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CIO AI 2026-08-14 13:22 UTC Score 63.0 USR-0125-20260814-global-ai-ne-68cc86d5 Full article

OpenAI loses its AI ethics lead

OpenAI has lost its AI ethics lead Chloé Bakalar just a year after she joined the company, the Financial Times reported . Bakalar has maintained a silence and has yet to update her LinkedIn profile , but if her departure is confirmed then it will add to the list of OpenAI executives who have quit in recent months. Other departures include robotics chief Caitlin Kalinowski , who left the company over its deal with the US Department of Defense; researcher Zoe Hitzig, who quit in a very public way by writing an article in the New York Times; and Johannes Heidecke, head of safety systems. OpenAI’s ethical stance has been called into question following an attack by OpenAI models on Hugging Face . The departure of its sole ethicist will add to the pressure on the company. In her year at OpenAI Bakalar focused on ethical approaches to model development, looking at how humans interact with AI and examining machine consciousness, according to the FT report. Bakalar had considerable expertise in the area. She was previously at Meta, where she developed the company’s ethics programs, but has also held several positions at prestigious universities on both sides of the Atlantic. Her departure will cause some anxiety at OpenAI as it continues to prepare the ground for its IPO . This article first appeared on Computerworld .

CIO AI 2026-08-14 13:14 UTC Score 64.0 USR-0125-20260814-global-ai-ne-9d72a7a1

5 critical questions that define AI factory economics

As data centers evolve into AI factories, compute has shifted from a cost center to a revenue driver. “Compute is revenue,” said Jensen Huang, co-founder and CEO of NVIDIA. “Without compute, there is no way to generate tokens. Without tokens, there’s no way to generate revenue. So, in this new world of AI, compute equals revenue.” This reframe changes an organizations’ calculus. If compute is revenue, what do you optimize for? Here are 5 questions to consider: Are you measuring what actually drives AI factory revenue? Most AI factories are power-constrained, so tokens per watt dictate how much revenue you can generate and the cost per token impacts the AI factory profit margin. But neither of these metrics should be evaluated at a single operating point. Batch jobs, real-time chat, and agentic workloads demand different points on the throughput-latency curve. AI chips that perform well at only a few points will underserve the full range of workloads. Additional key operational metrics like time to first token (TTFT), mean time between interruptions (MTBI), and platform useful life are the bedrock of AI factory efficiency. They dictate how quickly an AI factory comes online to generate tokens, the reliability of its revenue streams, and its long-term ability to remain productive as AI workloads evolve. How does agentic AI change what your CPU needs to deliver? Data center CPUs have historically been optimized for parallel throughput, where more cores improve aggregate capacit…

Cross Validated 2026-08-14 13:13 UTC Score 37.0 AI-113-20260814-social-media-4f9fd48c

Ordered beta regression with no observations at the upper bound: how to handle the non-identified cutpoint?

I fit a mixed ordered beta regression (Kubinec 2023, glmmTMB::ordbeta) to a proportion on [0,1] with ~23% exact zeros but no observations at 1 (max 0.925, n ≈ 2000). One of the two cutpoints therefore has no information. The likelihood places cutpoints ψ₁ P(y = 0) = 1 − ilogit(η − ψ₁) P(0 P(y = 1) = ilogit(η − ψ₂) With no y = 1, ψ₂ survives only in the second line, where the likelihood is monotonically increasing in it. There is no interior maximum; the supremum is approached as ψ₂ → ∞. Example: library(glmmTMB); set.seed(101) n no y = 1 realised u 1 - p1, 1, rbeta(n, mu*phi, (1-mu)*phi))) d $y == 0, one = d$ y == 1) # 303 zeros, 1697 interior, no ones m1 $fit$ convergence # 0 -- reports clean convergence vv $values[1:3], 3) # 2456719.755 0.039 0.026 round(setNames(abs(ee$ vectors[,1]), rownames(vv)), 3) # (Intercept) x disp theta_1|g.1 lower_cutoff upper_cutoff # 0 0 0 0 0 1 # confidence interval unbounded above confint(m1, method = "uniroot", parm = 6, parm.range = c(-20, 60)) # 2.5 % 97.5 % Estimate # upper cutoff 4.28 NA 19.64 The leading eigenvalue exceeds the next by 6 × 10⁷, and its eigenvector loads 1.000 on ψ₂ and 0.000 on everything else — the flat direction is orthogonal to the rest of the model. The point estimate is 19.64 where the generating value was 8; the optimiser simply stopped there. Note convergence = 0 throughout. The gradient along the flat direction decays exponentially, so the relative-convergence criterion is met at an arbitrary point. My workaround…

Cloudflare AI Blog 2026-08-14 13:12 UTC Score 51.0 USR-0067-20260814-ai-specialis-d81d0c50

How Cloudflare detects MCP traffic and helps secure it

Cloudflare Gateway identifies MCP requests using protocol-level heuristics. Security teams can use that signal to find shadow MCP traffic, enforce Portal-only access for approved servers, and block direct connections on managed network paths.

Politico Europe AI 2026-08-14 13:10 UTC Score 33.0 AI-170-20260814-regional-ai--9e678710

Le Conseil constitutionnel censure la loi interdisant les réseaux sociaux aux mineurs

PARIS — Le Conseil constitutionnel a rendu ce vendredi sa décision sur la loi interdisant les réseaux sociaux aux mineurs et a annoncé censurer son article 1er, qui acte ladite interdiction pour les moins de 15 ans. De fait, la décision rend caduque le principal objet de cette loi portée depuis plusieurs années par le […]

InfoWorld AI 2026-08-14 13:10 UTC Score 56.0 USR-0126-20260814-global-ai-ne-b2f6a33e Full article

Oracle’s new database security tool is free — for six months

Oracle has released a security tool intended to provide organizations with a centralized view of security risk across their database environments. Oracle Database Security Central will be available free of charge until the end of February 2027. It arrives at a critical time for Oracle customers, with attackers targeting security flaws to exploit the company’s database products . Oracle is also concerned about the threat posted by the launch of bug-hunting AI model Mythos . In May it responded by accelerating its patching schedule, switching to monthly releases rather than quarterly. The first monthly batch fixed 35 flaws . Oracle said Security Central will enable security teams to assess security posture, detect configuration drift, as well as identifying privileged-user and access risks. It will also keep an eye on sensitive data and analyze how it is being accessed, and collect audit evidence accordingly. Finally, it will manage security policies centrally to ensure that policy variance is not putting the company at risk.

Ben’s Bites 2026-08-14 13:04 UTC Score 26.0 AI-128-20260814-newsletters-6cbd8e08

Ben's session #2

What is a personal agent?

As online dating goes into ‘salvage mode’, can AI solve all its problems?
The Guardian AI 2026-08-14 13:00 UTC Score 50.0 AI-021-20260814-global-ai-ne-c6aa6919

As online dating goes into ‘salvage mode’, can AI solve all its problems?

Dating apps such as Bumble forced to adapt as ‘swipe fatigue’ grows Bumble was supposed to be different. When it launched in 2014, it offered women a simple proposition: if you matched with a man, you had to make the first move. The rule was meant to make online dating safer and less intimidating, while giving women control over who got to speak first. This week, Bumble abandoned it. Continue reading...

US-China AI decoupling ‘manageable’ for trade – but tech curbs a ‘wild card’: Citi
South China Morning Post AI 2026-08-14 13:00 UTC Score 49.0 AI-156-20260814-regional-ai--24f75eaa Full article

US-China AI decoupling ‘manageable’ for trade – but tech curbs a ‘wild card’: Citi

As US-China tech tensions rise ahead of an expected leadership summit next month, analysts argue Washington’s latest restrictions are unlikely to cause a major disruption in China’s AI exports. But they caution that some of the measures – such as limiting access to “open-weight” models – represent a “genuine wild card” that could reshape the global landscape. Hong Kong-based analysts at Citi Research, led by Yu Xiangrong, argued in a Friday note that US tariffs and export controls were “unlikely...

Cloudflare AI Blog 2026-08-14 13:00 UTC Score 47.0 USR-0067-20260814-ai-specialis-e1516675

Secure all your internal vibe-coded applications — in one click

Introducing Cloudflare Access for Workers. Attach an Access policy directly to a Worker and it applies everywhere that Worker runs — routes, custom domains, workers.dev, and previews — automatically.

MarTech AI 2026-08-14 12:52 UTC Score 33.0 USR-0123-20260814-global-ai-ne-5becc5bc

The 2027 CMO planning challenge is bigger than the budget

More budget won't fix a marketing model that no longer fits how buyers discover, evaluate, and decide. CMOs need to rethink where they invest. The post The 2027 CMO planning challenge is bigger than the budget appeared first on MarTech .

MarTech AI 2026-08-14 12:52 UTC Score 30.0 USR-0123-20260814-global-ai-ne-b70be6bb

How to decide what’s important when everything is urgent

Every task consumes time and resources. Here’s a system for deciding what earns a place on the agenda and what doesn’t. The post How to decide what’s important when everything is urgent appeared first on MarTech .

MarTech AI 2026-08-14 12:48 UTC Score 35.0 USR-0123-20260814-global-ai-ne-73ccf496

The data trust crisis: Why your customer data is getting worse

Unreliable customer data threatens your personalization and ROI. On Sept. 2, we'll discuss how to navigate data decay and build a high-trust measurement framework. The post The data trust crisis: Why your customer data is getting worse appeared first on MarTech .

PhysicsWallah revenue rises 24% to Rs 1,054 Cr in Q1 FY27; loss drops 31%
Entrackr AI 2026-08-14 12:36 UTC Score 33.0 USR-0212-20260814-regional-new-3564e338

PhysicsWallah revenue rises 24% to Rs 1,054 Cr in Q1 FY27; loss drops 31%

Edtech company PhysicsWallah reported a 24.4% year-on-year increase in revenue from operations in Q1 FY27, while its losses narrowed 30.7% during the quarter. PhysicsWallah’s revenue from operations increased to Rs 1,054 crore in Q1 FY27 from Rs 847 crore in Q1 FY26, according to its consolidated financial statement sourced from NSE. The company’s online business contributed Rs 549 crore, up 33.3% year-on-year from Rs 412 crore in Q1 FY26. Offline revenue grew 14.5% to Rs 490 crore, while revenue from other sources more than doubled to Rs 15 crore. PhysicsWallah also earned Rs 108 crore from other income, taking its total income to Rs 1,162 crore in Q1 FY27, compared with Rs 902 crore in Q1 FY26. On the expense side, employee benefits remained the largest cost component at Rs 528 crore, up 15.8% year-on-year from Rs 456 crore. Depreciation increased 12.7% to Rs 110 crore, while finance costs declined 23.1% to Rs 25.5 crore. Overall expenditure rose 18.3% to Rs 1,247 crore in Q1 FY27 from Rs 1,054 crore in Q1 FY26. PhysicsWallah’s net loss decreased 30.7% to Rs 88 crore in Q1 FY27 from Rs 127 crore in Q1 FY26. On a sequential basis, revenue from operations increased 14.7% to Rs 1,054 crore in Q1 FY27 from Rs 918.80 crore in Q4 FY26, while its net loss increased 27.7% from Rs 69.14 crore. At the end of today’s trading session, the Noida-based company’s share price closed at Rs 117.12, giving it a total market capitalization of Rs 34,274 crore ($3.6 billion). Recently, PhysicsW…

Not even the AI candyfloss economy can defy reality forever
South China Morning Post AI 2026-08-14 12:30 UTC Score 33.0 AI-156-20260814-regional-ai--97663be5

Not even the AI candyfloss economy can defy reality forever

Danish philosopher Soren Kierkegaard said that life is understood backwards and lived forward. We look at history to guide us, but the only way to truly know the future is to live our lives. If our perception of reality is subjective, then what we experience is based on beliefs or judgments that can be detached from reality. As financial markets become increasingly bubbly, Financial Times columnist Gillian Tett has described financial bubbles as a “candyfloss economy”. This term describes a...

MIT Technology Review AI 2026-08-14 12:17 UTC Score 45.0 AI-013-20260814-global-ai-ne-9ede57ea

The Download: Flock’s new rules, cloning’s future, and children’s cells

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Flock is tightening its rules in response to a growing surveillance backlash The police-tech giant Flock is changing officers’ access to its nationwide network of license plate readers. The move comes…

Gulf stuck in war-and-peace limbo
Semafor Technology 2026-08-14 12:16 UTC Score 43.0 USR-0094-20260814-global-ai-ne-775f379c Full article

Gulf stuck in war-and-peace limbo

The “region cannot remain in a state of neither war nor peace indefinitely,” Anwar Gargash, diplomatic adviser to UAE President Sheikh Mohamed bin Zayed, warned this week.

JetBrains AI Blog 2026-08-14 12:15 UTC Score 53.0 USR-0065-20260814-ai-specialis-2430f58a

Exploring Compose HTML for Server Side Rendering

Something is happening in server-rendered web development. React shipped Server Components. HTMX made “hypermedia” cool again. Phoenix LiveView proved a server can push interactive UI updates without a client framework in sight. Every ecosystem seems to be rediscovering the server as a place to render UI, except one: the JVM. What if Compose, the UI […]

Synced 2026-08-14 12:11 UTC Score 45.0 AI-041-20260814-ai-specialis-40729dbc Full article

Comment on Fighting Fire & Floods With Smart Emergency Systems by William

Really nice post, and the information is explained in a way that feels easy to understand. If you enjoy quick keyboard challenges, this Spacebar game is worth trying. The tool keeps things simple by letting you press the spacebar repeatedly and check your score.

Is your martech stack costing more time than it saves?
MarTech AI 2026-08-14 12:09 UTC Score 30.0 USR-0123-20260814-global-ai-ne-7b477ee7

Is your martech stack costing more time than it saves?

Disconnected systems create missed work and hours of admin. The real measure of martech productivity is how much work the stack eliminates. The post Is your martech stack costing more time than it saves? appeared first on MarTech .

Medianama AI 2026-08-14 12:04 UTC Score 33.0 USR-0211-20260814-regional-new-40e6c946

French publishers want Google to pay for AI news summaries

A French press association has asked France’s competition regulator to act against Google’s AI Overviews and AI Mode, alleging unpaid use of news content and significant declines in publisher traffic. The post French publishers want Google to pay for AI news summaries appeared first on MEDIANAMA .