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This page alerts you that you’re being redirected to Google Search and offers a manual link if the redirect fails. It also provides options for troubleshooting access issues and sending feedback to Google.
- The saved page is just a Google redirect stub with no actual article content
- It contains only a "click here if not redirected" link, a manual link to Google Search, and a feedback link
- Nothing worth reading was actually archived by the read-it-later service
Jonas Adler and Alexander Pritzel are leaving Google for Anthropic after key roles on the Gemini model. They follow Noam Shazeer’s move to OpenAI and John Jumper’s departure to Anthropic, and with both firms eyeing IPOs, rivals are using equity incentives to recruit top AI talent.
- Jonas Adler and Alexander Pritzel, key architects of Gemini, left Google for Anthropic.
- Noam Shazeer went to OpenAI despite Google paying $2.7 billion to acqui-hire Character.AI partly to keep him.
- John Jumper, Nobel laureate and AlphaFold lead, is also departing Google DeepMind for Anthropic.
- As OpenAI and Anthropic prepare for IPOs, their equity offers are outcompeting Google's ability to retain top AI researchers.
Lily Ray breaks down why current SEO hacks—like self-promotional listicles, prompt-injection widgets, and scaled comparison pages—are short-lived and likely to trigger a Google crackdown. She argues E-E-A-T is a nuanced, long-term framework, not a checklist, and warns that original data and genuine expertise remain the only durable advantage.
- Google is signaling a crackdown on spammy AI-search tactics—link schemes, prompt-injection widgets, self-promotional listicles—often previewed through subtle changes to its Search Quality Rater Guidelines before core updates hit.
- Prompt-injection widgets that trick AI summarizers into repeating hidden brand pitches are classified by Google as "LLM poisoning" and treated as outright spam.
- LLMs.txt files don't currently affect rankings despite hype; Google frames them as prep for future agentic search, so they're worth minutes of effort but not a growth strategy.
- E-E-A-T isn't a scoring checklist but a fuzzy, multi-signal framework—transparent author bios, expert voices, and site history build the kind of genuine trust that outlasts algorithm shifts, unlike scaled comparison pages or paid "best of" placements.
After creating a third-party Google Workspace CLI that went viral on Hacker News and GitHub, the engineer was terminated by Google amid branding and disruption concerns. Two days before his firing, Google announced its own official Workspace CLI.
- Poehnelt was fired after his side-project Google Workspace CLI went viral on Hacker News and GitHub, drawing internal attention from directors and legal over use of Google's logo/branding.
- Google Cloud Next announced its own official Workspace CLI just two days before his termination, essentially mirroring his open-source tool.
- He views the timing as ironic vindication that his project anticipated Google's own product direction.
- After nearly seven years at Google, he's going public with the story to process and move past the experience.
The author details how they harvested thousands of Google API keys from APKs, web traffic, and discovery documents—filtering for Google-owned projects—to map out live and hidden API endpoints. They then leverage AI to auto-generate and run fuzz tests at scale, tackling first-party authentication and visibility labels to uncover undocumented functionality.
- Scraped 61,200 APKs plus web/iOS traffic to harvest Google API keys, then cross-checked each against the Cloud Marketplace API to confirm it belonged to a google.com-owned project, filtering out third-party noise.
- Bypassed Google's mid-2025 removal of the standard discovery doc path by brute-forcing visibility labels like "?labels=GOOGLE_INTERNAL," exposing over 1,500 hidden/internal API discovery documents.
- Cracked first-party authentication (session cookies + "Authorization: SAPISIDHASH" header to clients6.google.com) as the key workaround for fuzzing endpoints that require both an API key and a real user session.
A long-time Android security architect at Google announces his resignation, citing moral objections to the company’s AI energy impact and secret U.S. military contracts. He reflects on Google’s former “don’t be evil” culture, his achievements in user encryption and privacy, and why recent top-level decisions forced him to leave.
- A senior Android Security architect resigned over Google abandoning renewable energy goals to power AI and signing "any lawful purpose" DoD contracts.
- He says these military deals enable offensive warfare support and mass surveillance of Europeans, violating human rights norms and EU privacy law.
- Leadership made these decisions unilaterally with no internal debate or transparency before employees learned of them.
- He's giving three months' notice (through August 31, 2026), immediately cutting ties with AI work tied to the DoD deal while transitioning Android Security duties.
Google has made its internal code review guides public on GitHub. One guide covers reviewers, another covers authors and defines terms like LGTM and CL. The repository shows how Google standardizes its code review process.
- Google published its internal code review guides (reviewer and author docs) publicly on GitHub under google/eng-practices.
- The guides mandate no CL sit unreviewed for more than 24 hours.
- Author guide specifies concrete conventions like "<area>: <summary>" commit messages and splitting big features into logical CLs.
- Reviewer guide gives specific checklists covering security, readability, test coverage, and performance (including C++ memory-allocation checks).
Google liberó DESIGN.md, un estándar en un solo archivo que describe tokens de diseño, valida accesibilidad según WCAG y facilita la portabilidad entre proyectos. Nace como respuesta a Claude Design de Anthropic, ofreciendo código abierto y uso gratuito para cualquier IA y plataforma.
- Google released DESIGN.md, an open-source, single-Markdown-file standard for defining design tokens (colors, typography, spacing, component roles) usable by any AI or platform
- It automatically checks accessibility against WCAG rules, flagging contrast/ARIA issues as components are generated
- The file is portable across tools (GitHub, Figma plugins, Anthropic's tools) with no lock-in or conversion needed
- It's positioned as a free, open alternative to Anthropic's closed, costly Claude Design tool
Since the “Boob Shirt Guy” grilled Sergey Brin about “woke” Gemini images over a Subway sandwich two years ago, Google’s market value has climbed by more than $3 trillion. The tweet highlights how that odd Q&A moment now anchors a period of massive growth for the company.
- Google's market cap has risen over $3 trillion since the viral "Boob Shirt Guy" SXSW incident with Sergey Brin two years ago
- Alphabet's valuation grew from roughly $1.4 trillion to over $4.4 trillion in that span
- Growth was driven by YouTube ad sales highs, Google Cloud enterprise deals, and AI features (Gemini) integrated into Workspace and Search
This page displays the fallback message shown when JavaScript is disabled on Google Maps. It states that with JavaScript off the page remains empty and prompts you to enable it to see the map.
- Google Maps shows a Sherlock Holmes-style joke line ("When you have eliminated the JavaScript, whatever remains must be an empty page") when JavaScript is disabled.
- The page offers no static fallback—without JavaScript, no map tiles, controls, or markers load at all.
- Enabling JavaScript is the only way to restore functionality; there's no workaround.
Apple celebrated its 50th anniversary while facing significant challenges in the AI space. The company is shifting its strategy by partnering with Google for AI enhancements to Siri, amid concerns about user data and competition from rivals. Industry analysts suggest Apple must adapt quickly to maintain its relevance in a rapidly evolving technological landscape.
- Apple is licensing Google's Gemini AI to power upgraded Siri features, a reversal of its privacy-first stance that risks feeding user data into Google's ad business
- Siri has stagnated since its 2011 launch, with insiders like co-founder Dag Kittlaus arguing it never reached its potential without Steve Jobs' vision
- Apple is betting on on-device AI chips to process queries locally rather than in the cloud, aiming to preserve privacy while catching up on AI capability
- New AI features are slated by year-end, but early consumer reaction has been mixed, reflecting doubts about Apple's overall AI strategy
Google’s recent paper reveals that Shor’s algorithm can potentially break the cryptography used by Bitcoin and Ethereum with fewer than 500,000 qubits. The paper discloses significant architectural details, suggesting that reproducing similar circuits is feasible for well-resourced quantum research teams. However, the actual hardware needed for an attack remains a substantial barrier.
- Google's paper shows Shor's algorithm could break Bitcoin/Ethereum's 256-bit ECC with under 500,000 physical qubits in about nine minutes—roughly Bitcoin's block time.
- Even though Google withheld exact circuit details, the disclosed architecture (kickmix design, modular inversion, ~2.7 million non-Clifford gates per point addition) gives skilled teams enough to replicate similar circuits within months.
- Goertzel estimates a small expert team could reproduce circuits within 2-3x Google's efficiency in 6-12 months, and even a 2x-worse circuit would still threaten current cryptography.
- The real barrier isn't algorithmic knowledge but building the actual hardware, though well-funded labs or defense contractors could plausibly pursue it.
Google is creating a new fitness band under the Fitbit brand to rival screenless devices from companies like Whoop and Oura. Set for release later this year, the band will offer basic features with a subscription model for advanced functionalities.
- Google is developing a new screenless Fitbit band to compete with Whoop and Oura, expected to launch later this year.
- The device will require a paid subscription to unlock advanced features, following the Whoop/Oura business model.
- The strategy leans on the existing Fitbit brand to gain traction in the screenless wearable market and generate subscription revenue.
Google now allows US users to change their Gmail usernames without creating a new account. This feature is rolling out widely after months of testing, but users can only change their address once every 12 months to help reduce spam.
- Google now lets US Gmail users change their username without creating a new account, rolling out after months of testing.
- Username changes are limited to once every 12 months, likely to curb spam and protect account security.
- The feature launched around Gmail's 22nd anniversary (April 1), though availability is still spreading to all users.
Apple is partnering with Google temporarily to address immediate AI needs while preparing to produce its own AI-focused server chips by late 2026. Analyst Ming-Chi Kuo highlights that this collaboration is aimed at managing expectations and enhancing Apple's AI capabilities amid growing competition in the field.
- Apple's Google AI partnership is a stopgap, not a long-term strategy—Kuo frames it as buying time while Apple builds its own AI infrastructure
- Apple plans mass production of in-house AI server chips by H2 2026, with new data centers coming online in 2027
- Google's Gemini will power a more personalized Siri launching later this year, confirming the partnership's immediate practical impact
- Even a fully delivered version of Apple's original AI plans may already lag behind competitors due to how fast cloud-based AI has advanced
Google has launched its powerful Gemini AI model, which has outperformed competitors, including OpenAI's ChatGPT, to become the leading AI chatbot. The company's extensive investment in research and hardware development has enabled it to protect its search business amidst the growing popularity of chatbots.
- Google's Gemini model has overtaken ChatGPT to become the top-ranked AI chatbot
- Years of heavy investment in in-house AI research and custom hardware (TPUs) let Google catch up after appearing to lag OpenAI
- That infrastructure edge is also helping Google defend its core search business against the threat posed by chatbots