Building @IzwiAI - Private Voice AI Runtime
Harare, Zimbabwe
Joined July 2009
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Izwi 0.1.0 is stable.
Open-source voice AI that runs entirely on your computer. Talk to it in real time, clone and design voices, narrate audiobooks, and transcribe meetings speaker by speaker.
Give it a โญ๏ธ github.com/izwi-ai/izwi
Download: izwiai.com
Liquid AI LFM3 models are now supported in IzwiAI ๐
Download the desktop application and start playing with LFM3-Audio-2B and LFM3-1.7B.
Thanks to the @liquidai team for such great models.
Give us a โญ๏ธ on GitHub - github.com/izwi-ai/izwi
Download - izwiai.com/download
Introducing ๐ป๐ต๐ผ๐น: 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.
> ๐ป๐ต๐ผ๐น-๐ท.๐ฝ๐ฑ: text, 256k context window.
> ๐ป๐ต๐ผ๐น-๐
๐ป-๐ธ๐ฑ: vision-language model with video-input support for spatial understanding
> ๐ป๐ต๐ผ๐น-๐ฐ๐๐๐๐-๐ธ๐ฑ: tool calls, voice chat, reasoning in 18 languages.
> ๐ป๐ต๐ผ๐น-๐พ๐๐๐-๐ธ๐ฑ: an omni model combines vision, audio, and language.
> ๐๐ท-๐ธ๐ฑ and ๐๐ท-๐พ๐๐๐-๐ธ๐ฑ: 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.
> ๐ป๐ต๐ผ๐น-๐
๐ป-๐ธ๐ฑ 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.
> ๐ป๐ต๐ผ๐น-๐ท.๐ฝ๐ฑ is #1 on the Pareto frontier of device intelligence ๐๐๐๐๐๐๐.๐๐๐๐๐๐.๐๐
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ ๐งต
Lennex Zinyando retweeted
New from ElevenLabs research: Today weโre sharing more about Cue, our new forced alignment model. It places every character on the audio timeline with more precision than any other aligner we tested. That means the right words show up at the right time.
Forced alignment is the step that turns a transcript into timestamps. Itโs how subtitles land on time, how dubbed lines match the speaker, and how clicking a word in a transcript jumps to the moment it was said. Most open-source aligners are built for short, clean clips in a limited set of languages. Cue is one model that handles recordings of any length in a single pass. On real-world audio, it was more accurate than every open-source aligner we tested in all 29 languages of our benchmark. It aligns an hour of audio in about half a second on one GPU.
Cue already powers every Speech to Text transcription on ElevenLabs, and itโs available on its own through the Forced Alignment API.
Read the full post: elevenlabs.io/blog/cue-alignโฆ
Maya-1 and Maya-2 support is officially on @IzwiAI.
The frontier voice models for India are now available on your desktop.
Download and give us a โญ๏ธ:
github.com/izwi-ai/izwi
izwiai.com/download
Maya-2 voice model weights are officially live! ๐ฎ๐ณ๐ฎ๐ณ
The frontier voice model for India is now completely open-weight.
โข Outperforms ElevenLabs v3, Sarvam Bulbul v3, and Cartesia Sonic 3.5
โข 1.5B+ people covered across all 28 states and 8 union territories
โข SOTA voice synthesis across 11 official languages
โข 20 native speakers pre-loaded, ready out of the box
โข Best-in-class zero-shot voice cloning
Built by a team of five from the land of languages.
Go build and have fun!
Thanks @Dheemanthredy and @mayaresearch_ai for the great work and for releasing the models as open-weight.
Are we moving from 5.5 Opus to Carbon now or the model is benchmaxxed??
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which weโre pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
Weโre seeing significant improvements in long-horizon tasks even compared to Argon, and weโve strengthened frontier safeguards.
As we did with Argon, weโre going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
Lennex Zinyando retweeted
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which weโre pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
Weโre seeing significant improvements in long-horizon tasks even compared to Argon, and weโve strengthened frontier safeguards.
As we did with Argon, weโre going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
Lennex Zinyando retweeted
Meet NVIDIA Nemotron 3.5 Transcribe ๐๏ธ
An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint.
Watch it keep track of who said what when everyoneโs talking at once.
1/ ๐งต
Lennex Zinyando retweeted
lot of people making stuff up so here's some more context
you can imagine there's hidden enterprise demand for open source models that isn't visible
but if you look at the top inference providers that aggressively go after this business, they have shared some numbers and they are all roughly the same size as us. and at best there's 5 of them
if you think enterprises are self hosting inference on their own GPUs, there are so few people who can run reliable inference and they get paid a lot and work at ai labs. and if they really want sovereignty they're not getting that by leasing GPUs from a third party
the root point here is this is entirely the wrong way to look at things, you just have to look at products
how many products exist with a lot of traction that can use open models? this is what creates demand, it's not some magic thing that grows on its own
OpenCode is one of those and we do see a lot of enterprise inbound. but it's so early, all of these companies are just starting to look at mixing in some OSS inference
so yes demand will probably go up in the future but everyone in this industry is investing resources in preparing for that future. and so few people are building the products that will make it happen
This is worth checking out. GLM-5.3 Flash is a great model!!!
300M free GLM-5.3-Flash tokens on ZCode. Every day.
Claim from 11:00 UTC. Use 15:00 โ 01:00 UTC.
Update to the latest ZCode, claim in-app, then switch to Global Building and pick GLM-5.3-Flash.
zcode.z.ai
Lennex Zinyando retweeted
Introducing ๐ป๐ต๐ผ๐น: 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.
> ๐ป๐ต๐ผ๐น-๐ท.๐ฝ๐ฑ: text, 256k context window.
> ๐ป๐ต๐ผ๐น-๐
๐ป-๐ธ๐ฑ: vision-language model with video-input support for spatial understanding
> ๐ป๐ต๐ผ๐น-๐ฐ๐๐๐๐-๐ธ๐ฑ: tool calls, voice chat, reasoning in 18 languages.
> ๐ป๐ต๐ผ๐น-๐พ๐๐๐-๐ธ๐ฑ: an omni model combines vision, audio, and language.
> ๐๐ท-๐ธ๐ฑ and ๐๐ท-๐พ๐๐๐-๐ธ๐ฑ: 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.
> ๐ป๐ต๐ผ๐น-๐
๐ป-๐ธ๐ฑ 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.
> ๐ป๐ต๐ผ๐น-๐ท.๐ฝ๐ฑ is #1 on the Pareto frontier of device intelligence ๐๐๐๐๐๐๐.๐๐๐๐๐๐.๐๐
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ ๐งต
Lennex Zinyando retweeted
Today we're coming out of stealth, introducing Neywa Labs ๐
We built the infrastructure to build and deploy AI that runs on the devices people already own. Private, offline, unlimited.
One mission: make AI available to everyone in the world.
neywalabs.ai/
Lennex Zinyando retweeted
Maya-2 voice model weights are officially live! ๐ฎ๐ณ๐ฎ๐ณ
The frontier voice model for India is now completely open-weight.
โข Outperforms ElevenLabs v3, Sarvam Bulbul v3, and Cartesia Sonic 3.5
โข 1.5B+ people covered across all 28 states and 8 union territories
โข SOTA voice synthesis across 11 official languages
โข 20 native speakers pre-loaded, ready out of the box
โข Best-in-class zero-shot voice cloning
Built by a team of five from the land of languages.
Go build and have fun!
Lennex Zinyando retweeted
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more: anthropic.com/news/s1-sec
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
Lennex Zinyando retweeted
Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published
@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.
Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.
Key results:
โค Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.
โค Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.
โค Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.
Additional model details:
โค Context window: 1M tokens.
โค Size: 2.8T total, 104B active parameters
โค Input modalities: Text and image
โค Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch
โค Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.
Congratulations to the team at @Kimi_Moonshot on the release!
Lennex Zinyando retweeted
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
๐น 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
๐น Full-project coding: games in Unreal, Unity & Godot.
๐น Excels at parametric 3D modeling in Blender & CAD.
๐น More reliable at finance work: Accurate modeling with hallucination down by 65%.
๐น Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2โ3ร faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
๐ API: platform.kimi.ai
๐ Tech blog: kimi.ai/blog/kimi-k3-1-pro
Lennex Zinyando retweeted
Izwi 0.1.0 is stable.
Open-source voice AI that runs entirely on your computer. Talk to it in real time, clone and design voices, narrate audiobooks, and transcribe meetings speaker by speaker.
Give it a โญ๏ธ github.com/izwi-ai/izwi
Download: izwiai.com
Lennex Zinyando retweeted
๐ Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. Weโre sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
๐ github.com/deepseek-ai/DeepIโฆ
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Lennex Zinyando retweeted
I wanted one Mac window on my iPad, not my whole desktop, so I built Porthole.
Pick a window and it streams over your WiโFi at up to 120fps. Use it like an iPad app: tap to click, drag to scroll, pinch to zoom. Works on iPhone and Android too.
github.com/iamngoni/porthole
Lennex Zinyando retweeted
๐ DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous versionโa Pareto improvement in performance and cost. Now live on our website, app, and API.
๐ ๏ธ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
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