PhoneBot is an open-source humanoid robot platform designed for makers and developers that repurposes low-cost or older Android smartphones as its primary processing brain and vision system. By leveraging an inexpensive smartphone's onboard camera, sensors, computing power, and wireless connectivity, the platform significantly lowers the barrier to entry for building functional robotics. Creators can program motor controls, computer vision routines, and interactive behaviors directly through accessible mobile hardware, offering a practical framework for affordable robotics development and experimental AI applications.

AI startup Anthropic announced a commitment to direct 5% of its equity toward a public benefit fund aimed at supporting long-term safety, public research, and societal well-being initiatives. The pledge aligns with the company's corporate structure as a public benefit corporation, which obligates leadership to balance financial interests with public good. According to Anthropic, the allocated shares will fund independent research, safety benchmarking, and programs designed to address potential risks associated with advanced artificial intelligence models. The decision reflects growing industry pressure on AI developers to ensure that commercial expansion remains aligned with broader ethical and safety considerations.

Venture capital firm Benchmark continues to adhere to its traditional, highly focused investment strategy despite the intense frenzy surrounding AI startup valuations. Speaking about their approach, Benchmark's general partners emphasized maintaining a small, equal-partnership fund structure rather than raising multi-billion-dollar mega-funds. The firm deliberately limits its investments to a few high-conviction deals each year, requiring partners to take active board seats and conduct meetings in person in San Francisco. By refusing to rush transactions or chase inflated market trends, Benchmark aims to provide deep, hands-on support to early-stage founders.

Plans for a final album release feature a posthumous collaboration with Michael Jackson, generated through artificial intelligence voice synthesis technology. Using machine learning models trained on archival vocal stems, producers recreated Jackson's vocals to complete unreleased material for the upcoming project. The release highlights growing industry trends in using AI tools to construct posthumous features, while raising ongoing questions around copyright, artistic consent, and the ethical boundaries of digital performance recreation.

Intel is reportedly developing a specialized GPU designed for artificial intelligence workloads that features up to 480GB of memory. Instead of using high-cost High Bandwidth Memory (HBM) or GDDR7, the card utilizes lower-cost LPDDR5X system memory. This architectural choice prioritizes ultra-high memory capacity over maximum bandwidth, offering a more affordable solution tailored for AI inference and running massive language models. By sacrificing peak memory speed in favor of vast memory capacity, Intel aims to target cost-sensitive enterprise environments that require extensive memory to load large AI models without the premium price tag of traditional data center GPUs.

Sphinx is a git hook tool designed to prevent developers from committing AI-generated code they do not fully understand. Integrated into the development workflow, Sphinx analyzes recent code changes and quizzes developers on the underlying logic, edge cases, and functionality before permitting a push or commit. By requiring engineers to demonstrate comprehension of AI-assisted output rather than blindly trusting generated snippets, Sphinx aims to reduce bugs, encourage active code review, and maintain codebase reliability.

Singer Olivia Rodrigo clarified that no artificial intelligence was used in creating the visuals for her music video project alongside Chappell Roan, responding to online speculation triggered by surreal visual design elements. The creative team emphasized that the distinct effects were produced entirely through traditional, hands-on techniques such as physical stop-motion animation and manual artwork created by human artists. The clarification highlights growing artist awareness and public scrutiny surrounding generative AI in creative industries, where musicians increasingly defend human craftsmanship against automated generation.

Anthropic has granted non-profit AI evaluation organization METR high-level, employee-like access to inspect its frontier AI models prior to public release. This arrangement provides external safety researchers with fine-grained API access, internal documentation, and direct communication channels with Anthropic staff, enabling rigorous pre-deployment testing for potential risks such as autonomous cyberattacks or misuse for chemical, biological, radiological, or nuclear threats. By integrating third-party evaluators directly into its safety workflow, Anthropic aims to establish deeper independent oversight and set a benchmark for transparent model auditing across the industry.

DeepSeek offers a search and fetch API enabling developers to integrate real-time web search and webpage content retrieval into their applications and AI workflows. The service allows querying the web for current information and fetching specific webpage text to supply context for model prompts. Billing is based on usage at a rate of $0.75 per 1,000 successful requests, meaning charges only apply when data retrieval completes successfully. This capability allows developers to ground language model responses in up-to-date web content beyond fixed training cutoff dates.

OnlyFans creators and adult performers are criticizing Meta over perceived double standards after the company allowed its AI chatbots, including an AI persona named Muse, to participate in sexually suggestive and dirty talk. Human creators report that Meta strictly censors, shadowbans, or removes their accounts on Instagram and Facebook for posting far less explicit content or referencing their work. While Meta maintains that its AI features operate under safety guardrails, adult workers argue that tech platforms profit from AI-generated sexual content while continuing to marginalize and penalize real human creators who rely on social media to build their livelihoods.

Data center operators are hosting student field trips, funding STEM initiatives, and creating interactive museum exhibits to reshape their public image and cultivate a future workforce. Driven by the rapid expansion of artificial intelligence, data center development has faced growing local pushback over heavy energy consumption, water usage, and noise pollution. By introducing K-12 students to their facilities, industry organizations aim to demystify data center operations, foster long-term goodwill among future community members, and address an ongoing shortage of skilled technical labor.

Nvidia CEO Jensen Huang praised Microsoft’s high-performance Surface laptops featuring dedicated Nvidia RTX graphics, describing the engineering collaboration between the two companies as a work of love. Huang highlighted how embedding discrete RTX GPUs into thin, portable hardware provides creators and professionals with the local compute power needed for intensive AI applications, 3D rendering, and demanding creative workloads. The partnership underscores an industry-wide transition toward AI PCs, where onboard GPU acceleration enables fast, local AI processing directly on the device.

The U.S. Air Force has contracted weather technology startup WindBorne Systems to acquire atmospheric data collected by its fleet of autonomous high-altitude balloons. WindBorne's Global Sounding Balloons utilize artificial intelligence algorithms to navigate stratospheric wind currents, gathering critical meteorological metrics including temperature, pressure, humidity, and wind speed. This real-time atmospheric data is designed to refine global weather forecasting models, offering military commanders enhanced environmental intelligence for mission planning and flight operations in remote or data-sparse regions lacking traditional ground infrastructure.

Wipro is facing heightened scrutiny as a slump in large deal bookings tests the impact of its AI-driven growth strategy. Despite committing $1 billion to its AI360 initiative and training hundreds of thousands of employees in artificial intelligence, sluggish demand in core IT services and cautious enterprise spending continue to weigh on its revenue. While leadership contends that integrating generative AI into service delivery will yield long-term competitive advantages, macroeconomic headwinds and delayed client decision-making highlight a gap between Wipro's AI investments and immediate financial returns.

Zotac has launched the Magnus One Ultra, an 8.3-liter compact desktop PC featuring a full-sized Nvidia GeForce RTX 5080 GPU with 16GB of GDDR7 VRAM. Priced at approximately $2,647, the system is sold barebones, requiring buyers to separately purchase and install their own DDR5 RAM, M.2 SSD, and operating system. Powered by an Intel Core Ultra processor and an 850W Platinum power supply, the unit can drive up to six 4K monitors using its DisplayPort, HDMI, and Thunderbolt 4 outputs. Its small footprint and high-performance graphics card make it a powerful option for intensive creative tasks, rendering, and local AI workloads in space-constrained setups.

Meta has updated its terms of service to remove controversial language that had raised concerns over automated web scraping and the use of user content for artificial intelligence model training. The wording change comes after criticism from creators, privacy advocates, and regulators over consent and copyright issues. While the revised language clarifies Meta's current policy boundaries, questions persist regarding how previously gathered data was utilized for model development.

Microsoft is expanding its custom silicon strategy with the Maia 300 AI accelerator, prioritizing memory bandwidth and energy efficiency over raw compute capacity. Delivering a 2.5-fold increase in memory bandwidth and an estimated 40% efficiency improvement, the in-house chip is designed to optimize large language model workloads within Azure data centers. By transitioning toward proprietary hardware similar to Google’s TPU approach, Microsoft aims to cut operational costs and reduce its heavy reliance on Nvidia’s GPUs, potentially altering the competitive dynamics of the AI infrastructure market.

Llmspeed is an interactive web tool that lets users experience real-time text generation speeds of local large language models across different hardware configurations before buying equipment. By simulating streaming token outputs for various model sizes paired with specific chips like Apple Silicon or NVIDIA GPUs, the simulator helps buyers visualize how fast an LLM would actually feel during daily use. This allows users to better evaluate performance trade-offs between hardware choices and select setup configurations aligned with their speed requirements and budget.

Mainstream filmmaking has increasingly prioritized corporate risk mitigation, relying on bloated budgets, established intellectual property, and algorithm-driven streaming strategies over artistic risk. This shift has eroded narrative depth and visually diluted movies through over-dependence on rushed digital effects. To restore cinema's quality and cultural resonance, studios must reinvest in original mid-budget feature films, grant directors greater creative autonomy, and establish strict safeguards against replacing human creative labor with generative artificial intelligence.

Bingo Liu, CEO of Oppo Europe, aims to break the Apple and Samsung duopoly in the region's premium smartphone market by positioning Oppo as a viable third option. Following the resolution of European patent disputes that previously stalled its growth, Oppo is renewing its expansion with a focus on flagship foldables and advanced hardware. A central pillar of this strategy involves integrating generative AI tools and chatbots like ChatGPT across its device lineup, extending capabilities typically reserved for high-end phones to more affordable models to attract consumers seeking fresh mobile experiences.