Socket just closed a $60 million Series C at a billion-dollar valuation.
If you're using Gemini CLI — the open-source, Apache 2.0 terminal tool that Google launched to considerable developer goodwill — you have 26 days left.
A month ago, HuggingFace open-sourced an agent called ml-intern.
Neuphonic dropped NeuTTS Air a few weeks ago and the synthetic media crowd barely blinked — another TTS model, another Hugging Face card, another demo page.
Sometime around May 7, an email landed in the inbox of every Great Expectations Cloud customer.
Whenever a new programming language drops, the first question is always "what problem does this solve that Rust/Go/Zig doesn't?
Debugging a traditional API is straightforward — you get a stack trace, a line number, maybe a log dump.
On May 8, Matt Mullenweg pulled real-time collaboration from WordPress 7.0 — twelve days before the scheduled release.
Every developer I know has the same story by now.
Most open model launches follow a predictable script: bigger parameters, higher benchmark scores, a claim about beating GPT-something on MMLU.
Every npm install you ran this morning depended on infrastructure that's losing money.
SAP announced last Sunday that it's acquiring Dremio, the Iceberg-native lakehouse company that co-founded Apache Polaris and has fingerprints all over...
OpenAI open-sourced Symphony ten days ago, and most coverage fixated on the "6x more merged PRs" headline.
Your GPU spends most of its inference time shuttling weights between VRAM and compute cores, not actually doing math.
Sixty percent of the time, users picked Fish Audio S2 Pro over ElevenLabs V3. Not in a curated demo.
Every multimodal agent demo I've seen follows the same script: chain a vision model to a language model, bolt on Whisper for audio, pray the latency...
Meta poured $14.
For a few years now, the pattern has been the same: a new music AI drops, you open the web app, burn through your free credits in twenty minutes, and then...
An open-source model just claimed the top spot on SWE-Bench Pro — the benchmark that's become the de facto measuring stick for agentic software engineering.
The Samsung Galaxy S25's Adreno 830 GPU pushes roughly 12 TFLOPS of FP16 compute.