“Human Uber,” developed in Japan, provides a way to attend events remotely using another person’s body. “It’s surprisingly natural” says its inventor, Jin Rekimoto of Sony
#emtechasia
@aginnt
That's completely false. This appears to be a company's security system, which uses facial recognition to ID employees. You can find similar examples in the US.
From a 1959 issue of
@techreview
: Arthur Samuel explains the machine learning behind his seminal checkers-playing program. The opening line: "LEARNING is now being done by a machine."
I spoke with
@demishassabis
ahead of Gemini's launch today. He says the new multimodal model will be a foundation for rapid innovation in software agents, planning and reasoning (a la Q*), gameplay, and even physical robots.
Sam Altman
@sama
said at MIT recently that further progress in AI wont come from making models more ginormous. Human feedback and new architectures may prove key, says
@nickfrosst
of
@cohere
.
Some exciting news: I'm joining
@WIRED
. It's been a pleasure working with so many great people at
@techreview
, but I’m thrilled to make the move. I’ll continue covering AI in collaboration with
@tsimonite
, and I start next week.
Zuck could probably earn billions in repaired reputation by quickly launching a viable alternative to twitter or donating a ton of money and resources to mastodon.
Open sourcing the "the Twitter algorithm" doesn't make much sense when the platform is, in fact, a complex system of code and machine learning models that interact with human behavior in ways that can be mysterious even to Twitter. My latest for
@WIRED
:
One of my favorite samples from the Progressive GANs paper is this one from the "cat" category. Apparently some of the cat training photos were memes with text. The GAN doesn't know what text is so it has made up new text-like imagery in the right place for a meme caption.
My latest story is about probably the world's most complex & important machine: ASML's EUV lithography system. It's vital for gadgets like the
#iPhone13
and will drive progress in AI, 5G, etc. Most importantly, the US has made sure China cannot buy them.
The next
@deepmind
algorithm, Gemini, may combine a powerful language model with cutting-edge reinforcement learning, perhaps helping with planning and memory. That's one thing I learned from a very interesting chat with
@demishassabis
recently.
This excellent interview with
@larrybrilliant
by
@StevenLevy
ends on a note of optimism "When we do get through it...it will cause us to reexamine what has caused the fractional division we have in this country. The virus is an equal opportunity infector."
My latest for
@WIRED
: Google and Everyday Robots, an X spinout, are using large language models to make robots capable of understanding more complex human commands:
Scoop: Grok had a good run but there’s a new open source model that beats out the rest: DBRX. I got an inside look at the impressive work that went into building it:
Chinese game show where a Harvard grad tries to answer Qs faster than a robot developed by the search Co. SOGOU. Each time she's beaten, some members of the audience fall through the floor 😂
GPT-4 often "seems" remarkably clever, and some believe it exhibits features of more general intelligence. Experts say we need new methods for probing the model's intelligence, and more transparency from
@OpenAI
about how it works to truly understand it.
My latest story for
@WIRED
: The DoD is rushing to adopt artificial intelligence, but it expects America's enemies to try to trick, manipulate, and hack those AI systems. So a Pentagon "red team" is working to hack those AI tools before anyone else can:
My latest story for
@WIRED
is about an AI program that learned to play Gran Turismo with superhuman skill. The game is incredibly dynamic and complex, so the approach might someday be used in self-driving cars and robots that need work alongside humans.
My latest story for
@WIRED
is about the global rush to build powerful GPT3-type language models. The programs already reflect different cultural perspectives, and they may underpin countless future AI products.
@mwseibel
I think some pushback is fair. He is a billionaire who is spending hundreds of millions to develop, promote, and push something that no-one seems to want, and which serves to further his business interests. It's not like everyone is shitting on some plucky developer.
My latest story for
@wired
: AI that generates computer code is picking up bad habits. GitHub's Copilot, trained on millions of lines written by humans, produces plenty of insecure code it turns out. The solution? More AI of course.
MIT researchers are testing an app designed show if you've crossed paths with someone infected with the coronavirus. It might help slow the outbreak, but there are risks
Who will fund my startup that uses GPT-4 to generate endless PR pitches very loosely related GPT-4? Or my other one that writes stories about GPT-4 based on said pitches using GPT-4? Ultimate goal is automating news cycle to accelerate an era of infinite info abundance/bullshit.
I am now writing the
@WIRED
Fast Forward newsletter. (I'm only a few years late to the trend). The first issue is about the AI search wars. You can see a preview and subscribe here:
Amazing to watch the PR pitches pivot from "do you want to talk to *some random exec* about /why ChatGPT is the best thing ever" to "/why ChatGPT is not so great." 🙄
Interesting tidbit from
@elonmusk
's clubhouse chat, where he suggests
@deepmind
has no more games to conquer, which demonstrates how advanced AI is. I think it's more likely the converse: they simply don't know how to tackle tasks outside a relatively constrained domain.
AI is improving dramatically. Looks at GPT-1 versus GPT-2, versus GPT-3 and just how radically that's improved. Look at DeepMind, I mean I think I've run out of games to win at basically.
Here's my latest story, about the spiraling cost of cutting-edge AI, how that limits what many startups and academic researchers can do, and a startup (
@MosaicML
) that's trying to make neural network training a lot more efficient.
A study of the Twitter data "firehose" by researchers at
@dgtl_planet
at Tufts found that racist, anti-LGBTQ, and antisemitic posts have gained more prominence since Musk took control of the platform. Advertisers are not best pleased:
My latest story for
@WIRED
looks at why Elon Musk wants to make chips as well as cars. He's betting that progress in autonomous driving will come from enormous neural networks. It locks Tesla into one technique but could prove key to maintaining an edge.
There’s never been as many people in MITs Sandberg center as there are for Sam Altman speaking about GPT-4 and generative AI. You can feel the east coast fomo
My latest story: The man behind ClearviewAI, a controversial face recognition tool that lets police find people online, says he's developing new AI features to make it more powerful. Some say it could also make it even more problematic.
I spoke to
@LHSummers
about the best way to revitalize the US economy. He says the Trump administration is blowing it: "We need to be investing, far beyond what we are, in developing an infrastructure...We need to be at a wartime mobilization level."
Musk just got rid of most of Twitter's Ethical AI Team, a highly respected group that was working to make the company's algorithms more transparent and fair.
My latest story for WIRED: how AI will transform the chip industry by reducing the time required to come up with innovative new chip designs. The tech will of course be hugely important to the countries hoping to dominate chipmaking.
I am excited to share a new study led by Shachar Givon &
@MatanSamina
w/ Ohad Ben Shahar: Goldfish can learn to navigate a small robotic vehicle on land. We trained goldfish to drive a wheeled platform that reacts to the fish’s movement ().
I asked the Dept-Sec of Defense, and others with inside knowledge, what it will take for the US to be decisive in future wars. The answer is the kind of technical talent that is currently snapped up by Google, Meta, and Amazon.
Stanford created a new center to study gigantic AI models, which it claims are "foundational" to the field and its future. Others say that's a bunch of baloney.
My latest for
@WIRED
: An "AI bias bounty" finds that Twitter's notorious image algorithm discriminates by age, weight, and culture, as well as gender and race. The contest shows how outside experts can hold AI accountable, by will companies let them?
Meet the U.S. Navy task force using AI to police the pirate-invested waters of the Gulf of Oman. The increasingly capable autonomous systems being tested there offer a glimpse of how AI will transform warfare.
My latest piece for
@WIRED
is about the dizzy excitement around generative AI (algorithms that generate weird and wonderful images, text, code, and more. Many VCs see a fundamentally transformational new tech.
America's share of chipmaking shrunk from 37 to 12 percent between 1990 and 2019. US Sec. of Commerce Gina Raimondo says the reality is far worse: "Zero percent of leading-edge chips are made in America right now,” she warns.
I spoke to the creators of the AI meme-machine Dall-E Mini. Beyond being great fun, they argue that it shows the value of opening up AI research. As image-generating AI systems improve, in future we may see a lot more controversial and misleading imagery.
I just got access to the new, more unhinged version Bing and it's a pretty wild. I asked it where a movie was showing near me, and it told me to use Google Maps.
In China, many offices have installed cardboard or plastic dividers between desks in response to Covid-19. Along with more high-tech approaches, like video cameras and contact tracing apps, US offices are likely to be similarly transformed:
Stephen A. Schwarzman, who is funding MIT's new AI-focused College of Computing, says "the U.S. missed the moment in AI," and that China's advances inspired him to try to influence U.S. competitiveness.
Like it or not, killer AI weapons are coming. Pentagon experiments show that swarms of drones can help in urban warfare, and the technology actually works better with direct human control, including over use of lethal force.
My latest story is about a fascinating effort to teach machines to reflect human ethics. The idea of machines making moral decisions upsets some, but as AI is used more widely it may be crucial for computers to know what's right and wrong.
Interesting research on memes shows how they are mass-produced and weaponized by /The Donald/ sub-reddit especially: . How long before meme-fluence is automated?
My latest for
@WIRED
looks at why using ChatGPT for search may be a problem. Microsoft, Baidu, and Google are rushing to incorporate the tech but it is designed to make things up and cannot easily access new info. What could go wrong?
I wrote about the misgivings some AI researchers have over dual-use algorithms, especially when it comes to autonomous weapons. "I'm [at a] crossroads in my career, trying to figure out whether ML can do more good than bad,” says
@JCornebise
A key economic adviser to Obama,
@jasonfurman
, a says Biden's first AI policy should be reversing an immigration policy that is starving the US of the top talent.
My latest for
@WIRED
: I spoke to the CEO of JiDU, a China company created by an EV maker and an AI company, ahead of the launch of its first car, ROBO-1. The story behind it shows how China has become the world's most important source of auto innovation.
I’m a big fan of the MIT
@techreview
's annual list of breakthrough technologies — so when they asked me to choose this year’s list, I jumped at the chance.
Video of Uber accident shows the driver disengaged (a major problem with partial (level 3) autonomy). But it's damning that the tech apparently failed completely.