Right now in the AI world, there are a lot of percolating ideas and experimentation. But as far as Replit CEO Amjad Masad is concerned, they're just "toys": unreliable, marginally effective, and generic. “There's a lot of sameness out there,” Masad explains in a new VB Beyond the Pilot podcast. “Everything kind of looks the same, all the images, all the code, everything.”This "slop," as it’s come to be known,... Read more ›
0
A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used as part of RAG pipelines. The approach is straightforward: retrieve relevant documents, feed them to an LLM, and let the model generate an answer based on that context.While retrieval might have seemed... Read more ›
0
Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 billion parameters, compared to the hundreds of billions or trillions used by leading foundation large language models (LLMs).But MiroThinker 1.5 stands out among these smaller reasoners for one major reason: it offers agentic research capabilities rivaling trillion-parameter competitors like Kimi K2 and DeepSeek, at a fraction of the inference cost.The... Read more ›
39
Right now in the AI world, there are a lot of percolating ideas and experimentation. But as far as Replit CEO Amjad Masad is concerned, they're just "toys": unreliable, marginally effective, and generic. “There's a lot of sameness out there,” Masad explains in a new VB Beyond the Pilot podcast. “Everything kind of looks the same, all the images, all the code, everything.”This "slop," as it’s come to be known,... Read more ›
0
Right now in the AI world, there are a lot of percolating ideas and experimentation. But as far as Replit CEO Amjad Masad is concerned, the results are unreliable, marginally effective, and generic. “There's a lot of sameness out there,” Masad explains in a new VB Beyond the Pilot podcast. “Everything kind of looks the same, all the images, all the code, everything.”This "slop," as it’s come to be known,... Read more ›
0
Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidia's latest B200 graphics processors.The model, called NousCoder-14B, is another entry in a crowded field of AI coding assistants, but arrives at a particularly charged moment: Claude Code, the agentic... Read more ›
3
In the fast-moving world of AI development, it is rare for a tool to be described as both "a meme" and AGI, artificial generalized intelligence, the "holy grail" of a model or system that can reliably outperform humans on economically valuable work. Yet, that is exactly where the Ralph Wiggum plugin for Claude Code now sits. Named after the infamously high-pitched, hapless yet persistent character on "The Simpsons," this newish... Read more ›
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The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an independent AI benchmarking organization whose rankings are closely watched by developers and enterprise buyers, released a major overhaul to its Intelligence Index that fundamentally changes how the industry measures AI progress.The new Intelligence Index v4.0 incorporates 10... Read more ›
1
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to digest long docs, tickets, and logs, this is a bid to get “long memory” without paying attention costs that grow with context length.The approach, called “End-to-End Test-Time Training” (TTT-E2E), reframes language modeling as a continual learning problem: Instead... Read more ›
1
For the last two years, the prevailing logic in generative AI has been one of brute force: if you want better reasoning, you need a bigger model. While "small" models (under 10 billion parameters) have become capable conversationalists, they have historically crumbled when asked to perform multi-step logical deduction or complex mathematical proofs.Today, the Technology Innovation Institute (TII) in Abu Dhabi is challenging that scaling law with the release of... Read more ›
0
Nvidia CEO Jensen Huang said last year that we are now entering the age of physical AI. While the company continues to offer LLMs for software use cases, Nvidia is increasingly positioning itself as a provider of AI models for fully AI-powered systems — including agentic AI in the physical world.At CES 2026, Nvidia announced a slate of new models designed to push AI agents beyond chat interfaces and into... Read more ›
0
Fintech Brex is betting that the future of enterprise AI isn’t better orchestration — it’s less of it.As generative AI agents move from copilots to autonomous systems, Brex CTO James Reggio says traditional agent orchestration frameworks are becoming a constraint rather than an enabler. Instead of relying on a central coordinator or rigid workflows, Brex has built what it calls an “Agent Mesh”: a network of narrow, role-specific agents that... Read more ›
0
When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen — it takes notes.For the past week, the engineering community has been dissecting a thread on X from Boris Cherny, the creator and head of Claude Code at Anthropic. What began as a casual sharing of his personal terminal setup has spiraled into a viral manifesto on the future of software development, with industry... Read more ›
0
AI is evolving faster than our vocabulary for describing it. We may need a few new words. We have “cognition” for how a single mind thinks, but we don't have a word for what happens when human and machine intelligence work together to perceive, decide, create and act. Let’s call that process intelition. Intelition isn’t a feature; it’s the organizing principle for the next wave of software where humans and... Read more ›
0
For decades, we have adapted to software. We learned shell commands, memorized HTTP method names and wired together SDKs. Each interface assumed we would speak its language. In the 1980s, we typed 'grep', 'ssh' and 'ls' into a shell; by the mid-2000s, we were invoking REST endpoints like GET /users; by the 2010s, we imported SDKs (client.orders.list()) so we didn’t have to think about HTTP. But underlying each of those... Read more ›
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Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over the future AI stack. 2026 is when that fight becomes obvious to enterprise builders.For the technical decision-makers we talk to every day — the people building the AI applications and the data pipelines that drive them — this deal is a signal that the era of the one-size-fits-all GPU as... Read more ›
0
xAI has launched Grok Business and Grok Enterprise, positioning its flagship AI assistant as a secure, team-ready platform for organizational use. These new tiers offer scalable access to Grok’s most advanced models — Grok 3, Grok 4, and Grok 4 Heavy, already among the most performant and most cost-effective models available in the world — backed by strong administrative controls, privacy guarantees, and a newly introduced premium isolation layer called... Read more ›
2
Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford University’s 2025 Index Report shows that a mere 6% of organizations have an advanced AI security strategy in place.Palo Alto Networks predicts 2026 will bring the first major lawsuits holding executives personally liable for rogue AI actions. Many organizations are grappling with how to contain the accelerating and unpredictable nature of AI threats. Governance... Read more ›
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When initially experimenting with LLMs and agentic AI, software engineers at Notion AI applied advanced code generation, complex schemas, and heavy instructioning. Quickly, though, trial and error taught the team that it could get rid of all of that complicated data modeling. Notion’s AI engineering lead Ryan Nystrom and his team pivoted to simple prompts, human-readable representations, minimal abstraction, and familiar markdown formats. The result was dramatically improved model performance.... Read more ›
0
The AI narrative has mostly been dominated by model performance on key industry benchmarks. But as the field matures and enterprises look to draw real value from advances in AI, we’re seeing parallel research in techniques that help productionize AI applications. At VentureBeat, we are tracking AI research that can help understand where the practical implementation of technology is heading. We are looking forward to breakthroughs that are not just... Read more ›
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Most popular sources
Business Insider
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52% 35 |
Vox
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8% 4 |
Wired
|
6% 3 |
Gizmodo
|
4% 11 |
Ars Technica
|
4% 4 |
| View sources » | |
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29.01.2026 20:19
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