Rigorous is an open-source, AI-powered tool for analyzing scientific manuscripts. It uses a multi-agent system, where each agent specializes in a different aspect of review, like methodology, novelty, or clarity. These agents collaborate to provide a comprehensive and nuanced evaluation of the paper, offering feedback similar to a human peer review. The goal is to help researchers improve their work before formal submission, identifying potential weaknesses and highlighting areas for improvement. Rigorous is built on large language models and can be run locally, ensuring privacy and control over sensitive research data.
The CNN article argues that the proclaimed "white-collar bloodbath" due to AI is overblown and fueled by hype. While acknowledging AI's potential to automate certain tasks and impact some jobs, the article emphasizes that Dario Amodei, CEO of Anthropic, believes AI's primary role will be to augment human work rather than replace it entirely. Amodei suggests the focus should be on responsibly integrating AI to improve productivity and create new opportunities, rather than succumbing to fear-mongering narratives about mass unemployment. The article also highlights the current limitations of AI and the continued need for human skills like critical thinking and creativity.
HN commenters are largely skeptical of the "white-collar bloodbath" narrative surrounding AI. Several point out that previous technological advancements haven't led to widespread unemployment, arguing that AI will likely create new jobs and transform existing ones rather than simply eliminating them. Some suggest the hype is driven by vested interests, like AI companies seeking investment or media outlets looking for clicks. Others highlight the current limitations of AI, emphasizing its inability to handle complex tasks requiring human judgment and creativity. A few commenters agree that some jobs are at risk, particularly those involving repetitive tasks, but disagree with the alarmist tone of the article. There's also discussion about the potential for AI to improve productivity and free up humans for more meaningful work.
Cory Doctorow's "Revenge of the Chickenized Reverse-Centaurs" argues that tech companies, driven by venture capital's demand for exponential growth, prioritize exploitative business models. They achieve this "growth" by externalizing costs onto society and vulnerable workers, like gig economy drivers or content moderators. This creates a system akin to "reverse-centaurs," where a powerful, automated system is directed by a precarious, dehumanized human worker, a dynamic exemplified by Uber's treatment of its drivers. Doctorow further likens this to the exploitative practices of the poultry industry, where chickens are bred and treated for maximum profit regardless of animal welfare, thus "chickenizing" these workers. Ultimately, he calls for regulatory intervention and collective action to dismantle these harmful systems before they further erode social structures and individual well-being.
HN commenters largely agree with Doctorow's premise that over-reliance on automated systems leads to deskilling and vulnerability. Several highlight examples of this phenomenon, such as pilots losing basic stick-and-rudder skills due to autopilot overuse and the fragility of just-in-time supply chains. Some discuss the trade-off between efficiency and resilience, arguing that systems designed for maximum efficiency often lack the flexibility to adapt to unexpected circumstances. Others point out the potential for "automation surprises," where automated systems behave in unexpected ways, and the difficulty of intervening when things go wrong. A few commenters offer solutions, such as designing systems that allow for human intervention and prioritizing training and skill development, even in highly automated environments.
Japan Post has launched a free "digital address" system assigning a unique 13-digit code to every location in Japan, including individual apartments and building floors. This system aims to simplify deliveries and other location-based services, especially in areas with complex or non-standard addresses. Users can obtain their digital address via a website or app, and businesses can integrate the system into their services. The goal is to improve logistics efficiency and potentially support autonomous delivery robots and drones in the future.
HN commenters are largely skeptical of Japan Post's new digital address system. Many see it as a solution in search of a problem, questioning the need for another addressing system when physical addresses and GPS coordinates already exist. Some suspect ulterior motives, suggesting Japan Post is trying to create a proprietary system to maintain relevance or gather data. The complexity of the system, requiring users to generate and manage 12-digit codes, is also criticized. A few commenters mention similar systems in other countries, noting varying degrees of success and adoption. Overall, the sentiment is that this system is unlikely to gain widespread traction due to its perceived redundancy and inconvenience.
xAI will invest $300 million in Telegram to integrate its Grok AI chatbot into the messaging app. This partnership will give Telegram's 800 million users access to Grok, which boasts real-time information access and a humorous personality. The deal also involves revenue sharing on future Grok subscriptions sold through Telegram. This marks a significant expansion for xAI and positions Grok as a direct competitor to other in-app AI assistants.
HN commenters are skeptical of the deal, questioning the actual amount invested, its purpose, and its potential impact. Some believe the $300M figure is inflated for publicity, possibly representing a loan disguised as an investment or a value tied to future ad revenue sharing. Others speculate about X's motives, suggesting it's a move to gain access to Telegram's user base for training Grok or to compete with other AI chatbots integrated into messaging apps. Several users highlight Telegram's existing financial stability, questioning the need for such a large investment. Concerns are also raised about potential conflicts of interest, given Elon Musk's ownership of both X and XAI, and the impact Grok integration might have on Telegram's privacy and functionality. A few commenters expressed interest in the potential benefits of having an AI assistant within Telegram, but overall sentiment leans toward skepticism and apprehension.
Researchers have developed a method to generate sound directly from OLED displays, eliminating the need for traditional speakers. By vibrating specific areas of the display panel, they create audible sound waves. This technology allows for thinner devices, multi-channel audio output (like surround sound), and potentially invisible, integrated speakers within the screen itself. The approach utilizes the inherent flexibility and responsiveness of OLED materials, making it a promising advancement in audio-visual integration.
Hacker News users discussed the potential applications and limitations of the new OLED-based audio technology. Some expressed excitement about its use in AR/VR headsets, transparent displays, and automotive applications, praising the elimination of bezels and improved immersion. Others were more skeptical, questioning the audio quality compared to traditional speakers, especially regarding bass response and maximum volume. Concerns about cost and longevity were also raised, with some speculating about the potential for burn-in issues similar to those experienced with OLED screens. Several commenters also pointed out the technology's similarity to bone conduction headphones, noting potential advantages in noise isolation and directional audio. Finally, a few users mentioned existing piezo-based solutions for thin displays and wondered how this new technology compared.
Researchers at the University of Arizona have developed a phototransistor capable of operating at petahertz speeds under ambient conditions. This breakthrough utilizes a unique semimetal material and a novel design exploiting light-matter interactions to achieve unprecedented switching speeds. This advancement could revolutionize electronics, enabling significantly faster computing and communication technologies in the future.
Hacker News users discuss the potential impact and feasibility of a petahertz transistor. Some express skepticism about the claims, questioning if the device truly functions as a transistor and highlighting the difference between demonstrating light modulation at petahertz frequencies and creating a usable electronic switch. Others discuss the challenges of integrating such a device into existing technology, citing the need for equally fast supporting components and the difficulty of generating and controlling signals at these frequencies. Despite the skepticism, there's general excitement about the potential of such a breakthrough, with discussions ranging from potential applications in communication and computing to its implications for fundamental scientific research. Some users also point out the ambiguity around "ambient conditions," speculating about the true operating environment. Finally, a few comments provide further context by linking to related research and patents.
The author anticipates a growing societal backlash against AI, driven by job displacement, misinformation, and concentration of power. While acknowledging current anxieties are mostly online, they predict this discontent could escalate into real-world protests and activism, similar to historical movements against technological advancements. The potential for AI to exacerbate existing inequalities and create new forms of exploitation is highlighted as a key driver for this potential unrest. The author ultimately questions whether this backlash will be channeled constructively towards regulation and ethical development or devolve into unproductive fear and resistance.
HN users discuss the potential for AI backlash to move beyond online grumbling and into real-world action. Some doubt significant real-world impact, citing historical parallels like anxieties around automation and GMOs, which didn't lead to widespread unrest. Others suggest that AI's rapid advancement and broader impact on creative fields could spark different reactions. Concerns were raised about the potential for AI to exacerbate existing social and economic inequalities, potentially leading to protests or even violence. The potential for misuse of AI-generated content to manipulate public opinion and influence elections is another worry, though some argue current regulations and public awareness may mitigate this. A few comments speculate about specific forms a backlash could take, like boycotts of AI-generated content or targeted actions against companies perceived as exploiting AI.
The blog post explores the philosophical themes of Heidegger's "The Question Concerning Technology" through the lens of the anime Neon Genesis Evangelion. It argues that the show depicts humanity's technological enframing, where technology becomes the dominant mode of understanding and interacting with the world, ultimately alienating us from ourselves and nature. The Angels, representing the non-human and incomprehensible, force humanity to confront this enframing through the Evangelions, which themselves are technological instruments of control. This struggle culminates in Instrumentality, a merging of consciousness meant to escape the perceived pain of individual existence, mirroring Heidegger's concern about technology's potential to erase individuality and authentic being. Evangelion, therefore, serves as a potent illustration of the dangers inherent in unchecked technological advancement and its potential to distort our relationship with the world and each other.
Hacker News users discussed the connection between AI, Heidegger's philosophy, and the anime Neon Genesis Evangelion. Several commenters appreciated the essay's exploration of instrumentality, the nature of being, and how these themes are presented in the show. Some pointed out that the article effectively explained complex philosophical concepts in an accessible way, using Evangelion as a relatable lens. A few found the analysis insightful, particularly regarding the portrayal of the human condition and the characters' struggles with their existence. However, some criticized the essay for being somewhat superficial or for not fully capturing the nuances of Heidegger's thought. There was also discussion about the nature of consciousness and whether AI could ever truly achieve it, referencing different philosophical perspectives.
The IEEE Spectrum article explores do-it-yourself methods to combat cybersickness, the nausea and disorientation experienced in virtual reality. It highlights the mismatch between visual and vestibular (inner ear) cues as the root cause. Suggested remedies include matching in-game movements with real-world actions, widening the field of view, reducing latency, stabilizing the horizon, and taking breaks. The article also discusses software solutions like reducing peripheral vision and adding a fixed nose point, as well as physical aids like ginger and wristbands stimulating the P6 acupuncture point. While scientific backing for some methods is limited, the article offers a range of potential solutions for users to experiment with and find what works best for them.
HN commenters generally agree that cybersickness is a real and sometimes debilitating issue. Several suggest physical remedies like ginger or Dramamine, while others focus on software and hardware solutions. A common thread is matching the in-game FOV to the user's real-world peripheral vision, and minimizing latency. Some users have found success with specific VR games or headsets that prioritize these factors. A few commenters mention the potential for VR sickness to lessen with continued exposure, a sort of "VR legs" phenomenon, but there's disagreement on its effectiveness. Overall, the discussion highlights a variety of potential solutions, from simple home remedies to more technical approaches.
To prevent cows from falling into a river and polluting it with their waste, a farmer in Devon, England, has fitted his herd with GPS collars. This technology creates a virtual fence, emitting an audio signal when a cow approaches the riverbank. If the cow continues, it receives a mild electric pulse. This system aims to protect both the cows and the water quality, eliminating the need for traditional fencing which can be expensive and difficult to maintain in the river valley.
Several commenters on Hacker News questioned the practicality and cost-effectiveness of GPS collars for cows, suggesting simpler solutions like fences. Some highlighted the potential for unintended consequences, such as cows getting stuck in difficult terrain after relying on GPS. Others discussed the broader issue of tracking animals, raising concerns about data privacy and potential misuse. A few pointed out the existing use of GPS in farming, particularly for larger herds, and suggested the BBC article oversimplified the situation. There was also skepticism about the claimed cost savings from preventing cow drownings, with some arguing the collars were likely part of a larger data-gathering project.
The PC-98, a Japanese personal computer dominant throughout the 80s and 90s, fostered a unique and isolated software ecosystem. Its high resolution graphics, driven by the needs of Japanese text display, and proprietary architecture resulted in a wealth of distinctive games and applications rarely seen elsewhere. While expensive compared to IBM compatibles, its popularity in Japan stemmed from early adoption by businesses and a snowballing effect of software development tailored specifically to its hardware. This created a closed-loop system where the PC-98 thrived, insulated from the global PC market, eventually giving way to more standardized platforms in the late 90s. Its legacy, however, remains a fascinating example of a parallel computing world.
Hacker News users discuss the unique characteristics of Japan's PC-98, praising its high-quality sound and graphics for its time. Several commenters reminisce about using the platform, highlighting specific games and the distinct experience of Japanese computing culture during that era. Some lament the lack of PC-98 emulation options compared to other retro platforms, citing technical challenges in accurately replicating the system's intricacies. Others delve into the technical specifications, explaining the reasons behind the platform's isolation and the challenges it posed for international developers. The discussion also touches on the eventual decline of the PC-98, attributing it to the rising popularity of IBM PC compatibles and Windows 95. Several users shared links to relevant resources like emulators, ROM archives, and technical documentation for those interested in exploring the PC-98 further.
The Internet Archive has launched a 24/7 livestream showcasing its document preservation process. Viewers can watch in real time as microfiche and microfilm are digitally converted, accompanied by a lo-fi hip-hop soundtrack. This offers a behind-the-scenes look at the Archive's efforts to make historical documents accessible online.
Hacker News users generally found the Internet Archive's microfiche live stream charming and quirky. Several commenters appreciated the "lo-fi beats to relax/study to" vibe, with some joking about its ASMR qualities or its potential as a screensaver. Others expressed genuine interest in the archival process itself, appreciating the transparency and the glimpse into a less-digital world. A few users pointed out the inefficiency of the scanning process, leading to a discussion about the trade-offs between speed and quality in preservation efforts. One commenter suggested the stream offered a counterpoint to the fast-paced nature of the modern internet, finding it calming and meditative.
Researchers have developed contact lenses embedded with graphene photodetectors that enable a rudimentary form of vision in darkness. These lenses detect a broader spectrum of light, including infrared, which is invisible to the naked eye. While not providing full "sight" in the traditional sense, the lenses register light differences and translate them into perceivable signals, potentially allowing wearers to detect shapes and movement in low-light or no-light conditions. The technology is still in its early stages, demonstrating proof-of-concept rather than a refined, practical application.
Hacker News users expressed skepticism about the "seeing in the dark" claim, pointing out that the contacts amplify existing light rather than enabling true night vision. Several commenters questioned the practicality and safety of the technology, citing potential eye damage from infrared lasers and the limited field of view. Some discussed the distinction between active and passive infrared systems, and the potential military applications of similar technology. Others noted the low resolution and grainy images produced, suggesting its usefulness is currently limited. The overall sentiment leaned toward cautious interest with a dose of pragmatism.
Training large AI models like those used for generative AI consumes significant energy, rivaling the power demands of small countries. While the exact energy footprint remains difficult to calculate due to companies' reluctance to disclose data, estimates suggest training a single large language model can emit as much carbon dioxide as hundreds of cars over their lifetimes. This energy consumption primarily stems from the computational power required for training and inference, and is expected to increase as AI models become more complex and data-intensive. While efforts to improve efficiency are underway, the growing demand for AI raises concerns about its environmental impact and the need for greater transparency and sustainable practices within the industry.
HN commenters discuss the energy consumption of AI, expressing skepticism about the article's claims and methodology. Several users point out the lack of specific data and the difficulty of accurately measuring AI's energy usage separate from overall data center consumption. Some suggest the focus should be on the net impact, considering potential energy savings AI could enable in other sectors. Others question the framing of AI as uniquely problematic, comparing it to other energy-intensive activities like Bitcoin mining or video streaming. A few commenters call for more transparency and better metrics from AI developers, while others dismiss the concerns as premature or overblown, arguing that efficiency improvements will likely outpace growth in compute demands.
The author, initially enthusiastic about AI's potential to revolutionize scientific discovery, realized that current AI/ML tools are primarily useful for accelerating specific, well-defined tasks within existing scientific workflows, rather than driving paradigm shifts or independently generating novel hypotheses. While AI excels at tasks like optimizing experiments or analyzing large datasets, its dependence on existing data and human-defined parameters limits its capacity for true scientific creativity. The author concludes that focusing on augmenting scientists with these powerful tools, rather than replacing them, is a more realistic and beneficial approach, acknowledging that genuine scientific breakthroughs still rely heavily on human intuition and expertise.
Several commenters on Hacker News agreed with the author's sentiment about the hype surrounding AI in science, pointing out that the "low-hanging fruit" has already been plucked and that significant advancements are becoming increasingly difficult. Some highlighted the importance of domain expertise and the limitations of relying solely on AI, emphasizing that AI should be a tool used by experts rather than a replacement for them. Others discussed the issue of reproducibility and the "black box" nature of some AI models, making scientific validation challenging. A few commenters offered alternative perspectives, suggesting that AI still holds potential but requires more realistic expectations and a focus on specific, well-defined problems. The misleading nature of visualizations generated by AI was also a point of concern, with commenters noting the potential for misinterpretations and the need for careful validation.
RemoteSWE.fyi is a job board aggregator specifically designed to showcase high-paying remote software engineering jobs within the United States. It gathers listings from various sources and filters them to present only those with explicitly stated or reasonably inferred high salaries. The site aims to simplify the job search for senior-level software engineers seeking remote opportunities by presenting a curated selection of well-compensated positions.
Hacker News users discussed the filtering and search functionality of the job board aggregator, with some finding the "US Only" filter too limiting and suggesting expansion to other countries. Several commenters questioned the accuracy and freshness of the salary data, expressing concerns about outdated or misleading figures. Others pointed out the prevalence of contract roles in the listings and wished for more permanent positions. A few users also suggested improvements to the UI, such as infinite scrolling and better categorization of roles. The overall sentiment was mixed, with some appreciating the effort while others highlighting areas for improvement.
France has officially endorsed the UN's open source principles, recognizing the importance of open source software for achieving sustainable development goals. The French government believes open source fosters collaboration, transparency, and inclusivity, ultimately benefiting citizens by providing more efficient and adaptable digital public services. This endorsement reinforces France's commitment to promoting open source within its own administration and internationally.
HN commenters generally support France's endorsement of the UN's open source principles, viewing it as a positive step towards greater adoption of open source software in government. Some express skepticism about the practical impact, noting that endorsements don't necessarily translate to action. A few commenters discuss the potential benefits of open source, including increased transparency, security, and cost savings. Others raise concerns about sustainability and the potential for "openwashing," where organizations claim to support open source without genuinely contributing. One commenter highlights the importance of government support for creating a thriving open source ecosystem, while another points out the role of public money in funding open source projects and the need for reciprocity.
InventWood, a company spun out of the University of Maryland, is preparing to mass-produce a densified wood product that boasts strength comparable to steel and alloys like titanium, while being significantly lighter. Their process removes lignin, compresses the wood, and then chemically treats it for durability. This engineered wood is aimed at replacing traditional materials in various applications like cars, airplanes, and consumer electronics, offering a sustainable and high-performance alternative. InventWood has secured $20 million in funding and plans to open its first factory later this year, scaling production to meet anticipated demand.
Hacker News commenters express significant skepticism regarding InventWood's claims of producing wood stronger than steel, particularly at scale. Several point out the lack of publicly available data and peer-reviewed studies to substantiate such extraordinary claims. The discussion highlights the difference between ultimate tensile strength and specific strength (strength relative to density), questioning whether the comparison to steel is even relevant given likely density differences. Commenters also raise concerns about the environmental impact of the process, the long-term durability of the modified wood, and the actual cost compared to existing materials. Some suggest the technology may have niche applications but are doubtful about widespread replacement of steel. Several users call for more transparency and data before accepting the claims as credible.
GPS is increasingly vulnerable to interference, both intentional and unintentional, posing a significant risk to critical infrastructure reliant on precise positioning, navigation, and timing (PNT). While GPS is ubiquitous and highly beneficial, its inherent weaknesses, including low signal power and lack of authentication, make it susceptible to jamming and spoofing. The article argues for bolstering GPS resilience through various methods such as signal authentication, interference detection and mitigation technologies, and promoting alternative PNT systems and backup capabilities like eLoran. Without these improvements, GPS risks being degraded or even rendered unusable in critical situations, potentially impacting aviation, maritime navigation, financial transactions, and other vital sectors.
HN commenters largely agree that GPS is vulnerable to interference, both intentional and unintentional. Some highlight the importance of alternative positioning systems like Galileo, Beidou, and GLONASS, as well as inertial navigation for resilience. Others point out the practicality issues of backup systems like Loran-C due to cost and infrastructure requirements. Several comments emphasize the need for robust electronic warfare protection and redundancy in critical systems relying on GPS. A few discuss the potential for improved signal authentication and anti-spoofing measures. The real-world impacts of GPS disruption, such as on financial transactions and emergency services, are also noted as compelling reasons to address these vulnerabilities.
Swiss-based privacy-focused company Proton, known for its VPN and encrypted email services, is considering leaving Switzerland due to a new surveillance law. The law grants the Swiss government expanded powers to spy on individuals and companies, requiring service providers like Proton to hand over user data in certain circumstances. Proton argues this compromises their core mission of user privacy and confidentiality, potentially making them "less confidential than Google," and is exploring relocation to a jurisdiction with stronger privacy protections.
Hacker News users discuss Proton's potential departure from Switzerland due to new surveillance laws. Several commenters express skepticism of Proton's claims, suggesting the move is motivated more by marketing than genuine concern for user privacy. Some argue that Switzerland is still more privacy-respecting than many other countries, questioning whether a move would genuinely benefit users. Others point out the complexities of running a secure email service, noting the challenges of balancing user privacy with legal obligations and the potential for abuse. A few commenters mention alternative providers and the increasing difficulty of finding truly private communication platforms. The discussion also touches upon the practicalities of relocating a company of Proton's size and the potential impact on its existing infrastructure and workforce.
Rob Horning's "Font Activations" explores how fonts, beyond mere aesthetic choices, function as active agents shaping our perception of text. He argues that fonts carry cultural baggage and evoke specific associations, influencing how we interpret and react to the written word. This "activation" occurs subconsciously, subtly coloring our understanding of the content. Horning posits that in the digital age, with the proliferation of easily accessible fonts, their impact is amplified, turning font selection into a performative act, reflecting both individual expression and broader cultural trends. This performativity is further heightened by the increasing commodification of fonts, blurring the lines between aesthetics and marketing.
HN commenters largely found the original article's concept of "font activation" pretentious and overwrought. Several mocked the academic tone and perceived lack of substance, comparing it unfavorably to corporate marketing jargon. Some suggested the author was attempting to create artificial scarcity around readily available fonts. A few commenters questioned the connection between fonts and broader societal issues, dismissing the idea that font choices hold significant cultural meaning. One commenter more charitably interpreted "font activation" as acknowledging the emotional and aesthetic impact of typefaces, while another suggested it was simply a playful way of describing font selection. Overall, the reception was highly skeptical.
Uber is launching fixed-route shared shuttles in major US cities to address rising ride-hailing costs and provide a more affordable transit option. These shuttles will operate on predetermined routes and schedules, similar to a bus service, allowing riders to book seats in advance. This move aims to bridge the gap between Uber's on-demand services and public transportation, offering a cost-effective solution for commuters while increasing vehicle occupancy and potentially easing traffic congestion. The company is also exploring other cost-saving measures, including improved carpooling features.
Hacker News users discuss Uber's move towards fixed-route shuttles with skepticism and comparisons to existing public transit. Many see this as a regression, arguing that Uber and other ride-sharing services initially pitched themselves as a replacement for fixed routes, only to now attempt to replicate a system they aimed to disrupt. Some question the viability of private companies efficiently running public transit, citing potential issues with profitability and service reliability. Others suggest this move is a tacit admission that the original ride-sharing model isn't economically sustainable in the long run. Several commenters point to the inherent advantages of existing, heavily subsidized public transit systems, while some see Uber's move as a potential positive if it can integrate effectively with existing infrastructure. The overall sentiment leans towards doubt about Uber's ability to execute this effectively and economically.
The author experimented with coding solely on AR glasses and a Linux environment running on their Android phone for two weeks. They used Nreal Air glasses for display, a Bluetooth keyboard and mouse, and Termux to access a Debian Linux environment on their phone. While acknowledging the setup's limitations like narrow field of view, software quirks, and occasional performance issues, they found the experience surprisingly usable for tasks like web development and sysadmin work. The portability and always-available nature of this mobile coding setup proved appealing, offering a glimpse into a potential future of computing. Despite the current drawbacks, the author believes this kind of mobile, glasses-based setup holds promise for becoming a genuinely productive work environment.
Hacker News commenters generally expressed skepticism about the practicality of the setup described in the article. Several pointed out the limitations of current AR glasses, including battery life, field of view, and input methods. Some questioned the real-world benefits over existing solutions like a lightweight laptop or tablet, particularly given the added complexity. Others highlighted the potential for distraction and social awkwardness. A few commenters expressed interest in the concept but acknowledged the technology isn't quite ready for prime time. Some discussed alternative approaches like using VNC or a lightweight desktop environment. The lack of details about the author's actual workflow and the types of tasks performed also drew criticism.
SMS-based two-factor authentication (2FA) is unreliable and discriminatory against people living in mountainous regions. Inconsistent cell service in these areas makes receiving SMS messages for authentication difficult or impossible, effectively excluding them from online services that rely on this method. While SMS 2FA offers a perceived improvement over no 2FA, it presents a false sense of security given its vulnerability to SIM swapping and other attacks. More robust alternatives like authenticator apps or hardware tokens offer better security and accessibility for everyone, including those in areas with poor cell reception. The author, a mountain resident, highlights the real-world consequences of this digital divide and argues for wider adoption of superior 2FA methods.
HN commenters largely agree with the author's premise that SMS 2FA is problematic for people in areas with poor cell reception, highlighting similar experiences in rural areas, on boats, or during travel. Some suggest alternative 2FA methods like hardware tokens or authenticator apps, acknowledging their own challenges related to lost devices or complex setup. Others discuss the security flaws inherent in SMS 2FA, mentioning SIM swapping and SS7 attacks. A few commenters push back, arguing that SMS 2FA is still better than nothing and that the author's situation represents an edge case. The trade-off between security and accessibility is a recurring theme in the discussion.
A new bicycle-mounted sensor called Proxicycle aims to improve the mapping of safe cycling routes. It uses ultrasonic sensors to detect passing vehicles and their proximity, collecting data on near-miss incidents and overall road safety for cyclists. This data can then be aggregated and shared with city planners and cycling advocacy groups to inform infrastructure improvements, advocate for safer road design, and ultimately create more cyclist-friendly environments. Proxicycle's goal is to provide a more comprehensive and data-driven approach to identifying dangerous areas and promoting evidence-based solutions for cycling safety.
Hacker News users discussed the practicality and potential impact of the Proxicycle sensor. Several commenters were skeptical of its ability to accurately assess safety, pointing out that near misses wouldn't be registered and that subjective perceptions of safety vary widely. Some suggested existing apps like Strava already provide similar crowd-sourced data, while others questioned the sensor's robustness and the potential for misuse or manipulation of the data. The idea of using the data to advocate for cycling infrastructure improvements was generally well-received, though some doubted its effectiveness. A few commenters expressed interest in the open-source nature of the project and the possibility of using the data for other purposes like route planning. Overall, the comments leaned towards cautious optimism tempered by practical concerns.
Arm's latest financial results reveal substantial growth, largely attributed to the success of its Armv9 architecture. Increased royalty revenue reflects wider adoption of Armv9 designs in premium smartphones and infrastructure equipment. While licensing revenue slightly declined, the overall positive performance underscores the growing demand for Arm's technology in key markets, especially as Armv9 enables advancements in areas like AI and specialized processing. This success reinforces Arm's strong market position as it prepares for its upcoming IPO.
Hacker News users discuss ARM's financial success, attributing it to the broader trend of increasing compute needs rather than any specific innovation in ARMv9. Several commenters point out that the v9 architecture itself hasn't delivered significant improvements and question its actual impact. Some highlight the licensing model as the key driver of ARM's profitability, with the suggestion that ARM's value lies in its ecosystem and established position rather than groundbreaking technical advancements. A recurring theme is skepticism towards the claimed benefits of ARMv9, with commenters expressing that it feels more like a marketing push than a substantial architectural leap.
Choosing the right chip is crucial for building a smartwatch. This post explores key considerations like power consumption, processing power, integrated peripherals (like Bluetooth and GPS), and cost. It emphasizes the importance of balancing performance with battery life, highlighting low-power architectures like ARM Cortex-M series and dedicated real-time operating systems (RTOS). The post also discusses the complexities of integrating various sensors and communication protocols, and suggests considering pre-certified modules to simplify development. Ultimately, the ideal chip depends on the specific features and target price point of the smartwatch.
The Hacker News comments discuss the challenges of smartwatch development, particularly around battery life and performance trade-offs. Several commenters point out the difficulty in finding a suitable balance between power consumption and processing power for a wearable device. Some suggest that the author's choice of the RP2040 might be underpowered for a truly "smart" watch experience, while others appreciate the focus on lower power consumption for extended battery life. There's also discussion of alternative chips and development platforms like the nRF52 series and PineTime, as well as the complexities of software development and UI design for such a constrained environment. A few commenters express skepticism about building a smartwatch from scratch, citing the significant engineering hurdles involved, while others encourage the author's endeavor.
A new study suggests remote workers are indeed more likely to launch their own businesses. Researchers found that the rise in remote work during and after the pandemic correlated with a significant increase in new business applications, particularly among those who shifted to working from home. This supports the concerns of some employers that remote work could lead to more employees branching out on their own. The study controlled for various factors, including pre-existing entrepreneurial tendencies and local economic conditions, to isolate the impact of remote work itself.
HN commenters generally agree with the article's premise that remote work facilitates starting a business. Several point out that decreased commute times free up significant time and energy, making side hustles and entrepreneurial pursuits more feasible. Some highlight the reduced risk associated with starting a business while maintaining a stable remote job as a safety net. Others mention the increased exposure to diverse ideas and opportunities online as a contributing factor. A few skeptical comments suggest that correlation doesn't equal causation, proposing alternative explanations like a general increase in entrepreneurial interest or the pandemic's impact on the job market. One commenter notes the potential downsides, like increased competition for existing businesses.
John Carmack argues that the relentless push for new hardware is often unnecessary. He believes software optimization is a significantly undervalued practice and that with proper attention to efficiency, older hardware could easily handle most tasks. This focus on hardware upgrades creates a wasteful cycle of obsolescence, contributing to e-waste and forcing users into unnecessary expenses. He asserts that prioritizing performance optimization in software development would not only extend the lifespan of existing devices but also lead to a more sustainable and cost-effective tech ecosystem overall.
HN users largely agree with Carmack's sentiment that software bloat is a significant problem leading to unnecessary hardware upgrades. Several commenters point to specific examples of software becoming slower over time, citing web browsers, Electron apps, and the increasing reliance on JavaScript frameworks. Some suggest that the economics of software development, including planned obsolescence and the abundance of cheap hardware, disincentivize optimization. Others discuss the difficulty of optimization, highlighting the complexity of modern software and the trade-offs between performance, features, and development time. A few dissenting opinions argue that hardware advancements drive progress and enable new possibilities, making optimization a less critical concern. Overall, the discussion revolves around the balance between performance and progress, with many lamenting the lost art of efficient coding.
Summary of Comments ( 65 )
https://news.ycombinator.com/item?id=44144280
HN commenters generally expressed skepticism about the AI peer reviewer's current capabilities and its potential impact. Some questioned the ability of LLMs to truly understand the nuances of scientific research and methodology, suggesting they might excel at surface-level analysis but miss deeper flaws or novel insights. Others worried about the potential for reinforcing existing biases in scientific literature and the risk of over-reliance on automated tools leading to a decline in critical thinking skills among researchers. However, some saw potential in using AI for tasks like initial screening, identifying relevant prior work, and assisting with stylistic improvements, while emphasizing the continued importance of human oversight. A few commenters highlighted the ethical implications of using AI in peer review, including issues of transparency, accountability, and potential misuse. The core concern seems to be that while AI might assist in certain aspects of peer review, it is far from ready to replace human judgment and expertise.
The Hacker News post discussing the "AI Peer Reviewer" project generates a moderate amount of discussion, mostly focused on the limitations and potential pitfalls of using AI in such a nuanced task. No one outright praises the project without caveats.
Several commenters express skepticism about the current capabilities of AI to truly understand and evaluate scientific work. One user points out the difficulty AI has with evaluating novelty and significance, which are crucial aspects of peer review. They argue that current AI models primarily excel at pattern recognition and lack the deeper understanding required to judge the scientific merit of a manuscript. This sentiment is echoed by another user who suggests the system might be better suited for identifying plagiarism or formatting errors rather than providing substantive feedback.
Another thread of discussion centers around the potential for bias and manipulation. One commenter raises concerns about the possibility of "gaming" the system by tailoring manuscripts to the AI's preferences, leading to a homogenization of scientific research and potentially stifling innovation. Another user highlights the risk of perpetuating existing biases present in the training data, potentially leading to unfair or discriminatory outcomes.
The potential for misuse is also touched upon. One commenter expresses worry about the possibility of using such a system to generate fake reviews, further eroding trust in the peer review process. This concern is linked to broader anxieties about the ethical implications of AI in academia.
A more pragmatic comment suggests that the system could be useful for pre-review, allowing authors to identify potential weaknesses in their manuscript before submitting it for formal peer review. This view positions the AI tool as a supplementary aid rather than a replacement for human expertise.
Finally, there's a brief discussion about the open-source nature of the project. One user questions the practicality of open-sourcing such a system, given the potential for misuse. However, no strong arguments are made for or against open-sourcing in this context.
Overall, the comments reflect a cautious and critical perspective on the application of AI to peer review. While some see potential benefits, particularly in assisting human reviewers, the prevailing sentiment emphasizes the limitations of current AI technology and the potential risks associated with its implementation in such a critical aspect of scientific publishing.