Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 2353

The downturn in the technology sector — dragged by inflation, higher interest rates and geopolitical events — continues to persist, and one of the most acutely impacted areas has been VC funding for startups, particularly those outside the U.S. According to VC firm Atomico, companies in Europe are on track to raise just $42 billion this year — less than half the $85 billion that startups in the region raised in 2022.

The figures come from Atomico’s big report on the state of European tech, which it publishes annually.

It also found that startups in the region are raising less at each stage of funding from Seed through to Series C (and beyond), with later stage and larger companies feeling a particular pinch: just 7 “unicorns” (startups with a valuation of more than $1 billion) are set to emerge this year in Europe, compared to 48 in 2022 and 108 in 2021.

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It comes 3 years after Amazon debuted its ‘handy’ authentication service for consumers.

Amazon’s cloud computing subsidiary AWS (Amazon Web Services) has lifted the lid on a new palm-scanning identity service that allows companies to authenticate people when entering physical premises.

The announcement comes as part of AWS’s annual Re: Invent conference, which is running in Las Vegas for the duration of this week.

Amazon One Enterprise, as the new service is called, builds on the company’s existing Amazon One offering which it debuted back in 2020 to enable biometric payments in Amazon’s own surveillance-powered cashierless stores. Visitors to Amazon Go stores can associate their payment card with their palm-print, allowing them to enter the store and complete their transaction by hovering their hand over a scanner.

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Elon Musk is hyping the imminent release of his ChatGPT competitor Grok, yet another example of how his entire personality is just itself a biological LLM made by ingesting all of Reddit and 4chan. Grok already seems patterned in many ways off of the worst of Elon’s indulgences, with the sense of humor of a desperately unfunny and regressive internet troll, and biases informed by a man whose horrible, dangerous biases are fully invisible to himself.

There are all kinds of reasons to be wary of Grok, including the standard reasons to be wary of any current LLM-based AI technology, like hallucinations and inaccuracies. Layer on Elon Musk’s recent track record for disastrous social sensitivity and generally harmful approach to world-shaping issues, and we’re already looking at even more reason for concern. But the real risk probably isn’t yet so easy to grok, just because we have little understanding yet of the extent of the impact that widespread use of LLMs across our daily and online lives will have.

One key area where they’re already having and are bound to have much more of an impact is user-generated content. We’ve seen companies already deploying first-party integrations that start to embrace some of these uses, like Artifact with its AI-generated thumbnails for shared posts, and Meta adding chatbots to basically everything. Musk is debuting Grok on X as a feature reserved for Premium+ subscribers initially, with a rollout supposedly beginning this week.

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Has OpenAI invented an AI technology with the potential to “threaten humanity”? From some of the recent headlines, you might be inclined to think so.

Reuters and The Information first reported last week that several OpenAI staff members had, in a letter to the AI startup’s board of directors, flagged the “prowess” and “potential danger” of an internal research project known as “Q*.” This AI project, according to the reporting, could solve certain math problems — albeit only at grade-school level — but had in the researchers’ opinion a chance of building toward an elusive technical breakthrough.

There’s now debate as to whether OpenAI’s board ever received such a letter — The Verge cites a source suggesting that it didn’t. But the framing of Q* aside, Q* in actuality might not be as monumental — or threatening — as it sounds. It might not even be new.

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Artificial intelligence has been steadily infused into various parts of the Synopsys EDA tool suite for the last few years. What started in 2021 with DSO.ai, a tool created to accelerate, enhance and reduce the costs associated with the place-and-route stage of semiconductor design (sometimes called PnR or floor planning), has been expanded across the company’s complete toolchain, called Synopsys.ai suite, which covers virtually the entire chip development workflow. Despite its numerous successes in recent years, however, Synopsys isn’t done innovating. Last week the company announced a strategic collaboration with Microsoft to deliver what it is calling the Synopsys.ai Copilot, a contextually-aware generative AI (GenAI) tool that assists human design teams via conversational intelligence using natural language.

If you missed the previous announcement, the Synopsys.ai Copilot is powered by OpenAI technology running on Microsoft’s Azure on-demand, high-performance cloud infrastructure. Synopsys.ai Copilot is meant to alleviate much of the grunt work required of engineers during RTL generation and verification, similar to the way ChatGPT’s conversational AI capabilities have brought productivity improvements to numerous other industries. Chip designers can effectively ask the Synopsys.ai Copilot questions in plain English, to gain insights into results, produce documentation, or ascertain information about a myriad of other criteria. Today Synopsys revealed that AMD, Intel and Microsoft are already working with the Synopsys.ai GenAI capabilities on various designs.

The generative AI of the Synopsys.ai Copilot enables a number of new capabilities. Collaborative tools can offer engineers guidance on everything from design tools to EDA workflows, and it can provide quick analysis of results. The aria-label="Synopsys.ai Copilot”>Synopsys.ai Copilot can also expedite development of RTL (register-transfer level abstraction), formal verification assertion creation, UVM test benches, and layout design. Synopsys.ai Copilot will also enable end-to-end workflow creation using natural language across the Synopsys.ai suite.

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