aiturtlesai

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Project Rainier: The New Summit of AI Designed by AWS

  AWS is building Project Rainier, a massive EC2 UltraCluster cluster with over 400,000 Trainium2 chips distributed across multiple US data centers. Designed to train frontier AI models like Claude with exaflop compute power and high-efficiency networking. Key Points: EC2 UltraCluster cluster with tens of thousands of UltraServers, each with 64 Trainium2 chips connected via NeuronLink. Five times the compute capacity of Anthropic’s current largest cluster. Distributed architecture... read more: https://www.turtlesai.com/en/pages-2940/project-rainier-the-new-summit-of-ai-designed-by

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Intel Nova Lake Aims at Gaming With Boosted Cache and More Cores

  Intel’s upcoming NovaLake desktop processors could include versions with increased L3 cache (“bLLC”), similar to AMD’s 3D V-Cache technology, aiming to regain traction in the gaming and enthusiast space. Key Points: Two NovaLake models (8P+12E and 8P+16E) could feature bLLC The move follows Intel management guidance on Foveros/EMIB Desktop SKUs promise up to 4 additional LP-E cores and 2.16× cores and threads TDPs of up to 150W to accommodate high desktop... read more: https://www.turtlesai.com/en/pages-2939/intel-nova-lake-aims-at-gaming-with-boosted-cache

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AI and Books: Anthropic Wins on Fair Use but Takes a Big Risk for Piracy

  Anthropic Gets Green Light on Purchased Book Training (Fair Use), but Will Face Separate Trial for Use of Over 7M Pirated Copies. Judge Alsup Sets Significant Precedent. Key Points: Use of purchased and destroyed books for digitization is fair use.  Claude’s training deemed “quintessentially transformative” by courts.  Large-scale piracy (Books3, LibGen, PiLiMi) not justified and subject to prosecution.  Liability Implications: Even if Anthropic later buys pirated copies, it is not immune... read more: https://www.turtlesai.com/en/pages-2938/ai-and-books-anthropic-wins-on-fair-use-but

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AI Learns to Hear: The Era of Empathy in Language Models

  LAION’s release of EmoNet, along with benchmarks like EQ-Bench, highlights how AI is targeting emotional skills: from facial/voice recognition to the ability to reason about emotions in social contexts. Key Points: EmoNet offers face/voice models with 40 emotions and validated synthetic datasets. EQ-Bench 3 assesses social EQ in LLM via role-play, with advances in OpenAI and Gemini. Studies (Bern) show LLM ~80% vs. humans ~56% in emotional psychometric tests. Challenges:... read more: https://www.turtlesai.com/en/pages-2937/ai-learns-to-hear-the-era-of-empathy-in

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Your Body Becomes a Remote Control: Heres How Robots Sense Force and Intention

  H2L’s Capsule Interface uses muscle sensors to translate intent and physical force into real-time commands for humanoid robots like the Unitree H1. Together with TWIST, advanced teleoperation systems open up immersive human-machine collaboration scenarios. Key points: Muscle control to also transfer force exerted Interaction while sitting or lying down, without bulky exoskeletons Applications for logistics, agriculture, home and virtual care Upcoming developments... read more: https://www.turtlesai.com/en/pages-2936/your-body-becomes-a-remote-control-here-s-how-robots

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OpenAI Restructures Security Team: Targeted Cuts to Address AI Model Escape Risk

  OpenAI has laid off members of its Insider Risk Team, which is tasked with protecting model weights. The move follows new US restrictions on the export of sensitive AI technology. The measures are aimed at thwarting internal theft and foreign espionage, while also tightening security and compliance. Key Points: Cuts to OpenAI’s Insider Risk Team, which focuses on securing OpenAI’s model weights New US regulations (“AI Diffusion Rules”) limit international transfers of weights Expanding... read more: https://www.turtlesai.com/en/pages-2935/openai-restructures-security-team-targeted-cuts-to-address-ai

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Tesla turns the spotlight on Austin: robotaxi debuts amid excitement and initial hitches

Tesla has launched a pilot robotaxi service in Austin today with a fleet of 10–20 Model Ys, operating from 6 a.m. to midnight, monitored by teleoperators and a passenger seat attendant. Key points: A flat rate of $4.20 per ride within a geofenced area. An on-board operator and remote teleoperators for emergency response. Clip shows the vehicle repeatedly attempting to swerve into the wrong lane. It competes with Waymo (level 4, LiDAR sensors) while... read more: https://www.turtlesai.com/en/pages-2934/tesla-turns-the-spotlight-on-austin-robotaxi-debuts-amid

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LinkedIn the AI assistant writes little: used less than expected by users

  In an interview with Bloomberg, LinkedIn CEO Ryan Roslansky admits that the AI ​​assistant to improve posts has had a lukewarm reception: too much apprehension towards an impeccable professional image and the risk of damaging job opportunities with content attributable to AI. In the meantime, however, the demand for AI skills is exploding and Roslansky himself uses Copilot before writing to Satya Nadella. Key points: AI Assistant not used as much on LinkedIn as expected Posting on LinkedIn is perceived as a delicate action, almost a business... read more: https://www.turtlesai.com/en/pages-2933/linkedin-the-ai-​​assistant-writes-little-used-less-than

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Deezer Lifts the Veil on AI-Created Music

  Deezer introduces “AI generated content” labels on albums with artificially generated tracks, excludes them from automatic discovery and blocks royalty payments related to fraudulent streams. The move combats an 18% daily invasion of AI uploads. Key Points: 18% of songs uploaded daily to Deezer are AI-generated About 70% of streams on these tracks are fake, powered by bots Deezer labels, excludes from playlists and blocks payments for these tracks Two patents filed in December... read more: https://www.turtlesai.com/en/pages-2932/deezer-lifts-the-veil-on-ai-created-music

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Amsterdam and the Ethical Algorithm: A Failed Experiment in Social Services

  Amsterdam invested millions in an “accountable” AI system to detect fraud in social benefits, following rigorous criteria of fairness and transparency. Despite repeated audits and corrections, the model failed: it returned errors, biases and did not outperform human operators. Key points: The SmartCheck project used an “explainable” algorithm and ethical guidelines. Direct participation of beneficiaries to reduce bias and improve transparency. In the pilot phase (2023) biases reappeared and the effectiveness did not surpass human work. At the end of 2024... read more: https://www.turtlesai.com/en/pages-2931/amsterdam-and-the-ethical-algorithm-a-failed-experiment-in

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OpenAI Signs $200M Pentagon Deal to Develop Defense-Applied AI

  OpenAI has been awarded a $200 million contract by the U.S. Department of Defense to develop advanced AI prototypes for both operational and government purposes as part of the new “OpenAI for Government” initiative. Key Points: First formal contract with the Pentagon under “OpenAI for Government.” Towards AI prototypes for warfare and business functions. Involvement in military cyber and healthcare. Existing collaboration with Anduril for drone defense. OpenAI, based in San Francisco and founded by Sam Altman, has been awarded... read more: https://www.turtlesai.com/en/pages-2930/openai-signs-$200m-pentagon-deal-to-develop-defense-applied

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Xbox and AMD Team Up for the Next Generation of Gaming Devices

  Xbox has announced a multi-year partnership with AMD to co-design chips for consoles, handhelds, PCs and the cloud. The new hardware will be compatible with the current Xbox library, integrate AI graphics capabilities, run on Windows and support multiple stores. Key Points: Multi-year strategic partnership between Xbox and AMD for custom chips Cross-platform support: console, portable, PC, cloud Backward compatibility guaranteed with existing Xbox games Devices not tied to single stores, Windows integration Microsoft,... read more: https://www.turtlesai.com/en/pages-2929/xbox-and-amd-team-up-for-the-next-generation

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MiniMax-M1 Challenges AI Giants With 1M Token Open Source LLM

  MiniMax-M1 is an open source LLM model released under the Apache2.0 license by MiniMax, a Shanghai startup backed by Alibaba, Tencent and IDG Capital. It boasts a 1 million token context window, efficiency thanks to the Lightning Attention mechanism and low RL costs. Key Points: Context up to 1M input and 80K output Hybrid Mixture-of-Experts architecture with LightningAttention RL training using CISPO algorithm in 3 weeks on 512 H800 GPUs Training cost: about $535K, vs. 5–6M$ for DeepSeek R1 MiniMax, founded in Shanghai... read more: https://www.turtlesai.com/en/pages-2928/minimax-m1-challenges-ai-giants-with-1m-token-open

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Salesforce Pushes AI Raises Prices for Advanced Plans

  Salesforce, starting August 1, increases prices by 6% for the Enterprise and Unlimited editions of Sales, Service, Field Service and some Industry Clouds, justifying the decision with the increasingly deep integration of its services with AI agents and Agentforce. Key points: Average increase of 6% on Enterprise/Unlimited CRM plans. Public launch of new Agentforce SKUs: $125 add-on and “1Edition” at $550 per month per user. Internal research reports that LLM agents correctly perform CRM tasks only in 58% of cases... read more: https://www.turtlesai.com/en/pages-2927/salesforce-pushes-ai-raises-prices-for-advanced-plans

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Pope Leone XIV Addresses AI: The Church at the Center of the Global Debate

read more: https://www.turtlesai.com/en/pages-2926/pope-leone-xiv-addresses-ai-the-church-at-the

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Meta Unites Fashion and Technology: Smart Glasses Coming with Prada and Oakley

  Meta is expanding its AI smart glasses line by collaborating with Prada after the success with Ray-Ban and Oakley. Oakley will launch on June 20, estimated price $360. Key Points: Meta–Prada collaboration for AI smart glasses. Oakley sports model imminent launch on June 20. Expected price for Oakley: around $360. Prada chosen for elegant style and thick arms suitable for components. Meta continues the evolution of the wearable segment: after selling... read more: https://www.turtlesai.com/en/pages-2925/meta-unites-fashion-and-technology-smart-glasses-coming-with

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Amazon Rethinks Corporate Workforce: AI Will Change Roles and Skills

  Andy Jassy announces that the widespread integration of generative AI will lead to a reduction in corporate roles at Amazon, balanced however by new technical and strategic profiles. Key points: The growing adoption of AI agents will profoundly change Amazon’s internal operations. Some administrative and repetitive roles will be replaced, emerging new roles related to AI. The extent of the cuts is not quantifiable, but the process is expected in the coming years. A large portion of global companies, according to the WEF, are considering... read more: https://www.turtlesai.com/en/pages-2924/amazon-rethinks-corporate-workforce-ai-will-change-roles-and