
AI Field Notes collects 15 high-signal items from AI News on Aug 3, 2026. Lead signal: OpenAI’s internal Astra model solved 10 open problems spanning mathematics, quantum complexity, and theoretical computer science, all supported in a…
“two of the most profitable companies ever — reported negative free cash flow last quarter, citing the hundreds of billions being poured into AI infrastructure (this chart puts it in perspective). Meta wasn’t far behind, with cash flow plummeting 91%. But fortunately, the declining cash flow didn’t spook Wall Street.”
two of the most profitable companies ever — reported negative free cash flow last quarter, citing the hundreds of billions being poured into AI infrastructure (this chart puts it in perspective). Meta wasn’t far behind, with cash flow plummeting 91%. But fortunately, the declining cash flow didn’t spook Wall Street.

“two of the most profitable companies ever — reported negative free cash flow last quarter, citing the hundreds of billions being poured into AI infrastructure (this chart puts it in perspective). Meta wasn’t far behind, with cash flow plummeting 91%. But fortunately, the declining cash flow didn’t spook Wall Street.”
two of the most profitable companies ever — reported negative free cash flow last quarter, citing the hundreds of billions being poured into AI infrastructure (this chart puts it in perspective). Meta wasn’t far behind, with cash flow plummeting 91%. But fortunately, the declining cash flow didn’t spook Wall Street.
“This viral prompt helps your chatbot write more like a human. Just upload it before every conversation or permanently add it to your LLM’s instruction file.”
This viral prompt helps your chatbot write more like a human. Just upload it before every conversation or permanently add it to your LLM’s instruction file.
“After launching five months ago, Simile has closed a Series B round with the goal of accurately predicting human decisions at scale. The startup, built by Stanford researchers on their own academic work, has released two models: a foundation model trained on real people, and a confidence model that estimates accuracy.”
After launching five months ago, Simile has closed a Series B round with the goal of accurately predicting human decisions at scale. The startup, built by Stanford researchers on their own academic work, has released two models: a foundation model trained on real people, and a confidence model that estimates accuracy.

“After launching five months ago, Simile has closed a Series B round with the goal of accurately predicting human decisions at scale. The startup, built by Stanford researchers on their own academic work, has released two models: a foundation model trained on real people, and a confidence model that estimates accuracy.”
After launching five months ago, Simile has closed a Series B round with the goal of accurately predicting human decisions at scale. The startup, built by Stanford researchers on their own academic work, has released two models: a foundation model trained on real people, and a confidence model that estimates accuracy.

“With your permission, Gemini Spark can complete online tasks using your logged-in accounts and saved passwords to do things like research flights or hunt for new apartments. See how auto browse works. In a separate update, Google now lets you summon Gemini at any time by pressing the FN key in the macOS Gemini app.”
With your permission, Gemini Spark can complete online tasks using your logged-in accounts and saved passwords to do things like research flights or hunt for new apartments. See how auto browse works. In a separate update, Google now lets you summon Gemini at any time by pressing the FN key in the macOS Gemini app.
“OpenAI’s internal Astra model solved 10 open problems spanning mathematics, quantum complexity, and theoretical computer science, all supported in a 249-page paper. Total estimated token cost was $2,000. Prior to this, none of the problems had seen new progress on their main results in at least a decade. Sam Altman was”
OpenAI’s internal Astra model solved 10 open problems spanning mathematics, quantum complexity, and theoretical computer science, all supported in a 249-page paper. Total estimated token cost was $2,000. Prior to this, none of the problems had seen new progress on their main results in at least a decade. Sam Altman was
“With your permission, Gemini Spark can complete online tasks using your logged-in accounts and saved passwords to do things like research flights or hunt for new apartments. See how auto browse works. In a separate update, Google now lets you summon Gemini at any time by pressing the FN key in the macOS Gemini app.”
With your permission, Gemini Spark can complete online tasks using your logged-in accounts and saved passwords to do things like research flights or hunt for new apartments. See how auto browse works. In a separate update, Google now lets you summon Gemini at any time by pressing the FN key in the macOS Gemini app.

“With your permission, Gemini Spark can complete online tasks using your logged-in accounts and saved passwords to do things like research flights or hunt for new apartments. See how auto browse works. In a separate update, Google now lets you summon Gemini at any time by pressing the FN key in the macOS Gemini app.”
With your permission, Gemini Spark can complete online tasks using your logged-in accounts and saved passwords to do things like research flights or hunt for new apartments. See how auto browse works. In a separate update, Google now lets you summon Gemini at any time by pressing the FN key in the macOS Gemini app.
“OpenAI’s internal Astra model solved 10 open problems spanning mathematics, quantum complexity, and theoretical computer science, all supported in a 249-page paper. Total estimated token cost was $2,000. Prior to this, none of the problems had seen new progress on their main results in at least a decade. Sam Altman was”
OpenAI’s internal Astra model solved 10 open problems spanning mathematics, quantum complexity, and theoretical computer science, all supported in a 249-page paper. Total estimated token cost was $2,000. Prior to this, none of the problems had seen new progress on their main results in at least a decade. Sam Altman was