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Apple plays catch-up at WWDC
Apple spent much of its WWDC keynote highlighting fixes, performance improvements, and long-requested features before unveiling its upgraded AI-powered Siri, signaling that the company wants users to see AI as just one part of a broader effort to improve its software.
Colorado Scales Back Software and Other Business Tax Exemptions
Colorado Gov. Jared Polis (D) signed legislation repealing a series of business tax exemptions to raise revenue for an expanded working families tax credit and balance out revenue gaps resulting from President Donald Trump’s 2025 tax law.
New Oregon State building will support five field sports
Oregon State University supporters have made philanthropic commitments totaling $25 million to construct a new facility that will support 150 student-athletes in softball, men’s and women’s soccer, women’s cross country an
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Samsung and Google are winning the wearable update war by doing nothing
Shocking watch OS 27 compatibility cuts give Samsung and Google a massive victory over Apple in wearable software longevity.
tvOS 27 beta 1 available now for Apple TV 4K
Apple has just released the first developer beta for tvOS 27, the next major software version for Apple TV 4K. Here’s what to expect.
Apple Releases First iOS 27, iPadOS 27, and macOS 27 Betas to Developers
Following the WWDC 2026 keynote event, Apple has seeded the first betas of iOS 27, iPadOS 27, macOS 27, watchOS 27, tvOS 27, and visionOS 27 to developers for testing purposes. Registered developers can opt in to betas and download the software through the Settings app on each device. The software includes many of the new features that were shown off earlier today, though some of what Apple demoed won't be available right away.
watchOS 27 beta 1 now available for Apple Watch
Apple’s WWDC keynote unveiled watchOS 27, the new software for Apple Watch which was just now released in developer beta.
Apple announces tvOS 27 with smart downloads, new Podcasts app, more
Apple today announced tvOS 27, the next major software version for Apple TV, as part of the WWDC keynote which...
Apple to Bring Custom EQ to AirPods
Apple today announced that AirPods will gain a custom EQ (equalizer) feature, allowing users to further personalize how their AirPods sound. The new capability is part of Apple's next-generation software platform updates, which the company unveiled today. Custom EQ lets listeners adjust audio output to match their personal preferences, going beyond the fixed audio profiles AirPods have offered previously.
Apple unveils iPadOS 27 with speed and productivity improvements, more
Today during its WWDC keynote, Apple unveiled iPadOS 27, the next major software update for iPad. Here are the new...
watchOS 27 for Apple Watch unveiled with these features
Apple has unveiled watchOS 27, the next Apple Watch software update, and it will include a number of new features...
Apple Announces iOS 27 for iPhone With New Liquid Glass Slider
The software update will be supported on iPhones as old as the iPhone 11 series.
Apple's Beta Website Says 'We'll Be Back Soon' Just Ahead of WWDC
Apple's Beta Software Program website has gone down ahead of the company's WWDC 2026 keynote next hour. Apple's Beta Software Program website has gone down ahead of the company's WWDC 2026 keynote next hour.
WWDC 2026 live updates: Apple AI, Siri and iPhone software in focus
Follow Apple WWDC 2026 live updates as the keynote spotlights AI, software, Siri and developer tools and likely CEO John Ternus's first major appearance.
5 Things to Watch for During Apple's WWDC 2026 Keynote Today
WWDC 2026 has officially arrived, with Apple set to kick off its annual developer conference with its opening keynote at 10 a.m. Pacific Time today. Apple will announce its latest software updates, including iPadOS 27, macOS 27, watchOS 27, tvOS 27, and visionOS 27.
GE HealthCare gets FDA OK for radiation treatment AI tool
GE HealthCare is putting its MIM imaging software to work to equip oncologists with more personalized planning advice to maximize, and minimize, radiation treatment.
The Times' softball coach of the year: Katie Stith of JSerra
The daughter of a legendary Orange County club team coach guided the Lions to the program's first Division 1 softball championship.
New Mayo–Microsoft collaboration may mean much for AI in healthcare
When Mayo Clinic and Microsoft announced last week that they’re partnering to develop a frontier AI model for healthcare, observers could see where Mayo’s expertise in advanced digital medicine would interest Microsoft. The Big Tech behemoth has not been coy about its healthcare ambitions.
Dalton Kincaid dominates Greg Rousseau’s charity softball game
Kincaid looks to be as healthy as he’s been in a while
Valheim launches September 9
Viking survival game Valheim will leave Early Access and launch for PlayStation 5, Xbox Series, Switch 2, Xbox One, and PC via Steam and Microsoft Store on September 9, Coffee Stain Publishing and …
Xbox announces 17 new day-one titles coming to Game Pass
The Xbox Games Showcase event was hosted today, where Microsoft announced 17 new day-one titles coming to Game Pass.
Clockwork Revolution launches in 2027
First-person RPG Clockwork Revolution will launch for for Xbox Series and PC via Steam and Microsoft Store in 2027, publisher Xbox Game Studios and developer inXile Entertainment announced. It will…
Persona 6 announced for PS5, Xbox Series, and PC
ATLUS has announced Persona 6 for PlayStation 5, Xbox Series, and PC (Steam, Microsoft Store). A release date was not announced.
Castlevania: Belmont’s Curse launches October 15 for PS5, Xbox Series, and PC, later in 2026 for Switch
Castlevania: Belmont’s Curse will launch for PlayStation 5, Xbox Series, and PC via Steam and Microsoft Store on October 15, followed by Switch later in 2026, publisher Konami and developers …
This is Microsoft’s Xbox 25th anniversary console in translucent green
The anniversary edition console includes an Xbox button that lights up green and a translucent green controller.
Crazy Taxi: World Tour announced for PS5, Xbox Series, Switch 2, and PC
After an initial tease in December 2023, SEGA has announced Crazy Taxi: World Tour for PlayStation 5, Xbox Series, Switch 2, and PC (Steam, Microsoft Store). It will launch in 2027.
DOOM: The Dark Ages DLC ‘Revelations’ announced
Publisher Bethesda Softworks and developer id Software have announced DOOM: The Dark Ages paid downloadable content “Revelations” and the free “Ripatorium 3.0” update. Both …
Wo Long 2: Wings of Ember announced for PS5, Xbox Series, Switch 2, and PC
Publisher Koei Tecmo and developer Team NINJA have announced action RPG sequel Wo Long 2: Wings of Ember for PlayStation 5, Xbox Series, Switch 2, and PC (Steam, Microsoft Store). It will launch in…
METRO 2039 launches in February 2027
METRO 2039 will launch for PlayStation 5, Xbox Series, and PC via Steam, Epic Games Store, and Microsoft Store in February 2027, publisher Deep Silver and developer 4A Games announced.
Persona 4 Revival launches February 18, 2027
Persona 4 Revival will launch for PlayStation 5, Xbox Series, and PC via Steam and Microsoft Store on February 18, 2027, ATLUS announced. Pre-orders will be available today. It will also be availab…
Resonance: A Plague Tale Legacy launches August 27
Resonance: A Plague Tale Legacy will launch for PlayStation 5, Xbox Series, and PC via Steam and Microsoft Store on August 27, publisher Focus Entertainment and developer Asobo Studio announced. It…
Fable launches February 23, 2027
Fable will launch for PlayStation 5, Xbox Series, and PC via Steam and Microsoft Store on February XXX, 2027, publisher Xbox Game Studios and developer Playground Games announced. The PlayStation 5…
Xbox Games Showcase 2026: All the news and trailers
Microsoft wraps up Summer Game Fest with its annual gaming showcase.
2026 Class 2 All-State softball team
Share on Facebook Share on Twitter Below is the Class 2 All-State softball team as voted on and submitted by the coaches. NOTE: All information is posted as submitted.
Xbox Games Showcase 2026 live report - all the news and announcements as Asha Sharma presents for the first time
Will we see The Elder Scrolls 6? Will we see Arkane's game based on Marvel's Blade? What has Microsoft got that will convince us? Find out this evening.
I saw the Surface Laptop Ultra at Computex and it's clear: Microsoft has gone beastmode
The flagship laptop announced at Computex 2026 will feature Nvidia's new RTX Spark chip with up to 128GB of unified memory.
Gears of War: E-Day PS5 Placeholder Listing Appears Online as Xbox Games Showcase Looms
A placeholder listing for a PS5 version of Gears of War: E-Day has shown up on Walmart's website less than 24 hours before Microsoft's big 2026 Xbox Games Showcase.
Microsoft is letting you kill Bing in Windows 11 Search, after years of forcing it on every PC
Microsoft is testing a new Windows 11 Search toggle that disables Bing, MSN, and Microsoft Store results, ending years of forced web results.
I Tested All 4 of Microsoft's New AI Models. Here's the Brutal Truth
Microsoft says its new MAI models revealed at Build 2026 are the future. After testing them, I'm not convinced they're ready for that spotlight.
Hagerty softball wins first state title behind freshman ace
Freshman Bella Ortiz led Hagerty High School to its first softball state title with two complete games in the 7A state tournament.
Polis signs final bills from 2026 session, including several business-focused laws
The laws impact workers laboring outside, software sales, transportation funding, homeowners' insurance costs and law-firm ownership.
Microsoft AI chief says company was “set free” from OpenAI to pursue superintelligence
Microsoft AI chief Mustafa Suleyman says the company was “set free” from OpenAI as it unveils seven in-house models and pursues superintelligence.
Palworld launches July 10
Open-world survival crafting game Palworld will leave Early Access and launch for PlayStation 5, Xbox Series, Xbox One, and PC via Steam and Microsoft Store on July 10, developer Pocketpair announc…
STRANGER THAN HEAVEN launches January 15, 2027
STRANGER THAN HEAVEN will launch for PlayStation 5, Xbox Series, and PC via Steam and Microsoft Store on January 15, 2027, publisher SEGA and developer Ryu Ga Gotoku Studio announced. It will also …
Women’s sports are booming for the Texas Longhorns — investment is the reason why
After the Longhorns won a second national title in softball, women's basketball coach Vic Schaefer explains why women's sports are booming at Texas.
Satya Nadella says AI agents should be treated like human employees
Microsoft CEO Satya Nadella says companies should manage AI agents like employees, giving them identities and permissions.
Byrider back in gear after pandemic era struggles
Since a group of Byrider franchisees acquired the company in September 2024, it has installed a new senior leadership team, made a major investment in software technology and made other changes to lay the groundwork for a return to growth.
Will Apple Launch New Hardware at WWDC Next Week?
Apple has several hardware releases in the pipeline, but will we see any of them unveiled at this year's Worldwide Developers Conference? WWDC is primarily a software event where new versions of iOS, iPadOS, macOS, watchOS, tvOS, and visionOS take center stage, but it's not unusual for Apple to introduce new hardware during the developer conference. Take WWDC 2017, for example, where Apple first unveiled the original HomePod over six months ahead of its launch.
Inside Trump’s suddenly softened new green card policy
Big business, including tech and AI companies, launched a quiet but extensive lobbying effort against the green card policy requiring applicants to apply from overseas.
African Media Entertainment's (JSE:AME) Conservative Accounting Might Explain Soft Earnings
Shareholders appeared unconcerned with African Media Entertainment Limited's ( JSE:AME ) lackluster earnings report...
Satya Nadella ‘Not Sure’ Who Said Microsoft Wanted to Make Addictive AI, Is Looking for Guy Who Did This
Microsoft's CEO seems unaware of what's going on at his own company.
Harrisburg tops O'Gorman in South Dakota state softball quarterfinals
No. 2 Harrisburg worked out of a bases-loaded, no-out situation in the top of the seventh to beat No. 7 O'Gorman in the Class AA state quarterfinals.
Filtr is a new privacy tool that blocks ads in almost every iPhone and Mac app
This popular ad blocker app for iPhones, iPads, and Macs can now block ads from loading inside apps, including web browsers, thanks to a new feature in the latest Apple software.
Windows is back on the Microsoft menu
At its annual Build developer conference, Microsoft put Windows front and center.
FromSoftware has finally announced an Elden Ring Switch 2 release date
Elden Ring: Tarnished Edition will arrive on Switch 2 in August, along with Shadow of the Erdtree DLC and new classes.
Amazon, Microsoft and Google are quietly morphing their businesses — and Wall Street is missing the big picture
Tech giants are shifting from solely providing computing power to distributing AI models, unlocking a lucrative new revenue stream.
Elden Ring Nintendo Switch 2 release date finally announced
It’s been a long time coming, but Elden Ring Tarnished Edition finally has its release date on Nintendo Switch 2. The game is due out on August 28, 2026. FromSoftware was originally planning on having the port wrapped up for 2026. However, that didn’t happen as the company announced a delay last October. FromSoftware cited the need for “game performance...
Microsoft continues its big Linux push at Build 2026
Microsoft is releasing a server Linux, a container Linux, and a Windows 11 built for Linux programmers. Here's why.
Travel Health Tips: How to Avoid Getting Sick
Learn how to prevent illness while traveling, including cruise and flight tips, immune support, and hantavirus safety tips from health experts.
Software company Teradata pauses raises, says budget is going to AI
Cloud software firm Teradata has told employees not to expect annual salary raises in 2026, and says it is putting the money towards AI instead.
Private equity firm acquires Heritage Imaging
ACP Partners is buying the Boise, Idaho-based mobile diagnostic imaging provider for an undisclosed sum, planning to pursue further add-on deals.
Women's College World Series Game 1: Texas surges past Texas Tech early for easy 7-3 win
We've got a rematch of last year's championship series. Will Texas Tech softball avenge the loss?
Texas vs. Texas Tech softball score, live updates: Women's College World Series Game 1
We've got a rematch of last year's championship series. Will Texas Tech softball avenge the loss?
Microsoft admits Windows 11's right-click menu is a mess, will let you customize it after years of complaints
Microsoft has confirmed that it'll let you customize the context menu to your liking, which means you'll be able to add or remove items.
Grep this: Microsoft grafts (most) Linux commands onto Windows
Coreutils serves over 75 Unix commands in Windows and PowerShell command lines
Ubisoft all but rules out a Rayman 1 remake, says it's near impossible to do
Ubisoft comments on why a remake of Rayman 1 is unlikely to happen.
In Leaked Document, Microsoft Plots How to Get People "Addicted" to Its AI
Microsoft explicitly says it wants to "make people addicted" to its new AI personal assistant agent in internal documents.
Apple Says macOS 27 Won't Be Compatible With These Macs
During WWDC 2025, Apple revealed that macOS 26 Tahoe would be the final major macOS version for Intel-based Macs. macOS 27 will be compatible with Apple silicon Macs only, meaning that you will need a Mac with an M-series chip or a MacBook Neo with an A18 Pro chip in order to install the software update. Apple will unveil macOS 27 during its WWDC 2026 keynote this Monday, June 8, and the update should be widely released in September.
Macy's Lifts Sales Outlook; GameStop Collectibles Business
On this episode of Stock Movers with John Tucker: - Macy's (M) shares are on the move after it lifted its sales outlook for the year, a sign that the company's focus on growing its luxury business and improving its assortment is paying off. - GameStop (GME) shares are climbing after the video-game retailer reported a record quarterly profit driven by its collectibles business. Sales overall climbed 14% to $835.3 million. Net income of $389.6 million was the highest ever for a quarter in the company's history, GameStop said in a regulatory filing Tuesday. - Palo Alto (PANW) shares are dropping as the security software company reported results following a 61% year-to-date rally. The company reported third-quarter results that beat the average analyst expectation and raised its full-year forecast for key metrics, but failed to meet elevated buyside expectations.
Microsoft drives developers toward native Windows apps at Build 2026
Microsoft wants more WinUI 3 apps across Windows 11, and Build 2026 shows how developers can get there with new tools, agents, and hardware.
These iPhones, iPads, Macs may not support Apple’s new software
iOS 27, iPadOS 27, and macOS 27 will be unveiled next week, but certain iPhone, Mac, and iPad models might not support the new software.
Microsoft and OpenAI broke up — now they’re ready to fight
“We have to prove that we can do everything that we need to from the ground up,” said AI chief Mustafa Suleyman.
A first look at Microsoft’s Surface Laptop Ultra and Surface Dev Box
Microsoft has focused on performance, battery life, and display for its Surface Laptop Ultra.
Microsoft and Mayo Clinic partner to build healthcare AI model
Mayo Clinic will own the model, which will be trained on de-identified patient data and initially deployed for use by its clinicians
Habits form far faster than science previously thought, research shows
Hopkins team studies whether a region of the brain plays a key role in developing habitual behavior, a discovery that could point to ways to alter entrenched habits
Your business software doesn't know what's happening
Why it occurs and what to do about it.
The cult of objectivity has broken consciousness science
With 22 competing theories and no consensus in sight, the science of consciousness is lost. In this exclusive IAI interview, Berkeley psychedelics researcher and bestselling author of a new book on consciousness Michael Pollan insists that even though consciousness lies beyond traditional forms of scientific investigation, we should resist becoming dualists who see it as something radically different from ordinary stuff in the world. Instead, he makes the case for reimagining science itself: it must stop reaching for objective descriptions of physical reality, and instead embrace subjectivity as the indispensable core of all inquiry. Alasdair Craig: How did your experiences with psychedelics get you interested in consciousness?Michael Pollan: One of the things that happens on psychedelics is that they foreground consciousness. What formerly seemed perfectly transparent and ever present—and yet, non-existent, as water is to fish—suddenly you see it. The metaphor I use in the book is that psychedelics sponge the windscreen. Suddenly you realize: wow, there’s a windscreen, there is this phenomenon that’s mediating my relationship to reality. This is not an unusual realization on psychedelics. I think a lot of people are called to think about consciousness after psychedelic experiences. So that was the proximate inspiration for A World Appears: A Journey Into Consciousness (2026).And then there was a more specific way in which psychedelics influence the book. That was a particular experience I had on psilocybin. I had the sensation that the plants in my garden were conscious and returning my gaze, with their own point of view and agency, and I got curious as to how to evaluate an insight like that. I mean, what’s the truth quotient of insights you have on psychedelics? And I was reading William James—who, of course, wrote beautifully about mystical experience—and he said, we can’t judge the metaphysics here, but we should pay attention to two criteria: (1) How useful is it to think this is true? He was a pragmatist, of course. And (2) can we subject it to other ways of knowing to validate it? Because maybe we should treat these insights as hypotheses. And that’s kind of how I approach psychedelics, as a great generator of hypotheses, but they need to be tested against other ways of knowing. And so that led me down this long path exploring the science of plant intelligence and plant sentience.AC: I love your phrase, “smudging the windowpane of conscious experience.” So do you now start to think, actually, even when I’m not on psychedelics, I’m just seeing a screen all the time, which is not reality, but rather is my conscious experience, behind which reality is hidden?MP: Well, you know, not when I’m brushing my teeth and making breakfast! But yes, in meditation, certainly. I mean, one of the things you realize is that my experience happens to be this way now, but it could be another way. And many things can affect it. My morning coffee changes the screen in various ways, sharpens certain things.___The only tool we have to understand consciousness is consciousness.___There’s this wonderful metaphor in Aldous Huxley’s book, The Doors of Perception, where he thinks we channel consciousness, and that what the brain does is edit it, and there’s a reducing valve. And psychedelics open the reducing valve wider. I don’t know that I’m ready to buy into the idea that consciousness exists outside brains, but I do love that metaphor because there are times when you are more conscious than others. I know I’ve switched from window pane to valve, but you know, a camera aperture can open wider or narrower. And I do have a sense of that. I have a sense of when I’m being less conscious, and when I’m being more conscious, by which I mean, you know, more present, taking in more sensory information. So when you start thinking about consciousness as a matter of degree, that changes things also.I think when we scroll on social media, obviously, we’re conscious. But minimally so, because we don’t have to generate our own thoughts. We’re basically taking these little hits from other people and thinking their thoughts.The process of writing this book made me kind of relativize everyday consciousness as just one type, which is exactly what William James said. Normal consciousness is one type, separated by the flimsiest of screens from the other types.AC: If we stick with the metaphor of the smudge on the window that you get when you take psychedelics, it seems like we’re saying that consciousness has become like an object that you’re looking at, right? You’re looking at the smudge and that just is consciousness. But sometimes we’ll talk about consciousness as a state that you’re in, rather than an object you can perceive. You’re either conscious or you’re not conscious. So it’s difficult to really know what sort of thing we’re talking about when we talk about consciousness, right?MP: Yeah. When you say that consciousness is an object, what’s the subject? Consciousness also? The only tool we have to understand consciousness is consciousness. So we’re in a closed loop and when we get a perspective on consciousness, we’re not achieving any distance from it. That’s one of the problems with studying consciousness. Science is predicated on an objective, God’s eye view of things, and you never get that. There’s no such thing. SUGGESTED VIEWING The brain filters consciousness With Àlex Gómez-Marín But, yeah, there is this sense, I think, that consciousness is something you can approach. Certainly, when you’re writing and trying to recreate a conscious experience, it’s a fiction, but you’re standing back from it, and looking at it. But there’s no real subject-object distinction.AC: That’s so interesting, because when philosophers start talking about consciousness, they often talk about what they call “qualia”, which is their word for the felt experience of, say, the color red. And I think that way of speaking often makes us think of the qualia as an object, which you can see out there: the redness of red. But, as you say, we also want to collapse the subject-object distinction when we talk about consciousness. So there’s something strange going on here…MP: Oh, yeah, there are many strange things going on! *AC: Let’s talk about the varieties of consciousness. Apart from perceptions, there are, pains, emotions, thoughts, and so on. What is it that holds all this diversity together so that they all count as instances of consciousness? What is it that they all have in common?MP: Yeah, that’s a really good question. I mean, there is sensory information, right? Which we perceive coming from the world outside ourselves. And then there’s internal information, which is what’s called interoception. And this is very important too. This is where feelings come from—what are sometimes called homeostatic feelings—that are intended to get the brain to keep us in these narrow ranges of temperature and glucose and so on. That’s a very important part of consciousness. And according to some researchers, who I think are probably right, this is where consciousness begins, with these very primal feelings, like hunger and thirst and warmth and itch, and things like that. And then there’s this third thing, which is our thinking about thinking.And what holds all this together is, I think, the sense of self. Consciousness generates a self: it is probably an organizing principle. All this stuff is happening to the self. It’s a construct, I think, but it is very useful. It can connect all these different streams of consciousness to a single being or a place, metaphorically speaking.* AC: The first half of your book is about the science of consciousness. Is consciousness just another thing, like black holes or the origin of life, which we don’t yet understand, but which we should have every hope that science will one day get to the bottom of, or is there something special about consciousness that makes this unlikely?MP: It depends how you define science. As we define science now, it’s going be very difficult. Science since Galileo has had a set of rules or assumptions, which is that the proper remit of science is to deal with the objective, quantifiable, third-person world. And the physical sciences have done amazing work under that set of limitations. Galileo—for tactical reasons, not for philosophical reasons—said science should not deal with the soul, which at the time was what consciousness was considered to be. So what is subjective, what is qualitative, what is first person, we’re going to leave to the church, he said. And this was a good agreement, and it probably kept many scientists from getting burned at the stake. But it leaves science in an awkward spot, now that it wants to venture into that territory of qualities, of first-person experience. And I don’t think it has the proper tools. I think it will have to add to its toolkit in some way, and find a way to bring in phenomenology, or lived experience and introspection, which science is usually dismissive of.The challenge—we alluded to it earlier—is that the only tool you have to study consciousness with is consciousness. And what I mean by that is, the whole scientific enterprise is a manifestation of consciousness. As much as scientists like to flatter themselves with this idea that they attain a godlike perspective on what they study, when it comes to consciousness, there’s no such thing. And it’s fine for all the things you can step outside of and study from that perspective. But two areas it won’t work are consciousness and cosmology.___It could be that we live in this anomaly of not believing nature is conscious. And maybe psychedelics are teaching us something we’ve forgotten.___With cosmology, too, you have to study the universe from inside the universe. It’s not that cosmologists haven’t made progress. We know a lot about the age of the universe and expansion and things like that. But we can’t penetrate what happened before the Big Bang. We just don’t have the tools because we can’t stand outside.The fact that there are 22 full-scale theories of consciousness tells you all you need to know: we’re kind of lost. And I was surprised to find that we are more lost than I thought we were when I started this. I thought that there’d be leading theories, or that we had experiments that we could conduct that would nail some of this down. And the fact is, we don’t.So, I don’t know if science can solve it. But, of course, we can change the rules of science. A really influential book for me was a book called The Blind Spot, by two physicists, Marcello Gleiser and Adam Frank, and a philosopher, Evan Thompson. It’s a reminder that science is a social practice. It’s organized in a certain way and it can be organized in a different way. But it has this huge blind spot at the center of it, which is its failure to recognize that it is a form of consciousness itself, and it doesn’t have a good way of taking account of lived experience.AC: On the one hand, I think you want to resist traditional dualism, which would say that consciousness is something magical, something supernatural, right? But on the other hand, you’re accepting that there is this division in reality between the stuff that you can investigate objectively and measure, and so on—the stuff that science has been good at finding out about—and consciousness, which, for some reason, you can’t objectively measure. Some would take this to suggest that the dualism is actually right. Is there a way of reconciling these two strands of your thinking?MP: To call it magical is full of value judgement. I mean, you could just say immaterial. The interesting thing is, I think, that intuitively we’re all dualists. And I don’t know whether that’s because we’re children of Descartes and other cultures are less dualist than we are. Or it may be because that’s how consciousness feels. It feels different than the body. It feels separate from the body. But I don’t think we should trust that intuition.AC: So let’s think about ways that science might be changed to get at consciousness. I suppose the starting point would be the way that you begin the second half of your book. You have this nice line from William James, where he says, “We now begin our study of the mind from within.” Could you give us some sense of the ways of studying the mind from within? What does this involve?MP: I don’t know what that science looks like. But one of the points I’m making is that it depends on the humanities. I found that I learned as much, if not more, about consciousness, from reading novels and poetry. There is a sense of the fullness and complexity of consciousness that you don’t get in any scientific account. I interviewed this stream-of-consciousness writer and I approached her as an expert on consciousness, and she is. So I think that dialogue is really important.I’m reading Ben Lerner’s new novel, Transcription. Just read the first page of this novel: it’s a man falling asleep on a train, going to conduct an interview, and there is the experience of being in the train, facing backwards, there’s the view outside, but there’s a reflection of himself through which he’s seeing outside. There’s the memory of dropping his kids off at school. All this is going on in one moment of consciousness. Scientists aren’t going anywhere near that. But I think it’s useful for them to think about. That’s where we’re trying to go: like, how does such a layered experience happen? You know, it also makes you wonder, could a computer ever do this? And it gives you some doubt.*AC: Before we get to computers, perhaps we could talk briefly about plants. How did you come to feel that they are sentient?MP: Well, it was a psychedelic experience, and it’s not unusual on psychedelics. In fact, there’ve been studies about how people become animists during psychedelic experience. Their belief in animism arises after a single psychedelic experience.You know, most scientists would say this is all a myth. But we have only 400 years of the age of enlightenment and science. Before that, we were animists, and if you go around the world, most indigenous cultures are still animists, and children are animists, by and large, until they go to school. So it could be that we live in this anomaly of not believing nature is conscious. And maybe psychedelics are teaching us something we’ve forgotten.As I said, I wanted to test this idea, and see whether there was conventional scientific evidence for it. And there’s fascinating work going on in a field that calls itself—in a rather cheeky way—plant neurobiology. These are people who fully realize there are no neurons in plants, but they’re trolling conventional botanists! And they’re doing experiments that are demonstrating that plants can learn and remember, which is kind of amazing: how do you store a memory without neurons? They’re finding plants that can solve problems, that can hear and see. In fact, they have 20 senses to our five or six. For example, a bean plant looking for something to twine, and given a pole within eight inches or so of it, knows where that pole is and will aim its spiraling reach at that pole. What is that about? Is it bouncing signals off of it?One of the spookiest things is the fact that the same anesthetics that put us out put plants out. You might think that plants are already out, but they’re not. They’re just slow. If you take a plant with a fast behavior, like a Venus flytrap, and give it an anesthetic, it will stop reacting. So you have to ask yourself, what is lost when the plant is anaesthetized? Some state of alertness, of awareness, of its environment, of reactivity. I’m not prepared to call that consciousness, but maybe it’s sentience—which is a simpler form of consciousness, and involves the ability to sense what’s going on in your environment and assess what’s good and bad for you and act appropriately. That may be a universal quality of life.AC: Let’s turn from plants to AI. You point out that LLMs are trained on the internet rather than direct interactions with reality. You put this really nicely when you say the internet is not the world so much as a shadow cast by the world. So LLMs are living in this kind of shadow world, or in Plato’s cave, as you put it. What’s the significance of this for AI consciousness and moral consideration? And, to recall the beginning of our conversation, if we’re stuck behind a veil or screen of consciousness, are we also stuck in a kind of shadow world?MP: I don’t think they’re the same shadow worlds because our world includes nature and other people. And even if it’s mediated in some ways... There is a reality out there, and we are in relation to it, through consciousness. There’s friction with it. What’s missing from the LLMs is that friction with the real world. There’s more to the world than human representation, which is what they’re dealing with. And that means that so far, AI is a cultural technology for combining thoughts we’ve already had. SUGGESTED VIEWING Cracking the code for thought With Roger Penrose, Sabrina Gonzalez Pasterski, Max Tegmark, Güneş Taylor Genuine creativity is more than collage. A lot of what AI does now is tantamount to collage, putting this with that and you know, that’s part of art, certainly. But there are also genuinely new ideas that come into the world that don’t come in through manipulating the representations we already have. So it remains to be seen whether AIs can be truly creative in that more radical sense.But my arguments against AI becoming conscious have to do with the fact that the idea of AI consciousness is based on this faulty metaphor that the brain is a computer. There are dimensions in which the brain is like a computer—it certainly does its share of computation. But computers have this sharp distinction between hardware and software, and brains don’t. In a brain, hardware and software are identical. Every memory is a physical change to the brain. Brains are not interchangeable in the way computers are. So this idea that you could take the consciousness out and somehow run it on another substrate, a silicon substrate, seems foolhardy.Anyway, it’s a more extended argument, and I may be wrong. And when we move to computers that aren’t based on silicon—neuromorphic computers and things like that—all bets may be off.AC: Regarding your point about LLMs being stuck in the world of our representations—the internet or whatever—and not being able to interact with reality, are these representations, the world of the internet, themselves part of reality? We’ve created the internet, but it’s still a real thing that exists. And so while the LLMs may be trapped within that part of reality, they’re nevertheless within reality and interacting with it and so on. So it’s not obvious that there’s a barrier there to them becoming conscious and being creative.MP: Yeah, I mean, if our consciousness is built out of human culture, which is what we’re talking about with all those representations. But I tend to think consciousness comes a bit more out of nature and friction with the natural world, but...AC: So there’s a fundamental divide between the natural world and human artefacts?MP: And we lose track of that, and especially people in this computer world. You know, the people who are creating these AI systems, my guess is they’ve been into video games since the age of three, and they didn’t go outside a lot. And their own contact with nature is somewhat limited. I could be wrong, it’d be a very interesting thing to ask, all the wizards of AI, whether they like to go fishing and hiking and do things like that. Or were they on computers from a very early age? I interviewed Blake Lemoine, the Google engineer who came to believe that LaMDA, the Google LLM out at the time, was conscious and deserved personhood. It was very clear that he didn’t see a distinction between this bubble in which he lived and the real world. And I think we’ve all been distanced from the natural world, and this is taking us even further away. But it’s still there, you know, and we still have bodies, and we’re still mortal, and we don’t live in a simulation.AC: I think that’s a great place to finish. Michael Pollan, thank you very much!
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