kosovan retweeted
Most AI tools tell you HOW to get work done.
But you're still the one jumping between tabs, sorting files, and writing follow-ups.
Eney takes a different approach: an AI assistant for Mac designed to DO the tasks.
Here are 7 everyday workflows worth seeing. π§΅
kosovan retweeted
LFM3 is here! this is an insanely elaborate release, get yourself a coffee βοΈ spend a few hours going through the blog where we tell you everything about it.
The amount of useful intelligence you can pack inside 2B parameters is really insane!
the highlights for me:
> LFM3 architecture got out of our propriety automated hardware in the loop architecture search algorithm optimized for 14 different types of processors. This is exactly the vision we embarked on: building an intelligence fabric on the fragmented device world.
> LFM3-VL-2B is truly a beast performing on par with GPT 5.6 Luna and Gemini flash ultra! at 2B parameters, wtf!!
> It is sooo easy and chip to fine-tune LFM3 instances. you can now truly build specialized intelligence for anything.
> LFM3 is enjoyably fast to train, and deploy.
> LFM3 omni 2B packs all modalities in one model enabling reliable spacial intelligence on device!
> It is now the era of products. lets build together π«π
Introducing π»π΅πΌπΉ: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> π»π΅πΌπΉ-π·.π½π±: text, 256k context window.
> π»π΅πΌπΉ-π
π»-πΈπ±: vision-language model with video-input support for spatial understanding
> π»π΅πΌπΉ-π°ππππ-πΈπ±: tool calls, voice chat, reasoning in 18 languages.
> π»π΅πΌπΉ-πΎπππ-πΈπ±: an omni model combines vision, audio, and language.
> ππ·-πΈπ± and ππ·-πΎπππ-πΈπ±: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> π»π΅πΌπΉ-π
π»-πΈπ± is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> π»π΅πΌπΉ-π·.π½π± is #1 on the Pareto frontier of device intelligence πππππππ.ππππππ.ππ
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ π§΅
kosovan retweeted
The world must stop pretending russia is anything but a terrorist state.
1,600 guided aerial bombs dropped on Ukraine in a single week. Around 230 a day.
Why is russia allowed to get away with this? When did this become normal in the so-called civilized world?
kosovan retweeted
One-year-old Angelina, born in August 2025, died right in her stroller. Her mother, Inna, passed away in the hospital.
What were they guilty of? Why does the US President support this russian evil?
kosovan retweeted
Russians have just murdered a baby and two women that were walking in a public park in Kharkiv.
This is the face of genocide in the 21st century.
Now, under U.S. protection, Russia is inflicting massacres at the highest level of the war, all across Ukraine.
kosovan retweeted
Meet Eney by @MacPaw, a proactive AI assistant for Mac and iPhone.
It flags what actually needs you: the unanswered email, the call you havenβt prepped for, the Downloads folder nobody wants to open. Then it gets the next step ready.
Start with a ready-to-use workflow, or just say what you need.
Skip to done with Eney β macpaw.onelink.me/OlF7/x_orgβ¦
kosovan retweeted
Great minds think alike. We just had a head start.
And now, @eneybymacpawβs preview is open β free, with 20,000 credits included. Our only ask: tell us the truth. What works, what doesn't, and what you wish it did.
Feedback goes straight into the app (Settings β Feedback) or our Discord.
Join in β bit.ly/4hjMrYK
kosovan retweeted
MacPaw is hosting an evening at Boston AI Week: Oct 1, Cambridge, MA.
4:30 β panel with Liquid AI: Where Does Research End and Production Begin?
5:30 β talk: It's 1952 Again β The Missing Compiler for AI Pipelines
6:15 β mixer πΏ
π 10 Canal Park, Suite 201, Cambridge, MA
Registration links π
π€ partiful.com/e/j998GjHiZg2dSβ¦
π€ partiful.com/e/opyw9DpUqapGSβ¦
kosovan retweeted
Your AI assistant remembers you - preferences, projects, years of context. All of it locked inside one vendor's database, in a shape nobody else can read.
We think memory belongs to the user. So we built Portable Memory: an open, vendor-neutral format for AI memory π§΅
kosovan retweeted
Congratulations to @moonlock_com πͺ
Moonlock by MacPaw just won a Red Dot Award 2026 in the Interface & User Experience Design category.
Great design makes even complex things feel simple, and we're happy to see that approach recognized.
From day one, we designed Moonlock to make Mac protection clear, approachable, and easy to use. An intuitive interface, plain-spoken copy, thoughtful interactions, and hand-drawn illustrations all work together to make cybersecurity feel more human.
Good design isn't just about how a product looks. It's about how easily people understand it, trust it, and make it part of their everyday lives.
Weβre incredibly proud of the team behind Moonlock β and happy to see their work recognized by Red Dot β€οΈ
kosovan retweeted
Our AI&Research team ran its own summer school β 35 people, 16 speakers (90% in-house), 3 tracks, one week offline.
We also welcomed two external speakers: @maximelabonne, Head of Post-Training at @liquidai, our model partner, on how Liquid designs edge models, and Solomiia Leno, Senior Data Scientist at @SoftServeInc, on LLM interpretability.
kosovan retweeted
Today we release LFM2.5-2.6B, an agentic model that runs entirely on-device. It plans, calls tools, and works through multi-step tasks on phones, laptops, PCs, and robots. Data never leaves the device, and the marginal cost of each run is essentially zero.
> Pre-trained on ~34T tokens
> LFM2.5 flagship hybrid architecture
> Context length: 128K
> Vocab size: 128K
> balanced intelligence per watt
> customizable on a single GPU for any specialized task
> LFM2 open-weight license
Comparable or better scores compared to models up to nearly 4x its size:
> ToolSandbox 77.83, ahead of Qwen3.5-9B at 76.44
> Multi-IF 80.07, ahead of Gemma-4-E4B-it at 77.35
> IFStruct 85.49, ahead of Qwen3.5-9B at 78.50
π§΅
kosovan retweeted
The humans are busy prepping for MacPaw's 18th birthday. So we took over. It was surprisingly easy.
Today's agenda: inspections, naps, and ignoring requests. Follow along πΎ
β Hoover & Fixel
kosovan retweeted
AI shouldn't stop at answering. It should help work move forward. That's why we've made Eney more proactive and more connected.
Eney is a proactive AI assistant for modern work. It connects to your tools, surfaces what needs your attention, and helps complete tasks.
kosovan retweeted
Eney is a proactive AI assistant for modern work β and you definitely should try it!
Explore Eney β bit.ly/eneylaunch
kosovan retweeted
Most AI transformations fail before adoption even begins. MacPaw paused 500+ people for two weeks to fix that β and the biggest wins came from legal, HR, and content, not engineering.
MacPaw CEO Oleksandr Kosovan wrote the full breakdown in Entrepreneur β entrepreneur.com/building-a-β¦
kosovan retweeted
Congrats to @moonlock_com on this milestone! β€οΈ
Moonlock by MacPaw has been named a @TheWebbyAwards Honoree in Apps, Software & Immersive / Services & Utilities.
Being a Webby Honoree means ranking in the top 25% of all entries β and with 13,000+ submissions this year, that means a lot.
Proud of the team building Mac security that feels powerful, simple, and human.
#webbys
kosovan retweeted
We introduce Gliner2 adaptation for Swift - a native implementation of GLiNER2 for schema-based information extraction, enabling zero-shot NER and structured prediction directly on Apple platforms. The project focuses on on-device inference, Apple Silicon optimization, and seamless integration into macOS/iOS apps without Python or external runtimes.
Tech note:
research.macpaw.com/publicatβ¦
Github:
github.com/MacPaw/Gliner2Swiβ¦
