Shivay Lamba retweeted
Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic.
These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works.
We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next.
openai.com/index/low-resourc…
Shivay Lamba retweeted
How to cut coding-agent costs by ~78.5% using Jev to route between open models
All 32 selected coding tasks passed hidden tests.
Plus: Beam vs Muse Spark across 20 coding tasks - comparing cost, speed, and results 👇
Shivay Lamba retweeted
So cool to see @MLHacks giving out some @arduino UnoQs as part of prizes for their AI hackathon at @AllThingsOpen 🙌 – at Garner, NC
Shivay Lamba retweeted
Glad to be back at @AllThingsOpen after 2022! I am going to present a talk on how to improve security for running agents with @Docker Sandboxes - whether it is a coding agent or a multi agent system
Continuous sensing creates memory bottlenecks on edge devices. Qualcomm & @ramin_m_h, Co-founder and CEO of @LiquidAI are advancing on-device AI with Liquid Context on @Snapdragon — compressing multimodal inputs for fast, low-power execution.
Shivay Lamba retweeted
Don’t forget about #PyTorchCon next week! We’ll be at booth D6 and hosting these events:
🔷 Keynote: MAX and Mojo: The Best Way to Extend @PyTorch — 10/20 @ 9:35 AM PT bit.ly/4yn0R0J
🔷 Demo: Scaling AI Across Devices: ExecuTorch — 10/20 @ 1 PM PT
bit.ly/4yjrAeG
Shivay Lamba retweeted
Muse Spark Open is on Nebius Token Factory from Day 0
It is the most capable US open-weight model to date.
Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.
Try it: tokenfactory.nebius.com/play…
Shivay Lamba retweeted

AI at Meta@AIatMetaOct 15
United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Today we’re releasing Muse Spark Open, the most capable US open-weight model to date.
Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.
Key Model Specs:
→ 816B total / 42B active parameters
→ 1M token context window
→ Natively multimodal across text, image, video, audio
Shivay Lamba retweeted

Google DeepMind@GoogleDeepMindOct 13
United Kingdom
United KingdomConnected via WebAccount-level information, not a live location or per-post device.
Gemini 4 Argon is now globally available.
Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.
Shivay Lamba retweeted

Logan Kilpatrick@OfficialLoganKOct 13
United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
Today we are rolling out Gemini 4 Argon globally in the Gemini API, to Pro + Ultra in Gemini App, and Ultra subs in Antigravity!
Argon is a huge step forward for Gemini, and a labor of love. This model has been battle tested by over 100,000 people at Google over the last month, with so much new innovation, ambition, and hard work baked into this release. The team has been heads down over the last 6 months working to make this possible across the stack (research, infra, safety, eng, etc).
We rolled the model out to cyber defenders as part of our fairwind program and early access customers over the last 2 weeks, it has been amazing to see and talk to folks who are now using this model daily. Seeing the models writing capability, raw knowledge and persistence for coding, paired with new features like 1M token output when the model needs to work more has gotten me even more excited about our path ahead.
This is just the start of the Gemini 4 era. As you saw with 3.5, 3.6, 3.7, and 3.8 Flash, our iteration speed with Gemini is fast : ) Now with Gemini 4 Argon to work from, I am cannot wait to see the progress continue, and most importantly see what this new model enables for the world.
This is such a special moment in the arc of technology, as millions of people everyday tackle problems they could never have thought possible before. Gemini 4 Argon was built to help you tackle the hardest problems. I have personally felt this spark with Argon and hope you do too. Onwards!!
Shivay Lamba retweeted
The problem with “YOLO mode” is that an agent can act with your access. A worktree won’t isolate your SSH keys, cloud credentials, or the rest of your disk.
Jozu Agent Guard puts the agent in a microVM, applies tool-call policies, limits network access, and keeps an audit trail.
I made this video with Opus 5.5 to show how the guardrails work 👇
Shivay Lamba retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
Shivay Lamba retweeted
There’s a long stretch between your app calling an API and your model running on the Hexagon NPU. But what actually happens?
Find out here: bit.ly/47yOJPi
Then, join our event to fine-tune those LLMs on Amazon SageMaker and run them on-device: bit.ly/4hWs9VS
Shivay Lamba retweeted
Power of Local AI 😍 Running a custom Smart Mirror Demo application with @arduino Ventuno Q powered by a @Alibaba_Qwen 2.5 VL 7B model to describe what you wear, @googlegemma EmbeddingGemma 2 model for multi-modal vector search to find similar dresses, PiperTTS all targeting the @Qualcomm_Dev NPU on the Ventuno Q at IMC 2026.
Stand in front of the mirror - and get recommendations on how to improve your outfit and get recommendations on other clothing options you can try all offline.
Shivay Lamba retweeted
Grok Bot now has its own email.
Bot can use it to sign up for services, contact businesses for you, or schedule time with someone.
Shivay Lamba retweeted
launched a model
accidentally served trillions of tokens a day
29.4% of the fortune 500 showed up
raised a really big series A from @a16z
it's been 3 weeks
we would like to sleep now


























