Skip to main content

Home/ History Readings/ Group items matching "metaphor" in title, tags, annotations or url

Group items matching
in title, tags, annotations or url

Sort By: Relevance | Date Filter: All | Bookmarks | Topics Simple Middle
10More

The Jury, Not the Prosecutor, Decides Who's Guilty - The Atlantic - 0 views

www.theatlantic.com/...678564 trump trial political prosecution rule of law got
shared by Javier E on 31 May 24 - No Cached
  • Manhattan District Attorney Alvin Bragg is an elected prosecutor who ran as a Democrat in a heavily Democratic city. Trump also received more scrutiny from prosecutors after he became a political figure than he’d ever experienced before. But none of this has any bearing on whether Trump actually committed the crimes with which he was charged.
  • The bar for convicting any defendant in the American justice system is extremely high: It requires a unanimous decision by 12 citizens who deem a crime to have occurred beyond a reasonable doubt
  • The more important question is not what motivated the charges, but whether they were justified and proved to a jury’s satisfaction.
  • ...7 more annotations...
  • A prosecutor may well have political motivation, but his motivation isn’t what determines a verdict; he must prove his charges in court, through an adversarial process. Despite the yelps that Trump was tried in a kangaroo court, his lawyers had every opportunity to challenge jurors, introduce evidence, question prosecution witnesses, and call their own.
  • Trump is also right to note that his business practices and records didn’t attract anywhere near as much attention before he was a politician. Trump was famous before he was president, but becoming the most famous person on Earth is something else entirely. With the perks of fame comes more scrutiny. (Just ask Hunter Biden.)
  • Supporters of the Trump prosecution should be honest about the possibility of political motive underlying the case. The danger of political bias is an inherent flaw in the system of elected district attorneys that most jurisdictions around the U.S. use.
  • Capone was a notorious gangster, involved in murder, bootlegging, and racketeering, so it seems ludicrous that he was nailed on something as procedural and dry and quotidian as evading taxes.
  • the Capone case. The mobster committed many crimes, but he did them in a way that made them hard to prosecute. Like many organized-crime bosses, he made sure to speak about things elliptically and keep his fingerprints (literal and metaphorical) off things. (Does this sound familiar?) But Capone couldn’t hide financial crimes as effectively. Prosecutors went after him for tax evasion because that’s what they could prove. It is not selective prosecution to go charge someone for a crime for which you have evidence, even if you don’t charge them for the other, more difficult-to-prove crimes. It is realism. It’s also justified and just.
  • Republican cries of political prosecution can also be understood in another, better way. Because Trump’s defenders are unwilling to argue that he didn’t falsify the records or that it shouldn’t be a crime, they’re actually arguing that he should get a pass on crimes they view as minor because he’s a political figure
  • “If they can do this to me, they can do this to anyone,” Trump said at a press conference this morning. Indeed, that’s the point of equal justice under the law.
18More

AI scientist Ray Kurzweil: 'We are going to expand intelligence a millionfold by 2045' ... - 0 views

www.theguardian.com/...e-ai-the-singularity-is-nearer ai kurzweil predictions evaluation 2024
shared by Javier E on 29 Jun 24 - No Cached
  • American computer scientist and techno-optimist Ray Kurzweil is a long-serving authority on artificial intelligence (AI). His bestselling 2005 book, The Singularity Is Near, sparked imaginations with sci-fi like predictions that computers would reach human-level intelligence by 2029 and that we would merge with computers and become superhuman around 2045, which he called “the Singularity”. Now, nearly 20 years on, Kurzweil, 76, has a sequel, The Singularity Is Nearer
  • no longer seem so wacky.
  • Your 2029 and 2045 projections haven’t changed…I have stayed consistent. So 2029, both for human-level intelligence and for artificial general intelligence (AGI) – which is a little bit different. Human-level intelligence generally means AI that has reached the ability of the most skilled humans in a particular domain and by 2029 that will be achieved in most respects. (There may be a few years of transition beyond 2029 where AI has not surpassed the top humans in a few key skills like writing Oscar-winning screenplays or generating deep new philosophical insights, though it will.) AGI means AI that can do everything that any human can do, but to a superior level. AGI sounds more difficult, but it’s coming at the same time.
  • ...15 more annotations...
  • Why write this book? The Singularity Is Near talked about the future, but 20 years ago, when people didn’t know what AI was. It was clear to me what would happen, but it wasn’t clear to everybody. Now AI is dominating the conversation. It is time to take a look again both at the progress we’ve made – large language models (LLMs) are quite delightful to use – and the coming breakthroughs.
  • It is hard to imagine what this would be like, but it doesn’t sound very appealing… Think of it like having your phone, but in your brain. If you ask a question your brain will be able to go out to the cloud for an answer similar to the way you do on your phone now – only it will be instant, there won’t be any input or output issues, and you won’t realise it has been done (the answer will just appear). People do say “I don’t want that”: they thought they didn’t want phones either!
  • The most important driver is the exponential growth in the amount of computing power for the price in constant dollars. We are doubling price-performance every 15 months. LLMs just began to work two years ago because of the increase in computation.
  • What’s missing currently to bring AI to where you are predicting it will be in 2029? One is more computing power – and that’s coming. That will enable improvements in contextual memory, common sense reasoning and social interaction, which are all areas where deficiencies remain
  • LLM hallucinations [where they create nonsensical or inaccurate outputs] will become much less of a problem, certainly by 2029 – they already happen much less than they did two years ago. The issue occurs because they don’t have the answer, and they don’t know that. They look for the best thing, which might be wrong or not appropriate. As AI gets smarter, it will be able to understand its own knowledge more precisely and accurately report to humans when it doesn’t know.
  • What exactly is the Singularity? Today, we have one brain size which we can’t go beyond to get smarter. But the cloud is getting smarter and it is growing really without bounds. The Singularity, which is a metaphor borrowed from physics, will occur when we merge our brain with the cloud. We’re going to be a combination of our natural intelligence and our cybernetic intelligence and it’s all going to be rolled into one. Making it possible will be brain-computer interfaces which ultimately will be nanobots – robots the size of molecules – that will go noninvasively into our brains through the capillaries. We are going to expand intelligence a millionfold by 2045 and it is going to deepen our awareness and consciousness.
  • Why should we believe your dates? I’m really the only person that predicted the tremendous AI interest that we’re seeing today. In 1999 people thought that would take a century or more. I said 30 years and look what we have.
  • I have a chapter on perils. I’ve been involved with trying to find the best way to move forward and I helped to develop the Asilomar AI Principles [a 2017 non-legally binding set of guidelines for responsible AI development]
  • All the major companies are putting more effort into making sure their systems are safe and align with human values than they are into creating new advances, which is positive.
  • Not everyone is likely to be able to afford the technology of the future you envisage. Does technological inequality worry you? Being wealthy allows you to afford these technologies at an early point, but also one where they don’t work very well. When [mobile] phones were new they were very expensive and also did a terrible job. They had access to very little information and didn’t talk to the cloud. Now they are very affordable and extremely useful. About three quarters of people in the world have one. So it’s going to be the same thing here: this issue goes away over time.
  • The book looks in detail at AI’s job-killing potential. Should we be worried? Yes, and no. Certain types of jobs will be automated and people will be affected. But new capabilities also create new jobs. A job like “social media influencer” didn’t make sense, even 10 years ago. Today we have more jobs than we’ve ever had and US average personal income per hours worked is 10 times what it was 100 years ago adjusted to today’s dollars. Universal basic income will start in the 2030s, which will help cushion the harms of job disruptions. It won’t be adequate at that point but over time it will become so.
  • Everything is progressing exponentially: not only computing power but our understanding of biology and our ability to engineer at far smaller scales. In the early 2030s we can expect to reach longevity escape velocity where every year of life we lose through ageing we get back from scientific progress. And as we move past that we’ll actually get back more years.
  • What is your own plan for immortality? My first plan is to stay alive, therefore reaching longevity escape velocity. I take about 80 pills a day to help keep me healthy. Cryogenic freezing is the fallback. I’m also intending to create a replicant of myself [an afterlife AI avatar], which is an option I think we’ll all have in the late 2020s
  • I did something like that with my father, collecting everything that he had written in his life, and it was a little bit like talking to him. [My replicant] will be able to draw on more material and so represent my personality more faithfully.
  • What should we be doing now to best prepare for the future? It is not going to be us versus AI: AI is going inside ourselves. It will allow us to create new things that weren’t feasible before. It’ll be a pretty fantastic future.
« First ‹ Previous 81 - 82 of 82
Showing 20▼ items per page