Monthly Archives: January 2021

News: Senti Bio raises $105 million for its new programmable biology platform and cancer therapies

Senti Biosciences, a company developing cancer therapies using a new programmable biology platform, said it has raised $105 million in a new round of financing led by the venture arm of life sciences giant, Bayer. The company’s technology uses new computational biological techniques to manufacture cell and gene therapies that can more precisely target specific

Senti Biosciences, a company developing cancer therapies using a new programmable biology platform, said it has raised $105 million in a new round of financing led by the venture arm of life sciences giant, Bayer.

The company’s technology uses new computational biological techniques to manufacture cell and gene therapies that can more precisely target specific cells in the body.

Senti Bio’s chief executive, Tim Lu, compares his company’s new tech to the difference between basic programming and object oriented programming. “Instead of creating a program that just says ‘Hello world’, you can introduce ‘if’ statements and object oriented programming,” said Lu.

By building genetic material that can target multiple receptors, Senti Bio’s therapies can be more precise in the way they identify genetic material in the body and deliver the kinds of therapies directly to the pathogens. “”Instead of the cell expressing a single receptor… now we have two receptors,” he said.

The company is initially applying its gene circuit technology platform to develop therapies that use what are called chimeric antigen receptor natural killer (CAR-NK) cells that can target cancer cells in the body and eliminate them. Many existing cell and gene therapies use chimeric antigen receptor T-cells, which are white blood cells in the body that are critical to immune response and destroy cellular pathogens in the body.

However, T-cell-based therapies can be toxic to patients, stimulating immune responses that can be almost as dangerous as the pathogens themselves. Using CAR-NK cells produces similar results with fewer side effects.
That’s independent of the gene circuit,” said Lu. “The gene circuit gets you specificity… Right now when you use a CAR-T cell or a CAR-NK cell… you find a target and hope that it doesn’t affect normal cells. We can build logic in our gene circuits in the cell that means a CAR-NK cell can identify two targets rather than one.”

That increased targeting means lower risks of healthy cells being destroyed alongside mutations or pathogens that are in the body.

For Lu and his co-founders — fellow MIT professor Jim Collins, Boston University professor, Wilson Wong, and longtime synthetic biology operator, Phillip Lee — Senti Bio is the culmination of decades of work in the field.

“I compare it to the early days of semiconductor work,” Lu said of the journey to develop this gene circuit technology. “There were bits and pieces of technology being developed in research labs, but to realize the scale at which you need, this has to be done at the industrial level.”

So licensing work from MIT, Boston University and Stanford, Lu and his co-founders set out to take this work out of the labs to start a company.

When the company was started it was a bag of tools and the know-how on how to use them,” Lu said. But it wasn’t a fully developed platform. 

That’s what the company now has and with the new capital from Leaps by Bayer and its other investors, Senti is ready to start commercializing.

The first products will be therapies for acute myeloid leukemia, hepatocellular carcinoma, and other, undisclosed, solid tumor targets, the company said in a statement.

“Leaps by Bayer’s mission is to invest in breakthrough technologies that may transform the lives of millions of patients for the better,” said Juergen Eckhardt, MD, Head of Leaps by Bayer. “We believe that synthetic biology will become an important pillar in next-generation cell and gene therapy, and that Senti Bio’s leadership in designing and optimizing biological circuits fits precisely with our ambition to prevent and cure cancer and to regenerate lost tissue function.”

Lu and his co-founders also see their work as a platform for developing other cell therapies for other diseases and applications — and intend to partner with other pharmaceutical companies to bring those products to market.  

“Over the past two years, our team has designed, built and tested thousands of sophisticated gene circuits to drive a robust product pipeline, focused initially on allogeneic CAR-NK cell therapies for difficult-to-treat liquid and solid tumor indications,” Lu said in a statement. “I look forward to continued platform and pipeline advancements, including starting IND-enabling studies in 2021.”

The new financing round brings Senti’s total capital raised to just under $160 million and Lu said the new money will be used to ramp up manufacturing and accelerate its work partnering with other pharmaceutical companies.

The current timeframe is to get its investigational new drug permits filed by late 2022 and early 2023 and have initial clinical trials begun in 2023.

Developing gene circuits is new and expanding field with a number of players including Cell Design Labs, which was acquired by Gilead in 2017 for up to $567 million. Other companies working on similar therapies include CRISPR Therapeutics, Intellius, and Editas, Lu said.

News: Atlanta’s SalesLoft raises $100M for its digital sales platform, now valued at $1.1B

The Covid-19 pandemic and specifically need for social distancing to slow the spread of the virus have continued to keep many of us away from the office. Now, increasingly, many organizations and people believe that it could usher in a more permanent shift to remote, distributed and virtual work. Today, a startup that has built

The Covid-19 pandemic and specifically need for social distancing to slow the spread of the virus have continued to keep many of us away from the office. Now, increasingly, many organizations and people believe that it could usher in a more permanent shift to remote, distributed and virtual work. Today, a startup that has built a set of tools specifically to help salespeople with that change — by way of digital sales — has raised a substantial growth round to meet that demand.

SalesLoft, a sales platform based out of Atlanta, Georgia that provides AI-baseed tools to help salespeople run their sales process virtually — from finding and following up on leads, through to helping them sell with virtual coaching tools, and then assisting in the post-sales process — has closed $100 million in funding.

The company’s co-founder and CEO Kyle Porter confirmed to TechCrunch that the company is now valued at $1.1 billion post-money, a substantial hike on its previous valuation. In April 2019, well before any global health pandemics, the company had raised a Series D of $70 million at around a $600 million valuation (a figure we confirmed at the time with sources close to the company).

This latest round is being led by Owl Rock Capital, with previous investors Insight Partners, HarbourVest, and Emergence Capital — a VC focused specifically on enterprise startups, which notably was an early backer of Zoom and many others — also participating.

SalesLoft has now raised some $245 million, an impressive sum for any startup, but also worth pointing out for the fact that its not based out of the Valley but Atlanta, Georgia (a state in the news for other reasons at the moment, as the focus of a hotly contested US Senate runoff election).

The company has been on a growth tear for several years now, as one of the big players in the area of so-called sales engagement: tools to help salespeople sell better to clients (or would-be clients), which can include real-time monitoring of interactions to provide coaching to improve the process, suggestions for supplementary content to enhance the pitch, and more basic software simply to manage records and communications.

Even before the pandemic hit, this was a key growth area in enterprise software, with both in-person and online/digital salespeople relying on these kinds of products to help them get more of an edge with their work, but a lot of the focus had really been on inside sales (B2B sales focusing on bigger purchases). Porter described the effect of Covid-19 as a “tailwind” propelling that already strong trend.

“The effects of Covid have been a tailwind due to the effects of digital selling,” he said. “All sellers immediately became remote. But now the genie is out of the bottle and not going back in. It’s meant that inside sales are now all sales. Whether the opportunities are mid-funnel or upgrades or renewals, we are establishing ourselves as the engagement platform of record because it’s all becoming digital and all sellers are finding more success.”

He added that SalesLoft’s own sales cycle has improved by 40% since the pandemic, a reflection, he said, of the “urgency and need” for tools like those that the startup develops.

Another shift has been in terms of the kinds of customers SalesLoft works with. The company originally was focused on the mid-market, but that has changed with more larger enterprises also coming on board. Google, LinkedIn (which backs SalesLoft and is in a strategic partnership with it), Cisco, Dell and IBM are all customers, and Porter said that more “mainstream” businesses like Cargil, 3M and Standard & Poor are also increasingly becoming clients.

That is leading the startup to building out bigger solutions, beyond the basic pitch of “sales engagement” that has been SalesLoft’s mainstay up to now. The company competes against a plethora of others including of ClariChorus.aiGongConversicaAfiniti and Outreach, as well as biggies like Salesforce. Outreach, notably, had a big mid-Covid round of its own, raising at a $1.3 billion valuation in June last year, a mark of that wider market demand. Porter notes that SalesLoft’s big selling point is that it offers an increasingly end-to-end sales solution to customers, meaning less shopping around.

News: Indian B2B e-commerce startup Udaan raises $280 million

Business-to-business marketplace Udaan has raised $280 million from new and existing investors as the Indian startup builds a war-chest to accelerate its growth and fend off rivals. The new capital is not part of a new financing round but is an extension of Series D. The Bangalore-based startup, which secured $585 million prior to the

Business-to-business marketplace Udaan has raised $280 million from new and existing investors as the Indian startup builds a war-chest to accelerate its growth and fend off rivals.

The new capital is not part of a new financing round but is an extension of Series D. The Bangalore-based startup, which secured $585 million prior to the new capital as part of its Series D round and $1.15 billion overall to date, is now valued at over $3.1 billion, a source familiar with the matter told TechCrunch.

Octahedron Capital and Moonstone Capital are financing the fresh capital, with participation from existing investors Lightspeed Venture Partners, DST Global, GGV Capital, Altimeter Capital, and Tencent.

Much of the business-to-business market in India remains unorganized. This means that merchants in the nation today have to travel to other cities — where all the major dealers operate — to stock up their inventory. But these merchants don’t have much negotiating leverage, so they struggle to find best-value for money and access to a wider selection of catalogues.

Udaan, co-founded by three former Flipkart executives, is solving this problem by connecting small retailers with wholesalers and traders. The startup today serves over 3 million retailers and small and medium-sized businesses and it has on boarded thousands of brands including Coca Cola, PepsiCo, Boat Lifestyle, Micromax, HP, LG, ITC, HUL, and P&G.

Amod Malviya, co-founder of Udaan, said in a statement that the coronavirus pandemic underscored the significance of small businesses and mom-and-pop shops (popularly known as kiranas) in the country.

“Udaan is at the forefront of this uniquely Indian e-commerce opportunity, emerging in the last 4 years as one of the largest e-commerce platforms in India, while taking an India-first mobile-first approach to e-commerce. This financing enables us to further our journey of taking e-commerce to the depth and breadth of the country, with Udaan’s unique low-cost model for core middle India,” he said.

Other than the inventory problem, Udaan also helps merchants secure working capital. Small businesses, especially mom-and-pop shops, rely on money they secure from selling their existing inventory to buy the next batch. Since Udaan is able to see the engagement of different merchants on the platform, it is able to provide working capital to them ahead on time.

These decades-old challenges also present a massive potential reward to firms. “The unaddressed SME credit demand in India is ~US$300-$350 billion, with more than 90% of current demand being met by banks. A typical digital SME lender focusses on Rs1-5 million ($13,575 to $67,875) ticket size with no collateral, average tenure ~12-18 months, and with some ecosystem anchor,” analysts at Bank of America wrote in a recent equity research report, obtained by TechCrunch.

“While growth potential in theory is high, despite much higher yields, we don’t find their economics to be much superior to banks even in a steady state. Overall, steady state ROE (return on equity) for an average digital SME lender is unlikely to be much more than 18% levels — not meaningfully higher than a big private bank,” they wrote.

Udaan said it will deploy the fresh capital in further creating the market, and expanding the selection of products and categories it currently offers. Additionally, the four-year-old startup said it will expand its financing capabilities for small businesses and its supply chain network.

The fresh fundraise “reflects the long-term truly transformative and fundamental value creation potential that Udaan platform offers for the lives and businesses of Indian MSMEs, who are major job creators and form the backbone of our economy and the society,” said Malviya. “Participation of existing and new investors in this financing highlights the increasing recognition of capital markets of this unique nature of the Indian market, and the opportunity it offers.

In the past two years, scores of startups and giants such as Reliance, and Amazon have started to explore the business-to-business market in India. Reliance Retail is the largest retail chain in India, where it serves more than 3.5 million customers each week through its nearly 10,000 physical stores in more than 6,500 cities and towns in the country.

The retail chain entered the e-commerce space with JioMart in late 2019 through a joint venture with Jio Platforms. By mid last year, JioMart had established presence in over 200 Indian cities and towns. On top of this, Reliance Retail has a partnership with Facebook for WhatsApp integrationFacebook, which invested $5.7 billion in Jio Platforms earlier this year, has said that it will explore various ways to work with Reliance to digitize the nation’s mom and pop stores, as well as other small- and medium-sized businesses.

For JioMart, Reliance Retail is working with retail shops, giving them a digital point-of-sale machine to make it easier for them to accept money electronically. It is also allowing these shops to buy their inventory from Reliance Retail, and then using their physical presence as delivery points. It’s currently largely focused on grocery delivery, however.  In a recent report to clients, Goldman Sachs analysts estimated that Reliance could become the largest player in online grocery within three years.

News: Indonesian robo-advisor app Bibit raises $30 million led by Sequoia Capital India

Bibit, a robo-advisor app that wants to make investing more accessible in Indonesia, has raised $30 million from Sequoia Capital India. Returning investors East Ventures, EV Growth, AC Ventures and 500 Startups also participated. This funding is a growth round and comes after Bibit’s May 2019 Series A. It brings the company’s total funding so

Bibit, a robo-advisor app that wants to make investing more accessible in Indonesia, has raised $30 million from Sequoia Capital India. Returning investors East Ventures, EV Growth, AC Ventures and 500 Startups also participated.

This funding is a growth round and comes after Bibit’s May 2019 Series A. It brings the company’s total funding so far to $45 million, chief executive officer Sigit Kouwagam told TechCrunch.

Part of Stockbit Group, about 90% of Bibit’s users are millennials and first-time investors. Like other robo-advisors, the aim of Bibit is to make it easier to create a portfolio tailored to each person’s risk profile and investment goals. Other investment apps in Indonesia tapping into growing demand for retail investment producgts include Bareksa and SoftBank Ventures-backed Ajaib.

Bibit claims that over the past year, it has registered more than one million first-time investors. As an example of market potential, the company cites data from the Indonesian Stock Exchange and Indonesia Central Securities Depository that showed the number of retail investors in the country grew 56% year-over-year in 2020, with about 92% of new investors aged between 21 to 40. But only about 2% of Indonesians have participated in the stock market.

Kouwagam said most Indonesians invest their money in term deposit bank accounts or leave it in low-yield checking accounts.

“Traditionally, they also invest real estate or physical godl bars,” he added, but millennial and Gen Z investors are shifting toward “higher-yielding liquid investments that are also convenient to manage and can be started with a lower ticket size.”

The pandemic has also prompted more users build an emergency fund, with more Indonesians looking at the capital market for higher-yielding assets as an alternative to low-interest bank accounts.

News: Oxbotica raises $47M to deploy its autonomous vehicle software in industrial applications

While the world continues to await the arrival of safe, reliable and cost-effective self-driving cars, one of the pioneers in the world of autonomous vehicle software has raised some substantial funding to double down on what it sees as a more immediate opportunity: providing technology to industrial companies to build off-road applications. Oxbotica, the Oxford,

While the world continues to await the arrival of safe, reliable and cost-effective self-driving cars, one of the pioneers in the world of autonomous vehicle software has raised some substantial funding to double down on what it sees as a more immediate opportunity: providing technology to industrial companies to build off-road applications.

Oxbotica, the Oxford, England startup that builds what it calls “universal autonomy” — flexible technology that it says can power the navigation, perception, user interfaces, fleet management and other features needed to run self-driving vehicles in multiple environments, regardless of the hardware being used — has picked up $47 million in a Series B round of funding from an interesting mix of strategic and financial investors.

Led by bp ventures, the investing arm of oil and gas giant bp, the round also includes BGF, safety equipment maker Halma, pension fund HostPlus, IP Group, Tencent, Venture Science and funds advised by Doxa Partners.

Oxbotica said it plans to use the capital to fuel a raft of upcoming deployments — several that will be coming online this year, according to its CEO — for clients in areas like mining, port logistics and more, with its lead investor bp an indication of the size of its customers and the kinds of projects that are in its sights.

The question, CEO Ozgur Tohumcu said in an interview, is “Where is the autonomy needed today? If you go to mines or ports, you can see vehicles in use already,” he said. “We see a huge transformation happening in the industrial domain.”

The funding and focus on industry are interesting turns for Oxbotica. The startup has been around since about 2014, originally as a spinout from Oxford University co-founded by academics Paul Newman and Ingmar Posner — Newman remains at the startup as its CTO, while Posner remains an AI professor at Oxford.

Oxbotica has been associated with a number of high-profile projects — early on, it provided sensor technology for Nasa’s Mars Rover, for example.

Over time, it has streamlined what it does to two main platforms that it calls Selenium and Caesium, covering respectively navigation, mapping, perception, machine learning, data export and related technology; and fleet management.

Newman says that what makes Oxbotica stand out from other autonomous software providers is that its systems are lighter and easier to use.

“Where we are good is in edge compute,” he said. “Our radar-based maps are 10 megabytes to cover a kilometer rather than hundreds of megabytes… Our business plan is to build a horizontal software platform like Microsoft’s.” That may underplay the efficiency of what it’s building, however: Oxbotica also has worked out how to efficiently transfer the enormous data loads associated with autonomous systems, and is working with companies like Cisco to bring these online.

In recent years Oxbotica has been synonymous with some of the more notable on-road self-driving schemes in the U.K. But, as you would expect with autonomous car projects, not everything has panned out as expected.

A self-driving pilot Oxbotica kicked off with London-based car service Addison Lee in 2018 projected that it would have its first cars on the road by 2021. That project was quietly shut down, however, when Addison Lee was sold on by Carlyle last year and the company abandoned costly moonshots. Another effort, the publicly backed Project Endeavour to build autonomous car systems across towns in England, appears to still be in progress.

The turn to industrial customers, Newman said, is coming alongside those more ambitious, larger-scale applications. “Industrial autonomy for off-road refineries, ports and airports happens on the way to on-road autonomy,” he said, with the focus firmly remaining on providing software that can be used with different hardware. “We’ve always had this vision of ‘no atoms, just software,’ ” he said. “There is nothing special about the road. Our point is to be agnostic, to make sure it works on any hardware platform.”

It may claim to have always been interested in hardware- and application-agnostic autonomy, but these days it’s being joined by others that have tried the other route and have decided to follow the Oxbotica strategy instead. They include FiveAI, another hyped autonomous startup out of the U.K. that originally wanted to build its own fleet of self-driving vehicles but instead last year pivoted to providing its software technology on a B2B basis for other hardware makers.

Oxbotica has now raised about $80 million to date, and it’s not disclosing its valuation but is optimistic that the coming year — with deployments and other new partnerships — will bear out that it’s doing just fine in the current market.

“bp ventures are delighted to invest in Oxbotica – we believe its software could accelerate the market for autonomous vehicles,” said Erin Hallock, bp ventures managing partner, in a statement. “Helping to accelerate the global revolution in mobility is at the heart of bp’s strategy to become an integrated energy company focused on delivering solutions for customers.”

News: Google to add App Store privacy labels to its iOS apps as soon as this week

Contrary to reports, Google is not delaying updates to its iOS apps because it doesn’t want to comply with Apple’s recently announced App Store Privacy Labels policy. The new policy, a part of the company’s larger privacy push, requires developers to disclose how data is collected from App Store users and used to track them.

Contrary to reports, Google is not delaying updates to its iOS apps because it doesn’t want to comply with Apple’s recently announced App Store Privacy Labels policy. The new policy, a part of the company’s larger privacy push, requires developers to disclose how data is collected from App Store users and used to track them. TechCrunch confirmed Google is not taking a stand against the labels. It is, in fact, preparing to roll out privacy labels across its sizable iOS app catalog as soon as this week or the next.

TechCrunch looked into the situation with Google’s apps following a story by Fast Company today that speculated that Google’s slowdown on releasing iOS app updates could be because it was not ready to be transparent about the data it collects from its users. The report stated that “not a single one” of Google’s apps had been updated since December 7, 2020 — coincidentally, just one day before Apple’s new privacy label requirements went into effect on the App Store.

It went on to suggest the late November to early December time frame when many of Google’s iOS apps were updated was another indication that Google was trying to squeeze in a few last updates before the app privacy label deadline.

There are a few problems with speculation, however.

For starters, Google actually did update two of its apps after the deadline — but those updates didn’t include privacy labels.

Google Slides, the slideshow presentation app and one of Google’s more significant apps in the productivity space, was updated on December 14, 2020. And Socratic by Google, a homework helper and the No. 7 free app in the Education category, was updated on December 15. (We fact-checked this data with Sensor Tower’s assistance, as Google’s iOS catalog is nearing 100 iPhone apps!)

While it may seem Google is skirting Apple’s new rules, we must also be careful about reading too much into the update timing. A slowdown in December app updates isn’t unusual by any stretch. Nor is it suspicious to see app changes pushed out to the public in the weeks before Christmas and New Year’s because the Apple’s App Store itself shuts down over the holidays. This year, The App Store closed from December 23 through December 27, 2020 for its annual break.

And like other large companies, Google goes on a code freeze in late December through early January, so as not to cause major issues with its products and services over the holidays when staff is out.

Google also isn’t the only major app publisher that delayed an immediate embrace of app privacy labels. Amazon and Pinterest haven’t yet updated with privacy labels as of the time of writing, for example.

Of course, none of this is to say that app privacy labels aren’t a concern for Google, given its primary business is advertising. In fact, they’re being taken quite seriously — with execs attending meetings to discuss that sort of thing.

Apple may have given Google some leeway on the matter, it seems, as it allowed Google’s apps to update after the deadline without submitting the privacy label information. (That probably won’t make happy smaller developers who worked to comply with the deadline, however.)

Reached for comment, a Google spokesperson confirmed the company has a plan to add privacy labels across its app catalog. They also confirmed the labels are expected to begin rolling out as soon as this week or next week, though an exact date is not yet available.

News: OpenAI’s DALL-E creates plausible images of literally anything you ask it to

OpenAI’s latest strange yet fascinating creation is DALL-E, which by way of hasty summary might be called “GPT-3 for images.” It creates illustrations, photos, renders, or whatever method you prefer, of anything you can intelligibly describe, from “a cat wearing a bow tie” to “a daikon radish in a tutu walking a dog.” But don’t

OpenAI’s latest strange yet fascinating creation is DALL-E, which by way of hasty summary might be called “GPT-3 for images.” It creates illustrations, photos, renders, or whatever method you prefer, of anything you can intelligibly describe, from “a cat wearing a bow tie” to “a daikon radish in a tutu walking a dog.” But don’t write stock photography and illustration’s obituaries just yet.

As usual, OpenAI’s description of its invention is quite readable and not overly technical. But it bears a bit of contextualizing.

What researchers created with GPT-3 was an AI that, given a prompt, would attempt to generate a plausible version of what it describes. So if you say “a story about a child who finds a witch in the woods,” it will try to write one — and if you hit the button again, it will write it again, differently. And again, and again, and again.

Some of these attempts will be better than others; indeed, some will be barely coherent while others may be nearly indistinguishable from something written by a human. But it doesn’t output garbage or serious grammatical errors, which makes it suitable for a variety of tasks, as startups and researchers are exploring right now.

DALL-E (a combination of Dali and WALL-E) takes this concept one further. Turning text into images has been done for years by AI agents, with varying but steadily increasing success. In this case the agent uses the language understanding and context provided by GPT-3 and its underlying structure to create a plausible image that matches a prompt.

As OpenAI puts it:

GPT-3 showed that language can be used to instruct a large neural network to perform a variety of text generation tasks. Image GPT showed that the same type of neural network can also be used to generate images with high fidelity. We extend these findings to show that manipulating visual concepts through language is now within reach.

What they mean is that an image generator of this type can be manipulated naturally, simply by telling it what to do. Sure, you could dig into its guts and find the token that represents color, and decode its pathways so you can activate and change them, the way you might stimulate the neurons of a real brain. But you wouldn’t do that when asking your staff illustrator to make something blue rather than green. You just say, “a blue car” instead of “a green car” and they get it.

So it is with DALL-E, which understands these prompts and rarely fails in any serious way, although it must be said that even when looking at the best of a hundred or a thousand attempts, many images it generates are more than a little… off. Of which later.

In the OpenAI post, the researchers give copious interactive examples of how the system can be told to do minor variations of the same idea, and the result is plausible and often quite good. The truth is these systems can be very fragile, as they admit DALL-E is in some ways, and saying “a green leather purse shaped like a pentagon” may produce what’s expected but “a blue suede purse shaped like a pentagon” might produce nightmare fuel. Why? It’s hard to say, given the black-box nature of these systems.

But DALL-E is remarkably robust to such changes, and reliably produces pretty much whatever you ask for. A torus of guacamole, a sphere of zebra; a large blue block sitting on a small red block; a front view of a happy capybara, an isometric view of a sad capybara; and so on and so forth. You can play with all the examples at the post.

It also exhibited some unintended but useful behaviors, using intuitive logic to understand requests like asking it to make multiple sketches of the same (non-existent) cat, with the original on top and the sketch on the bottom. No special coding here: “We did not anticipate that this capability would emerge, and made no modifications to the neural network or training procedure to encourage it.” This is fine.

Interestingly, another new system from OpenAI, CLIP, was used in conjunction with DALL-E to understand and rank the images in question, though it’s a little more technical and harder to understand. You can read about CLIP here.

The implications of this capability are many and various, so much so that I won’t attempt to go into them here. Even OpenAI punts:

In the future, we plan to analyze how models like DALL·E relate to societal issues like economic impact on certain work processes and professions, the potential for bias in the model outputs, and the longer term ethical challenges implied by this technology.

Right now, like GPT-3, this technology is amazing and yet difficult to make clear predictions regarding.

Notably, very little of what it produces seems truly “final” — that is to say, I couldn’t tell it to make a lead image for anything I’ve written lately and expect it to put out something I could use without modification. Even a brief inspection reveals all kinds of AI weirdness (Janelle Shane’s specialty), and while these rough edges will certainly be buffed off in time, it’s far from safe, the way GPT-3 text can’t just be sent out unedited in place of human writing.

It helps to generate many and pick the top few, as the following collection shows:

AI-generated illustrations of radishes walking dogs.

The top 8 out of a total of X generated, with X increasing to the right.

That’s not to detract from OpenAI’s accomplishment here. This is fabulously interesting and powerful work, and like the company’s other projects it will no doubt develop into something even more fabulous and interesting before long.

News: Daily Crunch: NYSE won’t delist Chinese telcos

The New York Stock Exchange reverses course, Nintendo acquires a game studio and an Indian electronics and lifestyle startup raises $100 million. This is your Daily Crunch for January 5, 2021. The big story: NYSE won’t delist Chinese telcos The New York Stock Exchange is reversing a recent decision to delist China’s three major telecom

The New York Stock Exchange reverses course, Nintendo acquires a game studio and an Indian electronics and lifestyle startup raises $100 million. This is your Daily Crunch for January 5, 2021.

The big story: NYSE won’t delist Chinese telcos

The New York Stock Exchange is reversing a recent decision to delist China’s three major telecom operators — China Mobile, China Unicom and China Telecom — which was supposed to be part of a Trump administration policy to block investment in companies that supply and support China’s military.

The exchange said the reversal is taking place “in light of further consultation with relevant regulatory authorities,” and that shares will be traded while NYSE officials evaluate how the executive order applies.

If the delisting does occur, it would be largely symbolic, since only a small percentage of the telecoms’ total shares are traded in New York.

The tech giants

Nintendo buys Canadian game studio in rare acquisition — Nintendo is acquiring Canada-based Next Level Games, which developed Luigi’s Mansion 3.

Jack Ma’s absence from public eye sparks Twitter discussions — The world’s attention is on Jack Ma’s whereabouts after reports noted the billionaire founder of Alibaba and Ant Group had been absent from public view since late October.

Startups, funding and venture capital

P&G terminates plan to acquire razor startup Billie following FTC lawsuit — In December, the FTC sued to block P&G’s acquisition of Billie.

Indian electronics and lifestyle brand Boat raises $100M from Warburg Pincus — The round gives Boat a post-money valuation of about $300 million.

Divvy raises $165M as the spend management space stays red-hot — Divvy’s market (corporate cards and software that help firms manage and limit expenses) is incredibly active.

Advice and analysis from Extra Crunch

Affirm targets up to $38 per share in IPO, pushing its valuation above $9B — The new S-1 follows a late-December filing of a similar nature.

8 investors discuss social gaming’s biggest opportunities — Investors expressed excitement around the widening entertainment ambitions of social platforms.

How Segment redesigned its core systems to solve an existential scaling crisis — Segment was just beginning to take off in 2015 when it ran into a scaling problem.

(Extra Crunch is our membership program, which aims to democratize information about startups. You can sign up here.)

Everything else

FBI, NSA say ongoing hacks at US federal agencies ‘likely Russian in origin’ — The U.S. government says hackers “likely Russian in origin” are responsible for breaching the networks of at least 10 federal agencies and several major tech companies.

C by GE gets rebranded under new ownership, expands beyond lighting — Back in May, General Electric sold off its more than 100-year-old GE Lighting division to smart home company Savant.

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News: Sources: Hinge Health has raised $310M Series D at a $3B valuation

Hinge Health, the San Francisco-based company that offers a digital solution to treat chronic musculoskeletal (MSK) conditions — such as back and joint pain — has closed a $310 million in Series D funding, according to sources. The round is led by Coatue and Tiger Global, and values 2015-founded Hinge at $3 billion post-money, people

Hinge Health, the San Francisco-based company that offers a digital solution to treat chronic musculoskeletal (MSK) conditions — such as back and joint pain — has closed a $310 million in Series D funding, according to sources.

The round is led by Coatue and Tiger Global, and values 2015-founded Hinge at $3 billion post-money, people familiar with the investment tell me. It comes off the back of a 300% increase in revenue in 2020, with investors told to expect revenue to nearly triple again in 2021 based on the company’s booked pipeline.

I also understand that Hinge’s founders — Daniel Perez and Gabriel Mecklenburg — retain voting control of the board. I’ve reached out to CEO Perez for comment and will update this post should I hear back.

Hinge’s existing investors include Bessemer Venture Partners, which backed the company’s $90 million Series C round in February, along with Lead Edge Capital, Insight Partners (which led the Series B), Atomico (which led the Series A), 11.2 Capital, Quadrille Capital and Heuristic Capital.

Originally based in London, Hinge Health primarily sells into U.S. employers and health plans, billing itself as a digital healthcare solution for chronic MSK conditions. The platform combines wearable sensors, an app and health coaching to remotely deliver physical therapy and behavioral health.

The basic premise is that there is plenty of existing research to show how best to treat chronic MSK disorders, but existing healthcare systems aren’t up to the task due to funding pressures and for other systematic reasons. The result is an over tendency to use opioid-based painkillers or surgery, with poor results and often at even greater cost. Hinge wants to reverse this through the use of technology and better data, with a focus on improving treatment adherence.

Meanwhile, Hinge’s jump in valuation is significant. According to sources, the company’s February round produced a valuation of around $420 million, so the new valuation is more than a 6x increase.

News: Facebook will turn all US political advertising off again after Georgia runoffs

Georgia is the only state in the U.S. right now where Facebook allows political ads to run, but after Tuesday’s polls close that’s set to change. According to Facebook’s site detailing changes to its ad policies and a story from Axios, the company will no longer allow political and social issue ads anywhere in the

Georgia is the only state in the U.S. right now where Facebook allows political ads to run, but after Tuesday’s polls close that’s set to change.

According to Facebook’s site detailing changes to its ad policies and a story from Axios, the company will no longer allow political and social issue ads anywhere in the country, Georgia included, beginning early tomorrow.

Facebook told TechCrunch that the decision to toggle political ads in Georgia off again brings that state in line with its current “nationwide pause” on social issue, election and politics ads. A Facebook spokesperson declined to say when political ads will again be allowed or if permanently blocking them from the platform is under consideration.

The company first hit pause on those ad categories November 4 as a precaution designed to reduce misinformation in the U.S. presidential election. On December 16, the company re-allowed political ads in Georgia, inviting eager campaigns to pay to get their messages in front of Facebook users. It appears that some politicians, Sen. Ted Cruz (R-TX) among them, pounced on Facebook’s Georgia loophole to raise money for themselves in spite of restrictions.

When political ads came flooding back in for Georgians, they edged out mainstream news sources, according to new reporting from The Markup. While that result is fairly intuitive, it does underline the outsized influence of targeting political advertising in Facebook’s information ecosystem.

Plenty of politicians and political groups are likely eager to get back to fundraising on Facebook. The company’s decision to keep the pause in place suggests that it’s still evaluating how — and perhaps if — it wants to handle political ads in the future. But Facebook also might be waiting for the storm to pass in light of the misinformation that plagued November’s drawn-out process of calculating election results.

It’s also worth noting that Facebook’s head of advertising integrity Rob Leathern left the company at the end of December, calling his team’s work on the 2020 U.S. election the “culmination of a huge amount of effort over several years.” Leathern helped sculpt the company’s policies around political advertising — decisions that were often controversial due to the prevalence of paid misinformation sweeping through the platform throughout 2020.

Because they will decide control of the Senate, the unusual pair of runoff races in a state that just flipped blue are high-stakes for both political parties. With a Democratic Senate, the Biden administration’s ambitious plans for things like COVID relief and the climate crisis will have a much better shot at becoming a reality. And for Republicans looking to stymie the president-elect’s policy priorities, extended control of the Senate would put a powerful barrier in Biden’s way.

 

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