AI News Archive: July 10, 2026 — Part 9
Sourced from 500+ daily AI sources, scored by relevance.
- Solution Integrator (GCP + Agentic AI)
Solution Integrator (GCP + Agentic AI) Built In
- Sr Staff Engineer - AI Engineering
Sr Staff Engineer - AI Engineering Built In
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AI Security Engineer Built In
- Sr. Manager, Data & AI Platform - 11314
Sr. Manager, Data & AI Platform - 11314 Built In
- Senior Specialist Solutions Architect (AI/ML)
Senior Specialist Solutions Architect (AI/ML) Built In
Score: 05🌐 MovesJul 10, 2026https://builtin.com/job/senior-specialist-solutions-architect-ai-ml/10137342 - AlphAI
Financial news, structured for AI agents.
- AI Invoice Maker
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- Biomarker-informed CSF proteomics reveals ENPP2-LPA lipid signaling associated with Alzheimer's disease
Background: Alzheimer's disease (AD) involves complex molecular alterations in the cerebrospinal fluid (CSF) proteome, yet the links between these protein changes and hallmark AD pathology remain incompletely defined. We investigated the relationship between the CSF proteome with CSF biomarkers of Alzheimer's disease (AD). Methods: CSF was collected in 500 individuals of non-Hispanic white, African Americans, and Caribbean Hispanic individuals. CSF biomarkers of AD were measured including P-tau181, A{beta}40, A{beta}42, total-tau, neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). CSF was depleted of abundant proteins followed by precipitation, cysteine reduction/alkylation, and proteolytic cleavage by trypsin. Peptides were measured using a Q-Exactive HF mass spectrometer (Thermo Scientific). Association of individual and co-abundant modules of proteins were tested using elevated CSF P-tau181 and reduced A{beta}42/A{beta}40 to confirm the diagnosis of AD. We validated results in CSF from 397 participants in the Accelerated Medicine Partnership-Alzheimer's Disease cohort. Associated proteins were functionally validated in postmortem human brains and zebrafish. Results: We detected 1030 proteins, yielding an overall data completeness value of 97%. CSF levels of 75 (7.3%) proteins were significantly associated with CSF P-tau181 levels after multiple testing correction. Notably phospholipase D3 (PLD3, p=2.41E-09), apoE (p=4.25e-08) and osteopontin (OPN p=1.4E-16) were increased and autotaxin (ATX/ENPP2, p= 8.39E-09) and ceruloplasmin (CP) (p=2.72E-07) were lower among individuals with high P-tau181 levels. These proteins were also associated with CSF A{beta}42/A{beta}40 ratio and total tau levels but not with NfL. OPN was also associated with CSF levels of GFAP (p=1.32e-05). Among proteins associated with P-tau181 levels, pathways related to axon development (p=2.4E-12), axonogenesis (p=1.45E-11) and regulation of axonogenesis (p=5.1E-09) were enriched. Immunostaining on postmortem human and zebrafish brain found that ENPP2 expression, the gene encoding ATX, was significantly reduced in AD brain and in the amyloidosis model in zebrafish. Reduced ENPP2 expression was consistent with reduced lysophosphatidic acid (LPA) levels in the CSF of individuals with AD. LPA administration into zebrafish CSF reduced the pathological changes in synapses and vasculature due to A{beta}42. Conclusion: Unbiased profiling of circulating CSF proteins among individuals with antemortem diagnosis of AD, identified key proteins PLD3, apoE, OPN, ATX, and ceruloplasmin. Validation in postmortem human brains and zebrafish models support potential roles in endosomal sorting and APP processing, inflammation, angiogenesis, lipid transport, and oxidative stress.
- Divergent Recovery Trajectories: The Influence of Injury Mechanism on Stair-Climbing Outcomes After Traumatic Brain Injury - a TBI Model Systems Study
Background/Objectives: Traumatic Brain Injuries (TBIs) often cause profound functional impairments, yet the influence of TBI mechanisms on stair-climbing functional independence over extended timelines remains poorly understood. This study assesses whether Rasch-transformed FIM Stairs scores varied by TBI mechanism over follow-ups spanning 10 years or more. Methods: Data from the TBI Model Systems database were analyzed. The original 30,768 data entries were reduced to 6,226, corresponding to individuals with at least 10 years of data. Functional Independence Measure Stairs data were transformed to logit units via Rasch analysis before being evaluated with a linear mixed-effects regression, incorporating TBI mechanisms, age, follow-up time, and their interactions, with random effects accounting for the participant ID and pre-injury residence location. Results: TBI mechanisms meaningfully shape very long-term stair-climbing. Gunshot wounds and pedestrian-related accidents are associated with poorer performances, whereas motorcycles, bicycles, unclassified vehicular accidents, winter sports, other sports, and fall-related TBIs demonstrated relatively better function. Age, follow-up time, and their interaction also reached significance. Conclusions: Stair-climbing recovery trajectories over extended time significantly vary by TBI mechanism, with individuals with TBIs from gunshots and pedestrian-related accidents showing the most unfavorable recoveries. These findings support the development of mechanism-specific prognostic guidance and individualized rehabilitation strategies, thereby encouraging tailored approaches to improve outcomes.
- SnapSubtitles
AI video captions where your video never leaves the browser.
- Meta removes controversial AI feature on Instagram after backlash
"Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way," the company said in a blog post. "We've heard the feedback that this feature missed the mark, so it's no longer available."
- Meta's new AI image maker draws fire over consent
Meta's move to allow user to create AI images using the likenesses of people with public Instagram accounts is drawing criticism from several camps, including privacy advocates and those who represent celebrities. Why it matters: The backlash highlights a core AI-era fight: whether people should have to opt out of having their faces used in AI-generated content, or whether companies should get affirmative consent first. Catch-up quick : Earlier this week, Meta debuted its Muse Image model and a feature within Meta AI that allowed people to tag any adult's public Instagram account and include that person's likeness in their creations. Users aren't notified when someone creates an AI image with their likeness and Instagram account holders have to opt out if they don't want their images used. What they're saying: Public Citizen called this an "egregious invasion" of peoples' privacy. "Meta has once again chosen the creepiest possible path," J.B. Branch, director of federal AI governance and technology policy at Public Citizen, said in a statement. "People should not wake up to discover their face has become raw material for someone else's AI experiment." The other side: Meta says its image generation tool "has built-in protections designed to prevent the generation of policy-violating content, including violent, sexual, or defamatory imagery of real people." Meta has yet to change its policy in reaction to the opposition. Meta Superintelligence Labs chief Alexandr Wang told Axios that the company has heard similar feedback from some corners. "We're definitely receiving a lot of the feedback and are being thoughtful about what the next steps for that product should be," Wang said. Talent agency CAA , meanwhile, called for Meta to change its policy so that people have to affirmatively give consent for their likeness to be used. "No one's name, image, likeness, voice, or creative work should be used by any third party, including AI models, without clear, documented consent," CAA said in a statement. "Artists deserve to decide if and how their likeness and work is used, with consent and the ability to set their own terms. This means letting creators impose restrictions, monitor usage, and prevent unauthorized endorsements or exploitation." SAG-AFTRA , the largest labor union for actors, recommended its members turn off sharing. "SAG-AFTRA recommends that #SagAftraMembers (and all Instagram users) opt-OUT of Meta's new AI image generation tool, Muse Image," it said in an X post on Thursday, which also included the instructions to do so. "Take action to protect your likeness." How it works: For those that want to see the opt-out process in action, check out this video from Axios' Madison Mills.
- Meta just pulled its most controversial AI image generation feature days after launch
Meta launched then pulled a feature letting anyone generate AI images of public Instagram users who were opted in by default.
- Meta removes feature that let users generate AI images from public Instagram posts
Meta AI joined the image generation space this week . However, it did so with a controversial default setting that users found upsetting.
- Meta turns off the Instagram feature that let users make AI deepfakes of public accounts
Following significant backlash, Meta is turning off the feature it announced this week that let users generate AI images based on content from public Instagram accounts just by tagging them. The feature, as originally set up, meant that content from any public Instagram account could be used in AI creations without the account owner's permission. […]
- Apple sues OpenAI over alleged trade secret theft
Apple alleges the misconduct was directed by OpenAI's senior leadership, including a longtime former employee.
- Apple Sues OpenAI, Alleging It Stole Trade Secrets
Former Apple employees took confidential information to OpenAI to advance the AI company’s device efforts, Apple claims.
- The biggest bombshells from Apple's trade secrets lawsuit against OpenAI
The biggest bombshells from Apple's trade secrets lawsuit against OpenAI Business Insider
- Apple skewers OpenAI's recruiting practices in bombshell lawsuit
Apple skewers OpenAI's recruiting practices in bombshell lawsuit Business Insider
- Apple sues OpenAI, alleging artificial intelligence company stole trade secrets
Suit claims OpenAI poached Apple workers, coaxing them to share confidential material in bid to create hardware Apple filed a lawsuit against OpenAI on Friday alleging the artificial intelligence firm stole company trade secrets in a move to create its own hardware device. The suit claims OpenAI poached Apple employees, coaxing them to hand over confidential material, product designs and other tightly held information. Continue reading...
- Apple sues OpenAI alleging theft of top-secret information
Lawsuit marks collapse of relationship between two of the biggest names in Silicon Valley
- Apple sues OpenAI, its employees claiming theft of trade secrets
Apple said in a Friday lawsuit that OpenAI’s nascent hardware business is “rotten to its core.”
- Apple sues OpenAI for stealing trade secrets
Apple on Friday sued OpenAI, accusing the artificial intelligence company of orchestrating a campaign to steal the iPhone maker’s trade secrets as it tries to develop its own consumer hardware device. The lawsuit – filed in a federal court in San Jose, California – paints a picture of an aggressive effort by OpenAI to poach Apple employees and extract confidential information to build its own device. The lawsuit marks a dramatic escalation in tensions between two companies that partnered in 2024...
- Apple Is Suing OpenAI for Allegedly Stealing Hardware Secrets
The iPhone maker claims OpenAI encouraged poached employees to bring over confidential presentations, secret prototypes, and key supplier details.
- Apple files lawsuit accusing ChatGPT maker OpenAI of stealing trade secrets
Apple files lawsuit accusing ChatGPT maker OpenAI of stealing trade secrets Toronto Star
- Apple files lawsuit, accuses OpenAI of stealing trade secrets
Apple files lawsuit, accuses OpenAI of stealing trade secrets CBC
- Apple Sues OpenAI, Claiming Job Interviews Were Used to Steal iPhone Secrets
The iPhone maker is seeking an injunction that could reach into OpenAI’s $6.5-billion hardware bet, alleging the company sought Apple parts and supplier secrets.
- Apple calls OpenAI's hardware business 'rotten to its core' in trade secret theft lawsuit
The lawsuit also names io Products, the hardware company led by Jony Ive.
- Apple sues OpenAI over alleged theft of trade secrets — claims company mentored incoming employees on bringing confidential information
Apple sued OpenAI, including its own former employees, over the theft of trade secrets as both companies build up AI hardware businesses.
- Apple Sues OpenAI, Alleges Its Hardware Business Is 'Rotten to the Core'
Apple Sues OpenAI, Alleges Its Hardware Business Is 'Rotten to the Core' PCMag
- Apple files lawsuit accusing ChatGPT maker OpenAI of stealing trade secrets
Apple files lawsuit accusing ChatGPT maker OpenAI of stealing trade secrets San Francisco Chronicle
- Apple files lawsuit accusing ChatGPT maker OpenAI of stealing trade secrets
Apple on Friday accused OpenAI of stealing trade secrets as it seeks to build its own hardware for ChatGPT, a major rupture in a partnership between the iPhone maker and the artificial intelligence company
- Apple Sues OpenAI, Claiming Employees Stole Trade Secrets
In a complaint filed Friday, Apple accuses OpenAI of illegally accessing information about unannounced products.
- 'OpenAI has been stealing Apple’s trade secrets and confidential information': The 4 biggest allegations in Apple's lawsuit against OpenAI
'OpenAI has been stealing Apple’s trade secrets and confidential information': The 4 biggest allegations in Apple's lawsuit against OpenAI Tom's Guide
- Apple is suing OpenAI over theft of trade secrets in blockbuster lawsuit
Apple has sued OpenAI, alleging the company orchestrated a campaign to steal confidential product information through former employees as both companies race to build next-generation AI hardware.
- OpenAI responds to Apple’s trade secret theft lawsuit
OpenAI has issued a formal statement in response to Apple’s lawsuit accusing the company of trade secret theft. Read it below.
- Apple sues OpenAI, accuses ex-employees of stealing trade secrets
Apple has filed a lawsuit against OpenAI today, accusing the company of trade secret theft. Specifically, Apple alleges that its former employees have stolen trade secrets “for the benefit of OpenAI.” “This case is about Apple’s former employees stealing Apple’s trade secrets for the benefit of OpenAI. Apple brings this suit to put a stop to it,” the lawsuit says.