Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
https://t.co/Ghebq5mG30
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
fwiw in my limited runs (half dozen big sessions on Fable, dozen on 5.6 Sol) I think Fable was the better model from an outputs pov
I still won't use it as the cost/speed tradeoff doesnt make sense, and thats the same calculus of any model i use
if you cant produce code that I can trust will be maintainable, I still have to manage the outputs enough that the latency hit isnt worth it, and the outputs werent so much better than its net cheaper to achieve a task
like its cool that you can one-shot some silly prior art but that is not how software gets created in the real world
Sol is better but I still dont think any of these are at a point where the cost can be justified if you pay out of pocket
there is no better time in tech than now to be a jack of all trades, master of a few.
just make sure to keep adding to the few year over year, such that the cumulative breadth of expertise you collect becomes an increasingly rare combo. remember, if you're top 10% in 3 different areas, that already makes you top 0.1%. keep switching it up until you get to "your best", and then switch it up again (great for a particular flavor of people who don't enjoy resting on laurels, maybe not so great for others).
question all institutional value and pedigrees, all traditional career paths or corporate ladders: the college industrial complex is getting shaken up, alongside a disappearing managerial class, so if you're pursuing either make sure you are fully internally aligned with why. social/political capital in a particular institution can feel incredible, but if you're spending all your energy on complex political people games, you're not a technologist anymore, you're an unelected politician. if you're ok with that, then all's well.
critical thinking is more important than ever: take nothing at face-value, question everything and everyone. the equivalent of ai slop can be found in humans operating under misaligned incentives and interests. the sooner you're clued into disambiguating the talkers/larpers from the doers, the better off you'll be figuring out where and who to invest your time in.
the anxiety of job displacement is very real, since a surprising amount of white collar work/prestige is built on a performative house of cards, significantly lacking in correlation with technical breadth, depth, and skill. as long as you keep learning, keep building, keep producing receipts, you will be fine.
if all that sounds ok to you, welcome to the world of technology! it's truly one of the few places you can experience child-like wonder every few years, and be constantly humbled & excited by new adventures, as scary as they may seem at first.
don't give up, drink your water, get your sunlight, and take breaks as needed. tech careers are notoriously nonlinear, so you might as well embrace it and enjoy the ride!
Lately, I've been thinking a good deal about designing APIs and abstractions. @jlongster linked me to this, which is quite good and is now, I'm afraid, part of your assigned reading.
https://t.co/dvv4N82qPY
🚨 How the TanStack npm attack actually happened:
1. Attacker opened a normal-looking pull request (#7378) on the TanStack repo.
2. GitHub automatically ran CI tests on that PR.
3. Code inside the PR stole the workflow's GitHub Actions Cache write token during the test run.
4. The attacker used that token to plant poisoned files in the shared build cache. The PR could be closed afterwards. The poisoned cache stays.
5. The official release workflow later pulled from the cache, baked the malicious files into the build, and signed and published 84 malicious package versions to npm.
the most low-effort / high reward thing you can do for security is installing the Russian language pack
(not even joking, it's ridiculous how often that prevents execution)
I'm so excited to announce a new terminal emulator! 🎉
Meet "Ratty"🐀
🧀 A GPU-rendered terminal emulator with inline 3D graphics.
🪤 Try it out: https://t.co/AUlPT6A5Bl
⭐ Source: https://t.co/TnsLmEdExE
#rustlang#terminal#ratty#ratatui#opensource
A man with no working truck convinced Wall Street he had built the next Tesla. His company hit $30 BILLION. All he did was push it down a hill with no engine.
> Trevor Milton founded Nikola in 2014, named after the same inventor as Tesla.
> The goal was to build hydrogen powered trucks that would make diesel obsolete. He had no trucks.
> In 2018 he released a promotional video called Nikola One In Motion. It showed a sleek semi truck accelerating smoothly down an open highway.
Investors went wild.
> What nobody knew was that the truck had no engine, no fuel cell, and no propulsion system of any kind.
> Milton's team towed it to the top of a hill, tilted the camera to hide the slope, and let it roll.
> He spent the next four years doing the same thing with words. On podcasts, television and social media.
> Investors were told Nikola could produce its own hydrogen. It could not. They were told the trucks were ready for production. They were not. They were told orders were flooding in. They weren't.
> In June 2020 Nikola went public. Within days the company was worth $30 BILLION, more than Ford.
> Milton's personal stake hit $7.3 BILLION overnight.
> A $32.5 MILLION ranch in Utah followed. A record for the state at the time.
> In September 2020 Hindenburg Research published a report calling Nikola "an intricate fraud" built on "an ocean of lies." Milton resigned within ten days.
> A federal jury convicted him of securities fraud and wire fraud in 2022. Sentenced to four years in prison the following year.
> He never went. He was free on $100 MILLION bail pending appeal.
> He and his wife donated $3.2 MILLION to Donald Trump's 2024 campaign.
> In March 2025 Trump gave him a full pardon. The pardon erased $168 MILLION in restitution to defrauded shareholders.
> Nikola filed for bankruptcy the following month, leaving thousands of investors with nothing.
The company never had a product. The only thing that was real was the $30 BILLION valuation, the $7 BILLION that landed in his pocket and the pardon that made sure none of it had to be returned.
Love this post by @antirez on developing Redis Array support. Its a great showcase of thoughtful AI usage and how AI can empower even the best developers while still producing high quality work. https://t.co/xc5KhcHb2P
Introducing Flue — The First Agent Harness Framework
Flue is a TypeScript framework for building the next generation of agents, designed around a built-in agent harness.
Flue is like Claude Code, but 100% headless and programmable. There's no baked in assumption like requiring a human operator to function. No TUI. No GUI. Just TypeScript.
But using Flue feels like using Claude Code. The agents you build act autonomously to solve problems and complete tasks. They require very little code to run. Most of the "logic" lives in Markdown: skills and context and AGENTS.md.
Flue is like Astro or Next.js for agents (not surprising, given my background 🙃). It's not another AI SDK. It's a proper runtime-agnostic framework. Write once, build, and deploy your agents anywhere (Node.js, Cloudflare, GitHub Actions, GitLab CI/CD, etc).
We originally built Flue to power AI workflows inside of the Astro GitHub repo. But then @_bgiori got his hands on it, and we realized that every agent needs a framework like Flue, not just us.
Check it out! It's early, but I'm curious to hear what people think. Are agents ready for their library -> framework moment?
Agents make ugly UIs because they've never seen good design.
We've been fixing that, 2,000 DESIGN.md files from the world's best products, structured for a model to read and learn. Colors, type, spacing, layouts and more.
Free. https://t.co/mJaKNHba0O
Someone made a Geoguessr clone where you can travel through time 🤯
Cool use case of GPT-Image-2, which can make panoramas.
The creator batch generated them and then used Codex to make an app where you guess the map location + time.
(from u/Proof-Square7528)
Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see.
@eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)