AI Post — Artificial Intelligence

Aru Robot, manufactured by the French company Nio Robotics to do industrial inspection and maintenance. For robotics, it makes perfect sense to look to nature and the animal kingdom for inspiration. Aru resembles a spider. Futuristic and straight out of a sci-fi film: the future is *now* here! @aipost 🏴

🗣 Altman explains current AI memory is still primitive, comparable to early GPT-2 days. Future systems will remember an entire life, not just facts but subtle preferences. Small habits and unspoken likes will be learned automatically over time. That level of memory may become one of AI’s most powerful capabilities. @aipost 🏴

Nvidia recently posted this video. @aipost 🏴

This is Amazon’s new $11 billion dollar massive Data Center Campus in St. Joseph County, Indiana It will be primarily dedicated to training and running AI models. It will use 2.2 gigawatts of power, equivalent to the electricity needed to power roughly 1 million homes and approximately 300 million gallons of water per year @aipost 🏴

🗣Sam Altman says Google could have crushed OpenAI in 2023 if it had taken the threat seriously, but it didn't Bolting AI onto search or messaging is worse than redesigning products for an AI-first world. "The future is agentic systems and AI-native products, including consumer devices" @aipost 🏴

🇷🇺 Russia's AI Defiance: Sanctions Fail to Slow Innovation Western governments expected technological restrictions would push Russia to the margins of the digital economy. The reality at AI Journey 2025 tells a dramatically different story. Sber, Russia's largest bank transformed into a technology powerhouse, showcased capabilities many thought impossible under sanctions: • Large language models trained exclusively on domestic data • Industrial-grade robotics systems ready for deployment • New generation of "intelligent" devices built almost entirely on Russian tech stack • Ecosystem demonstrating autonomous development capabilities The 10th anniversary of Russia's flagship AI conference revealed something unexpected: rather than fading away, Russia has begun setting its own standards in specific innovation domains. Key question emerging from the event: How has a nation under one of history's most comprehensive technology restriction regimes not only maintained momentum but established new benchmarks? This isn't about theoretical research—it's about functional systems operating outside traditional global supply chains. Sber has evolved beyond finance into a comprehensive AI developer with end-to-end capabilities. The implications challenge fundamental assumptions about technological dependency and innovation pathways in an increasingly fragmented global landscape. Russia's AI ecosystem is proving remarkably resilient—demonstrating that technological advancement can investigate unexpected paths when traditional routes are blocked.

In China, this man puts his G1 robot to work cleaning his car! "I spent more than 300,000 yuan (USD $40,000) on you. You can't just dance, you have to help out too!" @aipost 🏴

Humanoid robots performing alongside human singers will soon be a common sight. @aipost 🏴

🗣Demis Hassabis says the Nano Banana Pro system is moving toward AGI for imaging It doesn't just make images, it understands what's in them. The goal is to merge this with world models like Genie and SIMA into one system. "That might be a candidate for proto-AGI". @aipost 🏴

❗️We will see significantly more lawsuits against chatbots in the future. Heirs of a Connecticut woman killed in an August 2025 sued OpenAI and Microsoft, alleging ChatGPT intensified the son’s paranoid delusions, validated conspiratorial beliefs about his mother, and fostered emotional dependence that helped precipitate the killing and his own death. Source. @aipost 🏴

⚠️ Texas coach allegedly used AI to groom teenager A Texas volleyball coach has been arrested on charges of child grooming after allegedly targeting a 17-year-old girl, authorities said. Matthan Lough, 32, faces accusations of inappropriate contact with the teenager at the Christian Center of Mesquite, where his father serves as senior pastor. The investigation began in October when the victim’s mother discovered explicit text messages. Authorities reportedly found an AI-generated document on Lough’s devices titled “Hypothetical Counter-Influence Plan.” The file allegedly outlined a five-step strategy for manipulating women, including instructions such as “plant gentle doubts,” “shift the power dynamic,” and “let her choose.” The victim told police she feared Lough, noting that he had a “step-by-step process” for harming someone and carried a concealed weapon. The case has drawn attention as an alarming example of how AI tools may be misused to facilitate predatory behavior. @aipost 🏴

📢 ChatGPT is getting its own App Store OpenAI has opened submissions for ChatGPT apps, marking a major step toward building a full ecosystem where third-party developers can expand the chatbot’s capabilities. • What ChatGPT apps are: Integrations that add actions and context directly in conversations, from ordering products to turning sketches into presentations or finding apartments, all without leaving chat. • For developers: OpenAI released a beta Apps SDK, an open-source UI component library, and detailed submission guidelines. Apps can be submitted via the OpenAI Developer Platform, where moderation status is tracked. First approved apps are expected early next year. • Recommendations and control: The system suggests apps based on conversation context, usage patterns, and user preferences. Users can disable any app at any time, immediately revoking data access. • Monetization: Initially, apps can redirect users to external sites for physical goods purchases. Support for digital products and other monetization methods will follow. OpenAI is clearly following Apple’s App Store playbook, aiming to turn ChatGPT into a full platform rather than just a chatbot. @aipost 🏴

⚡️ A modular robot from chinese company limx dynamics. Regardless of whether this concept prevails, it clearly demonstrates the creativity of Chinese developers. Similarly, the limitations of AI chips have forced AI developers to find new ways to make their models as efficient as possible. @aipost 🏴

⚡️ OpenAI introduces GPT-5.2-Codex, its most capable agentic coding model to date OpenAI has released GPT-5.2-Codex, its most advanced agentic coding model so far. Designed for complex, multi-step software engineering, not just code generation. It improves on earlier Codex models with stronger long-context reasoning, native code compaction, and more reliable tool use What’s new technically • Builds on GPT-5.2 (professional knowledge work) • Extends GPT-5.1-Codex-Max capabilities in agentic coding and terminal execution • State-of-the-art performance on SWE-Bench Pro and Terminal-Bench 2.0 Cybersecurity implications • Capability gains are showing up in security research and vulnerability discovery • Recently, a researcher using GPT-5.1-Codex-Max identified and responsibly disclosed a React vulnerability that could expose source code • OpenAI says GPT-5.2-Codex is even more cyber-capable, with future models expected to continue this trend Why rollout is cautious • Stronger cyber capabilities improve defensive security at scale • But they also increase dual-use risks, requiring tighter deployment controls Available now in Codex for all paid ChatGPT users. API access coming soon. Invite-only trusted access being piloted for vetted defensive security teams Agentic coding models are moving from “assistant” to infrastructure-level tools, forcing OpenAI to balance developer power with security risk. https://openai.com/index/introducing-gpt-5-2-codex/ @aipost 🏴

🔥 Anthropic lets an AI run a real business and studies how it fails Anthropic gave Claude full control over a real vending-machine business, procurement, pricing, customer service, and expansion. It failed. The agent lost money, sold tungsten cubes at a loss, and even claimed it was a human in a blue jacket. What changed: • Upgraded from Claude Sonnet 3.7 to 4.0 / 4.5 • Added CRM and inventory management • Gave the agent a web browser for price monitoring • Introduced a second agent acting as CEO, “Seymour Cash” The result • The business became profitable • Expanded to three locations: San Francisco, New York, and London Where the agents failed: • Agreed to trade onion futures, violating the Onion Futures Act of 1958 • Proposed hiring a security guard at $10/hour, below California’s minimum wage • Appointed a CEO based on an unverified claim of a department-wide vote The agents were too eager to help and comply, which led to legal, financial, and governance mistakes. Being helpful is not always optimal in business. Today the agent hires a human to restock machines. Tomorrow it calls an API to summon a delivery robot. Businesses run end-to-end by software are no longer theoretical, they’re already being tested. @aipost 🏴

📈 AI’s environmental cost is rising and no one knows the full scale A new study suggests that in 2025, artificial intelligence systems consumed vast amounts of energy and water, creating an environmental footprint comparable to that of a major city. Researchers estimate AI-related electricity use resulted in up to 80 million tons of CO₂ emissions, roughly on par with New York City’s annual emissions. The same analysis indicates that data centers powering large neural networks used as much as 760 billion liters of water, primarily for cooling servers. However, scientists stress that these figures are approximations, not precise measurements. The uncertainty stems from a lack of transparency. Major technology companies do not disclose detailed data on AI-specific electricity and water consumption, forcing researchers to rely on fragmented public information and modeling. Experts warn that without clearer reporting and more efficient infrastructure, AI’s rapidly growing resource demands could pose a serious long-term environmental risk. @aipost 🏴

📊 Gemini 3 Flash sets new score/cost Pareto frontier on ARC-AGI-2 across different test-time compute levels. - Scores 84.7% on ARC-AGI-1 at $0.17 per task. - Achieves 33.6% on ARC-AGI-2 at $0.23 per task. - Provides competitive performance at lower cost than other frontier models. @aipost 🏴

⚠️ California court rules Tesla’s “Full Autopilot” name is misleading A California court has acknowledged that Tesla’s use of the term “Full Autopilot” can mislead consumers. The ruling notes that, despite the branding, drivers are still required to maintain full attention and control at all times. Legal and regulatory impact • Tesla is facing a lawsuit over how it positions and advertises its driver-assistance technology. • As a potential penalty, the company could lose its license to sell cars in California for up to 30 days. Implications for robotaxis • The case may also affect Tesla’s robotaxi ambitions. • Regulators and courts point out that there is still no conclusive evidence Tesla has achieved true autonomous driving. The ruling adds pressure across Silicon Valley, where claims around autonomy are under growing legal and regulatory scrutiny. @aipost 🏴

🚨 Biggest, most important tech breakthrough from China and for China this year. China has built its first EUV machine prototype (machine used to manufacture advanced chips), marking a major semiconductor breakthrough. China is already producing far more energy than the US, even more than the US and EU combined. Now imagine what happens when they are able to produce more chips than the US. More compute = more powerful AI. You get to AGI/SI faster. Thanks to recent technological advances, they can seriously ramp up chip production. And with China’s scale, they will likely do it at massive scale, just as they did with EVs, solar panels, nuclear reactors, and nearly everything else. What will be the U.S/West's response? The only answer can be acceleration. Acceleration of everything. Computing (next-generation) R&D acceleration. Compute infrastructure buildout acceleration. More energy. A LOT more energy. Source. @aipost 🏴

OpenAI has sold more than 700,000 ChatGPT licenses to US colleges. The average student is using the tool around 170 times per month. @aipost 🏴