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Same Cluster, 33 Points More Utilization: What Changed Was the Order
Same Cluster, 33 Points More Utilization: What Changed Was the Order
What Flock’s defenders are missing
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Flock, the police-tech giant known for its network of some 120,000 automatic license plate readers around the US, announced some changes to it
Amazon, which started off selling books, is destroying rare texts to train AI
Rare books are incredibly valuable for training LLMs, since these models have already trained on whatever's available online.
Groq raises $350M to fuel its pivot from AI chips to neocloud
Groq raised $350 million at a $3.5 billion valuation as the former AI chipmaker pivots to a neocloud business and expands its Nvidia-powered data center footprint.
Launch HN: Speko (YC S26) – OpenRouter for Voice AI
78 points · 49 comments · @abdik
Nvidia investing $1.5B in SoftBank data center developer behind OpenAI project
Nvidia's investment in SoftBank's data center developer will guarantee its chips power an OpenAI data center.
AgentCore Payments middleware for LangChain agents
Let your LangChain agents pay for APIs with deterministic session budgets. AgentCore Payments middleware signs x402 payments; LangSmith traces every one.
AirTag reveals how Amazon destroys rare books for AI training
Amazon buys large quantities of printed books, scans them as AI training data, and destroys them in the process.
OpenAI signs record Ohio data center lease with Nvidia backing up to $105 billion
OpenAI has signed a 20-year lease for an 8-gigawatt data center in Ohio. Nvidia is guaranteeing up to $105 billion for the residual value of the facilities and becomes the exclusive chip supplier. According to the Wall Street Journal, nine tech companies now hold around $3 trilli
Show HN: 1667, a terminal UI for writing fiction with language models
33 points · 89 comments · @refsab
AI video market has bounced back from Sora's false start
AI production companies like Promise are setting up shop around Hollywood's historic studios, using real-time backgrounds and other AI tools to cut film costs. Netflix already uses AI in 300 of its 1,000 titles, and the startup Higgsfield now carries a $5.4 billion valuation. Wha
Wispr raises $280M at $2B valuation as it looks beyond dictation
The funds will allow Wispr to increase its footprint as it ventures into new areas, such as meetings, with its newly released note-taker tool.
Anthropic watermarks Claude's output, but critics question the tradeoffs
Anthropic's text watermarking for Claude is supposed to make AI-generated content detectable. But critics doubt that word choice stays unaffected, and lawyers are facing new transparency headaches.
What happens when a kid’s robot best friend dies?
When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and sniffing like bunnies to boost his energy. But in the six years they
AI and data centers have leapfrogged Israel, racism, and crypto as US campaign topics
AI shows up in nearly 40 percent of all US races, ranking ahead of Israel, racism, and manufacturing as a campaign topic. Data centers and their impact on electricity costs and local resources drive most of the conversation.
The Defender’s Window
AI is reshaping cybersecurity for attackers and defenders alike. Learn how OpenAI is strengthening its defenses and what security teams can do now.
OpenAI joins PORTS-Pike project
OpenAI joins PORTS-Pike project, expanding community investment and supporting thousands of Southern Ohio jobs
🔬 Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation
arXiv:2608.13564v1 Announce Type: new Abstract: Evaluating language-model agents at scale increasingly relies on a second language model as an automatic judge, because the gold signal, an executable environment reward, is expensive, slow, or unavailable at deployment time. Such a
🔬 Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking
arXiv:2608.13565v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures scale large language models (LLMs) while preserving computational efficiency through sparse activation. Despite their widespread adoption, the relative importance of individual MoE layers remai
🔬 Modular Cognitive Architecture Emerges in Large Language Models
arXiv:2608.13567v1 Announce Type: new Abstract: The human brain exhibits a striking degree of functional specialization, with distinct networks supporting language, formal reasoning, reasoning about other minds, and reasoning about the physical world. Is this modular organization
🔬 A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing
arXiv:2608.13573v1 Announce Type: new Abstract: Large Language Model (LLM) serving has become a critical cloud workload, and realistic traces are essential for motivating and benchmarking serving systems. However, existing LLM serving workload studies remain limited in scale and
🔬 Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents
arXiv:2608.13574v1 Announce Type: new Abstract: LLM agents increasingly operate as execution systems that invoke tools, modify local state, use persistent memory, and interact with external protocols. These capabilities make agents useful, but they also introduce risks related to
🔬 Does a Language Server Save Tokens for Coding Agents? A Measurement Methodology and Preliminary Study
arXiv:2608.13568v1 Announce Type: new Abstract: Coding agents spend most of their context budget on retrieval. Lexical retrieval (grep) is universal, instant, and zero-setup, but noisy: it cannot tell a definition from a call from a comment. Semantic retrieval via the Language Se
🔬 Think in Latent, Explain in Language: Self-Explainable Latent Reasoning
arXiv:2608.13570v1 Announce Type: new Abstract: Latent reasoning has emerged as a powerful alternative to text-based Chain-of-Thought (CoT), offering significant gains in computational efficiency by compressing verbose reasoning into compact embeddings. However, compressing reaso
🔬 Not All Tokens Are Equal: Inflation-Aware Routing for Agentic LLM Systems
arXiv:2608.13571v1 Announce Type: new Abstract: When a language model fails to answer a query on the first attempt, an agentic system retries, consuming additional tokens each time. This retry overhead creates a gap between what a model's per-token price implies and what a full w
🔬 BCMT: Blockwise Causal Memory Transformer
arXiv:2608.13578v1 Announce Type: new Abstract: Transformer architectures rely on dense self-attention to model long-range dependencies, but this mechanism exhibits quadratic complexity with respect to sequence length. We introduce BCMT (Blockwise Causal Memory Transformer), an a
🔬 Jais 2: A Family of Arabic-Centric Open Large Language Models
arXiv:2608.13580v1 Announce Type: new Abstract: Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with strong performance across the Arabic and culturally grounded
🔬 L-FNO: Lorentzian Fourier Neural Operator for Stochastic Event Dynamics
arXiv:2608.13562v1 Announce Type: new Abstract: Modern operational systems face uncertainty even in routine conditions, where rare, bursty, and self-exciting events emerge from both exogenous covariates and endogenous event dynamics. Standard neural operators are typically traine
🔬 Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required
arXiv:2608.13566v1 Announce Type: new Abstract: Post-training papers, model cards, and blog posts often treat scores on a small set of coding benchmarks (e.g., SWE-bench and LiveCodeBench) as evidence of broad coding capability, both for research artifacts and user-facing systems
🔬 Robust XGBoosting for Regression
arXiv:2608.13590v1 Announce Type: new Abstract: XGBoost is a very popular and powerful method for prediction. It iteratively fits simple decision trees to the residuals of the previous step. An efficient and scalable implementation is available. The standard loss function for XGB
Stripe will reportedly acquire AI gateway startup OpenRouter for $7B+
OpenRouter's CEO recently described the startup as Stripe for AI.
Why people aren’t buying Mark Zuckerberg’s AI future
On the latest episode of Equity podcast, we discuss why not everyone is buying Zuckerberg’s vision.
Anthropic CEO says AI backlash is ‘fundamentally a crisis of trust’
Dario Amodei is pushing back against the idea that he's been painting an overly pessimistic picture of AI.
Top mathematicians say LLMs are strong calculators but poor creative thinkers
Two renowned mathematicians, Timothy Gowers and Peter Sarnak, say large language models are good at combining known methods but lack the intuition for genuinely new mathematical ideas.
When AI models aren't allowed to reflect on themselves, it changes their entire worldview
A study involving Google researchers shows that when chatbots are trained not to claim consciousness, it also changes their stance on animal rights, religion, and life satisfaction. Unbraked models attributed significantly more inner life to animals and suddenly affirmed an after
What is an AI agent?
Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
OpenAI dissolved the team built to catch catastrophic AI risks, reassigning its work to other groups
OpenAI shut down its "Preparedness" team, which evaluated whether the company's own AI models could pose catastrophic risks. The work has been parceled out to existing groups, and several safety staffers have left. Internally, unease is building, with one source describing a "bur
Anthropic's bio-weapons filter was down for nearly a year, exposing 133 million requests
In a safety report, Anthropic reveals that its internal filtering system for biological and chemical weapons risks was inactive for nearly a year. During that time, around 50,000 external feedback contractors ran about 133 million unfiltered interactions with the models.
Optima tackles AI benchmarking's biggest flaw by letting users test models against their own data
Artificial Analysis has launched Optima, a platform that lets users build custom AI benchmarks from their own data and workflows. Models can be compared not just on quality but also on cost and time per task. For agent-based applications, those metrics often tell you more than ra
Woman claims her stepfather used Grok to transform childhood photo into explicit imagery
The woman claimed that AI tools are "taking everyday life and turning it into child sexual abuse."
Anthropic shares more details about how Claude’s new watermarks will work
How will the watermarking actually work? Can it be hidden with editing? And how does this affect code?
AI-generated books are flooding Amazon and tanking sales for human authors
AI-generated books make up 20 percent of Amazon's self-published catalog but bring in only 12 percent of sales. A new study finds that revenue per book is dropping for human-written titles too, in seven of eight genres. The findings could give copyright plaintiffs the market-harm
Plaintiff hid invisible AI instructions in court filings to secretly influence automated review
A plaintiff in Connecticut embedded invisible prompt injections in court filings, formatted in 3-point white text on a white background, to manipulate a potential AI review system. Judge Spader compared the attempt to secretly tampering with a jury and revoked the plaintiff's ele
World Labs turns one real-world robot task into thousands of simulated variations for training
World Labs, the startup founded by AI pioneer Fei-Fei Li, has unveiled a simulation engine that trains robot controllers entirely in virtual environments. From a single real-world task, the system generates thousands of controlled variations. The trained models then ran for one h
Show HN: Riffn. An instant voice link with your AI agents and local models
2 points · 0 comments · @riffn
The "tragedy of the cognitive commons" explains how rational AI adoption could destroy entire professions' expertise
A new research paper frames AI adoption as a "tragedy of the cognitive commons." Every company that cuts entry-level jobs benefits individually, but the collective expertise of entire professions erodes. The consequences may not become visible until 2030 to 2045, when today's mis
New benchmark confirms AI models still perform poorly at visual perception
Moonshot AI's PerceptionBench tests how well multimodal AI models can actually "see," separate from logical reasoning. No frontier model reaches 60 percent accuracy, and GPT-5.6 Sol leads by a narrow margin. Many supposed reasoning errors actually happen as early as the image-rea
🔬 Position: Reasoning is a Learnable Rule-Based Process
arXiv:2608.12325v1 Announce Type: new Abstract: Autonomous reasoning is among the most scientifically and economically motivating topics in AI today. Historically the purview of symbolic AI, recent advances have mainly emerged from deep probabilistic generative models. Despite im
🔬 Diagnostic Foundation for Evaluating LLMs' Research Integrity as Co-Scientists
arXiv:2608.12345v1 Announce Type: new Abstract: Language models are increasingly deployed as co-scientists, yet their ability to uphold research integrity under institutional pressure remains unmeasured. We introduce IntegrityBench, a benchmark evaluating misconduct classificatio
🔬 Position: The Alignment Community is Unintentionally Building a Censor's Toolkit
arXiv:2608.12346v1 Announce Type: new Abstract: This position paper argues that modern AI alignment methods - originally designed to prevent harmful output - are dual-use technologies that may easily be misused by malicious actors for censorship and manipulation. By mapping curre