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Bryan Johnson, 45, is using his life as a science experiment to see how long he can live and to reverse signs of aging as he goes. NBC News’ Gadi Schwartz reports.

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#NBCNews #Aging #ScienceExperiment

Picture this: You’re in a conference room, surrounded by a mix of designers, engineers and strategists, all eager to brainstorm your company’s next big innovation. Could a machine be more effective at guiding this brainstorming session than your human team? It may sound counterintuitive, but AI is not only catching up to human creativity — it’s excelling in ways that could redefine how we approach innovation.

Related: How To Use Entrepreneurial Creativity For Innovation

An innovative experiment flying aboard NASA’s Psyche mission just hit its first major milestone by successfully carrying out the most distant demonstration of laser communications. The tech demo could one day help NASA missions probe deeper into space and uncover more discoveries about the origin of the universe.

Launched in mid-October, Psyche is currently en route to catch humanity’s first glimpse of a metal asteroid between the orbits of Mars and Jupiter. The spacecraft will spend the next six years traveling about 2.2 billion miles (3.6 billion kilometers) to reach its namesake, located in the outer part of the main asteroid belt.

Along for the ride is the Deep Space Optical Communications technology demonstration, or DSOC, which is carrying out a mission of its own during the first two years of the journey.

Gravity Industries founder Richard Browning has released an interesting video on TikTok showing off a new gun harness for the company’s innovative Daedalus jetpack.

In the video, the pilot, presumably Browning, can be seen aiming a pair of pistols using head-tracking technology and firing them remotely using a trigger. Possibly inspired by the shoulder cannon from the Predator franchise, the shoulder-mounted guns are designed to help protect the pilot during kinetic engagements.

As organizations grow, they begin to prioritize process over product. That impedes real innovation. When organizations realize this, they typically respond in three ways: By hiring consultants to do a reorg (that’s “organizational theater”), adopt new processes such as hackathons to spur innovation (that’s “innovation theater”), or take steps to try to reform their bureaucratic behaviors (that’s “process theater”). Instead, what organizations need is an Innovation Doctrine that addresses culture, mindset, and process and guides the organization’s efforts to achieve real innovations.

Page-utils class=” article-utils—vertical hide-for-print” data-js-target=” page-utils” data-id=” tag: blogs.harvardbusiness.org, 2007/03/31:999.242633” data-title=” Why Companies Do “Innovation Theater” Instead of Actual Innovation” data-url=”/2019/10/why-companies-do-innovation-theater-instead-of-actual-innovation” data-topic=” Innovation” data-authors=” Steve Blank” data-content-type=” Digital Article” data-content-image=”/resources/images/article_assets/2019/10/Oct19_07_-513439309-383x215.jpg” data-summary=”

They put too much focus on process and not enough on product.

Exclusive: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say https://www.reuters.com/technology/sam-altmans-ouster-openai…11-22/ OpenAI Made an AI Breakthrough Before Altman Firing, Stoking Excitement and Concern https://www.theinformation.com/articles/openai-made-an-ai-br…nd-concern The Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html Get on my daily AI newsletter 🔥 https://natural20.beehiiv.com/subscribe [News, Research and Tutorials on AI] See more at: https://natural20.com/ My AI Playlist: https://www.youtube.com/playlist?list=PLb1th0f6y4XROkUAwkYhcHb7OY9yoGGZH

ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a 6-meter-high and 65-meter-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park.

The team of researchers included Gramazio Kohler Research, the Robotics Systems Lab, Vision for Robotics Lab, and the Chair of Landscape Architecture. They developed this innovative design application as part of the National Center of Competence in Research for Digital Fabrication (NCCR dfab). Their work has been described in Science Robotics.

Using sensors, the can autonomously draw a 3D map of the construction site and localize existing and stones for the wall’s construction. Specifically designed tools and machine approaches enable the excavator to scan and grab large stones in its immediate environment. It can also register their approximate weight as well as their center of gravity.

In a letter to the company’s board of directors, OpenAI researchers are said to have warned of an AI discovery that could pose a threat to humanity.

This was reported by Reuters, citing two sources familiar with the matter. The letter is also linked to Altman’s firing, but is not the only reason, according to Reuters.

According to a source from The Verge, the board never received such a letter, which is why it played no role in Altman’s firing. Reuters says it has not seen the letter. The Information reports not on the letter itself, but on the “Q*” breakthrough described in it.

Inflection AI just announced Inflection-2, a HUGE new 175 billion parameter language model.

Capabilities exceed Google and Meta’s top models and “is very close” to catching GPT-4.

The CEO also said the company’s next model will be 10x larger in six months.


Inflection AI, the innovative startup behind the conversational chatbot Pi, has recently unveiled a new AI model, Inflection-2, claiming superior performance over popular models developed by Google and Meta. According to a recent Forbes report, this new model is rapidly gaining attention for its potential to rival OpenAI’s GPT-4.

Inflection-2 has demonstrated impressive results, outperforming Google’s PaLM Large 2 and Meta’s LLaMA 2 in various standard benchmarks. According to Inflection AI, their model is the most efficient of its size, only trailing behind OpenAI’s larger GPT-4 model.

Inflection AI’s vision for the future