If you have used Google lately and been lucky – or unlucky – enough to encounter an answer to your query rather than a bunch of links, you have been subjected to something called AI Overviews. This is a new core feature that Google has been rolling out, a move widely anticipated since the company’s experiments with its LaMDA large language model in 2021, and since OpenAI’s ChatGPT artificial intelligence chatbot rocketed to prominence in 2023.
This feature is yet another addition to the increasing number of add-ons and tools being integrated into search engines like Google. Some of the notable examples include knowledge graph-driven knowledge panels, which are used to populate relevant factual information in an infobox next to search results, and featured snippets, which are blurbs excerpted from a search result and provided before the link to that page.
But what’s different about AI Overviews is that they are not simply extracted from relevant sources but generated behind the scenes by Google’s generative AI technology. The company’s goal is to give you a personalized, on-demand answer instead of a standard set of documents or even an answer box matching your query.
This seems almost magical and potentially useful in many situations. After all, people use search engines primarily to find answers and not lists of documents. But there’s more to the picture.
My colleague Emily Bender and I have written about what search engine users need, want and have. We have shown that they want not only information but also the ability to discover, learn and question what they find. In other words, users have a wide range of situations and objectives, and compressing them down to a set of links or, worse, a single answer is problematic.
Bad advice
These AI features vacuum up information from the internet and other available sources and spit out an answer based on how they are trained to associate words. A core argument against them is that they mostly remove from the equation the user’s judgment, agency and opportunity to learn.
This may be OK for many searches. Want a description of how inflation has affected grocery prices in the past five years, or a summary of what the European Union AI Act includes? AI Overviews can be a good way to cut through a lot of documents and extract those specific answers.
But people’s searching needs don’t end with factual information. They look for ideas, opinions and advice. Looking for suggestions about how to keep the cheese from sliding off your pizza? Google will tell you that you should add some glue to the sauce. Or wondering if running with scissors has any health benefits? Sure, Google will say, “it can also improve your pores and give you strength”.
While a reasonable user can understand that such outrageous answers are likely to be wrong, it’s hard to detect that for factual questions.
For example, while researching the faith of U.S. presidents, Google’s AI Overviews gave the incorrect answer that Barack Obama is a Muslim. This misinformation was widely circulated and debunked years ago, but Google regurgitated it with no good way for users to learn that it is misinformation.
What about a student using Google for homework and asking which countries in Africa start with the letter K? While Kenya does meet this criteria, Google’s AI Overviews incorrectly answered that there are no such countries.
Google has acknowledged issues with AI Overviews and said it has addressed them. But the concern remains: Can you really trust any answers you receive through this service?
How to avoid AI answers
There are alternatives. You can always go back to the traditional Google search with its 10 blue links. Click on “More” in the menu – All, News, Images, Maps, Videos and More – directly below the search field at the top of the Google search page and select “Web.”
AI Overviews is like fast food that gets delivered through a drive-through window – it’s quick, hot and convenient, but not the healthiest choice. Going through Google’s traditional search results is like examining a menu in a sit-down restaurant and placing an order that will take awhile to make it to your table. You can ask your server questions about those items and even request some changes to the restaurant’s offerings. It’s prepared with more care, customization and control, but also takes longer and may cost more.
These aren’t the only methods of finding information, however. There are alternatives to Google’s search engine, including specialty search tools.
Concerned about privacy? Check out DuckDuckGo, Startpage and Swisscows. If you still want AI-generated answers, some of the alternatives to Google’s AI Overviews and rival Bing’s Copilot are You.com and Komo, which provide more transparency about the data they collect about you, provide greater privacy and also offer ways to opt out of having your data collected for training their AI models.
A balanced information diet
Perhaps you can’t afford to eat out at a nice restaurant or prepare every meal from scratch every time, but it’s important to avoid ending up going through a drive-through for all your nourishment. After all, you are what you eat, and in a similar vein, you are how you search.
It’s easy to fall for sensational headlines and bite-size news that lack context. But you don’t have to let that define you. You can expand the scope of how you search. It’s OK to hit the drive-through every now and then and go for AI Overviews, but it’s important to also find other more wholesome ways to fulfill your needs – for food and for information.
The 67 million Americans eligible for Medicare make an important decision every October: Should they make changes in their Medicare health insurance plans for the next calendar year?
The decision is complicated. Medicare has an enormous variety of coverage options, with large and varying implications for people’s health and finances, both as beneficiaries and taxpayers. And the decision is consequential – some choices lock beneficiaries out of traditional Medicare.
Beneficiaries choose an insurance plan when they turn 65 or become eligible based on qualifying chronic conditions or disabilities. After the initial sign-up, most beneficiaries can make changes only during the open enrollment period each fall.
The 2024 open enrollment period, which runs from Oct. 15 to Dec. 7, marks an opportunity to reassess options. Given the complicated nature of Medicare and the scarcity of unbiased advisers, however, finding reliable information and understanding the options available can be challenging.
We are health carepolicy experts who study Medicare, and even we find it complicated. One of us recently helped a relative enroll in Medicare for the first time. She’s healthy, has access to health insurance through her employer and doesn’t regularly take prescription drugs. Even in this straightforward scenario, the number of choices were overwhelming.
The stakes of these choices are even higher for people managing multiple chronic conditions. There is help available for beneficiaries, but we have found that there is considerable room for improvement – especially in making help available for everyone who needs it.
The choice is complex, especially when you are signing up for the first time and if you are eligible for both Medicare and Medicaid. Insurers often engage in aggressive and sometimes deceptive advertising and outreach through brokers and agents. Choose unbiased resources to guide you through the process, like www.shiphelp.org. Make sure to start before your 65th birthday for initial sign-up, look out for yearly plan changes, and start well before the Dec. 7 deadline for any plan changes.
2 paths with many decisions
Within Medicare, beneficiaries have a choice between two very different programs. They can enroll in either traditional Medicare, which is administered by the government, or one of the Medicare Advantage plans offered by private insurance companies.
Within each program are dozens of further choices.
Traditional Medicare is a nationally uniform cost-sharing plan for medical services that allows people to choose their providers for most types of medical care, usually without prior authorization. Deductibles for 2024 are US$1,632 for hospital costs and $240 for outpatient and medical costs. Patients also have to chip in starting on Day 61 for a hospital stay and Day 21 for a skilled nursing facility stay. This percentage is known as coinsurance. After the yearly deductible, Medicare pays 80% of outpatient and medical costs, leaving the person with a 20% copayment. Traditional Medicare’s basic plan, known as Part A and Part B, also has no out-of-pocket maximum.
People enrolled in traditional Medicare can also purchase supplemental coverage from a private insurance company, known as Part D, for drugs. And they can purchase supplemental coverage, known as Medigap, to lower or eliminate their deductibles, coinsurance and copayments, cap costs for Parts A and B, and add an emergency foreign travel benefit.
The Medicare Advantage program allows private insurers to bundle everything together and offers many enrollment options. Compared with traditional Medicare, Medicare Advantage plans typically offer lower out-of-pocket costs. They often bundle supplemental coverage for hearing, vision and dental, which is not part of traditional Medicare.
Different Medicare Advantage plans have varying and large impacts on enrollee health, including dramatic differences in mortality rates. Researchers found a 16% difference per year between the best and worst Medicare Advantage plans, meaning that for every 100 people in the worst plans who die within a year, they would expect only 84 people to die within that year if all had been enrolled in the best plans instead. They also found plans that cost more had lower mortality rates, but plans that had higher federal quality ratings – known as “star ratings” – did not necessarily have lower mortality rates.
While many Medicare Advantage plans boast about their supplemental benefits , such as vision and dental coverage, it’s often difficult to understand how generous this supplemental coverage is. For instance, while most Medicare Advantage plans offer supplemental dental benefits, cost-sharing and coverage can vary. Some plans don’t cover services such as extractions and endodontics, which includes root canals. Most plans that cover these more extensive dental services require some combination of coinsurance, copayments and annual limits.
Even when information is fully available, mistakes are likely.
At 65, when most beneficiaries first enroll in Medicare, federal regulations guarantee that anyone can get Medigap coverage. During this initial sign-up, beneficiaries can’t be charged a higher premium based on their health.
Older Americans who enroll in a Medicare Advantage plan but then want to switch back to traditional Medicare after more than a year has passed lose that guarantee. This can effectively lock them out of enrolling in supplemental Medigap insurance, making the initial decision a one-way street.
For the initial sign-up, Medigap plans are “guaranteed issue,” meaning the plan must cover preexisting health conditions without a waiting period and must allow anyone to enroll, regardless of health. They also must be “community rated,” meaning that the cost of a plan can’t rise because of age or illness, although it can go up due to other factors such as inflation.
People who enroll in traditional Medicare and a supplemental Medigap plan at 65 can expect to continue paying community-rated premiums as long as they remain enrolled, regardless of what happens to their health.
In most states, however, people who switch from Medicare Advantage to traditional Medicare don’t have as many protections. Most state regulations permit plans to deny coverage, impose waiting periods or charge higher Medigap premiums based on their expected health costs. Only Connecticut, Maine, Massachusetts and New York guarantee that people can get Medigap plans after the initial sign-up period.
Deceptive advertising
Information about Medicare coverage and assistance choosing a plan is available but varies in quality and completeness. Older Americans are bombarded with ads for Medicare Advantage plans that they may not be eligible for and that include misleading statements about benefits.
A November 2022 report from the U.S. Senate Committee on Finance found deceptive and aggressive sales and marketing tactics, including mailed brochures that implied government endorsement, telemarketers who called up to 20 times a day, and salespeople who approached older adults in the grocery store to ask about their insurance coverage.
The Department of Health and Human Services tightened rules for 2024, requiring third-party marketers to include federal resources about Medicare, including the website and toll-free phone number, and limiting the number of contacts from marketers.
Although the government has the authority to review marketing materials, enforcement is partially dependent on whether complaints are filed. Complaints can be filed with the federal government’s Senior Medicare Patrol, a federally funded program that prevents and addresses unethical Medicare activities.
Nearly one-third of Medicare beneficiaries seek information from an insurance broker. Brokers sell health insurance plans from multiple companies. However, because they receive payment from plans in exchange for sales, and because they are unlikely to sell every option, a plan recommended by a broker may not meet a person’s needs.
Help is out there − but falls short
An alternative source of information is the federal government. It offers three sources of information to assist people with choosing one of these plans: 1-800-Medicare, medicare.gov and the State Health Insurance Assistance Program, also known as SHIP.
Telephone SHIP services are available nationally, but one of us and our colleagues have found that in-person SHIP services are not available in some areas. We tabulated areas by ZIP code in 27 states and found that although more than half of the locations had a SHIP site within the county, areas without a SHIP site included a larger proportion of people with low incomes.
Virtual services are an option that’s particularly useful in rural areas and for people with limited mobility or little access to transportation, but they require online access. Virtual and in-person services, where both a beneficiary and a counselor can look at the same computer screen, are especially useful for looking through complex coverage options.
As one SHIP coordinator noted, many people are not aware of all their coverage options. For instance, one beneficiary told a coordinator, “I’ve been on Medicaid and I’m aging out of Medicaid. And I don’t have a lot of money. And now I have to pay for my insurance?” As it turned out, the beneficiary was eligible for both Medicaid and Medicare because of their income, and so had to pay less than they thought.
The interviews made clear that many people are not aware that Medicare Advantage ads and insurance brokers may be biased. One counselor said, “There’s a lot of backing (beneficiaries) off the ledge, if you will, thanks to those TV commercials.”
Many SHIP staff counselors said they would benefit from additional training on coverage options, including for people who are eligible for both Medicare and Medicaid. The SHIP program relies heavily on volunteers, and there is often greater demand for services than the available volunteers can offer. Additional counselors would help meet needs for complex coverage decisions.
The key to making a good Medicare coverage decision is to use the help available and weigh your costs, access to health providers, current health and medication needs, and also consider how your health and medication needs might change as time goes on.
This article is part of an occasional series examining the U.S. Medicare system.
This story has been updated to remove a graphic that contained incorrect information about SHIP locations, and to correct the date of the open enrollment period.
This year’s award stood out because it honored research that originated at a tech company: DeepMind, an AI research startup that was acquired by Google in 2014. Most previous chemistry Nobel Prizes have gone to researchers in academia. Many laureates went on to form startup companies to further expand and commercialize their groundbreaking work – for instance, CRISPR gene-editing technology and quantum dots – but the research, from start to end, wasn’t done in the commercial sphere.
Although the Nobel Prizes in physics and chemistry are awarded separately, there is a fascinating connection between the winning research in those fields in 2024. The physics award went to two computer scientists who laid the foundations for machine learning, while the chemistry laureates were rewarded for their use of machine learning to tackle one of biology’s biggest mysteries: how proteins fold.
The 2024 Nobel Prizes underscore both the importance of this kind of artificial intelligence and how science today often crosses traditional boundaries, blending different fields to achieve groundbreaking results.
The challenge of protein folding
Proteins are the molecular machines of life. They make up a significant portion of our bodies, including muscles, enzymes, hormones, blood, hair and cartilage.
Understanding proteins’ structures is essential because their shapes determine their functions. Back in 1972, Christian Anfinsen won the Nobel Prize in chemistry for showing that the sequence of a protein’s amino acid building blocks dictates the protein’s shape, which, in turn, influences its function. If a protein folds incorrectly, it may not work properly and could lead to diseases such as Alzheimer’s, cystic fibrosis or diabetes.
A protein’s overall shape depends on the tiny interactions, the attractions and repulsions, between all the atoms in the amino acids its made of. Some want to be together, some don’t. The protein twists and folds itself into a final shape based on many thousands of these chemical interactions.
For decades, one of biology’s greatest challenges was predicting a protein’s shape based solely on its amino acid sequence. Although researchers can now predict the shape, we still don’t understand how the proteins maneuver into their specific shapes and minimize the repulsions of all the interatomic interactions in a few microseconds.
To understand how proteins work and to prevent misfolding, scientists needed a way to predict the way proteins fold, but solving this puzzle was no easy task.
It was a phenomenal jump forward, but the shape chosen for the calculation was simple, and the calculations were complex. A major paradigm shift was required to routinely design novel proteins with desired structures.
A new era of machine learning
Machine learning is a type of AI where computers learn to solve problems by analyzing vast amounts of data. It’s been used in various fields, from game-playing and speech recognition to autonomous vehicles and scientific research. The idea behind machine learning is to use hidden patterns in data to answer complex questions.
This approach made a huge leap in 2010 when Demis Hassabis co-founded DeepMind, a company aiming to combine neuroscience with AI to solve real-world problems.
Hassabis, a chess prodigy at age 4, quickly made headlines with AlphaZero, an AI that taught itself to play chess at a superhuman level. In 2017, AlphaZero thoroughly beat the world’s top computer chess program, Stockfish-8. The AI’s ability to learn from its own gameplay, rather than relying on preprogrammed strategies, marked a turning point in the AI world.
Soon after, DeepMind applied similar techniques to Go, an ancient board game known for its immense complexity. In 2016, its AI program AlphaGo defeated one of the world’s top players, Lee Sedol, in a widely watched match that stunned millions.
In 2016, Hassabis shifted DeepMind’s focus to a new challenge: the protein-folding problem. Under the leadership of John Jumper, a chemist with a background in protein science, the AlphaFold project began. The team used a large database of experimentally determined protein structures to train the AI, which allowed it to learn the principles of protein folding. The result was AlphaFold2, an AI that could predict the 3D structure of proteins from their amino acid sequences with remarkable accuracy.
This was a significant scientific breakthrough. AlphaFold has since predicted the structures of over 200 million proteins – essentially all the proteins that scientists have sequenced to date. This massive database of protein structures is now freely available, accelerating research in biology, medicine and drug development.
Designer proteins to fight disease
Understanding how proteins fold and function is crucial for designing new drugs. Enzymes, a type of protein, act as catalysts in biochemical reactions and can speed up or regulate these processes. To treat diseases such as cancer or diabetes, researchers often target specific enzymes involved in disease pathways. By predicting the shape of a protein, scientists can figure out where small molecules – potential drug candidates – might bind to it, which is the first step in designing new medicines.
In 2024, DeepMind launched AlphaFold3, an upgraded version of the AlphaFold program that not only predicts protein shapes but also identifies potential binding sites for small molecules. This advance makes it easier for researchers to design drugs that precisely target the right proteins.
For his part, David Baker has continued to make significant contributions to protein science. His team at the University of Washington developed an AI-based method called “family-wide hallucination,” which they used to design entirely new proteins from scratch. Hallucinations are new patterns – in this case, proteins – that are plausible, meaning they are a good fit with patterns in the AI’s training data. These new proteins included a light-emitting enzyme, demonstrating that machine learning can help create novel synthetic proteins. These AI tools offer new ways to design functional enzymes and other proteins that never could have evolved naturally.
AI will enable research’s next chapter
The Nobel-worthy achievements of Hassabis, Jumper and Baker show that machine learning isn’t just a tool for computer scientists – it’s now an essential part of the future of biology and medicine.
By tackling one of the toughest problems in biology, the winners of the 2024 prize have opened up new possibilities in drug discovery, personalized medicine and even our understanding of the chemistry of life itself.
In just a few years, brand-name injectable drugs such as Ozempic, Wegovy, Mounjaro and Zepbound have rocketed to fame as billion-dollar annual sellers for weight loss as well as to control blood sugar levels and reduce the risk of heart disease.
But the price of these injections is steep: They cost about US$800-$1,000 per month, and if used for weight loss alone, they are not covered by most insurance policies. Both drugs mimic the naturally occurring hormone GLP-1 to help regulate blood sugar and reduce cravings. They can be taken only with a prescription.
The Food and Drug Administration announced an official shortage of the active ingredients in these drugs in 2022, but on Oct. 2, 2024, the agency announced that the shortage has been resolved for the medicine tirzepatide, the active ingredient in Mounjaro and Zepbound.
Despite the soaring demand and limited supply of these drugs, there are no generic versions available. This is because the patents for semaglutide – the active ingredient in Ozempic and Wegovy, which is still in shortage – and tirzepatide don’t expire until 2033and 2036, respectively.
As a result, nonbrand alternatives that can be purchased with or without a prescription are flooding the market. Yet these products come with real risks to consumers.
The dietary supplement market has sought to cash in on the GLP-1 demand with pills, teas, extracts and all manner of other products that claim to produce similar effects as the brand names at a much lower price.
Unlike the dietary supplements that are masquerading as GLP-1 weight loss products, compounding pharmacies can create custom versions of products that contain the same active ingredients as the real thing for patients who cannot use either brand or generic products for some reason.
These pharmacies can also produce alternative versions of brand-name drugs when official drug shortages exist.
These products may come in versions that differ from the brand-name companies, such as vials of powder that must be dissolved in liquid, or as tablets or nasal sprays.
Just like the brand-name drugs, you must have a valid prescription to receive them. The prices range from $250-$400 a month – still a steep price for many consumers.
Compounding pharmacies must adhere to the FDA’s sterility and quality production methods, but these rules are not as rigorous for compounding pharmacies as those for commercial manufacturers of generic drugs.
In addition, the products compounding pharmacies create do not have to be tested in humans for safety or effectiveness like brand-name products do.
Proper dosing can also be challenging with compounded forms of the drugs.
Companies that work the system
For people who cannot afford a compounding pharmacy product, or cannot get a valid prescription for semaglutide or tirzepatide, opportunistic companies are stepping in to fill the void. These include “peptide companies,” manufacturers that create non-FDA approved knockoff versions of the drugs.
From November 2023 to March 2024, my team carried out a study to assess which of these peptide companies are selling semaglutide or tirzepatide products. We scoured the internet looking for these peptide companies and collected information about what they were selling and their sales practices.
We found that peptide sellers use a loophole to sell these drugs. On their websites, the companies state that their drugs are for “research purposes only” or “not for human consumption,” but they do nothing to verify that the buyers are researchers or that the product is going to a research facility.
By reading the comments sections of the company websites and the targeted ads on social media, it becomes clear that both buyers and sellers understand the charade. Unlike compounding pharmacies, these peptide sellers do not provide the supplies you need to dissolve and inject the drug, provide no instructions, and will usually not answer questions.
Peptide sellers, since they allegedly are not selling to consumers, do not require a valid prescription and will sell consumers whatever quantity of drug they wish to purchase. Even if a person has an eating disorder such as anorexia nervosa, the companies will happily sell them a semaglutide or tirzepatide product without a prescription. The average prices of these peptide products range from $181-$203 per month.
Skirting regulations
Peptide sellers do not have to adhere to the rules or regulations that drug manufacturers or compounding pharmacies do. Many companies state that their products are 99% pure, but an independent investigation of three companies’ products from August 2023 to March 2024 found that the purity of the products were far less than promised.
One product contained endotoxin – a toxic substance produced by bacteria – suggesting that it was contaminated with microbes. In addition, the products’ promised dosages were off by up 29% to 39%. Poor purity can cause patients to experience fever, chills, nausea, skin irritation, infections and low blood pressure.
In this study, some companies never even shipped the drug, telling the buyers they needed to pay an additional fee to have the product clear customs.
If a consumer is harmed by a poor-quality product, it would be difficult to sue the seller, since the products specifically say they are “not for human consumption.” Ultimately, consumers are being led to spend money on products that may never arrive, could cause an infection, might not have the correct dose, and contain no instructions on how to safely use or store the product.
Instead of its traditional injection pen products that cost more than $1,000 for a month’s supply, this product comes in vials that patients draw up and inject themselves. For patients who take 5 milligrams of Zepbound each week, the vial products would cost them $549 a month if patients buy it through the company’s online pharmacy and can show that they do not have insurance coverage for the drug.
After a grilling on Capitol Hill in September 2024, pharmaceutical company Novo Nordisk came under intense pressure to offer patients without prescription coverage a lower-priced product for its brand-name Wegovy as well.
When new pharmaceutical companies enter this market, they will have to offer patients lower prices than Eli Lilly and Novo Nordisk in order to gain market share. This is the most likely medium-term solution to drive down the costs of GLP-1 drugs and eliminate the drug shortages in the marketplace.