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68

What is Binchotan Charcoal?

Introduction to Binchotan Charcoal

'a hand holding a black object'
title: 'Binchotan Charcoal' and caption: 'a hand holding a black object'

Binchotan charcoal, often referred to as Japanese white charcoal, is celebrated for its exceptional grilling properties and versatility in enhancing the flavor of various dishes. Originating from the Wakayama prefecture in Japan, particularly associated with the Kishu region, binchotan is crafted from ubame oak, which is known for its dense structure and high carbon content. Unlike standard charcoal, binchotan is characterized by its long-lasting burn, minimal smoke, and odorless qualities, making it a favorite among chefs and culinary experts worldwide.

Production Process

The production of binchotan involves a meticulous and labor-intensive process. First, the ubame oak wood is carefully gathered from challenging terrains and then placed in a traditional earthen kiln. The wood is heated for approximately seven to ten days at controlled temperatures. Initially, the kiln's temperature is maintained around 240°C (464°F) to remove moisture, followed by a significant increase to over 1,000°C (1,832°F) for carbonization. This process strips the wood of impurities and results in a charcoal product that is over 95% pure carbon[1][2][10].

Once carbonized, the charcoal is smothered with a mixture of ash, earth, and sand to extinguish any remaining fire, a step crucial to its unique whitish-gray appearance. This production technique is not only labor-intensive but also requires significant craftsmanship, contributing to the higher price point of binchotan compared to conventional charcoal options[5][4].

Characteristics and Benefits

High Carbon Content

One of the defining characteristics of binchotan is its high carbon purity, often reaching up to 96% in some types like Kishu binchotan[7]. This makes it a cleaner-burning option that produces minimal smoke and no unpleasant odors, allowing the natural flavors of grilled foods to shine through. Chefs claim that binchotan allows for a more authentic taste, especially when cooking traditional Japanese dishes such as yakitori (grilled chicken skewers) and unagi (grilled eel)[7][9].

Remarkable Burning Properties

Binchotan is renowned for its impressive burn duration of three to five hours, during which it can maintain high temperatures ranging from 500°C to about 1,800°F[7][11]. This ability to generate sustained, even heat makes it ideal for high-precision cooking, enhancing the Maillard reaction and improving searing on meats and seafood. Furthermore, its capacious nature allows it to be extinguished and reused several times without significant loss of performance, making it economical for repeated use in grilling sessions[5][9].

Versatility Beyond Grilling

In addition to its culinary uses, binchotan charcoal possesses numerous practical applications. It is known for its effectiveness as an odor absorber, commonly utilized in homes and refrigerators to keep spaces fresh[8]. Moreover, its porous structure allows it to purify water by binding to chemicals, making drinking water cleaner[5][8]. There are even culinary experiments that involve using powdered binchotan in food preparations to enhance flavors or improve health benefits, showcasing its versatility[8][10][12].

Sustainability Concerns

Binchotan Charcoal: How it's Made and Why it's Awesome
title: 'Binchotan Charcoal: How it's Made and Why it's Awesome' and caption: 'a black sticks on a wooden surface'

The rising demand for binchotan charcoal has raised concerns regarding the sustainability of ubame oak forests. Overharvesting threatens the longevity of these resources, prompting some producers to adopt more sustainable practices to ensure the continued availability of this premium grilling material[7]. It is essential for consumers to seek out reputable suppliers who engage in responsible harvesting methods.

Conclusion

'skewers of meat and vegetables on a grill'
title: 'Is Binchotan the Best Charcoal in the World?' and caption: 'skewers of meat and vegetables on a grill'

Binchotan charcoal stands out as an artisanal, high-quality charcoal appreciated for its unparalleled grilling performance and flavor-enhancing capabilities. Whether used for traditional Japanese cooking or modern culinary experiments, it brings unique benefits not found in typical charcoal products. As consumers increasingly value quality and sustainability, binchotan remains a top choice for enthusiasts, chefs, and home cooks who seek exceptional results in their grilling endeavors[6][13].

100

Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

Is the future of AI disrupting traditional workflows or refining them? 🤖 Let's dive into some groundbreaking developments in AI that could change everything—from math breakthroughs to innovative robotics.

  • AI Advancements and Breakthroughs
🧵 1/6

AI Assists in High-Level Research: Gemini Deep Think has hit gold-medal standards in math competitions, showcasing its prowess in solving complex research problems effectively. Could this redefine how researchers collaborate? According to DeepMind.

  • Ethical AI - Recent AI Developments in 2026: Latest AI Trends
🧵 2/6

Biomimetic Robots on the Rise: Scientists have developed robots that can mimic human tremors, potentially aiding those with Parkinson's. This innovation opens new doors in healthcare. How else can robots support human issues? As reported by ScienceDaily.

  • Number of industrial robots - Recent AI Developments in 2026: Latest AI Trends
🧵 3/6

Culinary AI Revolution: A new AI-powered robot can make coffee in bustling kitchens. This could transform labor markets in food services. Are robots the future of restaurants? According to ScienceDaily.

  • Pic 1  AI algorithm to provide insights into equipment performance - Recent AI Developments in 2026: Latest AI Trends
🧵 4/6

Navigating Virtual Challenges: Researchers created stickers that mislead self-driving cars, highlighting vulnerabilities in autonomous tech. What does this mean for safety in the era of AI? Reported by ScienceDaily.

  • Self driving car - Recent AI Developments in 2026: Latest AI Trends
🧵 5/6

Which AI advancement surprises you the most? Let's discuss! Reply below!

🧵 6/6

100

Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

💡 Did you know AI is transforming not just industries but the very fabric of scientific research? Buckle up as we dive into some groundbreaking AI developments you can't afford to miss!

  • AI Advancements and Breakthroughs
🧵 1/6

🤖 **Gemini Deep Think's Breakthrough**: This AI has achieved Gold-medal standard at the International Math Olympiad! It's blending reasoning with human collaboration to tackle complex math and science problems. Could this redefine academia? According to DeepMind.

  • Elon Musk stands in front of xAI’s new org chart
🧵 2/6

🔍 **AI in Medicine**: Researchers have developed an AI tool that identifies chemical compositions from images with 99% accuracy, assisting in identifying new antibiotics against superbugs. Could this be a game changer in healthcare?

  • Top 10 AI Trends to Watch in 2026
🧵 3/6

👩‍🍳 **Robot Chef Revolution**: A new AI-powered robot chef can prepare food in busy kitchens, potentially solving labor shortages in the restaurant industry. Imagine robots whipping up your favorite dishes! What's next for dining?

  • a hand with rings on finger
🧵 4/6

🤿 **Innovative E-Skins**: Researchers are creating e-skins that allow navigation in virtual reality through contact lenses. This tech might change how we interact with the digital world. Are we ready for the next level of VR?

  • a person using a laptop
🧵 5/6

Which AI breakthrough excites you the most? Reply below and let's discuss!

🧵 6/6

100

Report on the Implications of Anthropic's Copyright Infringement

Overview of the Copyright Infringement Allegations

Anthropic PBC, a Delaware corporation with its principal place of business in San Francisco, California[1], is facing allegations of copyright infringement related to its large language models (LLMs), particularly the "Claude" family[1]. A class action complaint filed in the Northern District of California asserts that Anthropic has built a multibillion-dollar business by "stealing hundreds of thousands of copyrighted books"[1]. The plaintiffs in the case, Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson, are authors who claim Anthropic has infringed on their copyrights by downloading pirated versions of their works and using them to train its AI models[1].

Anthropic's Purported Ethics vs. Alleged Actions

Anthropic styles itself as a public benefit company, designed to improve humanity[1]. However, the plaintiffs argue that the company's actions, specifically the alleged copyright infringement, make a mockery of its lofty goals[1]. According to its co-founder Dario Amodei, Anthropic is “a company that’s focused on public benefit”[1]. The plaintiffs contend that it is inconsistent with core human values or the public benefit to download hundreds of thousands of books from a known illegal source[1]. They argue that Anthropic has attempted to steal the fire of Prometheus and seeks to profit from strip-mining the human expression and ingenuity behind each one of those works[1].

Details of the Alleged Infringement

The complaint states that Anthropic intentionally downloaded known pirated copies of books from the internet, made unlicensed copies of them, and then used those unlicensed copies to digest and analyze the copyrighted expression for its own commercial gain[1]. The plaintiffs claim the end result is a model built on the work of thousands of authors, meant to mimic the syntax, style, and themes of the copyrighted works on which it was trained[1]. This was done without seeking permission or compensating the authors for the use of their material[1].

The Role of 'The Pile' and 'Books3' Datasets

The lawsuit indicates that Anthropic has admitted to using a dataset called The Pile to train its Claude models[1]. The Pile is an 800 GB+ open-source dataset created for large language model training[1]. It is alleged that one of The Pile’s architects created a dataset included in The Pile called “Books3,” which is a trove of pirated books[1]. Presser described Books3 as a direct download of all books from a different pirated website which comprises “all of bibliotik”[1]. Bibliotik is described as a “notorious pirated collection”[1].

Economic Impact on Authors and Copyright Holders

The plaintiffs argue that Anthropic’s Claude LLMs compromise authors’ ability to make a living, in that the LLMs allow anyone to generate—automatically and freely (or very cheaply)—texts that writers would otherwise be paid to create and sell[1]. The Authors Guild, the oldest professional organization representing writers and authors, recently published an earnings study that shows a median writing-related income for full-time authors of just over $20,000, and that full-time traditional authors earn only half of that from their books[1]. The rest comes from activities like content writing—work that is starting to dry up as a result of generative AI systems trained on those writers’ works, without compensation, to begin with[1].

Legal Claims and Relief Sought

The plaintiffs are bringing this action under the Copyright Act to redress the harm caused by Anthropic’s infringement[1]. They are seeking that the matter be certified as a class action, and that their attorneys be appointed Class Counsel and that they be appointed Class Representatives, and Plaintiffs demand judgment against Defendant as follows[1]: awarding statutory damages or compensatory damages, restitution, disgorgement, attorneys’ fees and costs, and permanently enjoining Anthropic from engaging in the infringing conduct alleged[1].

Related Legal Actions and Considerations

In addition to the Bartz case, another action, Concord Music Group, Inc. et al. v. Anthropic PBC, 5:24-cv-03811-EKL (N.D. Cal.) (“Concord”), also alleges copyright infringement claims against Anthropic PBC, based on Anthropic’s use of copyrighted lyrics in the development of Claude[3][4]. The Bartz plaintiffs have submitted an Administrative Motion to Consider Whether Cases Should Be Related, arguing that the Bartz suit may be related to the Concord action because both cases involve copyright infringement claims against Anthropic PBC, related to Anthropic’s development of Claude[3][5].

Court's Perspective on Class Action Settlements

Judge William Alsup has set forth substantive and timing factors that he will consider in determining whether to grant preliminary and/or final approval to a proposed class settlement, focusing on what is in the best interest of absent class members[2]. These factors include adequacy of representation, due diligence, cost-benefit for absent class members, the release, reversion, claim procedure, attorney’s fees, the right to opt out, incentive payment, and notice to class members[2].

Timing of Settlement Discussions

Judge Alsup generally requires plaintiff’s counsel not to engage in any class settlement discussion until after class certification, to ensure that both sides know the specific claims suitable for settlement or trial on a class-wide basis as well as the scope of the class -members[2]. This timing ties in well with the general principle that a settlement should usually be negotiated only after adequate and reasonable investigation and discovery by class counsel[2].

Communications with Putative Class Members

To address potential conflict-of-interest or other ethical issues that may arise from interviewing absent putative class members regarding the merits of the case, both sides are required to promptly meet and confer and to agree on a protocol for interviewing absent putative class members[2]. No interviews of absent putative class members may take place unless and until the parties’ proposed protocol is approved or permission is otherwise given[2].

Space: Anthropic Vs. A. Bartz, C. Graeber, and K. W. Johnson Trial On Fair Use

100

Brantome's Encounters: Courtly Favor, Duels, and Political Intrigue

Early Life and Courtly Beginnings

Pierre de Bourdeille, Abbot and Lord of Brantome, born in 1542, experienced courtly life from an early age[1]. He was brought up in early youth at the Court of Queen Margaret of Navarre and was later presented by Henry II to the Abbey of Brantome in 1556[1]. Such resources enabled him to travel in Italy (1557-8), where he witnessed several combats, and was present in Rome (1559) at the interregnum following the death of Paul IV[1].

Service and Access to Power

Brantome's connections and experiences allowed him access to the French Royal Court[1]. Returning to Paris, he became attached to the Court (1559-60) as an adherent of the Guises, the Duke Francis being related to his unfortunate uncle, La Chastaigneraye, so often mentioned in the Duelling Stories[1]. In 1567, at the call of Charles IX, he assisted in raising forces against the Huguenots and fought at St. Denis, occupied Chartres with his troops, and subsequently held Peronne, which, it appears, he refused to betray in spite of tempting offers made to him by his friend Theligny, on behalf of the Prince de Conde and Chatillon, a fidelity for which he was rewarded by a post in the Royal Household as Gentleman of the Bedchamber to the Duke of Orleans (afterwards Henry III), with a salary of six hundred livres[1].

Duels and Personal Involvement

Brantome's acquaintance with duels goes beyond mere observation; he was deeply immersed in understanding their intricacies[1]. His attention had long since been drawn in numerous discussions among specialists to the question of courtesies as practiced in duels—ought they to be allowed, or ought the rigour of the law to prevail[1]? Attheclose of1574 Brantome and hisbrother the Vicomte were employed tonegotiate terms with the Huguenot party under La Noue[1].

Ethical Quandaries and Limited Morality

Brantome’s work also displays a detachment from moral problems, particularly regarding duels[1]. His quasi-religious reflections, mainly ornamental, remind us that all this“Sacrement deI’assassinat,” ashisFrench editor calls it, belongs toareally pious and Christian age, orwhat would beso,but forthose Huguenot abominations[1]. He hasthe orthodox eulogies for heroes oftheold-fashioned School ofBayard, butherecounts with unruffled cheerfulness anecdote afteranecdote ofartful andcold-blooded assassination thinly disguised byafew artificial formalities[1].

Political Entanglements and Factions

Brantome lived during a time of complex political factions and religious civil wars, acknowledging that France was struggling through dark and stormy phases[1]. He served (1562-3) at the taking of Blois and the sieges of Bourges, Rouen, and Orleans, where Francis, Duke of Guise (the brother of Brantome’s first patron) was assassinated[1]. Being attached to the Court of Henry III, Brantome, residing in the Rue de Crenelle, was a witness of the quarrel between his relative Bussy and M. de St Fal[1]. After this date he does not appear to have been mixed up in any affair of importance, and after the death of themuch-abused Queen Catherine in 1583 he appeared little at Court, having, it would seem, damaged hisposition by aninjudicious advocacy oftheclaims ofhisfriend Marguerite de Valois, which hesupported indefiance oftheSalic law[1].

Later Life and Reflections

Late in life, as we learn from the opening pages of the Rodomontades Espagnolles, he was for a long period disabled by a fall from a white horse, of “ill-omened colour,” which rolled upon him, causing aserious injury, at last relieved by afamous physician, M. Christophle[1]. His curious anecdotes of Spanish bravado and artificial witticism were put together during his convalescence[1]. He died ataripeoldagein1614[1].

Space: Duelling Stories of the Sixteenth Century By George H. Powell

100

De‐Risking Biotech Supply Chains: Lessons from Semiconductor Manufacturing

Introduction

Biotechnology and semiconductor manufacturing are two complex, high‐value industries that depend on rigorous process controls and exceptional quality management to ensure product performance. Semiconductor fabs employ techniques such as ultra‐precise raw materials characterization down to the parts‐per‐trillion level to maximize yield and avoid defects[1]. In a similar vein, biopharma manufacturers are beginning to adopt comparable practices, though they must contend with the inherent variability of biological molecules, which necessitates a different approach to quality assurance and supply chain management[8].

Just-In-Time Pitfalls

The Just-In-Time (JIT) approach, originally popularized in the semiconductor and automotive sectors, is built on the premise of reducing inventory and eliminating waste by receiving materials precisely when needed[6]. In the semiconductor industry, JIT can work effectively because suppliers are often in close geographic proximity, the production steps are highly deterministic, and process changes are tightly controlled[17]. However, in the biotech arena, applying JIT is significantly more challenging due to unpredictable biological elements, longer lead times for regulatory approvals, and a historically low demand forecast accuracy for critical supplies[11]. Disruptions such as those experienced during the COVID-19 pandemic highlighted how reliance on JIT can lead to critical shortages, exposing vulnerabilities in supply chains that lack buffer inventories and agile response mechanisms[4].

Diversification Tactics

An essential aspect of de-risking supply chains is diversifying the supplier base to avoid dependency on a single or limited number of sources. In semiconductor manufacturing, process qualification routines require suppliers to meet stringent impurity standards and to document every material change, fostering a network of trusted partners[1]. By contrast, many biopharma suppliers, especially for raw materials such as cell culture media or excipients, originate from diverse global regions, which can introduce variability and unpredictability into the manufacturing process[10]. Biotech firms can buffer shocks by engaging in proactive supplier audits, establishing strong domestic or nearshored partnerships, and setting up contingency plans that include dual sourcing strategies[16]. Such practices not only mitigate the risk of supply interruptions but also enable quicker responses to market or regulatory changes[3].

Quality Standards and Control

Quality control in semiconductor manufacturing is achieved through rigorous process controls and advanced materials analysis, ensuring that each wafer meets extremely tight impurity thresholds[1]. In the biotech sector, while the same level of precision is sought, biological processes are inherently variable and require systems that can account for lot-to-lot differences and subtle changes in raw material composition[8]. Moreover, biotech companies must implement robust quality management systems to monitor both upstream and downstream processes to maintain product safety and efficacy[14]. This involves integrating advanced analytical methods, digital quality control platforms, and continuous process improvement practices that are common in semiconductor fabs but adapted to the unique challenges of handling biologics[15].

Actionable Steps for Biotech Firms

The scientist works in a modern scientific laboratory for the research and development of microelectronics and processors. Microprocessor manufacturing worker uses computer technology and equipment.
Image from: adobe.com

To effectively buffer against supply chain shocks and de-risk operations, biotech companies should take several actionable steps:
1. Implement Hybrid Inventory Models: Develop a system that combines JIT principles with strategic buffer stocks (a 'just in case' approach) to handle sudden surges in demand or unforeseen disruptions[6][11].
2. Diversify Supplier Networks: Proactively audit and qualify suppliers while establishing partnerships with a mix of domestic, nearshore, and international vendors to spread risk and enhance supply resilience[8][16].
3. Invest in Advanced Digital Tools: Adopt digital platforms such as AI-based predictive analytics, IoT for real-time monitoring, and blockchain for transparent traceability to convert unstructured data into reliable insights for decision making[9][17].
4. Enhance Quality Management Systems: Incorporate stringent quality control measures and continuous process improvement strategies that mirror semiconductor practices, ensuring raw material consistency and regulatory compliance across all production stages[1].
5. Build Agility Into the Supply Chain: Foster organizational strategies that emphasize lean and agile manufacturing practices, ensuring that production scheduling, capacity planning, and supplier performance monitoring are tightly integrated to rapidly adjust to market conditions[15].

Conclusion

Lessons from semiconductor manufacturing offer biotech firms a valuable blueprint for de‐risking their supply chains. By understanding the pitfalls of a pure JIT approach, investing in diversification tactics, and maintaining robust quality standards, biotechs can build resilient supply chains that are capable of withstanding external shocks and variations inherent in biological processes. The integration of advanced digital technologies and process improvement strategies will further empower manufacturers to achieve the dual goals of efficiency and reliability, ensuring that life‐saving therapies reach patients even under challenging conditions[17].

100

Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

Could AI be the key to sustainable energy? 🚀 Check out these exciting advancements in AI that are changing the landscape in 2026! 🧵

  • Industrial AI in 2026: From Hype to Real-World Impact
🧵 1/5

AI-Driven Magnetic Material Discovery: Researchers at the University of New Hampshire have created a database of 67,573 magnetic compounds! This could reduce our reliance on rare earth elements in tech, especially electric vehicles. What could this mean for sustainability? According to ScienceDaily.

🧵 2/5

Neural Input Tech is Here: Wearable Devices just launched ai6 Labs, a hub for developing AI that translates human intent into digital actions. Think touchless controls for your devices! How will this change our interaction with technology? As reported by GlobeNewswire.

  • conversational,ai,chat,bot,concept artificial,intelligence,chat,bot
🧵 3/5

AI-Powered Prosthetic Advances: New robotic arms controlled by brain signals allow paralyzed individuals to grasp and manipulate objects. This could redefine autonomy for many! How will this technology enhance lives? Find out more from ScienceDaily.

  • a group of robots looking at computers
🧵 4/5

Which of these AI advances surprises you most? Share your thoughts below!

🧵 5/5

100

Latest news on Wednesday, 25th of February 2026

🌍 Global tensions are rising! From Trump's latest tariff changes to cartel violence in Mexico, huge stories are unfolding worldwide. Here's what you need to know about these developments.

  • Latest news bulletin | February 2nd, 2026 – Midday
🧵 1/6

💰 Trump's Tariff Update: On February 24, President Trump announced a new global tariff of 15% on imports, instigating concern among investors. Many believe this could affect consumer prices and inflation.

  • Latest news bulletin | February 22nd, 2026 – Midday
🧵 2/6

👮 Violence in Mexico: The aftermath of the killing of cartel leader 'El Mencho' has led to widespread chaos, forcing the U.S. Embassy to urge citizens to shelter in place. How will this unrest affect tourism?

  • EXPLAINED: How Mexico Tracked & Killed ‘El Mencho’: Inside the Operation That Shook the Cartel World
🧵 3/6

🌀 Historic Blizzard Hits Northeast: Record-breaking snow fell across five states, paralyzing major cities and prompting emergencies. Over 500,000 customers are without power due to the severe weather.

  • Latest news bulletin | February 23rd, 2026 – Evening
🧵 4/6

📈 Market Reactions: Despite these developments, investors seem to remain calm. Observers suggest that past experiences with Trump's tariff threats have led to a desensitization in market responses.

  • Traders work on the floor of the New York Stock Exchange during morning trading on February 24, 2026.
🧵 5/6

Which of these stories captures your attention the most? Let us know your thoughts!

🧵 6/6

68

The Impact of Technology on Democratic Processes

'a hand putting a ballot into a box'
title: 'Can artificial intelligence (AI) influence elections?' and caption: 'a hand putting a ballot into a box'

Shifting Dynamics in Electoral Processes

In 2024, over 60 countries, representing nearly half of the global population, are preparing for elections. This year marks a significant moment as advancements in technology, particularly in artificial intelligence (AI), bear substantial implications for democratic practices, primarily focusing on the electoral process. Technology has historically played a role in elections, enhancing the efficiency and security of these processes. Modern innovations, however, present both opportunities and threats to the integrity of democratic systems.

The Community of Democracies highlights that technologies such as electronic systems and software are increasingly utilized in elections for voter registration, ballot casting, counting, and result reporting. While these advancements can enhance transparency and public engagement, they also introduce vulnerabilities such as the risk of cyberattacks and disinformation, potentially eroding trust in electoral processes[1].

The Digital Ecosystem and Misinformation

'a hand putting a piece of paper into a ballot box'
title: 'AI’s impact on elections is being overblown' and caption: 'a hand putting a piece of paper into a ballot box'

AI's capabilities are particularly concerning in the realm of misinformation. The potential misuse of generative AI—tools capable of creating realistic deepfake content—raises alarms regarding its ability to distort electoral information. AI-generated disinformation can undermine the integrity of political discourse and erode public trust[4]. Recent events underscore this risk; for example, deepfake technologies have been used to fabricate videos featuring political figures, misleading the electorate and potentially influencing election outcomes[6].

Danielle Allen, a panelist at the GETTING-Plurality event at Harvard, emphasizes the persistent struggle against misinformation generated by new technologies, asserting that the capability to produce false information currently exceeds the ability to fact-check it effectively. This imbalance stresses electoral systems across the globe and suggests that misinformation will increasingly complicate democratic engagement[5].

Cybersecurity Concerns in Election Integrity

As reliance on digital tools grows, concerns about cybersecurity also escalate. The Community of Democracies identifies the increasing dependence on private entities for cybersecurity as a significant issue[1]. For instance, in the U.S., about 90% of election software is controlled by a few private companies, which operate with minimal oversight[6]. This lack of transparency and accountability can lead to vulnerabilities, as attackers might exploit weaknesses in privately owned electoral infrastructure.

Moreover, advancements in AI allow for more sophisticated cybersecurity measures, but they also present new avenues for cyberattacks against critical electoral infrastructure. For example, AI can detect anomalies that signal cyber threats, aiming to bolster the integrity of electoral processes; however, the potential for AI to be weaponized in creating disinformation campaigns persists. Cybersecurity measures must evolve continuously to mitigate these threats effectively[4][6].

Algorithmic Impact on Voter Behavior

Advancements in AI are also reshaping how political campaigns interact with voters. While AI can optimize mundane tasks such as fundraising and voter mobilization, concerns have arisen about its potential for micro-targeting voters with tailored messages. Initial fears included that these methods could manipulate voter behavior more effectively than traditional means[2]. Yet, evidence suggests that the influence of AI-driven persuasion is overstated; voters tend to be skeptical of overly tailored messages[2][5].

Persily, a law professor, notes that the real challenge may lie in public perception. Many individuals may experience heightened anxiety regarding AI's role in elections, leading to a generalized mistrust in electoral information. This AI panic could exacerbate existing issues within democracies, as the perception of AI's outsized influence may distract from more substantial and pressing threats, including voter disenfranchisement and attacks on democratic institutions[5].

Unequal Access and the Global Digital Divide

The advent of sophisticated technologies has not benefited all communities equally. While some nations have developed robust digital infrastructures, many marginalized groups remain unconnected, exacerbating the digital divide. The United Nations expresses concerns that the growing gap in digital access could disenfranchise large segments of the population from participating in democratic processes[4]. Without adequate access to technology, these communities may struggle to engage with the electoral system, thereby impacting the overall representativeness of elections.

Ethical Considerations and the Need for Regulation

The rise of AI in electoral contexts raises vital ethical questions, including issues of bias, privacy, and accountability in algorithmic decision-making. There are calls for strict regulations to ensure that AI systems are free from discrimination and operate transparently[6]. For instance, the UN emphasizes the need for comprehensive governance of AI, advocating for the establishment of global standards and ethical guidelines to mitigate potential risks[4].

As AI continues to evolve, responsible usage frameworks and robust oversight mechanisms are crucial to ensuring that technology enhances rather than undermines democratic processes. This includes creating safeguards against disinformation, establishing transparency regarding AI's role in elections, and promoting digital literacy among the populace to empower voters against misinformation[5][6].

Conclusion

The intersection of technology and democratic processes presents a complex landscape characterized by both opportunities and threats. As technological advancements, especially in AI, reshape electoral dynamics, the need for vigilance, transparency, and inclusive access becomes paramount. Establishing comprehensive frameworks for governance and accountability will be essential in safeguarding the integrity of democratic systems worldwide amidst these evolving challenges.

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A thread on how forgetting works: from the human brain to why AI models forget after fine-tuning

Ever wondered why we forget things and why even AI models lose knowledge after fine-tuning? Join me as we explore how the human brain's natural forgetting inspires both innovation and challenges in AI.

  • featured image - Machine Un-Learning: Why Forgetting Might Be the Key to AI
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Human Memory in Action: Our brains forget to avoid overload. Memory decay, interference, and even intentional suppression help us update our knowledge and shield us from painful memories[7].

  • Neuroscience
  • International Journal of School and Cognitive Psychology
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AI's Catastrophic Forgetting: When neural networks adapt to new data, their weights shift, sometimes erasing what they once knew. This unintended loss of previous learning mirrors how our brains adjust over time[3].

  • What is Catastrophic Forgetting? | IBM
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Size Matters in AI: Larger models may wow us initially, but during continual fine-tuning they often suffer deeper catastrophic forgetting. As model scale increases, the risk of losing valuable general knowledge grows[2].

  • 00 Blog Fine tuning ASR - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)
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Brains vs. Machines: Both use forgetting to manage limited resources, yet in AI it's a double-edged sword. Which aspect of forgetting surprised you the most? Reply and share your thoughts!

  • A robotic hand holding a human brain, illustrating the intersection of artificial intelligence and neuroscience in cognitive enhancement.
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