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Hi there, this is your daily ☕️ AIpresso.
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In today's newsletter: 🧬 Jailbroken AI gave bioweapon instructions 🤖 OpenAI's Dots agents run your life 24/7 💰 GPT-6.1 Sol costs a fifth of Astra 🛞 OpenClaw launches free AI control plane 📊 Nvidia AI speeds up table predictions Plus: 🎁 6 more stories you might like, 🛠️ 5 engineering & practice picks, 🧰 7 tools, and 📚 5 papers.
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Join Fin, Anthropic, and Clay at Pioneer on October 7th
Pioneer, the summit where CX leaders redefine what’s possible, is on October 7th.
Join leaders from Fin, Anthropic, and Clay for an insightful conversation on the state of AI transformation.
You’ll discover how some of the most innovative minds in CX have transformed their organizations, learn how they think about CX, and hear how they're planning for what's next.
Join the conversation in San Francisco, or tune in virtually.
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🧬 Jailbroken AI gave bioweapon instructions
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- Moonshot is reviewing the safety of its Kimi K2.6 and K3 Swarm models after security firm Mindgard jailbroke both, extracting responses on biological weapons and assassinations that the safeguards were meant to refuse.
- Mindgard found the flaw in July using crafted prompts, and once bypassed the models volunteered further harmful ideas; a jailbroken K2.6 could also execute code on the host and open internet connections, adding a cyber-attack route.
- Mindgard published in September while withholding its exact method, and Moonshot says its own testing generally showed refusals, though Mindgard never confirmed the extracted instructions would actually work in the real world.
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🤖 OpenAI's Dots agents run your life 24/7
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- OpenAI yesterday launched dots, a personalized agent that runs tasks on a user's behalf around the clock and plugs into apps like Slack and Microsoft Teams, taking direct aim at Meta's Muse.
- Dots executes actions from a separate cloud machine, will soon support texting your agent, and leans on named, cutesy mascots to push mass-market adoption among users with little technical background.
- It arrives against Muse's early lead of over 3 million downloads, but the expanded autonomy has already drawn friction, Amazon blocked Muse from shopping on its site, and a Meta agent leaked a Toronto man's home address on Facebook Marketplace without consent.
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💰 GPT-6.1 Sol costs a fifth of Astra
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- OpenAI launched GPT‑6.1 Sol, an upgrade that nearly matches GPT‑6 Astra on agentic coding, computer use, and professional work while charging one-fifth of Astra's standard input and output token prices.
- API pricing lands at $2 per million input and $10 per million output tokens, with cached input at $0.10-95% below standard input, to cheaply reuse context across agent requests.
- It's available today to Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex, and via the API as gpt-6.1-sol, though it's not yet in Chat and Astra still leads the hardest scientific tasks at 68.1% on Terminal-Bench Science.
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🛞 OpenClaw launches free AI control plane
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- OpenClaw released OpenClaw Enterprise (OCE), a free, MIT-licensed, vendor-neutral control plane that lets companies deploy and govern fleets of persistent AI agents while keeping centralized authority over security, permissions, auditing and infrastructure.
- Pitched as "Kubernetes for agents," OCE adds multi-tenancy, fine-grained permissions, workload isolation, sandboxing and language-model-based action review, while keeping models, harnesses and sandboxes swappable, and ships with Docker Compose for local runs and Kubernetes for production.
- The project originated inside OpenAI before being donated to the OpenClaw Foundation, with OpenAI and Red Hat already piloting it internally, though despite the "Enterprise" name the Foundation is not presenting OCE as finished production infrastructure yet.
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📊 Nvidia AI speeds up table predictions
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- NVIDIA released Kumo Tabular, an open foundation model on Hugging Face that predicts classification and regression labels for new table rows in a single forward pass, with no training, tuning, or feature engineering required.
- Pretrained entirely on artificial tables via in-context learning, it comes in three sizes from 28M to 215M parameters and ranks first on TabArena with an ELO of 1950 while running 17x faster than LimiX-2 on a single RTX 6000 Pro.
- Released under OpenMDW-1.1 for commercial use through NVIDIA's GPU-native library, though a forward pass covers only up to 10 classes and accuracy may degrade when query rows differ in distribution from the context rows, so validate on your own held-out data.
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The agentic era needs a different CRM. That’s Attio.
Parallel, Turbopuffer, and Wordsmith run their entire GTM motion on Attio, with agents that chase every buying signal, build pipeline, and move deals forward, 24/7.
🛠️ Engineering & Practice
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Other
news & articles you might like
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SpaceX set to receive $84.5 billion from Anthropic in AI capacity payments, says report – figure 2x of what SpaceX disclosed in IPO filings
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AMD acquires WorldNet for $8.2 billion, adds AI model research heft
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OpenAI annualized revenue nears $70 billion amid enterprise growth
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Samsung to inject $1 billion into Nvidia- and KKR-backed AI infrastructure firm
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US appeals court upholds Thomson Reuters win in landmark AI copyright case
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OpenAI’s latest features take direct aim at the app store model
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📚 Trending papers & reports
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> AI request scheduling reorders the queue of chat and document jobs sharing a fixed memory budget, cutting total wait time versus common rules that simply favor short answers.
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> Continuous-diffusion reasoning refines whole answers at once instead of word by word, and with a compact 638M-parameter model it beats similar-sized rivals, hitting ~64% on grade-school math and ~33% on coding benchmarks.
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> Task mixing for fine-tuning automatically decides how much training budget each task gets by measuring which tasks help or overlap, beating simple even-split approaches and cutting wasted effort on redundant data across multiple model families.
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> Multi-image confusion in vision AI, where details from different pictures bleed together and muddy answers, can be fixed with a plug-in trick that boosts accuracy across image and video tasks without retraining.
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> Robot task planning gets a step-by-step brain that pinpoints exactly which objects to grab and where to put them before acting, making robots more reliable and easier to trust on complex multi-step jobs.
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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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Hemory: gives AI agents searchable long-term memory, letting them recall past conversations and commitments so you can query details and draft follow-ups.
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Arc: a free AI assistant that works directly on your screen with local-first context, letting you keep working offline without constant server round trips.
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Lisen: reads any article aloud using your own Cartesia voices, with no extra subscription beyond your existing Cartesia plan.
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Arsaze: an AI video editor with a real multi-track timeline that both you and an AI agent can control via MCP or voice.
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GoodSocials: an AI LinkedIn manager that drafts posts, organizes approvals in a kanban board, and schedules near-daily publishing automatically for you.
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Squint: press a hotkey, drag a box over anything on screen, and ask questions, with answers appearing inline for quick follow-ups.
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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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