All MAGA Wanted Was the Epstein Files. For years, MAGA influencers demanded the release of the Epstein files. Now that 20,000 documents have been released, many raising questions about Donald Trump, they're shrugging. MAGA could care less about the latest document dump on disgraced financier and convicted sexual abuser Jeffrey Epstein . On Wednesday, the House Oversight Committee released 20,000 documents from Epstein's estate, a number of which directly reference president Donald Trump.

Everyone is talking about the latest AI project, Chat GBT, and the responses have ranged from excitement to terror. In fact, Chat GBT has become such a cultural phenomenon that the site is operating at overcapacity, and you can't even get on right now. Kind of like when you call the airline and they ask for your number and say they will text you when you are next in line. In the meantime, AI is already impacting various industries but none more visible or game changing than the sports business. The reason is that predicting future outcomes are essential to everything in sports.

A robot avatar that mimics the motions of a human controller could take the place of workers in several dangerous jobs, such as tree trimming and construction, by the end of 2022. The challenge: If a tree branch gets too close to a power line, it can cause electrical outages or, even worse, dangerous fires (as Californians know all too well). To avoid this, utility companies have to regularly trim trees near their lines. But it's dangerous work, as workers are dozens of feet above the ground, using sharp power tools to trim trees while power lives are still active -- this puts them at risk of falls, cuts, and electrocution, all at once. By some estimates, tree trimming is one of the most dangerous jobs in the country.

Now, I think there are very few people that disagree with the idea that the development of artificial intelligence needs some guardrails, and I applaud efforts to create a standard for the rest of the world to follow. The only issue is that the EU isn't exactly a world leader when it comes to AI. Speaking at Microsoft's Data Science and Law forum earlier this month, Guntram Wolff, director of Brussels-based economic think tank Bruegel, explained to me that of the 30 leading AI patents out there, only four are from European applicants. Of what are considered to be the 100 most exciting startups in AI from around the world, there are only two operating in Europe (excluding the UK, more on that later). Wolff has previously expressed doubt over the EU's ability to maintain relevance in this space, and has urged the EU to invest more in artificial intelligence or else risk an over-reliance on services from other countries, namely the US and China - services which could be disrupted or even withdrawn in times of crisis. I'm not going to touch on those issues, as Wolff has already expertly explored this in his Politico piece.

H. Kargupta: Connected Cars: How Distributed Data Mining Is Changing the Next Generation of Vehicle Telematics Products.

A machine-learning method discovered a hidden clue in people's language predictive of the later emergence of psychosis -- the frequent use of words associated with sound. A paper published by the journal npj Schizophrenia published the findings by scientists at Emory University and Harvard University. The researchers also developed a new machine-learning method to more precisely quantify the semantic richness of people's conversational language, a known indicator for psychosis. Their results show that automated analysis of the two language variables -- more frequent use of words associated with sound and speaking with low semantic density, or vagueness -- can predict whether an at-risk person will later develop psychosis with 93 percent accuracy. Even trained clinicians had not noticed how people at risk for psychosis use more words associated with sound than the average, although abnormal auditory perception is a pre-clinical symptom.

What's the most important thing for people to know about the full-body exoskeleton from Sarcos Robotics, which can turn an assembly-line worker into a superhero? "We're taking orders," says Sarcos CEO Ben Wolff. The company has been working on this wearable robotics technology since 2000, when engineers in its Salt Lake City headquarters began cobbling together experimental supersoldier suits for the U.S. military. A 2010 proto type, which enabled the wearer to punch through wooden boards, earned the nickname "the Iron Man suit" in homage to the high-tech gear in the eponymous comic book and movies. But that bulky version kept the user tethered to the wall by a power cord--something that would presumably interfere with superhero activities--and the suit remained in R&D.

Docked in Lewes, Delaware, is a 166-foot ship called the DELRIVER that is rarely called out of port. Nonetheless, it's staffed 24/7 by a four-person crew and stands ready for action at a moment's notice. The DELRIVER is an oil-spill response vessel, funded by the local oil industry to clean up spills in the Delaware Bay as soon as they happen. The last major spill in the area was in 2004, when the tanker Athos spewed 265,000 gallons of heavy crude from Venezuela into the Delaware River. The last spill of any kind that it responded to was a small diesel spill in 2014.

This paper describes a novel perspective on the foundations of mathematics: how mathematics may be seen to be largely about 'information compression via the matching and unification of patterns' (ICMUP). ICMUP is itself a novel approach to information compression, couched in terms of non-mathematical primitives, as is necessary in any investigation of the foundations of mathematics. This new perspective on the foundations of mathematics has grown out of an extensive programme of research developing the "SP Theory of Intelligence" and its realisation in the "SP Computer Model", a system in which a generalised version of ICMUP -- the powerful concept of SP-multiple-alignment -- plays a central role. These ideas may be seen to be part of a "Big Picture" comprising six areas of interest, with information compression as a unifying theme. The paper describes the close relation between mathematics and information compression, and describes examples showing how variants of ICMUP may be seen in widely-used structures and operations in mathematics. Examples are also given to show how the mathematics-related disciplines of logic and computing may be understood as ICMUP. There are many potential benefits and applications of these ideas.

This paper describes a novel approach to software engineering derived from the "SP Theory of Intelligence" and its realisation in the "SP Computer Model". Despite superficial appearances, it is shown that many of the key ideas in software engineering have counterparts in the structure and workings of the SP system. Potential benefits of this new approach to software engineering include: the automation or semi-automation of software development, with support for programming of the SP system where necessary; allowing programmers to concentrate on 'world-oriented' parallelism, without worries about parallelism to speed up processing; support for the long-term goal of programming the SP system via written or spoken natural language; reducing or eliminating the distinction between 'design' and 'implementation'; reducing or eliminating operations like compiling or interpretation; reducing or eliminating the need for verification of software; reducing the need for validation of software; no formal distinction between program and database; the potential for substantial reductions in the number of types of data file and the number of computer languages; benefits for version control; and reducing technical debt.