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Read full article about: OpenAI gives GPT-5.5 Instant a readability upgrade while phasing out two older models

OpenAI is making several changes to ChatGPT. The recently released GPT-5.5 Instant is getting an update: responses should feel more natural, easier to read, and better structured, with fewer long bullet-point lists, the company says. OpenAI is also removing the Canvas feature from GPT-5.5 Instant and GPT-5.5 Thinking. Canvas is the side panel that sometimes pops up in chat when you're editing text or previewing code. Instead, writing and coding tasks will be handled directly in the chat through special blocks. Paying users can still access Canvas through older models during the transition.

The company is also retiring the older o3 and GPT-4.5 models, with o3 leaving ChatGPT on August 26, 2026, after a 90-day sunset period, and GPT-4.5 on June 27, 2026, after a 30-day sunset period. Until then, both models remain available to paying users through the model settings. o3 will stick around in the API for now; GPT-4.5 was already pulled from the API a while back.

Read full article about: Google fixes several bugs in Gemini usage limits that burned through quotas too fast

Google Gemini fixes several issues with the app's usage limits. Google VP Josh Woodward explains that a bug was causing one or two Omni videos to eat up the entire quota. That bug has been fixed, and Ultra members now get double the number of Omni video generations.

Complex requests to the 3.1 Pro model with large files also burned through too much quota, Woodward says, so the max consumption per prompt is now capped. The prompt still runs as usual, meaning you get more out of your plan. More changes: Failed requests are no longer charged, Flash Lite requests are free, and complex features like Deep Research get more detailed consumption displays. If you pick a specific model, that selection now sticks across all sessions.

At I/O a few days ago, Google introduced a revamped Gemini app with new features, an agent mode, and a new pricing structure for Gemini AI subscriptions.

One company reportedly spent $500 million on Claude in one month after failing to cap AI usage

An unnamed company allegedly blew half a billion dollars on Claude licenses in a single month because nobody set usage limits. Cases like this show that without real AI expertise in model selection and context engineering, productivity promises just turn into runaway costs.

Read full article about: OpenAI is giving away its life sciences AI model to help governments prepare for the next pandemic

OpenAI launches the Rosalind Biodefense program, giving selected developers and government partners access to GPT-Rosalind, a life sciences AI model introduced in April that reasons about molecules, proteins, genes, and disease biology better than regular GPT models. The goal is to help researchers move faster from hypothesis to experiment.

The program aims to strengthen biodefense and pandemic preparedness. OpenAI, Anthropic, and AI researchers have repeatedly warned about the risks of AI-driven bioweapons. OpenAI covers access costs and supports vetted developers building AI apps for early warning systems, diagnostics, and vaccine development. 

Early partners include Lawrence Livermore National Laboratory, Johns Hopkins Applied Physics Laboratory, and vaccine initiative CEPI. Fourth Eon and SecureDNA are using the model for DNA screening. The program builds on existing safety measures. Academic, nonprofit, government-affiliated, and small-to-midsized teams with clear public benefit goals can apply. OpenAI is seeking projects that use AI to accelerate or scale defensive research, such as literature synthesis, protocol design, model-building, data harmonization, simulation, or decision support.

Read full article about: Amazon kills internal AI leaderboard after employees gamed it with pointless tasks

Amazon is pulling an internal AI ranking system, the Financial Times reports, after employees inflated their scores through meaningless AI usage and driving up the company's cloud costs in the process.

The so-called "Kirorank" dashboard scored employees based on their activity on Amazon's Kiro developer platform. Some workers started pointing AI agents at pointless tasks just to climb the rankings.

"Please don't use AI just for the sake of using AI," Senior Vice President Dave Treadwell reportedly told staff. The dashboard was built with "good intentions," he said, but ended up creating extra costs.

The timing is awkward. Amazon has set a target of getting more than 80 percent of its developers to use AI on a weekly basis and plans to spend around $200 billion in 2026, mostly on AI infrastructure. The same pattern showed up at Meta, where employees chased similar AI usage scores. Instead of raw token consumption, Amazon now tracks "normalized deployments", meaning AI-generated code that's actually useful.

Comment Source: FT
Read full article about: Claude company Anthropic nears a trillion-dollar valuation after raising $65 billion in Series H

Anthropic has raised $65 billion in a Series H financing round, putting its valuation at $965 billion. Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital led the round. According to Anthropic CFO Krishna Rao, the money will go toward safety research, computing capacity, and expanding products like Claude Code and Cowork. Annualized revenue crossed the $47 billion mark in May 2026.

The round also includes a previously announced $15 billion from cloud providers, with $5 billion of that from Amazon. Anthropic has also signed agreements with Google, Broadcom, and SpaceX for a combined total of more than ten gigawatts of computing capacity. Strategic partners like Micron, Samsung, and SK hynix participated as well.

Anthropic says Claude is the first western frontier AI model available on all three major cloud platforms: AWS, Google Cloud, and Microsoft Azure.

Read full article about: Google launches a tiny board that runs Gemma 3 locally

Google unveiled the new Coral Board at Google I/O - a compact single-board computer for on-device AI. The board features the Coral NPU, an open-source machine learning unit built on the RISC-V architecture and developed by Google Research. It's designed for small devices like headphones, AR glasses, and smartwatches, and aims to fix the fragmentation problem among AI accelerators.

At its core sits a Synaptics Astra SL2619 chip with a 2 GHz dual-core processor, 2 GB of RAM, and 1 TOPS of compute. Google's slightly older open-source language model Gemma 3 270M runs entirely on the board - no cloud needed. At I/O, Google showed demos including real-time translation, voice-controlled hardware, and a generative music performance where a YOLOv8 model tracked jellyfish movements and turned them into music. All demos are open source on GitHub. The board is expected to ship this summer, but Google hasn't announced a price yet.