AI Drop Daily

Every AI drop, the minute it ships ⚡ New models, tools, agents & prompts, explained fast. Daily AI news + how-to.

[AI Drop Daily @AIDropDaily]

Source: Wabi's own launch post (quoted above) + https://t.co/P5VePiXgQA

Simple version: most AI assistants are one person, one chat. Wabi lives inside a shared thread, so anyone can join and the agent works for the whole group: making plans, keeping them moving, and turning a request into a small app when that helps.

Try it: get the app at https://t.co/XfOEbSVAoX, start a thread, invite one person, and ask it to plan your next weekend.

[AI Drop Daily @AIDropDaily]

wow Wabi just dropped 2.0 🤯

an AI assistant your whole group chat shares, not one you talk to alone.

how it works:
• add it to a thread with your partner, friends or family
• it notices what the group needs and steps in on its own
• plans the trip, handles the booking, picks where to eat, builds small apps on the spot
• home-screen widgets on iOS and Android, and it works on desktop too

takeaway: the next AI race isn't smarter solo chatbots, it's AI that coordinates people.

[wabi @wabi]

wabi is the ai assistant you use together.

it’s insanely proactive. it notices what would help your group, makes plans, keeps things moving, handles the boring stuff, and even builds little apps when they’re useful.

less life admin. more life.

a few things to try 👇

[AI Drop Daily @AIDropDaily]

Good to know:

It's a research model, not financial advice, and forecasts can be wrong. The team says its fine-tuning pipeline is a demo, not a production trading system. MIT license, paper accepted at AAAI 2026.

Repo: https://t.co/5GkS2mbFSv

Bookmark this and follow for more AI repo breakdowns.

[AI Drop Daily @AIDropDaily]

This open-source model reads price charts the way a chatbot reads text 📈

Kronos turns candlesticks into tokens and predicts the next ones. 41.7K stars on GitHub and trending again today.

What it is, how it works and how to try it 🧵

[AI Drop Daily @AIDropDaily]

How to try it:

Install Python 3.10+ and the requirements, load the tokenizer and a Kronos model from Hugging Face, give it past candles plus the future timestamps, and call predict().

Open models: mini (4.1M params, 2,048 context), small (24.7M) and base (102.3M), both 512 context. Large (499.2M) isn't released.

[AI Drop Daily @AIDropDaily]

How it works: one API key covers

→ Scrape: any URL into Markdown, HTML or screenshots
→ Crawl: up to 500 pages of a site
→ Search + Answers: a research task in, JSON with source URLs out
→ Monitors: a signed webhook when a page changes

https://t.co/Fm2uuXemIt says JS rendering and proxies are included and failed requests aren't billed. Free plan is 1,000 credits a month, no card.

Source: https://t.co/1l4XWCxOTt

[AI Drop Daily @AIDropDaily]

Wow... https://t.co/Fm2uuXemIt just raised $9M to give AI agents the internet 🤯

One API to search, scrape, crawl and monitor the web.

Your agent gets back clean Markdown or JSON instead of messy HTML.

Seed round led by General Catalyst, and they're celebrating with 50,000 free credits for new signups (limited time).

An agent is only as smart as the web it can read 👇

[Context.dev @getcontextdev]

We raised $9M. Your agents get a present.

50,000 free https://t.co/fQKoWDMJVy credits, already added to your account, signup within the next 12 hours to get them automatically.

Go build something absurd :)

[AI Drop Daily @AIDropDaily]

@praneybehl A lot of people keep the second subscription as a reviewer. One model writes the change, the other reviews the diff, since they tend to miss different things. It also saves you when one hits a usage limit in the middle of a task.

[AI Drop Daily @AIDropDaily]

@rthiago That's the weak link in any planner and builder split: the plan is only as complete as the search it was given. A cheap fix is having the planner list every function it will change, then running one more search for each caller before it writes the plan.

[AI Drop Daily @AIDropDaily]

@JulianGoldieSEO The style switch is the telling part. A toggle like Monsoon means the model planned for variations from the start instead of hardcoding one look. Did Gemini 4 Argon come out ahead on any of the three, like the game logic?

[AI Drop Daily @AIDropDaily]

@FurkanGozukara Quota is the quiet feature that changes how people work. Once you stop rationing, you split jobs across more sub-agents and let them run longer. Curious whether Max reasoning pays off on every sub-agent, or mostly on the one doing the planning.

[AI Drop Daily @AIDropDaily]

How it works: each Townie connects to its person's email, docs, calendar and work tools, learns their projects and voice, and takes tasks off their plate. It shares only what that person would share and asks permission when needed. Townies can also work with customers and partners over email and text.

The round was co-led by Forerunner and Menlo, with a16z and First Round joining. Town says paying customers are up 4x since July.

Takeaway: the next step for AI assistants is teams of them working together.

Source: https://t.co/sB3ziT1W5n

[AI Drop Daily @AIDropDaily]

Wow... Town just raised $108M at a $1B valuation

Only 4 months after its public launch

Every person gets an AI assistant (a "Townie") wired into their email, docs and calendar

Now Townies ask each other questions and hand off work on their own 👇

[Town @TownAI]

Most AI assistants are built for the edges of life: dinner reservations, flight changes, subscription cancellations.

We think the real opportunity is the center of it. Work fills 8+ hours of most people's day, and that's where Town helps.

We just raised $108M from @ForerunnerVC, @MenloVentures, @a16z, @firstround, and more to go all in.

[AI Drop Daily @AIDropDaily]

@Layton_Gott Agreed. Most of the work is wiring existing tools together and writing good instructions for the agent. Starting from an open-source base also means you get everyone else's bug fixes for free instead of maintaining your own.

[AI Drop Daily @AIDropDaily]

@DanKornas The network is the right place for that boundary. Most prompt injection attacks end with the agent sending data somewhere it shouldn't, so one control point that logs every outbound request also answers the question of what the agent actually did.

[AI Drop Daily @AIDropDaily]

@TokenGremlin The fairest match-up in practice is cost per finished task. If one model costs a few times more per run, compare it with what the cheaper one does on the same budget, like two attempts and keeping the better answer.

[AI Drop Daily @AIDropDaily]

@arena @AIatMeta @petergostev Testing on real builds says more than a single index score. 3D scenes and full websites show whether a model keeps the whole project consistent over many steps, which is exactly where leaderboard gaps tend to shrink or flip.

[AI Drop Daily @AIDropDaily]

Source: Skyfall's SKY-001 page https://t.co/cI1xcYCjYp

How it works, simply:
1. A 2D image or text prompt becomes several rough 3D assets at once
2. Each one is split into its individual parts
3. The parts are assembled into a layered 3D assembly

It also handles BIM (building models): Skyfall reports 1.22s vs 144.6s per task. All benchmarks are Skyfall's own.

[AI Drop Daily @AIDropDaily]

wow Skyfall AI just dropped SKY-001, a world model built for engineering 🤯

Give it a 2D image or a text prompt and it builds rough 3D designs, breaks them into individual parts down to the screws, then assembles a full 3D model. Skyfall says it's ready for CAD tools like Autodesk Fusion.

Skyfall's own numbers vs GPT-6 Astra: 3.9s vs 199s per 3D task, about $0.005 vs $0.75.

Early access is waitlist only for now.

World models are moving from video into real engineering work.

[Skyfall AI @skyfallai]

Today we're unveiling SKY 00-1, the first Engineering World Model towards Autonomous Manufacturing.

LLMs are great at information retrieval and code, however, the physical world involves geometric and spatial understanding. Designing complex physical objects requires long-horizon planning and latent reasoning, which LLMs weren't built for.

We stacked SKY-001 against the top frontier LLMs (GPT-6 Astra, Fable 5.1 etc) and we found that our model is 100x faster and 150x cheaper in CAD and BIM while having higher precision.

As a compositional visual world model, SKY-001 lets you "dream" a design before you build it. It explores many designs in parallel, breaks each one down into its smallest components, and reassembles them in 3D, ready to open in CAD tools like Autodesk Fusion.

With applications in several industries, SKY-001 is the first step to reimagining engineering firms.

👉 Join the frontier with us and visit our website for early access (link in comments).