It’s the question on everyone’s minds and lips: Are we in an AI bubble?It's the wrong question. The real question is: Which AI bubble are we in, and when will each one burst?The debate over whether AI represents a transformative technology or an economic time bomb has reached a fever pitch. Even tech leaders like Meta CEO Mark Zuckerberg have acknowledged evidence of an unstable financial bubble forming around AI.... Read more ›
44
Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works weren't about a single breakthrough model. Instead, they challenged fundamental assumptions that academicians and corporations have quietly relied on: Bigger models mean better reasoning, RL creates new capabilities, attention is “solved” and generative models inevitably memorize.This year’s top papers collectiv Read more ›
33
The German AI startup Black Forest Labs (BFL), founded by former Stability AI engineers, is continuing to build out its suite of open source AI image generators with the release of FLUX.2 [klein], a new pair of small models — one open and one non-commercial — that emphasizes speed and lower compute requirements, with the models generating images in less than a second on a Nvidia GB200. The [klein] series,... Read more ›
6
Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs through next-token prediction, their technique, called internal reinforcement learning (internal RL), steers the model’s internal activations toward developing a high-level step-by-step solution for the input problem. Ultimately, this could provide a scalable path for creating autonomous agents that... Read more ›
1
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco displaying what looked like gibberish: five strings of random numbers.The numbers were actually AI tokens. Decoded, they led to a coding challenge: build an algorithm... Read more ›
1
Kilo Code, the open-source AI coding startup backed by GitLab cofounder Sid Sijbrandij, is launching a Slack integration that allows software engineering teams to execute code changes, debug issues, and push pull requests directly from their team chat — without opening an IDE or switching applications.The product, called Kilo for Slack, arrives as the AI-assisted coding market heats up with multibillion-dollar acquisitions and funding rounds. But rather than building another... Read more ›
3
Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format. It is the engine behind Anthropic's hit AI agentic programming harness, Claude Code, allowing it to access numerous functions like web browsing and file creation immediately when asked.But there was one problem: Claude Code typically had to "read"... Read more ›
27
Agentic systems and enterprise search depend on strong data retrieval that works efficiently and accurately. Database provider MongoDB thinks its newest embeddings models help solve falling retrieval quality as more AI systems go into production.As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can undermine accuracy, cost, and user trust even when models themselves perform well.The company launched four... Read more ›
0
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.Under the hood, today’s GPUs simply don’t have enough space to hold the Key-Value (KV) caches that modern, long-running AI agents depend on to maintain context. The result is a lot of invisible waste — GPUs redoing work they’ve already done, cloud costs climbing, and... Read more ›
1
The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI model family released late last year — the latter of which includes Nano Banana Pro (also known as Gemini 3 Pro Image), a powerful, fast, and flexible image generation model that renders complex, text-heavy... Read more ›
10
Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical concern — and a key differentiator. “Agent-to-agent communications is emerging as a really big deal,” G2’s chief innovation officer Tim Sanders told VentureBeat. “Because if you don't orchestrate it, you get misunderstandings, like people speaking foreign languages to... Read more ›
1
Egnyte, the $1.5 billion cloud content governance company, has embedded AI coding tools across its global team of more than 350 developers — but not to reduce headcount. Instead, the company continues to hire junior engineers, using AI to accelerate onboarding, deepen codebase understanding, and shorten the path from junior to senior contributor. The approach challenges a dominant 2025 narrative that automation will replace developers, showing instead how enterprises are... Read more ›
0
In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" (asking the model to think step-by-step and often, show those "reasoning traces" to the user), "Emotional Blackmail" (telling the model its career depends on the answer, or that it is being accused of sexual misconduct), and complex multi-shot prompting frameworks.But... Read more ›
33
Egnyte, the $1.5 billion cloud content governance company, has embedded AI coding tools across its global team of more than 350 developers — but not to reduce headcount. Instead, the company continues to hire junior engineers, using AI to accelerate onboarding, deepen codebase understanding, and shorten the path from junior to senior contributor. The approach challenges a dominant 2025 narrative that automation will replace developers, showing instead how enterprises are... Read more ›
0
When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static information. This happens millions of times per day. Each lookup wastes cycles and inflates infrastructure costs. DeepSeek's newly released research on "conditional memory" addresses this architectural limitation directly. The work introduces Engram, a module that separates static pattern retrieval from dynamic reas Read more ›
0
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, drafting documents, and taking action on behalf of employees.The new Slackbot, now generally available to Business+ and Enterprise+ customers, is Salesforce's most aggressive move yet to position Slack at the center of the emerging... Read more ›
0
In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves complicated optimization problems — and a more difficult and perhaps telling challenge than benchmarks like HumanEval, which mostly test the ability to write isolated functions, and which many AI models and agents now regularly pass with ease ("benchmark saturation"). Sakana's accomplishment with ALE-Agent... Read more ›
7
Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways."What's your return policy?," "How do I return something?", and "Can I get a refund?" were all hitting our LLM separately, generating nearly identical responses, each incurring full API costs.Exact-match caching, the obvious first solution, captured only... Read more ›
0
Nvidia's Vera Rubin NVL72, announced at CES 2026, encrypts every bus across 72 GPUs, 36 CPUs, and the entire NVLink fabric. It's the first rack-scale platform to deliver confidential computing across CPU, GPU, and NVLink domains.For security leaders, this fundamentally shifts the conversation. Rather than attempting to secure complex hybrid cloud configurations through contractual trust with cloud providers, they can verify them cryptographically. That’s a critical distinction that matters when... Read more ›
0
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself.The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users, positioning Anthropic to compete not... Read more ›
0
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7% 10 |
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Android Authority
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Wired
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19.01.2026 16:35
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