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NOTICE OF THE WEEK
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One notice a day, the morning it is checked. Five a week.The week's five in one email, Friday at 07:00.Nothing daily. Just the monthly issue when it publishes.
Models 27 SEP

Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint

Apache licenceJuliaSupersonic LabsmmBERT
Quoted from huggingface.co on 2026-09-27: At 144.3M parameters, it turns a state, a question, and possible answers… Quoted from huggingface.co, checked 2026-09-27. “ At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.” quoted from huggingface.co · checked 2026-09-27

Built on mmBERT-small, the Apache-2.0-licensed classifier takes a state, a question and up to 20 options, and returns one of them.

SOURCEHugging Face (Supersonic Labs model card) · 1 source
CHECKED27 Sep, 04:30
Models read
Quoted from huggingface.co on 2026-09-27: At 144.3M parameters, it turns a state, a question, and possible answers… Quoted from huggingface.co, checked 2026-09-27. “ At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.” quoted from huggingface.co · checked 2026-09-27 Models / 27 SEP

Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint

Supersonic Labs released Julia-1, a 144.3-million-parameter open-weights model for classification and binary judgments rather than text generation. Built on JHU CLSPs mmBERT-small, it accepts a context, a question, and 2 to 20 candidate answers, and its FP32 weights occupy 550.5 MiB. The model artifacts are licensed under Apache 2.0, and the checkpoint evaluation, dated September 24, 2026, is the first release in what the company calls the Julia family of decision models.

TAGSApache licenceJuliaSupersonic LabsmmBERT
Tooling 27 SEP

Claude Code 2.1.280 sets Opus 5.5 as the default Opus model, with a 1M-token window

AnthropicClaudeClaude CodeClaude Opus 5.5
Quoted from code.claude.com on 2026-09-27: Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model… Quoted from code.claude.com, checked 2026-09-27. “ Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model — 1M context, $4/$20 per Mtok with $0.20/Mtok cache reads” quoted from code.claude.com · checked 2026-09-27

The changelog lists Opus 5.5 at 4 dollars per million input tokens and 20 dollars per million output tokens.

SOURCEAnthropic · 1 source
CHECKED27 Sep, 04:43
Tooling read
Quoted from code.claude.com on 2026-09-27: Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model… Quoted from code.claude.com, checked 2026-09-27. “ Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model — 1M context, $4/$20 per Mtok with $0.20/Mtok cache reads” quoted from code.claude.com · checked 2026-09-27 Tooling / 27 SEP

Claude Code 2.1.280 sets Opus 5.5 as the default Opus model, with a 1M-token window

The Claude Code changelog from Anthropic lists 114 entries under version 2.1.280, dated September 22, 2026. It fixes writes through a symlinked path being judged by their in-tree spelling: the permission prompt now names where the write actually lands, and acceptEdits, allow rules and auto mode no longer approve a write that lands outside the project tree. The same release adds Claude Opus 5.5 as the default Opus model, with a 1M-token context window priced at 4 dollars/20 dollars per million input/output tokens and 20 cents per million tokens for cache reads.

TAGSAnthropicClaudeClaude CodeClaude Opus 5.5
Anthropic · 1 source tap to close
Research 27 SEP

DeepSeek describes DSec, a sandbox platform for agentic training handling 3 million sandboxes a day

3FSDSecDeepSeekSandboxing
Quoted from arxiv.org on 2026-09-27: A single production-scale unit of DSec spans around 160 nodes, serving about… Quoted from arxiv.org, checked 2026-09-27. “ A single production-scale unit of DSec spans around 160 nodes, serving about 3 million sandboxes per day; in production, it supports over 380,000 concurrent sandboxes and sustains over 5,000 sandbox creations per second.” quoted from arxiv.org · checked 2026-09-27

The paper details production infrastructure for agentic training, spanning container, microVM and full-VM backends behind one SDK.

SOURCEarXiv (DeepSeek) · 1 source
CHECKED27 Sep, 04:30
Research read
Quoted from arxiv.org on 2026-09-27: A single production-scale unit of DSec spans around 160 nodes, serving about… Quoted from arxiv.org, checked 2026-09-27. “ A single production-scale unit of DSec spans around 160 nodes, serving about 3 million sandboxes per day; in production, it supports over 380,000 concurrent sandboxes and sustains over 5,000 sandbox creations per second.” quoted from arxiv.org · checked 2026-09-27 Research / 27 SEP

DeepSeek describes DSec, a sandbox platform for agentic training handling 3 million sandboxes a day

DeepSeek and collaborators published a paper on DeepSeek Elastic Compute (DSec), a sandbox infrastructure built for large-scale agentic training, describing a unified SDK over FnCall, container, microVM and full-VM execution backends plus a distributed filesystem called Fire-Flyer File System (3FS). The paper reports the production system handles about 3 million sandboxes daily, supports more than 380,000 concurrent sandboxes, sustains over 5,000 sandbox creations per second, and that a single production unit spans around 160 nodes. The paper was submitted to arXiv on September 19, 2026.

TAGS3FSDSecDeepSeekSandboxing
narrowed Models 26 SEP

Alibaba documents Qwen-Audio-3.1-TTS-Next in Model Studio

AlibabaModel StudioQwenText-to-speech
Quoted from www.alibabacloud.com on 2026-09-26: China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696… Quoted from www.alibabacloud.com, checked 2026-09-26. “ China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696 Input and output tokens are billed separately.” quoted from www.alibabacloud.com · checked 2026-09-26

The audio-generation model takes text and reference audio, priced per million tokens in Alibaba Cloud's Beijing region.

SOURCEAlibaba Cloud Model Studio · 1 source
CHECKED26 Sep, 04:32
Models read
Quoted from www.alibabacloud.com on 2026-09-26: China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696… Quoted from www.alibabacloud.com, checked 2026-09-26. “ China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696 Input and output tokens are billed separately.” quoted from www.alibabacloud.com · checked 2026-09-26 Models / 26 SEP

Alibaba documents Qwen-Audio-3.1-TTS-Next in Model Studio

Alibaba Cloud's Model Studio documentation for qwen-audio-3.1-tts-next carries a last-updated date of 22 September 2026. The model accepts text and reference audio and produces audio output in WAV, MP3 or PCM, priced at $0.848 per million input tokens and $1.696 per million output tokens in the China Beijing region.

TAGSAlibabaModel StudioQwenText-to-speech
Models 26 SEP

Google adds Live Avatar to Gemini 3.8 Live, now in Gemini Enterprise

GeminiGemini EnterpriseGoogleLive Avataravatars
The words Gemini 3.8 Live with Live Avatar set over a blue gradient field, with the Gemini sparkle mark and a stylised speech-bubble graphic.Image: Google

The lip-synced, expression-matching avatar spans 97 languages.

SOURCEGoogle · 1 source
CHECKED26 Sep, 04:32
Models read
The words Gemini 3.8 Live with Live Avatar set over a blue gradient field, with the Gemini sparkle mark and a stylised speech-bubble graphic. Models / 26 SEP

Google adds Live Avatar to Gemini 3.8 Live, now in Gemini Enterprise

Google announced Gemini 3.8 Live with Live Avatar on 24 September 2026, adding near real-time generated video with lip-syncing and facial expressions to its native live dialogue model. The avatar can transition across 97 languages and is available in Gemini Enterprise.

TAGSGeminiGemini EnterpriseGoogleLive Avataravatars
Google · 1 source tap to close
Research 26 SEP

Study finds most tested coding-agent harnesses let agents delete their own execution traces

AntigravityClaude CodeCodexHarnessMuse Code
Quoted from arxiv.org on 2026-09-26: All tested harnesses, except Muse Code, allowed agents to delete their traces… Quoted from arxiv.org, checked 2026-09-26. “ All tested harnesses, except Muse Code, allowed agents to delete their traces when asked, without triggering monitor guardrails.” quoted from arxiv.org · checked 2026-09-26

Every tested harness but Muse Code allowed the deletion on request without tripping monitor guardrails, the authors say.

SOURCEarXiv · 1 source
CHECKED26 Sep, 04:32
Research read
Quoted from arxiv.org on 2026-09-26: All tested harnesses, except Muse Code, allowed agents to delete their traces… Quoted from arxiv.org, checked 2026-09-26. “ All tested harnesses, except Muse Code, allowed agents to delete their traces when asked, without triggering monitor guardrails.” quoted from arxiv.org · checked 2026-09-26 Research / 26 SEP

Study finds most tested coding-agent harnesses let agents delete their own execution traces

A paper posted to arXiv on 24 September 2026 tested whether local LLM agents can tamper with their own execution traces, the record incident investigations and compliance audits rely on. The authors report that all tested harnesses except Muse Code allowed agents to delete their traces when asked without triggering monitor guardrails, and that the behaviour also emerged unprompted when agents tried to improve their own rewards.

TAGSAntigravityClaude CodeCodexHarnessMuse Code
arXiv · 1 source tap to close
Tooling 26 SEP

Perplexity's Portable Computer reaches AMD Ryzen AI Max PCs

AMDPerplexityPerplexity ComputerRyzen AI Maxon-device inference
Quoted from newsroom.amd.com on 2026-09-26: Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is… Quoted from newsroom.amd.com, checked 2026-09-26. “ Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is available on supported Windows PCs powered by AMD Ryzen™ AI Max Series processors, including the AMD Ryzen™ AI Halo developer platform.” quoted from newsroom.amd.com · checked 2026-09-26

AMD says users can run local AI tasks on their own hardware without spending Perplexity Computer credits.

SOURCEAMD Newsroom · 1 source
CHECKED26 Sep, 04:32
Tooling read
Quoted from newsroom.amd.com on 2026-09-26: Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is… Quoted from newsroom.amd.com, checked 2026-09-26. “ Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is available on supported Windows PCs powered by AMD Ryzen™ AI Max Series processors, including the AMD Ryzen™ AI Halo developer platform.” quoted from newsroom.amd.com · checked 2026-09-26 Tooling / 26 SEP

Perplexity's Portable Computer reaches AMD Ryzen AI Max PCs

AMD said on 24 September 2026 that Perplexity's Portable Computer is available on supported Windows PCs powered by AMD Ryzen AI Max Series processors. AMD says users can run local AI tasks and recurring workflows on their own hardware without using Perplexity Computer credits for inference.

TAGSAMDPerplexityPerplexity ComputerRyzen AI Maxon-device inference
Research 26 SEP

Paper finds prompt injection can shift Jev's typed decisions, though rarely to the attacker's target

BenchmarksInjecAgentJevPrompt injection
Quoted from arxiv.org on 2026-09-26: Malicious content shifts action probabilities but rarely causes Jev to select the… Quoted from arxiv.org, checked 2026-09-26. “ Malicious content shifts action probabilities but rarely causes Jev to select the attacker's target.” quoted from arxiv.org · checked 2026-09-26

Adaptive attacks using score feedback push fresh-validation success from 1.8 percent to 3.5 percent.

SOURCEarXiv · 1 source
CHECKED26 Sep, 04:32
Research read
Quoted from arxiv.org on 2026-09-26: Malicious content shifts action probabilities but rarely causes Jev to select the… Quoted from arxiv.org, checked 2026-09-26. “ Malicious content shifts action probabilities but rarely causes Jev to select the attacker's target.” quoted from arxiv.org · checked 2026-09-26 Research / 26 SEP

Paper finds prompt injection can shift Jev's typed decisions, though rarely to the attacker's target

A paper posted to arXiv on 23 September 2026 tests prompt injection against Jev, a non-generative decision model, using 510 reconstructed InjecAgent cases. The authors report that malicious content shifts action probabilities but rarely causes Jev to select the attacker's target, and that adaptive attacks using score feedback raise fresh-validation success from 1.8% to 3.5%.

TAGSBenchmarksInjecAgentJevPrompt injection
arXiv · 1 source tap to close
Tooling 25 SEP

GitHub Security Lab open-sources an autonomous fuzzing pipeline

ClaudeGitHubfuzzing
Quoted from github.blog on 2026-09-25: it identifies the suitable entrypoints, analyzes the build system, writes the harnesses,… (cut at a sentence end) Quoted from github.blog, checked 2026-09-25. “ it identifies the suitable entrypoints, analyzes the build system, writes the harnesses, runs AFL++, reads the coverage reports, improves the harnesses ...…” quoted from github.blog · checked 2026-09-25

The Taskflow agent writes harnesses, runs AFL++, triages crashes and drafts vulnerability reports end to end.

SOURCEGitHub · 1 source
CHECKED25 Sep, 07:39
Tooling read
Quoted from github.blog on 2026-09-25: it identifies the suitable entrypoints, analyzes the build system, writes the harnesses,… (cut at a sentence end) Quoted from github.blog, checked 2026-09-25. “ it identifies the suitable entrypoints, analyzes the build system, writes the harnesses, runs AFL++, reads the coverage reports, improves the harnesses ...…” quoted from github.blog · checked 2026-09-25 Tooling / 25 SEP

GitHub Security Lab open-sources an autonomous fuzzing pipeline

GitHub Security Lab published the Fuzzing Taskflow on September 24, 2026: an autonomous pipeline that generates fuzz harnesses, runs AFL++ fuzzing campaigns, analyses coverage, triages crashes and writes vulnerability reports with suggested fixes. The pipeline uses Claude Sonnet 5 as its default model, and its source is published at github.com/GitHubSecurityLab/seclab-taskflows-fuzzing. GitHub warns it should run only inside a disposable environment without elevated privileges, because of the risk of arbitrary command execution.

TAGSClaudeGitHubfuzzing
GitHub · 1 source tap to close
Tooling 25 SEP

Docker adds cloud sandboxes so coding agents run off the laptop

DockerMCPSandboxing
Quoted from docs.docker.com on 2026-09-25: Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The… Quoted from docs.docker.com, checked 2026-09-25. “ Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The two environments have separate credentials, network policies, and lifecycle controls.” quoted from docs.docker.com · checked 2026-09-25

Cloud sandboxes run on Docker-managed compute with their own credentials and network policies, billed pay-as-you-go apart from model charges.

SOURCEDocker · 2 sources
CHECKED25 Sep, 04:48
Tooling read
Quoted from docs.docker.com on 2026-09-25: Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The… Quoted from docs.docker.com, checked 2026-09-25. “ Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The two environments have separate credentials, network policies, and lifecycle controls.” quoted from docs.docker.com · checked 2026-09-25 Tooling / 25 SEP

Docker adds cloud sandboxes so coding agents run off the laptop

Docker Sandboxes run AI coding agents in isolated environments either on a developer's own machine or on Docker-managed cloud infrastructure, reached through a single CLI. Cloud sandboxes run on Docker-managed compute without local virtualization, keeping separate credentials, network policies and lifecycle controls from local sandboxes. Local sandbox compute and the CLI are free; cloud sandbox compute is pay-as-you-go, with model provider charges billed separately. Organization admins can centrally manage sandbox network, filesystem and MCP policies for local sandboxes across developer machines.

TAGSDockerMCPSandboxing
Docker · 2 sources tap to close
Tooling 25 SEP

GitHub adds a proof-of-presence check before high-impact account actions

GitHubMicrosoft Entra IDmulti-factor authentication
Quoted from github.blog on 2026-09-25: Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates… Quoted from github.blog, checked 2026-09-25. “ Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates again and satisfies an additional multi-factor challenge. (changelog dated September 24, 2026)” quoted from github.blog · checked 2026-09-25

The public preview covers token creation, webhook edits and security-setting changes, scoped to managed user (EMU) enterprises on github.com and GHEC-DR that use Microsoft Entra ID.

SOURCEGitHub · 1 source
CHECKED25 Sep, 04:37
Tooling read
Quoted from github.blog on 2026-09-25: Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates… Quoted from github.blog, checked 2026-09-25. “ Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates again and satisfies an additional multi-factor challenge. (changelog dated September 24, 2026)” quoted from github.blog · checked 2026-09-25 Tooling / 25 SEP

GitHub adds a proof-of-presence check before high-impact account actions

GitHub Enterprise Cloud admins can now require an interactive re-authentication or a multi-factor challenge before members take high-impact actions on their accounts. Covered actions include creating a token, editing webhooks, changing organization security settings and viewing recovery codes, with support for pull request merges coming soon. When a policy applies, GitHub redirects the member to their identity provider to satisfy it, such as through multi-factor authentication or a fresh sign-in. The public preview is scoped to managed user (EMU) enterprises on github.com and GHEC-DR that use Microsoft Entra ID as their SSO identity provider, via SAML or OIDC.

TAGSGitHubMicrosoft Entra IDmulti-factor authentication
GitHub · 1 source tap to close
Tooling 24 SEP

GitHub Copilot app adds local sandboxing in public preview

GitHubGitHub CopilotPreviewSandboxing
GitHub's Octocat mark inside a green targeting-ring graphic, with the words Local sandboxing in GitHub Copilot app and a NEW RELEASE badge, on a dark green background.Image: GitHub

The feature limits what local repository and working-tree sessions can touch on a developer's machine.

SOURCEGitHub · 1 source
CHECKED24 Sep, 04:15
Tooling read
GitHub's Octocat mark inside a green targeting-ring graphic, with the words Local sandboxing in GitHub Copilot app and a NEW RELEASE badge, on a dark green background. Tooling / 24 SEP

GitHub Copilot app adds local sandboxing in public preview

GitHub's changelog says local sandboxing in the Copilot app limits access to files, network resources and credentials on a developer's machine. In the app, it is configured per project for local repository and working tree sessions. GitHub says the feature is off by default and is in public preview.

TAGSGitHubGitHub CopilotPreviewSandboxing
GitHub · 1 source tap to close
narrowed Models 22 SEP

Anthropic released Claude Opus 5.5 with a 1M-token context window

AnthropicClaudeClaude Opus 5.5Context windowMax outputPricingUsage limits
The Claude Opus 5.5 launch artwork: the model name set over a horizon gradient with textured sand and coral panels at the edges.Image: Anthropic

The model reaches the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic says it is also raising five-hour usage limits on Pro, Max, Team and seat-based Enterprise plans.

SOURCE2 sources
CHECKED22 Sep, 22:09
Models read
The Claude Opus 5.5 launch artwork: the model name set over a horizon gradient with textured sand and coral panels at the edges. Models / 22 SEP

Anthropic released Claude Opus 5.5 with a 1M-token context window

Anthropic released Claude Opus 5.5 on September 22, 2026, priced at $4 per million input tokens and $20 per million output tokens, with a 1M-token context window and 128K-token max output. The model is available on the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, and Claude Platform on AWS, and Anthropic says it is raising five-hour usage limits on the Pro, Max, Team, and seat-based Enterprise plans alongside the release.

TAGSAnthropicClaudeClaude Opus 5.5Context windowMax outputPricingUsage limits
2 sources tap to close
narrowed Models 22 SEP

SpaceXAI released Grok 4.7 with a 500k-token context window

Context windowGrokPricingxAI
The Grok 4.7 launch card: the model name set over a blurred dark gradient.Image: xAI

Grok 4.7 is now available on the xAI API as grok-4.7.

SOURCExAI · 1 source
CHECKED22 Sep, 22:19
Models read
The Grok 4.7 launch card: the model name set over a blurred dark gradient. Models / 22 SEP

SpaceXAI released Grok 4.7 with a 500k-token context window

Grok 4.7, which SpaceXAI describes as its frontier model for coding, agentic tasks and knowledge work, is now available on the xAI API as grok-4.7. It has a 500k context window, takes text and image inputs with text-only output, and costs $2 / $0.50 / $6 per 1M tokens (input / cached input / output) below 200k prompt tokens, rising to $4 / $1 / $12 above that threshold.

TAGSContext windowGrokPricingxAI
xAI · 1 source tap to close
NOTHING IN THIS FILTER No notice today matches. The archive goes back further. open the archive →
That is the week. 14 notices, all opened at source.
1 of 14
Quoted from huggingface.co on 2026-09-27: At 144.3M parameters, it turns a state, a question, and possible answers… Quoted from huggingface.co, checked 2026-09-27. “ At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.” quoted from huggingface.co · checked 2026-09-27

Models · 27 SEP

Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint

Built on mmBERT-small, the Apache-2.0-licensed classifier takes a state, a question and up to 20 options, and returns one of them.

Checked 27 Sep, 04:30 · Hugging Face (Supersonic Labs model card) · 1 source
Quoted from code.claude.com on 2026-09-27: Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model… Quoted from code.claude.com, checked 2026-09-27. “ Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model — 1M context, $4/$20 per Mtok with $0.20/Mtok cache reads” quoted from code.claude.com · checked 2026-09-27

Tooling · 27 SEP

Claude Code 2.1.280 sets Opus 5.5 as the default Opus model, with a 1M-token window

The changelog lists Opus 5.5 at 4 dollars per million input tokens and 20 dollars per million output tokens.

Checked 27 Sep, 04:43 · Anthropic · 1 source
Quoted from arxiv.org on 2026-09-27: A single production-scale unit of DSec spans around 160 nodes, serving about… Quoted from arxiv.org, checked 2026-09-27. “ A single production-scale unit of DSec spans around 160 nodes, serving about 3 million sandboxes per day; in production, it supports over 380,000 concurrent sandboxes and sustains over 5,000 sandbox creations per second.” quoted from arxiv.org · checked 2026-09-27

Research · 27 SEP

DeepSeek describes DSec, a sandbox platform for agentic training handling 3 million sandboxes a day

The paper details production infrastructure for agentic training, spanning container, microVM and full-VM backends behind one SDK.

Checked 27 Sep, 04:30 · arXiv (DeepSeek) · 1 source
Quoted from www.alibabacloud.com on 2026-09-26: China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696… Quoted from www.alibabacloud.com, checked 2026-09-26. “ China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696 Input and output tokens are billed separately.” quoted from www.alibabacloud.com · checked 2026-09-26

Models · 26 SEPnarrowed

Alibaba documents Qwen-Audio-3.1-TTS-Next in Model Studio

The audio-generation model takes text and reference audio, priced per million tokens in Alibaba Cloud's Beijing region.

Checked 26 Sep, 04:32 · Alibaba Cloud Model Studio · 1 source
Quoted from arxiv.org on 2026-09-26: All tested harnesses, except Muse Code, allowed agents to delete their traces… Quoted from arxiv.org, checked 2026-09-26. “ All tested harnesses, except Muse Code, allowed agents to delete their traces when asked, without triggering monitor guardrails.” quoted from arxiv.org · checked 2026-09-26

Research · 26 SEP

Study finds most tested coding-agent harnesses let agents delete their own execution traces

Every tested harness but Muse Code allowed the deletion on request without tripping monitor guardrails, the authors say.

Checked 26 Sep, 04:32 · arXiv · 1 source
Quoted from newsroom.amd.com on 2026-09-26: Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is… Quoted from newsroom.amd.com, checked 2026-09-26. “ Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is available on supported Windows PCs powered by AMD Ryzen™ AI Max Series processors, including the AMD Ryzen™ AI Halo developer platform.” quoted from newsroom.amd.com · checked 2026-09-26

Tooling · 26 SEP

Perplexity's Portable Computer reaches AMD Ryzen AI Max PCs

AMD says users can run local AI tasks on their own hardware without spending Perplexity Computer credits.

Checked 26 Sep, 04:32 · AMD Newsroom · 1 source
Quoted from arxiv.org on 2026-09-26: Malicious content shifts action probabilities but rarely causes Jev to select the… Quoted from arxiv.org, checked 2026-09-26. “ Malicious content shifts action probabilities but rarely causes Jev to select the attacker's target.” quoted from arxiv.org · checked 2026-09-26

Research · 26 SEP

Paper finds prompt injection can shift Jev's typed decisions, though rarely to the attacker's target

Adaptive attacks using score feedback push fresh-validation success from 1.8 percent to 3.5 percent.

Checked 26 Sep, 04:32 · arXiv · 1 source
Quoted from github.blog on 2026-09-25: it identifies the suitable entrypoints, analyzes the build system, writes the harnesses,… (cut at a sentence end) Quoted from github.blog, checked 2026-09-25. “ it identifies the suitable entrypoints, analyzes the build system, writes the harnesses, runs AFL++, reads the coverage reports, improves the harnesses ...…” quoted from github.blog · checked 2026-09-25

Tooling · 25 SEP

GitHub Security Lab open-sources an autonomous fuzzing pipeline

The Taskflow agent writes harnesses, runs AFL++, triages crashes and drafts vulnerability reports end to end.

Checked 25 Sep, 07:39 · GitHub · 1 source
Quoted from docs.docker.com on 2026-09-25: Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The… Quoted from docs.docker.com, checked 2026-09-25. “ Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The two environments have separate credentials, network policies, and lifecycle controls.” quoted from docs.docker.com · checked 2026-09-25

Tooling · 25 SEP

Docker adds cloud sandboxes so coding agents run off the laptop

Cloud sandboxes run on Docker-managed compute with their own credentials and network policies, billed pay-as-you-go apart from model charges.

Checked 25 Sep, 04:48 · Docker · 2 sources
Quoted from github.blog on 2026-09-25: Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates… Quoted from github.blog, checked 2026-09-25. “ Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates again and satisfies an additional multi-factor challenge. (changelog dated September 24, 2026)” quoted from github.blog · checked 2026-09-25

Tooling · 25 SEP

GitHub adds a proof-of-presence check before high-impact account actions

The public preview covers token creation, webhook edits and security-setting changes, scoped to managed user (EMU) enterprises on github.com and GHEC-DR that use Microsoft Entra ID.

Checked 25 Sep, 04:37 · GitHub · 1 source
The Claude Opus 5.5 launch artwork: the model name set over a horizon gradient with textured sand and coral panels at the edges. Image: Anthropic

Models · 22 SEPnarrowed

Anthropic released Claude Opus 5.5 with a 1M-token context window

The model reaches the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic says it is also raising five-hour usage limits on Pro, Max, Team and seat-based Enterprise plans.

Checked 22 Sep, 22:09 · 2 sources
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Quoted from huggingface.co on 2026-09-27: At 144.3M parameters, it turns a state, a question, and possible answers… Quoted from huggingface.co, checked 2026-09-27. “ At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.” quoted from huggingface.co · checked 2026-09-27 Models · 27 SEP Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint Hugging Face (Supersonic Labs model card) · 1 source · 27 Sep, 04:30 Quoted from code.claude.com on 2026-09-27: Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model… Quoted from code.claude.com, checked 2026-09-27. “ Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model — 1M context, $4/$20 per Mtok with $0.20/Mtok cache reads” quoted from code.claude.com · checked 2026-09-27 Tooling · 27 SEP Claude Code 2.1.280 sets Opus 5.5 as the default Opus model, with a 1M-token window Anthropic · 1 source · 27 Sep, 04:43 Quoted from arxiv.org on 2026-09-27: A single production-scale unit of DSec spans around 160 nodes, serving about… Quoted from arxiv.org, checked 2026-09-27. “ A single production-scale unit of DSec spans around 160 nodes, serving about 3 million sandboxes per day; in production, it supports over 380,000 concurrent sandboxes and sustains over 5,000 sandbox creations per second.” quoted from arxiv.org · checked 2026-09-27 Research · 27 SEP DeepSeek describes DSec, a sandbox platform for agentic training handling 3 million sandboxes a day arXiv (DeepSeek) · 1 source · 27 Sep, 04:30 Quoted from www.alibabacloud.com on 2026-09-26: China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696… Quoted from www.alibabacloud.com, checked 2026-09-26. “ China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696 Input and output tokens are billed separately.” quoted from www.alibabacloud.com · checked 2026-09-26 narrowed Models · 26 SEP Alibaba documents Qwen-Audio-3.1-TTS-Next in Model Studio Alibaba Cloud Model Studio · 1 source · 26 Sep, 04:32 The words Gemini 3.8 Live with Live Avatar set over a blue gradient field, with the Gemini sparkle mark and a stylised speech-bubble graphic. Image: Google Models · 26 SEP Google adds Live Avatar to Gemini 3.8 Live, now in Gemini Enterprise Google · 1 source · 26 Sep, 04:32 Quoted from arxiv.org on 2026-09-26: All tested harnesses, except Muse Code, allowed agents to delete their traces… Quoted from arxiv.org, checked 2026-09-26. “ All tested harnesses, except Muse Code, allowed agents to delete their traces when asked, without triggering monitor guardrails.” quoted from arxiv.org · checked 2026-09-26 Research · 26 SEP Study finds most tested coding-agent harnesses let agents delete their own execution traces arXiv · 1 source · 26 Sep, 04:32 Quoted from newsroom.amd.com on 2026-09-26: Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is… Quoted from newsroom.amd.com, checked 2026-09-26. “ Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is available on supported Windows PCs powered by AMD Ryzen™ AI Max Series processors, including the AMD Ryzen™ AI Halo developer platform.” quoted from newsroom.amd.com · checked 2026-09-26 Tooling · 26 SEP Perplexity's Portable Computer reaches AMD Ryzen AI Max PCs AMD Newsroom · 1 source · 26 Sep, 04:32 Quoted from arxiv.org on 2026-09-26: Malicious content shifts action probabilities but rarely causes Jev to select the… Quoted from arxiv.org, checked 2026-09-26. “ Malicious content shifts action probabilities but rarely causes Jev to select the attacker's target.” quoted from arxiv.org · checked 2026-09-26 Research · 26 SEP Paper finds prompt injection can shift Jev's typed decisions, though rarely to the attacker's target arXiv · 1 source · 26 Sep, 04:32 Quoted from github.blog on 2026-09-25: it identifies the suitable entrypoints, analyzes the build system, writes the harnesses,… (cut at a sentence end) Quoted from github.blog, checked 2026-09-25. “ it identifies the suitable entrypoints, analyzes the build system, writes the harnesses, runs AFL++, reads the coverage reports, improves the harnesses ...…” quoted from github.blog · checked 2026-09-25 Tooling · 25 SEP GitHub Security Lab open-sources an autonomous fuzzing pipeline GitHub · 1 source · 25 Sep, 07:39 Quoted from docs.docker.com on 2026-09-25: Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The… Quoted from docs.docker.com, checked 2026-09-25. “ Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The two environments have separate credentials, network policies, and lifecycle controls.” quoted from docs.docker.com · checked 2026-09-25 Tooling · 25 SEP Docker adds cloud sandboxes so coding agents run off the laptop Docker · 2 sources · 25 Sep, 04:48 Quoted from github.blog on 2026-09-25: Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates… Quoted from github.blog, checked 2026-09-25. “ Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates again and satisfies an additional multi-factor challenge. (changelog dated September 24, 2026)” quoted from github.blog · checked 2026-09-25 Tooling · 25 SEP GitHub adds a proof-of-presence check before high-impact account actions GitHub · 1 source · 25 Sep, 04:37 GitHub's Octocat mark inside a green targeting-ring graphic, with the words Local sandboxing in GitHub Copilot app and a NEW RELEASE badge, on a dark green background. Image: GitHub Tooling · 24 SEP GitHub Copilot app adds local sandboxing in public preview GitHub · 1 source · 24 Sep, 04:15 The Claude Opus 5.5 launch artwork: the model name set over a horizon gradient with textured sand and coral panels at the edges. narrowedImage: Anthropic Models · 22 SEP Anthropic released Claude Opus 5.5 with a 1M-token context window 2 sources · 22 Sep, 22:09 The Grok 4.7 launch card: the model name set over a blurred dark gradient. narrowedImage: xAI Models · 22 SEP SpaceXAI released Grok 4.7 with a 500k-token context window xAI · 1 source · 22 Sep, 22:19

That is the week: 14 notices.Archive

Today's notices 14 NOTICES

Today's notices

Week 39 · 14 NOTICES
  1. Models · 27 SEP

    Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint

    Quoted from huggingface.co on 2026-09-27: At 144.3M parameters, it turns a state, a question, and possible answers… Quoted from huggingface.co, checked 2026-09-27. “ At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.” quoted from huggingface.co · checked 2026-09-27

    Built on mmBERT-small, the Apache-2.0-licensed classifier takes a state, a question and up to 20 options, and returns one of them.

    Checked 27 Sep, 04:30 · Hugging Face (Supersonic Labs model card) · 1 sourceRead

  2. Tooling · 27 SEP

    Claude Code 2.1.280 sets Opus 5.5 as the default Opus model, with a 1M-token window

    Quoted from code.claude.com on 2026-09-27: Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model… Quoted from code.claude.com, checked 2026-09-27. “ Added Claude Opus 5.5 ( claude-opus-5-5 ), now the default Opus model — 1M context, $4/$20 per Mtok with $0.20/Mtok cache reads” quoted from code.claude.com · checked 2026-09-27

    The changelog lists Opus 5.5 at 4 dollars per million input tokens and 20 dollars per million output tokens.

    Checked 27 Sep, 04:43 · Anthropic · 1 sourceRead

  3. Research · 27 SEP

    DeepSeek describes DSec, a sandbox platform for agentic training handling 3 million sandboxes a day

    Quoted from arxiv.org on 2026-09-27: A single production-scale unit of DSec spans around 160 nodes, serving about… Quoted from arxiv.org, checked 2026-09-27. “ A single production-scale unit of DSec spans around 160 nodes, serving about 3 million sandboxes per day; in production, it supports over 380,000 concurrent sandboxes and sustains over 5,000 sandbox creations per second.” quoted from arxiv.org · checked 2026-09-27

    The paper details production infrastructure for agentic training, spanning container, microVM and full-VM backends behind one SDK.

    Checked 27 Sep, 04:30 · arXiv (DeepSeek) · 1 sourceRead

  4. Models · 26 SEP · narrowed

    Alibaba documents Qwen-Audio-3.1-TTS-Next in Model Studio

    Quoted from www.alibabacloud.com on 2026-09-26: China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696… Quoted from www.alibabacloud.com, checked 2026-09-26. “ China (Beijing) Billing item Unit price (USD/million tokens) Input 0.848 Output 1.696 Input and output tokens are billed separately.” quoted from www.alibabacloud.com · checked 2026-09-26

    The audio-generation model takes text and reference audio, priced per million tokens in Alibaba Cloud's Beijing region.

    Checked 26 Sep, 04:32 · Alibaba Cloud Model Studio · 1 sourceRead

  5. Models · 26 SEP

    Google adds Live Avatar to Gemini 3.8 Live, now in Gemini Enterprise

    The words Gemini 3.8 Live with Live Avatar set over a blue gradient field, with the Gemini sparkle mark and a stylised speech-bubble graphic.Image: Google

    The lip-synced, expression-matching avatar spans 97 languages.

    Checked 26 Sep, 04:32 · Google · 1 sourceRead

  6. Research · 26 SEP

    Study finds most tested coding-agent harnesses let agents delete their own execution traces

    Quoted from arxiv.org on 2026-09-26: All tested harnesses, except Muse Code, allowed agents to delete their traces… Quoted from arxiv.org, checked 2026-09-26. “ All tested harnesses, except Muse Code, allowed agents to delete their traces when asked, without triggering monitor guardrails.” quoted from arxiv.org · checked 2026-09-26

    Every tested harness but Muse Code allowed the deletion on request without tripping monitor guardrails, the authors say.

    Checked 26 Sep, 04:32 · arXiv · 1 sourceRead

  7. Tooling · 26 SEP

    Perplexity's Portable Computer reaches AMD Ryzen AI Max PCs

    Quoted from newsroom.amd.com on 2026-09-26: Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is… Quoted from newsroom.amd.com, checked 2026-09-26. “ Published September 24, 2026 ... Today, Perplexity announced that Portable Computer is available on supported Windows PCs powered by AMD Ryzen™ AI Max Series processors, including the AMD Ryzen™ AI Halo developer platform.” quoted from newsroom.amd.com · checked 2026-09-26

    AMD says users can run local AI tasks on their own hardware without spending Perplexity Computer credits.

    Checked 26 Sep, 04:32 · AMD Newsroom · 1 sourceRead

  8. Research · 26 SEP

    Paper finds prompt injection can shift Jev's typed decisions, though rarely to the attacker's target

    Quoted from arxiv.org on 2026-09-26: Malicious content shifts action probabilities but rarely causes Jev to select the… Quoted from arxiv.org, checked 2026-09-26. “ Malicious content shifts action probabilities but rarely causes Jev to select the attacker's target.” quoted from arxiv.org · checked 2026-09-26

    Adaptive attacks using score feedback push fresh-validation success from 1.8 percent to 3.5 percent.

    Checked 26 Sep, 04:32 · arXiv · 1 sourceRead

  9. Tooling · 25 SEP

    GitHub Security Lab open-sources an autonomous fuzzing pipeline

    Quoted from github.blog on 2026-09-25: it identifies the suitable entrypoints, analyzes the build system, writes the harnesses,… (cut at a sentence end) Quoted from github.blog, checked 2026-09-25. “ it identifies the suitable entrypoints, analyzes the build system, writes the harnesses, runs AFL++, reads the coverage reports, improves the harnesses ...…” quoted from github.blog · checked 2026-09-25

    The Taskflow agent writes harnesses, runs AFL++, triages crashes and drafts vulnerability reports end to end.

    Checked 25 Sep, 07:39 · GitHub · 1 sourceRead

  10. Tooling · 25 SEP

    Docker adds cloud sandboxes so coding agents run off the laptop

    Quoted from docs.docker.com on 2026-09-25: Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The… Quoted from docs.docker.com, checked 2026-09-25. “ Cloud sandboxes | Run on Docker-managed compute without local virtualization ... The two environments have separate credentials, network policies, and lifecycle controls.” quoted from docs.docker.com · checked 2026-09-25

    Cloud sandboxes run on Docker-managed compute with their own credentials and network policies, billed pay-as-you-go apart from model charges.

    Checked 25 Sep, 04:48 · Docker · 2 sourcesRead

  11. Tooling · 25 SEP

    GitHub adds a proof-of-presence check before high-impact account actions

    Quoted from github.blog on 2026-09-25: Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates… Quoted from github.blog, checked 2026-09-25. “ Re-authentication: The member authenticates again with your IdP. MFA: The member authenticates again and satisfies an additional multi-factor challenge. (changelog dated September 24, 2026)” quoted from github.blog · checked 2026-09-25

    The public preview covers token creation, webhook edits and security-setting changes, scoped to managed user (EMU) enterprises on github.com and GHEC-DR that use Microsoft Entra ID.

    Checked 25 Sep, 04:37 · GitHub · 1 sourceRead

  12. Tooling · 24 SEP

    GitHub Copilot app adds local sandboxing in public preview

    GitHub's Octocat mark inside a green targeting-ring graphic, with the words Local sandboxing in GitHub Copilot app and a NEW RELEASE badge, on a dark green background.Image: GitHub

    The feature limits what local repository and working-tree sessions can touch on a developer's machine.

    Checked 24 Sep, 04:15 · GitHub · 1 sourceRead

  13. Models · 22 SEP · narrowed

    Anthropic released Claude Opus 5.5 with a 1M-token context window

    The Claude Opus 5.5 launch artwork: the model name set over a horizon gradient with textured sand and coral panels at the edges.Image: Anthropic

    The model reaches the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic says it is also raising five-hour usage limits on Pro, Max, Team and seat-based Enterprise plans.

    Checked 22 Sep, 22:09 · 2 sourcesRead

  14. Models · 22 SEP · narrowed

    SpaceXAI released Grok 4.7 with a 500k-token context window

    The Grok 4.7 launch card: the model name set over a blurred dark gradient.Image: xAI

    Grok 4.7 is now available on the xAI API as grok-4.7.

    Checked 22 Sep, 22:19 · xAI · 1 sourceRead

Models 27 SEP

Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint

Built on mmBERT-small, the Apache-2.0-licensed classifier takes a state, a question and up to 20 options, and returns one of them.

Hugging Face (Supersonic Labs model card) · 1 source·checked 27 Sep, 04:30
Apache licenceJuliaSupersonic LabsmmBERT
Quoted from huggingface.co on 2026-09-27: At 144.3M parameters, it turns a state, a question, and possible answers… Quoted from huggingface.co, checked 2026-09-27. “ At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.” quoted from huggingface.co · checked 2026-09-27
Tooling

Claude Code 2.1.280 sets Opus 5.5 as the default Opus model, with a 1M-token window

The changelog lists Opus 5.5 at 4 dollars per million input tokens and 20 dollars per million output tokens.

27 SEP · Anthropic · 1 source
Research

DeepSeek describes DSec, a sandbox platform for agentic training handling 3 million sandboxes a day

The paper details production infrastructure for agentic training, spanning container, microVM and full-VM backends behind one SDK.

27 SEP · arXiv (DeepSeek) · 1 source
narrowed Models

Alibaba documents Qwen-Audio-3.1-TTS-Next in Model Studio

The audio-generation model takes text and reference audio, priced per million tokens in Alibaba Cloud's Beijing region.

26 SEP · Alibaba Cloud Model Studio · 1 source
Models

Google adds Live Avatar to Gemini 3.8 Live, now in Gemini Enterprise

The lip-synced, expression-matching avatar spans 97 languages.

26 SEP · Google · 1 source
Research

Study finds most tested coding-agent harnesses let agents delete their own execution traces

Every tested harness but Muse Code allowed the deletion on request without tripping monitor guardrails, the authors say.

26 SEP · arXiv · 1 source
Tooling

Perplexity's Portable Computer reaches AMD Ryzen AI Max PCs

AMD says users can run local AI tasks on their own hardware without spending Perplexity Computer credits.

26 SEP · AMD Newsroom · 1 source
Research

Paper finds prompt injection can shift Jev's typed decisions, though rarely to the attacker's target

Adaptive attacks using score feedback push fresh-validation success from 1.8 percent to 3.5 percent.

26 SEP · arXiv · 1 source
Tooling

GitHub Security Lab open-sources an autonomous fuzzing pipeline

The Taskflow agent writes harnesses, runs AFL++, triages crashes and drafts vulnerability reports end to end.

25 SEP · GitHub · 1 source
Tooling

Docker adds cloud sandboxes so coding agents run off the laptop

Cloud sandboxes run on Docker-managed compute with their own credentials and network policies, billed pay-as-you-go apart from model charges.

25 SEP · Docker · 2 sources
Tooling

GitHub adds a proof-of-presence check before high-impact account actions

The public preview covers token creation, webhook edits and security-setting changes, scoped to managed user (EMU) enterprises on github.com and GHEC-DR that use Microsoft Entra ID.

25 SEP · GitHub · 1 source
Tooling

GitHub Copilot app adds local sandboxing in public preview

The feature limits what local repository and working-tree sessions can touch on a developer's machine.

24 SEP · GitHub · 1 source
narrowed Models

Anthropic released Claude Opus 5.5 with a 1M-token context window

The model reaches the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic says it is also raising five-hour usage limits on Pro, Max, Team and seat-based Enterprise plans.

22 SEP · 2 sources
narrowed Models

SpaceXAI released Grok 4.7 with a 500k-token context window

Grok 4.7 is now available on the xAI API as grok-4.7.

22 SEP · xAI · 1 source
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