Hemanth Prasad

iOS developer, technology enthusiast, Cyber Security and trying to figure out others.

[Ryo Lu @ryolu_]

the crazy thing about Cursor mobile
is @rikcreation coded most of the real thing with Cursor, as a “designer”

titles don’t mean shit.
you can just build.

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[Genesis AI @gs_ai_]

We are back. After one year of quiet building.

Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.

For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.

Solving it means rethinking the whole stack from the ground up:

- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.

GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.

Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)

We are approaching the endgame for robotics.

And this is just a beginning.

[Anthropic @AnthropicAI]

New Anthropic research: Emotion concepts and their function in a large language model.

All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.

[Zhikai Zhang @Zhikai273]

🎾Introducing LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

Dynamic movements, agile whole-body coordination, and rapid reactions. A step toward athletic humanoid sports skills.

Project: https://t.co/MFy2NIOsrn
Code: https://t.co/A7B5H8PIBh

[Noah Zweben @noahzweben]

Remote Control - Session Spawning:
Run claude remote-control and then spawn a NEW local session in the mobile app.

* Out to Max, Team, and Enterprise (>=2.1.74)
*Have GH set up on mobile (relaxing soon)
* Working on speeding up session start-time

[Michał Podlewski @trajektoriePL]

Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco.
A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that.

The project is called https://t.co/wAliajqjVF. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office.

Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place.

Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.

[Pika @pika_labs]

Introducing Pika AI Selves: AI you birth, raise, and set loose to be a living extension of you. They’re rich, multi-faceted beings with persistent memory, and maybe even a peanut allergy. It’s up to you!

Have them send pictures to your group chat. Make a video game about your fish. Call your mom while you do anything but call your mom. The possibilities are as myriad as the stars ✨

Get on the list to give birth to yours at pika dot me

[dax @thdxr]

everyone's talking about their teams like they were at the peak of efficiency and bottlenecked by ability to produce code

here's what things actually look like

- your org rarely has good ideas. ideas being expensive to implement was actually helping

- majority of workers have no reason to be super motivated, they want to do their 9-5 and get back to their life

- they're not using AI to be 10x more effective they're using it to churn out their tasks with less energy spend

- the 2 people on your team that actually tried are now flattened by the slop code everyone is producing, they will quit soon

- even when you produce work faster you're still bottlenecked by bureaucracy and the dozen other realities of shipping something real

- your CFO is like what do you mean each engineer now costs $2000 extra per month in LLM bills

[Cloudflare @Cloudflare]

Time to consider not just human visitors, but to treat agents as first-class citizens. Cloudflare’s network now supports real-time content conversion to Markdown at the source using content negotiation headers.
https://t.co/B7wYH4PtA8

[Anthropic @AnthropicAI]

New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel.

Here's what it taught us about the future of autonomous software development.

Read more: https://t.co/htX0wl4wIf

[Google @Google]

It once took 13 years and $3 billion to sequence the human genome.

Now, we're using Google’s AI tools to sequence animal genomes in just days to help save endangered species 🧬 (1/3) ↓

[Logan Graham @logangraham]

Our view is that in 2026 we're crossing a threshold where self-improving, cyberphysical systems are possible for the first time.

This year, the Frontier Red Team will build and test those systems so we can understand them. And ultimately to defend against them.

[Qwen @Alibaba_Qwen]

Qwen3-TTS is officially live. We’ve open-sourced the full family—VoiceDesign, CustomVoice, and Base—bringing high quality to the open community.

- 5 models (0.6B & 1.8B)
- Free-form voice design & cloning
- Support for 10 languages
- SOTA 12Hz tokenizer for high compression
- Full fine-tuning support
- SOTA performance

We believe this is arguably the most disruptive release in open-source TTS yet. Go ahead, break it and build something cool. 🚀 Everything is out now—weights, code, and paper. Enjoy. 🧵

Github: https://t.co/X4CNGRpBAG
Hugging Face: https://t.co/QzshIqzYDU
ModelScope: https://t.co/XaWVuDerZ6
Blog: https://t.co/xPER3lyeb5
Paper: https://t.co/9mi5dFyJza
Hugging Face Demo: https://t.co/cL7AyaMDwM
ModelScope Demo: https://t.co/MYpIeYdYN5
API: https://t.co/lIEikdB6uM

[ModelScope @ModelScope2022]

🚀 Meet STEP3-VL-10B—it delivers SOTA-level visual perception, complex reasoning, and human-aligned intelligence—redefining efficiency in open multimodal AI.

✅ Beats or matches models 10–20× larger (like GLM-4.6V, Qwen3-VL, even Gemini 2.5 Pro)
✅ Achieves SOTA on MMMU, MathVision, OCRBench, ScreenSpot, and more
✅ Trained on 1.2T tokens + 1,400+ RL rounds (RLHF + RLVR)
✅ Supports PaCoRe: parallel collaborative reasoning (128K context!)

Despite its compact size, it leads the <10B class in:
• STEM reasoning (94.43% on AIME 2025 w/ PaCoRe!)
• Visual perception (92.05 on MMBench)
• GUI understanding & OCR
• Spatial reasoning for embodied AI

Built with:
• PE-lang visual encoder (1.8B)
• Qwen3-8B decoder
• Multi-crop high-res input (728×728 global + locals)

📥 Base & Chat versions on ModelScope:
Base: https://t.co/j04L5EOF9w
Chat: https://t.co/RUQ0IOOC1e

[Arc Institute @arcinstitute]

Predicting cell state in previously unseen conditions such as disease or in response to a drug has typically required retraining for each new biological context. Today, Arc is releasing Stack, a foundation model that learns to simulate cell state under novel conditions directly at inference time, no fine-tuning required.

[David Scott Patterson @davidpattersonx]

Some people say it will take years to solve dexterity in robots.

Already solved:

[Gergely Orosz @GergelyOrosz]

For the last ~20 years, I did most of my coding inside an IDE - the last ~15 with increasingly good autocomplete.

Which is why it’s so weird that I barely opened an IDE the last two weeks, even as I pushed lots of code. I use the CLI, the web and my phone (!!) to prompt code

[Hemanth Prasad @leohemanth]

@michelleefang Yee!

[ARC Prize @arcprize]

A year ago, we verified a preview of an unreleased version of @OpenAI o3 (High) that scored 88% on ARC-AGI-1 at est. $4.5k/task

Today, we’ve verified a new GPT-5.2 Pro (X-High) SOTA score of 90.5% at $11.64/task

This represents a ~390X efficiency improvement in one year