"The Adventure Jar' - A Children's Book Supporting Families Impacted by Metastatic Breast Cancer (MBC) Receives Two 2025 Bronze Anvil Awards
We're proud to share that 'The Adventure Jar,' a children's book supporting families impacted by metastatic breast cancer (MBC), has received two 2025 Bronze Anvil Awards from the Public Relations Society of America (PRSA).
Cancer steals possibility, but at Gilead, we're committed to providing resources for families with the emotional burden of MBC. Download or order a free hard copy of the book: https://www.expose-mbc.com/support-for-families
Gilead SciencesGilead Sciences, Inc. is a research-based biopharmaceutical company that discovers, develops and commercializes innovative medicines in areas of unmet medical need. The company strives to transform and simplify care for people with life-threatening illnesses around the world. Gilead has operations in more than 35 countries worldwide, with headquarters in Foster City, California.
Originally published by Gilead Sciences
Visit 3BL Media to see more multimedia and stories from Gilead Sciences
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
CNN
10 minutes ago
- CNN
Estimated 2,000 gallons of diesel fuel spill into Baltimore's Inner Harbor, officials say
FacebookTweetLink Follow Emergency crews from a host of government agencies were working through the night to clean up an estimated 2,000-gallon diesel spill along part of Baltimore's waterfront that started on Wednesday. The spill originated at a Johns Hopkins Hospital facility in East Baltimore, according to a news release from Maryland Governor Wes Moore and Baltimore Mayor Brandon M. Scott. Johns Hopkins first reported the spill around 11:00 a.m. and initially estimated it at 100 gallons. Seven hours later Hopkins updated their report to reflect a 2,000-gallon uncontained spill. The fuel contains a red dye and has stained a section of the water roughly 100 by 250 yards near the South Central Avenue Bridge, the release said. 'The water is red due to dye in the diesel fuel. There is no impact to drinking water in the area,' the release from the governor and the mayor said. Moore said on social media that he was at the scene of the spill near Fells Point, a historic waterfront in Baltimore and a popular tourist destination. The US Coast Guard is leading the clean-up effort, which involves nearly a dozen state and city agencies. The Coast Guard is working with crews using oil absorbent materials and skimmers to remove fuel from the water. 'Containment and cleanup efforts will continue through the night,' officials said. CNN has reached out to John Hopkins and the Coast Guard for further details about the status and scope of the spill.
Forbes
19 minutes ago
- Forbes
Future Forecasting The Yearly Path That Will Advance AI To Reach AGI By 2040
Future forecasting the yearly path of advancing todays to AGI by 2040. In today's column, I am continuing my special series on the likely pathways that will get us from conventional AI to the avidly sought attainment of AGI (artificial general intelligence). AGI would be a type of AI that is fully on par with human intellect in all respects. I've previously outlined seven major paths that seem to be the most probable routes of advancing AI to reach AGI (see the link here). Here, I undertake an analytically speculative deep dive into one of those paths, namely I explore the year-by-year aspects of the considered most-expected route, the linear path. Other upcoming postings will cover each of the other remaining paths. The linear path consists of AI being advanced incrementally, one step at a time until we arrive at AGI. Let's talk about it. This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here). First, some fundamentals are required to set the stage for this weighty discussion. There is a great deal of research going on to further advance AI. The general goal is to either reach artificial general intelligence (AGI) or maybe even the outstretched possibility of achieving artificial superintelligence (ASI). AGI is AI that is considered on par with human intellect and can seemingly match our intelligence. ASI is AI that has gone beyond human intellect and would be superior in many if not all feasible ways. The idea is that ASI would be able to run circles around humans by outthinking us at every turn. For more details on the nature of conventional AI versus AGI and ASI, see my analysis at the link here. We have not yet attained AGI. In fact, it is unknown as to whether we will reach AGI, or that maybe AGI will be achievable in decades or perhaps centuries from now. The AGI attainment dates that are floating around are wildly varying and wildly unsubstantiated by any credible evidence or ironclad logic. ASI is even more beyond the pale when it comes to where we are currently with conventional AI. Right now, efforts to forecast when AGI is going to be attained consist principally of two paths. First, there are highly vocal AI luminaires making individualized brazen predictions. Their headiness makes outsized media headlines. Those prophecies seem to be coalescing toward the year 2030 as a targeted date for AGI. A somewhat quieter path is the advent of periodic surveys or polls of AI experts. This wisdom of the crowd approach is a form of scientific consensus. As I discuss at the link here, the latest polls seem to suggest that AI experts generally believe that we will reach AGI by the year 2040. Should you be swayed by the AI luminaries or more so by the AI experts and their scientific consensus? Historically, the use of scientific consensus as a method of understanding scientific postures has been relatively popular and construed as the standard way of doing things. If you rely on an individual scientist, they might have their own quirky view of the matter. The beauty of consensus is that a majority or more of those in a given realm are putting their collective weight behind whatever position is being espoused. The old adage is that two heads are better than one. In the case of scientific consensus, it might be dozens, hundreds, or thousands of heads that are better than one. For this discussion on the various pathways to AGI, I am going to proceed with the year 2040 as the consensus anticipated target date. Besides the scientific consensus of AI experts, another newer and more expansive approach to gauging when AGI will be achieved is known as AGI convergence-of-evidence or AGI consilience, which I discuss at the link here. As mentioned, in a previous posting I identified seven major pathways that AI is going to advance to become AGI (see the link here). The most often presumed path is the incremental progression trail. The AI industry tends to refer to this as the linear path. It is essentially slow and steady. Each of the other remaining major routes involves various twists and turns. Here's my list of all seven major pathways getting us from contemporary AI to the treasured AGI: You can apply those seven possible pathways to whatever AGI timeline that you want to come up with. Let's undertake a handy divide-and-conquer approach to identify what must presumably happen on a year-by-year basis to get from current AI to AGI. Here's how that goes. We are living in 2025 and somehow are supposed to arrive at AGI by the year 2040. That's essentially 15 years of elapsed time. In the particular case of the linear path, the key assumption is that AI is advancing in a stepwise fashion each year. There aren't any sudden breakthroughs or miracles that perchance arise. It is steady work and requires earnestly keeping our nose to the grind and getting the job done in those fifteen years ahead. The idea is to map out the next fifteen years and speculate what will happen with AI in each respective year. This can be done in a forward-looking mode and also a backward-looking mode. The forward-looking entails thinking about the progress of AI on a year-by-year basis, starting now and culminating in arriving at AGI in 2040. The backward-looking mode involves starting with 2040 as the deadline for AGI and then working back from that achievement on a year-by-year basis to arrive at the year 2025 (matching AI presently). This combination of forward and backward envisioning is a typical hallmark of futurecasting. Is this kind of a forecast of the future ironclad? Nope. If anyone could precisely lay out the next fifteen years of what will happen in AI, they probably would be as clairvoyant as Warren Buffett when it comes to predicting the stock market. Such a person could easily be awarded a Nobel Prize and ought to be one of the richest people ever. All in all, this strawman that I show here is primarily meant to get the juices flowing on how we can be future forecasting the state of AI. It is a conjecture. It is speculative. But at least it has a reasonable basis and is not entirely arbitrary or totally artificial. I went ahead and used the fifteen years of reaching AGI in 2040 as an illustrative example. It could be that 2050 is the date for AGI instead, and thus this journey will play out over 25 years. The timeline and mapping would then have 25 years to deal with rather than fifteen. If 2030 is going to be the AGI arrival year, the pathway would need to be markedly compressed. I opted to identify AI technological advancements for each of the years and added some brief thoughts on the societal implications too. Here's why. AI ethics and AI law are bound to become increasingly vital and will to some degree foster AI advances and in other ways possibly dampen some AI advances, see my in-depth coverage of such tensions at the link here. Here then is a strawman futures forecast year-by-year roadmap from 2025 to 2040 of a linear path getting us to AGI: Year 2025: AI multi-modal models finally become robust and fully integrated into LLMs. Significant improvements in AI real-time reasoning, sensorimotor integration, and grounded language understanding occur. The use of AI in professional domains such as law, medicine, and the like rachet up. Regulatory frameworks remain sporadic and generally unadopted. Year 2026: Agentic AI starts to blossom and become practical and widespread. AI systems with memory and planning capabilities achieve competence in open-ended tasks in simulation environments. Public interest in governing AI increases. Year 2027: The use of AI large-scale world models spurs substantially improved AI capabilities. AI can now computationally improve from fewer examples via advancements in AI meta-learning. Some of these advances allow AI to be employed in white-collar jobs that have a mild displacement economically, but only to a minor degree. Year 2028: AI agents have gained wide acceptance and are capable of executing multi-step tasks semi-autonomously in digital and physical domains, including robotics. AI becomes a key element as taught in schools and as used in education, co-teaching jointly with human teachers. Year 2029: AI is advanced sufficiently to have a generalized understanding of physical causality and real-world constraints through embodied learning. Concerns about AI as a job displacer reach heightened attention. Year 2030: Self-improving AI systems begin modifying their own code under controlled conditions, improving efficiency without human input. This is an important underpinning. Some claim that AGI is now just a year or two away, but this is premature, and ten more years will first take place. Year 2031: Hybrid AI consisting of integrated cognitive architectures unifying symbolic reasoning, neural networks, and probabilistic models has become the new accepted approach to AI. Infighting among AI developers as to whether hybrid AI was the way to go has now evaporated. AI-based tutors fully surpass human teachers in personalization and subject mastery, putting human teachers at great job risk. Year 2032: AI agents achieve human-level performance across most cognitive benchmarks, including abstraction, theory of mind (ToM), and cross-domain learning. This immensely exceeds prior versions of AI that did well on those metrics but not nearly to this degree. Industries begin to radically restructure and rethink their businesses with an AI-first mindset. Year 2033: AI scalability alignment protocols improve in terms of human-AI values alignment. This opens the door to faster adoption of AI due to a belief that AI safety is getting stronger. Trust in AI grows. But so is societal dependence on AI. Year 2034: AI interaction appears to be indistinguishable from human-to-human interaction, even as tested by those who are versed in tricking AI into revealing itself. The role of non-human intelligence and how AI stretches our understanding of philosophy, religion, and human psychology has become a high priority. Year 2035: AI systems exhibit bona fide signs of self-reflection, not just routinized mimicry or parroting. Advances occur in having AI computationally learn from failure across domains and optimizing for long-term utility functions. Debates over some form of UBI (universal basic income) lead to various trials of the approach to aid human labor displacements due to AI. Year 2036: AI advancement has led to fluid generalization across a wide swath of domains. Heated arguments take place about whether AGI is emerging, some say it is, and others insist that a scaling wall is about to be hit and that this is the best that AI will be. Nations begin to covet their AI and set up barriers to prevent other nations from stealing or copying the early AGI systems. Year 2037: Advances in AI showcase human-like situational adaptability and innovation. New inventions and scientific discoveries are being led by AI. Questions arise about whether this pre-AGI has sufficient moral reasoning and human goal alignment. Year 2038: AI systems now embody persistent identities, seemingly able to reflect on experiences across time. Experts believe we are on the cusp of AI reaching cognitive coherence akin to humans. Worldwide discourse on the legal personhood and rights of AI intensifies. Year 2039: Some of the last barriers to acceptance of AI as nearing AGI are overcome when AI demonstrates creativity, emotional nuance, and abstract reasoning in diverse contexts. This was one of the last straws on the camel's back. Existential risks and utopian visions fully dominate public apprehensions. Year 2040: General agreement occurs that AGI has now been attained, though it is still early days of AGI and some are not yet convinced that AGI is truly achieved. Society enters a transitional phase: post-scarcity economics, redefinition of human purpose, and consideration of co-evolution with AGI. Mull over the strawman timeline and consider where you will be and what you will be doing during each of those fifteen years. One viewpoint is that we are all along for the ride and there isn't much that anyone can individually do. I don't agree with that sentiment. Any of us can make a difference in how AI plays out and what the trajectory and impact of reaching AGI is going to be. As per the famous words of Abraham Lincoln: 'The most reliable way to predict the future is to create it.'
Associated Press
22 minutes ago
- Associated Press
California's Yurok Tribe gets back ancestral lands that were taken over 120 years ago
ON THE KLAMATH RIVER, Calif. (AP) — As a youngster, Barry McCovey Jr. would sneak through metal gates and hide from security guards just to catch a steelhead trout in Blue Creek amid northwestern California redwoods. Since time immemorial, his ancestors from the Yurok Tribe had fished, hunted and gathered in this watershed flanked by coastal forests. But for more than 100 years, these lands were owned and managed by timber companies, severing the tribe's access to its homelands. When McCovey started working as a fisheries technician, the company would let him go there to do his job. 'Snorkeling Blue Creek ... I felt the significance of that place to myself and to our people, and I knew then that we had to do whatever we could to try and get that back,' McCovey said. After a 23-year effort and $56 million, that became reality. Roughly 73 square miles (189 square kilometers) of homelands have been returned to the Yurok, more than doubling the tribe's land holdings, according to a deal announced Thursday. Completion of the land-back conservation deal along the lower Klamath River — a partnership with Western Rivers Conservancy and other environmental groups — is being called the largest in California history. The Yurok Tribe had 90% of its territory taken during the California Gold Rush in the mid-1800s, suffering massacres and disease from settlers. 'To go from when I was a kid and 20 years ago even, from being afraid to go out there to having it be back in tribal hands … is incredible,' said McCovey, director of the Yurok Tribal Fisheries Department. ___ EDITOR'S NOTE: This is part of a series of on how tribes and Indigenous communities are coping with and combating climate change. ___ Land Back is a global movement seeking the return of homelands to Indigenous people through ownership or co-stewardship. In the last decade, nearly 4,700 square miles (12,173 square kilometers) were returned to tribes in 15 states through a federal program. Organizations are aiding similar efforts. There's mounting recognition that Indigenous people's traditional knowledge is critical to addressing climate change. Studies found the healthiest, most biodiverse and resilient forests are on protected native lands where Indigenous people remained stewards. Beth Rose Middleton Manning, a University of California, Davis professor of Native American Studies, said Indigenous people's perspective — living in relation with the lands, waterways and wildlife — is becoming widely recognized, and is a stark contrast to Western views. 'Management of a forest to grow conifers for sale is very different from thinking about the ecosystem and the different plants and animals and people as part of it and how we all play a role,' she said. The Yurok people will now manage these lands and waterways. The tribe's plans include reintroducing fire as a forest management tool, clearing lands for prairie restoration, removing invasive species and planting trees while providing work for some of the tribe's more than 5,000 members and helping restore salmon and wildlife. Protecting a salmon sanctuary One fall morning in heavy fog, a motorboat roared down the turbid Klamath toward Blue Creek — the crown jewel of these lands — past towering redwoods, and cottonwoods, willows, alders. Suddenly, gray gave way to blue sky, where an osprey and bald eagle soared. Along a bank, a black bear scrambled over rocks. The place is home to imperiled marbled murrelets, northern spotted owls and Humboldt martens, as well as elk, deer and mountain lions. The Klamath River basin supports fish — steelhead, coho and Chinook salmon — that live in both fresh and saltwater. The Klamath was once the West Coast's third largest salmon-producing river and the life force of Indigenous people. But the state's salmon stock has plummeted so dramatically — in part from dams and diversions — that fishing was banned for the third consecutive year. 'We can't have commercial fishing because populations are so low,' said Tiana Williams-Claussen, director of the Yurok Tribe Wildlife Department. 'Our people would use the revenue to feed their families; now there's less than one salmon per Yurok Tribe member.' Experts say restoring Blue Creek complements the successful, decades-long fight by tribes to remove the Klamath dams — the largest dam removal in U.S. history. This watershed is a cold-water lifeline in the lower Klamath for spawning salmon and steelhead that stop to cool down before swimming upstream. That's key amid climate-infused droughts and warming waters. 'For the major river to have its most critical and cold-water tributary … just doing its job is critical to the entire ecosystem,' said Sue Doroff, co-founder and former president of Western Rivers Conservancy. Altered lands, waterways For more than 100 years, these lands were owned and managed for industrial timber. Patchworks of 15 to 20 acres (6.07 to 8.09 hectares) at a time of redwoods and Douglas firs have been clear cut to produce and sell logs domestically, according to Galen Schuler, a vice president at Green Diamond Resource Company, the previous land owner. Schuler said the forests have been sustainably managed, with no more than 2% cut annually, and that old growth is spared. He said they are 'maybe on the third round' of clear cutting since the 1850s. But clear cutting creates sediment that winds up in streams, making them shallower, more prone to warming and worsening water quality, according to Josh Kling, conservation director for the conservancy. Sediment, including from roads, can also smother salmon eggs and kill small fish. Culverts, common on Western logging roads, have also been an issue here. Most 'were undersized relative to what a fish needs for passage,' Kling said. Land management decisions for commercial timber have also created some dense forests of small trees, making them wildfire prone and water thirsty, according to Williams-Claussen. 'I know a lot of people would look at the forested hillsides around here and be like, 'It's beautiful, it's forested.' But see that old growth on the hill, like way up there?' asked Sarah Beesley, fisheries biologist for the Yurok Tribe, sitting on a rock in Blue Creek. 'There's like one or two of those.' Fire bans, invasive plants and encroachment of unmanaged native species have contributed to loss of prairies, historically home to abundant elk and deer herds and where the Yurok gathered plants for cultural and medicinal uses. Western Rivers Conservancy bought and conveyed land to the tribe in phases. The $56 million for the conservation deal came from private capital, low interest loans, tax credits, public grants and carbon credit sales that will continue to support restoration. Restoration plans The tribe aims to restore historic prairies by removing invasive species and encroaching native vegetation. The prairies are important food sources for elk and the mardon skipper butterfly, said Kling from the conservancy. Trees removed from prairies will be used as logjams for creeks to create habitat for frogs, fish and turtles. The tribe will reintroduce fire to aid in prairie restoration and reestablish forest diversity and mature forests to help imperiled species bounce back. Members know its going to take decades of work for these lands and waterways to heal. 'And maybe all that's not going to be done in my lifetime,' said McCovey, the fisheries director. 'But that's fine, because I'm not doing doing this for myself.' ___ The Associated Press receives support from the Walton Family Foundation for coverage of water and environmental policy. The AP is solely responsible for all content. For all of AP's environmental coverage, visit
