Welcome to this week’s roundup of handwritten AI news.
This week OpenAI said its AI voice cloner was too good to release.
An NYC-approved chatbot gave residents dodgy legal advice.
And researchers built an AI that knows what’s going to occur in the long run.
Let’s dig in.
AI and the feds
AI is about for deeper integration in US government operations. The White House announced recent AI rules for federal agencies to make sure they use the tech in a way that’s secure and doesn’t compromise the rights of the people they serve.
The US government may also launch a giant hiring drive to employ 100 “AI professionals” to deploy to federal agencies. Good luck finding AI talent that hasn’t already been snapped up by Meta et al.
In a worldwide push for AI safety, US and UK ministers met to ascertain a bilateral agreement on AI safety. The almost complete absence of UK AI regulation might even see the US take the lead in forming critical policy.
The agreement says the countries will cooperate and share research in some interesting areas.
If they don’t manage to agree on how one can keep us secure from AI, let’s hope a glitch within the training data saves us.
Source: Pinterest
I’m pretty sure it’s legal
If you’re searching for an excellent reason why the deployment of AI in government agencies needs regulation then look no further than New York City. The city launched an AI chatbot to assist residents and businesses navigate government regulations and it’s advising people to interrupt the law.
The NYC Office of Technology and Innovation says people should chill because most of what the chatbot says is true and besides, it’s a “work in progress.”
Google’s DeepMind may give you the chance to assist with issues like this. It developed SAFE, an AI agent that may fact-check LLMs. For now, SAFE just gives us an interesting strategy to benchmark which AI model delivers essentially the most factual long-form answers.
Could it will definitely help cure AI’s tendency to make stuff up?
DeepMind also developed Genie, a foundational model for constructing 2D game environments from images or text prompts.
The researchers assure us their text-to-game model isn’t only a strategy to get kids to make and play more computer games. It has interesting applications for robotics too.
Where do I enroll for it? I intend to make use of Genie purely for robotics research. And possibly to recreate my version of Mario Brothers.
Prime AI
The AI model leaderboard is hotly contested, but there’s little doubt which model Amazon thinks will win. The company just invested one other $2.75 billion into Anthropic, the makers of the Claude models.
Apple is yet to release its own LLM, but there was a flurry of AI developments at the corporate after what gave the impression to be a slow start. Apple researchers developed ReALM, a model that ‘sees’ on-screen visuals higher than GPT-4.
Could Siri get an AI upgrade soon?
Who said that?
AI voice clones are already good and keep improving. OpenAI gave us just a few samples of how good Voice Engine, its voice cloning text-to-speech model is.
The company says initial testing shows there are some great use cases for the tech. However, because Voice Engine is so good the corporate says it is likely to be too dangerous to release.
Speaking of dangerous behavior, is a relationship with an AI companion kind of dangerous than the actual thing?
AI relationships appear to be on the rise. Want to know which countries are most interested by AI girlfriends? Here’s a full rundown of worldwide AI girlfriend trends. You could also be surprised who likes the thought and who doesn’t.
Humans are weird, so it’s unsurprising that training an AI to act how we wish it to is a challenge. A brand new study attempted to align AI with crowdsourced human values. Is that an excellent thing?
Imagine if crowdsourced values were used to coach an AI in Germany in 1939, or at the peak of the slave trade.
Our faith in humanity was tested once we forgot to envision the calendar before getting excited over this X post from Hugging Face engineer Phillip Schmid.
👉 https://t.co/wo5VshOSfC pic.twitter.com/IPXbnd8IoH
Sam must have pranked him by just releasing it.
Future power
Power usage within the AI industry continues to attract attention for all of the mistaken reasons. At NVIDIA’s GTC event, Delta Electronics unveiled recent energy-efficient AI hardware that would help with that.
It may not grab headlines just like the Blackwell GPUs, however the tech is impressive and so is the quantity of power it would save.
What does the long run of AI hold? Who will win the US election? Will humans go to Mars before 2030?
We might get the very best answer by asking GPT-4. Berkeley researchers built an AI forecasting system that’s more accurate than humans. It does have an odd quirk though.
In other news…
Here are another clickworthy AI stories we enjoyed this week:
Stability AI reportedly ran out of money to pay its bills for rented cloudy GPUs https://t.co/IuGvQ9SCf5
And that’s a wrap.
Let’s hope AI gets rolled out faster in US federal agencies. If you’ve ever needed to take care of the DMV or the Labor Department then you understand it could only get well. Right?
Groundbreaking AI developments are being made each day, however the tech I actually need to play with is DeepMind’s Genie. I need to make use of AI to make 2D platform games like we had back within the 80’s. Is that somewhat weird? Who’s with me on this?
AI girlfriends; an excellent idea for lonely people or simply weird? I’m pondering a digital twin of your better half could can help you run simulations that would avoid a whole lot of arguments before they begin.
Let us know what you’re thinking that, and send us links to any juicy AI stories we can have missed.
