In 2025 the artificial‑intelligence industry moved away from grandiose predictions and toward dependable, real‑world applications. While earlier years were dominated by talk of superintelligence and market bubbles, this year saw a focus on reliability, legal scrutiny of training data, and the growing cost of infrastructure. Innovations such as Google’s Veo 3 and the Wan video models demonstrated technical progress, but the broader narrative emphasized tools that work, not miracles. Leia mais →

At a recent industry gathering, Microsoft’s AI chief Mustafa Suleyman dismissed the notion that artificial intelligence can become conscious. He argued that asking whether AI can be self‑aware is the wrong question and that the field should instead concentrate on building useful tools. Suleyman emphasized that AI models operate through transparent mathematical processes—token inputs, attention weights, and probability calculations—without any hidden internal experience. He warned against anthropomorphizing chatbots and urged developers and users to keep expectations realistic, focusing on functionality rather than imagined sentience. Leia mais →

In a recent Ars Live discussion, Ed Zitron warned that the AI boom is inflating a market bubble, largely driven by Nvidia’s growth. He argued that a slowdown in that growth could trigger a burst, potentially leading to a broader market depression as investors reassess the sustainability of tech’s hyper‑growth. Zitron also criticized OpenAI CEO Sam Altman, labeling him a con artist who has misled the market. The conversation highlighted concerns over AI hype, the risk of inflated valuations, and the possible fallout for Silicon Valley if the bubble collapses. Leia mais →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leia mais →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leia mais →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leia mais →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leia mais →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leia mais →