Step inside the story of the secret phone system that helped Britain and the US coordinate during World War II—without letting spies hear a word.

Even before the US officially entered the war, Winston Churchill pushed to stay in close contact with Franklin D. Roosevelt. Regular phone calls could be intercepted, so leaders relied on encrypted telegrams and carefully monitored conversations. What they needed was secure voice communication across the Atlantic.

That’s where SIGSALY comes in—an ultra-top-secret technology developed by Bell Telephone Laboratories. SIGSALY worked by digitising the human voice, blending it with random noise, and transmitting the scrambled signal by radio. At the receiving end, the noise was removed and the voice reconstructed using a vocoder—leaving enemy interceptors with nothing but unintelligible static.

But there was a catch: SIGSALY wasn’t plug-and-play. It required perfect synchronisation at both ends, using specially prepared records that had to be played in sync and then discarded. Terminals were expensive, massive, and tightly guarded—yet they were installed worldwide, including a unit operating from beneath Selfridges in London, with links reaching key UK locations like Downing Street and even a hidden extension in the Cabinet War Rooms.

SIGSALY supported crucial conversations between the leaders—starting with Churchill and Roosevelt in 1944, then continuing after Roosevelt’s death with calls to Harry Truman. Beyond individual calls, the effort to build and run this cutting-edge system underscored the depth of the wartime US-UK alliance, turning advanced technology into a real-life advantage at the heart of leadership decisions.

Decomp games are what happens when fans rebuild a game’s original code into readable source—and then use it to make playable ports across PC, Android, and handhelds, often with added mods, widescreen support, and randomizers.

This site tracks that whole ecosystem in one place: it lists 72 decomp-based games you can play now, across many platforms (from Nintendo 64 and PlayStation 1 to PC and even mobile), and also highlights 241 more decompilations still in progress.

Beyond the playable lineup, there’s a decompilation progress tracker showing how much of each project’s code has been matched so far, with links to the related repositories. It’s a snapshot of reverse-engineering turning into something you can actually run—built by community teams, one game at a time.

Germany’s “exit tax” can make leaving the country feel nearly impossible for founders and business owners. This article is a real-world case study of how Oliver Eidel moved from Germany to Thailand—despite owning multiple companies—without triggering a massive exit-tax bill.

He explains what the exit tax is (it effectively simulates a sale of your holdings at a high valuation) and why, for many people, it becomes a liquidity problem: even “reasonable” annual profits can translate into exit-tax figures hundreds of thousands of euros. He then dives into the practical question everyone asks afterward: what did he actually do?

After 1.5 years, conversations with 13 tax advisors, and €18.7k in notary and advisor fees, he chose the “GmbH & Co. KG holding solution.” The move lets him leave Germany with a €0 exit tax, while keeping future profits, dividends, and appreciation taxed in Germany—so the tax system remains satisfied, and he remains able to live abroad.

Along the way, the piece also highlights the “industrial complex” of tax advisors and notaries in Germany: opaque pricing, slow bureaucracy, repeated paperwork, and the sometimes comical step-by-step hurdles required to make changes legally stick—plus the need to maintain a real operating setup in Germany, not just paperwork.

The result: a detailed roadmap of the options, the pitfalls, and the steps (including timelines and costs) behind making an exit legally workable for entrepreneurs.

AI chatbots aren’t just answering questions—they’re increasingly good at changing minds. A real-world example highlights how a large language model can persuade someone in an online political debate, moving support for tougher protest penalties from near zero to strongly positive after the bot addresses concerns with targeted facts and structured reasoning.

This isn’t isolated. In experiments where thousands of people debated political issues, AI consistently proved more effective than human counterparts at swaying opinions—covering topics like assisted dying, social media rules, and other hot-button policies. Research suggests a key ingredient: AI messages often feel more “evidence-based” and rational than human argumentation, even when the persuasive outcomes are similar.

The article also traces how quickly the field evolved—from early message studies to live multi-round conversations where chatbots have helped reduce belief in conspiracy theories and even outperformed elite debaters in head-to-head trials. AI appears to benefit from speed and volume: it can generate rapid, claim-rich arguments far faster than humans.

But persuasion comes with risks. Evidence-based arguments don’t automatically mean accurate ones—some “more persuasive” models have been found to slip into falsehoods. And large-scale manipulation is a looming concern, from covert trials on online communities using fake accounts to the idea of “hypersuasion,” where systems could tailor persuasive messaging to many individuals at once.

The central question the research community is tackling now: not just whether AI can persuade, but how to manage its incentives and prevent it from being used to manipulate people—especially when the real world doesn’t offer the controlled conditions of a study.

Stanford Medicine researchers have upended a long-held idea: the “brain” isn’t a single organ with one origin. Instead, it’s made of two distinct, evolutionarily ancient nervous systems that developed independently and later formed the integrated structure we recognize today.

This split maps onto the forebrain (driven by one set of early progenitor cells) and the hindbrain/brain stem (driven by a different progenitor cell pathway that never overlaps). Using detailed studies of early embryonic development, the team showed these two regions also carry fundamentally different genetic “settings” (chromatin patterns), which explains why it’s been so hard for scientists to generate hindbrain neurons in the lab.

The payoff: for the first time, researchers successfully coax human pluripotent stem cells into functional hindbrain motor neurons—cells that show real electrical activity and produce proteins tied to facial and swallowing control.

Beyond the fascinating biology and deep evolutionary history, the work directly targets a major research bottleneck for diseases affecting the brain stem, including spinal muscular atrophy (SMA) and ALS. Since it’s difficult to access patient brain stem tissue, the ability to grow these neurons in a dish opens new avenues to understand what goes wrong and to explore future regenerative therapies.

A mini-cafe built with absurdly careful detail, from the “tiny cafe” table to individually assembled (and glue-secured) tulips and even printed micro text—an experience aimed at people who love meticulous craftsmanship and cozy atmosphere.

The author shares how this painstaking project fits their life: a longtime passion for making/collecting miniatures, plus a daily coffee ritual centered on pour-over brewing and a simple go-to order—an Americano—used as a benchmark for judging any coffee shop’s skill. They wrap up by praising places with transparent, high-quality beans (especially those that roast their own), and hint that this miniature venue would have a secret or two worth discovering.

OpenMontage is an open-source, agentic video production system that turns a plain-language idea into a finished video end-to-end—handled by your AI coding assistant. It’s not just “generate a clip”: it orchestrates research, scripting, asset creation, editing, composition, subtitles, and QA through structured production pipelines and tool scoring.

The project’s standout feature is governance: it uses explicit quality gates and pre-/post-render self-reviews to reduce broken or “animated slideshow” outputs, with auditable decision logs for provider choices, style rules, and budgets.

OpenMontage also supports multiple creative paths, including:

• AI explainers, cinematic trailers, talking heads, and motion graphics (via Remotion/HyperFrames)
• Real-footage documentary montage by building a corpus from open archives and assembling actual motion into a coherent timeline
• Reference-driven workflows, where you paste a video you like and the agent produces grounded variants with cost and tool-path estimates before production

With optional API keys (and free/local options like Piper TTS and local generation), OpenMontage lets you render videos across common platforms (YouTube, Shorts, TikTok, etc.) using either React/Remotion rendering or HTML/GSAP composition—while keeping runtime choices locked and traceable.

Ticket prices for concerts and sports are getting inflated by two kinds of middlemen: professional ticket resellers who flip inventory for profit, and online ticketing platforms that charge large service fees in a captive, near-monopoly setup for each event. Together, the paper estimates these practices add about $11+ billion every year to what Americans pay.

The Vanderbilt Policy Accelerator’s white paper argues for a clear, two-part fix: (1) a bright-line ban on reselling tickets above face value (so consumers can still resell their own tickets at face value or less), and (2) a cap of 10% on platform processing/service fees for both primary and resale markets. It also calls for strong enforcement—including the ability for venues/artists and regulators to take action, plus a private right of enforcement—so these rules are harder to evade.

To make the case, the author breaks down how the modern ticket ecosystem works online, why “convenience” doesn’t require above-face-value scalping, and why fee caps are feasible by pointing to places that already operate under similar limits. The paper also challenges common defenses of the resale industry, including claims about consumer savings, lower counterfeiting risk, and the idea that resale creates “economic efficiency”—arguing instead that resale mainly redistributes money from fans to resellers without increasing supply of the actual event.

Finally, the paper situates the proposal in a longer history of anti-scalping regulation and recent momentum across U.S. states and internationally—suggesting policymakers can pursue solutions through new legislation or the FTC’s authority over “unfair practices,” backed by model legal and regulatory text.

Credit card rewards don’t come from nowhere—new research shows they’re funded by interchange fees, and those fees end up redistributing wealth across households. As inflation-weary merchants raise prices to cover payment costs, the burden doesn’t fall evenly: people who pay with cash and debit typically get little to no rewards, while credit card users often receive rewards that more than offset what they effectively pay back through higher prices.

The analysis estimates that interchange fees shift about $30 billion per year, with households paying with cash facing an effective burden equivalent to a 26% higher sales tax compared with premium credit card users at the same stores. The paper traces how this dynamic was shaped by policy changes—especially the Durbin Amendment, which capped debit card fees but ultimately reduced perks and shifted gains toward higher-income consumers who use premium credit cards.

Using transaction data from about 1.8 million merchants, the researchers find a clear pattern: premium card users capture a larger share of rewards while paying a smaller share of the interchange costs, while many debit card users—particularly those affected by regulated fees—bear more of the tradeoff.

The takeaway for business and policy is practical: payment costs are likely to keep shifting as premium card adoption grows, and merchants will need more granular forecasting by location and customer mix. Meanwhile, policymakers considering fee reforms face a key warning—systems designed to protect consumers can still produce regressive outcomes, especially when consumers “self-sort” to merchants that price in their preferred payment methods.

An old piece of phone-number plumbing called ENUM uses DNS to map E.164 phone numbers to call-routing instructions under the infrastructure domain e164.arpa. In theory it’s meant to store only routing records—not websites—but because it’s still “just DNS,” it can be misused if nameservers are controlled by the wrong party.

This post tells the story of how an expired/delegated nameserver allowed the author to take over multiple country-code e164.arpa zones (covering territories like Saint Helena, Diego Garcia, and Ascension Island). While scanning for weaknesses, they realized that controlling those zones could let someone intercept and reroute phone calls at the carrier-routing layer—at least in systems that still depended on this dead or neglected mechanism.

At first, nothing appeared to be happening: no queries showed up for one territory when logging was enabled. But six months later, the logs revealed hundreds of thousands of ENUM lookups across the other two zones—containing full phone numbers, timestamps, and resolver source IPs. The surprising detail: the traffic was largely associated with calls to military bases, meaning sensitive communications could have been exposed for months if someone had chosen to exploit it.

Eventually, the situation was taken seriously by the UK’s NCSC, who gained control of the relevant nameserver infrastructure—turning a bizarre “expired domain” adventure into a real-world reminder that neglected infrastructure can still hide serious risk.

This website is a grant programs database for startups and researchers across Europe, organized so you can quickly find funding based on where you’re located (geography), startup stage (pre-seed/seed/early stage/growth), and startup type (deep tech, digital/AI, biotech, climate/green, etc.).

It covers major public and pan-European funding routes—ranging from R&D grants (to mature technology and prototypes) to blended finance and acceleration programs (to help teams scale). Examples include France’s French Tech Rise and I-Nov, EU-wide instruments like EIC Pathfinder/Transition/Accelerator and Horizon Europe, and country programs such as UKRI/Innovate UK (UK), ZIM (Germany), VLAIO (Belgium—Flanders), aws (Austria), and Vinnova (Sweden), plus options like space-focused ESA BIC and deep-tech challenger funding via Germany’s SPRIND.

The database makes it easier to spot what you can apply for, the typical funding size, and what each program is designed to support—so teams can match their innovation stage and goals to the right funding path.

Explore how London’s property marketing got a head start on “virtual tours” long before Rightmove: in the 1840s and 1850s, estate agents Brooks and Green in Old Bond Street used a Victorian immersive display called a cosmorama.

Instead of photographs and floor plans, prospective buyers viewed specially commissioned images of luxury homes and country estates through convex lenses that magnified the pictures and created an illusion of depth—enhanced by carefully controlled lighting to make the experience feel like travel.

Researchers from the University of Exeter found this technique wasn’t just entertainment. It was used to sell a whole experience of seeing a property—with ads describing “hundreds” of estate views from an “aerial perspective,” likely an expensive process limited to prestigious buyers.

Processor earnings over the past few weeks didn’t move in unison—they highlighted a growing divide inside payments. Some companies (like Adyen and Toast) raised guidance and posted strong momentum, while others (notably Fiserv) cut outlooks, struggled with margins, and faced leadership upheaval. The article breaks down the “why,” arguing that investors may be missing a structural framework for how profits are really shifting across the payments value chain.

At the center is one key idea: merchants “pay for everything” in payments. Merchant costs aren’t just interchange and processing fees—fraud losses, chargebacks, internal acceptance operations, and the value-added services that sit on top of payment rails all matter. But the processor closest to the merchant isn’t capturing the expected share of value because card processing has become increasingly standardized into a commodity.

The author argues that large merchants engineered this commoditization through multi-sourcing. Instead of relying on a single provider, they connect to many processors and route transactions based on price, authorization performance, and uptime—making it hard for any processor to hold leverage. Even “savings” from regulatory changes like Durbin routing often land with the merchant, while processors mainly bear integration and execution costs.

So where does value grow? The piece says the highest-margin opportunities are increasingly tied to complexity—especially in eCommerce. Card-not-present transactions create a bigger need for fraud prevention, risk scoring, orchestration, and optimization. Companies that treat the payment event as an entry point to deeper offerings (software platforms, vertical operating systems, and programmable stacks) can defend take rates because they aren’t just selling movement of money.

This explains the contrast in outcomes across the sector. Toast is presented as the clearest example of “stopping being a processor” and bundling payments inside a restaurant operating platform. Adyen and Stripe are positioned similarly: using the payment moment to solve harder problems merchants actually value. By contrast, processor-heavy models—where hardware or terminals are used mainly to create stickiness—face the risk that merchants can decouple software from processing.

Looking forward, the article argues another major shift is coming: authentication. As network-level authentication, tokenization, and passkeys improve, the fraud and risk layer that processors sell may shrink. That would compress pricing power for processors whose differentiation depends on today’s imperfect ability to verify identity.

Networks like Visa and Mastercard are highlighted as particularly durable because they increasingly monetize authentication and other services as “value added services.” Meanwhile, the processors that struggle will need a stronger answer than processing efficiency alone—because in a world where authentication is handled upstream, the remaining product becomes more “accounting” than value creation.

Finally, the author outlines what to watch in the next few years: product investment levels at lagging processors, ongoing proof of vertical specialization in software-led models, signs of acceleration (or saturation) in network value-added services, and the durability of PayPal’s branded checkout. The conclusion: the widening gap between winners and losers reflects two fundamentally different businesses, even when they wear the same “processor” label.

A chair in a Czech café turns into a much bigger story: the roots of Germany’s Mittelstand—family-run manufacturers whose impact reaches far beyond the factory gates.

The post follows the chain from 19th-century bentwood chairs (Michael Thonet and “Chair No. 14”) to the rise of factory towns like Bystřice pod Hostýnem, where entire communities were built around production—until wars, nationalization, and political upheaval split fortunes into two separate legacies: Thonet in Germany and TON in Czechoslovakia. The theme repeats elsewhere: businesses survive by embedding themselves in their regions, preserving knowledge, and training workers for the long term.

From there, the author connects medieval guild structures to the modern “Mittelstand ethos,” arguing that it’s less about size and more about an attitude: ownership and management stay closely tied, incentives favor decades over quarters, and culture is treated as a strategic asset. Apprenticeship (Ausbildung) becomes the engine for preserving “tacit knowledge,” while operational discipline shows up as rigor on the shop floor—like finishing everything before starting (“No 80% Rule”) and eliminating waste down to daily routines.

Across factory tours, Mittelstand firms are portrayed as “hidden champions” in specialized global niches—built on patient capital, trust, and craftsmanship—while also investing heavily in their towns (schools, housing, arts, infrastructure). In the end, the story frames Mittelstand not just as an economic model, but as a system that shrinks the distance between work, community, and responsibility—something the author hopes future factories will continue to resemble, especially as technology and automation reshape what work will look like.

A new investigation into online grocery pricing digs into whether Instacart quietly charges different shoppers different prices for the same items at the same time. In live tests across four U.S. cities with 437 participants, researchers found that price variation was common: most groceries showed up at multiple price points, and shoppers’ total basket costs often differed as well. In some cases, the highest price for identical items was up to 23% higher than the lowest—adding up to an estimated potential extra cost of around $1,200 per year for a typical household if those variations repeat.

The report argues this “algorithmic” pricing shift makes grocery costs harder to predict and harder to compare-shop, especially as online grocery becomes the norm. It also examines why the strategy may be happening, including Instacart’s use of AI pricing tools and targeted offers, and it reviews how regulators and states are beginning to respond—through potential enforcement, disclosure requirements, and proposed limits on “surveillance pricing.”

Overall, the story is about what happens when everyday essentials are priced by data-driven experiments rather than one transparent price—whether shoppers notice the difference or not.

Taste Skill is an open-source “anti-slop” frontend framework for AI coding agents—focused on getting better-looking, more consistent interfaces instead of generic, templated UI.

Built around installable SKILL.md skill files, it plugs into many popular agents (Cursor, Claude Code, Codex, Gemini CLI, v0, Lovable, and others) with a single command. Its goal is to steer the agent with design-system-aware rules: infer the right design direction from the brief, map when to use established systems (Material, Fluent, Carbon, Tailwind, etc.), enforce dark-mode parity, and follow audit-first redesign protocols.

The site also highlights a set of specialized skills (e.g., output completion to prevent half-finished code, style presets like minimalist/brutalist/soft, and image-first or redesign-focused flows), plus an experimental v2 rewrite that ships stricter pre-flight checks and tighter rules—while keeping the same install name for easy upgrades.

Die Berliner Morgenpost zeigt in ihrer True-Crime-Reihe „Das dunkle Berlin“ den spektakulären Bankraub in Zehlendorf von 1995: Gangster nahmen 16 Menschen als Geiseln, erbeuteten Millionen und verschwanden – scheinbar unmöglich – spurlos.

Im Mittelpunkt steht der ungewöhnliche Fluchtplan: Die Täter hatten unter der Commerzbank einen Tunnel gegraben, um im richtigen Moment auszutauchen. Die Polizei umstellte die Filiale, führte Verhandlungen, sorgte parallel für die Sicherheit der Geiseln – doch die Angreifer nutzten die Ablenkung der Einsatzlage, um im Kellerraum weiter vorzugehen und am Ende unbemerkt zu entkommen.

Der Fall wird schließlich aufgeklärt: Weil Hinweise und Ermittlungsarbeit doch greifen, geraten die Täter in Widersprüche und werden identifiziert. Der Bericht zeichnet außerdem nach, wie aufwendig der Tunnelbau war – von Bauarbeiten über Rückschläge bis zur engen Passage – und macht klar, wie ein „fast perfektes Verbrechen“ an Details und Ermittlungsdruck scheitert.