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No. 38Thursday, 20 August 20264 min read

Thu 20 Aug

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Top pickarXiv cs.DC

Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable time idle. That is not enough memory to fit a large model such as a 70B-parameter LLM. We show that a h…

Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable time idle. That is not enough memory to fit a large model such as a 70B-parameter LLM. We show that a handful of AIPCs, working together over an ordinary network, can serve models beyond the capability of any single one. We use pipeline parallelism: a model is split by layer into per-stage shards, each pre-compiled into an OpenVINO graph, so that every machine runs one shard and passes activations to the next. Three techniques make this fast enough to be useful. First, we recove…

arxiv.org
Top pickarXiv cs.AI

Large language model (LLM) agents can now post-train an LLM end-to-end. They can write code, launch training, evaluate checkpoints, and improve downstream performance, raising the prospect of AI-for-AI. We argue that thi…

Large language model (LLM) agents can now post-train an LLM end-to-end. They can write code, launch training, evaluate checkpoints, and improve downstream performance, raising the prospect of AI-for-AI. We argue that this picture conflates two distinct capabilities: execution-level capability, iterating within a selected training strategy; and strategy-level capability, revising the high-level judgment as experimental evidence accumulates. Analyzing a large corpus of publicly released post-training trajectories, we find that across different tasks, the agent's training strategy is locked in at…

arxiv.org
Top pickCodeforces

CF contest, 2.0h, starts Sat 29 Aug 14:35 UTC

Top pickarXiv cs.LG

On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger teacher. In long-context tasks, however, token-level teacher support can favor locally plausible respons…

On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger teacher. In long-context tasks, however, token-level teacher support can favor locally plausible responses that omit evidence distributed across the input or violate global task constraints. Task-specific verifiers, in contrast, evaluate task completion at the response level and may return graded rewards that reflect partial success. We diagnose this mismatch on fixed responses from two representative long-context evidence-aggregation tasks. Across longer input ranges, trajectory…

arxiv.org
Top pickhuggingface blog

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Top pickarXiv cs.DC

Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable time idle. That is not enough memory to fit a large model such as a 70B-parameter LLM. We show that a h…

Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable time idle. That is not enough memory to fit a large model such as a 70B-parameter LLM. We show that a handful of AIPCs, working together over an ordinary network, can serve models beyond the capability of any single one. We use pipeline parallelism: a model is split by layer into per-stage shards, each pre-compiled into an OpenVINO graph, so that every machine runs one shard and passes activations to the next. Three techniques make this fast enough to be useful. First, we recove…

arxiv.org
Top pickarXiv cs.AI

Large language model (LLM) agents can now post-train an LLM end-to-end. They can write code, launch training, evaluate checkpoints, and improve downstream performance, raising the prospect of AI-for-AI. We argue that thi…

Large language model (LLM) agents can now post-train an LLM end-to-end. They can write code, launch training, evaluate checkpoints, and improve downstream performance, raising the prospect of AI-for-AI. We argue that this picture conflates two distinct capabilities: execution-level capability, iterating within a selected training strategy; and strategy-level capability, revising the high-level judgment as experimental evidence accumulates. Analyzing a large corpus of publicly released post-training trajectories, we find that across different tasks, the agent's training strategy is locked in at…

arxiv.org
Top pickarXiv cs.LG

On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger teacher. In long-context tasks, however, token-level teacher support can favor locally plausible respons…

On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger teacher. In long-context tasks, however, token-level teacher support can favor locally plausible responses that omit evidence distributed across the input or violate global task constraints. Task-specific verifiers, in contrast, evaluate task completion at the response level and may return graded rewards that reflect partial success. We diagnose this mismatch on fixed responses from two representative long-context evidence-aggregation tasks. Across longer input ranges, trajectory…

arxiv.org
Top pickhuggingface blog

openai blog

ChatGPT Ads is expanding to 31 European markets. Learn how advertisers can reach people as they explore, compare options, and make decisions.

openai blog

OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.

openai blog

Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs.

HF trending294 likes

image-text-to-text · 131,113 downloads · 294 likes

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6 stories
hackaday

In part one of what is intended to be a series on developing an STM32-based oscilloscope, [BTTLab] demonstrates a how to use the built-in ADC of an STM32F207 MCU to …read more

lwn

Security updates have been issued by AlmaLinux (.NET 10.0, .NET 9.0, 389-ds-base, attr, curl, glib2, gstreamer1-plugins-bad-free, gstreamer1-plugins-bad-free and gstreamer1-plugins-ugly-free, gstreamer1-plugins-good, gst…

Security updates have been issued by AlmaLinux (.NET 10.0, .NET 9.0, 389-ds-base, attr, curl, glib2, gstreamer1-plugins-bad-free, gstreamer1-plugins-bad-free and gstreamer1-plugins-ugly-free, gstreamer1-plugins-good, gstreamer1-plugins-ugly-free, haproxy, kernel, libssh, libXfont2, nodejs22, pam, php, php8.4, sg3_utils, and unbound), Debian (librabbitmq, ruby-grape, spip, srt, and swift), Fedora (GitPython, lemonldap-ng, libgit2, libnfs, perl-Imager, perl-List-SomeUtils-XS, python3.12, python3.14, and radsecproxy), Oracle (.NET 10.0, 389-ds-base, 389-ds:1.4, bind, curl, gstreamer1-plugins-bad-…

lwn.net
lwn

Inside this week's LWN.net Weekly Edition: Front : Debian AI GR; Python pathlib; bootstrappable builds; Fedora and AF_ALG; Arm 128-bit PTEs; BPF CI; 7.2 statistics. Briefs : Brief news items from throughout the community…

Inside this week's LWN.net Weekly Edition: Front : Debian AI GR; Python pathlib; bootstrappable builds; Fedora and AF_ALG; Arm 128-bit PTEs; BPF CI; 7.2 statistics. Briefs : Brief news items from throughout the community. Announcements : Newsletters, conferences, security updates, patches, and more.

lwn.net
lwn

Go 1.27 , the most recent version of the Go programming language , has been released with a number of new tools, the addition of support for the ML-DSA post-quantum algorithm, new JSON-processing packages, language updat…

Go 1.27 , the most recent version of the Go programming language , has been released with a number of new tools, the addition of support for the ML-DSA post-quantum algorithm, new JSON-processing packages, language updates, and more.

lwn.net
lwn

Greg Kroah-Hartman has announced the release of the 7.1.9 , 6.18.45 , 6.12.104 , 6.6.152 , 6.1.183 , 5.15.216 , and 5.10.265 stable kernels. Each contains important fixes throughout the tree; users are advised to upgrade…

Greg Kroah-Hartman has announced the release of the 7.1.9 , 6.18.45 , 6.12.104 , 6.6.152 , 6.1.183 , 5.15.216 , and 5.10.265 stable kernels. Each contains important fixes throughout the tree; users are advised to upgrade.

lwn.net
lwn

Version 0.11 of the Tuba fediverse client has been released. Notable changes in this release include support for Mastodon collections and quotes , ability to create custom thumbnails for attachments, a new emoji picker, …

Version 0.11 of the Tuba fediverse client has been released. Notable changes in this release include support for Mastodon collections and quotes , ability to create custom thumbnails for attachments, a new emoji picker, a build for Android, as well as many other enhancements.

lwn.net
1 story
Top pickCodeforces

CF contest, 2.0h, starts Sat 29 Aug 14:35 UTC

6 stories
arXiv cs.LO

We present the first mechanised formalisation of Romanov's Triplet Logic (TLS) in the Rocq proof assistant. TLS is a triplet-based combinatorial framework for reasoning about compatible paths through layered triplet stru…

We present the first mechanised formalisation of Romanov's Triplet Logic (TLS) in the Rocq proof assistant. TLS is a triplet-based combinatorial framework for reasoning about compatible paths through layered triplet structures, called Compact Triplets Structures (CTS), and their intersection via Romanov's Effective Procedure, which we refer to as Simple Vertex Intersection (SVI). Originally motivated by Boolean satisfiability, TLS constitutes a self-contained mathematical theory whose formal properties had not been previously established. We formalise the core of TLS in Rocq, including Compact…

arxiv.org
arXiv cs.PL

Concolic execution is a variant of symbolic execution that runs a program simultaneously with concrete and symbolic inputs. It records the symbolic constraints encountered along a concrete execution path, then solves tho…

Concolic execution is a variant of symbolic execution that runs a program simultaneously with concrete and symbolic inputs. It records the symbolic constraints encountered along a concrete execution path, then solves those constraints to generate inputs that explore new paths. Existing concolic engines generally follow one of two implementation strategies: Interpreter-based systems are comparatively simple to build but incur substantial interpretation overhead, while instrumentation-based systems avoid this overhead but typically re-execute the program from the beginning for each new input. In…

arxiv.org
arXiv cs.PL

Weighted programs extend guarded commands with trace weights drawn from a semiring, or more generally a monoid-module. Varying this algebra gives one programmatic syntax for a variety of quantitative and symbolic models.…

Weighted programs extend guarded commands with trace weights drawn from a semiring, or more generally a monoid-module. Varying this algebra gives one programmatic syntax for a variety of quantitative and symbolic models. Weakest-preweighting semantics provides a compositional basis for reasoning about those programs. We present a deductive verification framework based on a weighted assertion language and an intermediate verification language. Its weight domains are ordered structures with implication and coimplication, which let verification conditions express lower- and upper-bound obligation…

arxiv.org
arXiv cs.DC

Data mesh architectures enable decentralized data sharing through domain-owned data products, but supporting diverse consumers in federated settings often requires customized data-sharing pipelines. As the number of cons…

Data mesh architectures enable decentralized data sharing through domain-owned data products, but supporting diverse consumers in federated settings often requires customized data-sharing pipelines. As the number of consumers grows, this leads to a proliferation of pipelines, increasing design and maintenance complexity. We observe that such pipelines frequently exhibit substantial structural overlap. In this paper, we argue that reuse should serve as a guiding principle to address this challenge. We define reuse in data-sharing pipelines as the systematic use of existing data assets and trans…

arxiv.org
arXiv cs.DC

Environmental simulation models support scenario analysis, calibration, and decision-making, but repeated execution can incur significant energy costs. Microservices offer modularity and scalability, yet their low-carbon…

Environmental simulation models support scenario analysis, calibration, and decision-making, but repeated execution can incur significant energy costs. Microservices offer modularity and scalability, yet their low-carbon impact remains unclear because decomposition introduces orchestration, communication, persistence, and idle-service overheads. This paper evaluates four environmental models as containerised microservice workflows, comparing monolithic execution with polling-based and event-driven orchestration. Results show that microservices increase energy consumption for smaller or tightly…

arxiv.org
arXiv cs.DC

We show that the complexity gaps in the round complexities of locally checkable labeling (LCL) problems are not due to the fact that solutions to LCL problems must be locally checkable, but solely to the fact that LCL pr…

We show that the complexity gaps in the round complexities of locally checkable labeling (LCL) problems are not due to the fact that solutions to LCL problems must be locally checkable, but solely to the fact that LCL problems are defined only for graphs of maximum degree upper bounded by some arbitrary yet constant value $Δ$. Specifically, we show that there are infinitely many locally checkable problems (i.e., problems whose solutions can be checked locally) whose round complexities belongs to the two intervals $[ω(1),o(\log\log^\star n)]$ and $[ω(\log^\star n),o(\log n)]$ whenever these pro…

arxiv.org
6 stories
GitHub trending · c++26,326 ★

WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).

GitHub trending · python8,271 ★

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic s…

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.

GitHub trending · python19,937 ★

Generate audiobooks from e-books, voice cloning & 1158+ languages!

GitHub trending · python9,346 ★

Local MTProto proxy server for partial bypassing of Telegram loading

GitHub trending · c++17,532 ★

Nix, the purely functional package manager

GitHub trending · c++5,189 ★

Fast and local neural text-to-speech engine

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