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테슬라, 'FSD' 첫 보행자 사망 소송 합의…비전 AI 한계론 부각
Korea AI Times 2026-06-28 02:15 UTC Score 40.0 USR-0048-20260628-global-ai-ne-746fdb0d Full article

테슬라, 'FSD' 첫 보행자 사망 소송 합의…비전 AI 한계론 부각

테슬라가 운전자 보조 시스템인 \'FSD\' 작동 중 발생한 치명적인 보행자 사망 사고 소송을 최근 합의로 종결했다. 일론 머스크 CEO가 로보택시와 AI 중심의 미래 비전을 가속화하는 시점에서, 이번 합의가 카메라 기반 자율주행 시스템의 기술적 결함 논란에 어떤 파장을 미칠지 주목된다.블룸버그에 따르면, 테슬라는 지난 2023년 애리조나 고속도로에서 FSD를 활성화한 채 주행 중이던 \'모델 Y\'가 도로 위의 71세 보행자를 충돌해 사망에 이르게 한 사건의 유족 측 소송을 해결했다. 이는 테슬라 FSD 기술과 관련된 최초의 보행자 사망

Politico Europe AI 2026-06-28 02:00 UTC Score 38.0 AI-170-20260628-regional-ai--52bd7a3d

The ‘Pride Match’ that wasn’t

Local organizers hoped rainbow flags would fill Lumen Field. They were largely outnumbered by lion-and-sun banners and tricolor facepaint.

Hong Kong’s AI push needs a broader vision and more realistic goals
South China Morning Post AI 2026-06-28 01:30 UTC Score 41.0 AI-156-20260628-regional-ai--c8d71b8d Full article

Hong Kong’s AI push needs a broader vision and more realistic goals

Hong Kong cannot be faulted for not working hard enough to catch up in the global artificial intelligence (AI) race. Government funding is flowing generously towards projects focused on AI adoption. In recent years, the government has pumped billions into building the necessary infrastructure, including HK$2.84 billion (US$364 million) for a semiconductor centre, HK$3 billion for an AI subsidy scheme and another HK$1 billion allocated for an advanced AI R&D institute. In March, the government...

순천, 여성 구직자 대상 취·창업 연계 박람회 개최
Korea AI Times 2026-06-28 00:40 UTC Score 38.0 USR-0048-20260628-global-ai-ne-e35749be Full article

순천, 여성 구직자 대상 취·창업 연계 박람회 개최

AI 생성 영상순천시는 지난 25일 순천팔마실내체육관에서 ‘2026년 전남 여성일자리 박람회’를 개최했다고 26일 밝혔다.이번 박람회는 취업을 희망하는 여성에게 일자리 정보를 제공하고 취·창업 연계를 지원하기 위해 마련됐다. 전라남도와 순천이 공동 주최하고 순천YWCA여성인력개발센터가 주관했으며, ‘여성의 내일(Job), 함께 여는 미래’를 슬로건으로 진행됐다.박람회에는 순천을 비롯해 담양군, 곡성군, 구례군, 고흥군, 보성군, 화순군, 장흥군 등 전남 동부권 8개 시군이 참여했다. 직접 참여업체 30개사와 간접 참여업체 120개사

여수, 고유가 피해지원금 사용 독려…서시장서 물가안정 캠페인
Korea AI Times 2026-06-28 00:20 UTC Score 38.0 USR-0048-20260628-global-ai-ne-326e6a81 Full article

여수, 고유가 피해지원금 사용 독려…서시장서 물가안정 캠페인

AI 생성 영상여수시는 26일 고유가 피해지원금 사용을 독려하고 물가안정 분위기를 확산하기 위한 민·관 합동 캠페인을 전개했다고 밝혔다.캠페인은 지난 25일 서시장주변시장 일원에서 진행됐다. 고유가 피해지원금 사용기한이 오는 8월31일까지인 만큼 시민들에게 기한 내 사용을 안내하고, 지역 소비 촉진과 물가안정 분위기를 조성하기 위해 마련됐다.이날 캠페인에는 여수 기획경제국과 한국부인회 여수시지회 등 55명이 참여했다. 참여자들은 서시장과 주변시장 상인, 시민들에게 홍보물을 배부하며 고유가 피해지원금 사용을 안내했다.물가안정 홍보도

전남, 나주종합스포츠파크서 정신건강 화합한마당 개최
Korea AI Times 2026-06-28 00:20 UTC Score 38.0 USR-0048-20260628-global-ai-ne-8e8e3754 Full article

전남, 나주종합스포츠파크서 정신건강 화합한마당 개최

AI 생성 영상전라남도는 26일 나주종합스포츠파크에서 ‘2026년 전라남도 정신건강 화합한마당’을 열었다고 밝혔다.이번 행사는 정신건강 증진과 건강한 지역사회 조성을 위해 정신장애인의 사회 참여를 돕고, 정신질환에 대한 인식 개선을 확산하기 위해 마련됐다.올해로 25회를 맞은 행사에는 전남 22개 시군 정신건강복지센터와 정신재활·요양시설 이용자, 가족, 종사자 등 400여 명이 참여했다.정신건강 화합한마당은 정신장애인의 자립과 회복 의지를 높이고, 이용자와 가족, 현장 종사자 간 교류를 넓히기 위해 매년 열리고 있다.행사는 기념식과

AI Weekly 2026-06-28 00:00 UTC Score 53.0 AI-133-20260628-newsletters-c0b54f44 Full article

AI Weekly Issue #508: The Cutting Edge, Across the Board

One week, the whole frontier. In models, the open weights now run from a 1.6-trillion-parameter behemoth to a 230M model on a Raspberry Pi. In world models and robotics, a startup is training agents on video games to drive real robots and Yann LeCun's team made world models 48× faster. In medicine, GPT-5 Pro cracked a three-year immunology mystery and a founder used Claude to read his own cancer scans. And the agents doing all this reached every phone — and a fresh attack surface. Below: the marquee advances, the deep cuts, and where it's already paying off.

태양광·풍력, 네덜란드 가스비 3.5조 줄였다
Korea AI Times 2026-06-27 23:55 UTC Score 35.0 USR-0048-20260627-global-ai-ne-b3721f75 Full article

태양광·풍력, 네덜란드 가스비 3.5조 줄였다

네덜란드의 태양광과 풍력 발전이 국제 가스 가격 충격을 줄이는 완충장치 역할을 하고 있다는 분석이 나왔다.네덜란드 재생에너지 산업단체 홀란드솔라와 네드제로가 3월 초부터 6월 초까지 분석한 결과에 따르면 태양광·풍력 발전이 3월 이후 20억유로(약 3조5000억원) 규모의 천연가스 구매 비용을 대체한 것으로 추산했다.국제 가스 가격 변동성이 커진 상황에서 재생에너지가 전력 생산뿐 아니라 연료 수입비 절감 효과를 내고 있다는 의미다.태양광과 풍력이 더 많은 전력을 공급하면 전력시장에서는 상대적으로 비싼 가스발전 호출이 줄어든다. 그만

LessWrong AI 2026-06-27 23:35 UTC Score 71.0 USR-0152-20260627-community-fo-cb70ab80

Some subtypes of taskishness / corrigibility

"Corrigibility" is somewhat of an overloaded term in alignment - it points in the direction of a cluster of desirable properties, but different people have different ideas of what this entails. I think of "corrigibility", as it is used, to cover a few different ideas. I will name some of these and sort them roughly in order of how much of the good outcomes from deploying such a system are in the hands of the AI, rather than the human operator. Sponge corrigibility - The AI is corrigible and follows orders because it's not very smart and has otherwise been trained to do approximately that. GPT-4 is corrigible in this sense. You can ask GPT-4 to do something and it will do the thing and then stop, because as far as agency goes it behaves as an ordinary piece of software. Boundedness / myopia - The AI is smart, but does not think about certain aspects of the world, which make it possible to correct because it does not imagine some classes of strategies that would be helpful for resisting correction. In an ideal setting, such an AI would also have a harder time thinking of plans that stop it from being myopic; the benefits of thinking about a certain part of the world route through that part of the world, which it's not thinking about. Though there remain many ways for myopic agents to act in non-myopic ways , including simply that there is no particular pressure to stay myopic. A successor that makes 10 paperclips a day forever and a successor that makes 10 paperclips today the…

Best statistical test for comparing 3 groups across 6 categories [closed]
Cross Validated 2026-06-27 23:17 UTC Score 35.0 AI-113-20260627-social-media-8ffe607e Full article

Best statistical test for comparing 3 groups across 6 categories [closed]

I am using R to compare the amount of nectar produced from 3 different plant groups across 6 different months. I want to see whether the amount of nectar produced differs between the 3 plant groups and between the 6 different months. What would be the best statistical test for this, and is it possible to do this in one test instead of doing more than one ANOVA? Edit: I have now changed up the dataset so it is more logical. I grouped the months into seasons (W=winter; S=summer) to see how the nectar sugar differs between plant groups seasonally at each of the sites (Site X, Y, and Z): What would be the best way to analyse this dataset?

Synced 2026-06-27 23:13 UTC Score 46.0 AI-041-20260627-ai-specialis-fe605136 Full article

Comment on Unveiling Sora: OpenAI’s Breakthrough in Text-to-Video Generation by Seedream 5.0 pro

The part that stands out in current text-to-video workflows is how much time still goes into preparing visual references before a clip is generated. Seedream 5.0 pro looks relevant for teams comparing prompt-to-image and previsualization steps because it gives creators a faster way to draft images before moving into video or campaign production. I would usually test it on the product site first, then compare the output with the assets needed for a short launch page or storyboard: https://seedream50pro.com/

LessWrong AI 2026-06-27 21:45 UTC Score 75.0 USR-0152-20260627-community-fo-56d532d5

Agents as Webs of Beliefs

In this post I’ll sketch out an informal model of intelligent agents as webs of beliefs (or belief webs for short). The belief webs framework pulls together ideas from active inference, agent foundations and machine learning. In doing so it aims to unify beliefs, goals and actions as three facets of a single phenomenon. Few of these ideas are original to me, but I haven't seen anyone tie them together in a single place before. I've flagged the frameworks I'm drawing from throughout the post. Beliefs are held together by local consistency constraints The core premise of belief webs is that an agent’s beliefs are typically locally consistent with nearby beliefs but not necessarily globally consistent with all its other beliefs (except, perhaps, in the limit of ideal rationality). This poses a problem for frameworks which describe agents in terms of a single probability distribution (as causal graphs, Solomonoff induction, and active inference do). Two frameworks which are capable of handling global inconsistency are Richardson’s probabilistic dependency graphs (PDGs) and Garrabrant induction . (They focus on empirical inconsistency and logical inconsistency respectively, but I’ll abstract away from that difference for now.) We can roughly analogize the nodes in PDGs to the propositions in Garrabrant inductors; I’ll call them “base-level beliefs”. The central type of base-level belief I think about is beliefs about sensory inputs. [1] There’s then a second layer of structure in…

Why China’s tech firms could be in for a rude IPO surprise
South China Morning Post AI 2026-06-27 21:30 UTC Score 47.0 AI-156-20260627-regional-ai--36dd7d75 Full article

Why China’s tech firms could be in for a rude IPO surprise

A listing path is not a valuation endorsement. China’s artificial intelligence (AI) and robotics companies are about to find out which parts of their private market premiums can survive public market pricing. The Shanghai Stock Exchange has clarified how unprofitable AI large-model companies can apply under the Star Market’s fifth listing standard. The route is meant for companies with strategic technology that might not yet be reaping profits or substantial revenue. A parallel test is taking...

Teenage Engineering adds lo-fi mode, USB audio, and more to its KO II sampler
The Verge AI 2026-06-27 21:20 UTC Score 42.0 AI-016-20260627-global-ai-ne-34d002fc Full article

Teenage Engineering adds lo-fi mode, USB audio, and more to its KO II sampler

Teenage Engineering has already issued multiple substantial updates for its surprisingly capable $329 EP-133 KO II sampler. Its latest is one of the biggest yet. OS 2.5 adds audio over USB, selectable sample rates for lo-fi fun, sample reverse, an arpeggiator, equal-length autochopping, and it extends the maximum length of a sample from 20 seconds […]

Is $s'^2_m / s^2_m$ (group deviation from the *global* mean over within-group variance) a valid two-sample mean test?
Cross Validated 2026-06-27 20:18 UTC Score 34.0 AI-113-20260627-social-media-95e587f6 Full article

Is $s'^2_m / s^2_m$ (group deviation from the *global* mean over within-group variance) a valid two-sample mean test?

Suppose I have two independent samples from $N(\mu_m,\sigma^2)$ and $N(\mu_n,\sigma^2)$ (common variance), of sizes $m$ and $n$ , and I want to test $H_0:\mu_m=\mu_n$ . Instead of the pooled two-sample $t$ -test, I want to ask about a statistic built from a different intuition. The pooled variance $s^2_{m+n}$ feels "polluted" to me: it blends both groups' scatter with the gap between their means. So instead, let me anchor group $m$ 's deviations to the global mean. Let $\mu_{m+n}=\dfrac{m\bar x_m + n\bar x_n}{m+n}$ be the grand mean of all $m+n$ points, and define $$ s'^2_m := \frac{1}{m-1}\sum_{i=1}^{m}\bigl(x_i-\mu_{m+n}\bigr)^2, \qquad s^2_m := \frac{1}{m-1}\sum_{i=1}^{m}\bigl(x_i-\bar x_m\bigr)^2 . $$ My proposed statistic is the ratio $$ R := \frac{s'^2_m}{s^2_m}. $$ The idea: under $H_0$ , $\bar x_m \approx \mu_{m+n}$ , so $s'^2_m\approx s^2_m$ and $R\approx 1$ ; under the alternative, $\mu_{m+n}$ sits between the two group means, $\bar x_m$ is pulled away from it, and $R$ grows. Large $R$ rejects. My questions: Is $R$ a valid test statistic, and what is its exact null distribution? Using the identity $\sum_i (x_i-\mu_{m+n})^2 = \sum_i(x_i-\bar x_m)^2 + m(\bar x_m-\mu_{m+n})^2$ , I get $$ R = 1 + \frac{m\,(\bar x_m-\mu_{m+n})^2}{\sum_i (x_i-\bar x_m)^2}. $$ Are the numerator and denominator independent here (so that $R$ has a tractable distribution), and if so what is it? This statistic is deliberately asymmetric — it uses group $m$ 's scatter as the noise yardstick an…

The Verge AI 2026-06-27 18:39 UTC Score 45.0 AI-016-20260627-global-ai-ne-299a59cd Full article

Margaret Atwood says the problem with AI is ‘garbage in, garbage out’

Margaret Atwood, the storied author of The Handmaid's Tale and The Blind Assassin, was interviewed as part of the Babell Literary and Cultural Festival in Porto, Portugal. As it usually does at these things, the issue of AI came up, and Atwood didn't mince words. According to Deadline's recap, Atwood said she'd used an AI […]

Apple wants permission to buy memory from a blacklisted Chinese supplier
The Verge AI 2026-06-27 17:28 UTC Score 63.0 AI-016-20260627-global-ai-ne-ad25f033 Full article

Apple wants permission to buy memory from a blacklisted Chinese supplier

Apple is looking to alleviate some of the pressure on its supply chain by seeking an exception from the Trump administration to buy RAM chips from CXMT, a company blacklisted by the Pentagon over ties to the People's Liberation Army, according to the Financial Times. The skyrocketing prices of RAM and storage have driven Apple […]

Anthropic's Fable 5 could return within days as Trump administration prepares to lift restrictions
The Decoder 2026-06-27 17:03 UTC Score 42.0 AI-168-20260627-regional-ai--96daab63 Full article

Anthropic's Fable 5 could return within days as Trump administration prepares to lift restrictions

Anthropic's AI model, Fable 5, could be available again within days. According to Axios, the Trump administration is close to lifting the restrictions imposed on June 12 over safety concerns. The Pentagon and NSA still need to sign off. The article Anthropic's Fable 5 could return within days as Trump administration prepares to lift restrictions appeared first on The Decoder .

DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1
MarkTechPost 2026-06-27 16:59 UTC Score 56.0 AI-032-20260627-ai-specialis-5ea2e5ec Full article

DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1

DeepSeek open-sourced DSpark, a speculative decoding framework that attaches a draft module to existing DeepSeek-V4 weights. It pairs a parallel draft backbone with a lightweight Markov head to cut suffix decay, then adds confidence-scheduled verification that tailors how many tokens get checked to real-time GPU load. Offline, accepted length rises 16–31% over DFlash and Eagle3; in production it speeds per-user generation 57–85% over the MTP-1 baseline, losslessly. The training repo, DeepSpec, ships under MIT. The post DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1 appeared first on MarkTechPost .

Outsourced Data Labeling in Roboflow
Roboflow Blog 2026-06-27 16:39 UTC Score 43.0 USR-0088-20260627-ai-specialis-37a3d3b4 Full article

Outsourced Data Labeling in Roboflow

Roboflow offers outsourced labeling via approved partners. Receive the custom annotations you need to train high-quality models.

Half of Claude users say AI can already handle half their work according to Anthropic survey
The Decoder 2026-06-27 15:28 UTC Score 39.0 AI-168-20260627-regional-ai--4d8abeb5 Full article

Half of Claude users say AI can already handle half their work according to Anthropic survey

About half of Claude users say AI can already handle 50 percent or more of their work tasks, according to a survey of roughly 9,700 users by Anthropic. In 12 months, 26 percent expect AI to cover 60 to 90 percent of their work. Early-career workers worry the most, while the heaviest users are the most optimistic about their career prospects. The article Half of Claude users say AI can already handle half their work according to Anthropic survey appeared first on The Decoder .

Synced 2026-06-27 15:22 UTC Score 38.0 AI-041-20260627-ai-specialis-bcecc117 Full article

Comment on Direct and Star in Your Own Movie With California AI Startup Rct Studio by keel

Xeno Executor scripts are the heart and soul of the Xeno experience – custom Lua codes that unlock a whole new layer of gameplay in Roblox. These scripts range from simple quality-of-life tweaks, like ESP (seeing other players through walls) or auto-clickers, to complex auto-farming hubs that grind levels, collect rare items, or hatch eggs while you're away from the keyboard. The beauty of Xeno scripts is their variety https://xeno-executordl.com

The Guardian’s Kai Wright refuses to buy a new phone
The Verge AI 2026-06-27 15:15 UTC Score 45.0 AI-016-20260627-global-ai-ne-cc55f3bb Full article

The Guardian’s Kai Wright refuses to buy a new phone

Kai Wright is the co-host of Stateside with Kai and Carter over at the Guardian. But Wright has been bringing his unique insights to listeners for years. He's also hosted Notes From America, The United States of Anxiety, and Indivisible. He's a Peabody Award-winning journalist who has profiled powerful men, explored what it means to […]

The AI bubble has further to run despite the looming crash
The Guardian AI 2026-06-27 15:00 UTC Score 48.0 AI-021-20260627-global-ai-ne-f69b3ee7 Full article

The AI bubble has further to run despite the looming crash

As tech firms make huge profits and investors fear losing out, both are doing their best to hold off the day of reckoning OpenAI staggers AI model release after White House request Every couple of decades, investors will ask themselves how long can the stock market keep climbing. Is it safe to buy more shares? Is their pension or equity portfolio vulnerable should financial markets, and especially those in the US, come crashing down to earth? When stock markets rise to historically high levels – and beyond the level when normal profits can sustain share prices – a few “experts” typically warn of an impending crash. Continue reading...

We Built a Routing Layer to Cut Our AI Costs. It Broke the Product.
Towards Data Science 2026-06-27 15:00 UTC Score 36.0 AI-036-20260627-ai-specialis-585455a6 Full article

We Built a Routing Layer to Cut Our AI Costs. It Broke the Product.

A team cut their AI inference bill by more than half. Three months later, customer satisfaction was dropping and the cost savings were tied to the quality loss. Cost-optimization routing layers are a Pareto trap, and here's the detection methodology that catches them in days instead of months. The post We Built a Routing Layer to Cut Our AI Costs. It Broke the Product. appeared first on Towards Data Science .

Synced 2026-06-27 14:38 UTC Score 33.0 AI-041-20260627-ai-specialis-3b966dd5 Full article

Comment on Does Fitness Data Make the Average Person Healthier? by Barbara Campbell

This is a very relevant point about fitness trackers. The data itself is useful, but it only really matters when it is turned into personal guidance that fits someone’s actual health situation. A simple step goal can motivate one person but be completely wrong for another, especially with medical limits. That idea of meaningful feedback also reminds me of Speed Stars - where progress feels useful because it is tied to timing, repetition, and personal improvement rather than just numbers on a screen.

Politico Europe AI 2026-06-27 14:25 UTC Score 36.0 AI-170-20260627-regional-ai--f149c240

Tech industry grapples with Trump’s AI about-faces

Silicon Valley billionaires backed Trump due to fears that Democrats would overregulate AI. Now the White House is restricting the release of new AI models — and tech lobbyists are cautiously searching for answers.

Plotting faceted smooth plots by condition in GAMMs [closed]
Cross Validated 2026-06-27 14:10 UTC Score 37.0 AI-113-20260627-social-media-e1e05a92 Full article

Plotting faceted smooth plots by condition in GAMMs [closed]

I am trying to plot the smooths from a GAMMs model that includes a smooth over time, split by condition (s(Time, by=condition)). plot_smooth from itsadug plots all conditions in the same plot — is there a way for me to facet these so each condition smooth is on a different plot (in ggplot style)? I tried using ggpredict and then ggplot, but the plots look very different from the smooth plots from plot_smooth (a lot more wiggly), I think because of the way random effects are excluded by plot_smooth — this too, I'm not too sure about. Thanks for your help.

Indie developers got tired of waiting for a new Star Fox, so they’re making their own
The Verge AI 2026-06-27 14:00 UTC Score 45.0 AI-016-20260627-global-ai-ne-69ee8c32 Full article

Indie developers got tired of waiting for a new Star Fox, so they’re making their own

Nostalgia remains a powerful force. So much so that, in exploring the echoes of a late-'90s childhood spent skimming the water of Corneria and sneering "cocky little freaks!" in time with a monkey encased in a Gundam suit, I'm simultaneously describing playing Star Fox 64 (Lylat Wars if you're nasty) in 1997 and streaming it […]

The Verge AI 2026-06-27 13:30 UTC Score 45.0 AI-016-20260627-global-ai-ne-d3cecd4b Full article

Why is Apple asking me to pay more for Big Tech’s AI obsession?

Tim Cook recently said price increases were "unavoidable" and described the company's pricing as "unsustainable." The 16-inch MacBook Pro saw its price go up by $300. The 11-inch iPad Air went from $599 to $749. Even the HomePod Mini got a $30 bump to $129. Cook squarely placed the blame at the feet of the […]

J.P. Morgan sees a pile of red flags in the AI market
The Decoder 2026-06-27 13:22 UTC Score 44.0 AI-168-20260627-regional-ai--1d3eef7b Full article

J.P. Morgan sees a pile of red flags in the AI market

J.P. Morgan warns that there are "signs of investor exuberance" in AI markets. Just 42 AI companies in the S&P 500 account for 65 to 80 percent of the index's total profits. The semiconductor rally is flashing technical patterns last seen during the dotcom bubble, and leveraged chip ETFs have quintupled their market influence since early 2024. The bank sees multiple layers of concentration risk across markets, infrastructure, and the economy. The article J.P. Morgan sees a pile of red flags in the AI market appeared first on The Decoder .