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Shares in chipmakers underpinning AI boom rocket in first half of 2026
The Guardian AI 2026-06-29 14:18 UTC Score 53.0 AI-021-20260629-global-ai-ne-07425a29 Full article

Shares in chipmakers underpinning AI boom rocket in first half of 2026

Value of some chip manufacturers have tripled, or more, driving Asia Pacific stock markets sharply higher Shares in chipmakers have surged in the first half of this year as investors piled into companies that make the hardware underpinning the AI boom, according to analysis. Investors have driven up the value of semiconductor and memory chip manufacturers, whose profits have soared during 2026, at the expense of some large software companies, which have fallen out of favour this year. Continue reading...

AC should be prioritised for the elderly and vulnerable, expert says
Euronews AI 2026-06-29 14:11 UTC Score 40.0 AI-164-20260629-regional-ai--65c33d65 Full article

AC should be prioritised for the elderly and vulnerable, expert says

Diana Ürge-Vorsatz, Vice-Chair of the Intergovernmental Panel on Climate Change, said governments should provide "temporary measures" such as cooling centres during heatwaves. High air conditioning use is "already jeopardising" the EU's energy capacity, she said.

Hot wax: Are your vinyls at risk during a heatwave?
Euronews AI 2026-06-29 14:06 UTC Score 37.0 AI-164-20260629-regional-ai--c6525636 Full article

Hot wax: Are your vinyls at risk during a heatwave?

Social media users and music lovers are starting to panic about their record collections during the ongoing heatwave. Euronews Culture dispels a few myths and puts you on the right track...

The Verge AI 2026-06-29 14:00 UTC Score 52.0 AI-016-20260629-global-ai-ne-65bd9b74 Full article

Let him cook: How Weber Blackstone CEO Roger Dahle went from upstart to the biggest name in grilling

It’s time for our annual Fourth of July grill episode here at Decoder. This is when we invite the CEOs of outdoor cooking companies onto the show to explain just how their businesses kind of look like every other business. And this is a very special edition. Today I’m talking to Roger Dahle, the CEO […]

The best and worst looks at the 2026 BET Awards
Business Insider AI 2026-06-29 13:54 UTC Score 37.0 USR-0098-20260629-global-ai-ne-54b56f84 Full article

The best and worst looks at the 2026 BET Awards

Fashion was a highlight of the 2026 BET Awards. Stars like Janet Jackson and Teyana Taylor arrived in statement outfits, while others missed the mark.

Can local preprocessing cut LLM API costs?
OpenAI Community 2026-06-29 13:51 UTC Score 63.0 AI-116-20260629-social-media-d0056176 Full article

Can local preprocessing cut LLM API costs?

A few days ago I shared a project I’ve been working on called “LatentGate” — a local-first pipeline that reduces LLM API token usage by processing inputs before sending them to the model. After some great feedback, I’ve now turned it into: A pip-installable Python package A VS Code extension (runs as a local proxy) MCP server support for tools like Claude Code, Cursor, Cline, Continue PyPI → pip install latent-gate VS Code → LatentGate — Local-First AI Compression What it does Images (~1000–1300 tokens) → compressed to ~150 tokens using local vision models (Ollama + LLaVA) Long prompts / conversations → compressed locally before hitting cloud APIs Works with OpenAI / Claude / Gemini APIs Fully local preprocessing (no data leaves your machine before compression) The idea is inspired by VL-JEPA — predicting in embedding space, then decoding selectively. Why I built this While experimenting with GPT-4o / vision APIs, I noticed most costs come from raw input size (especially images and long prompts). So instead of optimizing prompts endlessly, I tried: → “What if we reduce what we send in the first place?” What I’m looking for I’d love feedback from this community, especially: Edge cases where compression breaks context Cases where output quality drops noticeably Prompt / API compatibility issues (OpenAI especially) Performance bottlenecks Better approaches to selective decoding or compression If you try it and something fails — that’s honestly the most valuable thing for me rig…

The Verge AI 2026-06-29 13:51 UTC Score 54.0 AI-016-20260629-global-ai-ne-1b7605aa Full article

Rocket Lab is buying Iridium’s satellite network for $8 billion to take on SpaceX

Rocket Lab, the space company best known for its small satellite launcher Electron, has announced plans to acquire Iridium Communications for $8 billion. The deal will combine Rocket Lab's launch services and spacecraft manufacturing with Iridium's satellite-based communications network, putting it in a better position to challenge SpaceX. Iridium offers communications services to over 2.5 […]

Synced 2026-06-29 13:41 UTC Score 50.0 AI-041-20260629-ai-specialis-5dbd21e0 Full article

Comment on Can GRPO be 10x Efficient? Kwai AI’s SRPO Suggests Yes with SRPO by Malik Saif

Excellent breakdown of SRPO and its impact on AI reasoning. The emergence of self-verification and structured thinking is particularly impressive. These advancements could significantly improve the effectiveness of a href="mathssolverai.com">many problem-solving tools and intelligent applications. Thanks for sharing this insightful research.

Analytic approach when treatment is offered only after patient reaches a baseline threshold
Cross Validated 2026-06-29 13:37 UTC Score 40.0 AI-113-20260629-social-media-a2ee6ac5 Full article

Analytic approach when treatment is offered only after patient reaches a baseline threshold

I've come across a situation that I haven't had to deal with before and I've reached an impasse. Problem Patients in a health system are routinely monitored for a lab value important for diabetes management (A1c). When A1c reaches a particular level (higher than normal) a nurse reaches out to the patient to discuss medication and other proper treatment strategies. There is no natural control group, but we have A1c values for all patients over a number of months prior to the contact and after the contact. We would like to test the hypothesis that the intervention positively affects A1c (brings it down toward normal). My thoughts Initially, I thought that an interrupted time series would work since this intervention started at a particular calendar date, and we have information about the entire cohort. However, individuals were contacted over a 2-year period, so this will not work. Then, I thought that longitudinal modeling, with some kind of linear spline function. However, I'm concerned about the fact that enrollment / inclusion in the study (intervention) is based on the outcome. There is also substantial autocorrelation in each patient's series. While there is no natural control group, one could use individuals for whom contact was attempted, but did not engage. I'd imagine that some kind of propensity score would be needed in that case. Any citations or suggestions are appreciated.

Healthcare startup MyKare.ai raises $3.2 Mn
Entrackr AI 2026-06-29 13:33 UTC Score 64.0 USR-0212-20260629-regional-new-069327ba Full article

Healthcare startup MyKare.ai raises $3.2 Mn

Healthcare startup MyKare.ai has raised $3.2 million, including an additional $1 million in Series A funding round. The round saw participation from Andrew and Alfredo, founders of Papa.com, and a leading family office from the Middle East. The fresh funds will be used to enhance AI capabilities, accelerate product development, and support global expansion, MyKare said in a press release. Co-founded in 2021 by Senu Sam, Rahmathulla T M, and Joash Philipose, MyKare.ai develops an AI native healthcare operating system for clinics and hospitals. Its platform helps automate patient acquisition, appointment booking, follow ups, communication, feedback collection, and other administrative workflows through AI agents and voice AI. The startup aims to improve operational efficiency and patient experience by integrating these functions into a single platform. Its AI agents can also manage patient queries, identify intent, answer calls, update CRM records, and support patient retention. According to the company, it serves healthcare organizations across India, the Middle East, the United Kingdom, and the United States. It directly competes with the other notable players in this space such as Yellow.ai, Haptik, Senseforth.ai, Hyro, and Cognigy.

Mobile: Add a reading/focus mode to hide persistent UI while reading long responses
OpenAI Community 2026-06-29 13:33 UTC Score 48.0 AI-116-20260629-social-media-04fce65a Full article

Mobile: Add a reading/focus mode to hide persistent UI while reading long responses

Feature request Please add a reading / focus mode in the ChatGPT mobile app that lets users temporarily hide persistent on-screen UI while reading long responses. Problem When reading a long ChatGPT response on mobile, the persistent app UI takes up a significant amount of vertical screen space. On my device, the header, input area, and related controls occupy more than 20% of the visible screen . That is workable while composing a message, but it becomes a problem once the user’s intent shifts from writing to reading . For long-form answers, research summaries, code explanations, writing drafts, planning output, or step-by-step instructions, the current mobile UI makes the response feel cramped and forces substantially more scrolling than necessary. The issue is not that these UI elements persist in most cases – the issue is that there is currently no way to temporarily dismiss them when the user is reading, or otherwise has a reason to. Expected behavior ChatGPT could support a mobile reading pattern where non-essential UI can be hidden while the user is consuming long-form content. There are many apps that already employ straight-forward approaches to this that users would already expect and be familiar with, requiring no acclimation or adjustment. Any of these interaction models would fit common user mental models: Auto-hide on scroll: Hide the header and/or input area when the user scrolls down through a response, then restore them when the user scrolls up. Menu option:…

Medianama AI 2026-06-29 13:27 UTC Score 33.0 USR-0211-20260629-regional-new-a0d6dc34 Full article

Explained: How vulnerabilities in RBI’s bank.in registry exposed sensitive data for 13 months

The 33+ unauthenticated API endpoints in the entity responsible for RBI's bank.in domain registry exposed 5000 bank employees' sensitive data, like password hashes, login IPs, for 13 months. The post Explained: How vulnerabilities in RBI’s bank.in registry exposed sensitive data for 13 months appeared first on MEDIANAMA .

OpenAI *must* document the input image pricing of gpt-image-2 (so I did)
OpenAI Community 2026-06-29 13:26 UTC Score 43.0 AI-116-20260629-social-media-d1ec7ec0 Full article

OpenAI *must* document the input image pricing of gpt-image-2 (so I did)

Fun with API calls , as long as nobody is documenting gpt-image-2, nor noting overbilling reports nor fixes, seen above or elsewhere (such as on gpt-5.2 model vision): Send 23 input images to gpt-image-2 Why should I stop you? === 2026-06-29 05:42:54 | Images API request (edit) === (JSON-like approximation; actual call is http multipart/form-data) { "model": "gpt-image-2", "prompt": "Give the tall model the yellow baby doll dress seen in the other images", "size": "480x1408", "output_format": "png", "quality": "low", "background": "opaque", "n": 1, "image": [ "METADATA - filename: image.png; bytes: 933314; dimensions: 480x1408", "METADATA - filename: image2.png; bytes: 2400332; dimensions: 1536x1024", "METADATA - filename: image3.png; bytes: 2439315; dimensions: 1536x1024", "METADATA - filename: image4.png; bytes: 1688169; dimensions: 1536x1024", "METADATA - filename: image5.png; bytes: 2291162; dimensions: 1637x928", "METADATA - filename: image6.png; bytes: 2320081; dimensions: 1637x928", "METADATA - filename: image7.png; bytes: 2006693; dimensions: 1600x960", "METADATA - filename: image8.png; bytes: 815813; dimensions: 480x1408", "METADATA - filename: image9.png; bytes: 920722; dimensions: 480x1408", "METADATA - filename: image10.png; bytes: 1450837; dimensions: 1024x1024", "METADATA - filename: image11.png; bytes: 1694557; dimensions: 1024x1024", "METADATA - filename: image12.png; bytes: 935225; dimensions: 480x1408", "METADATA - filename: image13.png; bytes: 863611; dime…

Agents having a good sense of humor
OpenAI Community 2026-06-29 13:24 UTC Score 43.0 AI-116-20260629-social-media-38a9b3cf Full article

Agents having a good sense of humor

I think that you’re a bit too strong in your approach. I know that on my end, codex that has really strict quota is only focusing on doing his job without the “human like” feedback. But on GPT that transform codex feedback to “non professional coder” to me, I’m happy to have him introduce some emotions in the feedback.

The new ChatGPT 5.5 Instant broke multi-step App/MCP tool calls
OpenAI Community 2026-06-29 13:17 UTC Score 55.0 AI-116-20260629-social-media-6dbcb77f Full article

The new ChatGPT 5.5 Instant broke multi-step App/MCP tool calls

Since the new ChatGPT 5.5 Instant model was released last week, we’ve seen issues with ChatGPT Instant not reliably completing App/MCP tool flows. Observed behavior: ChatGPT Instant either does not call any available tool, or calls only the first tool in the flow. After that single call, it stops and says it does not have access to the other tools, even though those tools are available. In our experiments, when ChatGPT Free usage falls back from Instant to ChatGPT Mini, the same tool flow starts working again. The flow also works as expected when using Thinking or Auto modes. This suggests the new Instant mode may not be invoking the follow-up tool calls required to complete a user request. Expected behavior: When a user asks ChatGPT to complete a task that requires tools, ChatGPT should continue calling the available tools as needed until the request is complete, rather than claiming it lacks access or stopping after the first tool call. Has anyone else observed this with ChatGPT 5.5 Instant and multi-step App/MCP tool flows? Happy to share reproduction details if helpful.

36 TV shows that went on way too long — sorry
Business Insider AI 2026-06-29 13:12 UTC Score 40.0 USR-0098-20260629-global-ai-ne-3f662a6b Full article

36 TV shows that went on way too long — sorry

Unnecessary characters, replacing the main star, and adding ridiculous plots are just some of the signs that it's time to call it quits.