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Rocket engine startup Impulse raises $500 million to hire people, not AI
Engineering physical systems still depends on human talent, according to Impulse Space president Eric Romo.
ZeroDrift raises $10 million to protect AI models from themselves
Zip’s new AI agents want to stop your finance team from uploading contracts into personal ChatGPT accounts
General AI
STMicro Raises Data Center Target on AI Demand
AI infrastructure demand lifts STMicro's data center outlook.
Great News for Amazon Stock Investors!
AI is proving to be a formidable opportunity for the e-commerce leader.
Latest News In Cloud AI - Bridging The Adoption Gap With Hands-On Experiences
The rapidly evolving landscape of Cloud AI has highlighted a significant challenge as the pace of AI technology advancements outstrips customers' ability to adopt them. According to Instruqt's 2026 State of Developer Adoption Report, conducted by SlashData, many software companies face operational hurdles, including team misalignment and maintaining content accuracy amid frequent product updates. This gap in adoption is being addressed through innovative hands-on labs, which have proven...
Billionaire Stanley Druckenmiller Dumped 94% of His Fund's Amazon Stake and Piled Into a Scorching-Hot Chip Stock for the First Time in 8 Years
Duquesne Family Office's billionaires boss nearly parted ways with his former No. 7 holding in favor of a skyrocketing stock that's benefiting from the AI data center build-out.
Morgan Stanley Sees Microsoft Emerging as One of AI's Biggest Winners
Wall Street Sees Big Opportunity in Microsoft's Expanding AI Infrastructure
Nine dead and over 60 wounded as Russia launches air attacks across Ukraine
Moscow warned last week that it intended to launch "systematic strikes" on targets in Kyiv and urged foreign nationals to leave.
Jeff Bezos’ 25-year-old stress cure is to ‘make the first phone call, or send the first email’— and a recruiter says it lands even harder in 2026
With economic uncertainty, AI anxiety, and a brutal job market weighing on workers, Amazon founder Jeff Bezos has a counterintuitive theory on stress: and the answer is not your workload, it's your inaction.
Microsoft to unveil new AI models and Windows improvements at Build
Microsoft is heading to San Francisco this week in a bid to win back developers at its Build conference. I've been attending Build since the days when Microsoft called it the Professional Developers Conference, and I can't remember a more pivotal moment. As Microsoft continues to reshuffle its entire business around AI, it's moving Build into a smaller, more intimate venue. Trust in Windows and GitHub is at an all-time low, and this is Microsoft's chance to reconnect with developers and outline the future. Sources tell me that we'll hear about new AI models in Windows, a new reasoning model from Microsoft AI, and a Copilot "super app." But … Read the full story at The Verge.
Anthropic’s first-mover IPO edge set to widen lead over OpenAI
The first to tap the U.S. market's unparalleled depth and liquidity will likely gain an immediate advantage regarding chips, data centers and talent.
The ‘godfather of AI’ says we’re not just creating new beings — they’ll be much smarter than us, and soon
The race to make the smartest possible AI that can do the most things will "lead to things that aren't nice beings towards us," Geofrey Hinton said.
AI costs how much? GitHub Copilot users react to new usage-based pricing system
Some report burning through their whole monthly "AI credit" allotment in a single day.
Anthropic confidentially files its S-1 first—but the IPO race with OpenAI is just beginning
As two AI giants hurtle towards IPOs, Anthropic is showing early momentum.
Transforming rare cancer research with Amazon Quick: Integrating biomedical databases for breakthrough discoveries
In this post, we walk through how to use Amazon Quick Research to integrate biomedical data sources for rare cancer research. The walkthrough uses pediatric sarcoma as the research domain and draws on publicly available datasets from PubMed and other open biomedical repositories. It covers the end-to-end workflow: defining a research objective, configuring data sources, reviewing the AI-generated research plan, running the investigation, and iterating on results using the revision and versioning system.
Amazon AI BlogCodex is becoming a productivity tool for everyone
The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation.
In an agent stack, where would you add heavy reasoning first: state corruption, tool-contract mismatch, or the last external action?
I keep thinking Ring-2.6-1T makes more sense as a containment layer than as a default model for every step. It is a trillion-parameter reasoning model for agent workflows with high and xhigh reasoning-effort modes. If I only added it to one failure-prone point first, I would choose state corruption, a tool-contract mismatch, or the final external action before the agent changes something outside the sandbox. Which failure point would you guard first? submitted by /u/Spirited_Friend_8428 [link] [comments]
New Fed study shows remote work, not AI, is driving higher unemployment in younger workers
The Federal Reserve Bank of New York found companies preferred to hire more experienced workers for jobs that can be done remotely as opposed to non-remote jobs.
Meet the people who actually want AI to replace humanity. (We need to create a new humanism before these “AI successionists” win!)
submitted by /u/vox [link] [comments]
AI news from 200+ sources
Get Started FreeModels & Gen AI
Ignoring benchmarks, how do the newest local models (gemma 4 31B, 26BA4B, Qwen 3.6) “feel” to you? What do you think they compare to?
I use local ai mainly for creative writing, and benchmarks are a bit iffy on that I feel like. I’d like to compare Gemma mainly to Gemini as I like their writing the best, I do know that qwen 3.6 is amazing but mostly for coding and agentic work. I’d like to ask everyone how the new(er?) models feel to you personally rather than looking at benchmarks which they are likely optimised for. For me, I feel like Gemma 4 31B (even q4) still falls short of 2.5 pro, I’m most familiar with 2.5 pro since I used so much of it for free on ai studio when it was a preview. The style and prose are there but long context it still misremembers minor details. I think it’s actually better than gpt 4.5, but tha could be personal preference since, again, I do mostly only creative writing submitted by /u/opoot_ [link] [comments]
Nvidia’s New PCs for “Agentic AI Power Users” Are Here—And They’re Not Playing Around
Nvidia just launched the first consumer PCs explicitly designed for AI agents, and if you think this is just another marketing gimmick, you’re missing the bigger picture. This is the moment AI hardware stopped being niche. The Deep-Dive: According to the WSJ and Nvidia’s own announcements, these new machines are purpose-built for running multi-agent workflows—the kind that power customer service bots, code assistants, and autonomous research tools. Key specs: - RTX Pro boards with up to 48GB VRAM for local agent orchestration. - CPU + GPU hybrid architecture optimized for parallel task execution. - Enterprise-grade security and remote management for business users. This isn’t about gamers or creatives anymore. These are workstations for professionals who need to deploy, monitor, and scale AI agents daily. Companies like Salesforce, ServiceNow, and Microsoft are already integrating Nvidia’s stack into their agent frameworks. The implications are huge: - Democratizing agent deplo
NVIDIA releases new and updated tools for physical AI developers
NVIDIA has released open-source physical AI agent skills and tools, as well as an Isaac GR00T humanoid reference robot. The post NVIDIA releases new and updated tools for physical AI developers appeared first on The Robot Report.
Gemini’s new AI agent is about as good as Google’s demo
Google's new "24/7" AI agent, Gemini Spark, can be shockingly good at doing things on your behalf. But I'm not sure it's worth the financial cost and potential privacy tradeoffs. The company gave me access to Spark last week. Google advertises Spark as an AI agent that can take on tasks and work on them in the background - even tasks that have multiple steps - allowing you to put your phone down or walk away from your computer. It also advertises at the very top of the Spark website that it's "always under your direction," that "you choose to turn it on," and that "it's designed to check with you before taking major actions." Given the moun … Read the full story at The Verge.
For AI agents, where should the heavier reasoning budget go first: before actions, after state changes, or before the final explanation?
One thing I find interesting about reasoning models is that the hard question is often budget placement, not headline capability. Ring-2.6-1T is a trillion-parameter reasoning model for agent workflows with high and xhigh reasoning-effort modes. If an AI agent only gets a heavier reasoning pass in one place, I would put it before it takes an external action, after it updates state, or before it gives the final explanation to a user. Where would you spend that budget first? submitted by /u/babyb01 [link] [comments]
For Ling-2.6-1T, what would make the size feel justified first: quality per token, local serving reality, or long context stability?
The first question I have about Ling-2.6-1T is not “is the model card impressive?” It is whether the boring trade-off makes sense. It is an open-sourced Ant/InclusionAI flagship with about 1T total params / 63B activated params, up to 1M native context, and 256K currently exposed through the official API. For a local-LLM crowd, I’d want one answer first: does the quality justify the active size, can the serving setup make sense, or does the long window stay stable enough deep into context? Which one would you need answered before caring about it? submitted by /u/Top_Training5738 [link] [comments]
Robotics
Software is ‘the biggest bottleneck to robotics innovation’, says BlackBerry QNX report
QNX, a division of BlackBerry, has released a new research study, the Inside the Robot: Architecture Benchmark Report, examining how robotics development is changing as systems become more software‑driven, AI‑enabled, and increasingly deployed alongside humans at work and in daily life. Based on a survey of 1,000 developers from around the world, the research reveals […]
NVIDIA releases Cosmos 3 Omnimodal world modelson HF
https://huggingface.co/nvidia/Cosmos3-Super-Text2Image Nano: 16B Super: 64B Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs. It serves as a foundational building block for a broad range of Physical AI applications and research spanning world understanding, world generation, simulation, and embodied policy learning. Haven't seen much here yet. Some twitter discussion: https://x.com/victormustar/status/2061354267546427595 submitted by /u/RobotRobotWhatDoUSee [link] [comments]
Mecka AI raises $60 million to train robots with human data sourced from body sensors and iPhones
The crypto VC Framework Ventures led two fundraises for the robotics startup, which projects $100 million in annual run rate.
Research
I wanna discuss medical ai researchs with major, and I improve my english skills. Please...discuss them helping my english skills
Hi, I'm prepare for a phd in the US in medical AI, so I want to improve listening and speaking skills. I warry about admission interview, and I like discuss research. I find male friends because I have a girlfriend. I don't want to make her worry. I find the friends online firstly. Please feel free to contact me. submitted by /u/CrazyIndependent7436 [link] [comments]