# forck.live — 23 February – 1 March 2026

> AI lab announcements, news reports and podcasts.

forck.live follows what companies announce about their own products. Press may
corroborate an official story; it never leads and never appears as an item of its
own. A missing date stays missing. A title is the publisher's words — where a
company does not publish in English, an English rendering is listed separately
as `Title in English` and named as this site's translation, never as theirs.

This file is one issue of the weekly archive: every confirmed
first-party announcement of ISO week 2026-W09, 23 February – 1 March 2026, newest
first. The window never moves, so this URL always names the same seven days —
but a post published inside them and detected later is added when it arrives,
so a closed week can still gain entries.

Every entry is one first-party announcement, and carries the same eight fields
in this order before any others:

    Company · Announced · Category · Coverage · Announcement · Group · Source · Record

`Source` is the company's own page the announcement was traced to and `Record`
is this site's page for it. Both are safe to cite.

`Coverage` is a number of outlets, or `not counted` — which means this record
reached no count of its own, never that nobody wrote about it.

`Category` is this tracker's own analysis, and is authoritative wherever it is
stated. `not stated` means either that nothing has analysed the post yet or
that the analysis placed it outside this taxonomy; neither is a verdict about
the announcement.

`Announcement` is whether the post is news of something the company did, rather
than a how-to, a customer story, a changelog listing or a staffing note.

`Group` is which of this record's groups the entry falls in, carried on the
entry itself so it holds where the groups are headings and where they are not.
One of: `models`, `covered`, `announcements`, `routine`.

Anything after `Record` is held detail that only some announcements carry.

- This week's page: https://forck.live/week/2026-W09
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### Cognition — An Early Preview of SWE-1.6 and Research Update

- Company: Cognition (cognition.com)
- Announced: 2026-03-01
- Category: model-update
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://cognition.com/blog/swe-1-6-preview
- Record: https://forck.live/items/7676-an-early-preview-of-swe-1-6-and-research-update
- Subject: Devin / SWE

Cognition shared an early preview of its SWE-1.6 model, which achieves an 11% higher score than SWE-1.5 on SWE-Bench Pro. The company is rolling out early access to a small subset of users to collect feedback for tuning model behavior. The training stack has been improved to run 6x faster than three months ago.

### Vercel — How Avalara turns pipe dreams into patent-pending with v0

- Company: Vercel (vercel.com)
- Announced: 2026-02-28T13:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://vercel.com/blog/How-avalara-turns-pipedreams-into-patent-pending-with-v0
- Record: https://forck.live/items/20741-how-avalara-turns-pipe-dreams-into-patent-pending-with-v0
- Subject: v0 / AI SDK / AI Gateway

Avalara used Vercel's v0 tool to create two patent-pending products in about 60 days, shifting from slide-based concepts to working prototypes built from plain-language descriptions. The company's product and design teams now start directly in v0, reducing handoffs and accelerating iteration.

### Vercel — Gamma builds design-first agents with Vercel

- Company: Vercel (vercel.com)
- Announced: 2026-02-28T13:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://vercel.com/blog/gamma-builds-design-first-agents-with-vercel
- Record: https://forck.live/items/20740-gamma-builds-design-first-agents-with-vercel
- Subject: v0 / AI SDK / AI Gateway

Gamma, a presentation platform, uses Vercel's AI SDK to build and evolve agent architectures for its Gamma Agent conversational editing feature, which launched in October 2025. The company's image pipeline has generated over 1.5 billion images across 60 models and 20 providers, and adding a new image model requires about 30 lines of code. Gamma averages more than 250 deployments per day with a 99 percent success rate, relying on Vercel's preview deployments and serverless functions.

### OpenAI — Our agreement with the Department of War

- Company: OpenAI (openai.com)
- Announced: 2026-02-28T12:30:00+00:00
- Category: partnership-acquisition
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/our-agreement-with-the-department-of-war
- Record: https://forck.live/items/254-our-agreement-with-the-department-of-war
- Subject: GPT / ChatGPT / API

OpenAI announces a contract with the Department of War, detailing safety red lines, legal protections, and deployment of AI systems in classified environments.

### Vercel — Keeping community human while scaling with agents

- Company: Vercel (vercel.com)
- Announced: 2026-02-27T13:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://vercel.com/blog/keeping-community-human-while-scaling-with-agents
- Record: https://forck.live/items/20742-keeping-community-human-while-scaling-with-agents
- Subject: v0 / AI SDK / AI Gateway

Vercel built two agents, Community Guardian and c0, to automate community management tasks such as routing, triage, follow-ups, and research. In the first 23 days, the system handled 4,716 initial responses, revived 1 in 8 ghosted threads, and ran over 1,400 agent operations. The agents were built by a non-engineer using Vercel's AI Gateway, AI SDK, and Workflows.

### Runway — Accelerating Robot Policy Evaluation with General World Models

- Company: Runway (runway.com)
- Announced: 2026-02-27T10:10:10.110000+00:00
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://runway.com/research/accelerating-robot-policy-evaluation
- Record: https://forck.live/items/7895-accelerating-robot-policy-evaluation-with-general-world-models
- Subject: Gen / Aleph

Runway tested GWM-Robotics, a world model for robot policy evaluation, across eight manipulation policies and found a 0.95 correlation between simulated and real-world scores. The model outperforms PolaRiS and can generate up to 30-second rollouts. Runway is building GWM-Robotics with partners including NVIDIA and Berkshire Grey.

### OpenAI — OpenAI and Amazon announce strategic partnership

- Company: OpenAI (openai.com)
- Announced: 2026-02-27T05:30:00+00:00
- Category: partnership-acquisition
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/amazon-partnership
- Record: https://forck.live/items/258-openai-and-amazon-announce-strategic-partnership
- Subject: GPT / ChatGPT / API

OpenAI and Amazon announced a strategic partnership to bring OpenAI's Frontier platform to AWS, expanding AI infrastructure, custom models, and enterprise AI agents.

### OpenAI — Joint Statement from OpenAI and Microsoft

- Company: OpenAI (openai.com)
- Announced: 2026-02-27T05:30:00+00:00
- Category: partnership-acquisition
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/continuing-microsoft-partnership
- Record: https://forck.live/items/257-joint-statement-from-openai-and-microsoft
- Subject: GPT / ChatGPT / API

OpenAI and Microsoft continue to collaborate closely across research, engineering, and product development, building on years of deep collaboration and shared success.

### OpenAI — Scaling AI for everyone

- Company: OpenAI (openai.com)
- Announced: 2026-02-27T05:30:00+00:00
- Category: funding-company-news
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/scaling-ai-for-everyone
- Record: https://forck.live/items/256-scaling-ai-for-everyone
- Subject: GPT / ChatGPT / API

OpenAI announces $110 billion in new investment at a $730 billion pre-money valuation, with contributions from SoftBank, NVIDIA, and Amazon.

### OpenAI — Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock

- Company: OpenAI (openai.com)
- Announced: 2026-02-27T05:30:00+00:00
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/introducing-the-stateful-runtime-environment-for-agents-in-amazon-bedrock
- Record: https://forck.live/items/255-introducing-the-stateful-runtime-environment-for-agents-in-amazon-bedrock
- Subject: GPT / ChatGPT / API

OpenAI announces a stateful runtime environment for agents in Amazon Bedrock, providing persistent orchestration, memory, and secure execution for multi-step AI workflows.

### Odyssey — On the Origin of Species (of World Models)

- Company: Odyssey (odyssey.systems)
- Announced: 2026-02-27
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://odyssey.systems/on-the-origin-of-species-of-world-models
- Record: https://forck.live/items/18599-on-the-origin-of-species-of-world-models
- Subject: Odyssey world models

World models are entering a renaissance, but the term is being overloaded. Frequently, and badly.

### LG AI Research — [LG Accountability Report on AI Ethics EP.1] A New Benchmark for Trust at the India AI Summit - LG AI Research’s Vision for AI in Service of Humanity

- Company: LG AI Research (lgresearch.ai)
- Announced: 2026-02-27
- Category: safety-policy-update
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.lgresearch.ai/news/view?seq=627
- Record: https://forck.live/items/10995-lg-accountability-report-on-ai-ethics-ep-1-a-new-benchmark-for-trust-at-the
- Subject: EXAONE

LG AI Research unveiled K-AUT (Korea-Augmented Universal Taxonomy), an independently developed universal AI risk classification framework comprising 226 detailed risk categories across four domains: universal human values, social safety, Korean contextual specificity, and emerging risks. The institute also announced a joint AI Ethics MOOC with UNESCO scheduled for global launch in May, and released its 2025 AI Ethics Accountability Report documenting its technological safeguards and responsible AI practices.

### Cognition — How Cognition Uses Devin to Build Devin

- Company: Cognition (cognition.com)
- Announced: 2026-02-27
- Category: capability-change
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://cognition.com/blog/how-cognition-uses-devin-to-build-devin
- Record: https://forck.live/items/7677-how-cognition-uses-devin-to-build-devin
- Subject: Devin / SWE

Cognition describes how it uses its own product, Devin, to build and improve Devin, including automated code review, bug triage, and design system audits.

### LG AI Research — [LG Accountability Report on AI Ethics EP.1] A New Benchmark for Trust at the India AI Summit - LG AI Research’s Vision for AI in Service of Humanity

- Company: LG AI Research (lgresearch.ai)
- Announced: 2026-02-27
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=627
- Record: https://forck.live/items/4759-lg-accountability-report-on-ai-ethics-ep-1-a-new-benchmark-for-trust-at-the
- Subject: EXAONE

LG AI Research participated in the India AI Summit, introduced the K-AUT risk classification framework, announced a joint AI Ethics MOOC with UNESCO for global launch in May, and released the 2025 AI Ethics Accountability Report.

### OpenAI — An update on our mental health-related work

- Company: OpenAI (openai.com)
- Announced: 2026-02-27
- Category: safety-policy-update
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/update-on-mental-health-related-work
- Record: https://forck.live/items/259-an-update-on-our-mental-health-related-work
- Subject: GPT / ChatGPT / API

OpenAI shares updates on its mental health safety work, including parental controls, trusted contacts, improved distress detection, and recent litigation developments.

### Replit — We Built a Video Rendering Engine by Lying to the Browser About What Time It Is

- Company: Replit (replit.com)
- Announced: 2026-02-26T16:30:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://replit.com/blog/browsers-dont-want-to-be-cameras
- Record: https://forck.live/items/17918-we-built-a-video-rendering-engine-by-lying-to-the-browser-about-what-time-it-is
- Subject: Replit Agent

Replit built a video rendering engine that injects a virtual clock into the browser, replacing timing APIs such as setTimeout, requestAnimationFrame, and Date.now() to make animations deterministic. The engine also includes workarounds for headless Chrome's compositor and a multi-layer solution for handling <video> elements.

### Harvey — How We Use ELO Scores to Build Better Legal AI

- Company: Harvey (harvey.ai)
- Announced: 2026-02-26T16:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.harvey.ai/blog/using-elo-scores-to-build-better-legal-ai
- Record: https://forck.live/items/17606-how-we-use-elo-scores-to-build-better-legal-ai
- Subject: Harvey

Harvey describes how it uses ELO scores, derived from lawyer preference evaluations, to measure and guide improvements to its AI systems. The post explains that an ELO gap of 150–200 points reflects a clear preference (about 70% preference rate), while a 400-point gap marks a step-change. Examples include building an Australia knowledge source and rebuilding the EDGAR system, where human-written answers set a benchmark for improvement.

### Sakana AI — Instant LLM Updates with Doc-to-LoRA and Text-to-LoRA

- Company: Sakana AI (sakana.ai)
- Announced: 2026-02-26T15:00:00+00:00
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://sakana.ai/doc-to-lora
- Record: https://forck.live/items/4692-instant-llm-updates-with-doc-to-lora-and-text-to-lora
- Subject: Sakana models

Sakana AI announces Doc-to-LoRA and Text-to-LoRA, two research projects that use hypernetworks to generate LoRA adapters on the fly, enabling instant LLM customization without traditional fine-tuning.

### Runway — New Leaders to Support Our Next Phase of Growth

- Company: Runway (runway.com)
- Announced: 2026-02-26T12:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://runway.com/news/new-leaders-to-support-next-phase-of-growth
- Record: https://forck.live/items/7896-new-leaders-to-support-our-next-phase-of-growth
- Subject: Gen / Aleph

Runway announced that co-founder Anastasis Germanidis is now co-CEO alongside Cristóbal Valenzuela, and Kamil Sindi, Michelle Kwon, Anna Chalon, and Jamie Umpherson have taken on new roles as CTO, COO, Chief People Officer, and Chief Creative Officer respectively.

### OpenAI — Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting

- Company: OpenAI (openai.com)
- Announced: 2026-02-26T10:00:00+00:00
- Category: partnership-acquisition
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/pacific-northwest-national-laboratory
- Record: https://forck.live/items/260-pacific-northwest-national-laboratory-and-openai-partner-to-accelerate-federal
- Subject: GPT / ChatGPT / API

OpenAI announces a partnership with Pacific Northwest National Laboratory to introduce DraftNEPABench, a benchmark for evaluating AI coding agents in federal permitting, with potential to reduce NEPA drafting time by up to 15%.

### Sakana AI — Announcing a Strategic Partnership with Datadog

- Company: Sakana AI (sakana.ai)
- Announced: 2026-02-26T06:00:00+00:00
- Category: partnership-acquisition
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://sakana.ai/datadog
- Record: https://forck.live/items/4693-announcing-a-strategic-partnership-with-datadog
- Subject: Sakana models

Sakana AI announced a strategic partnership with Datadog to collaborate on joint research initiatives, open-source contributions, and go-to-market efforts, accelerating engagement with large enterprises.

### OpenAI — OpenAI Codex and Figma launch seamless code-to-design experience

- Company: OpenAI (openai.com)
- Announced: 2026-02-26T06:00:00+00:00
- Category: partnership-acquisition
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/figma-partnership
- Record: https://forck.live/items/261-openai-codex-and-figma-launch-seamless-code-to-design-experience
- Subject: GPT / ChatGPT / API

OpenAI and Figma have launched a new Codex integration that connects code and design, allowing teams to move between implementation and the Figma canvas to iterate and ship faster.

### Krea — Meet Nano Banana 2, Google's Latest Image Model

- Company: Krea (krea.ai)
- Announced: 2026-02-26
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.krea.ai/blog/nano-banana-2
- Record: https://forck.live/items/15090-meet-nano-banana-2-google-s-latest-image-model
- Subject: Krea 2 / AI creative platform

The next generation of Google DeepMind’s image model is available now on Krea. Pro-quality images at flash speed, with clean text rendering, consistent characters, and output up to 4K.

### Cursor — Bugbot Autofix

- Company: Cursor (cursor.com)
- Announced: 2026-02-26
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://cursor.com/changelog/02-26-26
- Record: https://forck.live/items/2630-bugbot-autofix
- Subject: Cursor

Bugbot now has an Autofix feature that automatically fixes issues found in pull requests by running cloud agents to test changes and propose fixes, with an option to auto-merge.

### Hugging Face — Mixture of Experts (MoEs) in Transformers

- Company: Hugging Face (huggingface.co)
- Announced: 2026-02-26
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/moe-transformers
- Record: https://forck.live/items/1542-mixture-of-experts-moes-in-transformers
- Subject: Platform

Mixture of Experts (MoEs) in Transformers, explaining how sparse feed-forward layers replace dense layers to improve compute efficiency, and details the engineering work in the transformers library to support MoEs, including a weight loading refactor, expert backend, and expert parallelism.

### fal — Seedream 5.0 Lite Prompting Guide

- Company: fal (fal.ai)
- Announced: 2026-02-25T20:22:54+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://blog.fal.ai/seedream-5-0-lite-prompting-guide/
- Record: https://forck.live/items/8003-seedream-5-0-lite-prompting-guide
- Subject: fal platform

fal.ai published an independent prompting guide for Seedream 5.0 Lite, a model released in February 2026. The guide details the model's reasoning, internet search, text rendering, and contextual editing capabilities, and provides a structured prompt formula (Subject > Setting > Style > Lighting > Technical).

### Harvey — Harvey in Practice: How Banking and Finance Teams Execute Transactions

- Company: Harvey (harvey.ai)
- Announced: 2026-02-25T16:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.harvey.ai/blog/harvey-in-practice-how-banking-and-finance-teams-use-harvey
- Record: https://forck.live/items/17607-harvey-in-practice-how-banking-and-finance-teams-execute-transactions
- Subject: Harvey

Harvey's blog describes how banking and finance legal teams use its platform across the lifecycle of a financing, from market analysis and term sheet drafting through diligence, negotiation, closing, and facility management. It details specific use cases such as extracting deal data from vault review tables, comparing loan agreements to term sheets, generating issues lists from redlines, and creating post-closing checklists. The post cites Bridgewater, where legal teams use Harvey to review complex agreements and reduce review timelines from weeks to days.

### Lovable — How Lovable approaches governance, permissions, and security for non-technical teams

- Company: Lovable (lovable.dev)
- Announced: 2026-02-25T15:07:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://lovable.dev/blog/security-for-non-technical-teams
- Record: https://forck.live/items/12102-how-lovable-approaches-governance-permissions-and-security-for-non-technical
- Subject: Lovable / AI app builder

Lovable's post explains how its platform enforces governance, permissions, and security for non-technical teams. It describes structural controls such as role-based access, separate editing/approving/publishing permissions, approvals integrated into the build system, and keeping customer source code inside the organization's perimeter.

### Lovable — How Lovable built a product launch tracker

- Company: Lovable (lovable.dev)
- Announced: 2026-02-25T14:26:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://lovable.dev/blog/how-lovable-built-a-product-launch-tracker
- Record: https://forck.live/items/12103-how-lovable-built-a-product-launch-tracker
- Subject: Lovable / AI app builder

Lovable's product marketing manager and product manager built a product launch tracker inside Lovable that connects to Linear, allowing launches to be tiered, tracked, and queried. The system includes a bill of materials per tier and an 'ask the roadmap' feature for answering questions about upcoming releases.

### Vercel — How OpenEvidence built a healthcare AI that physicians actually trust

- Company: Vercel (vercel.com)
- Announced: 2026-02-25T13:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://vercel.com/blog/how-openevidence-built-a-healthcare-ai-that-physicians-can-trust
- Record: https://forck.live/items/20743-how-openevidence-built-a-healthcare-ai-that-physicians-actually-trust
- Subject: v0 / AI SDK / AI Gateway

Vercel's case study documents how OpenEvidence, a clinical decision support platform used by over 40% of U.S. physicians, built its frontend on Next.js and Vercel. The company's lead infrastructure engineer reported that enabling Fluid compute reduced serverless spend by 90% while maintaining performance, even as the platform experienced 1000x growth.

### Cognition — Introducing Cognition for Government

- Company: Cognition (cognition.com)
- Announced: 2026-02-25
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://cognition.com/blog/cognition-for-government
- Record: https://forck.live/items/7678-introducing-cognition-for-government
- Subject: Devin / SWE

Cognition launched Cognition for Government, making its AI software engineering platform (including the Windsurf IDE and Devin agent) available to U.S. government agencies. The platform is already in use across the U.S. Army, U.S. Navy, Treasury Department, and NASA-JPL, and offers FedRAMP High, DoD IL4/5/6 accredited, and SOC 2 Type II certified deployments.

### Together AI — CoderForge-Preview: SOTA open dataset for training efficient coding agents

- Company: Together AI (together.ai)
- Announced: 2026-02-25
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.together.ai/blog/coderforge-preview
- Record: https://forck.live/items/2377-coderforge-preview-sota-open-dataset-for-training-efficient-coding-agents
- Subject: Inference platform

Together AI releases CoderForge-Preview, the largest open dataset of coding agent trajectories (258k trajectories, 128K context length). Fine-tuning Qwen-3 32B on this dataset achieves 59.4% pass@1 on SWE-Bench Verified, a 23.0% improvement over the base model and ranking #1 among open-data models in the ≤32B parameter range.

### OpenAI — Disrupting malicious uses of AI | February 2026

- Company: OpenAI (openai.com)
- Announced: 2026-02-25
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/disrupting-malicious-ai-uses
- Record: https://forck.live/items/262-disrupting-malicious-uses-of-ai-february-2026
- Subject: GPT / ChatGPT / API

OpenAI published a threat report on how malicious actors combine AI models with websites and social platforms, and its implications for detection and defense.

### Replit — Replit Pro Is Here — and Core Now Offers Even Better Value

- Company: Replit (replit.com)
- Announced: 2026-02-24T20:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replit.com/blog/pro-plan
- Record: https://forck.live/items/17880-replit-pro-is-here-and-core-now-offers-even-better-value
- Subject: Replit Agent

We’ve heard from builders that it hasn’t always been obvious which plan is right for them. The truth is, we’re seeing more distinct kinds of builders on Replit than ever before — from people just getting started, to teams shipping serious production projects.

### OpenAI — Arvind KC appointed Chief People Officer

- Company: OpenAI (openai.com)
- Announced: 2026-02-24T13:40:00+00:00
- Category: funding-company-news
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/arvind-kc-chief-people-officer
- Record: https://forck.live/items/263-arvind-kc-appointed-chief-people-officer
- Subject: GPT / ChatGPT / API

OpenAI announced the appointment of Arvind KC as Chief People Officer.

### Lovable — How a startup replaced a $40,000 Salesforce contract with a Lovable-built CRM

- Company: Lovable (lovable.dev)
- Announced: 2026-02-24T13:09:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://lovable.dev/blog/how-a-startup-replaced-a-salesforce-contract-with-a-lovable-built-crm
- Record: https://forck.live/items/12104-how-a-startup-replaced-a-40-000-salesforce-contract-with-a-lovable-built-crm
- Subject: Lovable / AI app builder

Atonom, a startup building AI agents, replaced its $40,000 annual Salesforce contract with a custom CRM built on Lovable, costing roughly $1,200 per year including hosting. The CRM handles lead capture, opportunity creation, pipeline tracking, and integrates with Atonom's own AI SDR agent. The company also uses Lovable for finance dashboards and plans to build internal tools for marketing.

### Vercel — Security boundaries in agentic architectures

- Company: Vercel (vercel.com)
- Announced: 2026-02-24T13:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://vercel.com/blog/security-boundaries-in-agentic-architectures
- Record: https://forck.live/items/20744-security-boundaries-in-agentic-architectures
- Subject: v0 / AI SDK / AI Gateway

Vercel published a guide on security boundaries in agentic architectures, recommending that teams separate the security contexts of the agent, its secrets, generated code execution, and the filesystem. The post identifies four actors in an agentic system with different trust levels and argues that running all components in a single context enables prompt injection attacks that can exfiltrate credentials.

### Sakana AI — Announcing a Strategic Investment from Citi

- Company: Sakana AI (sakana.ai)
- Announced: 2026-02-24T13:00:00+00:00
- Category: funding-company-news
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://sakana.ai/citi
- Record: https://forck.live/items/4694-announcing-a-strategic-investment-from-citi
- Subject: Sakana models

Citi has made a strategic investment in Sakana AI, marking Citi's first such investment in a Japanese company, to accelerate innovation in global financial services.

### Inception — Introducing Mercury 2

- Company: Inception (inceptionlabs.ai)
- Announced: 2026-02-24
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://www.inceptionlabs.ai/blog/introducing-mercury-2
- Record: https://forck.live/items/18524-introducing-mercury-2
- Subject: Mercury

Inception introduced Mercury 2, a reasoning language model that uses diffusion-based parallel refinement instead of autoregressive decoding, achieving over 1,000 tokens per second on NVIDIA Blackwell GPUs. The model offers 128K context, tunable reasoning, native tool use, and schema-aligned JSON output, priced at $0.25 per million input tokens and $0.75 per million output tokens. Mercury 2 is available now and is OpenAI API compatible.

### Kyutai — Invincible Voice online demo released

- Company: Kyutai (kyutai.org)
- Announced: 2026-02-24
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://kyutai.org/blog/2026-02-24-invincible-voice
- Record: https://forck.live/items/18347-invincible-voice-online-demo-released
- Subject: Moshi / Pocket TTS

Kyutai released an online demo of Invincible Voice, an AI dialogue assistant intended to help people with ALS communicate more effectively.

### Cognition — Introducing Devin 2.2

- Company: Cognition (cognition.com)
- Announced: 2026-02-24
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://cognition.com/blog/introducing-devin-2-2
- Record: https://forck.live/items/7679-introducing-devin-2-2
- Subject: Devin / SWE

Cognition released Devin 2.2, an update to its autonomous software development agent. The release adds end-to-end testing with computer use, a self-review and auto-fix feature, a faster startup, and a redesigned interface.

### Cursor — Cloud Agents with Computer Use

- Company: Cursor (cursor.com)
- Announced: 2026-02-24
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://cursor.com/changelog/02-24-26
- Record: https://forck.live/items/2631-cloud-agents-with-computer-use
- Subject: Cursor

Cursor's cloud agents can now use the software they create to test changes and demo their work, running in isolated VMs and producing merge-ready PRs with artifacts.

### Replicate — How to prompt Seedream 5.0

- Company: Replicate (replicate.com)
- Announced: 2026-02-24
- Category: capability-change
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://replicate.com/blog/how-to-prompt-seedream-5
- Record: https://forck.live/items/2467-how-to-prompt-seedream-5-0
- Subject: Platform

Replicate shares prompting tips and capabilities of ByteDance's Seedream 5.0 image model, highlighting its aesthetic quality, example-based editing, style transfer, and logical reasoning abilities.

### fal — Ulysses Unbound: Experiments in Communication–Computation Overlap

- Company: fal (fal.ai)
- Announced: 2026-02-23T18:23:51+00:00
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://blog.fal.ai/ulysses-unbound-experiments-in-communication-computation-overlap/
- Record: https://forck.live/items/8004-ulysses-unbound-experiments-in-communication-computation-overlap
- Subject: fal platform

fal presents experiments on overlapping communication and computation in the pre-attention stage of Ulysses context parallelism for video diffusion models. The post benchmarks Async Ulysses, Async Ulysses with Symmetric Memory, and Fused QKV projections on an 8xB200 GPU node, reporting chunk latency reductions of up to 37.3% and end-to-end improvements of up to 5.0% at lower GPU counts.

### Harvey — Stay in Flow From Document Intake to Final Deliverable

- Company: Harvey (harvey.ai)
- Announced: 2026-02-23T13:00:00+00:00
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.harvey.ai/blog/from-intake-to-deliverable-with-harvey
- Record: https://forck.live/items/17608-stay-in-flow-from-document-intake-to-final-deliverable
- Subject: Harvey

Harvey introduced in-platform Word editing and legal agents that enable legal teams to move from document intake to final deliverables within a single platform, without switching tools. The agents can recommend review tables for contract analysis, and the Word editing supports tracked changes, redlines, and formatting preservation. Customers like Cole-Frieman & Mallon report saving up to 10 hours per week.

### OpenAI — Why we no longer evaluate SWE-bench Verified

- Company: OpenAI (openai.com)
- Announced: 2026-02-23T11:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified
- Record: https://forck.live/items/264-why-we-no-longer-evaluate-swe-bench-verified
- Subject: GPT / ChatGPT / API

OpenAI explains that they no longer evaluate SWE-bench Verified due to contamination and flawed tests, and they recommend SWE-bench Pro.

### OpenAI — OpenAI announces Frontier Alliance Partners

- Company: OpenAI (openai.com)
- Announced: 2026-02-23T05:30:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/frontier-alliance-partners
- Record: https://forck.live/items/265-openai-announces-frontier-alliance-partners
- Subject: GPT / ChatGPT / API

OpenAI announces Frontier Alliance Partners to help enterprises move from AI pilots to production with secure, scalable agent deployments.

### Together AI — How speech models fail where it matters the most and what to do about it

- Company: Together AI (together.ai)
- Announced: 2026-02-23
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.together.ai/blog/how-speech-models-fail
- Record: https://forck.live/items/2378-how-speech-models-fail-where-it-matters-the-most-and-what-to-do-about-it
- Subject: Inference platform

Research shows that speech models have a 39% error rate on street name transcription, with an 18% accuracy gap between non-English and English primary speakers. A synthetic data technique called cross-lingual style transfer reduces errors by up to 60% with fewer than 1,000 samples.
