AI News Brief: Alphabet (Google’s parent company) is designing a new server chip for its Gemini model, internally codenamed ‘Frozen v2’. According to a report by The Information citing anonymous sources, this chip is expected to launch in 2028 and could be 6 to 10 times more efficient than Google’s current AI chips, measured by the number of tokens generated per unit of power…
AI News Brief: Chris Fall has resigned as director of the US Center for AI Standards and Innovation (CAISI), confirmed by the agency to multiple media outlets though no reason was given. Fall took the position just three months ago, succeeding Collin Burns who left after less than a week — reportedly due to his prior work at Anthropic while the Trump administration was feuding with the company. Before them, CAISI was led by venture capitalist David Sacks as White House AI and crypto policy chief until his March departure. Fall previously served as DOE Office of Science director (first Trump term) and acting ARPA-E director. CAISI sits under NIST and handles AI model technical standards, testing methods, and cybersecurity risk assessment, but was not the lead agency in the June Commerce export-control dispute over Anthropic’s Mythos and Fable models. This month the White House signed an executive order creating the Gold Eagle AI safety oversight plan, which notably excluded CAISI. Meanwhile, Google DeepMind CEO Demis Hassabis called for an independent industry standards body modeled after FINRA to regulate frontier AI — exactly what CAISI was created to do. Fall’s resignation comes as China’s Moonshot released Kimi, whose performance approaches frontier-level models, reigniting debate over whether the US should ban Chinese open-source models.
AI News Brief: Anthropic received final approval from a federal judge this Monday to pay $1.5 billion to settle a copyright class action lawsuit — the largest settlement in U.S. copyright law history. Judge William Alsup of the Northern District of California had preliminarily approved the deal last year, finding that Anthropic had illegally downloaded and stored millions of copyrighted books; after Alsup retired, Judge Araceli Martinez-Olguin officially signed the approval this Monday. Under the settlement terms, roughly 500,000 works are eligible for $3,000 each, shared among rights-holding authors and publishers. However, many authors and creators don’t view this as a victory, because the ruling on the case’s core legal question actually favored Anthropic: Alsup determined that training AI models on copyrighted text qualifies as fair use, a decision seen as a pivotal turning point for the AI industry. But the ruling didn’t absolve Anthropic of responsibility for how it sourced its books — its training data came from two channels: books it purchased and scanned (legal), and books downloaded from piracy sites like Library Genesis and Pirate Library Mirror. Alsup ruled the latter itself constitutes illegal behavior and said the piracy claims could proceed to jury trial; Anthropic then agreed to settle to avoid going to court and facing potentially massive damages. Because the settlement prevents the case from being appealed to form binding precedent, broader industry legal questions remain unresolved — Google, Meta, Midjourney, OpenAI and others still face similar copyright lawsuits. Just last week, a group of publishers and authors including Hachette, Cengage, Elsevier, and writer Scott Turow sued Google, alleging it used copyrighted works to train Gemini.
AI News Brief: Apple filed a trade secrets lawsuit against OpenAI last Friday, accusing OpenAI of systematically inducing current and former Apple employees to leak confidential information. OpenAI responded saying it is ’not aware of any evidence supporting this lawsuit.’ On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha discuss whether this lawsuit will cast a shadow over OpenAI’s highly anticipated hardware plans and IPO…
AI News Brief: Non-profit Current AI is building open public AI infrastructure to solve problems like ‘Indian rural farmers who want to look up info on dying crops but don’t speak English.’ This February at the India AI Summit, the org partnered with India’s government language division Bhashini to launch Suno Sutra (Hindi for ’listening chronicles’), an open-source device that runs offline, supports 22 Indian languages, and is open-sourced for the developer community to extend…
AI News Brief: Nolan considers AI a Trojan horse that everyone knows hides Greeks inside — this Odyssey director interview comes as his new film adapting Homer’s epic soars at the box office. Interviewer Hugo Travers (YouTube channel HugoDécrypte) compares AI to the Trojan horse, asking if it will follow the same pattern: welcomed into daily life at first, then becoming something far darker.
Chinese company Moonshot AI released Kimi K3 this week, reigniting debates about China and open-source AI. Moonshot says the model still lags behind the strongest proprietary models like Claude Fable 5 and GPT 5.6 Sol, but shows frontier-level performance in its own eval suite, consistently outperforming other tested models. Independent analysis from Arena.ai and Vals AI also confirms Kimi is competitive with flagship frontier models, and the release shook Wall Street as the Nasdaq dropped about 1% on Friday.
AI News Brief: Apple sued OpenAI last Friday alleging trade secret theft. The complaint is aggressive, targeting misconduct up to OpenAI’s Chief Hardware Officer level, and claims over 400 former Apple employees now work at OpenAI. OpenAI’s response has been reserved and cautious. The timing is bad for OpenAI since reports suggest the company is evaluating an IPO.
India’s smartphone market is taking a direct hit from an AI-driven memory chip shortage, making it the clearest case of the global ‘AI crowding out consumer electronics’ effect. Samsung, SK Hynix, and Micron are shifting capacity from standard RAM and storage chips to high-bandwidth memory (HBM) because HBM earns far higher profit per wafer than the memory used in phones and laptops, tightening consumer-grade supply and pushing costs up. According to Counterpoint Research, India’s Q2 (April–June) smartphone shipments fell 10% YoY — the steepest single-quarter drop in six years — while China only slipped 2% in the same period. The key difference is that about 60% of India’s phone market sits in the sub-INR 20,000 (~USD 210) price band, making it most sensitive to rising memory costs. Entry-level models under INR 15,000 (~USD 150) saw shipments plunge 45% YoY, hit hardest because Chinese brands have heavy exposure in that tier. Counterpoint VP Tarun Pathak noted that consumers won’t abandon phones, but replacement cycles are expected to stretch from ~3.5 years to 4. Samsung was the only major brand to grow shipments in Q2 India (+2% YoY); Apple’s shipments dipped 3%, but mainly due to supply constraints, not weak demand. Premium brands, whose buyers are less price-sensitive and benefit from widespread installment financing, have been noticeably less affected.
AI News Brief: Databricks announced its latest funding round on Thursday, pushing its valuation to $188 billion, led by Coatue. The company didn’t disclose the exact amount raised and said the funds haven’t come in yet — this round is expected to close later this summer; however, other media reports put the figure at around $3 billion. Though it’s uncommon to announce a round before the money has actually landed, a VC told TechCrunch the deal is rock solid — with so many investors clamoring to get in, the company had no reason to hide this eye-catching new valuation…