The company on Wednesday introduced a beta of what it’s calling ‘AI teammates,’ in a bid to help move work inside an organization.
“We believe that the future of work is humans not just working with humans, but humans also working with AI,” Costello told TechCrunch.
“The work graph enables us to tell AI not just how work happens, but how work happens in this specific instance.
So when we embed AI teammates into a particular workflow, they’re given a specific job to do.
“We have found that we’re able to embed AI teammates to remove a lot of administrative work and tracking work within these systems very quickly, with high degrees of success.
CesiumAstro alleges in a newly filed lawsuit that a former executive disclosed trade secrets and confidential information about sensitive tech, investors, and customers to a competing startup.
Austin-based Cesium develops active phased array and software-defined radio systems for spacecraft, missiles, and drones.
But the suit says that Luther maintained “personal connections” with AnySignal’s cofounders, having worked with AnySignal CEO John Malsbury previously at a different company.
This resulted in AnySignal “recruiting and inducing Luther … to improperly disclose” the confidential and trade secret information, the suit says.
The suit was filed in Western District of Texas under no.
New AI models from Meta are making waves in technology circles.
Meta’s new Llama models have differently sized underlying datasets, with the Llama 3 8B model featuring eight billion parameters, and the Llama 3 70B model some seventy billion parameters.
The company’s new models, which were trained on 24,000 GPU clusters, perform well across benchmarks that Meta put them up against, besting some rivals’ models that were already in the market.
What matters for those of us not competing to build and release the most capable, or largest AI models, what we care about is that they are still getting better with time.
While Meta takes an open-source approach to AI work, its competitors are often prefer more closed-source work.
Last week, Meta started testing its AI chatbot in India across WhatsApp, Instagram, and Messenger.
Meta confirmed that it is restricting certain election-related keywords for AI in the test phase.
When you ask Meta AI about specific politicians, candidates, officeholders, and certain other terms, it will redirect you to the Election Commission’s website.
But just like other AI-powered systems, Meta AI has some inconsistencies.
This week, the company rolled out a new Llama-3-powered Meta AI chatbot in more than a dozen countries, including the U.S., but India was missing from the list.
That means there’s a market for a layer between companies and Large Language Models (LLMs) — something companies can use to pick LLMs easily without needing to commit for all time to one platform.
That’s the market Langdock is targeting with its chat interface that sits between LLMs and a company.
“Companies don’t want to have a vendor lock-in on just one of those LLM providers,” Lennard Schmidt, co-founder and CEO of Langdock, told TechCrunch.
In addition to the chat interface, the company also offers security, cloud and on-premises solutions.
In contrast, Langdock’s chat interface works for a broader range of use cases and can be used by any kind of staff.
That’s privacy by design.”The funding is notable in part because Cape appeal to users is not yet proven.
The latest round is being co-led by A* and Andreessen Horowitz, with XYZ Ventures, ex/ante, Costanoa Ventures, Point72 Ventures, Forward Deployed VC, and Karman Ventures also participating.
Those jobs may exposed him to users (government departments) who treated the security of personal information and privacy around data usage as essential.
(Cape today also announced a partnership with USCellular — which itself provides a MNVO covering 12 cellular networks, and Doyle said that it’s talking with other telcos, too).
Although payments for this might be anonymous, a user’s data is still routed through the network infrastructure of the underlying carrier, making a users movements and usage observable.
NASA’s decision to scrap its $11 billion, 15-year mission to Mars to bring back samples could create a startup feeding frenzy, TechCrunch reports.
Describing its plans as too slow, and too expensive, NASA is going back to the drawing board, with an eye on getting the space industry to help.
But space startups are not worried about it.
So, the NASA money might have a bunch of startup-sized buckets to drip into, and I am here for it.
To that end, if any startup that works with NASA on the Mars rock mission needs a human to send up there to check on the dials and such, I’m your guy.
Serve Robotics, the Uber and Nvidia-backed sidewalk robot delivery company, debuted publicly on the New York stock exchange Thursday, making it the latest startup to choose going public via a reverse merger as an alternative path to capital needed to fund growth.
While Serve’s debut in the public markets comes from a reverse merger and not a SPAC, the two alternate paths to IPO are not too dissimilar.
However, Serve Robotics said it’s expecting enormous growth fueled by money generated by going public.
“I never thought that I would start a robotics company and then be in the ads business,” said a tired, but excited, Kashani in a phone interview minutes before the bell rang.
Upon the closing of the merger, Uber held a 16.6% stake and Nvidia an 14.3% stake in Serve, according to regulatory filings.
Humans have cast metal parts in basically the same way for thousands of years: by pouring molten metal into a mold, often made of compacted sand and clay.
To make those parts, Magnus Metals borrows elements of sand casting and 3D printing to perform what it calls digital casting.
Magnus Metals plans to sell its machines to customers as well as the proprietary ceramic that’s used to produce the bases.
And unlike 3D printing, which usually requires specific feedstocks, Magnus Metals said its system can use customer specified materials.
The method doesn’t require expensive tooling to create the bases, unlike molds for sand casting, according to the Magnus Metals.
Google has terminated the employment of 28 employees following a prolonged sit-in protest at the company’s Sunnyvale and New York offices.
The protests were in response to Project Nimbus, a $1.2 billion cloud computing contract inked by Google and Amazon with the Israeli government and its military three years ago.
So many workers don’t know that Google has this contract with the IOF [Israel Offensive Forces].
Those of us sitting in Thomas Kurian’s office repeatedly requested to speak with the Google Cloud CEO, but our requests were denied.
Hundreds and thousands of Google workers have joined No Tech for Apartheid’s call for the company to Drop Project Nimbus.
