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But making decisions well is incredibly difficult, even for highly educated professional decision makers. As Chip Heath and Dan Heath point out in their book “Decisive,” 83 percent of corporate mergers and acquisitions do not increase shareholder value, 40 percent of senior hires do not last 18 months in their new position, 44 percent of lawyers would recommend that a young person not follow them into the law.

It’s becoming incredibly important to learn to decide well, to develop the techniques of self-distancing to counteract the flaws in our own mental machinery. The Heath book is a very good compilation of those techniques.

assume positive intent. When in the midst of some conflict, start with the belief that others are well intentioned. It makes it easier to absorb information from people you’d rather not listen to.

Suzy Welch’s 10-10-10 rule. When you’re about to make a decision, ask yourself how you will feel about it 10 minutes from now, 10 months from now and 10 years from now. People are overly biased by the immediate pain of some choice, but they can put the short-term pain in long-term perspective by asking these questions.

An "explosion" that may also be a "dissolution" or "disintegration," in my view. Unlimited choices. Conduct without boundaries. All of which may be viewed as either "great" or "terrible." The poor suffer when they have no means to pursue choices, which is terrible. The rich seem only to want more and more, wealth without boundaries, which is great for those so able to do. Yes, we need a new decision-making tool, but perhaps one that is also very old: simplify, simplify,simplify by setting moral boundaries that apply to all and which define concisely what our life together ought to be.

our tendency to narrow-frame, to see every decision as a binary “whether or not” alternative. Whenever you find yourself asking “whether or not,” it’s best to step back and ask, “How can I widen my options?”

deliberate mistakes. A survey of new brides found that 20 percent were not initially attracted to the man they ended up marrying. Sometimes it’s useful to make a deliberate “mistake” — agreeing to dinner with a guy who is not your normal type. Sometimes you don’t really know what you want and the filters you apply are hurting you.

It makes you think that we should have explicit decision-making curriculums in all schools. Maybe there should be a common course publicizing the work of Daniel Kahneman, Cass Sunstein, Dan Ariely and others who study the way we mess up and the techniques we can adopt to prevent error.

The explosion of choice places extra burdens on the individual. Poorer Americans have fewer resources to master decision-making techniques, less social support to guide their decision-making and less of a safety net to catch them when they err.

the stress of scarcity itself can distort decision-making. Those who experienced stress as children often perceive threat more acutely and live more defensively.

The explosion of choice means we all need more help understanding the anatomy of decision-making.

living in an area of concentrated poverty can close down your perceived options, and comfortably “relieve you of the burden of choosing life.” It’s hard to maintain a feeling of agency when you see no chance of opportunity.

In this way the choice explosion has contributed to widening inequality.

The relentless all-hour reruns of "Law and Order" in 100 channel cable markets provide direct rebuff to the touted but hollow promise/premise of wider "choice." The small group of personalities debating a pre-framed trivial point of view, over and over, nightly/daily (in video clips), without data, global comparison, historic reference, regional content, or a deep commitment to truth or knowledge of facts has resulted in many choosing narrower limits: streaming music, coffee shops, Facebook--now a "choice" of 1.65 billion users.

It’s important to offer opportunity and incentives. But we also need lessons in self-awareness — on exactly how our decision-making tool is fundamentally flawed, and on mental frameworks we can adopt to avoid messing up even more than we do.

Quadriplegics like Scheuermann have manipulated robotic arms using BCI before.

"With three degrees of control, you can do things like manipulate a computer screen and that gentleman was able to reach out and touch his daughter

But to actually manipulate objects, to feed yourself for example, you need more than those three dimensions of control. That's what makes Jan so remarkable

"The biggest change," Boninger said, "is the sophistication with which we've learned to interpret electrical activity in the brain."

"I wouldn't say we have decoded the brain," Boninger said. "But we are getting closer. We can't read emotions but we can interpret motions the brain wants the body to make."

"For me, it's been one of the most exciting endeavors I have ever undertaken," Sheuermann wrote on the University of Pittsburgh Medical Center blog. "Being with a team of scientists and using cutting-edge technology that makes me the only person in the world who can scratch her nose with a robotic arm, well, that's thrilling."

Pandu Nayak, a vice president for search who leads the company’s search-quality teams, told me that snippets are designed to be helpful to the user, to surface relevant and high-caliber results. He argued that they are “usually an invitation to learn more” about a subject

“It’s a strange world where these massive companies think they’re just going to slap this generative slop at the top of search results and expect that they’re going to maintain quality of the experience,” Nicholas Diakopoulos, a professor of communication studies and computer science at Northwestern University, told me. “I’ve caught myself starting to read the generative results, and then I stop myself halfway through. I’m like, Wait, Nick. You can’t trust this.”

Nayak said the team focuses on the bigger underlying problem, and whether its algorithm can be trained to address it.

If Nayak is right, and people do still follow links even when presented with a snippet, anyone who wants to gain clicks or money through search has an incentive to capitalize on that—perhaps even by flooding the zone with AI-written content.

Nayak told me that Google plans to fight AI-generated spam as aggressively as it fights regular spam, and claimed that the company keeps about 99 percent of spam out of search results.

The result is a world that feels more confused, not less, as a result of new technology.

The Kenya result still pops up on Google, despite viral posts about it. This is a strategic choice, not an error. If a snippet violates Google policy (for example, if it includes hate speech) the company manually intervenes and suppresses it, Nayak said. However, if the snippet is untrue but doesn’t violate any policy or cause harm, the company will not intervene.

experts I spoke with had several ideas for how tech companies might mitigate the potential harms of relying on AI in search

For starters, tech companies could become more transparent about generative AI. Diakopoulos suggested that they could publish information about the quality of facts provided when people ask questions about important topics

They can use a coding technique known as “retrieval-augmented generation,” or RAG, which instructs the bot to cross-check its answer with what is published elsewhere, essentially helping it self-fact-check. (A spokesperson for Google said the company uses similar techniques to improve its output.) They could open up their tools to researchers to stress-test it. Or they could add more human oversight to their outputs, maybe investing in fact-checking efforts.

Fact-checking, however, is a fraught proposition. In January, Google’s parent company, Alphabet, laid off roughly 6 percent of its workers, and last month, the company cut at least 40 jobs in its Google News division. This is the team that, in the past, has worked with professional fact-checking organizations to add fact-checks into search results

Alex Heath, at The Verge, reported that top leaders were among those laid off, and Google declined to give me more information. It certainly suggests that Google is not investing more in its fact-checking partnerships as it builds its generative-AI tool.

Nayak acknowledged how daunting a task human-based fact-checking is for a platform of Google’s extraordinary scale. Fifteen percent of daily searches are ones the search engine hasn’t seen before, Nayak told me. “With this kind of scale and this kind of novelty, there’s no sense in which we can manually curate results.”

Creating an infinite, largely automated, and still accurate encyclopedia seems impossible. And yet that seems to be the strategic direction Google is taking.

A representative for Google told me that this was an example of a “false premise” search, a type that is known to trip up the algorithm. If she were trying to date me, she argued, she wouldn’t just stop at the AI-generated response given by the search engine, but would click the link to fact-check it.