[-] [email protected] 1 points 1 day ago

I lold at that, too :)

[-] [email protected] 32 points 3 days ago

10-in-one from hair to car

[-] [email protected] 8 points 1 week ago

Which model with how many parameters du you use in ollama? With 8GB you should only be able to use the smallest models, which ist faaaar from ideal:

You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.

[-] [email protected] 5 points 1 week ago
[-] [email protected] 7 points 1 week ago

Amaretto soda

[-] [email protected] 22 points 1 week ago

SET BLASTER=A220 I5 D1 H5 P330 T6

[-] [email protected] 1 points 1 week ago

Well, 2000€ for a "Pro" model of the Macbook 14" with only 8GB RAM sounds a bit strange, tbf. And +230€ for +8GB is straight up greedy.

They said "Actually, 8GB on an M3 MacBook Pro is probably analogous to 16GB on other systems" and well , that's definitely not the case for their upcoming AI usecases, because - and many people seem to overlook that - their RAM is shared RAM (or as they call it "unified memory"), which means that the GPU is limited by these 8GB of (V)RAM because it can only use what is left by the System usage.

[-] [email protected] 1 points 1 week ago
734
submitted 1 week ago by [email protected] to c/[email protected]

There were a number of exciting announcements from Apple at WWDC 2024, from macOS Sequoia to Apple Intelligence. However, a subtle addition to Xcode 16 — the development environment for Apple platforms, like iOS and macOS — is a feature called Predictive Code Completion. Unfortunately, if you bought into Apple's claim that 8GB of unified memory was enough for base-model Apple silicon Macs, you won't be able to use it. There's a memory requirement for Predictive Code Completion in Xcode 16, and it's the closest thing we'll get from Apple to an admission that 8GB of memory isn't really enough for a new Mac in 2024.

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submitted 1 month ago by [email protected] to c/[email protected]

A team of researchers from prominent universities – including SUNY Buffalo, Iowa State, UNC Charlotte, and Purdue – were able to turn an autonomous vehicle (AV) operated on the open sourced Apollo driving platform from Chinese web giant Baidu into a deadly weapon by tricking its multi-sensor fusion system, and suggest the attack could be applied to other self-driving cars.

326
submitted 1 month ago by [email protected] to c/[email protected]

There were a series of accusations about our company last August from a former employee. Immediately following these accusations, LMG hired Roper Greyell - a large Vancouver-based law firm specializing in labor and employment law, to conduct a third-party investigation. Their website describes them as “one of the largest employment and labour law firms in Western Canada.” They work with both private and public sector employers.

To ensure a fair investigation, LMG did not comment or publicly release any data and asked our team members to do the same. Now that the investigation is complete, we’re able to provide a summary of the findings.

The investigation found that:

  • Claims of bullying and harassment were not substantiated.

  • Allegations that sexual harassment were ignored or not addressed were false.

  • Any concerns that were raised were investigated. Furthermore, from reviewing our history, the investigator is confident that if any other concerns had been raised, we would have investigated them.

  • There was no evidence of “abuse of power” or retaliation. The individual involved may not have agreed with our decisions or performance feedback, but our actions were for legitimate work-related purposes, and our business reasons were valid.

  • Allegations of process errors and miscommunication while onboarding this individual were partially substantiated, but the investigator found ample documentary evidence of LMG working to rectify the errors and the individual being treated generously and respectfully. When they had questions, they were responded to and addressed.

In summary, as confirmed by the investigation, the allegations made against the team were largely unfounded, misleading, and unfair.

With all of that said, in the spirit of ongoing improvement, the investigator shared their general recommendation that fast-growing workplaces should invest in continuing professional development. The investigator encouraged us to provide further training to our team about how to raise concerns to reinforce our existing workplace policies.

Prior to receiving this report, LMG solicited anonymous feedback from the team in an effort to ensure there was no unreported bullying and harassment and hosted a training session which reiterated our workplace policies and reinforced our reporting structure. LMG will continue to assess ongoing continuing education for our team.

At this time, we feel our case for a defamation suit would be very strong; however, our deepest wish is to simply put all of this behind us. We hope that will be the case, given the investigator’s clear findings that the allegations made online were misrepresentations of what actually occurred. We will continue to assess if there is persistent reputational damage or further defamation.

This doesn’t mean our company is perfect and our journey is over. We are continuously learning and trying to do better. Thank you all for being part of our community.

33
submitted 1 month ago by [email protected] to c/[email protected]

Abhilfeklage gegen Amazon Digital Germany GmbH

169
submitted 1 month ago by [email protected] to c/[email protected]

Apple's huge database, which usually records the locations of Wi-Fi base stations to the nearest metre, has apparently been exploited without hindrance: With little effort, attackers are able to create a ‘global snapshot’ of all the location data of the WLANs recorded there. This allows them - over a longer period of time - to track changes in the location of the routers usually belonging to a household or sometimes even of individuals, as two researchers from the University of Maryland have now demonstrated.

The researchers consider it particularly problematic that Apple's Wi-Fi database can be read out practically unhindered and immediately provides the location data for ‘several hundred’ additional BSSIDs (the physical MAC addresses of the routers) to the requesting client without being asked via an apparently unlimited API. In this respect, Apple's Wi-Fi database also differs fundamentally from other Wi-Fi databases, such as the one operated by Google.

245
submitted 1 month ago by [email protected] to c/[email protected]
94
submitted 2 months ago by [email protected] to c/[email protected]
197
submitted 2 months ago by [email protected] to c/[email protected]

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sverit

joined 2 months ago