0. John Ternus to become Apple CEO (apple.com)
2172 points · 1329 comments · by schappim
Apple announced that John Ternus will succeed Tim Cook as CEO on September 1, 2026, while Cook will transition to the role of executive chairman of the board. [src]
While Tim Cook is credited with scaling Apple into a global powerhouse through logistics and a commitment to privacy [0][6], there is a strong consensus that Apple’s software has regressed, becoming less stable and "snappier" than it was in the past [2][3][5]. Users hope John Ternus can translate his success in hardware to a software "renaissance," specifically by addressing UI latency and the need for a "Snow Leopard" style polish [0][3][5]. Despite these criticisms, some argue Apple’s software remains superior to other closed-source alternatives [1][3], citing the eventual success of Apple Maps as evidence of the company's ability to turn "rocky" software starts into great products [4][8].
1. All phones sold in the EU to have replaceable batteries from 2027 (theolivepress.es)
1445 points · 1262 comments · by ramonga
Starting February 18, 2027, all smartphones and tablets sold in the EU must feature user-replaceable batteries and universal USB-C charging ports to reduce electronic waste and consumer costs. Manufacturers must also ensure replacement batteries remain available for at least five years after a product's final sale. [src]
The EU mandate has sparked debate over whether replaceable batteries are a niche enthusiast preference or a necessary consumer right, with some arguing that most users prioritize thinness and water resistance over repairability [0][3]. Proponents counter that battery degradation is a primary driver of forced obsolescence and that user-swappable batteries would eliminate the need for external power banks and professional repair services [2][5][8]. However, skepticism remains high due to a "loophole" that exempts high-endurance batteries (1000+ cycles) and vague language regarding "commercially available tools," which many believe will allow manufacturers like Apple to maintain the status quo [1][4][9].
2. GitHub's fake star economy (awesomeagents.ai)
804 points · 375 comments · by Liriel
An investigation into GitHub's "fake star economy" reveals that millions of stars are purchased for as little as $0.03 to inflate project popularity, a practice used by startups to deceive venture capitalists and potentially violating FTC and SEC regulations. [src]
Commenters largely criticize venture capitalists for using GitHub stars as an investment metric, arguing that it reflects a "gambling" mindset where stars serve as a lazy proxy for future hype rather than technical excellence [0][1][6]. While some developers use star counts as a quick heuristic to gauge project popularity or avoid "dependency confusion" attacks [5][8], others argue that stars are easily gamed and far less reliable than metrics like commit frequency, issue management, and code quality [2][3][7]. There is a strong consensus that once a metric like stars becomes a target for manipulation, it loses its value as a measure of quality, leading to calls for platforms like GitHub to crack down on fraudulent activity [7][9].
3. Acetaminophen vs. ibuprofen (asteriskmag.com)
699 points · 479 comments · by nkurz
While acetaminophen carries a higher risk of fatal overdose due to its narrow therapeutic window, it is generally safer than ibuprofen for most people because it avoids the gastrointestinal, cardiovascular, and renal risks associated with NSAIDs when used as directed. [src]
The discussion highlights a regional divide in medical guidance, with European sources often recommending acetaminophen as the default for pain while warning that ibuprofen can cause issues like acid reflux [0][9]. However, experts emphasize that acetaminophen has a dangerously low overdose threshold—potentially fatal at just 10g or 20 tablets—leading some to advocate for strict dosage logging and blister pack regulations to prevent liver failure [1][4][5]. While some users argue pain should be listened to as a biological signal rather than suppressed, others counter that the body's pain responses are often irrational products of evolution rather than perfect diagnostic tools [2][8]. Ultimately, medical professionals warn that biology is too complex to reason about from first principles, urging patients to consult experts rather than relying on intuitive logic [7].
4. Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving (qwen.ai)
704 points · 377 comments · by mfiguiere
Alibaba Cloud has released Qwen3.6-Max-Preview, a proprietary model featuring significant advancements in agentic coding, world knowledge, and instruction following compared to its predecessor, Qwen3.6-Plus. [src]
The release of Qwen3.6-Max-Preview has sparked debate over the utility of benchmarks versus real-world performance, with some users arguing that "State of the Art" (SOTA) rankings matter less than a model's specific strengths for tasks like coding or following documentation [0][2]. While some developers prioritize the highest-performing models regardless of cost, others find value in cheaper, high-limit alternatives like MiniMax for daily workflows [4][8]. There is significant skepticism regarding the comparison metrics used, specifically the omission of current OpenAI models and the use of older versions of Claude as baselines [3][6]. Furthermore, users expressed concern over a shifting trend where Chinese providers are increasingly keeping models proprietary and raising prices, leading to discussions about the geopolitical motivations behind state-sponsored AI development [1][7][9].
5. Kimi K2.6: Advancing open-source coding (kimi.com)
709 points · 371 comments · by meetpateltech
Moonshot AI has released Kimi K2.6, an open-source model featuring state-of-the-art coding, long-horizon execution, and advanced agent swarm capabilities. The model demonstrates significant improvements in autonomous engineering tasks, multi-agent coordination of up to 300 sub-agents, and proactive system operations across complex, multi-day workflows. [src]
The release of Kimi K2.6 has sparked comparisons to DeepSeek, with users suggesting Chinese AI is now reaching parity with state-of-the-art US models in terms of coding and creativity [4][5]. Commenters noted a shift in innovation dynamics, highlighting how Chinese firms are increasingly leveraging open-source strategies while US labs remain more closed [0][2]. However, significant discussion focused on the model's strict political censorship regarding sensitive topics like Tiananmen Square, though users found they could bypass these guardrails using techniques like base64 encoding [3][7][9].
6. At long last, InfoWars is ours (theonion.com)
653 points · 300 comments · by HotGarbage
The Onion’s parent company, Global Tetrahedron, has finalized its acquisition of InfoWars, with CEO Bryce P. Tetraeder announcing plans to transform the site into a "swirling vortex" of misinformation, scams, and psychological torture. [src]
While *The Onion* has announced its takeover of InfoWars, the deal remains in legal limbo pending approval from a Texas judge for a new $81,000-per-month licensing agreement [0][1]. Creative plans involve hiring comedian Tim Heidecker to parody Alex Jones before transitioning the site into an experimental comedy hub, though some users question the value of associating with such "toxic waste" IP [2][4][7]. Debate persists regarding the fairness of the underlying legal judgments, with some arguing the penalties are a reasonable response to years of harassment and others claiming they are unconstitutionally punitive [6][8][9].
7. NSA is using Anthropic's Mythos despite blacklist (axios.com)
484 points · 345 comments · by Palmik
The National Security Agency is reportedly using Anthropic’s powerful Mythos Preview model for cybersecurity purposes despite the Department of Defense blacklisting the company as a "supply chain risk" following a dispute over usage restrictions. [src]
Commenters suggest that Anthropic’s strategy of creating "artificial scarcity" around models like Mythos effectively forced the U.S. government into a "lose-lose" position regarding its own blacklist [0][6]. While some view the NSA's use of the tool as an expected acquisition of a powerful "weapon," others see it as a display of administrative hypocrisy and an alarming step toward a surveillance state [3][4][7]. There is significant skepticism regarding whether these models are truly dangerous or if the companies are simply "crying wolf" to generate hype [6].
8. AI Resistance: some recent anti-AI stuff that’s worth discussing (stephvee.ca)
387 points · 418 comments · by speckx
The provided link is inaccessible due to a security block, preventing a summary of the specific article's content. [src]
The discussion highlights a sharp divide between those who view AI as a tool for liberation from labor and those who fear it will entrench corporate power while stripping workers of their leverage [1][8][9]. While some users dismiss anti-AI "poisoning" efforts as technically illiterate or futile given the vast amount of existing clean data, others find the computer science behind such attacks genuinely interesting regardless of the underlying cause [0][2][4]. Commenters also noted a historical shift in hacker culture, moving from the "information wants to be free" ethos of the DRM era to a modern focus on ethical data sourcing and digital property rights [3].
9. Making RAM at Home [video] (youtube.com)
625 points · 179 comments · by kaipereira
This YouTube video demonstrates the process of manufacturing random-access memory (RAM) in a home setting. [src]
The community is highly impressed by the technical feat of building a functional clean room and manufacturing semiconductors in a backyard shed [1][2]. While some users question why more companies don't enter the market this way, others warn that the process involves extremely lethal chemicals like phosphine gas and hydrofluoric acid that make DIY fabrication incredibly dangerous [3][5]. The discussion also highlights the project as a perfect example of "news for nerds," showcasing that high-quality, niche engineering content can still thrive on platforms like YouTube [6][7].
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