📹 ByteDance delays global launch of Seedance 2.0 video generator

ByteDance postponed the international release of its video generation model Seedance 2.0.

The model drew attention for producing high-quality videos featuring Hollywood actors. Studios and industry groups in Hollywood filed complaints over the technology.

Seedance 2.0 will remain available only in China for now.

📊 @tech

👨‍🔧 Nvidia shows DLSS 5 that turns low-quality graphics into photorealistic visuals in real time

Nvidia introduced DLSS 5, a new version of its rendering tech that can convert simple low-quality graphics into photorealistic output.

Similar approaches have been used in photo and video generation pipelines for about a year, but Nvidia brings this into real-time rendering.

The system can take schematic 3D scenes and upscale them to near-photoreal quality during runtime.

This could extend to AI workflows, where simple generated scenes are later refined into high-quality visuals.

📊 @tech

🦞 Nvidia launches NemoClaw to support OpenClaw environments

Nvidia introduced NemoClaw as part of its push into OpenClaw infrastructure. The system provides isolated environments for running agents and helps prevent unintended actions like data deletion.

The platform also offers free generation with the LLM model nvidia/nemotron-3-super-120b-a12b.

Usage costs are tied to the OpenClaw virtual environment, priced at about $0.12 per hour.

Nvidia is starting to package agent infrastructure as a managed service.

📊 @tech

📊 Karpathy maps US jobs by AI automation risk

Andrej Karpathy released an open-source dataset scoring 342 US occupations by exposure to AI, using an LLM-based scale from 0 to 10.

Jobs with digital output and remote workflows rank highest. Software developers and analysts score 8–9, while roles like roofers and janitors stay near 0–1. Medical transcriptionists reach 10.

The average exposure across all jobs is 5.3.

The full pipeline, including data, scoring, and visualization, is open source.

📊 @tech

🛠 $96 3D-printed manpads rocket that recalculates its mid-air trajectory using a $5 sensor and piano wire

Its called Project Canard.

It integrates with distributed camera nodes to triangulate airborne targets and update flight paths in real-time.

It proves the barrier to advanced hardware has completely collapsed, moving precision weapons from defense labs to consumer garages.

The entire launcher and interceptor frame is 3D printed in PLA and runs off a standard off-the-shelf ESP32 microcontroller.

It even spins up a local Wi-Fi network so you can monitor live telemetry and arm the system directly from your laptop.

📊 @tech

🤖 OpenAI releases GPT-5.4 mini and nano models

OpenAI introduced GPT-5.4 mini and nano, focused on speed and low-latency tasks. Mini improves on GPT-5 mini with stronger coding and reasoning performance, while nano is the smallest and most cost-efficient version.

Both models are designed for fast responses in high-volume workloads, including coding assistants and simple automation tasks.

GPT-5.4 mini is available via API, Codex, and ChatGPT. GPT-5.4 nano is available only through API.

📊 @tech

⚙️ Benz built the first gasoline car in 1886 with just 0.75 hp

The Benz Patent-Motorwagen, created by Karl Benz in 1886, is considered the first car with an internal combustion engine. It had three wheels and a top speed of about 16 km/h.

The vehicle produced around 0.75 horsepower and was controlled with two levers, one for steering and one for throttle.

Only 25 units were built, and none of the originals survived. The footage shows a replica.

Benz later merged with Gottlieb Daimler’s company to form Mercedes-Benz.

📊 @tech

🤖 Perplexity launches Comet AI browser on iPhone

Perplexity released its Comet browser for iOS. It includes a built-in AI assistant that can summarize pages, run follow-up research, help with shopping, and plan schedules.

The app uses Apple’s Liquid Glass design and can be set as the default browser. Extensions are not supported due to iOS limits.

Perplexity says it collects user data for targeted ads. Comet is already available on Android, Windows, and Mac.

📊 @tech

🔍 Google launches Stitch to generate UI from text

Google introduced Stitch, an AI tool that generates interfaces and interactive prototypes from text prompts.

Users describe ideas, and the agent builds UI and updates it in real time based on feedback.

The workflow shifts from manual design to iteration through prompts, with the tool handling layout and changes.

https://stitch.withgoogle.com/

📊 @tech

⚡️ BYD rolls out ultra-fast EV chargers in China with 9–12 min full charge

BYD is launching a charging network in China with peak power up to 1500 kW. The system can charge an EV to 100% in 9–12 minutes. Up to 20,000 stations are planned across the country by year end.

Only a few models can currently use the full power. The rollout still moves charging closer to refueling time.

BYD is also preparing to expand the network into Europe.


📊 @tech

🤖 Anthropic brings Claude Code to Telegram and Discord

Anthropic launched Claude Code Channels, adding remote access to its coding agent via Telegram and Discord.

Users can interact with the agent without a terminal, continuing workflows directly from chat apps.

The update moves developer tools into messaging, reducing dependence on local environments.

📊 @tech

🤖 OpenAI plans desktop superapp combining ChatGPT, Codex, and browser

OpenAI is working on a desktop “superapp” that combines ChatGPT, Codex, and its browser into one product. The goal is to simplify the experience and refocus after a year of fragmented launches.

The app will center on agentic AI. Systems will run tasks on the user’s computer, including coding and data analysis. Greg Brockman will oversee the revamp, while Fidji Simo leads sales for the new product.

The shift follows internal concerns about too many separate apps slowing development and lowering product quality.

📊 @tech

🪧 San Francisco protest targets AI companies over frontier development

This past weekend, a large crowd marched through San Francisco, stopping at offices of major AI companies. Protesters called on CEOs to publicly commit to pausing frontier AI development.

Signs read “Stop the AI race,” “Don’t build Skynet,” “Shut down OpenAI,” and “AI will kill us.” Some referenced Nobel laureates and science fiction authors.

The protest focuses on coordinated limits on advanced AI work.

Public pressure around AI development is becoming more visible.

📊 @tech

💻 Andrej Karpathy says he stopped writing code since December

In a recent interview, Karpathy said he wrote about 80% of his code himself in October 2025 and delegated 20% to AI agents. Since December, he has not written a single line of code.

He frames it as a task definition problem. If the agent writes bad code, the issue is how the task is given.

The shift reflects rapid improvement in coding agents over a short period.

The interview covers open source, jobs, and robotics, and is worth watching.

👉 Link 👈

📊 @tech

🤖 Tesollo unveils robotic hand that can handle fragile objects

Korean startup Tesollo introduced the DG-5F-S, a five-finger robotic hand with 20 degrees of freedom. It measures 21 cm and weighs 880 grams.

The key feature is compliant joints with backdrivability. The hand can absorb force and interact with objects without damaging them, which is critical for tasks around people.

The design focuses on compatibility with existing humanoid platforms, with size and mounting adapted for integration.

Handling delicate objects remains a core bottleneck for humanoid robotics.

📊 @tech

👍 Claude adds Dispatch mode for remote task execution from phone

Anthropic introduced Dispatch, a mode that lets users assign tasks to Claude from anywhere via phone. The agent can access files on a PC, run code, and execute tasks without direct user interaction.

The feature turns Claude into a more autonomous system with remote control over workflows.

This puts it in direct competition with tools like OpenClaw and intensifies the race around autonomous AI assistants.

📊 @tech

🚀 Musk launches Terafab to build chips for Tesla, SpaceX, and xAI

Elon Musk announced Terafab, a chip factory in Austin run by Tesla and SpaceX. The project aims to produce chips in-house as current suppliers cannot meet demand.

The facility will start as a smaller advanced fab capable of designing and testing chips. Plans include 2 nm production. It will make edge chips for cars and robots, plus high-power chips for space and AI workloads, with xAI as a main user.

The long-term target is up to a terawatt of compute capacity per year, including systems in orbit.

Chip supply is becoming a bottleneck for AI and robotics growth.

📊 @tech