Skip to content

Models that plan, call tools and finish multi-step tasks on their own — from Claude Code and Manus to agent frameworks and benchmarks.

1,465 picksRelated topicsMCP & tool useAI codingReasoning

Latest picks

861–880 of 1,465

May 20Wednesday

AI HOT (Curated Pool)

Google I/O Announces Multiple Gemini Updates

Google announced multiple Gemini updates at Google I/O, including a new experience design using neural expression technology, upcoming agent features with Daily Brief and Gemini Spark, plus Gemini Omni and 3.5 Flash; the RSS snippet does not disclose release dates, model parameters, pricing, or benchmark results.

Why it matters: HKR-H/K/R all pass: Google I/O brings concrete Gemini hooks in Omni, 3.5 Flash, and agents, with clear competitive resonance. Missing launch timing, specs, and pricing keep it in the 78–84 band.

AI HOT (Curated Pool)

Gemini 3.5 Released: A New Model Family Combining Intelligence and Action

Google AI Developers announced the Gemini 3.5 model family, saying it combines intelligence with action capabilities; the post does not disclose parameters, benchmarks, pricing, availability, or context window details.

Why it matters: HKR-H and HKR-R pass: an official Gemini 3.5 family launch has flagship-model pull and competitive resonance. HKR-K fails because the post gives no params, benchmarks, pricing, or context window, so this stays below the 85+ band.

AI HOT (Curated Pool)

Empirical Research Assistant ERA: From Nature Publication to Computational Discovery

Google Research published its Gemini-based Empirical Research Assistant in Nature and opened early access through the Google Labs trusted tester program.

Why it matters: HKR-H/K/R all pass: Google moves Gemini-based ERA from a Nature paper to a Labs trusted-tester trial. Score stays at 78 because the provided text lacks metrics, benchmark setup, or reproducible workflow details.

AI HOT (Curated Pool)

Gemini 3.5 Series Launches With Stronger Agent and Coding Performance

Google AI launched the Gemini 3.5 series with Gemini 3.5 Flash first, stating it targets agent and coding performance; the post does not disclose parameters, pricing, benchmark scores, or context window size.

Why it matters: HKR-H/K/R all pass: Google’s Gemini 3.5 series is a first-tier model update. Sparse details on price, context, and benchmarks keep it at the low end of the must-write band.

AI HOT (Curated Pool)

Google Search gets its biggest redesign in 25 years with AI-driven interaction changes

Google announced at I/O 2026 the biggest Search redesign in 25 years, powered by Gemini 3.5 Flash, with AI Mode exceeding 1 billion monthly active users and query volume doubling each quarter.

Why it matters: Google Search is an internet entry-point product; 1B+ AI Mode MAU and quarterly query doubling put this beyond a routine feature update. HKR-H/K/R all pass, so it lands in p1.

AI HOT (Curated Pool)

Google releases Gemini 3.5 Flash with 55 intelligence score

Google released Gemini 3.5 Flash, raising its intelligence score by 9 points to 55, exceeding 280 output tokens per second, and increasing operating cost by 5.5 times versus the previous generation.

Why it matters: A Google Gemini 3.5 Flash release is a top-lab model update, backed by Artificial Analysis numbers for speed, intelligence, and cost. HKR-H/K/R all pass, with the 5.5x cost jump making it more than a routine launch.

TechCrunch · AI

With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots

Google launched Gemini 3.5 Flash at its annual developer conference, describing it as its strongest coding and agentic AI model yet; the RSS snippet says it can autonomously execute complex tasks and build software from scratch, but the post does not disclose parameters, pricing, or context window.

Why it matters: HKR-H/K/R all pass: a Google model release with an agent-first and code-building claim is same-day material. Missing parameters, pricing, and context window keep it at the low end of the must-write band.

The Verge · AI

Google wants to compete with Anthropic’s Mythos

Google invited select experts at I/O to test the CodeMender API, an AI agent for code security that flags and fixes vulnerabilities; the RSS snippet does not disclose launch timing, pricing, benchmark results, or concrete details about Anthropic’s Claude Mythos Preview.

Why it matters: HKR-H/K/R all pass, but the post only confirms closed expert testing and the flag/fix mechanism; availability, pricing, and eval results are not disclosed, so this stays at the featured threshold.

TechCrunch · AI

Google Search as You Know It Is Over

Google is changing Search from a link list into an AI experience with conversational answers, autonomous agents, and interactive interfaces; the RSS snippet does not disclose a rollout timeline, publisher traffic impact numbers, or product parameters.

Why it matters: HKR-H/K/R all pass: Google is recasting Search around AI answers, agents, and interactive UI. The post lacks rollout timing and traffic numbers, but this is still a major Google core-product update.

AI HOT (Curated Pool)

Google releases Gemini 3.5 Flash for complex agent workflows

Google introduced Gemini 3.5 Flash at Google I/O for long-running agent workflows; it outscored 3.1 Pro on Terminal-Bench and MCP Atlas, runs up to 4x faster than other frontier models, and reaches up to 12x speed gains in Google Antigravity.

Why it matters: HKR-H/K/R all pass: Google launched Gemini 3.5 Flash for long-horizon agents with benchmark and speed claims. This is a same-day major model update, below industry-shaking tier.

The Verge · AI

Gmail is going to start talking to you

Google is launching Gmail Live for Gmail, letting users tap a search-bar icon and ask voice questions about inbox content; a press demo retrieved school event dates, locations, and an upcoming Detroit trip from the employee’s email.

Why it matters: HKR-H/K/R pass: Gmail Live adds voice email queries inside a mass-market Google surface. The post gives demo cases, but no launch date, pricing, or model details, so it stays at the lower featured band.

The Verge · AI

Google Search is getting its biggest changes ever

Google showed a redesigned Search box at I/O 2026, using Gemini 3.5 Flash to connect AI Overviews with AI Mode; the RSS snippet says natural-language queries will reliably show AI Overviews, but the post does not disclose rollout timing.

Why it matters: HKR-H/K/R all pass: Google is changing Search’s core input with Gemini 3.5 Flash and linking AI Overviews to AI Mode. Rollout timing is missing, so the score stays at 86, but this is still a same-day story for AI pros.

The Verge · AI

Would You Let Robots Spend Your Money? Google Is Betting on It

Google unveiled an AI shopping Universal Cart at I/O that lets users add products while browsing Search or chatting with Gemini, then check out through Google; the RSS snippet says future support includes YouTube and Gmail, while pricing, rollout timing, and retailer coverage are not disclosed.

Why it matters: HKR-H/K/R all pass: the hook is AI agents spending money, the new fact is Search/Gemini checkout via Google, and the nerve is agent payment safety. This is a mid-weight Google I/O product update, so 76, not P1.

TechCrunch · AI

Agentic app coding gets an upgrade with Google’s release of Android CLI

Google released Android CLI for AI coding agents, letting platforms such as Claude Code and OpenAI Codex build Android apps from the command line; the RSS snippet does not disclose version numbers, release timelines, pricing, or performance data.

Why it matters: HKR-H/K/R all pass, but the body lacks version, timeline, and performance data. Google plus Android plus agentic coding clears the featured line, not the must-write band.

TechCrunch · AI

Google launches Antigravity 2.0 with updated desktop app and CLI tool at I/O 2026

Google launched Antigravity 2.0 with an updated desktop app and CLI tool, and introduced a $100 AI Ultra plan that gives users 5x the usage limit of AI Pro; the post does not disclose the desktop app or CLI feature details.

Why it matters: HKR-H/K/R pass, but the post does not disclose concrete desktop or CLI capabilities, so it stays below 78. Google I/O plus the $100 plan and 5x quota clear the featured bar.

TechCrunch · AI

Google introduces Gemini Spark, a 24/7 agentic assistant with Gmail integration, at I/O 2026

Google introduced Gemini Spark at I/O 2026 as a 24/7 agentic personal assistant with Gmail integration; the RSS snippet says it uses Gemini base models and an agentic harness from Google Antigravity, but the post does not disclose pricing, rollout timing, or supported Gmail actions.

Why it matters: HKR-H/K/R all pass: Google used I/O to launch a 24/7 Gmail-linked agentic assistant, a core-entry product update. Price, rollout scope, and safety controls are not disclosed, so it stays at the low end of the 85+ band.

AI HOT (Curated Pool)

I/O 2026: Welcome to the autonomous Gemini era

Google announced at I/O 2026 that Gemini is moving into an autonomous agent phase, with the post saying it can manage email, schedule calendar items, and generate reports automatically, but it does not disclose model parameters, launch timing, or pricing.

Why it matters: HKR-H/K/R all pass: Google frames Gemini as an office agent for email, calendar, and reports. Missing launch timing, price, and model details keeps it in the 78–84 band, below a full major model release.

AI HOT (Curated Pool)

Gemini Spark: 24/7 Autonomous AI Assistant

Gemini Spark runs personal-agent tasks autonomously in the background, including when a user’s phone and laptop are off; the post says it asks for user approval before major actions, but it does not disclose launch timing, pricing, or task scope.

Why it matters: HKR-H/K/R all pass: the off-device autonomous assistant is novel, with a consent mechanism. Missing launch date, pricing, and task scope keep it below the 85 same-day must-write band.

AI HOT (Curated Pool)

Google releases Gemini 3.5 Flash with output speed about 4x GPT-5.5

Google introduced Gemini 3.5 Flash at I/O 2026, with output speed reaching 289 tokens per second, about 4x faster than Claude Opus 4.7 and GPT-5.5 xhigh under the cited comparison.

Why it matters: HKR-H/K/R all pass: Google ships Gemini 3.5 Flash with a 289 tokens/sec claim and 4x speed comparison against GPT-5.5 xhigh. Details on price, context window, and capability limits are not disclosed, so it stays in the low 85-94 band.

AI HOT (Curated Pool)

Google launches Antigravity 2.0 platform, builds an OS in 12 hours

Google announced Antigravity 2.0 at I/O and demonstrated an agent building a runnable operating system from scratch in 12 hours, using 93 parallel sub-agents, more than 15,000 model calls, and 2.6 billion tokens, with API costs under $1,000.

Why it matters: HKR-H/K/R all pass: a Google I/O agent-platform release with concrete demo metrics. The post lacks availability, pricing, and replication details, so it lands in the lower 85–94 band.