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451 stories · page 29 of 51
SecurityWhatsApp replaced the six-digit PIN with a real passwordThe second step at login can now be a long password with letters and symbols instead of six digits. Android also gets more information about calls from unknown numbers, and passkeys are no longer limited to one.InfraMeta unveils MTIA 300, its first chip built to train modelsMTIA 300 is Meta's first accelerator built to train models, not just serve answers from finished ones. It targets recommendation and ranking systems, with the network built straight into the silicon. By Meta's own numbers, total communication time drops 3.9x versus an equivalent GPU cluster.InfraMeta wrote its own AI network protocol and opened it through the Open Compute ProjectMetaRoCE is a transport protocol written from scratch for the conversations between thousands of AI accelerators over plain Ethernet. By the company's own numbers, it keeps about 86 percent of throughput even at one percent packet loss. The spec, the reference code and the compliance test are going public.InfraNVIDIA reports 30x more agentic throughput per megawatt, but the number still awaits independent reviewNVIDIA published its own measurements for Vera Rubin NVL72: 30 times more agentic throughput per megawatt and 35 times lower cost per token versus the previous generation. The numbers are theirs, on a workload they ran themselves, and by the company's own words still await review from SemiAnalysis.InfraGroq 3 LPX enters production, built together with NVIDIA's platformA rack-level inference accelerator, co-designed with Vera Rubin NVL72. It combines GPUs with dedicated fast-response modules and handles token generation in agentic systems. Already deploying at Nebius, CoreWeave and SpaceXAI.BuildersJetBrains' Junie now runs entirely on your Mac, no cloud, no tokensJetBrains' code agent now runs locally. No credits, no quota, the code never leaves the machine. The price is the hardware: an M5 chip and at least 64 gigabytes of memory.BuildersJetBrains picked the older Qwen 3.6 over 3.8 because the newer model is slower on a laptopBehind local Junie sits a string of engineering trade-offs: a quantized model, reasoning turned off, remembered context. The most interesting one is the model choice. The newer Qwen 3.8 was dropped because, with reasoning on, it churns out around five times more tokens.BuildersGPT-5.6 lands in AWS's Kiro, and the headline number is costThe whole GPT-5.6 family, that is Sol, Terra and Luna, now works inside Kiro, AWS's spec-driven coding agent. OpenAI and AWS tuned the environment together. The number they put front and center isn't about quality. It's about cost.
451 stories