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AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck by automating the full optimization loop for training data, model architectures, and learning algorithms. A new framework called ASI-EVOLVE, developed by researchers at the Generative Artificial Intelligence Research Lab (SII-GAIR), aims to solve this bottleneck. Designed as an agentic system for AI-for-AI research, it uses a continuous "learn-design-experiment-analyze" cycle to automate the optimization of the foundational AI stack. In experiments, this self-improvement loop autonomously discovered novel designs that significantly outperformed state-of-the-art human baselines. The system generated novel language model architectures, improved pretraining data pipelines to boost benchmark scores by over 18 points, and designed highly efficient reinforcement learning algorithms. For enterpri



“You don’t just want to be able to code. You want to be able to have a conversation, form relationships and be able to think critically, because at the end of the day, that’s the thing that AI can’t replace,” said Josephine Timperman, a student at Miami University in Ohio.
(Bloomberg) -- Former Google DeepMind researcher David Silver has raised $1.1 billion for his new company, Ineffable Intelligence, in the latest example of an artificial intelligence startup securing enormous funds out of the gate.Most Read from BloombergThe Billion-Barrel Hormuz Oil Shock Is About to Crash DemandSergey Brin Confronted Gavin Newsom at a Treehouse Party — Then Launched a Political WarIran Offers Deal to US to Reopen Strait and Delay Nuclear Talks, Axios SaysGunman Detained, Trump

PHILADELPHIA & TYSONS CORNER, Va., April 27, 2026--Datavault AI Inc. (NASDAQ: DVLT) ("Datavault AI" or the "Company"), a provider of data monetization, credentialing, digital engagement, and real-world asset ("RWA") tokenization technologies, today announced it has executed a binding term sheet for a cash contribution and revenue participation agreement with Scilex Holding Company (NASDAQ: SCLX) ("Scilex").

Skye's new AI app attracted investors before it even launched — a sign of interest in a more AI-aware iPhone.

Ineffable Intelligence, a British AI lab founded a mere few months ago by former DeepMind researcher David Silver, has raised $1.1 billion in funding at a valuation of $5.1 billion.

OpenAI has won major concessions from its largest shareholder, Microsoft, that will allow it to sell products on AWS, while Microsoft get more cash in a revenue-share agreement.

David Silver has a new billion-dollar company that aims to build AI “superlearners.”

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In February, I picked up a flyer at an anti-AI march in London. I can’t say for sure whether or not its writers meant to riff on South Park’s underpants gnomes. But…

Google CEO Sundar Pichai arrives for the inauguration of President Donald Trump. | Getty Images Over 600 Google employees signed a letter to CEO Sundar Pichai demanding that Google block the Pentagon from using its AI models for classified purposes, reports the The Washington Post. Its organizers claim many of the signers work in Google's DeepMind AI lab, and include more than 20 principals, directors, and vice presidents. According to the Post, the letter says that "The only way to guarantee that Google does not become associated with such harms is to reject any classified workloads. Otherwise, such uses may occur without our knowledge or the power to stop them." Anthropic is currently in a legal battle with the Pentagon over being … Read the full story at The Verge.

OpenAI and Microsoft's partnership-turned-situationship just got even less committed. And a clause about artificial general intelligence, which has for years dictated the future of their deal, has officially been dropped. On Monday morning, Microsoft announced a handful of big changes to its long-standing OpenAI deal. Microsoft will remain OpenAI's "primary cloud partner, and OpenAI products will ship first on Azure, unless Microsoft cannot and chooses not to support the necessary capabilities." But OpenAI can "now serve all its products to customers across any cloud provider." That lets OpenAI pursue its goals of courting enterprise custom … Read the full story at The Verge.

I suddenly feel so much better about every embarrassing typo I’ve ever made. | Original Illustration (left) by Agathe Singer One of Canva's new AI features has been caught replacing the word "Palestine" in designs. The Magic Layers feature - which is designed to break flat images out into separate editable components - isn't supposed to make visible alterations to user designs, but it was found by X user @ros_ie9 to automatically switch the phrase "cats for Palestine" to "cats for Ukraine." The issue was seemingly limited specifically to the word "Palestine," as @ros_ie9 noted that related words like "Gaza" were unaffected by the feature. Canva says it has now resolved the issue and is taking steps to prevent it from happening again. "We became aware of an issue … Read the full story at The Verge.

Takaichi argues the solution is investment — with Aida proposing a "high-pressure economy" where demand outstrips supply and the government breaks the deadlock.
Article URL: https://sci-bot.ru/ Comments URL: https://news.ycombinator.com/item?id=47918570 Points: 1 # Comments: 0

The auto design world is full of advanced 3D visualization tools and VR sculpting platforms, but your average new car still enters the world as a sketch. Those sketches traditionally see endless iteration and refinement from all angles before being turned into 3D models by hand, some dying in the digital world, others sculpted into clay to better visualize lines and profiles. That's just the beginning of a design and development process that often takes a half-decade or more. That means many new cars hitting dealerships this summer were first sketched in 2020 or 2021, initiatives kicked off when alternative fuel incentives were widesprea … Read the full story at The Verge.

Article URL: https://github.com/mempalace/mempalace Comments URL: https://news.ycombinator.com/item?id=47918225 Points: 1 # Comments: 0

Article URL: https://github.com/kidshadow79/Ogma Comments URL: https://news.ycombinator.com/item?id=47916377 Points: 1 # Comments: 0
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Sam Altman and Elon Musk are set to face off in a high-stakes trial that could alter the future of tech’s leading AI startup, OpenAI. The trial begins with jury selection on April 27th, as Musk pushes forward his 2024 lawsuit that accuses OpenAI of abandoning its founding mission of developing AI to benefit humanity and shifting focus to boosting profits instead. Musk was a cofounder of OpenAI and claims that Altman and co-founder Greg Brockman tricked him into giving the company money, only to turn their backs on their original goal. However, OpenAI says that “This lawsuit has always been a baseless and jealous bid to derail a competitor” in a bid to boost Musk’s own SpaceX / xAI / X companies that have launched Grok as a competitor to ChatGPT. In his lawsuit, Musk is asking for the removal of Altman and Brockman, and for OpenAI to stop operating as a public benefit corporation. Musk has also demanded that OpenAI’s nonprofit receive up to $150 billion in damages he’s asking for if he

Google is bringing back its 5-Day AI Agents Intensive Course with Kaggle and registration is open.

Google is not just helping users search email. It is teaching the inbox to rank, summarize, and prioritize it. Following updates that began in March 2025, Google introduced AI-powered search that factors in recency, most-clicked emails, and frequent contacts instead of simply returning results in chronological order. In January 2026, the company stated that Gmail's 3 billion users were entering the Gemini era, with AI Overviews designed to turn inbox information into answers. The signal for mark
Source Article excerpt: With a single PCIe card — powered by six HTX301 chips and 384 GB of memory — enterprises can now run 700B-parameter model inference locally at just ~240W per card. The memory-bandwidth-intensive token generation that dominates real-world inference latency. Existing GPUs handle compute-dense prefill; HTX301 cards handle decode. Each silicon matched to its phase. This is a really interesting approach. It only lets the GPU handle the prefill stage, while everything else, including the model weights and decoding, runs entirely on this card. That way, you can run huge billion parameter models without needing to chase after graphics cards with massive VRAM. As for how the actual product will perform in real life, we'll have to wait until early June at Computex to find out. submitted by /u/lurenjia_3x [link] [comments]

The phone could go into mass production in 2028, an analyst says.

China has ordered Meta to unwind its multibillion-dollar Manus acquisition, dealing a potential setback to Zuckerberg’s push into AI agents.

Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis. The paper, "Training for Compositional Sensitivity Reduces Dense Retrieval Generalization," tested what happens when teams train embedding models for compositional sensitivity. That is the ability to catch sentences that look nearly identical but mean something different — "the dog bit the man" versus "the man bit the dog," or a negation flip that reverses a statement's meaning entirely. That training consistently broke dense retrieval generalization, how well a model retrieves correctly across broad topics and domains it wasn't specifically trained on. Performance dropped by 8 to 9 percent on smaller models and by 40 percent on a current mid-size embedding model teams are actively using in production. The findings have direct implications for enterprise teams building agentic AI pipeline

Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI tools have dazzled users with speed and ease, enterprise leaders are discovering that deploying AI at scale requires something far less glamorous but far more consequential: data…

Article URL: https://www.phoronix.com/news/Clanker-T1000-AMD-Ryzen-AI-Max Comments URL: https://news.ycombinator.com/item?id=47914388 Points: 5 # Comments: 0

Sereact has raised a $110 million Series B round led by Headline, with participation from Bullhound Capital, Daphni, and Felix Capital. Existing investors Air Street Capital, Creandum (who led the company’s 2025 Series A round), and Point Nine once again invested in Sereact. The round funds two priorities: scaling Cortex 2 and entering the United […]

SquareMind, an AI and robotics company developing solutions for dermatology, has announced $18 million in funding, including previously undisclosed pre-Series A financing, to enable high-quality, consistent skin exams and make them accessible at scale. The round was led by Sonder Capital, a California-based venture fund co-founded by medical robotics pioneer and Intuitive Surgical founder Fred […]