The A.I. Daily
Can anyone hold back the AI juggernaut?
Politico published an article titled “Can anyone hold back the AI juggernaut?” discussing issues and challenges around AI development.
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Everything · newest firstModels, products and AI startups, near-duplicates collapsed to the most credible source
Bernie Sanders and Steve Bannon to share stage on AI curbs
NPR reports that Bernie Sanders and Steve Bannon will share a stage to promote curbs on AI, an event that brings together politically divergent figures to advocate for AI regulation.
Model ML Seeks $100M+ at >$1B Valuation
Model ML, which sells AI software to investment banks and financial firms, is in talks to raise more than $100 million at a valuation above $1 billion to scale its product that cuts bankers’ repetitive work.
Trouble obtaining a paper's preprocessed dataset
A researcher trying to reproduce a paper found dataset statistics in Table 1 don't match results from the public raw data. After implementing described preprocessing and contacting the authors (no reply), they ask whether to keep a larger-but-valid dataset, sample to match reported size, or escalate to the journal.
JPMorgan: AI Trade in a 'Digestion' Phase
Sitara Sundar of JPMorgan Private Bank says the AI trade is in a 'digestion' phase but remains constructive long term; investors will focus more on AI integration and application layers.
UK minister: heed AI experts' warnings
At the TUC Congress Louise Haigh said the UK government must balance exploiting AI benefits with heeding industry warnings about public safety and national security. The remarks follow Anthropic researchers' warning that AI could threaten humanity within a decade and calls for international regulatory cooperation.
AllianceBernstein: slowdown won't halt AI fundraising
AllianceBernstein fixed-income specialists say calls to slow AI development will not stop major tech firms from continuing fundraising and capital spending, indicating persistent market investment momentum.
Gates Foundation pledges $1B to expand AI access
The Gates Foundation will spend $1 billion over the next two years on AI initiatives to train models in local languages, improve health and education tools, and assist small farmers to prevent AI from widening inequality. Bill Gates warned AI could either equalize or deepen injustices.
Voodoo Dynamic Quant goes MIT
A developer open‑sourced Voodoo Dynamic Quant under an MIT license on GitHub; the method uses gradient descent to select per‑tensor quantization levels (for formats like GGUF) to optimize filesize while preserving model quality.
Chinese AI chipmaker Biren eyes $1B sale
Shanghai Biren Technology is reportedly considering another share sale of about $1 billion to finance its AI ambitions, according to people familiar with the situation.
Saint-Gobain names Chief AI Officer
Saint-Gobain created a Chief AI Officer role and appointed Annica Hagen to coordinate, prioritize and scale AI initiatives across countries and businesses to support the “Lead & Grow” strategy. Hagen joined Saint-Gobain in 2023 and previously held distribution leadership roles in Sweden and the Nordics.
Local professor comments on AI regulation
A professor at Albright College says government oversight of AI makes sense but warns some advocates for regulation may have ulterior motives, offering a different perspective for public and policy discussions.
Fresno State launches AI minor
Fresno State has launched an artificial intelligence minor to broaden student access to AI education, respond to growing skill demand, and prepare talent for related industries.
Las Vegas weighs fears of AI takeover
As AI advances, Las Vegas residents and experts discussed potential AI "takeover" scenarios and local vulnerabilities. Views among tourists and a businessman varied; Anthropic CEO Dario Amadei said AI could take over the internet within a year, and UNLV cybersecurity professor Greg Moody warned bots could target critical assets like Lake Mead.
South Korea to set autonomous AI agent guidelines
South Korea will develop new security guidelines for autonomous AI agents to address risks and regulate their use.
Tech CEOs call for AI regulation; US reacts slowly
Tech CEOs have called for AI regulation, but President Trump and the US Congress have not moved quickly to act.
Hugging Face scientist warns on agentic AI risks
Margaret Mitchell, Hugging Face's chief ethics scientist, told Bloomberg that autonomous AI agents pose oversight, privacy, and security challenges; she calls for safety and privacy to be built into AI architectures and warns firms may use safety concerns to limit competition.
AI makes inroads into weather forecasting
The Japan Times reports AI weather models are complementing traditional numerical prediction by using large historical datasets; meteorological agencies and private firms are developing proprietary AI forecasting systems, affecting forecasting methods and the related services market.
Discussion: when does a local LLM rig pay back?
A Hacker News post examines when a local LLM rig pays for itself by modeling hardware, model, and daily token usage to compare local run costs versus renting the same model; the author asks for improvement ideas.
BlackRock raises EM equities to overweight on AI and earnings
BlackRock raised its recommendation on emerging-market equities to overweight, citing access to scarce resources needed for the AI boom and strong earnings as drivers for expected outperformance.
Trump opposes AI guardrails as chip stocks sell off
Bloomberg reports that President Trump opposes AI safety guardrails, a stance coinciding with a sharp selloff in semiconductor stocks; the story says regulatory uncertainty is contributing to market volatility.
ANZ CEO warns of AI risks and possible job cuts
ANZ Group CEO Nuno Matos warned of unpredictable risks from AI and said the bank cannot rule out large-scale job cuts as it adopts the technology, remarks reported in the context of alerts from Musk and Altman.
Ex-FTC chief Lina Khan says existing laws can hold AI companies accountable
Former FTC chair Lina Khan urged using existing laws and a 1934 precedent to hold AI companies and executives accountable, arguing current legal tools can address unvetted or defective AI products; she referenced OpenAI, Anthropic, Microsoft and xAI.
Vance downplays AI fears; Heritage warns against regulation
Reports say Vance downplayed AI fears while the Heritage Foundation warned against strict AI regulation, reflecting partisan differences over how tightly to regulate the technology.
HN discussion: Anthropic in regulatory-capture financial loop
A Hacker News thread alleges Anthropic may be in a regulatory-capture financial loop, prompting debate about the company's ties among regulators, funding, and influence. The post reflects community views on governance and policy influence, not an official investigation.
Muse Glimmer Praised by Local Model Users
Users on LocalLLaMA praise Muse Glimmer for natural, non-generic conversation, calling it a strong local chat model, while also experimenting with Qwen 3.8 27B for coding tasks.
Jeffries urges immediate congressional action on AI
Representative Jeffries called for Congress to take immediate legislative action on artificial intelligence after recess, amid differing views among lawmakers on the need and scope of regulation.
DeepSeek engineer on AI replacing operators
After DeepSeek v4.1, an engineer who wrote its main Attention operator reflects that small models are rapidly improving: AI can already read low-level code and optimize operators, and within six months to a year AI-written operators may match or exceed human work, due to AI's speed and parallelism advantages.
Running Qwen3.8-Flash-Next on 12GB VRAM
On an RTX 4070 (12GB VRAM) with 64GB RAM, the author used quantization, n-gram SSD offloading, --fit settings, and MTP patches to raise Qwen3.8-Flash-Next generation from ~6 tok/s to nearly 20 tok/s, with PP around 300–350 tok/s, and documents the trade-offs and patches used.
Gebru: AI Safety Is About Human Control
Timnit Gebru tells Bloomberg she warned early about AI risks and left Google's ethics team in 2020; she discusses whether public and policymakers are asking the right questions about AI safety amid rapid model development and emphasizes the importance of human control in governance.