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Meta will spend up to $145B on AI this year, and Zuckerberg says the agents are behind
Zuckerberg told a July 2 Meta town hall that AI agent progress hasn't accelerated as expected, even as the company plans up to $145B on AI in 2026.
AI
Artificial intelligence news, model releases, and lab announcements.
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GitHub ran four frontier models through Copilot's harness. None won every task.
GitHub benchmarked Copilot's agent harness against Claude Code and Codex CLI on five tests. The token savings are real, and the best model depends on the task.
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A Dartmouth AI textbook is tied to final-exam gains of up to 1.30 standard deviations
Phosphor, an interactive textbook that grades practice with Claude, was tied to a 0.71 to 1.30 SD final-exam gain in a Dartmouth statistics course.
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Claude Sonnet 5: cheaper agents on paper, until you count the new tokenizer's tokens
Anthropic's Sonnet 5 lands as the default free model with near-Opus quality at a lower price, but a new tokenizer quietly inflates the English bill by 1.4x.
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A Brown professor caught 40 of 86 students cheating with AI. Now he wants take-home exams gone.
A Brown economist found AI fraud across a midterm. The scandal exposes how routine AI cheating has become, and why detectors can't reliably catch it.
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OpenAI built its own AI chip with Broadcom. The target is Nvidia's inference margins.
Jalapeño is OpenAI's first custom inference processor, co-designed with Broadcom. Here's what a purpose-built inference ASIC actually buys you, and who else is doing it.
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Google reportedly delays Gemini 3.5 Pro to July to keep tuning the model
Google has pushed its frontier Gemini 3.5 Pro to July while Flash already ships, according to Business Insider. Here's what slipped and why it matters.
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Anthropic wants Congress to punish Alibaba over 28.8 million Claude queries
Anthropic says Alibaba ran the largest distillation campaign it has caught, using 25,000 fake accounts to copy Claude. Here is what that claim actually means.
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A 2,000-year-old scroll was read end to end. No one ever unrolled it.
The Vesuvius Challenge read a whole carbonized Herculaneum scroll using CT scans and machine learning. Here is how the ink-detection pipeline works.
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OpenAI is now using GPT-5.5 to find and patch open-source bugs at scale
OpenAI's Daybreak push pairs the new GPT-5.5 default model with GPT-5.5-Cyber, a tool that finds, validates, and patches software flaws. Here's what it does and the catch.
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GLM-5.2 was trained on Huawei chips, not Nvidia. The open weights beat GPT-5.5 on coding.
Zhipu AI's GLM-5.2 is a free-to-download model trained without Nvidia silicon. Here's what the benchmarks claim and why developers should care.
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Anthropic bought Stainless, the SDK factory OpenAI and Meta also ran on
Anthropic acquired Stainless for a reported $300M and is winding down the hosted SDK generator that OpenAI, Meta, Google, and Cloudflare relied on.
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Days after opening Fable 5 to the public, a US government order forced Anthropic to pull it
A Commerce Department export directive forced Anthropic to disable Fable 5 and Mythos 5 for all users, days after opening Fable 5 to the public.
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Running a coding agent fully on Apple Silicon, no cloud, is now an off-the-shelf stack
A popular Hacker News how-to walked through a fully local coding agent on Apple Silicon. Here's the realistic 2026 stack: runner, model, and harness.
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Claude Fable 5 is Anthropic's first public Mythos-class model. It tops SWE-Bench Pro at 80.3%.
Claude Fable 5 hits 80.3% on SWE-Bench Pro and ships on Bedrock and Copilot at $10/$50 per million tokens, free on paid plans only through June 22.
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OpenAI added a Lockdown Mode to ChatGPT to blunt prompt-injection attacks
OpenAI shipped Lockdown Mode in ChatGPT to cut off the data-exfiltration step of prompt-injection attacks. Here's what it actually restricts and who should turn it on.
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OpenAI is putting Codex in every ChatGPT app, with six business plugins for non-coders
On June 2 OpenAI said Codex is coming to the ChatGPT app everywhere within weeks, and shipped six role-specific plugins for sales, analytics, design, and finance teams.
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Stanford tested AI against law professors. The pros picked the AI 75% of the time.
A blinded Stanford Law study had 16 professors grade AI tutoring answers against their own. Here's what the 75% win rate actually measures, and what it doesn't.