找到 1368 篇相关文章
Artificial intelligence (AI) makes all code write-only,. It’s too dense to read, and tests define the behaviour and become the documentation. Code is also disposable; it becomes easier to rewrite than to debug. Humans can't review AI-generated code at scale. Intent decouples from implementation; developers should focus on creativity. By Ben Linders
Each day, an airline transports tens of thousands of passengers on hundreds of flights. Often these are not straightforward point-to-point routes, with passengers requiring multiple connections. The airline can consider potentially hundreds of variables to price each of these journeys: demand, season, time of day, current events, global markets, and competitor airline activity to name…
Without a rescue, NASA's Swift Observatory is expected to reenter the atmosphere later this year.
During a recent visit to Generalist AI, I watched a robotic arm improvise and use a banana as a tool.
Anthropic announced last week it would include invisible watermarks in AI-generated content to comply with new EU rules. Within hours, overrides were being touted online.
The early website Hot or Not taught its users to rank people at scale. Twenty-six years later, dating apps are trying to escape the culture the site helped create.
Flock’s surveillance cameras have already sparked outrage. WIRED reconstructed its next-generation AI system, already in use by some police, to confirm it goes much further than tracking license plates.
If rolled out, the feature would use the social media service’s TikTok Pay offering, which is already available in Southeast Asia for TikTok Shop purchases.
Study finds X algorithm prioritizes ragebait that disproportionately impacts Democrats
The ChatGPT maker says its upcoming Astra model may have reached “critical” cyber capabilities, prompting it to halt a significant number of training runs while it tightens internal safeguards.
This is the latest large-scale DDoS attack to hit the social networking site this year.
Divine now has more than 2 million videos from Vine's original archive.
Flock em Wisconsin: por que 200 cidades derrubaram as câmeras colaborativas e o que fazer agora Introdução Em menos de um ano, a promessa de “vigilância democrática” da startup Flock virou manchete de retirada massiva: mais de 200 municípios de Wisconsin removeram os dispositivos instalados pelos próprios moradores. Falhas de privacidade, vazamento de imagens e retorno financeiro bem abaixo do esperado foram o gatilho de uma revolta que ainda ecoa nos fóruns de segurança pública. Este artigo prático mostra o que aconteceu , como a tecnologia funciona , quais foram os erros críticos e, principalmente, o que municípios, desenvolvedores e cidadãos podem fazer para evitar outro desastre . 1. Como a Flock operava (e onde estava o ponto fraco) Camada O que a Flock oferecia Problema crítico Hardware Câmeras IP de 1080p, custo médio US$ 45, instaladas em postes ou residências. Firmware aberto, sem assinatura digital – facilitava modificação mal‑intencionada. Conectividade Wi‑Fi ou rede celular 4G via SIM pré‑pago. Dados trafegados em HTTP sem TLS em 30 % das unidades. Armazenamento Cloud da própria Flock (AWS S3) com retenção de 90 dias. Criptografia “em repouso” apenas com chaves gerenciadas pela empresa; acesso interno ilimitado. Analytics IA de detecção de movimento e reconhecimento de objetos (pessoas, veículos). Modelo treinado com imagens públicas, mas sem anonimização – violava a Lei de Privacidade de Dados de 2022 (Wisconsin). Dashboard Portal web para gestores municipais visualizarem fluxos em tempo real. Falta de auditoria de logs; permissões de leitura concedidas a todos os usuários do portal. Exemplo de configuração vulnerável (arquivo flock_camera.conf ) # Configuração padrão enviada a todos os dispositivos [network] wifi_ssid = "FlockPublic" wifi_password = "default123" ; senha padrão nunca alterada [security] tls_enabled = false ; HTTP puro auth_token = "abcdef123456" ; token fixo, reutilizado em milhares de câmeras [storage] bucket = "flock-data-wi" encrypti
AI companies like Anthropic and OpenAI regularly publish reports on how people are using products like Claude and ChatGPT, but they only release the data they want us to see, AI researchers say. “There is no independent source to corroborate it,” says Anka Reuel, a Computer Science PhD candidate at the Stanford Trustworthy AI Research…
The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chips they run on. Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon. …
Z.ai’s latest AI model release could help companies secure their systems—or find its way into the hands of hackers.
The company wants users to be able to watch and listen to conversations.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Flock, the police-tech giant known for its network of some 120,000 automatic license plate readers around the US, announced some changes to its platform last Thursday. The updates are meant to prevent…
Reddit is beginning to test video and audio versions of popular posts, allowing users to watch or listen to Reddit stories instead of just reading them.
SpaceXAI has introduced Grok Bot, a system of persistent AI agents that operate on dedicated cloud computers and can interact with websites, applications, inboxes, and other tools. By Daniel Dominguez