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Technology, models, startups, and research — aggregated from OpenAI, Anthropic, TechCrunch, arXiv, AWS, and 40+ sources.
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arXiv:2606.30966v1 Announce Type: new Abstract: Formal specification is a powerful tool to guide the learning process and provides significant advantages over reward shaping: (1) mathematical rigor;…
arXiv:2606.30699v1 Announce Type: new Abstract: Discovering governing equations directly from observational data is a key step towards interpretable scientific machine learning. Current data-driven…
arXiv:2606.30702v1 Announce Type: new Abstract: Structured tabular data dominates clinical medicine, yet existing benchmarks fail to reflect real-world properties like complex survey sampling,…
arXiv:2606.30704v1 Announce Type: new Abstract: Large language models (LLMs) excel across a wide range of tasks, yet their instance-specific solutions often lack the structural consistency needed for…
arXiv:2606.30705v1 Announce Type: new Abstract: Deterministic few-step generation succeeds on continuous image latents but collapses to incoherent text on continuous text latents, and we show the…
arXiv:2606.30709v1 Announce Type: new Abstract: Hierarchical Global Attention (HGA) is a drop-in replacement for dense causal attention in pretrained long-context transformers. HGA preserves the…
arXiv:2606.30778v1 Announce Type: new Abstract: Mapping a chemical reaction network, the graph of minima and transition states (TS) and the elementary reactions connecting them, is the natural…
arXiv:2606.30788v1 Announce Type: new Abstract: Language models are often adapted in stages: a public skill phase, a private memory phase, and a later safety phase that learns to refuse outputs tied…
arXiv:2606.30789v2 Announce Type: new Abstract: We develop a first-principles reduced-order model of these dynamics. Under a single mean-field assumption that summarizes the policy by its expected…
arXiv:2606.30813v1 Announce Type: new Abstract: Deep neural networks with repeated architectural blocks, such as transformers, often exhibit structured relationships across layers that emerge during…
arXiv:2606.30821v1 Announce Type: new Abstract: Probabilistic downscaling is the task of modeling the conditional distribution of high-resolution fields given coarse inputs, and is a central…
arXiv:2606.30836v1 Announce Type: new Abstract: Explainability in Many-Objective Optimization (MaO) is currently hindered by the escalating complexity of the Pareto front, which renders the…
arXiv:2606.30837v1 Announce Type: new Abstract: The number of trees is a central computational parameter in Random Forests: increasing it reduces finite-ensemble variability but increases training…
Citrix on Tuesday released security updates to address multiple flaws in NetScaler ADC (formerly Citrix ADC) and NetScaler Gateway (formerly Citrix Gateway) that could be exploited by an attacker to…
Most enterprise AI pilots stall for the same reason: they were built to impress a steering committee, not to survive contact with a real delivery team. The pilot proves the model can do something.…
It's July 1, 2026, and the AI world just got two massive updates in under 24 hours. Anthropic released Claude Sonnet 5 on June 30, and Google DeepMind launched DiffusionGemma — a new family of fast,…
One API to scrape, enrich, and extract the internet Discussion | Link
Vinton Cerf, one of the creators of the protocols underlying the internet, will step down as Google's chief internet evangelist next week.
It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS's inception more than two decades…
How I Built a Real-Time Sports Stats Tracker: Erling Haaland fires Norway into last 16 with dramatic winner against Côte TL;DR : Article written and saved to /root/haaland-norway-last16.html (~720…
Every "what's the cheapest model?" thread online is people trading vibes. I got tired of it, so I built a pipeline that pulls live, cited prices and runs the numbers through an exact-rational math…
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Tags: ai productivity tools webdev Most developers use AI coding assistants like this: copy a function, paste it into a chat window, add a bunch of context ("okay so this function is called from X,…
Fallback logic is easier to reason about when the application has one request shape and the model choice stays configurable. That is especially useful for teams testing different AI providers,…