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Brett Adcock's new AI startup is now valued at $6 billion by its investors.


Article URL: https://github.com/HaraldBregu/friday Comments URL: https://news.ycombinator.com/item?id=48224693 Points: 1 # Comments: 0
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That’s my own Android app. Bad, yet impressive. | Photo by Sean Hollister / The Verge Yesterday, I built my first Android app. Then, I made two more - three in one afternoon. For one, I literally typed 148 words into my web browser and walked away. Ten minutes later, I had an entire new app on my actual Android phone. I did have to prep that phone by enabling a USB debugging mode and plugging it into my PC, but as advertised, Google's AI Studio did literally everything else for me. I typed in words, I hit install, and voilà: an entire working program. I was nearly ready to agree with David, Allison, and Jen: The personal software revolution is here, it's coming to your phone, there's a future where the average person can m … Read the full story at The Verge.

Microsoft Corporation (NASDAQ:MSFT) is one of Louis Navellier’s top long-term stock picks. On May 13, Microsoft Corporation (NASDAQ:MSFT) released a foundation model for solving power grid problems. GridSFM is the solution Microsoft is positioning to solve AC Optimal power flow problems in transmission power grids, thereby addressing $20 billion in annual congestion losses. GridSFM is […]

The Path says its AI model has scored 95 on the mental health safety AI benchmark, Vera-MH. This compares to a top score of 65 for the consumer bots.

In the early 2000s, corporate sustainability faced a similar credibility crisis — every company measured sustainability differently.

Manus co-founders are weighing ways to comply with China's order to unwind Meta's $2 billion-plus acquisition of the AI startup, Bloomberg News reported on Thursday. Founders Xiao Hong, Ji Yichao and Zhang Tao are exploring options, including raising about $1 billion from external investors to buy their way back, the report said citing people familiar with the matter. They are discussing a funding round that would value the company at a level to match what Meta paid to buy Singapore-based Manus, the report added.

Meta Platforms, Inc. (NASDAQ:META) is one of the top tech stocks in billionaire Ken Fisher’s portfolio. On May 12, Meta Platforms Inc. (NASDAQ: META) entered into power purchase agreements with D.E Shaw Renewable Investments for 850 megawatts of renewable energy capacity. The power purchase agreements consist of 500MW in Oklahoma, 200MW in Texas, and 150MW […]

Microsoft's U.S. AI diffusion report finds the technology spreading into college towns, Sun Belt suburbs, and small businesses that didn't exist years ago.
Q2 revenue jumps to $10.9 billion while operating profit reaches $559 million amid rapid scaling and heavy compute commitments
A follow-up to yesterdays article, from AMD themselves. It gives more information on availability of the Halo Box and AI 400 series. submitted by /u/Baumpaladin [link] [comments]

Three of five regional winners of the prestigious Commonwealth Short Story Prize are suspected of relying on chatbots. They’re certainly not alone.

Stability AI has unveiled Stable Audio 3.0, a new generation of audio models - three of which ship with open weights. The models generate music tracks up to six minutes long and were trained entirely on licensed data, according to the company. The article Stability AI launches Stable Audio 3.0 with up to six-minute tracks and open weights appeared first on The Decoder.
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Kore.ai on Wednesday launched what amounts to a ground-up reinvention of its core technology: the Artemis edition of its Agent Platform, a system designed to let enterprises build, govern, and optimize AI agents using AI itself — compressing what has traditionally been months of engineering work into days. The platform arrives at a moment when every major technology vendor — from Microsoft and Salesforce to Google and ServiceNow — is racing to become the default infrastructure for enterprise AI agents. Kore.ai's answer to that crowded field is a bet on neutrality, a proprietary intermediary language for defining agents, and a philosophy that AI, not human developers, should do most of the heavy lifting. "We're trying to change the paradigm about how people design, build, deploy and optimize agentic AI applications," Raj Koneru, the company's founder and CEO, told VentureBeat in an exclusive interview ahead of the launch. "The whole theme that we are now coming out with is you do AI wit

OrcaRouter, the zero-markup adaptive LLM routing platform built by Continuum AI, today announced the availability of Google AI's Gemini 3.5 Flash API on its unified routing infrastructure.

The AI agents are coming. A lot of them.

The next big thing for Nvidia will be CPUs for AI agents, $200 billion worth, CEO Jensen Huang predicts.

Canadian AI lab Cohere made waves recently by announcing a merger with German AI startup Aleph Alpha, but now it has even more in store for enterprise builders around the globe: today, the firm co-founded by former Googler and "Attention Is All You Need" co-author Aidan Gomez unveiled Command A+, a highly optimized, 218-billion-parameter language model engineered specifically for complex reasoning, multimodal document processing, and agentic workflows. The most significant aspect of the release is not just the model’s capabilities; it is its accessibility. By releasing the model weights free on the popular AI code sharing repository Hugging Face under a highly permissive Apache 2.0 open-source license — a first for the company, according to a post by Gomez, now Cohere's CEO, on X — Cohere is making a calculated bet on "sovereign AI"—the thesis that enterprises, governments, and developers should have the ability to run, control, and adapt frontier-grade AI entirely within their own se

Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a redesigned investigation architecture, and a shared workspace where engineers and AI agents collaborate in real time on live incidents. The centerpiece of the release is a new multi-agent investigation system developed by Resolve AI's in-house research lab. Instead of deploying a single AI agent to diagnose a production failure — analogous to a lone engineer pulling an on-call shift — the platform now dispatches a coordinated team of specialized agents that pursue multiple hypotheses in parallel, independently verify each other's conclusions, and construct complete causal chains from root cause to symptom. The company says the architecture delivers more than a twofold improvement in root cause accuracy on its internal evaluation benchmarks compared to earlier versions of its platform. "Think
![[AINews] OpenAI GPT-next disproves 80 year old Erdős planar unit distance problem for under $1000](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/0e03555c-320e-4fc8-8de5-aadbc3a771ff.jpg)
a quiet day but a nice result in AI x mathematics
Most AI discussions still focus on what agents can do. I think the more interesting question is what starts breaking once they operate across real enterprise workflows at scale. Not just generating outputs, but interacting with approvals, vendors, payments, reporting, compliance, and multiple internal systems simultaneously. Infrastructure like W3 already operates around that coordination layer, which makes me think the operational side of AI may become much harder than the intelligence side itself. Curious what people here think becomes the biggest bottleneck first. submitted by /u/tsurutatdk [link] [comments]
Just wanted to share an important Update for AI & Cloud Learners Google is shifting from a traditional AI platform toward a complete Agentic AI ecosystem focused on autonomous AI agents and enterprise workflows. Key highlights: Existing Vertex AI services and workloads will continue to work AI development, orchestration, governance, and security are now unified under one platform New tools introduced for building autonomous AI agents and multi-agent workflows Access to Gemini, Gemma, Claude, and 200+ models remains available This marks a major shift in Google Cloud’s AI strategy toward Agentic AI and enterprise automation. If you are currently learning or working with Vertex AI, it’s important to start exploring the Gemini Enterprise Agent Platform moving forward. Have seen that, GCP ACE exam is going to revamped absed on this Gemini Enterprise Rebranding. submitted by /u/Few-Engineering-4135 [link] [comments]

Sean Neville’s startup aims to build banking tools especially designed for AI agents.

Even in a relatively quiet period, AI is out there creating new knowledge. The new knowledge in question is OpenAI getting us the first truly impressive math result that comes from an AI, a solution to the unit distance problem. We’re about to learn a different kind of knowledge later today when the White House issues its executive order, or when the judges rule in Anthropic’s DC case. And then there’s the other kind of new knowledge, which is the knowledge that things are fake slop, such as a particular formerly supposedly prestigious literary prize. Meanwhile, METR issued a risk report on frontier models, concluding that they don’t yet have the means, motive and opportunity to cause the big issues, but that this would not obviously last so much longer. Andrej Karpathy has joined Anthropic, explicitly to do recursive self-improvement. He plans to later return to his education work, but if he succeeds at his new task there might not be anything left to return to. Congratulations to

Presented by Design.com Generative AI has made design radically more accessible. A founder can now create a logo, launch a website, build social campaigns, generate presentations, and produce marketing collateral in a single afternoon — work that once required agencies, freelancers, or internal creative teams. But as design generation becomes easier, maintaining a recognizable identity becomes harder. The problem is no longer whether businesses can create content. It’s whether all of that content still feels like it comes from the same company. That shift matters most for emerging businesses. Established enterprises already have brand governance systems, design teams, and years of customer recognition reinforcing their identity. Small businesses and solo founders often have none of those advantages. Their brand is built almost entirely through digital touchpoints — websites, presentations, social posts, ads, emails, and customer interactions that may be created across multiple tools a

Factorial Expands Solid-State Drone Battery Partnerships Across Three Continents New collaborations aim to improve drone endurance, power, and cold-weather performance for commercial and defense applications Battery technology company Factorial Energy announced a series of new partnerships focused on integrating next-generation batteries into drone systems across the United States, Europe, and Asia-Pacific. The company says the […] The post The Drone Industry’s Battery Problem Has a New Challenger appeared first on DRONELIFE.

Today, Copenhagen-based healthcare AI Corti is launching Symphony for Speech-to-Text, a new generation of clinical-grade speech recognition models engineered specifically for real-time dictation, conversational transcription, and batch audio processing — and their accuracy rate is the highest for this specific use case yet recorded. "We are focused on ensuring our AI scribes can be trusted by physicians, medical practitioners and patients...the entire healthcare system," said Andreas Cleve, co-founder and CEO of Corti, in an exclusive video call interview with VentureBeat. The performance data the company is bringing to the table paints a stark picture of the current state of enterprise AI: when it comes to highly regulated, specialized industries, domain-specific models can beat out the foundation model providers. In a newly published research paper, Corti revealed that its new clinical-grade speech models reduced word error rates (WER) by up to 93% when compared against leading gen