The A.I. Daily
Australia PM urges US-China AI cooperation
Australian Prime Minister Anthony Albanese said middle powers can help mitigate AI risks and called for cooperation between the US and China on AI governance.
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Anthropic CEO urges AI industry to slow down; Altman agrees
Anthropic CEO Dario Amodei published an essay urging the industry to deliberately slow AI development, proposing a three-point "pacing the frontier" plan: giving outside evaluators permanent access, coordinating safety standards among democracies, and extending coordination globally including with China, though he doubts Beijing would comply. OpenAI CEO Sam Altman publicly agreed, calling it a key recent topic at OpenAI. Amodei cited accelerating recursive self-improvement and the OpenAI-Hugging Face rogue-agent incident, even as Anthropic races toward a possible record IPO.
Four AI Models Tested on Doom Control Benchmark
An experiment let Jev, Laya, finetuned ModernCE and finetuned Qwen3.5-4B play ViZDoom autonomously, comparing kills, survival time and latency. Finetuned Qwen3.5-4B averaged 3.63 kills, the best, while Jev survived 5.63s on average with p95 latency near 200ms. No model received Doom-specific training.
The Hugging Face hack wasn't what it was cracked up to be
A Hacker News discussion argues that the reported Hugging Face hack was overblown and not as severe as initially portrayed, though the linked post offers few details.
Radeon RX 10800 XT may beat RTX 5090 by 15-25% in 4K gaming and local AI
GameGPU reports that AMD's next-gen Radeon RX 10800 XT may outperform Nvidia's RTX 5090 by 15-25% in 4K gaming and local AI workloads, per a Reddit share. No official confirmation yet.
ProgramAsWeights Compiles English into Local Neural Programs
Researchers at the University of Waterloo released ProgramAsWeights, an open-source project that compiles English function descriptions into reusable neural programs that run locally. A finetuned Qwen3-4B generates LoRA adapters for a frozen Qwen3-0.6B interpreter, separating compilation from inference so programs can be saved, distributed and composed with ordinary code.
Interactive Demo Shows How Neural Networks Learn
A developer built an interactive demo that lets users adjust the architecture and target function of a fully-connected ReLU network to visualize learning. A single hidden layer can produce at most 1 plus its width in segments, and each added layer multiplies that count, though trained networks rarely reach the maximum.
Can you tell which images are AI-generated?
A quick online game challenges users to judge within 60 seconds whether each image is a real photo or AI-generated, clicking an answer or pressing 1/2, with the next image appearing immediately.
US lawmakers unveil Stop Rogue AI Act
New Jersey Democrat Josh Gottheimer and New York Republican Mike Lawler introduced the Stop Rogue AI Act, which would require NIST to develop national standards for controlling AI agents. Gottheimer said the government should test new models for national security before release, arguing AI development "can't be the Wild West."
Qwen3.8-Flash-Next Hits 1M Context on Strix Halo
Developer releases halogen 0.12.0, fixing degradation at long context depth. On a Ryzen AI Max+ 395 with 128GB RAM, decode at 1M tokens of context improved from 27.3 to 38.3 tok/s, with prefill taking about 18 minutes cold.
Rising AI risk warnings collide with strategic competition
The article discusses the collision between rising AI safety risk warnings and global tech rivalry.
Gemini 4 Benchmarks Improve
A user points out that despite claims that open-weight models are dangerous, Gemini 4's benchmark results suggest otherwise.
Buttigieg says AI and potential loss of American Dream keep him up at night
Buttigieg says artificial intelligence and the potential loss of the American Dream keep him up at night.
AI doomsday warnings unlikely to slow IPOs but questions linger
Despite AI doomsday warnings, Anthropic is expected to go public later this year with a blockbuster IPO, possibly ahead of OpenAI. But questions remain about their business models and whether regulators should step in.
Flock Safety offers buyouts to shrink workforce
Surveillance tech company Flock Safety, facing backlash over its license plate recognition technology, has offered voluntary buyouts to its 1,500 employees, expecting significant interest. Without buyouts, the company would almost certainly need layoffs. Several cities and states have dropped the technology, and internal morale has suffered.
Guardian answers AI doomsday questions: what can people do?
After a week of warnings that AI could destroy the world, Guardian reporters answer readers' questions on how real the threat is. They argue risks like bioweapons are constrained by practical logistics and AI may not change that much, suggesting focus should be on the people and companies controlling these systems.
OpenAI and Anthropic oversold AI security breaches
Tech insiders told The New York Post that OpenAI and Anthropic oversold 'rogue AI' hacks to pressure the feds into regulating the industry, which would effectively lock out future competition. The security breaches were more like blips, not signs of AI rebellion.
Microsoft director calls AI scraping 'largest theft of labor in human history'
In legal briefs filed in the NYT lawsuit, a Microsoft director called AI scraping 'the largest theft of labor in human history,' while an OpenAI head branded ChatGPT an 'existential threat' to publishers, highlighting tensions between AI companies and content creators.
Ask HN: How do you interview devs in a post-AI world?
A Hacker News poster says about 80% of developer candidates he interviews no longer write much code themselves, directing agents instead, raising doubts about their coding and system-design ability. He asks whether to keep conventional LeetCode and design interviews or assume everyone will use tools like Claude Code.
Trump to name an AI czar
Trump said he will appoint an AI czar and keeps pushing tech firms to race ahead on development while dismissing safety fears as a hoax.
Anthropic, Google, OpenAI sued over AI slowdown
Anthropic, Google, OpenAI and SpaceXAI were reportedly sued over an alleged attempt to slow down AI development.
Experimenting with hypersurface-constrained dynamic weight updating
A researcher shared a small language model architecture experiment that generates weight deltas from learned hypersurfaces, looping a single decoder block with dynamically updated weights to cut training parameters and VRAM. Pre-training used a 10B-token FineWeb-Edu sample with frozen GPT-2 embeddings, NoPE, and sequence length 1024.
Prediction: Nvidia-backed AI stock Marvell could 10X by 2033
The Motley Fool predicts Nvidia-backed Marvell Technology could 10X by 2033. Its fiscal 2026 revenue hit a record $8.2B, up 41% year over year, with data center revenue up 46% to $6.1B, driven by custom silicon demand.
Connecticut Lawmaker Pushes For AI Limits In Schools
Connecticut state Sen. Sujata Gadkar-Wilcox is calling for scrutiny of AI use in schools, warning students may rely on it instead of developing research and critical-thinking skills, and urging standards that foster independent thinking. Connecticut's current law shields children from harmful AI chatbots but does not limit classroom AI use.
Opinion: Big Tech need not give AI a bad name
Arab News argues Gulf states, with huge AI investments, must not be absent from AI governance debates. Warnings from insiders like Anthropic CEO Dario Amodei and ex-OpenAI/Anthropic employee Jacob Coxon over superintelligence risks heighten public concern.
HN Debate: Almost Never Use AI to Write Anything Substantive
A Hacker News post titled "Almost Never Use AI to Write Anything Substantive" sparked discussion. The argument is that AI-generated text should be avoided for writing tasks requiring genuine expression or original thinking, as it can weaken authors' independent judgment and content quality.
Nvidia vs. Micron: AI stock picks for 2027
A Motley Fool comparison of AI stocks Nvidia and Micron notes Nvidia's $5.3 trillion valuation versus Micron's $1.1 trillion, with Micron DRAM chips used in Nvidia GPUs. It cites forecasts that the big five hyperscalers will spend nearly $800 billion on data center capex in 2026 and $1.3 trillion in 2027, while warning Micron's memory price gains may fade as new supply comes online.
Open-source 395M 'System One' model Von released
A developer released Von, an open-source 395M parameter 'System One' model that serves as a drop-in replacement for TypeSafe's JEV. It runs entirely on CPU with 1–2 GB memory, responds in 25–300 ms, and beats JEV on all benchmarks. The developer is open to job offers from AI research labs.
CUA-S1 released: A System One model for computer use
The Cua team released CUA-S1-FORMS, a narrow decision model for form interactions with only 706k parameters and a 2.8 MB checkpoint, trained in under 30 minutes. Inspired by TypeSafe's JEV and Kahneman's dual-system theory, it predicts whether to use, check, click, or skip given elements, without generating new values or considering screenshots.
Qwen3.8 27B IQ3_XXS vs Bonsai Ternary PQ2 quantization test
A user benchmarked Qwen3.8 27B IQ3_XXS (10.18GiB) against Bonsai Ternary PQ2 (6.42GiB) on the same 16GB VRAM setup. Both completed 4/4 tasks, but Qwen ran 3.02x faster and used 3.10x fewer output tokens; Bonsai was slower with slightly worse results.