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AGIBOT releases GO-2 foundation model for embodied AI
AGIBOT said GO-2 enables robots to plan correctly and go beyond that to execute reliably in real-world environments. The post AGIBOT releases GO-2 foundation model for embodied AI appeared first on The Robot Report.
Google and Intel deepen AI infrastructure partnership
Claude Cowork expands to all paid plans on macOS and Windows with new org controls
General AI
Juno, CPA-Founded Startup That Aims To Make Tax Returns Less Painful With AI, Raises $12M
AI tax prep automation startup Juno, founded to address the opportunities — and risks — that come with advances in AI, and built for underserved SMB accounting firms, says it has received a $12 million seed investment.
Google and Intel deepen AI infrastructure partnership
The two tech giants are looking to co-develop custom chips, at a time where demand for CPUs is high due to a growing global shortage.
Is Anthropic limiting the release of Mythos to protect the internet — or Anthropic?
Are real cybersecurity concerns a cover for a bigger problem at the frontier lab?
First man convicted under Take It Down Act kept making AI nudes after arrest
Ohio man used more than 100 AI tools to make fake nudes of women and minors.
3 charts reveal Big Tech's biggest problem this earnings season
Big Tech will have to do a lot of convincing this coming earnings season that aggressive capital expenditures to build AI infrastructure will deliver strong returns.
Meta races to catch up to AI giants with new model
The firm invested huge sums in a team to develop the new model, but analysts have questioned whether it has already fallen too far behind AI rivals.
An Interview with New York Times CEO Meredith Kopit Levien About Betting on Humans With Expertise
An interview with New York Times Company CEO Meredith Kopit Levien about human expertise as a moat against Aggregators and AI.
The Nasdaq Is in Correction Territory. Here Are the 2 Artificial Intelligence (AI) Stocks I'm Buying First
The Nasdaq correction isn't pausing artificial intelligence (AI) demand -- it's discounting the infrastructure movement entirely.
Nvidia-Backed Firmus Raises $505 Million As AI Data Center Boom Accelerates
Nvidia Corp backed Australian AI infrastructure startup Firmus has secured $505 million in fresh equity funding, pushing its valuation to $5.5 billion. AI Infrastructure Demand Drives Fresh Capital The latest funding round was led by Coatue, with participation from Nvidia. The investment remains subject to closing conditions, Nikkei Asia reported on Tuesday. This marks Firmus' third equity raise in six months, bringing total capital raised during that period to $1.35 billion. The funding arrives
Amazon CEO takes aim at Nvidia, Intel, Starlink, more in annual shareholder letter
Andy Jassy's annual shareholder letter reads something like a diss track to a wide range of competitors as he defends spending $200 billion in capex.
Atlassian launches visual AI tools and third-party agents in Confluence
Confluence users can now create visual assets within the software in addition to new third-party agents working with Lovable, Replit, and Gamma.
The AI industry’s race for profits is now existential
Today on Decoder, let’s talk about the looming AI monetization cliff, and whether some of the biggest companies in the space can become real, profitable businesses before they careen right off it. My guest today is Hayden Field, who’s our senior AI reporter here at The Verge. She’s been keeping close tabs on both Anthropic and OpenAI, and how these two companies in particular tell us a whole lot about the AI industry in 2026. You’ve certainly heard a version of the monetization cliff story before. The biggest AI firms are built off the back of hundreds of billions in capital investment, and they’re linked to even greater amounts of forward-looking investment in data center build-out, chips, and other infrastructure spend. At some point, the profits have to materialize, or the bubble pops. Maybe AGI arrives, maybe the economy crashes, who knows. You’ve heard me ask some version of this question to scores of CEOs here on this show, and a majority of them have hinted toward the bub
Google makes it easy to deepfake yourself
YouTube Shorts is rolling out a new AI-powered feature giving creators an easy way to realistically clone themselves on camera. The launch, hinted at earlier this year, reflects the platform's fraught relationship with AI-generated content, adding more generative features while struggling to contain AI slop, deepfake scams, and impersonations. YouTube says the new tool will let users create a digital version of themselves, called an avatar, that can be inserted into existing Shorts videos or used to generate entirely new ones. The company said avatars will "look and sound like you," framing them as a safer and more secure way to use AI to … Read the full story at The Verge.
New problem: AI finds too many bugs
Article URL: https://etn.se/73048 Comments URL: https://news.ycombinator.com/item?id=47700400 Points: 3 # Comments: 4
Waiting for DeepSeek: new model to test China's AI ambitions
The long-awaited V4 model has yet to appear, stoking speculation over China's AI progress and whether Huawei chips can power a true Nvidia alternative.
Meta's new model is Muse Spark, and meta.ai chat has some interesting tools
Article URL: https://simonwillison.net/2026/Apr/8/muse-spark/ Comments URL: https://news.ycombinator.com/item?id=47699703 Points: 1 # Comments: 0
Meta's new model is Muse Spark, and meta.ai chat has some interesting tools
101 Humans of New York on the Risks of AI
Nobody has ever done an in person door to door survey about AI risks[1]. What do people really think about AI? Like really? There have been some surveys on the risks from AI. But there’s a real difference between looking at numbers on page vs. the feeling of talking to our fellow humans. I[2] asked 101 people what they thought about the impact of AI. Approximately half of the responses were from ringing doorbells, and half were from asking people out and about[3]. Every single one of these was in person face to face. Around 10 respondents only spoke Spanish and were surveyed in Spanish[4]. Here are the results. The top level results are very strong when it comes to showing interest in regulating AI. Everything else will be reflections on the results/process and all the qualitative data I picked up from this process. Thoughts on some Specific Questions This question was the longest and most complex question. I basically have to read out all of the options since it's not on a simple sc
AI news from 200+ sources
Get Started FreeModels & Gen AI
Sierra’s Bret Taylor says the era of clicking buttons is over
Co-founder of Sierra predicts that AI agents will make software interfaces obsolete.
The 70-Person AI Image Startup Taking on Silicon Valley's Giants
Black Forest Labs has long punched above its weight in the AI image generation space. Its next move? Powering physical AI.
Google’s Gemini AI can answer your questions with 3D models and simulations
Google's latest upgrade for Gemini will allow the chatbot to generate interactive 3D models and simulations in response to your questions. With the new feature, you may see options to rotate the AI-generated model, manually adjust sliders on it, or input different values to change the simulation in real-time. When trying out the feature for myself, I asked Gemini to make a simulation of the Moon orbiting the Earth, and it created a 3D model with a few different ways to interact with it. Along with a slider to adjust the speed of the Moon's orbit, there's also a toggle to hide the line representing its orbital path and a button to pause the … Read the full story at The Verge.
US software stocks fall as Anthropic's new AI model revives disruption fears
U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. Anthropic said earlier this week it would only allow a group of around 40 companies, including Microsoft and Google, access to its "Claude Mythos" model because it has already found thousands of vulnerabilities, including some in every major operating system and web browser. "If Mythos is that strong and that powerful and it's exposing these vulnerabilities that have been around for years, it just shows one, the weakness of the current software that's out there and two, that AI is still making incredible progress versus legacy software companies," said Michael O’Rourke, chief market strategist at JonesTrading.
New Stanford study reveals when teaming up AI agents is worth the compute
Multi-agent AI systems are widely considered more capable. A Stanford study shows their apparent advantage largely comes from using more compute. But there are important exceptions. The article New Stanford study reveals when teaming up AI agents is worth the compute appeared first on The Decoder.
LLM agents shouldn't execute blindly – this one plans first and stays editable
Article URL: https://cuddlytoddly.com/ Comments URL: https://news.ycombinator.com/item?id=47704803 Points: 4 # Comments: 0
Anthropic launches managed infrastructure for autonomous AI agents
Anthropic's new "Claude Managed Agents" gives developers a hosted platform for building and running autonomous AI agents. Early adopters like Notion and Rakuten are already using the system. The article Anthropic launches managed infrastructure for autonomous AI agents appeared first on The Decoder.
Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation
Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large language models (LLMs) beginning in early 2023 but coming to screeching halt last year after Llama 4 debuted to mixed reviews and ultimately, admissions of gaming benchmarks. That bumpy rollout of Llama 4 apparently spurred Meta founder and CEO Mark Zuckerberg to totally overhaul Meta's AI operations in the summer of 2025, forming a new internal division, Metal Superintelligence Labs (MSL) which he recruited 29-year-old former Scale AI co-founder and CEO Alexandr Wang to lead as Chief AI Officer. Now, today, Meta is showing us the fruits of that effort: Muse Spark, a new proprietary model that Wang says (posting on rival social network X, used more often by the machine learning community) is "the most powerful model that meta has released," and has "support for tool-use, visual chain of thou
Robotics
First, Tesla canceled the Model 2—now it's working on a new small EV
After the pivot to humanoid robots and AI, does Tesla want to be a car company again?