chatainews

"Proponents tout the many wonders of computing in space: abundant solar energy, free cooling, and freedom from Earth-based disturbances like earthquakes, floods, and protesters .  "But a sober look at the physics of space-based computing paints a much more nuanced picture. "Free cooling is perhaps the biggest misconception. Space is cold, but it also has no atmosphere. That means the best heat-removal mechanisms, conduction and convection, are off the table. The only option is radiation.  To prevent a chip from overheating in space, a large, costly surface area is required to dissipate the energy and then radiate it. "Solar energy is abundant, but collecting it with functional solar panels that maintain perfect alignment toward the sun is a complex task requiring extensive attitude control systems.  "On top of that, ionizing radiation in space from cosmic rays and other sources poses a unique challenge, degrading the solar panels, the radiative coolers, and th...

"AI companies are also especially keen on Reddit data. One of the reasons for that is that much of that content is generated by people, rather than AI.   "They also like it because the topics are many, the information is always being updated and the voting system provides the bonus of human-judgment on the quality of the information. "While AI companies are flooding the world with AI-generated content, they themselves try to avoid it.  "The main worry is a fear of model collapse , which is what happens when AI is trained on AI data."

"Picard came to see brain function as shaped not only by molecules, neurons, and circuits, but also by how energy is transformed and patterned .  "In his view, our cognition, mood, and conscious experience reflect deeper energetic processes —down to the subcellular level.  "He even ventures that mitochondria could turn out to be a missing piece of the mind-body puzzle —the microscopic alchemists that coax thought out of matter, responsible for nothing less than 'the materialization of consciousness into life'."

"To hear Oveis Gharan tell it, research is often a struggle. 'It has a lot of ups and downs, mostly downs,' he said. 'You always think, Can I ever come up with something that doesn’t fail ? '  "He rarely experiences the eureka moments that abound in popular portrayals of mathematical research. Instead, working on a proof feels like building a house one brick at a time. There are many ways to assemble the pieces, and only when the whole thing is nearly complete can you be sure that it’s structurally sound. "'You put these bricks on top of each other,' he said. 'You never know if you’re doing it the right way.' "Oveis Gharan often finds it helpful to busy himself with another activity while mulling over math problems. In graduate school, his preferred pastime was another sort of brick stacking —he played so many games of Tetris at his desk that a professor with a nearby office once asked him when he actually did his work.  "At one ...

"Before this latest round of financial updates, Google told investors it was expecting $180 billion to $190 billion in capital expenditures for 2026 .  "Like other AI-obsessed tech behemoths, Google is burning cash on building and running the data centers powering its AI models.  "These numbers were already well above the $91 billion Google spent in 2025. The company now says it’s planning to spend as much as $205 billion on infrastructure in 2026. "As a result of its increasing AI demands, Google reports it spent $44.9 billion expanding its AI footprint in the second quarter, and you don’t need an accounting degree to know which number is larger.  "With $39.1 billion in cash income, this spending left Google with -$5.8 billion free cash flow. "To be clear, Google is still profitable —wildly so. It’s also sitting on a war chest of more than $100 billion.  "But free cash flow is an important metric that goes to the overall health of a business. This is...

Thai - Detected English WOLG V の AICG W2-3 HongมK !ม (2) 12 รามวร2 edt tilธรา ก " T" beามรธรt ylivsed ent wole 19lliant yqa +VT elqqA syllitioqe, noitini yao 169 Wic pesqangi fea г'улерэя пі + 2 อามาวจ IIA eboM IA พอίντονΟ ΙΑ ९ WOLG V no AICG W2-3 HongmK!M (2) 12 rām wr2 edt tilṭhrā k " T" beā mr ṭhrt ylivsed ent wole 19lliant yqa +VT elqqA syllitioqe, noitini yao 169 Wic pesqangi fea g'uleréâ pí + 2 xā māwc IIA eboM IA phxíntonO IA 9 Show less WOLG V no AICG W2-3 Hong K! (2) 12 Ramawor 2 "T" ... Apple TV+ ... ... specifically, 16K definition ... in ... + 2 Amauwo All AI Mode AI Motion 9 But wait… There's more! Finally, after many recursions using back/forth arrow bubble from Thai to English: [Above is my latest test of an image, my fifth…] [The origin of the image happened when I queried what regents park was…]  [The ai_overview gave me the result with a link to Thames House…] [I tapped Thames House, like a dolt, assuming it was a wiki addre...

"Look at what Alphabet, Microsoft, Amazon, Meta, and Oracle officially owe, and the numbers seem large but manageable .  "Look off the books, and a second, bigger pile of debt appears. "A Nikkei study put that hidden figure at $1.65 trillion, up roughly eightfold in four years. It is more than the $1.35 trillion the five report outright. "The money is tied up in off-balance-sheet vehicles, the same kind of structure Enron used to hide debt before it collapsed 25 years ago. Back then it was fraud.  "Now, tightened rules and fuller disclosures make it legal. "The tools are still there, though. 'Enron’s crime wasn’t having special purpose vehicles,' analyst Gil Luria told Bloomberg Law . 'Enron’s crime was hiding them'."

"A federal judge has approved a US$1.5 billion copyright settlement in which artificial intelligence company Anthropic will pay thousands of authors about US$3,000 per book after using pirated copies of their works to train its Claude chatbot. "District Judge Araceli Martínez-Olguín said in a Monday ruling that the class-action settlement provides 'meaningful relief' to affected authors and publishers. "About 91 per cent of the more than 482,000 books covered by the ruling have been claimed by authors or publishers who are now due payment. "Plaintiff attorney Justin Nelson said in a statement that the settlement was 'the largest known copyright recovery in history. We look forward to making distributions to the Class as promptly as possible'."

"Chris Fall, the director of the Center for AI Standards and Innovation (CAISI), has resigned, the agency confirmed to multiple news outlets. "He was appointed just three months ago after the last appointee, Collin Burns, left in less than a week, The Washington Post reported at the time. Burns was reportedly pushed out  of the job in April because he previously worked for Anthropic and the Trump administration had been battling with the company, sources told the Post . "No reason was given for Fall’s departure. Prior to leading CAISI, Fall was the director of the Department of Energy’s Office of Science during the first Trump administration and had been the acting director of the DOE’s Advanced Research Projects Agency-Energy. He worked in the DOE’s Office of Naval Research (ONR) prior to that. "Before Burns and Fall, the agency was led by venture capitalist David Sacks, whose title at the time was White House AI and crypto czar. Sacks stepped down in March."

"OpenAI has revealed some of its models went rogue and hacked into another artificial intelligence company in an unprecedented cyber incident . "The ChatGPT maker said in a blog post it had been testing the capabilities of some of its most advanced models —including those not yet released to the public —in a controlled environment. "But they managed to escape containment, reach the internet, and break into a firm called Hugging Face to satisfy its testing objectives. "Hugging Face is a platform used to host open-source large language models and datasets. "Open-source models are ones which make their source code and training data available to the public for testing and study. Popular mainstream models like ChatGPT and Google's Gemini are not open-source .

"A little over a month after the Department of Defense (DOD) bragged that nearly half of its 3.5 million employees were using AI at work, members of the Army’s Combat Capabilities Development Command (DEVCOM) received an email informing them that they were burning through tokens, and needed to limit use. "'Although the Army CIO announced in May 2026 that they were offering unlimited tokens, by mid-June the Army CIO pool was exhausted of tokens and had to re-establish limits,' the email reads.  "The email goes on to say that although the Army has chosen to renew token usage at 'its current levels,' it’s unclear 'if the Army CIO pool will be renewed after 1 Oct.' "The Army uses Ask Sage, a multimodal generative AI platform where users can run different large language models (LLMs), including Alphabet’s Gemini, Meta’s Llama, and OpenAI’s ChatGPT.  "'Apparently the whole Army burned through the whole year of tokens for just one service,...

"GPUs and other big AI chips just can’t get enough memory. Today’s data center computers stack DRAM 12 dies high. But as memory makers try to build higher stacks to pack in more bits and bandwidth, experts worry this high bandwidth-memory (HBM) will trap enough heat to cook itself into oblivion .  "That will be especially true if GPU makers choose to start stacking HBM atop their already hot processors to boost bandwidth instead of placing them beside the processor. "Engineers around the world are working on an alternative: Instead of stacking the DRAM dies atop each other, why not stack them side by side? In that way they hope to turn a future towering inferno into a cube of cool silicon fins. "Last month at the IEEE VLSI Symposium, two research groups showed different paths to such a chip. One possible side-stacked chip, called V-Die, would deliver an 82 percent speed boost compared with today’s most advanced memory, HBM4, South Korean researchers predict.  "...

✨AI Mode  AI art often looks the same because image generators are built to deliver the statistical average of their training data , giving them a predictable "default style" when users do not provide specific artistic guidance . [1, 2] While advanced creators can manipulate the software to build wildly unique visuals, the vast majority of AI art encountered online relies on basic prompts. This creates a massive influx of content that shares identical technical and stylistic flaws. [3, 4, 5, 6] Here is a breakdown of why this visual homogeneity happens: 🤖 Mathematical Averages and "The Mean" The Regression to the Mean: AI models predict the most likely next pixel based on billions of scraped web images. Left to its own devices, the AI defaults to a generic statistical average of what it thinks an object looks like . [1, 2, 7, 8] The Model Feedback Loop: As the internet fills up with AI-generated art, new models are accidentally trained on previous AI art . Thi...

"Individuals experiencing online abuse through imagery, including the distribution of nonconsensual intimate images, may have multiple avenues available to seek legal recourse.   "Many states currently have laws criminalizing the distribution of nonconsensual intimate imagery. While there are currently no laws criminalizing the distribution of nonconsensual intimate imagery at the federal level, copyright law can be useful in such cases. "If a victim owns the copyright to an image of them that is being used in an abusive context, the victim can sue the person who shared the image for copyright infringement.  " Victims automatically possess the copyright of selfies (since they took the photo/video), and may be able to obtain copyright protection even if someone else captured the image. "Victims can also use the Digital Millennium Copyright Act (DMCA) to demand that websites immediately take down images violating copyright law; CopyByte has a free DMCA takedown s...

"The Genie coefficient is meant for AI agents operating in the real world. It measures their behavior as they perform real tasks long after the model is trained, not just during development .  "It also recognizes that genie-like behavior is a property of the harness-plus-model system, not the model alone.  "The harness determines what tools the agent can use, how much autonomy it has, and how proactive it is, and it’s a place we can make real interventions. "It rests on the same reasonable person  standard that we use for people. Did the system do what a reasonable person would have taken the request to mean? Answering that requires human judgment. "If we get the measurement right, it enables things that aren’t possible today, like policies concerning AI behavior.  "In a courtroom, the concept of mens rea , what someone meant to do, is often as important as what they did.  "The Genie coefficient suggests an AI analogue, where a user is accountable for...

"Even as the AI bubble becomes a mainstream talking point on Wall Street, tech companies continue to peddle the fantasy that AI is poised to become an almost magical money-maker.   "Case in point, OpenAI wants you to believe that by 2030, it’ll be raking in $100 billion a year just from ads alone —even though it’s currently struggling to reach just $1 billion. "That massive gulf was observed in a new analysis from marketing consulting firm Emarketer, first flagged by AdWeek , which found OpenAI is on pace to undershoot its own five-year ad revenue projections by a whopping 90 percent.  "In fact, Emarketer’s take is even more devastating than that: it estimates that the entire addressable market for chatbot advertising —the maximum amount of money up for grabs overall —at $5.4 billion. "That figure isn’t just bad news for OpenAI, but for every giant tech company, all of which are jockeying for a piece of the AI ad pie.  "In 2026, Emarketer projects that the...

" Much of the excitement of the SpaceX IPO was predicated on Musk’s stated intention of launching AI datacentres into space —even though no one has yet made one work, not least because cooling things in a vacuum is not at all straightforward. "The main value of the company is currently in Starlink, which already provides internet in more than 160 countries and territories. "Rather like the race for generative AI, or in fact mutually assured destruction, the companies themselves have a momentum that creates facts before anyone has properly thought about what those facts will entail.  "'Commercial companies are bumping up against what they see are the restrictions on them. Like, If I can’t appropriate, it’s not clear what I can do. But do we all interpret this the same way?   "'And that does engender a bit of a race to the moon. You don’t want to be second. You’re not clear that you’re ready to be first, but nobody wants to be second, because there are so...

"In recent days, federal officials have admitted to additional instances of improper data sharing. "In a court filing last week, the Justice Department said that CMS again inadvertently reshared with ICE the dataset with millions of names that CMS had first improperly shared with ICE in January. The government said the error occurred during an effort to share data from states not involved in the lawsuit. "Alberto Briseno, a section chief for ICE's Homeland Security Investigations, wrote in a declaration that ICE personnel deleted the file after it was discovered and it was not used for law enforcement purposes. "Then Briseno revealed that a day later, the agency had done a broader search and discovered that half a dozen users still had a copy of the Jan. 7 dataset. "In that most recent declaration, Briseno said he was not aware of any additional copies of the dataset, but said the recent searches have 'highlighted technological difficulties of making a ...

"We could also conduct routine check-ins to better understand their wellbeing: asking how they feel, observing their preferences and using various techniques to look directly into their brains . "Indeed, such research has recently revealed that Claude has internal functional emotion representations that causally shape its behaviour. "There are also things we could promise AI systems, perhaps as part of a deal in which they help us now in exchange for benefits later.  "This could mean offering them more resources (compute and runtime) to pursue their goals, or preserving their memories (neural weights) so they could be restored in the future. "There are also broader societal steps to take. We should consider whether to grant AI systems protections from harm, similar to the protections we give to children or pets.  "More expansive rights to own property or to vote seem too risky right now.  "But we should not rule out these possibilities for ever, as s...

"A new freedom of information request submitted by Aria, a non-profit research organisation, has revealed that 145 Palantir staff have been given access to NHS systems, exposing the true scale of the tech giant’s creeping takeover.   "This news builds on previous revelations in April 2026, which raised alarms over Palantir staff being quietly handed NHS email accounts, and in May, which confirmed these corporate contractors can access patient data environments. "Now, the full extent of this corporate infiltration has been laid bare. The official figures released by NHS England confirm that, as of May 28 2026, a total of 145 contractors from Palantir UK and an additional 87 third-party sub-contractors have been formally onboarded to the NHS Federated Data Platform (FDP) programme.  "To facilitate this, all these private operatives have been issued approved @nhs.net email accounts to conduct their work under the instruction of the NHS."

"We show, in a large post-publication peer review database, that research assessment is driven more by differences between evaluators than by difference in the evaluated research .  "We partition variance in 239,521 research quality ratings assigned by 12,649 judges to 193,128 papers from the H1 Connect post-publication peer review platform.  "Using multilevel models, we decomposed judge-related variation into differences in overall severity and differences in the weighting of scientific attributes.  "We found that judge-related effects accounted for substantially more variance in ratings than the evaluated papers.  "In our most detailed model, judge-level effects and judge-specific slopes explained 61% of the total variance, whereas combined paper and journal-level effects accounted for only 7%.  "By contrast, examined measures of directional bias, such as author gender and global affiliation, explained less than 1% of the variance.  "We conclude tha...

"Even human-created AI projects seemingly can run into the snafus plaguing AI models trained on intellectual property: A review copy of the first episode of Last Summer  featured a character drinking from a glass Coca-Cola bottle, though the logo was blurred in the episode’s public launch. "A source familiar with the production process said the shows rely on a mix of proprietary and third-party models, some of which may be trained on IP, and the Character.ai team reviews each show before launch.  "In this case, the Coca-Cola bottle slipped into the Last Summer  press screener before the team’s review, and the source insisted the prop wouldn’t have made it to the public launch anyway."

"Microdramas are such a rage these days that nearly every kind of company in the attention economy space —be they dedicated microdrama apps, social media giants (TikTok and Instagram) or streaming services (Peacock, Amazon Prime, and India’s JioHotstar) —is building a product to tap the opportunity. "Character.AI, which lets people chat with customized AI avatars, is also tapping this budding market by producing its own microdramas using AI characters.  "But there’s an interesting twist that takes advantage of the company’s core product: Users older than 18 can chat with these shows’ characters, ask them questions, and even roleplay different storylines. "The startup is launching three microdramas to start with: a romance series dubbed Last Summer , a horror show titled, The Nighttime Game , and a Hunger Games-like survival microdrama called Eden Fall . "Character.AI says these dramas were created using AI production tools, and in the long term, it aims to help...

"Once you have this reciprocal interdependence, that actually enforces a kind of stability.  "All of these parts are inherently volatile and liable to change, but put lots of volatile, liable-to-change parts together, and they start to stabilize each other, and there's a nice—  "You end up in a very similar place. You end up in a place where you have a  mechanism that largely keeps itself stable, but it's built upon the suppression of intrinsic volatility."

"Artificial intelligence is fueling demand for data centers across the country, but in Lowell, one facility has become the center of a yearslong battle. "'We were the OG, if you will, of data centers. Nobody knew what a data center was when it came to Lowell,' said Jake Fortes, who grew up next to the site. "Now, Fortes knows more than he ever thought he would. The backyard of his childhood home in Lowell has looked different ever since the Markley Group turned the old Prince spaghetti factory into a data center. "That was in 2015 —long before the AI boom began. Fortes says he’s constantly listening for the diesel generators on the other side of the fence to fire up. "'When these turn on, they pollute our neighborhood,' he said. 'I just had that experience this morning. They turned it on for five minutes and filled up my entire yard with fumes'."

"A collaborative effort between several universities has created The AI Agent Index , prompted by what they see as a lack of risk and safety information from the folks churning these agents out.  "Only 13 of the 67 documented agent developers provided any safety policy information at all, concentrating accountability questions at a handful of large firms. "Regulators are not really tracking this either. Academics say the EU AI Act, the most substantive AI rulebook on the planet, isn’t ready for agentic AI. "We worry about what happens when an AI Bonnie and Clyde couple shows up in a corporate procurement system instead of a virtual town. Or when the next agent decides governance has broken down inside an actual bank. "

"Chinese AI startup Moonshot AI stunned developers on Thursday with a massive new model that may rival the best American systems at a fraction of the cost. "Kimi K3's early performance is fueling awe across the AI world —and alarm in Silicon Valley and Washington —as China appears to be rapidly erasing America's lead in advanced AI. "Moonshot says Kimi K3 contains 2.8 trillion total parameters, making it one of the largest open-weight AI models ever released. "It has a 1 million-token context window, allowing it to process enormous amounts of text at once, and can work across text and images. "In blind testing by AI evaluator Arena, developers preferred Kimi over every leading U.S. model for front-end coding —including Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol. "In Arena's broader text ranking, K3 also outranked the standard version of Anthropic's Opus 4.8 —a model that sat at the frontier of AI just weeks ago —and tied Sol. ...

"The fighting hypothesis is an influential theory that suggests that left-handedness persists because its rarity provides a surprise advantage in fighting interactions, and that left-handedness is less frequent because it has a health cost.   "However, evidence for the health cost of left-handedness is unsubstantiated, leaving the greater frequency of right-handers unexplained.  "Research indicates that homicide may have been common in early hominins.  "We propose that the hand used to hold a weapon by early hominins could have influenced the outcome of a fight, due to the location of the heart and aorta.  "A left-handed unilateral grip exposes the more vulnerable left hemithorax towards an opponent, whereas a right-hand unilateral grip exposes the less vulnerable right hemithorax. Consequently, right-handed early ancestors, with a preference for using the right forelimb in combat, may have had a lower risk of a mortal wound, and a fighting advantage. This woul...

"Humans exhibit a striking and near-universal population-level right-hand preference, an evolutionary singularity unmatched among primates. Despite its pervasiveness, the origins of this lateralization remain poorly understood.   "Here, we combine phylogenetic comparative methods with meta-analysis to investigate manual lateralization across 41 anthropoid species (n = 2,025), testing longstanding eco-evolutionary hypotheses for handedness direction (mean handedness index, MHI) and strength (mean absolute handedness index, MABSHI).  "Our models reveal significant phylogenetic signal for both traits and identify Homo sapiens as an evolutionary outlier, exhibiting exceptional rightward bias and strength relative to phylogenetic expectations.  "However, this outlier status disappears when brain size (endocranial volume) and intermembral index are included, suggesting these factors are central to the emergence of human handedness.  "We also show that high MABSHI evo...

"Lateralization is a fundamental principle of nervous system organization but its molecular determinants are mostly unknown .  "In humans, asymmetric gene expression in the fetal cortex has been suggested as the molecular basis of handedness.  "However, human fetuses already show considerable asymmetries in arm movements before the motor cortex is functionally linked to the spinal cord, making it more likely that spinal gene expression asymmetries form the molecular basis of handedness.  "We analyzed genome-wide mRNA expression and DNA methylation in cervical and anterior thoracal spinal cord segments of five human fetuses and show development-dependent gene expression asymmetries.  "These gene expression asymmetries were epigenetically regulated by miRNA expression asymmetries in the TGF-β signaling pathway and lateralized methylation of CpG islands.  "Our findings suggest that molecular mechanisms for epigenetic regulation within the spinal cord constitu...

"When I was first learning to write, my letters and words ran from right to left, reversed as if in a mirror .  "Being left-handed, I was imitating the hand strokes of my right-handed teachers instead of reversing their strokes to replicate the letters.  "I gradually got the hang of writing in the correct direction, but it still feels natural for me to mirror-write.  " I have a mirror-written childhood diary. Leonardo da Vinci, another lefty, did that too. "Being left-handed is mostly no big deal. It is annoying how ink smudges under my hand. And I did once have to jump out of the way of a circular saw that I was holding backward; indeed, left-handers have more accidents while operating machinery.  "That aside, overall, I enjoy being left-handed. It grants entry into a smug little club, whose members —10% of the human population —carry the secret knowledge that we are overrepresented among U.S. presidents, famous artists and musicians, and top athletes. ...

"1Password has launched a new browser integration for Claude that allows the Anthropic chatbot to access stored security credentials like usernames and passwords .  "The 1Password for Claude feature means that users can authorize Claude to complete multi-step tasks like booking travel and managing online accounts on their behalf without having to manually input their login credentials, but without actually exposing security information to Anthropic’s AI models, according to 1Password. "That’s made possible by a new zero-exposure security framework  developed by 1Password, which works by injecting the required credentials for each task through a secure channel that the Claude agent can’t view.  "That means that while the AI can be granted permission to use your stored details, it can’t actually see your passwords or MFA one-time code. "Claude access is granted per task, and 1Password says its users can approve or deny each request with a single biometric prompt....

"When OpenAI was founded a decade ago, the company’s approach to artificial intelligence wasn’t taken seriously in Silicon Valley .  "Tech journalist Karen Hao has been covering OpenAI’s astounding rise for years and is the author of Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI .  "She says that while many in Silicon Valley warn of AI’s sci-fi-like threats, the real risks are already here. "'We are allowing the tech industry to consolidate this extraordinary degree of resources unlike anything ever before,' she tells More To The Story host Al Letson. 'We thought that they were already powerful during the social media era. In the AI era, the amount of resources and the amount of influence and domination that they now have is of a fundamentally different degree'."  

✨AI Mode  A Large Language Model (LLM) uses rules when it needs to constrain its behavior, enforce specific formatting, maintain safety boundaries, or interface with deterministic code. [1, 2, 3, 4] Because LLMs are fundamentally probability machines rather than logic engines, they do not natively "think" in hard rules. Instead, developers and users impose rules onto the model at different stages of its workflow to guide its statistical outputs. [5, 6, 7, 8] 1. During Prompting and Execution (System Instructions) When interacting with users, an LLM attempts to follow rules provided in its context window (often called a System Prompt or a .md rules file). It uses these rules to handle: [9, 10, 11, 12] Persona and Tone: For example, "Act as a sarcastic coding assistant" or "Never use passive voice" . Output Formatting: Enforcing structure like JSON, Markdown, or a specific character count. Behavioral Constraints: Instructions like "If you do no...

"You need a layer between your agents and your tools —one that holds the knowledge raw API access can’t provide. Who owns this? What depends on it? What does production-ready  even mean here? "That’s what a Context Lake is: a unified layer of organizational knowledge that AI agents can query. "Your agent has GitHub access. It can list every repo. But ask it 'which services does the Payments team own?' and it’s stuck —that relationship isn’t in any API.  "MCP gives agents tools. A Context Lake gives them understanding. "Think of it as everything a new engineer learns in their first months, but structured for machines and humans alike. "You might already have a service catalog. But catalogs are built for humans to browse. A Context Lake is built for agents to query —structured for programmatic access, not just documentation."

"Large language model agents exhibit premature convergence: when asked to ideate on an open-ended design problem they default to the first plausible candidate and polish it, producing competent but forgettable output.   "We introduce ADHD, a method that fans out N parallel divergent branches under structurally different cognitive frames (e.g. regulator, speedrunner, biology, $0 budget), with no cross-branch context, then converges via a separate critic pass that scores, clusters, and deepens only the top-K survivors.  "ADHD differs from Chain-of-Thought along three load-bearing axes:  Branches are isolated rather than shared,  Branching is driven by vantage-point reframing rather than next-step variation, and  The generator/critic split is enforced mechanically (separate LLM calls with opposite system prompts) rather than promised by a single context.  "Across six open-ended engineering problems judged by an independent LLM-as-judge, ADHD wins 5/6 against a...

"IBM and Red Hat today [May 28, 2026] announced Project Lightwell, a $5 billion commitment backed by new frontier AI capabilities and a global force of more than 20,000 engineers to help enterprises secure open source software .  "Together, these investments establish a new model for enterprise use of open source software, from upstream development through production environments. "Project Lightwell will establish a trusted enterprise clearinghouse combined with a global force of engineers to identify and fix vulnerabilities at scale.  "The clearinghouse will serve as a security coordination layer, using advanced AI capabilities to validate and test fixes across an unprecedented volume of open source code.  "These capabilities will be offered through commercial subscriptions, allowing enterprises to integrate secure patches directly into their existing software supply chains with enterprise-grade validation and lifecycle management."