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The quiet October 29 announcement of the partnership is light on details, stating that Trust Lab and In-Q-Tel — which invests in and collaborates with firms it believes will advance the mission of the CIA — will work on “a long-term project that will help identify harmful content and actors in order to safeguard the internet.” Key terms like “harmful” and “safeguard” are unexplained, but the press release goes on to say that the company will work toward “pinpointing many types of online harmful content, including toxicity and misinformation.”

Though Trust Lab’s stated mission is sympathetic and grounded in reality — online content moderation is genuinely broken — it’s difficult to imagine how aligning the startup with the CIA is compatible with Siegel’s goal of bringing greater transparency and integrity to internet governance. What would it mean, for instance, to incubate counter-misinformation technology for an agency with a vast history of perpetuating misinformation? Placing the company within the CIA’s tech pipeline also raises questions about Trust Lab’s view of who or what might be a “harmful” online, a nebulous concept that will no doubt mean something very different to the U.S. intelligence community than it means elsewhere in the internet-using world.

‘Pangeos’ is a turtle-shaped ‘terayacht,’ a giant floating city imagined by Italian firm Lazzarini Design Studio. While it only exists as a rendering for now, upon completion it could be the largest floating structure in the world. #yahoofinance.

Don’t Miss: Valley of Hype: The culture that built Elizabeth Holmes.
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It has been built to be a self-sustaining floating city.

Designer Pierpaolo Lazzarini has proposed a concept for a bold and innovative terayacht which is a giant floating continent double the size of the Roman Colosseum, as first reported by DesignBoom last Friday. It’s called the Pangeos watercraft and it consists of a floating city that includes various hotels, shopping centers, parks, as well as ship and aircraft ports.

Inspired by Pangea.

The concept can host up to 60,000 guests in the middle of the sea surrounded by water and is in the shape of a gigantic turtle.

O’Rourke soon started his own board, TacoLand, which was freewheeling and largely about punk music. “This was the counterculture: Maximum Rock & Roll[magazine], buying records by catalog you couldn’t find at record stores,” he said.

When he was younger, he was arrested on drunk-driving charges and played in a punk band. Now 46, he still skateboards.

Interestingly I played in Punk Rock bands in New Orleans, and used CDC’s BO2k to show my friend KJ that Southwest Research’s network was not safe. I also used it in Austin to show my friend Jacob Grimes’ boss that his network was not safe. It was a handy tool for hackers and security researchers back in the day. Texans know all too much about it. This gave Beto major cool points in my book. Hacktivismo still continues today with people like Johnny Long, and I would hope me too. I loved the Ninja Strike Force back in the day.


As Beto O’Rourke starts his run for U.S. president, members of a group famous for “hactivism” come forward for the first time to claim him as a former comrade.

So how should companies begin to think about ethical data management? What measures can they put in place to ensure that they are using consumer, patient, HR, facilities, and other forms of data appropriately across the value chain—from collection to analytics to insights?

We began to explore these questions by speaking with about a dozen global business leaders and data ethics experts. Through these conversations, we learned about some common data management traps that leaders and organizations can fall into, despite their best intentions. These traps include thinking that data ethics does not apply to your organization, that legal and compliance have data ethics covered, and that data scientists have all the answers—to say nothing of chasing short-term ROI at all costs and looking only at the data rather than their sources.

In this article, we explore these traps and suggest some potential ways to avoid them, such as adopting new standards for data management, rethinking governance models, and collaborating across disciplines and organizations. This list of potential challenges and remedies is not exhaustive; our research base was relatively small, and leaders could face many other obstacles, beyond our discussion here, to the ethical use of data. But what’s clear from our research is that data ethics needs both more and sustained attention from all members of the C-suite, including the CEO.

It is scheduled to be completed by 2050.

Tokyo’s Metropolitan Government plans to build a high-tech, sustainable city on reclaimed land in its bay area — Tokyo Bay eSG. Announced in April 2021, the Tokyo Metropolitan Government is clearing the decks for action to make the city carbon-neutral and better able to withstand future climate and health crises.

As its name implies, Tokyo eSG will be designed on the fundamentals of social and environmental governance and combine cutting-edge green technologies.


Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Editorial Disclosure: The author of this article has a business relationship with James Phare, CEO and founder of Neural Alpha.

What does sustainability actually mean for organizations? Can it be measured, and if yes, how so? Often, these are obvious questions with less-than-obvious answers, even for sustainability and environmental, social and governance (ESG) professionals like James Phare.

Title: Strong AI: Why we should be concerned about something nobody knows how to build.
Synopsis: At the moment, nobody fully knows how to create an intelligent system that rivals or exceed human capabilities (Strong AI). The impact and possible dangers of Strong AI appear to concern mostly those futurists that are not working in day-to-day AI research. This in turn gives rise to the idea that Strong AI is merely a myth, a sci fi trope and nothing that is ever going to be implemented. The current state of the art in AI is already sufficient to lead to irrevocable changes in labor markets, economy, warfare and governance. The need to deal with these near term changes does not absolve us from considering the implications of being no longer the most intelligent beings on this planet.
Despite the difficulties of developing Strong AI, there is no obvious reason why the principles embedded in biological brains should be outside of the range of what our engineering can achieve in the near future. While it is unlikely that current narrow AI systems will neatly scale towards general modeling and problem solving, many of the significant open questions in developing Strong AI appear to be known and solvable.

Talk held at ‘Artificial Intelligence / Human Possibilities’ event as adjunct to the AGI17 conference in Melbourne 2017.

Assessing emerging risks and opportunities in machine cognition.

With AI Experts Ben Goertzel, Marcus Hutter, Peter Cheeseman and Joscha Bach.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

As the architecture, engineering and construction (AEC) industry is undergoing a staggering growth in the creation of data, organizations need to place a strong focus on data governance best practices.

That is one of the findings of a new study of the AEC sector that reveals it has experienced a 31.2% compound growth rate in data storage since 2017. The amount of new data being captured or created is staggering, but getting full value from it depends on how the data is managed, stored, accessed and protected.

An international team of scientists, led by the University of Leeds, have assessed how robotics and autonomous systems might facilitate or impede the delivery of the UN Sustainable Development Goals (SDGs).

Their findings identify key opportunities and key threats that need to be considered while developing, deploying and governing robotics and autonomous systems.

The key opportunities robotics and autonomous systems present are through autonomous task completion, supporting human activities, fostering innovation, enhancing and improving monitoring. Emerging threats relate to reinforcing inequalities, exacerbating , diverting resources from tried-and-tested solutions, and reducing freedom and privacy through inadequate governance.