantly faster and can accommodate long, book-like text input of up to 300 pages. The model has been trained on data through April of this year and can generate captions or descriptions for visual input. For developers, access to the new model costs 1/3 the cost.
OpenAI is also releasing an App Store version called GPT Store. Now anyone can design a custom GPT, define parameters, and upload custom information to GPT-4. You can then build it and publish it to the store via GPT-4, with revenue split between the creator and OpenAI.
CEO Sam Altman demonstrated on stage a program called Startup Mentor, which provides advice to budding entrepreneurs. Users soon followed suit, dreaming up everything from AI that does commentary for sporting events to a “Lost My Website” GPT. ChatGPT was down for 90 minutes this week. Perhaps it’s a result of too many users trying out new features.
But not everyone was impressed. Abacus AI CEO Bindu Reddy He said it was disappointing that GPT-5 had not been announced, and suggested that OpenAI had attempted to train a new model earlier this year but “did not perform efficiently and had to be scrapped.” Reddy said OpenAI is rumored to be training a new candidate for GPT-5 called Gobi, but it won’t be released until next year.
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X, Grok revealed
Elon Musk brought freedom back to Twitter, largely by preventing so many people from spending time on it, and he’s on a mission to do the same with AI.
The beta version of Grok AI was completed in just two months, and while it’s not as good as GPT-4, it’s trained on tweets and up-to-date so you can tell what Joe Rogan was wearing. His last podcast. That’s the kind of information GPT-4 won’t tell you.
There are fewer guardrails for answers than ChatGPT. But if you ask them how to make cocaine, they’ll quietly tell you, “Get a chemistry degree and a DEA license.”
“The benchmark for what we tell you when you push is what’s available on the Internet through a reasonable browser search, which is a lot…” says Musk.
In just a few days, over 400 cryptocurrencies linked to GROK were launched. One reached a market capitalization of $10 million, and at least 10 others lagged behind.
All Killer No Filler AI News
— Samsung has introduced a new generative artificial intelligence model called Gauss and suggests it will soon be added to phones and devices.
— YouTube has rolled out several new AI features to premium subscribers, including a chatbot that summarizes videos and answers questions and sorts comments to help creators understand feedback.
— Google DeepMind has released a list of AGI tiers, starting at the “No AI” level on Amazon Mechanical Turk and moving to “Emerging AGI,” where ChatGPT, Bard, and LLama2 are listed. The other tiers are Competent, Expert, Virtuoso, and Artificial Superintelligence, none of which have been achieved yet.
— Amazon is investing millions of dollars in a new GPT-4 rival called Olympus that is twice the size with 2 trillion parameters. Also at the show is testing a new humanoid robot called Digit. This one fell over.
photo of the week
Alvaro Cintas, an oldie but a goodie, spent the weekend creating an AI pun photo titled “AI is a misspelled wonder of the world.”
A fun weekend experiment with DALL•E 3.
“The wonder of the world that AI misspelled”
1: Great Wall of China → Great Wall of China pic.twitter.com/bmQOFB8bQS
— Álvaro Cintas (@dr_cintas) October 29, 2023
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Andrew Fenton
Andrew Fenton, based in Melbourne, is a journalist and editor covering cryptocurrency and blockchain. He has worked as a national entertainment writer for News Corp Australia, a film journalist for SA Weekend and The Melbourne Weekly.
Follow the author @andrewfenton