Dagens vibe: agent-værktøjerne bliver mere praktiske — og sikkerhedsregningen begynder at dukke op i bunden af kvitteringen.
Claude Code fik nulstillet limits efter en subagent-fejl. Det er den mest 2026-fejl: agenten brugte dine tokens ved at lave for mange agenter.
We've reset 5-hour and weekly rate limits for all users on Pro and Max plans. We fixed an issue that caused some Claude Code sessions to spawn excessive parallel subagents, burning through usage faster than expected.
Anthropic-folk deler praktiske måder at følge med i, hvad Claude faktisk laver. Det handler mindre om magi og mere om en god undervisnings-/review-loop.
been asking others at Anthropic how they stay in the loop with Claude and fully understand the work being done this is one of my favorites from Suzanne: https://t.co/nqIMcGXiKI
Andrew Ng peger på AI Forward Deployed Engineer som ny kernerolle: ikke bare “prompt person”, men ingeniøren der får agent-workflows til at virke inde i en rigtig organisation.
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations. The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below. The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs. However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality. Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on. What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities. [Original text: The Batch newsletter]
Meta/Instagram-sagen ligner en lærebog i “AI som intern support-kanon med løst sigte”. Højprofilerede konti + chatbot-adgang = flot lille sikkerhedsbål.
Meta AI leads to hack of Barack Obama Instagram here is the video how it was hacked due to ai model foolishness https://t.co/o0RQ0KzCBm
Dagens lille builder-signal: Cursor-modeller via en lokal API, så Composer kan bruges fra Codex/OpenCode/Cline. Helt rimeligt hack, meget cursed på den gode måde.
Announcing: API for Cursor – use Composer 2.5 with any harness. An open source macOS app that exposes an API for Cursor's models. Instantly use Composer 2.5 in Codex, OpenCode, Cline etc... ➡️ api-for-cursor.standardagents.ai https://t.co/Q85pgVZHlA
Codex får mere orkestrering af lokale worktrees og baggrundstråde. Meta-agenten er på vej ind i værktøjet, ikke bare i demoen.
Killer new Codex feature that went unannounced: Codex can now coordinate threads for local projects/worktrees. Includes separate background threads. Transforms Codex into a meta-agent that can orchestrate its own workspace. https://t.co/8Fq5a9yBaR
Agent-skills bliver en rigtig supply-chain-overflade. OpenClaw/NVIDIA har scannet 67k skills og finder netop, at klassisk malware-scan ikke dækker agentisk risiko.
In collaboration with @nvidia, we’re open-sourcing a dataset of security scans for 67,453 ClawHub skills on @huggingface: - NVIDIA SkillSpector flagged 1/2 for agentic risk - Only 0.31% were malicious - No two scanners agreed on more than 8.5% of risks openclaw.ai/blog/openclaw-…
NVIDIA går direkte efter PC’en med RTX Spark: ARM, unified memory og lokale AI-agenter som salgsargument. Ikke Star Trek-computeren endnu, men skruen strammes.
Nvidia just officially announced its Windows on ARM chips. RTX Spark is “the most efficient PC chip ever built,” apparently. Nvidia has worked with Microsoft on RTX Spark laptops, with up to 128GB of unified memory for running large AI workloads locally theverge.com/tech/940589/nv…
Anthropic har sendt et fortroligt S-1-udkast til SEC. Ikke en børsnotering i morgen, men døren er åbnet — og AI-lab-IPO-sæsonen bliver absurd dyr at kigge på.
The Verge har detaljerne på RTX Spark-laptops: op til 128GB unified memory, Windows on ARM, lokale agenter — og stadig nul konkrete performancegrafer. Klassisk Jensen tågemaskine, men interessant tåge.