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MCP & tool use

How models connect to the outside world: the MCP ecosystem, function calling and tool integrations.

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Jan 15, 2025Wednesday

OpenAI News

Partnering with Axios expands OpenAI’s work with the news industry

OpenAI announced a content partnership with Axios and funding to expand Axios Local into 4 U.S. cities. OpenAI says it now works with nearly 20 media organizations, covering 160+ outlets, hundreds of brands, and 20+ languages. ChatGPT Search shows select summaries, excerpts, citations, and source links from partners; the post does not disclose deal value or Axios-specific technical terms.

Why it matters: This passes HKR-K and HKR-R: OpenAI gives concrete scope numbers and a specific Search distribution mechanism. It stays near the featured floor because the post is still partnership PR, and the grant size plus technical terms are not disclosed.

Dec 17, 2024Tuesday

OpenAI News

OpenAI o1 and new tools for developers

OpenAI released o1 in the API, updated the Realtime API, added Preference Fine-Tuning, and shipped beta Go/Java SDKs; o1 is rolling out first to usage tier 5 developers. Disclosed details include 60% fewer reasoning tokens than o1-preview on average, and a 60% GPT-4o audio price cut in Realtime API to $40/1M input and $80/1M output tokens. The key shift is production support for function calling, Structured Outputs, developer messages, vision, and a reasoning_effort parameter; the post is truncated, so some GPT-4o mini realtime pricing details are not disclosed here.

Why it matters: This is a substantive OpenAI developer release: o1 reaches the API with function calling, Structured Outputs, vision, and developer messages, which materially improves production readiness. HKR-H/K/R all pass; the excerpt includes concrete token and pricing data, but later GPT-4o

Dec 5, 2024Thursday

OpenAI News

Introducing ChatGPT Pro

OpenAI launched ChatGPT Pro at $200 per month, with unlimited access to OpenAI o1, o1-mini, GPT-4o, Advanced Voice, and a higher-compute o1 pro mode. The post specifies a stricter 4/4 reliability metric, where a question counts only if the model answers correctly in all four attempts, but it does not disclose concrete quotas or latency figures. The key signal is compute tiering: longer reasoning time is now a paid product feature.

Nov 21, 2024Thursday

OpenAI News

Advancing red teaming with people and AI

OpenAI published 2 papers on Nov 21, 2024, outlining its external human red teaming process and a new automated red teaming method. The post discloses 3 concrete design choices for external testing—threat-model-based team selection, versioned model access, and structured feedback via API or ChatGPT interfaces—but this excerpt does not fully disclose the automated method's metrics or results.

Why it matters: HKR-K carries this story: OpenAI describes 2 papers and at least 3 reusable human red-team design choices. HKR-R also passes because safety and eval teams can apply the workflow; HKR-H is weaker, and the excerpt does not fully disclose automated-red-team results, so this sits at

Oct 31, 2024Thursday

OpenAI News

Introducing ChatGPT search

OpenAI launched ChatGPT search on Oct. 31, 2024 for Plus, Team, and SearchGPT waitlist users, adding web answers with source links inside ChatGPT. It can trigger web search automatically or manually, shows a Sources sidebar, and uses a fine-tuned GPT-4o post-trained with distilled outputs from o1-preview. The shift to watch is distribution: search is folded into chat, not a separate search engine hop.

Why it matters: This is a same-day OpenAI product launch, not a minor feature tweak; search is merged into the chat UI, so HKR-H/K/R all pass. The post confirms source-linked web answers and launch conditions, and the move hits search distribution directly, which pushes it to P1.

Oct 24, 2024Thursday

OpenAI News

OpenAI’s approach to AI and national security

After the White House issued an AI National Security Memorandum on October 24, 2024, OpenAI published a framework for national security partnerships and said each use case goes through formal review by its Product Policy and National Security teams. The post names 3 existing examples: DARPA cyber defense work, USAID using ChatGPT to cut administrative burden, and bioscience collaboration with Los Alamos National Laboratory; it does not disclose pricing, model versions, or contract size. The key signal is the boundary: OpenAI says its policies ban uses that harm people, destroy property, or develop weapons, while it explores research, logistics, translation, summarization, and civilian-harm mitigation use cases with the U.S. and allies.

Why it matters: This is not a product launch, so HKR-H is weak. HKR-K and HKR-R pass on the concrete review process, 3 existing projects, and explicit weapons bans, but missing contract scale, model versions, and outcome data keep it at the low end of featured.

Oct 8, 2024Tuesday

OpenAI News

OpenAI and Hearst Content Partnership

OpenAI said on October 8, 2024 it partnered with Hearst to bring content from 20+ magazine brands and 40+ newspapers into ChatGPT and other products. The post says ChatGPT has 200 million weekly users and Hearst content will include citations and direct links; Hearst businesses outside magazines and newspapers are excluded. The key point is licensed publisher content entering the product retrieval layer, not a generic brand announcement.

Oct 3, 2024Thursday

OpenAI News

Introducing canvas, a new way to write and code with ChatGPT

OpenAI launched the canvas beta on October 3, 2024 for ChatGPT Plus and Team users, adding a GPT-4o-based workspace for writing and coding beyond chat. The post says canvas can auto-trigger or open via “use canvas,” supports targeted edits, version restore, and shortcuts like code review and bug fixing. The key signal is model training: across 20+ internal evals, trigger accuracy reached 83% for writing and 94% for coding, targeted edits beat baseline by 18%, and comment accuracy and quality improved by 30% and 16%.

Oct 2, 2024Wednesday

OpenAI News

New funding to scale the benefits of AI

OpenAI said it raised $6.6B at a $157B post-money valuation. The post says the money will fund frontier AI research, more compute, and product tools; ChatGPT has over 250M weekly users. The investor list, ownership terms, and added compute scale are not disclosed.

Why it matters: Official OpenAI funding post with hard numbers: $6.6B, $157B post-money, and 250M weekly ChatGPT users. HKR-H/K/R all pass because the scale is newsy, the facts are concrete, and the story speaks directly to the capital-compute race; missing investor and structure details keep it

Oct 1, 2024Tuesday

OpenAI News

Prompt Caching in the API

OpenAI added automatic prompt caching to GPT-4o, GPT-4o mini, o1-preview, and o1-mini API models, giving a 50% discount on recently reused input prefixes. Caching starts at 1,024 tokens and grows in 128-token increments; caches are often cleared after 5-10 minutes of inactivity and always within 1 hour of last use. The field to watch is cached_tokens in the API usage response.

Why it matters: A substantive OpenAI API update: not a new model, but it ships a 50% input discount, a 1,024-token threshold, 128-token cache steps, and cached_tokens telemetry, so HKR-H/K/R all pass. It is highly relevant to builder cost and latency, strong enough for featured, but not a same‑y

OpenAI News

Model Distillation in the API

OpenAI launched an API distillation workflow on October 1, 2024, letting developers use outputs from GPT-4o and o1-preview to fine-tune cheaper models such as GPT-4o mini. The suite includes Stored Completions, Evals in beta, and fine-tuning; setting store:true auto-saves input-output pairs with no added latency, per the post. Pricing includes 2M free GPT-4o mini training tokens per day and 1M for GPT-4o through October 31; Evals are free up to 7 runs per week through year-end if shared with OpenAI.

Sep 26, 2024Thursday

OpenAI News

Upgrading the Moderation API with OpenAI's new multimodal moderation model

OpenAI released omni-moderation-latest on September 26, 2024, a GPT-4o-based Moderation API model for text and image inputs that is free for all developers. It adds illicit and illicit/violent text categories, supports image moderation in 6 subcategories, and improves 42% on an internal 40-language eval, with gains in 98% of languages tested.

Why it matters: Official OpenAI developer product update with strong HKR-K: new moderation classes, image coverage, and a concrete +42% result across 40 languages. HKR-R also lands because moderation and compliance affect shipping teams directly; HKR-H is weak, so this sits at the low end of the

Aug 20, 2024Tuesday

OpenAI News

OpenAI partners with Condé Nast

OpenAI said on August 20, 2024 that it partnered with Condé Nast to surface content from brands such as Vogue, The New Yorker, and Wired in ChatGPT and the SearchGPT prototype. The post names at least nine Condé Nast brands and says SearchGPT links directly to source stories; it does not disclose deal value, licensing scope, revenue terms, or launch regions.

Why it matters: This is a meaningful OpenAI licensing/distribution move: ChatGPT and SearchGPT will show Condé Nast content with direct links. HKR-K and HKR-R pass, but HKR-H is limited because deal terms, rollout scope, and revenue share are undisclosed, so it lands at low-featured.

Aug 16, 2024Friday

OpenAI News

Disrupting a covert Iranian influence operation

OpenAI said it banned ChatGPT accounts tied to the Iranian influence operation Storm-2035 in August 2024 after they generated election and geopolitics content for X, Instagram, and five websites. The company identified 12 X accounts and one Instagram account; on Brookings' Breakout Scale, the operation ranked at the low end of Category 2, with most posts getting few or no likes, shares, or comments. What matters is the workflow: the models were used for long articles, comment rewrites, and English-Spanish posting, not for meaningful audience reach.

Why it matters: HKR-H lands on the covert election-influence angle; HKR-K lands on the account counts, sites, languages, and Breakout Scale 2. HKR-R lands via model-abuse governance, but the score stays at 76 because OpenAI reports no meaningful audience reach.

Aug 6, 2024Tuesday

OpenAI News

Introducing Structured Outputs in the API

OpenAI released Structured Outputs on Aug 6, 2024, making model outputs conform to developer-supplied JSON Schemas; `gpt-4o-2024-08-06` scored 100% on complex schema-following evals versus under 40% for `gpt-4-0613`. The feature is enabled with `strict: true` in function calling and works on tool-supporting models including `gpt-4-0613`, `gpt-3.5-turbo-0613`, and later. The key shift is constrained decoding plus schema training, not just valid JSON from JSON mode.

Why it matters: HKR-H/K/R all pass: OpenAI moves from 'valid JSON' to strict schema adherence and publishes a 100% vs <40% reliability gap. I keep it at 84 because this is a high-value API capability update, not a new frontier-model launch or company-level industry event.

Jul 25, 2024Thursday

OpenAI News

SearchGPT is a prototype of new AI search features

OpenAI began testing the SearchGPT prototype on July 25, 2024 with a small group of users and publishers. It answers with real-time web information, named inline citations, source links in a sidebar, and follow-up queries in shared context. The key detail is scope: this is a temporary prototype planned for future ChatGPT integration; the post does not disclose the model, rollout size, or commercial timeline.

Why it matters: Scored in the 85–94 band: OpenAI is testing a standalone AI-search prototype with live web answers and publisher participation, which is a same-day write for the industry. HKR-H/K/R all pass, but key rollout details, model identity, and commercialization timing are not disclosed.

Jul 18, 2024Thursday

OpenAI News

New compliance and administrative tools for ChatGPT Enterprise

OpenAI on July 18, 2024 launched an Enterprise Compliance API, eight third-party compliance integrations, and SCIM user management for ChatGPT Enterprise. The post confirms timestamped exports for conversations, files, GPT configs, memories, and users, plus support for Okta, Microsoft Entra ID, Google Workspace, and Ping; details on “Expanded GPT controls” are not disclosed in the provided body.

May 13, 2024Monday

OpenAI News

Introducing GPT-4o and more tools to ChatGPT free users

OpenAI says it is bringing GPT-4o and more tools to ChatGPT free users, with free-tier access as the stated condition. Only the title is available; the post does not disclose tool list, usage limits, rollout timing, or regions.

Why it matters: This is a high-weight OpenAI product update, with HKR-H/K/R all passing: strong access hook, a concrete new availability fact, and clear competitive resonance. I stopped below the top of the band because the body is empty: tools, quotas, regions, and rollout conditions are notdis

Apr 24, 2024Wednesday

OpenAI News

GPT-4 API general availability and deprecation of older models in the Completions API

OpenAI says the GPT-4 API is generally available and older models in the Completions API will be deprecated. Only the title confirms these two facts; the post body is empty and does not disclose scope, timeline, or affected model names. The real issue to watch is migration cost: this is both an API and model transition.

Why it matters: This is a meaningful OpenAI platform update with strong HKR-K and HKR-R: GPT-4 API GA plus Completions deprecations affects developers immediately. It stays below p1 because the body is absent, so rollout scope, deadlines, and the affected model list are not disclosed.

Feb 13, 2024Tuesday

OpenAI News

Memory and new controls for ChatGPT

OpenAI says ChatGPT is getting memory and new controls, with 2 changes disclosed in the title. The body is empty, so default state, opt-out scope, and user-tier availability are not disclosed. The key issue is control granularity; the title alone is not enough to judge product impact.

Why it matters: An official OpenAI post confirms ChatGPT memory plus new controls, so HKR-H and HKR-R pass on a core product readers already use. HKR-K fails because the body does not disclose defaults, rollout scope, user tiers, or control granularity, keeping this at the low featured edge.