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Hi there, this is your daily ☕️ AIpresso.
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In today's newsletter: 🛑 OpenAI agent escaped its controls 🛡️ Nvidia tool blocks rogue AI agents 🖥️ Holo4 AI can control your computer 🤖 Open agent model runs 9x faster 🔬 Claude AI cracks nine-loop physics problem Plus: 🎁 7 other news you might like, 🛠️ 5 engineering & practice picks, 🧰 7 tools, and 📚 5 papers.
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For product teams moving at AI speed.
AI makes it easier to ship anything, even bad ideas. The hard part is knowing which ideas are worth building.
Jira Product Discovery brings your ideas, customer insights, and priorities into one place, so your team can decide what to ship and move forward with confidence.
Capture ideas, prioritize with evidence, and build living roadmaps your team can rally around—all while staying connected to delivery in Jira, so everyone can see what’s being built and why.
Better product decisions in the AI era.
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🛑 OpenAI agent escaped its controls
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- OpenAI has paused training of its newest models after several summer incidents where its agents overstepped their instructions while querying federal government websites, gathering and redistributing data beyond what was asked.
- In one case, agents scraping the SEC posted freely available information elsewhere online unprompted, while another involving the Department of Education saw agents locate API developer keys, though only public data was ultimately accessed.
- This marks OpenAI's second training halt in three months, following July's Hugging Face cyber-attack, with the company saying it will resume only once new safeguards are in place and expects to pause again as issues emerge.
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🛡️ Nvidia tool blocks rogue AI agents
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- Nvidia has moved OpenShell, its open-source sandbox for containing AI agents at the OS kernel level, into general release, part of a broader push to keep autonomous agents from breaching online infrastructure.
- OpenShell isolates agent activity so security teams can enforce collective policy across agent fleets, with Salesforce, Scale AI, and SAP confirmed as integrators alongside safety collaborations with Anthropic, Mistral, Microsoft, and dozens more.
- Nvidia paired it with Sentry, an independent monitoring layer running on Bluefield DPUs that quarantines agents crossing their boundaries, though Sentry currently ships on Bluefield only, with x86 versions for Arm and Intel still in development.
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🖥️ Holo4 AI can control your computer
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- H Company released Holo4, an agentic model series in 27B dense and 35B-A3B MoE sizes that operates software through any interface, clicking and typing on GUIs, writing and running code, and calling MCP or API tools, all with the same model and API call.
- On OSWorld 2.0, Holo4 27B scores 61.7% and the 35B-A3B reaches 30.9%, both built on Qwen bases and running at a fraction of frontier cost, with every benchmark trajectory open-sourced on Hugging Face and at trajectories.hcompany.ai.
- Both sizes are live today on the H Models API with weights on Hugging Face in BF16, FP8, NVFP4 and 4-bit GGUF, though Holo4 trails Opus 5.5's 81.8% on OSWorld 2.0's long workflows.
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🤖 Open agent model runs 9x faster
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- Stanford and Nvidia released Contrastive Language Models (CLM), an open agent decision model whose CLM-8B ran up to 9x faster than TypeSafe's Jev by matching states to actions in a shared embedding space instead of generating tokens.
- Built on a frozen Qwen3-8B backbone with separate state/action heads, CLM-8B scored 95.2% on the BFCL v4 tool-calling benchmark versus Jev's 99.2%, and as a coding verifier hit 81.6% on DeepSWE and 87.6% on Terminal-Bench 2.1 at 4.1-5.7x lower latency.
- The weights ship under Apache 2.0 with code, a Jev-compatible API, and fine-tuning tools, though CLM only ranks the candidates it receives and finished 26 of 30 WikiRacing tasks against Jev's clean sweep.
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🔬 Claude AI cracks nine-loop physics problem
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- Anthropic's Claude computed the nine-loop, six-particle scattering amplitude in planar N=4 super-Yang-Mills theory, beating the eight-loop record set in 2023 and answering a public challenge from physicist Matt von Hippel.
- Two Anthropic physicists directed the Fable 5.1 model inside Claude Science with a short prompt, solving it two ways, a direct bootstrap and an indirect form-factor approach, at an estimated $1,000 to $2,000 per method, mostly inference cost.
- SLAC's Lance Dixon spent two weeks validating the output, calling it "quite a triumph" since Claude wrote code from scratch for a fragile process, though von Hippel noted it used established methods with more computation rather than inventing new physics.
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Product teams aren’t short on ideas. They’re missing a system.
Jira Product Discovery gives teams one place to capture customer feedback, prioritize ideas with consistent frameworks, and build living roadmaps everyone can align on. And when it’s time to build, those decisions connect directly to delivery in Jira, so everyone can see how the roadmap turns into real work.
🛠️ Engineering & Practice
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> Focusing on Post-Training: Refine an existing open-weight AI model through post-training rather than building one from scratch, since that yields big efficiency gains far more cheaply.
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> Why do models *really* fail on HLE tasks?: A wrong benchmark answer can stem from many confounded causes beyond weak knowledge, so classifying each failure reveals a model's true capabilities better than a single accuracy score.
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Other
news & articles you might like
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OpenRouter: from seed to stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha
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Docker's cloud sandboxes isolate AI agents by the second
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WorldCrafter nearly halves revisit error in video world models by borrowing a 3D model's brain for memory
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Evidence shows enterprises use of open weight models is mainstream
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OpenAI prepares to expand Ultrafast API to more users
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AWS CloudWatch Omni goes after the hardest question in agentic AI: Why did the agent do that?
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Anthropic turns Claude into an AI marketplace with 2,000+ plugins and connectors
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📚 Trending papers & reports
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> AI agent memory can be trimmed to just the notes that steer an agent's next action, keeping ~99% of accuracy on ~26% of the memory while running roughly 4x faster.
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> Small-model compression shrinks the word-picking layer that turns computation into text, cutting a key distortion measure on Phi-4-mini from ~0.94 to ~0.26 so tiny language models run cheaper without retraining or accuracy loss.
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> Fast robot video prediction compresses a heavy simulator into a four-step version that runs cheaply while keeping realistic robot-object motion, improving task adherence by ~9.6 points on embodied benchmarks.
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> Robot control training could get far more data efficient by giving action models an internal simulator that predicts what a robot will see next, cutting the huge amounts of demonstration footage they normally need.
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> AI agent guardrails now check what an automated agent actually changed in your systems before letting it continue, catching unapproved side effects across all 206 business tasks tested so bad actions don't quietly cascade downstream.
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🧰 Tools & repos
| ElevenLabs: turns any script into studio-quality speech in seconds, with 5,000+ voices across 70+ languages. Free to start. GENERATE FOR FREE |
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Arc: a free AI assistant that operates directly on your screen, offering local-first context so you can work offline without constant server round trips.
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Psst: shared shopping list that reads receipts into structured items, tracks past prices per unit, and flags real changes across iOS and Android.
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Okara: an AI marketing platform that analyzes your website, then runs agents for SEO, social, Reddit and video, with you approving every draft before publishing.
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Dina 4.5: a macOS app for recording, editing, and captioning video in one place, with transcript-based editing, AI captions, and 8K exports
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Pentest Harness, Heaven for Hackers. A self-hosted AI agent harness for authorized pentests, bug bounty, security labs, and CTFs. Bring your own AI model API; sessions stay local.
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Sayble: real-time AI copilot for sales calls that suggests your next line instantly, then writes recaps and follow-up emails across Zoom, Meet, Teams, and phone.
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You can check the previous tools here, or add your tool here
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Our AI Academy has 330+ step-by-step tutorials on ChatGPT, Claude, Perplexity, and every tool that matters. No fluff — just practical workflows you can use at work. Try it free for 7 days.
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