SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " sentence " 261 found 🔀 AI-powered Shuffle
Baltimore man sentenced for selling fentanyl in parking lot of Bridgeport business
A Baltimore, Maryland, man was sentenced for selling fentanyl in the parking lot of a business in Bridgeport.
Boone Co. man sentenced for major drug bust at Roscoe business
A Caledonia man finds out his prison sentence after pleading guilty to trafficking fentanyl and methamphetamine in 2022.
Sheikh Hasina’s return bid threatens to upend Bangladeshi politics
The ousted leader, who has been sentenced to death, plans a December homecoming in a high-stakes bid to resurrect her banned party.
James Dorr to spend life in mental health facility after killing addiction sponsor and dog
James Dorr will spend the rest of his life in a secure mental health facility for killing his addiction sponsor and dog, after serving a 3 year prison sentence.
ASU's efforts to improve health outcomes for Arizonans lauded by US congresswoman
As the Arizona State University Congressional Dialogue Series with Congresswoman Yassamin Ansari began Wednesday morning, David Schwartz used three words to describe the health care system:Chaotic. Complex. Confusing.But then Schwartz, vice president of strategy and business development for ASU Health, explained in one sentence how those three Cs could turn into As, so to speak.
Bridgeport business owner sentenced after sexually assaulting female customers in store basement
BRIDGEPORT, Conn. (WTNH) — A Bridgeport store owner convicted of sexually assaulting and unlawfully restraining female customers was sentenced to 86 months in prison, suspended after 17 months, on …
Founder/CEO and Clinical President of Digital Health Company Sentenced
The founder and former Chief Executive Officer (CEO) Ruthia He of Done Global Inc., a California-based digital mental health company, was sentenced today to six years in prison and a $1 million fine for orchestrating a scheme that used her company’s technology platform, compensation structure, and clinical protocols to unlawfully distribute over 37 million pills of Adderall,
Colorado governor fires two clemency board members who spoke out about Tina Peters’ commutation
Colorado Gov. Jared Polis on Wednesday fired two members of the state’s clemency board after they spoke out against his controversial decision to grant clemency to Tina Peters – an election denier whose sentence was cut in half by the outgoing Democratic governor in May.
Georgia man sentenced for stealing more than $65K worth of equipment from Sampson County business
A Georgia man was sentenced to federal prison for stealing $65,000 worth of farm machinery and equipment from a business in Sampson County, prosecutors said Tuesday.
Louisville woman sentenced to federal prison after pool business fraud
Tracy Davenport was sentenced to federal prison after facing charges in connection with defrauding customers from her pool installation business.
Netflix director Carl Rinsch sentenced to over 2 years in prison
The judge said Carl Rinsch may have been in a "manic state" when he bought five Rolls-Royces and a Ferrari but he spent years covering it up.
Sarah Ferguson visited Epstein in jail twice amid email exchanges: Report
A new report suggests that Sarah Ferguson visited Jeffrey Epstein twice in 2009 during his first prison sentence in Florida.
The Extraordinary Embezzlement Case That Rocked Scottish Politics
Peter Murrell, the husband of the former Scottish leader Nicola Sturgeon, was sentenced on Tuesday after he admitted to buying a bizarre range of items with the Scottish National Party’s money.
Jeffrey Donaldson's first night in prison as downfall shakes NI politics
Donaldson has been told to expect a "lengthy sentence" for a string of child sex crimes, including rape.
I Built a 7-Figure Business Teaching People How to Engineer AI Prompts. My Advice Usually Boils Down to 3 Sentences.
Mark Kashef's Fiverr post paved the way for a successful agency.
Trump threatens serious criminal penalties for those he says ‘vandalized’ the Reflecting Pool
President Donald Trump called Monday for those he accused of vandalizing the newly renovated, and now quickly deteriorating, Reflecting Pool on the National Mall to face serious criminal charges that could result in lengthy prison sentences.
From Parliament to prison - the fall of Jeffrey Donaldson
Jeffrey Donaldson's career took him from the UUP to the DUP leadership, but he now faces a prison sentence after being convicted of child sex abuse.
Kenya Court to Sentence Health Secretary for Defying Ebola Order
A Kenyan high court will sentence the nation’s health secretary for contempt after ruling that he ignored an order halting construction of an Ebola quarantine facility for US nationals in the East African nation.
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years | TALK 980am
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
PHNOM PENH, Cambodia (AP) — Cambodia’s Supreme Court on Friday upheld the incitement conviction of a prominent opposition politician while suspending the remainder of his sentence, keeping hi…
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years | WBBM Newsradio 780 AM & 105.9 FM
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years | Newsradio 1140 WRVA
Cambodian Supreme Court upholds incitement of opposition politician in politically charged case
PHNOM PENH, Cambodia (AP) — Cambodia's Supreme Court on Friday upheld the incitement conviction of a prominent opposition politician while suspending the remainder of his sentence, keeping him out of prison but unable to practice politics for years.
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years
California Man Gets 27 Months For Tax Evasion, Illegal Gambling Business
A California man who admitted operating an illegal offshore gambling business, laundering cash proceeds and evading federal tax has been sentenced to 27 months in prison.
Tracy Davenport sentenced to federal prison for defrauding customers of her pool business
Tracy Davenport was sentenced Monday to federal prison after pleading guilty to defrauding more than 50 customers through her pool business.
AI and brain-computer interface allow speechless ALS patient to work a full-time job
The hardware isn't new, but a UC Davis research team's machine learning-powered method of translating brain activity in an ALS patient into sentences with 92% accuracy is
Sean Combs' prison sentence gets 2 months shorter as release date moves up for third time
Sean Combs' prison release date has been moved up for the third time in four months, shortening his prison sentence by seven weeks.
Eldest son of Norway’s crown princess sentenced to 4 years in prison for rape
Marius Borg Høiby, the eldest son of Norway’s Crown Princess Mette-Marit, has been sentenced to four years in prison.
Rape trial verdict due in the case of Norwegian crown princess' eldest son
A Norwegian court is set to deliver its verdict and sentence in the trial of Crown Princess Mette-Marit's eldest son Marius Borg Høiby | KYW Newsradio
Metro Atlanta business owner pleads guilty to Medicaid Fraud, fake genetic testing services
Now convicted, the business owner will have to pay restitution and serve a 10-year sentence.
Rosie O'Donnell opens up about visiting daughter in prison: 'It was a big day for both of us'
The comedian said she and her daughter, Chelsea, have "gotten closer" since she was sentenced to prison time in October: "She's not fighting it anymore."
South Korea’s ex-President Yoon gets 30 years over drone operation
Seoul court sentences former leader for sending military drones into North Korea.
Four men receive life sentences for murder of Detroit-area business owner
Owner of Dayton-based dog training business sentenced to nearly 20 years after probation violation
The owner of a Dayton-based dog training business has been sentenced to nearly 20 years in prison after violating the terms of his probation, according to Miamisburg police.
The Health and Wellbeing of Formerly Incarcerated People in Connecticut: Insights from the DataHaven Community Wellbeing Survey
By Carter Shannon, Nat Markey, Nora Hodgson, Samantha Lydell, Andrew Carr, and Mark Abraham, DataHaven About this Report Approximately 1 in 5 men aged 18–64 in Connecticut have experienced incarceration at some point in their lives. This population includes people who have been held in a local jail for a single night and those who have served lengthy prison sentences, and it cuts across race, age, geography, and socioeconomic background in ways that reflect broader structural inequities in the criminal legal system. Yet across nearly every indicator of wellbeing, formerly incarcerated people in Connecticut face significant disparities compared to those without an incarceration history. This report explores data on the experiences of formerly incarcerated men in Connecticut from the DataHaven Community Wellbeing Survey (DCWS). The DCWS illuminates significant gaps in economic wellbeing, physical health, mental health, and social support between men with and without incarceration histories in Connecticut. The survey also reveals worse self-reported outcomes for formerly incarcerated people across a range of quality-of-life indicators, with disparities that are often most severe among those who have been incarcerated more than once. These disparities do not arise by chance. They are shaped by a policy landscape that erects lasting barriers to housing, employment, and healthcare for people leaving incarceration, as well as by the physical and psychological toll of incarceration itself. This report is being written in the political context of federal funding cuts to social programs and proposed rollbacks to Medicaid eligibility, changes that will disproportionately impact people with incarceration histories, who are more likely to rely on public health coverage and other safety net supports.
Calabasas man gets 2 years in prison for illegal offshore gambling business, evading taxes on $4 million
A Calabasas man was sentenced to 27 months in prison Tuesday for operating an illegal offshore gambling business, money laundering and tax evasion on more than $4 million, the U.S. Justice Departme…
Your DNA is changing all the time. Here’s why
We tend to think of the DNA strands that contain our genetic code as consistent, stable units. But in reality, the cells that make up our bodies are constantly replicating and changing. Even as you read this sentence, in fact, the genes within your cells are mutating. So, what causes these mutations and what’s the impact? Science writer Roxanne Khamsi examines the answers in her new book, Beyond Inheritance. Today on the show, she gets into how scientists examine these mutations, how they’ve shifted our understanding of disease and what the future of genetic therapy could entail.Interested in more biological and life sciences? Email us your question at shortwave@npr.org.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.
Britain's New Political Stars Just Don’t Do Regret
According to her housekeeper’s testimony, the New York hotel magnate Leona Helmsley’s policy on tax in the 1980s was “only the little people pay.” The courts found the so-called “Queen of Mean” guilty of federal tax evasion and the authorities ordered her sentence to begin on April 15 — for filing purposes, US Tax Day.
Business sentenced to $500,000, probation for asbestos violations in Saginaw
Applied Partners LLC was sentenced Friday, June 5, to pay a $500,000 fine and to complete a two-year term of probation for the company’s illegal handling of regulated asbestos-containing material (RACM) at a site in Saginaw.
Pennsylvania man gets 2 life sentences for 2024 Maryland shooting targeting business partner
A Pennsylvania man was ordered to serve two life sentences, one without the possibility of parole, for a 2024 shooting in Carroll County, Maryland, that targeted his business partner, according to the Carroll County State's Attorney's Office.
Man sentenced in 2023 death of Glenwood South business owner David Millette
One of the victim's family members called the sentence a "gross inadequacy."
Tunisian court sentences Ennahdha leader Rached Ghannouchi to life in prison
Opposition leader and dozens of other defendants handed lengthy prison terms for 'forming a terrorist alliance'.
How Science Works
The 2nd Weather and Climate Livestream is now underway. It is organized by a group of early-career researchers concerned about declining funding for the field and eager to demonstrate how weather and climate research makes a difference in our lives. Last year’s event was a great success, drawing terrific press coverage including a piece in the NY Times. This year features a strong lineup of talks aimed at a general audience — I highly recommend tuning in. Share I gave a talk yesterday about How Science Works in Three Steps. You can see the short presentation here (I’ve appended a transcript below): And please tune into the livestream here. It runs through tomorrow at 6 pm ET. Thanks for reading The Climate Brink! Subscribe for free to receive new posts and support our work. Subscribe Cleaned up transcript: Thank you, and thanks to everyone tuning in. I want to talk about something I think a lot of people don’t really understand: how science actually works. Arguments over any scientific topic — climate change, vaccines, you name it — revolve around competing claims. For climate change, the claims are: Is the Earth warming? Are humans to blame? What will the impacts be? Over the last 150 years, the scientific community has developed a remarkably robust method for sorting out which claims are true and which aren’t. That method is what I want to walk through. So how does science generate knowledge? If you ask a high schooler, they’ll give you the version they learned in ninth grade: an individual scientist forms a hypothesis, runs an experiment, and draws a conclusion. That’s more or less what happens at the individual level, though in practice it’s more iterative — you design, test, and refine all at once, landing on a slightly different idea each time until you reach a conclusion about whatever hypothesis you’ve ended up with. But this isn’t science. It’s only step one. Any individual scientist can make mistakes — scientists are human. Maybe there’s a bug in the code, maybe there’s an error in the experiment. Just because someone ran an experiment and reached a conclusion doesn’t mean it’s right, and scientists don’t treat a single result as settled truth. Step two is peer review, the first layer of quality control. The scientist writes up what they did and submits it to a journal, which sends the paper to other experts in the field. Those experts judge whether the methods are sound, whether it properly references prior work, and whether the conclusions actually follow from the data. Ask any scientist and they’ll tell you peer review is miserable — the comments come back brutal, often harsh, and you have to revise and resubmit, sometimes multiple times, before an editor finally accepts the paper. Peer review catches an immense amount of bad science, but it can’t catch all of it. Reviewers get sloppy or overworked, they miss obvious mistakes, and they can’t catch hidden errors — a bug in the code, a misread instrument. So a peer-reviewed paper making it into a journal doesn’t mean the paper is right. Nobody treats a single paper as the final word. That’s where step three comes in: the crucible of science. Important results get retested by the broader community. If you publish something interesting, it gets dissected. Sometimes people try to reproduce your work directly but more often they test its implications. If someone claims X is true, and that implies that Y is also true, then scientists will go check Y. If a claim survives this gauntlet long enough, it becomes accepted. That’s how we generate knowledge. Let me give an example: the ozone hole. In 1985 — and I doubt many people watching were around then, but I remember it well — Joe Farman and his colleagues published observations from Antarctica showing that a huge chunk of ozone was disappearing every year. This was shocking because most atmospheric chemists had expected ozone loss to occur at mid-latitudes and high altitudes, not over the South Pole. When scientists see something they don’t understand, they rush to explain it, and several competing hypotheses quickly appeared in the peer-reviewed literature. One pointed to chlorine chemistry from chlorofluorocarbons. A second blamed nitrogen chemistry, possibly driven by solar proton events — meaning the sun was responsible. A third argued it wasn’t chemistry at all but dynamics: winds were carrying naturally low-ozone air from the lower atmosphere up into the stratosphere. Then the community went to work testing which theory could survive the crucible. Aircraft flew into the ozone hole and found no nitrogen, ruling out the nitrogen theory. Measurements showed the air in the polar vortex was descending, not rising — which would bring high-ozone air down, eliminating the dynamics theory. Meanwhile, those same flights measured enormous amounts of chlorine, strongly correlated with exactly the regions where ozone was being destroyed. That became known as the “smoking gun” paper, and it established that chlorine chemistry was the cause. Through this process, a consensus emerged. And it’s worth being clear that this consensus is organic. There’s no vote, no poll, no meeting where it gets decided. Scientists go to conferences, talk to one another, and independently arrived at the same answer. It’s the ultimate free market of ideas. After the consensus was established, the peer-reviewed literature doesn’t even mention the rival theories — it simply takes chlorine chemistry as given. That’s what a consensus looks like. It doesn’t mean every single scientist agrees, but it does mean there’s no longer any legitimate debate. So where can you see what scientists actually think? It’s all in the peer-reviewed literature, which contains the entire historical record of the argument: the discovery, the competing theories, the debate, the testing, and finally the community coalescing around one answer. But there’s a lot of room for misrepresentation. You can dig up an old paper claiming the ozone hole was caused by dynamics and wave it around as if there still was a debate about the cause of the ozone hole — without mentioning that the idea was disproven long ago and that even its own authors no longer believe it. There’s a bigger problem, though: the peer-reviewed literature is written in a language I call “nerd.” It’s extremely hard to read — honestly, some of it is hard for me to follow. It takes graduate students years to work through the literature in a single field, so we can’t expect policymakers or ordinary people to do it. This is where scientific assessments come in. The most famous is the IPCC — the Intergovernmental Panel on Climate Change. The job of an assessment is to read and summarize the peer-reviewed literature, synthesizing what’s settled, what’s been disproven, and what remains genuinely debated. To ensure the assessments accurately summarize the peer-reviewed literature, assessments are written by large teams, which are far less prone to bias than individuals and which dilute the influence of any one scientist with an axe to grind. The teams are deliberately assembled to avoid stacking the deck, and the reports themselves go through multiple rounds of peer review. That rigorous process is exactly why you can trust them and why people consider the IPCC to be the gold standard of what we know about the climate system. An assessment produced through a different process may well not be credible. You can even watch the consensus evolve across assessments. Take the attribution of warming. The 1990 IPCC report said the observed warming was broadly consistent with model predictions but also comparable to natural variability — in other words, we don’t know whether humans are responsible. By 1995, it concluded that the balance of evidence suggested a discernible human influence — a sentence only a committee could write, and one that barely commits to anything. By 2001, most of the warming over the previous 50 years was judged “likely” due to greenhouse gases; by 2007, “very likely”; by 2013, “extremely likely.” The 2023 report says essentially the same as 2013 — there’s not much stronger language available. So, to wrap up: science is our ultimate tool for deciphering the universe — the most successful method we’ve ever developed for determining what’s true and what isn’t. Our understanding is written into the peer-reviewed literature, so if you want to know what scientists think, that’s where to look. And for those of us who don’t speak nerd, scientific assessments are the Rosetta Stone — they translate nerd into English. Let me open the floor to questions. Thank you.
Colorado Democrats slam Tina Peters’ release, while Republicans cheer
Tina Peters, the former Colorado county clerk convicted of breaching her county’s secure voting equipment, drew cheers from fellow Republicans upon her release from prison Monday after Democratic Gov. Jared Polis commuted her sentence. Other state Democrats, however, said remarks the 70-year-old Peters made in an online interview after leaving prison demonstrate that she lacks […]
Colorado elections clerk released from prison after governor commutes sentence
Gov. Jared Polis commuted her sentence last month after pressure from President Donald Trump
Colorado elections clerk set to be released from prison Monday based on her sentence commutation
Former Colorado elections clerk and conspiracy theorist Tina Peters is set to be released from prison
Colorado elections clerk set to be released from prison Monday based on her sentence commutation
Former Colorado elections clerk and conspiracy theorist Tina Peters is set to be released from prison.
Watch: Sturgeon tells BBC's Laura Kuenssberg: 'I will not apologise for crimes of my former husband'
The former first minister of Scotland says she feels she is "serving a sentence for a crime I did not commit".
Texas man sentenced in $2.6M fraud scheme that targeted Fort Wayne business
On Wednesday, Texas-based Khalid Ahamad, 55, was sentenced to 70 months, or just under six years, in prison after pleading guilty to conspiracy to commit wire fraud.
Pam Bondi will face a closed-door questioning from House lawmakers over the Epstein files
The transcribed Bondi interview will give lawmakers a chance to dig for information on the Trump administration's handling of the Epstein files and other related matters, including the prison sentence of Epstein's former girlfriend and confidant, Ghislaine Maxwell.
Supreme Court rules for Mississippi death row inmate in jury bias case
By a 5-4 vote, the justices sided with Terry Pitchford, who was sentenced to death for his role in the killing of a grocery store owner
Iran: Mass arbitrary arrests and political executions mark intensifying repression
Iranian authorities are using the cover of what they call “wartime conditions” to intensify their repression of dissent through mass arbitrary arrests, accelerated grossly unfair judicial proceedings, politically motivated executions, harsh prison sentences, and asset confiscations, Amnesty International said today. Since the unlawful military attack launched by the USA and Israel against Iran on 28 […]
Matthew Perry's assistant is last to be sentenced over his ketamine death
Kenneth Iwamasa, 60, is set to be sentenced Wednesday in a Los Angeles federal courtroom
Tallahassee business owner sentenced to federal prison on multiple child sex crimes
A Tallahassee business owner will spend 30 years in prison for numerous child sex crimes, according to the U.S. Attorney’s Office.
Bari Weiss: Think For Yourself, Not By Yourself
When we launched The Free Press, the plan was simple: Tell the truth plainly, and let readers come to their own conclusions. I thought there would be a sizable enough group of people who would pay the cost of one coffee a month to read high-quality news and opinion journalism. But what happened next surprised even me. Yes, you came for the stories—for the investigations, essays, debates, interviews, podcasts, and arguments. But over the past few years, you also found one another. I’ve watched strangers become friends in the lobby before our debates. I’ve seen people trade numbers after live recordings of Honestly, launch businesses after Free Press dinners, fall in love after our meetups—even get married (!?), and say some version of the same sentence over and over again: I thought I was the only one. We live in the most connected age in history, and yet, millions of people feel isolated, alienated, politically homeless, and starved for real conversation. We have followers and no neighbors. Algorithms instead of interlocutors. Our social media feeds are like troughs, but what we really need is a table to gather around. The Free Press is a publication, yes, but it is also a gathering place for independent minds. So today, I’m thrilled to share our new investment in you. We are launching a new world of community experiences for our paid subscribers, designed to bring _Free Press_ers together online and in real life. Introducing Our Community Launch The Free Press Forum Our new digital home for paid subscribers, the Forum, is now live. This is where _Free Press_ers can meet, debate, recommend, organize, joke, argue, and converse like civilized people. Imagine that. This is not social media as you know it. No bots. No algorithmic rage bait. No performative nonsense. Just smart people talking to one another. Inside the Forum, you’ll find conversations on the things our readers already care about most: the issues of the day, recommendations (books, music, travel), work and networking, parenting, dating, and where to find your people—online and in real life. Jump in! Introduce yourself and join the first conversations in the Free Press Forum here. You’ll also find announcements from us (paid subscribers are first to hear!) and our writers, hosting regular Ask Me Anythings (AMAs)—live conversations where subscribers can ask questions, push back, and continue the discussion beyond the page. This Thursday, subscribers can chat with our brilliant reporter, culture vulture, and co-founder Suzy Weiss. Friday, I’ll be lending you Nellie Bowles, queen of TGIF, to answer subscriber questions live. Read more about The Forum directly from Nellie here. The Free Press Supper Club The best part of being a _Free Press_er is meeting other _Free Press_ers. So we’re inviting you all to dinner to do just that. It’s part salon, part blind date, part old-fashioned dinner party. Here’s how it works: You answer a short questionnaire. We match you with a small group of _Free Press_ers in your city. We send you to a great restaurant. You show up for supper. The rest is up to you. Your next best friend, co-founder, or future spouse may already be waiting at the table. Learn more and sign up here for our first Supper Club in 12 cities in three countries taking place on June 18. Don’t see your city? Raise your hand if you’d like a Free Press Supper Club near you. Yes, St. Louis—we hear you. The Free Press Retreats and Excursions We’re also building something new for 2027: immersive experiences for Free Press readers who want to continue the conversation trailside, poolside, or around a fire long after dessert. The Free Press Retreat will be an intimate long weekend built around big ideas, outdoor adventure, great meals, and the kinds of discussions that happen when curious people spend meaningful time together. Bring your spouse, your parents, your children—or come on your own. Free Press Excursions will take us farther afield: curated trips with Free Press writers and contributors exploring places that help explain the world we live in, from the battlefields of Gettysburg and Normandy to the Vatican in Rome. We’ll share more details this summer. If you’d like an early look when these experiences open for registration, show your interest here.**A Note to Our Subscribers** These new offerings exist because of our paying subscribers. If you’re already one: Thank you. You built this. And you keep us going. If you’ve been reading us for free and wondering whether to join, this is a very good time. For a short while only, we’re offering a rare 20 percent discount for you to join our community as a paid subscriber. You’ll unlock everything we publish, plus exclusive access to our members-only Forum, Supper Clubs, and more insider perks. Thinking for yourself shouldn’t mean thinking by yourself. See you there. —Bari
New breed of political prisoner arises in Britain as anti-protest sentences rise
More people are being jailed in England and Wales as a result of acting to prevent climate breakdown and the war in Gaza, research reveals
Ex-assistant who injected Matthew Perry with ketamine faces prison term
Ex-assistant Kenneth Iwamasa, who injected Matthew Perry with fatal ketamine doses, will be sentenced; family calls him most to blame.
A mistaken commutation and an over-the-top reaction
It seemed an itch that Gov. Jared Polis just had to scratch. After months of hints and speculation, Polis put his signature on a commutation of the prison sentence of Colorado’s election-denying queen, former Mesa County Clerk Tina Peters. True, Peters’s break was one of 44 commutations and pardons announced en masse by Polis late […]
Eastern Iowa woman sentenced for stealing more than $500K from veteran-owned business
A Springville woman was sentenced Thursday to more than three years in federal prison for stealing more than $500,000 from a veteran-owned small business in Marion.
Jacksonville man sentenced to prison after not paying $3.7 million in business taxes
Introducing Shortcuts Playground: Create Apple Shortcuts with Claude Code or Codex
Today, I’m pleased to introduce something I’ve been working on for the past six months: Shortcuts Playground, a plugin for Claude Code and Codex that can create any shortcut for Apple’s Shortcuts app using natural language. With Shortcuts Playground, you can simply prompt Claude Code or Codex with a sentence requesting a shortcut of any
Colorado Democrats formally censure Gov Polis over Tina Peters commutation
Colorado Democratic Party formally censures Gov. Jared Polis for commuting Tina Peters' sentence in the Mesa County voting system breach case.
Colorado Governor Censured for Commuting Sentence of Election Denier
The Colorado State Democratic Party, reflecting the anger of rank-and-file Democratic voters, rebuked Gov. Jared Polis on Wednesday over his decision to release Tina Peters from prison.
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
How a Jared Polis Came to Release Election Denier Tina Peters from Prison
Gov. Jared Polis’s decision to commute the sentence of Tina Peters came after months of tense discussions, including one with President Trump.
Q-Mart business owner avoids jail for conduct with underage employees
The owner of Poppy's Peanuts in the Quakertown Farmers Market was sentenced to probation for inappropriate conduct toward teen employees.
Colorado governor commutes election denier Tina Peters' sentence after Trump pressure
Colorado's Democratic Gov. Jared Polis is commuting the sentence of Tina Peters, an election conspiracy theorist and former county clerk, following pressure from President Trump.
Young Dolph Shooter Pleads Guilty, Concluding Rapper’s Murder Case
Cornelius Smith Jr., who previously admitted to shooting the rapper at a co-defendant's trial, sentenced to 20 years in prison
Tina Peters deserves due process, not political clemency
Anthony Coley: Commuting the election denier's prison sentence sends a message to others that it's okay to cross the line.
Colorado Gov. Polis commutes ex-election clerk Tina Peters' sentence after Trump pressure
Trump has championed the case of Peters, a 70-year-old former county clerk who was sentenced to nine years behind bars after being convicted in a scheme to make a copy of her county’s election computer system. She gets released June 1.
Thurston County auction business sentenced for illegal ivory sale
A Thurston County auction business was sentenced on Wednesday after pleading guilty in a case involving the illegal sale of a figurine carved from ivory.
Colorado Gov. Jared Polis grants clemency to Tina Peters, makes her eligible for release from prison
Colorado Gov. Jared Polis on Friday granted clemency to Tina Peters and made the former Republican county clerk eligible for release from state prison as soon as next month, capping months of speculation that the Democratic governor would shorten a nine-year sentence related to her role in a scheme to breach secure voting equipment. Polis, […]
Can Thailand’s Powerful Shinawatra Family Make a Political Comeback?
Former Thai prime minister Thaksin Shinawatra — one of Thailand’s most polarizing but enduring political figures since he became prime minister in 2001 — was jailed in September for corruption after returning to the country from years of self-imposed exile. Just eight months later, on May 11, he walked out of a Bangkok prison having served parts of a sentence reduced by royal pardon.
Drug counselor who gave Matthew Perry fatal ketamine gets 2 years in prison
A drug addiction counselor who delivered the fatal ketamine doses to Matthew Perry was sentenced to two years in prison for his role in the actor’s death.
‘Mental health is not a death sentence’: Jacksonville community group demands new crisis response plan for JSO
Jacksonville Community Action Committee rallied at City Hall, urging a mental-health-led crisis response team. JSO says it’s aware and investigations continue. Recent bridge rescue and Walmart standoff highlight stakes.
Iran releases Nobel Peace Prize winner Narges Mohammadi over health concerns
On Sunday, Mohammadi, winner of the 2023 Nobel Peace Prize, was released on bail and sent to Tehran for medical treatment after 10 days of hospitalization in Zanjan, northern Iran, where she had been serving her sentence.
New executive orders will allow prison sentences in Wisconsin to be reduced
Gov. Tony Evers is reinstating the process of commuting prison sentences.
Two Georgia men sentenced in $522M health care fraud
Two Georgia men were sentenced for their roles in a $522 million scheme involving fraudulent genetic testing claims through Medicare and Medicaid.
So long Jeeves and Ask.com, relics of yesterday’s internet
Before Claude Code, Grok and Gemini, Jeeves was there in a modest, everyman suit. We conversed with him in full sentences and asked him whole questions. No more.
Fugees rapper Pras reports to prison to begin 14-year sentence
SAFFORD, Ariz — Grammy-winning rapper Prakazrel "Pras" Michel of the Fugees has reported to federal prison to begin a 14-year sentence following a conviction over illegally funneling millions of dollars
Josh Duggar's prison sentence extended as cousin Amy claims he's in solitary confinement
Josh Duggar's prison sentence has been extended as his cousin claims the reality star — who was convicted of possessing child sexual abuse material — has been placed in solitary confinement.
'Dances With Wolves' actor Nathan Chasing Horse gets life sentence for sexual assault
Nathan Chasing Horse, best known for 'Dances With Wolves,' gets life in prison a month after he was convicted of sexually assaulting Indigenous women and girls.
Wichita man gets 11 years for church, business burglary spree
A Wichita man was sentenced on Friday for a months-long burglary spree targeting local churches and businesses.
Loophole lets convicted criminals serve as home health aides in Kansas
Kansas law allows applicants to be considered if six years have passed since the conviction and completion date of any sentence.
Eagle man sentenced for defrauding Garden City business, IRS
EAGLE (Idaho Statesman) — An Eagle man has been sentenced to 52 months in federal prison on embezzlement and tax fraud charges, according to the United States Attorney’s Office for the District of Idaho. Miles J. Elletson, 55, pleaded guilty to wire fraud and filing false tax returns, defrauding Alloway Electric, a contracting company in […]
Paul Gosar's rally appearance reignites health speculation
Arizona Congressman Paul Gosar's appearance at a Turning Point USA rally has renewed public speculation about his health, with observers citing slurred speech, unsteady posture, and difficulty completing sentences. Social media users suggested, without evidence, possible neurological conditions, echoing similar concerns raised in past years. Gosar has consistently denied such rumours, attributing symptoms to arthritis, spinal issues, and past surgeries.
Former Wisconsin man sentenced to 20 months in federal prison
Court records show U.S. District Judge James Peterson sentenced Roger Hoffman on Wednesday.
Former Wisconsin man sentenced to 20 months in federal prison for illegal campaign contributions
A federal judge has sentenced a former Wisconsin man to 20 months in prison for making campaign contributions after renouncing his U.S. citizenship | 1010 WINS
2 of 5 sentenced in local $2M health care fraud scheme
Two of five men convicted in a $2 milion health care fraud scheme in Sharon were sentenced this week in federal court.
South Africa's Malema faces political crisis after jail sentence in firearm case
Julius Malema, a polarizing figure in South African politics, faces an uncertain political future after being sentenced to five years prison on Thursday following his conviction for firing an assault rifle in public during a 2018 rally.
South African Politician Julius Malema Is Sentenced to 5 Years in Prison
The leftist lawmaker has been a prime target of President Trump’s attacks on South Africa. The ruling, handed down after a conviction on gun charges, leaves Mr. Malema’s political future in doubt.
Two Americans sentenced to prison for North Korean tech worker scheme
Two Americans have been sentenced to years in prison for their roles in a covert scheme that defrauded major US companies while generating $5 million for the North Korean regime, the Justice Department said Wednesday.
Justice Department moves to toss Jan. 6 seditious conspiracy convictions
Trump commuted the prison sentences of several Proud Boys and Oath Keepers leaders last January
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
'Ketamine Queen' to be sentenced for selling Matthew Perry drugs that killed him
Perry died at age 54 of an overdose of ketamine
'Ketamine Queen' to be sentenced for selling Matthew Perry drugs that killed him
Perry died at age 54 of an overdose of ketamine
'Ketamine Queen' to be sentenced for selling Matthew Perry the drugs that killed him
a e n prisons indictments general-news criminal-punishment courts u-s-news entertainment | Newsradio 1140 WRVA
'Ketamine Queen' to be sentenced for selling Matthew Perry the drugs that killed him
a e n prisons indictments general-news criminal-punishment courts u-s-news entertainment | KCBS All News 106.9FM and 740AM
'Ketamine Queen' to be sentenced for selling Matthew Perry the drugs that killed him
a e n prisons indictments general-news criminal-punishment courts u-s-news entertainment | KYW Newsradio