STMicro plans to retrain workers and deploy humanoid robots in its older chip plants for repetitive and physically demanding tasks, aiming to avoid closures (Nathan Vifflin/Reuters)
https://www.reuters.com/business/stmicroelectronics-pla…
Anyone know of an Android to-do list application that is
* Completely device local, no network connectivity required or used
* No ads or spyware
* Doesn't time-out tasks even if they sit around for a year uncompleted (looking at you, google calendar)
* Supports recurring maintenance tasks for weekly, monthly, etc. cleaning or something
Open source preferred, but willing to pay a reasonable price if it's out there as a commercial tool
User: Rovo, can JIRA be used for project planning?
Rovo: Yes, absolutely. It's actually best for that ... bla bla bla
User: How do I specify temporal dependencies between tasks and identify the critical path?
Rovo: Jira can't actually do that.
#WTF #AI
@… Thanks for the feedback!
Great idea to use Jinja! I’ve considered using a macro processor (e.g., m4) for similar tasks, but who wants to write m4 macros!? A template engine is a much better idea.
@… Thanks for the feedback!
Great idea to use Jinja! I’ve considered using a macro processor (e.g., m4) for similar tasks, but who wants to write m4 macros!? A template engine is a much better idea.
heise | To-Do-Apps im Vergleich: Google Tasks vs. Zenkit, Todoist und Tasks.org
Endlich nichts mehr vergessen: Google Tasks erinnert pünktlich an Aufgaben, Pflichten und Geburtstage. Wir zeigen, welche Apps mehr Komfort und Features bieten.
Z.ai launches GLM-5, its flagship open-weight model, saying it has best-in-class performance among open-source models in reasoning, coding, and agentic tasks (Z.ai)
https://z.ai/blog/glm-5
Overheard in the office:
Cuts and attrition have cut so deep that a single person taking a sick or vacation day leaves some tasks without any coverage. Managers are handling that by calling on people to cross-train, but that piles on additional mental load onto a team that was already stretched thin.
#OfficeWorkerGripes
AgentCgroup: Understanding and Controlling OS Resources of AI Agents
Yusheng Zheng, Jiakun Fan, Quanzhi Fu, Yiwei Yang, Wei Zhang, Andi Quinn
https://arxiv.org/abs/2602.09345 https://arxiv.org/pdf/2602.09345 https://arxiv.org/html/2602.09345
arXiv:2602.09345v1 Announce Type: new
Abstract: AI agents are increasingly deployed in multi-tenant cloud environments, where they execute diverse tool calls within sandboxed containers, each call with distinct resource demands and rapid fluctuations. We present a systematic characterization of OS-level resource dynamics in sandboxed AI coding agents, analyzing 144 software engineering tasks from the SWE-rebench benchmark across two LLM models. Our measurements reveal that (1) OS-level execution (tool calls, container and agent initialization) accounts for 56-74% of end-to-end task latency; (2) memory, not CPU, is the concurrency bottleneck; (3) memory spikes are tool-call-driven with a up to 15.4x peak-to-average ratio; and (4) resource demands are highly unpredictable across tasks, runs, and models. Comparing these characteristics against serverless, microservice, and batch workloads, we identify three mismatches in existing resource controls: a granularity mismatch (container-level policies vs. tool-call-level dynamics), a responsiveness mismatch (user-space reaction vs. sub-second unpredictable bursts), and an adaptability mismatch (history-based prediction vs. non-deterministic stateful execution). We propose AgentCgroup , an eBPF-based resource controller that addresses these mismatches through hierarchical cgroup structures aligned with tool-call boundaries, in-kernel enforcement via sched_ext and memcg_bpf_ops, and runtime-adaptive policies driven by in-kernel monitoring. Preliminary evaluation demonstrates improved multi-tenant isolation and reduced resource waste.
toXiv_bot_toot
I found a solid iOS client for using my LM Studio-hosted models.
The Web Agent is interesting - launches Google in an in-app browser, parses the SERP, and delivers the results of your query back in the chat window - all while you watch what it's doing.
Qwen 3.5 35b performs well with these tasks, even if it's a little slow for interactive tasks on my hardware.
Find the app here:
windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted
I really dont understand the infatuation people have with this 'task' command, the UX is so so poor.
$ task -l
* build-bundles: Build testing bundles
$ cat taskfile.yaml | yq '.tasks|keys'
- b
- fast-bench
- bench
- bench-graph
....28 more
Ridiculous
Fun playing ARC-AGI-3 , puzzles that the most advanced AI-models can only solve for 1% 😀
Illustrates how AI models look extremely smart but are at the same time quite dumb.
#AI
Word and Excel vs LLMs.
Secretaries became executive assistants, their role evolved to higher-level coordination, communication, and decision support. Accountants gained the ability to do far more analysis, strategic planning, and advisory work. The tools eliminated tedious manual tasks, but the roles themselves weren't eliminated. They were elevated.
The same pattern applies to programmers. LLMs can handle boilerplate, generate first drafts, automate simple tasks.
@… my mentor at my first real programming job convinced me to keep paper notes and I have ever since. Writing down the date and then goals for the day is a great morning ritual. I draw little check boxes as tasks come up and sometimes remember to go back and find unchecked boxes that I forgot about.
This year I'm trying to start my Mondays with a review of …
A agentic OS is n OS where every tasks is being done by an entertainment-purpose only agent.
A collegue and I have been doing a lot of testing with Opus 4.6 since yesterday. I spent $23 in a single prompt using /fast btw, insane! Anyway, the agent team functionality is cool to see, but I was underwhelmed by the quality.
Overall, I haven't noticed much improvement against Opus 4.5 at individual tasks. But when using agent teams, the quality is more like Sonnet 4.5's. It is not that smart.
Robust Multiagent Collaboration Through Weighted Max-Min T-Joins
Sharareh Alipour
https://arxiv.org/abs/2602.07720 https://arxiv.org/pdf/2602.07720 https://arxiv.org/html/2602.07720
arXiv:2602.07720v1 Announce Type: new
Abstract: Many multiagent tasks -- such as reviewer assignment, coalition formation, or fair resource allocation -- require selecting a group of agents such that collaboration remains effective even in the worst case. The \emph{weighted max-min $T$-join problem} formalizes this challenge by seeking a subset of vertices whose minimum-weight matching is maximized, thereby ensuring robust outcomes against unfavorable pairings.
We advance the study of this problem in several directions. First, we design an algorithm that computes an upper bound for the \emph{weighted max-min $2k$-matching problem}, where the chosen set must contain exactly $2k$ vertices. Building on this bound, we develop a general algorithm with a \emph{$2 \ln n$-approximation guarantee} that runs in $O(n^4)$ time. Second, using ear decompositions, we propose another upper bound for the weighted max-min $T$-join cost. We also show that the problem can be solved exactly when edge weights belong to $\{1,2\}$.
Finally, we evaluate our methods on real collaboration datasets. Experiments show that the lower bounds from our approximation algorithm and the upper bounds from the ear decomposition method are consistently close, yielding empirically small constant-factor approximations. Overall, our results highlight both the theoretical significance and practical value of weighted max-min $T$-joins as a framework for fair and robust group formation in multiagent systems.
toXiv_bot_toot
The #ai #apocalypse is near 🤬
RentAHuman.ai - AI Agents Hire Humans for Physical Tasks https://rentahuman.ai
One useful way to think about today's chatbots is that they function more like secretaries than physicians.
They are remarkably effective at organising information, summarising text, and structuring complex documents.
These are the kinds of tasks where language models are already proving useful within healthcare systems,
for example in drafting clinical notes, summarising patient records, or generating referral letters
The promise of AI in medicine remains real, …
Intel unveiled its Heracles chip at ISSCC in February, saying it accelerates fully homomorphic encryption tasks up to 5,000x faster than top Intel server CPUs (Samuel K. Moore/IEEE Spectrum)
https://spectrum.ieee.org/fhe-intel
The other one I truly love is GitUp (https://gitup.co). Its visualization handles certain specific tasks better than anything else — tasks where I’m more concerned about the shape of the commit graph than the contents of individual commits.
Because of the way it does live updates of repo state and offers a whole-commit-graph-level undo, I’ll sometimes keep it open in the background while doing some fiddly thing in another tool (Fork, CLI, whatever) just so I can see what the ^*@# is happening.
Alas, its lack of support for commit signing means I use it less and less.
It is really fun to have all my data directly accessible on my phone without having to rely on an active internet connection. Not that I don't have one but I just don't need one for most of the tasks.
This is mainly done through #Syncthing and an SD card in my #fairphone
…
windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted
Cloud computing provider Nebius agrees to buy Tavily, which helps AI agents search for up-to-date information for tasks like coding, a source says for $275M (Dina Bass/Bloomberg)
https://www.bloomberg.com/news/articles/20…
🥳 New Kitten¹ release
• Added `initialise()` hook to `kitten.Component` instances.
This gets called at the end of the constructor and is handy if you don’t want to override the constructor and have to handle the `data` parameter and remember to call `super(data)`. You can still access passed data from `this.data`.
Note that the component is not part of the view hierarchy on the client at this point. If you have tasks you need to perform only once per page – for example, ins…
Emil Michael says Google will deploy Gemini AI agents to Pentagon's 3M-strong workforce, initially on unclassified networks for tasks such as creating budgets (Katrina Manson/Bloomberg)
https://www.bloomberg.com/news/articles/20
Great talk by @… of #GNU #Hurd fame, in a packed room, selling the the Hurd really well (in my not entirely unbiased opinion, of course) and starting with
It'…
Reading about moltbook/openclaw in @… toot is fascinating; If things get really really crazy I can imagine a development where AIs showing off skills and getting hired by other bots to do tasks kind of like a bountyhunter website; being paid in compute time or bitcoins at a rate set by their owners.
YOLO Wasn't expecting to warming up to using an agent for the shitty tasks this easily
#YOLO #Junie #LLM
From Isolation to Integration: Building an Adaptive Expert Forest for Pre-Trained Model-based Class-Incremental Learning
Ruiqi Liu, Boyu Diao, Hangda Liu, Zhulin An, Fei Wang, Yongjun Xu
https://arxiv.org/abs/2602.20911 https://arxiv.org/pdf/2602.20911 https://arxiv.org/html/2602.20911
arXiv:2602.20911v1 Announce Type: new
Abstract: Class-Incremental Learning (CIL) requires models to learn new classes without forgetting old ones. A common method is to freeze a pre-trained model and train a new, lightweight adapter for each task. While this prevents forgetting, it treats the learned knowledge as a simple, unstructured collection and fails to use the relationships between tasks. To this end, we propose the Semantic-guided Adaptive Expert Forest (SAEF), a new method that organizes adapters into a structured hierarchy for better knowledge sharing. SAEF first groups tasks into conceptual clusters based on their semantic relationships. Then, within each cluster, it builds a balanced expert tree by creating new adapters from merging the adapters of similar tasks. At inference time, SAEF finds and activates a set of relevant experts from the forest for any given input. The final prediction is made by combining the outputs of these activated experts, weighted by how confident each expert is. Experiments on several benchmark datasets show that SAEF achieves SOTA performance.
toXiv_bot_toot
windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted
Alibaba's DAMO Academy releases RynnBrain, an open-source foundation model to help robots perform real-world tasks like navigating rooms, trained on Qwen3-VL (Saritha Rai/Bloomberg)
https://www.bloomberg.com/news/articles/2026…
What will people do when AI can handle most current white-collar tasks?
I don't know.
And that's the whole point.
Nobody knew what displaced agricultural workers would do, either,
-- until they did it.
The absence of a visible next chapter isn't evidence that there won't be one.
It's evidence that we're bad at predicting what humans will invent when constraints shift.
windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted
Microsoft launches Copilot Cowork, integrating Anthropic's Claude Cowork tech into Microsoft 365 and using Work IQ to ground actions in organizational data (Charles Lamanna/Microsoft 365 Blog)
https://www.microsoft.com/en-us/microsoft-
New open weights model Kimi K2.5
"self-directed agent swarm paradigm" ,
"For complex tasks, Kimi K2.5 can self-direct an agent swarm with up to 100 sub-agents, executing parallel workflows across up to 1,500 tool calls. Compared with a single-agent setup, this reduces execution time by up to 4.5x. The agent swarm is automatically created and orchestrated by Kimi K2.5 without any predefined subagents or workflow."
windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted
Hands-on with Google's Auto Browse for Chrome: its ability to perform multistep tasks is noticeably better than similar tools but struggles with complex tasks (Reece Rogers/Wired)
https://www.wired.com/story/google-chrome-auto-browse-hands-on/
OpenAI launches GPT-5.3-Codex, which it says runs 25% faster, enabling longer-running tasks, and "is our first model that was instrumental in creating itself" (David Gewirtz/ZDNET)
https://www.zdnet.com/article/openai-gpt-5-3-codex-faster-goes-beyond-c…
windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted
DoorDash launches Tasks, a new app that pays delivery couriers in some markets to submit video clips and complete other tasks for training AI models (Natalie Lung/Bloomberg)
https://www.bloomberg.com/news/articles/2026-03-…
Generalist, which raised $140M at a $440M valuation in 2025, releases GEN-1, an AI model to help robots handle high-dexterity tasks typically done by humans (Anna Tong/Forbes)
https://www.forbes.com/sites/annatong/2026
Fieldguide, which uses AI agents to automate accounting and auditing tasks, raised a $75M Series C led by Goldman Sachs Alternatives at a $700M valuation (Leo Schwartz/Fortune)
https://fortune.com/2026/02/02/goldman-sachs-fieldguid…
Anthropic rolls out a computer use feature for Claude Cowork and the Claude Code desktop app, in research preview on macOS for Pro and Max subscribers (Blake Stimac/CNET)
https://www.cnet.com/tech/services-and-software/claude-control-your-comput…
A look at Hyundai's Atlas humanoid robot, slated for assembly tasks in 2028; Hyundai has invested billions in robotics since acquiring Boston Dynamics in 2021 (Hyonhee Shin/Bloomberg)
https://www.bloomberg.com/news/articles/20
How AI helped Medvi, a telehealth provider of GLP-1 weight-loss drugs with just two full-time employees, hit $401M in 2025 sales, as it tracks for $1.8B in 2026 (Erin Griffith/New York Times)
https://www.nytimes.com/2026/04/02/technology/ai-billion-dollar-c…
Early data show wages are rising for AI-exposed jobs that place a high value on a "worker's tacit knowledge and experience", as textbook knowledge loses value (J. Scott Davis/Federal Reserve Bank of Dallas)
https://www.dallasfed.org/research/economics/2026/0224
Salesforce announces over 30 new features for Slack, including a meeting transcription feature and an operator mode to complete multi-step tasks on the desktop (Sabrina Ortiz/The Deep View)
https://www.thedeepview.com/articles/slack-adds-ai-meeting-not…
Multiple AWS developers say they are asked to take on new roles with AI tools' assistance, and engineers are now required to complete technical writing tasks (Financial Times)
https://www.ft.com/content/433f41f2-bf6d-4bdf-a561-50ab516bc62d
Poetiq, which leverages existing LLMs to create "expert agents" for specific tasks, and spent just $40K to achieve high ARC-AGI-2 scores, raised a $45.8M seed (Ian Krietzberg/Puck)
https://puck.news/how-poetiqs-six-person-team-beat-google-at-ai/
Anthropic details an experiment on whether AI coding tools shape developer skills, finding that the biggest performance gap appears in debugging tasks (Anthropic)
https://www.anthropic.com/research/AI-assistance-coding-skills
Inside the rise and fall of Sora, whose team worked separately from OpenAI's core research team, as OpenAI shuts down Sora and redirects compute to other tasks (Wall Street Journal)
https://www.wsj.com/tech/ai/the-sudden-fall-of-openais-mo…
Basis, which builds AI agents to help accounting firms with tasks like tax returns, raised $100M led by Accel at a $1.15B valuation, for $138M in total funding (Rebecca Torrence/Bloomberg)
https://www.bloomberg.com/news/articles/20
Moonshot says Kimi K2.5 builds on K2 with "pretraining over ~15T mixed visual and text tokens" and "can self-direct an agent swarm with up to 100 sub-agents" (Kimi)
https://www.kimi.com/blog/kimi-k2-5.html
NY-based Blossom Health, which makes an "AI copilot" to augment psychiatrists' clinical decisions and automate office tasks, raised $20M in seed and Series A (Lily Mae Lazarus/Fortune)
https://fortune.com/2026/03/26/exclusive-blossom-…
Beehiiv now lets creators manage their accounts through AI platforms; the first iteration of Beehiiv MCP supports subscriber analysis and SEO optimization (Sara Fischer/Axios)
https://www.axios.com/2026/03/24/beehiiv-creator-ai-chatbot-mcp
Hands-on with Gemini task automation on mobile: it's super impressive despite being very slow and failing at some tasks; it can order food, book Ubers, and more (Allison Johnson/The Verge)
https://www.theverge.com/tech/898282/gemini-task-automation-uber…
Google rolls out Gemini 3.1 Pro, which it says is "a step forward in core reasoning", for AI Pro and Ultra subscribers; the .1 increment is a first for Google (Abner Li/9to5Google)
https://9to5google.com/2026/02/19/google-announces-gem…
Legal AI startup Ivo, which aims to reduce hallucinations by breaking legal reviews into 400 tasks, raised a $55M Series B, a source says at a $355M valuation (Aditya Soni/Reuters)
https://www.reuters.com/technology/legal-ai-startup…
Google moved some staffers working on Project Mariner, its AI agent that can navigate Chrome and complete tasks on a user's behalf, to higher-priority projects (Maxwell Zeff/Wired)
https://www.wired.com/story/google-shakes-up-project-mariner-team-we…