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The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
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Viewpoint: Unlocking Europe’s wildfire data
Europe is already investing in the science, technology and infrastructure needed to understand, prevent and fight wildfires. Copernicus provides satellite-based Earth observation and environmental information, while the European Forest Fire Information System provides information on fire danger and forest fires across Europe. Weather and climate systems add forecasts of heat, drought, wind and humidity; historical fire databases show where fires have occurred; and researchers generate increasingly detailed knowledge about fuels, fire behaviour, forecasting, modelling and risk management. Meanwhile, new European research projects are adding digital twins and other tools to this growing ecosystem.However, these data do not necessarily sit together, nor are they necessarily described, structured or governed in ways that allow them to be used together. Much of the information is public, but some is commercially held. Some is sensitive. Some is subject to legal, security or operational restrictions. Even when data can be legally accessed, different systems may use different formats, terminology and rules.Europe therefore faces an unusual paradox: we have vast amounts of relevant information to respond to the wildfire challenge, but not the means to bring it together. For example, a wildfire researcher or emergency service might need to ask whether a particular combination of vegetation, drought, wind and topography has historically been associated with rapid fire spread. The relevant information may exist in several institutions, using different systems and subject to different conditions of access.The challenge is to conduct an authorised analysis that interacts with these sources, combines the results and respects the rules imposed by each data custodian.An important part of the answer can be found in the Fair principles, the idea that data should be findable, accessible, interoperable and reusable. Developed more than a decade ago, these principles have become a central reference point for modern data stewardship, making it easier for people and machines to find data, understand what it means and determine whether it can be reused.Readability by machines is essential, since AI systems will be key to meeting the data challenge. Bring analysis to the dataThe proposition is not to give an AI system unrestricted access to sensitive databases. Quite the opposite. The goal is to make it possible for approved algorithms to go to the data, rather than requiring sensitive data or large datasets to be copied to wherever the analysis happens.Imagine an analysis asking a series of questions of different data stations. At one station it might examine weather and climate data; at another, historical fire records; at another, experimental measurements of fire behaviour. The algorithm does not need to download everything. It can operate within the environment permitted by each data custodian and return only the results that the rules allow to leave.This is sometimes described as data visiting, and related approaches already exist in areas such as federated analysis and federated learning.Sensitive data should therefore not be treated as a free-for-all for machines. This requires appropriate governance at multiple levels. Access needs to be authenticated and authorised. The purpose of an analysis should be defined. The code or model being run should be controlled. Data custodians should be able to specify what can be queried and what results can leave their environment. Activities should be auditable and human oversight should remain where the consequences require it.In other words, the objective is not to trust AI with the data. It is to design systems in which AI never has more access than it needs.As open as possible, as closed as necessaryFair data should also not be confused with open data. Some wildfire data should be openly available. Other information may legitimately need to remain restricted because it concerns critical infrastructure, security, commercial interests, privacy or operational capabilities. The principle should be: as open as possible, as closed as necessary.The important point is that restricted data should not automatically become unusable data. If machines can discover what information exists, understand its meaning, establish where it came from and determine the conditions under which it can be used, authorised analyses can potentially be carried out without the underlying data ever leaving the environment in which it is protected.Restricted data can still be Fair and machine-actionable.This is also an important question of data sovereignty. European institutions should not have to surrender control of their data to a handful of technology platforms in order to benefit from AI. Nor does Europe need to start again by building one giant repository for every piece of wildfire information. The better approach is to connect what already exists.This is the principle behind emerging approaches such as Tryangle, developed through the Leiden Initiative for Fair and Equitable Science. Rather than creating another centralised data warehouse, the approach seeks to provide an interoperable layer through which approved algorithms can visit distributed data sources while respecting the rules of their custodians.In this way, a data station can remain where it is. Its custodians can retain control. Existing databases and applications do not have to be abandoned. What changes is their ability to communicate with other systems through common, machine-readable descriptions, access rules and interoperability mechanisms.But approaches like this need data that meets the Fair principles. Only then can an interoperable ecosystem safely begin to turn fragmented information into collective intelligence.Data infrastructure is wildfire infrastructureThe implications of this approach are entirely practical. Firefighters could gain better intelligence about local and evolving risks. Land managers could test prevention strategies using more comprehensive information about fuels, weather and past fires. Researchers could compare evidence across ecosystems without repeatedly moving huge datasets between institutions. Smaller regions and resource-constrained teams could access analytical capabilities without having to build large data infrastructures themselves.Europe is already investing heavily in satellites, databases, research programmes, forecasting systems and scientific expertise. The question is whether we will connect those investments well enough to turn them into actionable intelligence.That requires policymakers and funders to treat data infrastructure as seriously as physical infrastructure. Data generated or supported through European public funding should be Fair, verifiable and machine actionable by design, wherever legally and ethically possible.Related articlesData Corner: Europe’s burning need for wildfire mitigation researchClimate monitoring must remain a global enterprise, experts sayIn practice, that means funding not only the production of data, but also the infrastructure that makes data usable across systems: metadata, provenance, interoperability, access mechanisms and governance. Where data must remain restricted, we should ensure that it can still be securely discovered, verified and used for authorised analysis.Initiatives such as the European Open Science Cloud offer an existing framework through which these principles can be put into practice. What is needed now is to accelerate implementation and make them a standard part of how Europe funds and builds research and innovation systems.We do not need another generation of disconnected databases. The data is already there. The opportunity is to make it work together, securely, responsibly and quickly enough to help prevent the next fire, rather than simply document the last one.Jean-Claude Burgelman is professor emeritus at the Free University of Brussels (VUB) and editor-in-chief at Frontiers Policy Lab. For more than 20 years he held leading roles in research and innovation policy at the European Commission.
LSU football news: Expulsion is no longer an agenda item at SEC's Thursday meeting
SEC presidents and chancellors will skip LSU football’s expulsion when they meet Thursday. This move cools a heated dispute that had threatened the Tigers’ place in the conference . Yahoo Sports’ Ross Dellenger posted on X, formerly Twitter, on Wednesday that sources told him expulsion is off Thursday’s agenda. “This news comes on the heels of LSU […] The post LSU football news: Expulsion is no longer an agenda item at SEC's Thursday meeting appeared first on ClutchPoints.
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Read the Apple document explaining how new listening features still protect your privacy
Will you be using Audio Intelligence?
River Ryan Impresses in Tigers Organizational Debut
The former Dodgers phenom dominated in his Toledo debut, showcasing the aggressive strike-zone command that could fast-track the 28-year-old righty to Detroit’s rotation before season's end.
Three members of the ESPN/Disney family named to Sports Broadcasting Hall of Fame Class of 2026
Three members of The Walt Disney Company/ESPN family – former Disney Chairman and CEO Robert A. Iger, Monday Night Football analyst Troy
Apple's Fine Print: Daily Usage Limits for Siri AI, 'Expanded Access' Coming for a Fee
Apple today confirmed that there will be a daily usage limit for Siri AI, with expanded access available for a fee in the future. In the fine print of Apple's announcement of the Health Sensing features coming to the Apple Watch Series 12 and Apple Watch Ultra 4, Apple says it will have usage limits on Siri AI, intelligent photo editing tools, Image Playground, and Apple Foundation Cloud models in the Shortcuts app.
Enjoy the wins, LSU fans, as college sports crumbles before our eyes
The Tigers’ dominance on the field and Kiffin’s loose cannon antics might provide a nice distraction in the coming months, but let’s not be lulled into believing they aren’t evidence of a structure with a severely compromised foundation.
Apple Unveils the iPhone Duo, a Foldable Phone That Costs $1,999
At the company’s annual September product event, Apple also demonstrated its work on artificial intelligence and other new devices.
Héctor Socas, astrophysicist: ‘If a more advanced civilization contacted us, they should be more afraid of us than we are of them’
Artificial intelligence, extraterrestrial life, the climate crisis, the future of work and global governance. This science communicator uses the lens of science to tackle a much broader question: what kind of civilization do we want to be?
Apple's revamped Health app will calculate your 'health age' and readiness score
The update uses Apple Intelligence to make better sense of your health data.
LSU finalizes 2026 roster, will not add former NFL players
The Tigers added two more players to their roster to reach the 105 limit, meaning they will not be adding any former NFL players.
Apple unveils Watch Series 12 and Watch Ultra 4 with an AI upgrade that can recap your day
Most notably, Apple is taking aim at the growing wave of AI wearables with new "Audio Intelligence" features that let you rewind moments and remember details from daily conversations.
Americans prefer getting bitten by a mosquito or stubbing their toe than today’s politics
Respondents still prefer today’s politics over billionaires, telemarketers, health insurance companies, artificial intelligence, Elon Musk and root canals.
Drew Anderson just gave Tigers a $10 million decision
Drew Anderson has gone from a flexible bullpen arm to a legitimate piece of Detroit’s rotation. Now the Tigers must determine whether that transformation is worth exercising his $10 million club option for 2027.
Game 146: Minnesota Twins at Detroit Tigers
First Pitch: 12:10 PMTV: Twins.TVRadio: TIBN, WCCO 830, The Wolf 102.9 FM, Audacy AppKnow Yo’ Foe: Bless You Boys (Traditionally, “Blessed Assurance” has three verses. This cover has two, while the lyrics below account for six; feel free to replay the song as much or as little as you choose to account for them all.) […]
ARPA-H to invest $62 million to develop FDA-authorized AI to help treat heart failure
ARPA-H, the government agency that funds cutting edge health research, plans to commit $62.7 million to develop artificial intelligence bots that direct
Tigers prospect acquired in Tarik Skubal deal now starting Wednesday
Detroit Tigers prospect River Ryan, who was acquired in the deadline deal for Tarik Skubal, will start on Wednesday for Triple-A Toledo.
Florida Poly partners with Detroit Tigers to enhance student access to sport science and data analytics
'This partnership strengthens our ability to translate research into real decisions for our players.'
Will it kill off humanity? Computer scientists and politicians wrestle with risks of AI
Alarming warnings from industry insiders increase pressure for curbs on artificial superintelligence
Will it kill off humanity? Computer scientists and politicians wrestle with risks of AI
Alarming warnings from industry insiders increase pressure for curbs on artificial superintelligence
Great Lakes Sports & Entertainment Network to air Tigers-Twins Game 3
The Detroit Tigers will play Game 3 of their series against the Minnesota Twins on Wednesday, Sept. 9, and there’s a new way to watch.
CobbleStone® Announces Four Business Solutions Director John O'Brien as Featured Speaker at User Conference 2026
/PRNewswire/ -- CobbleStone Software, a recognized leader in contract lifecycle management (CLM) and contract artificial intelligence, is pleased to announce...
Gracenote Expands AI Product Roadmap with Sports MCP Server, Entertainment SLM and Agents
/PRNewswire/ -- Gracenote, Nielsen's content intelligence business, today unveiled the next phase of its AI product roadmap. Anchored by its Video Model...
EverTrue Acquires Aidentified's Philanthropy Business, Securing Exclusive Data Rights to Advance AI-Powered Fundraising
/PRNewswire/ -- EverTrue, the philanthropy-first intelligence platform for fundraising teams, today announced an exclusive partnership with Aidentified, a data...
H1 acquires Defacto Health to expand provider network intelligence
H1 has acquired Defacto Health, a healthcare data company focused on provider network intelligence, in a move to expand its offerings for health plans and strengthen its healthcare data assets. | H1 has acquired Defacto Health, a healthcare data company focused on provider network intelligence, in a move to expand its offerings for health plans and strengthen its healthcare data assets.
Parlance Brings Verified Push Notification Security to Health System IT Help Desks on ServiceNow Store
/PRNewswire/ -- Parlance, a healthcare voice AI company, today announced the availability of its help desk intelligent virtual assistant (IVA) on the...
BBH Launches a New Technology Business, Braid, Solving for Intelligent Data Transformation
BOSTON, September 09, 2026--Brown Brothers Harriman (BBH) today announced the launch of a new technology affiliate, Braid LLC, focused on solving enterprise data transformation for financial services. Braid offers an AI-native data transformation platform that gives firms a scale solution to transform, connect, and manage their data with confidence.
Indigenous Arts Initiative will offer workshops on arts, entertainment industry
The Indigenous Arts Initiative, which includes partners from the University of Kansas, will bring two distinguished Indigenous artists and educators to Lawrence this September for a series of free public workshops exploring art, culture, storytelling and filmmaking.
New York Times Names Ben Shpigel Editor for Real-Time Politics Coverage
The New York Times has named Ben Shpigel to the Politics desk, where the veteran Times journalist will lead efforts... Read More
Becky G expands her block in new album ‘Baraja Bendita’
LOS ANGELES — This past February, Becky G was decked in a tiger-print Roberto Cavalli coat, preening for photos on the streets of Milan: a 13-hour flight away from LAX,
Becky G expands her block in new album ‘Baraja Bendita’
LOS ANGELES — This past February, Becky G was decked in a tiger-print Roberto Cavalli coat, preening for photos on the streets of Milan: a 13-hour flight away from LAX,
Zero Seconds, Millions Made: Leipzig Sell Sani to Saudi Arabia
Suleman Sani's brief RB Leipzig spell is over, with the Nigerian winger completing a permanent move to Saudi Arabian side Al-Qadsiah just months after arriving in Germany.
Turning information into action to strengthen health emergency preparedness in the Eastern Mediterranean Region
WHO and partners advance a new regional All-Hazards Public Health Intelligence (PHI) Network to connect information, anticipate risks and support faster, more coordinated action during health emergencies9 September...
Film and TV Portrayals of A.I. Go Beyond Science Fiction
Plots involving some kind of artificial intelligence are even part of soap operas. Here’s how they’ve evolved over the decades.
‘Fat b*tches’: Videos reveal the extent of GOP candidate’s crude sexual remarks
Brandon Herrera repeatedly made vulgar sexual statements and derogatory comments about the appearance and intelligence of women, CNN found.
Comviva announces Kalyanasundaram Sivasubramaniam to lead the DigiTech Business, Accelerating Platform-Led Growth and AI Transformation
Comviva, a global leader in digital transformation solutions, today announced the appointment of Kalyanasundaram Sivasubramaniam as Product Unit Head for its DigiTech business. In this role, he will lead the strategic growth and evolution of Comviva's DigiTech portfolio, including its intelligent digital business platform, BlueMarble.
Worried about rising beef prices? WA farmers say, share a cow
CARNATION, Washington — Far from the refrigerated meat sections of Seattle's grocery stores, two dozen beef cattle relaxed in the afternoon drizzle falling on Carnation Farms' grassy fields. Livestock manager
Slime Molds and a double Ig Nobel Prize winner and a big, great science adventure
” ‘This is dangerous’: slime moulds and the bitter debate over the nature of intelligence — Scientists are battling over whether supposedly simple organisms should be considered ‘intelligent’…
Lane Kiffin and Livvy Dunne Just Made LSU Cool Again
I’m not saying Lane Kiffin is the most entertaining hire LSU has made in years. I’m just saying Livvy Dunne is suddenly back around LSU football. Coincidence? Absolutely. But let me have my fun. Dunne returned to Baton Rouge for LSU’s season opener against Clemson, watched the Tigers absolutely demolish the Tigers 51-10 and showed…
Allegheny County Council proposes bill that could regulate AI use in political campaign materials
Members of Allegheny County Council on Tuesday introduced a bill that would require political candidates to disclose their use of artificial intelligence in campaign materials, an effort aimed at preventing voters from being misled by AI-generative content. If passed, the ordinance would establish disclosure requirements for AI-generated campaign content used
Twins 3, Tigers 2: Clemens’ homer launches Twins to victory
Kody Clemens’ 25th homer was the deciding moment in this game.
The SEC will vote to expel LSU. Here's why
Lane Kiffin and the Tigers could be without a conference soon.
Why General AI Coding Assistants Fall Short in Science
Generic AI coding assistants struggle with scientific workflows. Rolv v3 adds reproducibility, biomedical intelligence, HPC execution, and visual DAGs.
The 98 Biggest TV Show Flops, Bombs and Misses in the First Half of 2026
(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) In July, I updated my look at how the “streaming bubble” popped since 2023, showing the decline in streaming TV shows over time. But after compiling and analyzing and writing about over one hundred TV show flops in the first half of 2026—I counted 99 “nominees” and there are even more honorable mentions—I couldn’t have told you that the number of shows is going down. When it comes to scripted, English-language TV shows, it feels like we have as many bombs as ever. I don’t keep a specific count, but some streamers probably had as many flops as they’ve ever had.1 That’s right, it’s time for part two of my analysis of the biggest flops, bombs and misses on streaming in the first half of 2026. Two weeks ago, I took a look at films. Today, TV shows. If you want to read the full methodology for how I assemble this list, you can find it at the bottom of this article. In short, this list is… ...scripted and unscripted TV shows,...from the nine major streamers,...in the US (using US-only ratings),...excluding true crime, kids and foreign-language shows,...that got no/poor ratings,...from Jan-2026 to the end of June-2026. Reminder: this article does not represent my personal opinion—many of these shows are great!—but I follow the data, and a miss is a miss and a bomb is a bomb. Also, price matters. If a TV show costs north of $100 million, it needs to get lots and lots of streaming viewership to justify that budget. As with past editions, I ordered this list by streamer, going from best (fewest flops) to worst (the most misses)—taking the size of the flops into consideration—and like the last edition, three or four streamers vied to take the win/loss of having the most flops. (But the actual winner is no surprise.) I try to avoid tooting my own horn too much, but seriously, in just under 5,000 words (including the methodology section) I provide a mostly comprehensive overview of the eight major streamers (Netflix, Disney+, Prime Video, Hulu, HBO Max, Peacock, Paramount+, and Apple TV) for the first half of the year, mentioning most of their hits and all their misses. It summarizes the entire first half of 2026! If you want to support this work, please subscribe. Subscribe Tubi Big Mood Boarders The Freak Brothers Twenty Twenty Six Honorable Mentions: Busted on Bodycam, Deestroying the Pitch, Destination World Cup 2026 I don’t think that Tubi spends all that much making or (mostly) licensing these original TV shows—Big Mood, Boarders and Twenty Twenty Six all come from the UK—but they’re not free and they didn’t chart anywhere. Winner: The Freak Brothers Have you even heard of this show? It’s an animated comedy...that’s on its third season! And Pete Davidson, Woody Harrelson, John Goodman and Tiffany Haddish all provide voice talent for it. Yes, animated shows don’t cost as much as live action shows, but cheap isn’t free! So a show with this level of talent needs to perform better. Disney+ Daredevil: Born Again Star Wars: Maul – Shadow Lord Honorable Mentions: Behind the Attraction, Donna Hay Coastal Celebrations, We Call It Imagineering Disney+ doesn’t make all that many original shows anymore. They had two flops, and one was animated. Their one not-a-miss show, Wonder Man, got just good enough viewership to not be considered a “miss”...but it’s since been cancelled. At this point, Disney has pivoted entirely away from making big budget TV shows for Disney+ to making...almost nothing for Disney+? Sure, Disney’s spending circa 2019-2022 was unsustainable, but now they’re pivoting too far in the other direction. At some point, Disney needs to stop shifting strategies so wildly. Really, Disney should have made fewer shows for Disney+ at launch and the shows they did make at that time needed to be made at more reasonable budgets. And they should adopt that strategy now. Winner: Daredevil: Born Again Daredevil, the Marvel Comics character, is on my personal Mount Rushmore of favorite superheroes, so it pains me to give him the win/loss today, but this show deserves it. I’ll repeat my hot take from last spring: “Based on his popularity, Daredevil should be in movies, and probably ones that cost a lot less than the MCU’s usual price tag. Disney/Bob Iger/Ike Perlmutter (who, based on reporting, made the decision) made a huge mistake selling TV shows to Netflix in the 2010s, thus limiting this character to the small screen. Daredevil could have anchored Marvel’s post-Infinity War plans, and if he did, the MCU would probably be in a better place than it is now.” HBO Max We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… What four streamers had the most misses... HBO’s strong start to 2026… The caveat to Peacock’s turnaround this year... Paramount+’s key man problem… What country isn’t delivering hits for Netflix or Hulu... The cavalcade of stars on a streamer where no one is watching their shows... Across nearly 5,000 words of analysis… And a lot more... ...please subscribe! We can only keep doing this great work with your support. If you’d like to read more about why you should subscribe, please read this article about the Streaming Ratings Report, why it matters, why you need it, and why we cover streaming ratings best.
SEC sets meeting to discuss booting LSU from conference
The Tigers didn't ultimately add any NFL players to their roster ahead of Week 1, but that hasn't stopped the SEC presidents' crusade against them.
Roundup: Using AI to better integrate virtual modalities into care delivery
Artificial intelligence enhancements in telehealth aim to bolster care continuity while virtual nursing extends bedside care. Also, Zocdoc integrates with Google Gemini to book appointments while Sword Health is set to acquire Headspace's parent company.
Harvard, MIT scholars head north as Carney offers millions
Canada is investing $362 million to lure 64 top global scholars, including dozens from Harvard, MIT and other elite U.S. universities, to advance research in health and artificial intelligence.
OpenAI Says It Has Cracked One of Math’s ‘Millennium Problems’
The company’s announcement is the most dramatic sign yet that artificial intelligence is fundamentally transforming the field of higher mathematics.
Gone but not forgotten – Indigent Remains Ceremony 2026
The King County Medical Examiner's Office Indigent Remains Program provides burial for King County residents who have died without resources or family to claim their remains for a proper burial. The next ceremony to remember these individuals will take place on Wednesday, October 7, 2026, at 1 p.m. at Mt. Olivet Cemetery in Renton (100 Blaine Ave NE). It’s open to any member of the public who wishes to pay their respects.